1
|
Spisto M, Moretta P, Senerchia G, Iuzzolino VV, Aruta L, Salvatore E, Santangelo G, Trojano L, Dubbioso R. Identifying Mild Behavioral and Neurocognitive Impairment in Amyotrophic Lateral Sclerosis (MBNI-ALS) Provides Key Prognostic Insights. Eur J Neurol 2025; 32:e70171. [PMID: 40312886 DOI: 10.1111/ene.70171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2025] [Revised: 03/19/2025] [Accepted: 04/13/2025] [Indexed: 05/03/2025]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a multisystem neurodegenerative disease encompassing cognitive and behavioral impairments. The Revised Diagnostic Criteria for ALS-frontotemporal spectrum disorder (ALS-FTDS), while widely adopted, may overlook subtle impairments such as memory and visuospatial deficits, limiting their prognostic value. OBJECTIVES This study aimed to apply the Mild Behavioral and Neurocognitive Impairment (MBNI) approach, adapted from other neurodegenerative diseases, to ALS patients and assess its prognostic utility for survival and disease progression. METHODS A prospective cohort of 201 ALS patients was evaluated between January 2018 and July 2024. Participants underwent comprehensive cognitive and behavioral assessments. The MBNI approach identified patients with mild cognitive impairment (MCI), mild behavioral impairment (MBI), or combined cognitive-behavioral impairment (MCBI). Prognostic value was analyzed using Kaplan-Meier survival curves, Cox proportional hazards models, and logistic regression for disease progression. RESULTS Mild cognitive and/or behavioral impairments were detected in 67% of patients classified as cognitively normal by ALS-FTDS criteria. At a median follow-up of 15 months, these patients showed shorter tracheostomy-free survival (all p < 0.005). MCI (HR5.3; CI 1.10-25.41; p = 0.038) and frontotemporal dementia (HR6.2; Confidence Interval: 1.34-28.40; p = 0.019) independently predicted poor outcomes. Logistic regression confirmed that MCBI and frontotemporal dementia were associated with rapid progression (both p < 0.019). CONCLUSION The MBNI approach enhances the detection of mild cognitive and behavioral impairments in ALS, providing prognostic insights and improving stratification over the Revised Diagnostic Criteria for ALS-FTDS. This framework supports personalized care and the design of clinical trials targeting early disease stages.
Collapse
Affiliation(s)
- Myriam Spisto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University Federico II of Naples, Naples, Italy
- Department of Psychology, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Pasquale Moretta
- Istituti Clinici Scientifici Maugeri IRCCS, Neurological Rehabilitation Unit of Telese Terme Institute, Benevento, Italy
| | - Gianmaria Senerchia
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University Federico II of Naples, Naples, Italy
| | - Valentina Virginia Iuzzolino
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University Federico II of Naples, Naples, Italy
| | - Lucia Aruta
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University Federico II of Naples, Naples, Italy
| | - Elena Salvatore
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
| | - Gabriella Santangelo
- Department of Psychology, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Luigi Trojano
- Department of Psychology, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Raffaele Dubbioso
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University Federico II of Naples, Naples, Italy
| |
Collapse
|
2
|
Aiello EN, Verde F, Curti B, De Luca G, Diana L, Sirtori MA, Maranzano A, Curatoli C, Zanin A, Camporeale E, Gnesa A, Silani V, Bolognini N, Ticozzi N, Poletti B. Screening properties of the updated normative framework for the Italian MMSE in MCI and dementia. Neurol Sci 2025; 46:2073-2080. [PMID: 39775365 DOI: 10.1007/s10072-024-07952-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2024] [Accepted: 12/16/2024] [Indexed: 01/11/2025]
Abstract
BACKGROUND This study aimed to assess the screening properties of Foderaro et al.s' updated normative framework for the Italian MMSE in detecting mild cognitive impairment (MCI) and dementia due to neurodegenerative, chronic cerebrovascular, and mixed etiologies, as well as in differentiating between these two syndromes. METHODS Data on 234 patients with either MCI (N = 83) or dementia (N = 151) due to Alzheimer's disease (N = 112), Lewy body disease (N = 11), frontotemporal lobar degeneration (N = 20), chronic cerebrovascular disease (N = 39), or mixed (N = 47) etiologies having been administered Foderaro et al.'s version of the MMSE were retrospectively recruited. Moreover, N = 247 healthy controls (HCs) with a normal Montreal Cognitive Assessment performance were prospectively recruited. Receiver-operating characteristics analyses were run to test the capability of both raw and demographically adjusted MMSE scores to discriminate both HCs from MCI/dementia and MCI from dementia. For these comparisons, screening metrics were also computed at Foderaro et al.'s cut-off (<26.02). RESULTS The capability of demographically adjusted MMSE scores to discriminate both HCs from dementia and MCI from dementia was excellent (AUC = 0.91 and 0.93, respectively), whilst good for MCI case-finding (AUC = 0.85). Consistently, the screening metrics associated with the cut-off at hand were optimal-to-excellent for dementia case-finding (sensitivity = 0.95; specificity = 0.99) and for the differentiation between MCI and dementia (sensitivity = 0.95; specificity = 0.64), whilst imbalanced for detecting MCI (sensitivity = 0.35; specificity = 0.99). DISCUSSION Foderaro et al.'s updated normative framework for the Italian MMSE has optimal screening properties for both dementia case-finding and the discrimination between MCI and dementia, being at variance unbalanced towards specificity when it comes to detecting MCI.
Collapse
Affiliation(s)
- Edoardo Nicolò Aiello
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Federico Verde
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy.
| | - Beatrice Curti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Giulia De Luca
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Lorenzo Diana
- Laboratory of Neuropsychology, Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Martina Andrea Sirtori
- Laboratory of Neuropsychology, Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Alessio Maranzano
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Chiara Curatoli
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Alice Zanin
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Elisa Camporeale
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Alessandra Gnesa
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Nadia Bolognini
- Laboratory of Neuropsychology, Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Psychology, University of Milano-Bicocca, Milano, Italy
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Barbara Poletti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy
| |
Collapse
|
3
|
Palombo MO, Foran AM. Effectiveness of the Hayling and Brixton Tests for Detecting Dementia, Progressive Cognitive Decline, and Mild Cognitive Impairment in Middle to Older Aged Adults: A Systematic Review and Meta-analysis. Neuropsychol Rev 2025:10.1007/s11065-025-09658-6. [PMID: 40240733 DOI: 10.1007/s11065-025-09658-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 01/14/2025] [Indexed: 04/18/2025]
Abstract
The aging population is increasing the prevalence of dementia, neurodegenerative disorders, and mild cognitive impairment, which are associated with cognitive declines in executive functioning. In people with these disorders, accurate tests can aid in the early detection of executive functioning decline and facilitate access to interventions. The Hayling and Brixton tests (HBTs) are popular executive functioning tests that assess inhibitory control. The HBTs may be especially effective for detecting people with disorders that are associated with disinhibition, such as behavioral-variant frontotemporal dementia (bvFTD). However, the effectiveness of the HBTs for detecting cognitive decline in dementia, neurodegenerative disorders, and mild cognitive impairment has yet to be collated. A comprehensive search of five databases identified 50 studies that compared the HBTs performances of adults aged 40 years and over with a dementia, neurodegenerative disorder, or mild cognitive impairment (e.g., Parkinson's disease, Alzheimer's dementia, bvFTD) and cognitively-healthy controls. Hedges' g effect sizes compared groups on the five HBTs scores (Inhibition Errors, Inhibition Reaction Time (RT), Automatic RT, Inhibition minus Automatic RT, and Brixton Errors). The disorders (combined) showed negative effects on all HBTs scores (g - 0.37 to - 1.13), with dementia (combined) performing the worst (g - 0.54 to - 1.56). Automatic RT and Inhibition Errors were the most effective scores for detecting cognitive decline in dementia (g - 1.55; g - 1.34). The dementia types performed similar after outliers were removed and only studies with low risk-of-bias were analyzed. Overall, the HBTs are effective for detecting cognitive decline in middle to older aged adults, especially those with dementia. However, no score type can be recommended for differentiating the dementia types, such as AD and bvFTD.
Collapse
Affiliation(s)
- M O Palombo
- School of Psychology, University of Adelaide, Adelaide, Australia
| | - A M Foran
- School of Psychology, University of Adelaide, Adelaide, Australia.
| |
Collapse
|
4
|
Sanderson-Cimino M, Gross AL, Gaynor LS, Paolillo EW, Saloner R, Albert MS, Apostolova FLG, Boersema B, Boxer AL, Boeve BF, Casaletto KB, Hallgarth SR, Diaz VE, Clark LR, Maillard P, Eloyan A, Farias ST, Gonzales MM, Hammers DB, Joie RL, Cobigo Y, Wolf A, Hampstead BM, Mechanic-Hamilton D, Miller BL, Rabinovici GD, Ringman JM, Rosen HJ, Ryman SG, Prestopnik JL, Salmon DP, Smith GE, DeCarli C, Rajan KB, Jin LW, Hinman J, Johnson DK, Harvey D, Fornage M, Kramer JH, Staffaroni AM. Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.03.31.25324964. [PMID: 40236433 PMCID: PMC11998833 DOI: 10.1101/2025.03.31.25324964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/17/2025]
Abstract
INTRODUCTION List-learning tasks are important for characterizing memory in ADRD research, but the Uniform Data Set neuropsychological battery (UDS-NB) lacks a list-learning paradigm; thus, sites administer a range of tests. We developed a harmonized memory composite that incorporates UDS memory tests and multiple list-learning tasks. METHODS Item-banking confirmatory factor analysis was applied to develop a memory composite in a diagnostically heterogenous sample (n=5943) who completed the UDS-NB and one of five list-learning tasks. Construct validity was evaluated through associations with demographics, disease severity, cognitive tasks, brain volume, and plasma phosphorylated tau (p-tau181 and p-tau217). Test-retest reliability was assessed. Analyses were replicated in a racially/ethnically diverse cohort (n=1058). RESULTS Fit indices, loadings, distributions, and test-retest reliability were adequate. Expected associations with demographics and clinical measures within development and validation cohorts supported validity. DISCUSSION This composite enables researchers to incorporate multiple list-learning tasks with other UDS measures to create a single metric.
Collapse
Affiliation(s)
- Mark Sanderson-Cimino
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Leslie S. Gaynor
- Division of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Vanderbilt Memory and Aging Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Emily W. Paolillo
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Rowan Saloner
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - fLiana G. Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Brooke Boersema
- Department of Neurology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Adam L. Boxer
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | | | - Kaitlin B. Casaletto
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Savannah R. Hallgarth
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Valentina E. Diaz
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Lindsay R. Clark
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53726, USA
| | - Pauline Maillard
- Department of Neurology, University of California at Davis, Sacramento, CA, 95816, USA
| | - Ani Eloyan
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, RI, 02912, USA
| | | | - Mitzi M. Gonzales
- Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Dustin B. Hammers
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Renaud La Joie
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Yann Cobigo
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Amy Wolf
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | | | - Dawn Mechanic-Hamilton
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Bruce L. Miller
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Gil D. Rabinovici
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - John M. Ringman
- Department of Neurology, Keck School of Medicine at USC, Los Angeles, CA, 90033, USA
| | - Howie J. Rosen
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Sephira G. Ryman
- Center for Memory & Aging, University of New Mexico, Albuquerque, NM, 87110, USA
| | | | - David P. Salmon
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92161, USA
| | - Glenn E. Smith
- 1Florida Alzheimer’s Disease Research Center, Gainesville, FL, 32610, USA
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, 32603, USA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, CA, 95816, USA
| | - Kumar B. Rajan
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Lee-Way Jin
- Department of Pathology and Laboratory Medicine University of California, Davis, CA, 95817, USA
| | - Jason Hinman
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, 90095, United States
| | - David K. Johnson
- Department of Neurology, University of California at Davis, Sacramento, CA, 95816, USA
| | - Danielle Harvey
- Department of Public Health Sciences University of California, Davis, CA, 95616, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Joel H. Kramer
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Adam M. Staffaroni
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| |
Collapse
|
5
|
Memel M, Staffaroni AM, Ilan‐Gala I, Castro JG, Kornak J, Tartaglia CM, Saloner R, VandeBunte AM, Paolillo EW, Cadwallader CJ, Chen C, Gorno‐Tempini ML, Mandelli M, Apostolova L, Graff‐Radford N, Litvan I, Bayram E, Pressman PS, Miyagawa T, Mackenzie I, Goldman J, Darby RR, Appleby BS, Petrucelli L, Gendron T, Heuer HW, Forseberg LK, Rojas JC, Boeve BF, Brushaber N, Domoto‐Reilly K, Ghoshal N, Lapid M, Pascual B, Lee S, Ramos EM, Ramanan V, Rademakers R, Rascovsky K, Pantelyat A, Masdeu JC, Snyder A, Boxer AL, Rosen HJ, Casaletto K. Sex differences in the clinical manifestation of autosomal dominant frontotemporal dementia. Alzheimers Dement 2025; 21:e14630. [PMID: 40277077 PMCID: PMC12022891 DOI: 10.1002/alz.14630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 11/21/2024] [Accepted: 12/28/2024] [Indexed: 04/26/2025]
Abstract
INTRODUCTION Sex differences are apparent in neurodegenerative diseases but have not been comprehensively characterized in frontotemporal dementia (FTD). METHODS Participants included 337 adults with autosomal dominant FTD enrolled in the ALLFTD Consortium. Clinical assessments and plasma were collected annually for up to 6 years. Linear mixed-effects models investigated how sex and disease stage are associated with longitudinal trajectories of cognition, function, and neurofilament light chain (NfL). RESULTS While sex differences were not apparent at asymptomatic stages, females showed more rapid declines across all outcomes in symptomatic stages compared to males. In asymptomatic participants, the association between baseline NfL and clinical trajectories was weaker in females versus males, a difference that was not present in symptomatic participants. DISCUSSION In genetic FTD, females show cognitive resilience in early disease stages followed by steeper clinical declines later in the disease. Baseline NfL may be a less sensitive prognostic tool for clinical progression in females with FTD-causing mutations. HIGHLIGHTS Females with genetic FTD exhibit overall steeper increases in plasma neurofilament light chain (NfL) than males. Females with genetic FTD outperform NfL levels in asymptomatic stages compared to males. Once symptomatic, females with genetic FTD decline more rapidly than males. Plasma NfL is a stronger prognostic marker in asymptomatic males than females.
Collapse
Affiliation(s)
- Molly Memel
- Ray Dolby Brain Health CenterSutter HealthSan FranciscoCaliforniaUSA
| | - Adam M. Staffaroni
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ignacio Ilan‐Gala
- Neurology, Sant Pau Memory UnitHospital de la Santa Creu i Sant PauBarcelonaSpain
| | - Jesús Garcia Castro
- Neurology, Sant Pau Memory UnitHospital de la Santa Creu i Sant PauBarcelonaSpain
| | - John Kornak
- Epidemiology & BiostatisticsUniversity of California San Francisco School of MedicineSan FranciscoCaliforniaUSA
| | | | - Rowan Saloner
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Anna M. VandeBunte
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Emily W. Paolillo
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Claire J. Cadwallader
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Coty Chen
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Malu Mandelli
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Liana Apostolova
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Irene Litvan
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Ece Bayram
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Peter S. Pressman
- Department of NeurologyUniversity of Colorado School of MedicineAuroraColoradoUSA
| | | | - Ian Mackenzie
- Pathology and Laboratory MedicineThe University of British ColumbiaVancouverBritish ColumbiaCanada
| | - Jill Goldman
- The Neurological Institute – Columbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Richard R. Darby
- Department of NeurologyVanderbilt UniversityNashvilleTennesseeUSA
| | - Brian S. Appleby
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Len Petrucelli
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Tania Gendron
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Hilary W. Heuer
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Julio C. Rojas
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Brad F. Boeve
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | | | | | - Nupur Ghoshal
- Department of NeurologyWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | | | | | - Suzee Lee
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | | | | | - Katya Rascovsky
- Department of Neurology and NeuropsychologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Alex Pantelyat
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | | | | | - Adam L Boxer
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Howard J. Rosen
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Kaitlin Casaletto
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | |
Collapse
|
6
|
Losa M, Garbarino S, Cirone A, Argenti L, Lombardo L, Calizzano F, Girtler N, Brugnolo A, Mattioli P, Bauckneht M, Raffa S, Sambuceti G, Canosa A, Caneva S, Piana M, Bozzo G, Roccatagliata L, Serafini G, Uccelli A, Gotta F, Origone P, Mandich P, Massa F, Morbelli S, Arnaldi D, Orso B, Pardini M. Clinical and metabolic profiles in behavioural frontotemporal dementia: Impact of age at onset. Cortex 2025; 185:84-95. [PMID: 39999654 DOI: 10.1016/j.cortex.2025.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 01/08/2025] [Accepted: 01/08/2025] [Indexed: 02/27/2025]
Abstract
AIM Frontotemporal dementia (FTD) is a heterogeneous neurodegenerative disorder, with considerable variability of age-at-onset. We explored clinical and metabolic differences between early- and late-onset behavioural FTD (bvFTD), assuming that they might represent different disease phenotypes. MATERIALS AND METHODS We retrospectively studied consecutive patients diagnosed with prodromal or overt bvFTD with [18F]FDG PET scan, neuropsychological assessment (NPS), and Neuropsychiatric Inventory (NPI) available at baseline. Patients were divided into three groups based on age-at-onset: early onset-bvFTD (EO-bvFTD, age<70), late onset-bvFTD (LO-bvFTD, age 70-75) and very late onset-bvFTD (vLO-bvFTD, age>75). NPS and NPI were compared between groups and in the subset of prodromal patients, to study different syndromic phenotypes. Voxel-based analysis compared brain [18F]FDG PET of EO-bvFTD, LO-bvFTD and vLO-bvFTD independently, with respect to healthy controls, to explore metabolic differences. An inter-regional metabolic covariance analysis was performed in frontal lobe subregions, to explore differences in brain connectivity. Moreover, we supported our result using a correlation-based approach on clinical and metabolic variables. RESULTS 101 bvFTD (62 prodromal bvFTD) were enrolled (EO-bvFTD: n = 36, prodromal n = 21; LO-bvFTD: n = 36, prodromal: n = 22; vLO-bvFTD: n = 29, prodromal: n = 19). Greater verbal memory deficit was evident in LO-bvFTD and vLO-bvFTD compared to EO-bvFTD (immediate recall: p = .018; p = .024; delayed recall: both p = .001, respectively), with similar results in the subset of prodromal patients. EO-bvFTD and LO-bvFTD had a higher behavioural severity than vLO-bvFTD. LO-bvFTD and vLO-bvFTD showed more widespread relative hypometabolism, with a greater involvement of posterior, subcortical and temporo-limbic regions compared with EO-bvFTD. Moreover, vLO-bvFTD showed a different pattern of intrafrontal metabolic covariance compared to EO-bvFTD and LO-bvFTD. DISCUSSION The cognitive-behavioural profile of bvFTD differs between early- and late-onset, already from the prodromal stage of the disease. Both metabolic pattern and functional connectivity vary based on age-at-onset. Understanding these differences could contribute to improve diagnostic accuracy and understanding the underling pathological heterogeneity.
Collapse
Affiliation(s)
- Mattia Losa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Sara Garbarino
- Liscomp Lab, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Alessio Cirone
- Liscomp Lab, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Lucia Argenti
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Lorenzo Lombardo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Francesco Calizzano
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Nicola Girtler
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Clinical Psychology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Andrea Brugnolo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Clinical Psychology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Pietro Mattioli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Neurophysiopathology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Matteo Bauckneht
- Department of Health Science (DISSAL), University of Genoa, Genoa Italy; Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Stefano Raffa
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Antonio Canosa
- Department of Neuroscience, ALS Centre, 'Rita Levi Montalcini', University of Turin, Turin, Italy
| | - Stefano Caneva
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Michele Piana
- Liscomp Lab, IRCCS Ospedale Policlinico San Martino, Genova, Italy; MIDA, Department of Mathematics, University of Genoa, Genoa, Italy
| | - Giulia Bozzo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Luca Roccatagliata
- Department of Health Science (DISSAL), University of Genoa, Genoa Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Antonio Uccelli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Fabio Gotta
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Genetic Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Paola Origone
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Genetic Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Paola Mandich
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Genetic Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Silvia Morbelli
- Nuclear Medicine Unit, AOU Città Della Salute e Della Scienza di Torino, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Neurophysiopathology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Beatrice Orso
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy.
| |
Collapse
|
7
|
Peck A, Dadi A, Yavarow Z, Alfano LN, Anderson D, Arkin MR, Chou TF, D'Ambrosio ES, Diaz-Manera J, Dudley JP, Elder AG, Ghoshal N, Hart CE, Hart MM, Huryn DM, Johnson AE, Jones KB, Kimonis V, Kiskinis E, Lee EB, Lloyd TE, Mapstone M, Martin A, Meyer H, Mozaffar T, Onyike CU, Pfeffer G, Pindon A, Raman M, Richard I, Rubinsztein DC, Schiava M, Schütz AK, Shen PS, Southworth DR, Staffaroni AM, Taralio-Gravovac M, Weihl CC, Yao Q, Ye Y, Peck N. 2024 VCP International Conference: Exploring multi-disciplinary approaches from basic science of valosin containing protein, an AAA+ ATPase protein, to the therapeutic advancement for VCP-associated multisystem proteinopathy. Neurobiol Dis 2025; 207:106861. [PMID: 40037468 PMCID: PMC11960434 DOI: 10.1016/j.nbd.2025.106861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2025] [Revised: 02/26/2025] [Accepted: 02/26/2025] [Indexed: 03/06/2025] Open
Abstract
Valosin-containing protein (VCP/p97) is a ubiquitously expressed AAA+ ATPase associated with numerous protein-protein interactions and critical cellular functions including protein degradation and clearance, mitochondrial homeostasis, DNA repair and replication, cell cycle regulation, endoplasmic reticulum-associated degradation, and lysosomal functions including autophagy and apoptosis. Autosomal-dominant missense mutations in the VCP gene may result in VCP-associated multisystem proteinopathy (VCP-MSP), a rare degenerative disorder linked to heterogeneous phenotypes including inclusion body myopathy (IBM) with Paget's disease of bone (PDB) and frontotemporal dementia (FTD) or IBMPFD, amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD), parkinsonism, Charcot-Marie Tooth disease (CMT), and spastic paraplegia. The complexity of VCP-MSP makes collaboration among stakeholders essential and necessitates a multi-disciplinary approach. The 2024 VCP International Conference was hosted at Caltech between February 22 and 25. Co-organized by Cure VCP Disease and Dr. Tsui-Fen Chou, the meeting aimed to center the patient as a research partner, harmonize diverse stakeholder engagement, and bridge the gap between basic and clinical neuroscience as it relates to VCP-MSP. Over 100 multi-disciplinary experts attended, ranging from basic scientists to clinicians to patient advocates. Attendees discussed genetics and clinical presentation, cellular and molecular mechanisms underlying disease, therapeutic approaches, and strategies for future VCP research. The conference included three roundtable discussions, 29 scientific presentations, 32 scientific posters, nine patient and caregiver posters, and a closing discussion forum. The following conference proceedings summarize these sessions, highlighting both the identified gaps in knowledge and the significant strides made towards understanding and treating VCP diseases.
Collapse
Affiliation(s)
- A Peck
- Cure VCP Disease, Warner Robins, GA, USA
| | - A Dadi
- Cure VCP Disease, Warner Robins, GA, USA
| | - Z Yavarow
- Cure VCP Disease, Warner Robins, GA, USA
| | - L N Alfano
- The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | | | - M R Arkin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - T F Chou
- Department of Biology, Caltech, Pasadena, CA, USA
| | - E S D'Ambrosio
- Nationwide Children's Hospital, Columbus, OH, USA; Department of Genetic and Cellular Medicine and Department of Neurology, UMass Chan Medical School, Worcester, MA, USA
| | - J Diaz-Manera
- The John Walton Muscular Dystrophy Research Centre, Newcastle University Translational and Clinical Research Institute and Newcastle Hospitals NHS Foundation Trust, Center for Life, Central Parkway, Newcastle, Upon Tyne, United Kingdom
| | - J P Dudley
- LaMontagne Center for Infectious Disease, University of Texas, Austin, TX, USA
| | - A G Elder
- Cure VCP Disease, Warner Robins, GA, USA
| | - N Ghoshal
- Departments of Neurology and Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - C E Hart
- Creyon Bio, San Diego, CA, USA; Lilly, Indianapolis, IN, USA
| | - M M Hart
- Cure VCP Disease, Warner Robins, GA, USA
| | - D M Huryn
- Department of Chemistry University of Pennsylvania, Philadelphia, PA, USA
| | - A E Johnson
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - K B Jones
- Department of Orthopaedics, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - V Kimonis
- Department of Pediatrics, University of California, Irvine, CA, USA; Department of Neurology, University of California, Irvine, CA, USA
| | - E Kiskinis
- The Ken & Ruth Davee Department of Neurology, Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - E B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - T E Lloyd
- Department of Neurology Baylor College of Medicine, Houston, TX, USA
| | - M Mapstone
- Department of Neurology, University of California, Irvine, CA, USA
| | - A Martin
- Howard Hughes Medical Institute, University of California, Berkeley, CA, USA
| | - H Meyer
- Center of Medical Biotechnology, Faculty of Biology, University of Duisburg-Essen, Essen, Germany
| | - T Mozaffar
- Department of Neurology, University of California, Irvine, CA, USA
| | - C U Onyike
- Division of Geriatric Psychiatry and Neuropsychiatry, Johns Hopkins University School of Medicine, Baltimore, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, USA
| | - G Pfeffer
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada; Department of Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - A Pindon
- Cure VCP Disease, Warner Robins, GA, USA; Myhre Syndrome Foundation, Richardson, TX, USA
| | - M Raman
- Department of Developmental Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA, USA
| | - I Richard
- Généthon, 91000 Evry, France; Université Paris-Saclay, Université Evry, Inserm, Généthon, Integrare research unit UMR_S951, 91000 Evry, France
| | - D C Rubinsztein
- Cambridge Institute for Medical Research, University of Cambridge, CB2 0XY Cambridge, UK; UK Dementia Research Institute, Cambridge Biomedical Campus, Cambridge, UK
| | - M Schiava
- The John Walton Muscular Dystrophy Research Centre, Newcastle University Translational and Clinical Research Institute and Newcastle Hospitals NHS Foundation Trust, Center for Life, Central Parkway, Newcastle, Upon Tyne, United Kingdom
| | - A K Schütz
- Department of Chemistry and Pharmacy, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - P S Shen
- Department of Biochemistry, University of Utah, Salt Lake City, UT, USA
| | - D R Southworth
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - A M Staffaroni
- UCSF Memory and Aging Center University of California San Francisco, CA, USA
| | - M Taralio-Gravovac
- Department of Biochemistry & Molecular Biology, University of Calgary, Alberta, Calgary, Canada
| | - C C Weihl
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Q Yao
- Department of Medicine Stony Brook University, Renaissance School of Medicine, Stony Brook, NY, USA
| | - Y Ye
- Laboratory of Molecular Biology, NIH, NIDDK, Bethesda, MD, USA
| | - N Peck
- Cure VCP Disease, Warner Robins, GA, USA.
| |
Collapse
|
8
|
Considine CM, Eddy CM, Frank SA, Kostyk SK, Oosterloo M, Killoran A, Furr Stimming E, Dose M, Cruickshank T, Bird TD, Vetter L, Arnesen A, Valvano J, Lange HW, Claassen DO. Improving the Clinical Diagnostic Criteria for Genetically Confirmed Adult-Onset Huntington Disease: Considering Nonmotor Presentations. Neurol Clin Pract 2025; 15:e200427. [PMID: 39830677 PMCID: PMC11741291 DOI: 10.1212/cpj.0000000000200427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 10/15/2024] [Indexed: 01/22/2025]
Abstract
Background Huntington disease (HD) is a genetic neurodegenerative disorder. Given the focus on motor manifestations, nonmotor symptoms are frequently underappreciated in clinical evaluations, despite frequently contributing to primary functional impairment. Recent Findings A diagnosis of motor-onset as the definition of manifest symptoms misrepresents the complex nature of HD presentation. Despite recent attempt to integrate nonmotor diagnostic criteria, practical guidelines are necessary to inform clinical diagnosis. We propose an HD diagnostic framework and staging system that prioritizes genetic testing, integrates motor and nonmotor symptom considerations in the determination of clinical disease onset and severity, and acknowledges the secondary role of clinically indicated diagnostic assessments, incorporating the broad symptom profiles observed in clinical practice. Implications for Practice The proposed diagnostic criteria more accurately reflect the presentation of HD and provide greater opportunities for health care professionals to provide appropriate clinical care guidelines for adults with gene-expanded HD.
Collapse
Affiliation(s)
| | - Clare M Eddy
- National Centre for Mental Health, Birmingham, United Kingdom
- College of Medical and Dental Sciences, BSMHFT and University of Birmingham, United Kingdom
| | - Samuel A Frank
- Neurology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA
| | - Sandra K Kostyk
- Neurology, Ohio State University Wexner Medical Center, Columbus
| | - Mayke Oosterloo
- Neurology, Maastricht University Medical Center, the Netherlands
| | - Annie Killoran
- Psychiatry, Carver College of Medicine at the University of Iowa, Iowa City
| | - Erin Furr Stimming
- Neurology, McGovern Medical School of The University of Texas Health Science Center at Houston, TX
| | - Matthias Dose
- Kbo-Isar-Amper-Klinikum Taufkirchen/München-Ost, Germany
| | - Travis Cruickshank
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | | | - Louise Vetter
- Huntington's Disease Society of America, New York, NY
| | | | | | - Herwig W Lange
- Zentrum für Bewegungsstörungen und Neuromodulation, Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität, Germany
| | | |
Collapse
|
9
|
Sheth U, Öijerstedt L, Heckman MG, White LJ, Heuer HW, Lario Lago A, Forsberg LK, Faber KM, Foroud TM, Rademakers R, Ramos EM, Appleby BS, Bozoki AC, Darby RR, Dickerson BC, Domoto-Reilly K, Galasko DR, Ghoshal N, Graff-Radford NR, Grant IM, Hales CM, Hsiung GYR, Huey ED, Irwin D, Kwan JY, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Onyike CU, Pascual B, Pressman PS, Roberson ED, Snyder A, Tartaglia MC, Seeley WW, Dickson DW, Rosen HJ, Boeve BF, Boxer AL, Petrucelli L, Gendron TF. Comprehensive cross-sectional and longitudinal comparisons of plasma glial fibrillary acidic protein and neurofilament light across FTD spectrum disorders. Mol Neurodegener 2025; 20:30. [PMID: 40075459 PMCID: PMC11905702 DOI: 10.1186/s13024-025-00821-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 02/28/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Therapeutic development for frontotemporal dementia (FTD) is hindered by the lack of biomarkers that inform susceptibility/risk, prognosis, and the underlying causative pathology. Blood glial fibrillary acidic protein (GFAP) has garnered attention as a FTD biomarker. However, investigations of GFAP in FTD have been hampered by symptomatic and histopathologic heterogeneity and small cohort sizes contributing to inconsistent findings. Therefore, we evaluated plasma GFAP as a FTD biomarker and compared its performance to that of neurofilament light (NfL) protein, a leading FTD biomarker. METHODS We availed ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study resources to conduct a comprehensive cross-sectional and longitudinal examination of the susceptibility/risk, prognostic, and predictive performance of GFAP and NfL in the largest series of well-characterized presymptomatic FTD mutation carriers and participants with sporadic or familial FTD syndromes. Utilizing single molecule array technology, we measured GFAP and NfL in plasma from 161 controls, 127 presymptomatic mutation carriers, 702 participants with a FTD syndrome, and 67 participants with mild behavioral and/or cognitive changes. We used multivariable linear regression and Cox proportional hazard models adjusted for co-variates to examine the biomarker utility of baseline GFAP and NfL concentrations or their rates of change. RESULTS Compared to controls, GFAP and NfL were elevated in each FTD syndrome but GFAP, unlike NfL, poorly discriminated controls from participants with mild symptoms. Similarly, both baseline GFAP and NfL were higher in presymptomatic mutation carriers who later phenoconverted, but NfL better distinguished non-converters from phenoconverters. We additionally observed that GFAP and NfL were associated with disease severity indicators and survival, but NfL far outperformed GFAP. Nevertheless, we validated findings that the GFAP/NfL ratio may discriminate frontotemporal lobar degeneration with tau versus TDP-43 pathology. CONCLUSIONS Our head-to-head comparison of plasma GFAP and NfL as biomarkers for FTD indicate that NfL consistently outmatched GFAP as a prognostic and predictive biomarker for participants with a FTD syndrome, and as a susceptibility/risk biomarker for people at genetic risk of FTD. Our findings underscore the need to include leading biomarkers in investigations evaluating new biomarkers if the field is to fully ascertain their performance and clinical value.
Collapse
Affiliation(s)
- Udit Sheth
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Linn Öijerstedt
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Michael G Heckman
- Division of Clinical Trials and Biostatistics, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Launia J White
- Division of Clinical Trials and Biostatistics, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Hilary W Heuer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 91358, USA
| | - Argentina Lario Lago
- Memory and Aging Center, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 91358, USA
| | - Leah K Forsberg
- Department of Neurology, Mayo Clinic, 200 First St, SW, Rochester, MN, 55905, USA
| | - Kelley M Faber
- Department of Medical and Molecular Genetics, The National Centralized Repository for Alzheimer's Disease and Related Dementias, 351 W. 10Th St TK-217, Indianapolis, IN, 46202, USA
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, The National Centralized Repository for Alzheimer's Disease and Related Dementias, 351 W. 10Th St TK-217, Indianapolis, IN, 46202, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium
- VIB Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Antwerp, Belgium
| | - Eliana Marisa Ramos
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Reed Neurological Research Center, 710 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Brian S Appleby
- Department of Neurology, Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Andrea C Bozoki
- Department of Neurology, University of North Carolina, 170 Manning Dr, Chapel Hill, NC, 27599, USA
| | - R Ryan Darby
- Department of Neurology, Vanderbilt University, 1161 21St Ave S, Nashville, TN, 37212, USA
| | - Bradford C Dickerson
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, 149 13th St, Boston, MA, 02129, USA
| | - Kimiko Domoto-Reilly
- Department of Neurology, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195-6465, USA
| | - Douglas R Galasko
- Department of Neurosciences, University of California, 9500 Gilman Drive, La Jolla, CA, 92037-0948, USA
| | - Nupur Ghoshal
- Departments of Neurology and Psychiatry, Washington University School of Medicine, Washington University, 660 South Euclid, St. Louis, MO, 63110, USA
| | - Neill R Graff-Radford
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Ian M Grant
- Department of Neurology, Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern Feinberg School of Medicine, 300 E. Superior, Tarry 8-715, Chicago, IL, 60610, USA
| | - Chadwick M Hales
- Center for Neurodegenerative Disease, Department of Neurology, Emory University School of Medicine and Emory, 12 Executive Park Drive, Atlanta, GA, 30329, USA
| | - Ging-Yuek Robin Hsiung
- Division of Neurology, University of British Columbia, S151-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Edward D Huey
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Boulevard, Providence, RI, 02906, USA
| | - David Irwin
- Department of Neurology and Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA, 19104, USA
| | - Justin Y Kwan
- Disorders and Stroke, National Institute of Neurological, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Irene Litvan
- Department of Neurosciences, University of California, 9452 Medical Center Drive, La Jolla, CA, 92037, USA
| | - Ian R Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Joseph C Masdeu
- Department of Neurology, Houston Methodist Neurological Institute, Weill Cornell Medicine, 6560 Fannin St, Houston, TX, 77030, USA
| | - Mario F Mendez
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Reed Neurological Research Center, 710 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Chiadi U Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA
| | - Belen Pascual
- Department of Neurology, Houston Methodist Neurological Institute, Weill Cornell Medicine, 6560 Fannin St, Houston, TX, 77030, USA
| | - Peter S Pressman
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17Th Avenue, Aurora, CO, 80045, USA
- Layton Aging and Alzheimer's Disease Research Center, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
| | - Erik D Roberson
- Department of Neurology, University of Alabama at Birmingham, 1825 University Blvd, Birmingham, AL, 35233, USA
| | - Allison Snyder
- Disorders and Stroke, National Institute of Neurological, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - M Carmela Tartaglia
- Division of Neurology, Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, 6 Queen's Park Crescent West, Third Floor, Toronto, ON, M5S 3H2, Canada
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 91358, USA
- Department of Pathology, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA, 94143, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 91358, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, 200 First St, SW, Rochester, MN, 55905, USA
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 91358, USA
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
| |
Collapse
|
10
|
Aiello EN, Curti B, De Luca G, Trombi M, Maranzano A, Poletti B, Silani V, Ticozzi N, Verde F. Prevalence and correlates of the head turning sign in mild cognitive impairment and dementia due to neurodegenerative, chronic cerebrovascular, and mixed etiologies. J Alzheimers Dis 2025; 104:563-572. [PMID: 39956974 DOI: 10.1177/13872877251318011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2025]
Abstract
BackgroundThe head turning sign (HTS) consists in the patient turning his/her head towards the accompanying person in search for support when being asked questions. Although the HTS is known to be associated with cognitive impairment, previous investigations were biased towards Alzheimer's disease (AD) or did not differentiate between diverse dementia etiologies; moreover, little is known about the specific cognitive correlates of the HTS.ObjectiveTo assess the prevalence and clinical correlates of the HTS in patients with mild cognitive impairment (MCI) and dementia of various etiologies.MethodsThe HTS was recorded during the Mini-Mental State Examination (MMSE) in 232 MCI/dementia patients with the following etiological classification: AD (N = 121); frontotemporal lobar degeneration (FTLD; N = 24); Lewy body disease (LBD; N = 11); vascular (N = 29); mixed (N = 47).ResultsThe overall prevalence of the HTS in the whole cohort was 27.6%. Albeit being descriptively higher in dementia (29.9%) versus MCI (22.7%), as well as descriptively lower in FTLD and LBD than in remaining subgroups, no significant association was detected between the HTS and either MCI/dementia status or etiology. HTS + patients were older and more frequently females, also reporting lower MMSE scores and differing from HTS- ones on Temporal and Spatial Orientation and Constructional Praxis sub-scores. An association between the HTS and lower MMSE scores was found in patients with MCI but not in those with dementia.ConclusionsIn patients with cognitive impairment due to diverse causes, the HTS might occur regardless of MCI versus dementia status and across different etiologies. MCI patients displaying the HTS might have more severe cognitive deficits.
Collapse
Affiliation(s)
- Edoardo Nicolò Aiello
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Beatrice Curti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Giulia De Luca
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Marta Trombi
- Department of Psychology, University of Milano-Bicocca, Milano, Italy
| | - Alessio Maranzano
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Barbara Poletti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Federico Verde
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| |
Collapse
|
11
|
Antonioni A, Raho EM, Granieri E, Koch G. Frontotemporal dementia. How to deal with its diagnostic complexity? Expert Rev Neurother 2025:1-35. [PMID: 39911129 DOI: 10.1080/14737175.2025.2461758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Revised: 01/27/2025] [Accepted: 01/29/2025] [Indexed: 02/07/2025]
Abstract
INTRODUCTION Frontotemporal dementia (FTD) encompasses a group of heterogeneous neurodegenerative disorders. Aside from genetic cases, its diagnosis is challenging, particularly in the early stages when symptoms are ambiguous, and structural neuroimaging does not reveal characteristic patterns. AREAS COVERED The authors performed a comprehensive literature search through MEDLINE, Scopus, and Web of Science databases to gather evidence to aid the diagnostic process for suspected FTD patients, particularly in early phases, even in sporadic cases, ranging from established to promising tools. Blood-based biomarkers might help identify very early neuropathological stages and guide further evaluations. Subsequently, neurophysiological measures reflecting functional changes in cortical excitatory/inhibitory circuits, along with functional neuroimaging assessing brain network, connectivity, metabolism, and perfusion alterations, could detect specific changes associated to FTD even decades before symptom onset. As the neuropathological process advances, cognitive-behavioral profiles and atrophy patterns emerge, distinguishing specific FTD subtypes. EXPERT OPINION Emerging disease-modifying therapies require early patient enrollment. Therefore, a diagnostic paradigm shift is needed - from relying on typical cognitive and neuroimaging profiles of advanced cases to widely applicable biomarkers, primarily fluid biomarkers, and, subsequently, neurophysiological and functional neuroimaging biomarkers where appropriate. Additionally, exploring subjective complaints and behavioral changes detected by home-based technologies might be crucial for early diagnosis.
Collapse
Affiliation(s)
- Annibale Antonioni
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, Ferrara, FE, Italy
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, FE, Italy
| | - Emanuela Maria Raho
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, FE, Italy
| | - Enrico Granieri
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, FE, Italy
| | - Giacomo Koch
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, FE, Italy
- Center for Translational Neurophysiology of Speech and Communication (CTNSC), Italian Institute of Technology (IIT), Ferrara, FE, Italy
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, Roma, RM, Italy
| |
Collapse
|
12
|
Vargas‐Gonzalez J, Dimal N, Cortez K, Heuer H, Forsberg LK, Appleby BS, Barmada S, Bozoki A, Clark D, Cobigo Y, Darby RR, Dickerson BC, Domoto‐Reilly K, Galasko DR, Geschwind DH, Ghoshal N, Graff‐Radford NR, Grant IM, Irwin D, Hsiung GR, Honig LS, Kantarci K, Léger GC, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Onyike CU, Pascual B, Pressman P, Ramos EM, Roberson ED, Rogalski E, Boeve BF, Boxer AL, Rosen HJ, Tartaglia MC. Psychotropic medication usage in sporadic versus genetic behavioral-variant frontotemporal dementia. Alzheimers Dement 2025; 21:e14448. [PMID: 39713899 PMCID: PMC11848424 DOI: 10.1002/alz.14448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 09/20/2024] [Accepted: 09/23/2024] [Indexed: 12/24/2024]
Abstract
INTRODUCTION Psychotropic medication (PM) use in behavioral-variant frontotemporal dementia (bvFTD) is higher than in other dementias. However, no information exists on whether PM use differs between sporadic and genetic bvFTD. METHODS We analyzed data from sporadic and genetic bvFTD participants with PM prescriptions in the Advancing Research and Treatment in Frontotemporal Lobar Degeneration/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects study. We estimated ordinal odds ratio (OOR) of having more PM comparing sporadic and genetic bvFTD. Finally, we explored the neuropsychiatric symptom (NPS) combinations using classification and regression trees (CART). RESULTS We included 263 with sporadic and 193 with genetic bvFTD. The OOR for sporadic bvFTD to be on PM was 1.75 (95% confidence interval: 1.21 to 2.53) for the fully adjusted model. CART revealed the most common NPS combination was apathy + personality changes in 18% of participants. DISCUSSION Participants with sporadic bvFTD were twice as likely to be on PM compared to genetic bvFTD. The reason for increased PM usage in sporadic bvFTD participants should be further investigated. HIGHLIGHTS We report on patients with behavioral variant frontotemporal dementia (bvFTD). We evaluated the psychotropic medication (PM) prescription at baseline in the cohort. Patients with sporadic bvFTD had more prescriptions for PM than genetic patients. The frequency of symptoms combination was different in sporadic and genetic bvFTD.
Collapse
Affiliation(s)
- Juan‐Camilo Vargas‐Gonzalez
- Division of NeurologyUniversity of TorontoTorontoOntarioCanada
- Memory ClinicUniversity Health NetworkTorontoOntarioCanada
| | - Nico Dimal
- Division of NeurologyUniversity of TorontoTorontoOntarioCanada
- Memory ClinicUniversity Health NetworkTorontoOntarioCanada
| | - Kasey Cortez
- Memory ClinicUniversity Health NetworkTorontoOntarioCanada
| | - Hilary Heuer
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | | | - Brian S. Appleby
- Department of NeurologyCase Western Reserve UniversityBeachwoodOhioUSA
| | | | - Andrea Bozoki
- Department of NeurologyUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | | | - Yann Cobigo
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | | | - Bradford C. Dickerson
- Department of NeurologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | | | | | - Daniel H. Geschwind
- Department of NeurologyDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Nupur Ghoshal
- Memory Diagnostic CenterDepartment of NeurologyWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | | | - Ian M. Grant
- Department of Psychiatry and Behavioral SciencesMesulam Center for Cognitive Neurology and Alzheimer's DiseaseNorthwestern Feinberg School of MedicineChicagoIllinoisUSA
| | - David Irwin
- Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Lawrence S. Honig
- Neurology Department and Taub InstituteColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | | | | | - Irene Litvan
- University of California San DiegoSan DiegoCaliforniaUSA
| | | | | | - Mario F. Mendez
- Department of NeurologyDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Chiadi U. Onyike
- Department of Psychiatry and Behavioral SciencesJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Belen Pascual
- Nantz National Alzheimer CenterHouston MethodistHoustonTexasUSA
| | | | - Eliana Marisa Ramos
- Department of NeurologyDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Erik D. Roberson
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Emily Rogalski
- Healthy Aging & Alzheimer's Research Care (HAARC) CenterDepartment of NeurologyUniversity of ChicagoChicagoIllinoisUSA
| | - Brad F. Boeve
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Adam L. Boxer
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Howie J. Rosen
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Maria Carmela Tartaglia
- Division of NeurologyUniversity of TorontoTorontoOntarioCanada
- Memory ClinicUniversity Health NetworkTorontoOntarioCanada
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
| | | |
Collapse
|
13
|
Dickerson BC, Atri A. Introduction to the DETeCD-ADRD special issue. Alzheimers Dement 2025; 21:e14483. [PMID: 39732506 PMCID: PMC11848391 DOI: 10.1002/alz.14483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 11/25/2024] [Indexed: 12/30/2024]
Abstract
HIGHLIGHT This special issue contains multiple articles related to the DETeCD-ADRD guideline.
Collapse
Affiliation(s)
- Bradford C. Dickerson
- Frontotemporal Disorders Unit and Alzheimer's Disease Research Center, Department of NeurologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Alireza Atri
- Banner Sun Health Research Institute and Banner Alzheimer's Institute, Banner HealthSun CityArizonaUSA
- Center for Brain/Mind MedicineDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| |
Collapse
|
14
|
Benatar M, Heiman-Patterson TD, Cooper-Knock J, Brickman D, Casaletto KB, Goutman SA, Vinceti M, Dratch L, Arias JJ, Swidler J, Turner MR, Shefner J, Westeneng HJ, van den Berg LH, Al-Chalabi A. Guidance for clinical management of pathogenic variant carriers at elevated genetic risk for ALS/FTD. J Neurol Neurosurg Psychiatry 2025; 96:jnnp-2024-334339. [PMID: 39572211 PMCID: PMC12015018 DOI: 10.1136/jnnp-2024-334339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 08/19/2024] [Indexed: 02/02/2025]
Abstract
There is a growing understanding of the presymptomatic stages of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) and nascent efforts aiming to prevent these devastating neurodegenerative diseases have emerged. This progress is attributable, in no small part, to the altruism of people living with pathogenic variants at elevated genetic risk for ALS/FTD via their willingness to participate in natural history studies and disease prevention trials. Increasingly, this community has also highlighted the urgent need to develop paradigms for providing appropriate clinical care for those at elevated risk for ALS and FTD. This manuscript summarises recommendations emanating from a multi-stakeholder Workshop (Malvern, Pennsylvania, 2023) that aimed to develop guidance for at-risk carriers and their treating physicians. Clinical care recommendations span genetic testing (including counselling and sociolegal implications); monitoring for the emergence of early motor, cognitive and behavioural signs of disease; and the use of Food and Drug Administration-approved small molecule drugs and gene-targeting therapies. Lifestyle recommendations focus on exercise, smoking, statin use, supplement use, caffeine intake and head trauma, as well as occupational and environmental exposures. While the evidence base to inform clinical and lifestyle recommendations is limited, this guidance document aims to appraise carriers and clinicians of the issues and best available evidence, and also to define the research agenda that could yield more evidence-informed guidelines.
Collapse
Affiliation(s)
- Michael Benatar
- Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Terry D Heiman-Patterson
- Department of Neurology, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania, USA
| | | | - Daniel Brickman
- Genetic ALS & FTD: End the Legacy, Philadelphia, Pennsylvania, USA
| | - Kaitlin B Casaletto
- Department of Neurology, UCSF Memory and Aging Center, San Francisco, California, USA
| | - Stephen A Goutman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Marco Vinceti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jalayne J Arias
- Department of Health Policy & Behavioral Sciences, Georgia State University School of Public Health, Atlanta, Georgia, USA
| | - Jean Swidler
- Genetic ALS & FTD: End the Legacy, Philadelphia, Pennsylvania, USA
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Jeremy Shefner
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Henk-Jan Westeneng
- Department of Neurology, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, London, UK
| |
Collapse
|
15
|
Bolsewig K, Willemse EAJ, Sánchez-Juan P, Rábano A, Martínez M, Doecke JD, Bellomo G, Vermunt L, Alcolea D, Halbgebauer S, In 't Veld S, Mattsson-Carlgren N, Veverova K, Fowler CJ, Boonkamp L, Koel-Simmelink M, Hussainali Z, Ruiters DN, Gaetani L, Toja A, Fortea J, Pijnenburg Y, Lemstra AW, van der Flier WM, Hort J, Otto M, Hansson O, Parnetti L, Masters CL, Lleó A, Teunissen CE, Del Campo Milán M. Increased plasma DOPA decarboxylase levels in Lewy body disorders are driven by dopaminergic treatment. Nat Commun 2025; 16:1139. [PMID: 39881147 PMCID: PMC11779843 DOI: 10.1038/s41467-025-56293-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 01/15/2025] [Indexed: 01/31/2025] Open
Abstract
DOPA Decarboxylase (DDC) has been proposed as a cerebrospinal fluid (CSF) biomarker with increased concentrations in Lewy body disorders (LBDs) and highest levels in patients receiving dopaminergic treatment. Here we evaluate plasma DDC, measured by proximity extension assay, and the effect of dopaminergic treatment in three independent LBD (with a focus on dementia with Lewy bodies (DLB) and Parkinson's disease (PD)) cohorts: an autopsy-confirmed cohort (n = 71), a large multicenter, cross-dementia cohort (n = 1498) and a longitudinal cohort with detailed treatment information (n = 66, median follow-up time[IQR] = 4[4, 4] years). Plasma DDC was not altered between different LBDs and other disease groups or controls in absence of treatment. DDC levels increased over time in PD, being significantly associated to higher dosages of dopaminergic treatment. This emphasizes the need to consider treatment effect when analyzing plasma DDC, and suggests that plasma DDC, in contrast to CSF DDC, is of limited use as a diagnostic biomarker for LBD, but could be valuable for treatment monitoring.
Collapse
Affiliation(s)
- Katharina Bolsewig
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Eline A J Willemse
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Department of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Pascual Sánchez-Juan
- Centro de Investigación Biomédica en Red en enfermedades neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Alzheimer's Centre Reina Sofia-CIEN Foundation-ISCIII, Madrid, Spain
| | - Alberto Rábano
- Alzheimer's Centre Reina Sofia-CIEN Foundation-ISCIII, Madrid, Spain
| | - Minerva Martínez
- Alzheimer's Centre Reina Sofia-CIEN Foundation-ISCIII, Madrid, Spain
| | - James D Doecke
- Australian E-Health Research Centre, CSIRO, Herston, QLD, Australia
| | - Giovanni Bellomo
- Section of Neurology, Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Daniel Alcolea
- Centro de Investigación Biomédica en Red en enfermedades neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain
| | - Steffen Halbgebauer
- Department of Neurology, University Hospital Ulm, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Sjors In 't Veld
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Lund University, Lund, Sweden
- Neurology Clinic, Skåne University Hospital, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Katerina Veverova
- Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | | | - Lynn Boonkamp
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marleen Koel-Simmelink
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Zulaiga Hussainali
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Daimy N Ruiters
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Lorenzo Gaetani
- Section of Neurology, Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Andrea Toja
- Section of Neurology, Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Juan Fortea
- Centro de Investigación Biomédica en Red en enfermedades neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain
| | - Yolande Pijnenburg
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jakub Hort
- Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Lucilla Parnetti
- Section of Neurology, Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Colin L Masters
- Florey Institute, The University of Melbourne, Melbourne, VIC, Australia
| | - Alberto Lleó
- Centro de Investigación Biomédica en Red en enfermedades neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marta Del Campo Milán
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| |
Collapse
|
16
|
Rajbanshi B, Prufer Q C Araujo I, VandeVrede L, Ljubenkov PA, Staffaroni AM, Heuer HW, Lario Lago A, Ramos EM, Petrucelli L, Gendron T, Dage JL, Seeley WW, Grinberg LT, Spina S, Bateman RJ, Rosen HJ, Boeve BF, Boxer AL, Rojas JC. Clinical and neuropathological associations of plasma Aβ 42/Aβ 40, p-tau217 and neurofilament light in sporadic frontotemporal dementia spectrum disorders. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2025; 17:e70078. [PMID: 39886325 PMCID: PMC11780117 DOI: 10.1002/dad2.70078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Accepted: 11/23/2024] [Indexed: 02/01/2025]
Abstract
INTRODUCTION Plasma amyloid beta42/amyloid beta40 (Aβ42/Aβ40) and phosphorylated tau217 (p-tau217) identify individuals with primary Alzheimer's disease (AD). They may detect AD co-pathology in the setting of other primary neurodegenerative diseases, but this has not been systematically studied. METHODS We compared the clinical, neuroimaging, and neuropathological associations of plasma Aβ42/Aβ40 (mass spectrometry), p-tau217 (electrochemiluminescence), and neurofilament light ([NfL], single molecule array [Simoa]), as markers of AD co-pathology, in a sporadic frontotemporal dementia (FTD) cohort (n = 620). RESULTS Aβ42/Aβ40 showed no clinicopathological associations. High p-tau217 was present in amnestic dementia (AmD) presumed to be due to FTD, logopenic primary progressive aphasia (lvPPA), and APOEε4 carriers, and correlated with worse baseline and longitudinal clinical scores, lower hippocampal volumes, and more severe AD co-pathology (Braak Stage). NfL was elevated in all FTD phenotypes, and correlated with clinical scores and frontotemporal brain volumes. DISCUSSION Plasma p-tau217 has clinical, neuroimaging, and neuropathological correlates in sporadic FTD and may identify FTD cases with AD co-pathology. Highlights Alzheimer's disease (AD) features could be identified with plasma phosphorylated tau217 (p-tau217) in frontotemporal lobar degeneration (FTLD).Plasma p-tau217 is a better discriminator of AD co-pathology and AD-associated features in FTLD than plasma amyloid beta42/amyloid beta40 (Aβ42/Aβ40) and neurofilament light (NfL).In FTLD, plasma p-tau217, but not Aβ42/Aβ40 or neurofilament light, has phenotypical, neurocognitive, and neuroimaging correlates suggestive of AD co-pathology.
Collapse
Affiliation(s)
- Binita Rajbanshi
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Igor Prufer Q C Araujo
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lawren VandeVrede
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Peter A. Ljubenkov
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Adam M. Staffaroni
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Hilary W. Heuer
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Argentina Lario Lago
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Eliana Marisa Ramos
- Department of Neurology, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | | | - Tania Gendron
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Jeffrey L. Dage
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - William W. Seeley
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lea T. Grinberg
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Salvatore Spina
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Randall J. Bateman
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Howard J. Rosen
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | | - Adam L. Boxer
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Julio C. Rojas
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | |
Collapse
|
17
|
Sejourne C, Barker MS, Heath MR, Gazes Y, Fremont R, Perez YG, Hearne LJ, Wassermann EM, Tierney MC, Manoochehri M, Huey ED, Grafman J. Neuropsychiatric and behavioral symptom clusters in frontotemporal dementia. J Alzheimers Dis Rep 2025; 9:25424823251324391. [PMID: 40034531 PMCID: PMC11873855 DOI: 10.1177/25424823251324391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/04/2025] [Indexed: 03/05/2025] Open
Abstract
Background Non-Alzheimer's disease dementias, including frontotemporal dementia (FTD) can be difficult to characterize due to the predominance of distinct behavioral and neuropsychiatric symptoms. Widely used measurement tools lack structure and objectivity. Objective The purpose of this study was to use systematic direct observation of neuropsychiatric and behavioral symptoms, via the Neurobehavioral Rating Scale (NBRS), to characterize clusters of behavioral and neuropsychiatric symptoms in FTD and examine how selected symptom clusters correlate with structural neuroimaging. Methods We performed a factor analysis on the NBRS data from 172 patients with FTD and examined the neural correlates of the selected symptom clusters in a subsample of 67 patients. Results Six factors accounted for 56% of total variance across NBRS item scores: Apathy/Blunting, Agitation/Disinhibition, Cognitive/Language, Planning/Insight, Anxiety/Lability, and Psychosis. Symptom clusters showed significant associations with specific regions of cortical thinning: Agitation/Disinhibition with bilateral frontal regions, and Cognition/Language with the left bank of the superior temporal sulcus and supramarginal regions. Conclusions The selected symptom clusters associated with known regions of atrophy in FTD. The NBRS is an effective observational measure that may extend characterization and understanding of FTD.
Collapse
Affiliation(s)
- Corinne Sejourne
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Department of Psychology, McGill University, Montreal, Quebec, Canada
| | - Megan S Barker
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Madison R Heath
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Yunglin Gazes
- Design, Acquisition & Neuromodulation Laboratories, The Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Rachel Fremont
- Department of Psychiatry, Icahn Mount Sinai School of Medicine, New York, NY, USA
| | - Yedili Genao Perez
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Luke J Hearne
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Eric M Wassermann
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Michael C Tierney
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Masood Manoochehri
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Edward D Huey
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Jordan Grafman
- Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Brain Injury Research Program, Shirley Ryan Ability Lab, Chicago, IL, USA
| |
Collapse
|
18
|
Asken BM, Cid REC, Crocco EA, Armstrong MJ, Levy SA, Arias F, Rosselli M, Uribe IV, Barker WW, Matusz EF, DeSimone JC, Wang WE, Fiala J, Marsiske MM, DeKosky ST, Vaillancourt DE, Duara R, Loewenstein DA, Smith GE. Informing etiological heterogeneity of mild cognitive impairment and risk for progression to dementia with plasma p-tau217. J Prev Alzheimers Dis 2025; 12:100011. [PMID: 39800468 PMCID: PMC11955927 DOI: 10.1016/j.tjpad.2024.100011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2025]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is a clinical diagnosis representing early symptom changes with preserved functional independence. There are multiple potential etiologies of MCI. While often presumed to be related to Alzheimer's disease (AD), other neurodegenerative and non-neurodegenerative causes are common. Wider availability of relatively non-invasive plasma AD biomarkers, such as p-tau217, can provide invaluable insights into MCI clinico-pathology and the associated implications for symptom etiology, prognosis (e.g., risk for progression to dementia), and treatment options. OBJECTIVES The main goal of this study was to evaluate differences between individuals with MCI with and without plasma p-tau217 biomarker evidence of AD (MCIAD+ and MCIAD-) as well as a control group of clinically normal older adults with negative AD biomarkers (CNAD-). We evaluated group differences in demographics, recruitment, clinical scales, fluid biomarkers, and brain imaging. We further probed these factors as independent contributors to symptoms among MCIAD- participants, for whom symptom etiology is most poorly understood. Lastly, in a subset of participants followed longitudinally, we investigated how these factors related to odds of clinical progression to dementia. DESIGN We conducted an observational cross-sectional and longitudinal clinical research study. Study groups were compared cross-sectionally on demographics, recruitment, clinical measures, and biomarkers (chi square analyses, analyses of covariance). Contributors to functional changes were evaluated with multiple linear regression. Factors associated with the odds of progression from MCI to dementia longitudinally were evaluated with binary logistic regression. SETTING 1Florida Alzheimer's Disease Research Center. PARTICIPANTS Cross-sectional analyses included 378 older adults classified as CNAD- (N = 76, age 66.1 ± 7.2, 63.2% female, 23.7% non-Hispanic/White), MCIAD- (N = 198, age 68.9 ± 7.9, 51.5% female, 29.3% non-Hispanic/White), or MCIAD+ (N = 104, age 73.9 ± 7.4, 52.9% female, 49.0% non-Hispanic/White). Longitudinal analyses focused on 207 participants with MCI (68.5% of cross-sectional MCI sample) followed for an average of 3 years. MEASUREMENTS Demographics (age, sex, years of education, self-identified race and ethnicity, primary spoken language), National Alzheimer's Coordinating Center-defined clinical phenotypes (Clinically Normal, Impaired - Not MCI, Amnestic MCI, Nonamnestic MCI, Dementia), recruitment source (clinic-based versus community-based), genetics (APOE genotype), functional evaluation (Clinical Dementia Rating scale), global cognition (Mini Mental State Exam), vascular history (Vascular Burden Score), neuropsychiatric symptoms (NPI-Q Total score), plasma biomarkers (ALZPath p-tau217, Quanterix Simoa-based GFAP and NfL), and brain imaging (grey matter volume in select AD-relevant regions of interest, global white matter hyperintensity volume). RESULTS Among those with MCI, 104 (34.4%) had plasma biomarker evidence of AD. MCIAD+ participants were more frequently recruited from clinic-based settings than MCIAD- (74.8% vs. 47.5%, p<.001). Over half (51.5%) of MCIAD+ carried at least one APOE e4 allele compared to 26.6% of MCIAD- and 29.4% of CNAD- (p<.001). Both MCIAD+ (p<.001, Cohen's d = 0.93) and MCIAD- (p<.001, d = 0.75) reported more severe neuropsychiatric symptoms than CNAD. MCIAD+ had higher plasma GFAP and NfL than both MCIAD- (GFAP: p<.001, d = 0.88, NfL: p<.001, d = 0.86) and CNAD- (GFAP: p<.001, d = 0.80; NfL: p<.001, d = 0.89). For the AD signature region of interest, MCIAD+ had lower volume than both CNAD- (p<.001, d = 0.78) and MCIAD- (p=.018, d = 0.39). For the hippocampus, both MCIAD+ (p<.001, d = 0.87) and MCIAD- (p<.001, d = 0.64) had lower volume than CNAD-. Longitudinally, older age (OR=1.14 [1.06-1.22], p<.001), higher levels of p-tau217 (OR=10.37 [3.00-35.02], p<.001) and higher neuropsychiatric symptoms (OR=1.19 [1.02-1.39], p=.023) were associated with higher odds of progression to dementia. CONCLUSIONS MCI is etiologically heterogeneous. The presence of Alzheimer's pathology defined by elevated plasma p-tau217 in individuals with MCI significantly worsens prognosis. Neuropsychiatric symptoms may contribute to cognitive complaints and risk for progressive decline irrespective of AD pathology. Plasma p-tau217 can inform our understanding of base rates of different MCI phenotypes on a larger scale. As with other AD biomarkers, frequency of elevated plasma p-tau217 and odds of progression to dementia requires careful consideration of recruitment source (clinic- vs. community-based), especially across ethno-racially diverse older adults. Ongoing integration of emerging neurodegenerative disease biomarkers with detailed clinical evaluations will continue to improve treatment specificity and prognosis.
Collapse
Affiliation(s)
- Breton M Asken
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
| | - Rosie E Curiel Cid
- 1Florida Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Department of Psychiatry, University of Miami, Miami, FL, USA
| | - Elizabeth A Crocco
- 1Florida Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Department of Psychiatry, University of Miami, Miami, FL, USA
| | - Melissa J Armstrong
- 1Florida Alzheimer's Disease Research Center, Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Shellie-Anne Levy
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Franchesca Arias
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Monica Rosselli
- 1Florida Alzheimer's Disease Research Center, Department of Psychology, Florida Atlantic University, Boca Raton, FL, USA
| | - Idaly Velez Uribe
- 1Florida Alzheimer's Disease Research Center, Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Warren W Barker
- 1Florida Alzheimer's Disease Research Center, Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Emily F Matusz
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Jesse C DeSimone
- 1Florida Alzheimer's Disease Research Center, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Wei-En Wang
- 1Florida Alzheimer's Disease Research Center, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Jacob Fiala
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Michael M Marsiske
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Steven T DeKosky
- 1Florida Alzheimer's Disease Research Center, Department of Neurology, University of Florida, Gainesville, FL, USA
| | - David E Vaillancourt
- 1Florida Alzheimer's Disease Research Center, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- 1Florida Alzheimer's Disease Research Center, Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - David A Loewenstein
- 1Florida Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Department of Psychiatry, University of Miami, Miami, FL, USA
| | - Glenn E Smith
- 1Florida Alzheimer's Disease Research Center, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| |
Collapse
|
19
|
Yin P, Su Z, Shu X, Dong Z, Tian Y. Role of TREM2 in immune and neurological diseases: Structure, function, and implications. Int Immunopharmacol 2024; 143:113286. [PMID: 39378652 DOI: 10.1016/j.intimp.2024.113286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 08/30/2024] [Accepted: 09/01/2024] [Indexed: 10/10/2024]
Abstract
Triggering Receptor Expressed on Myeloid Cells 2 (TREM2), a transmembrane receptor initially linked to neurodegenerative diseases, has recently emerged as a key player in conditions such as obesity and cancer. This review explores the structure, function, and mechanisms of TREM2 across these diverse pathological contexts, with a particular focus on its critical roles in immune regulation and neuroprotection. TREM2 primarily modulates cellular activity by binding extracellular ligands, thereby activating downstream signaling pathways and exerting immunomodulatory effects. Additionally, the therapeutic potential of targeting TREM2 is discussed, emphasizing its promise as a future treatment strategy for various diseases.
Collapse
Affiliation(s)
- Peng Yin
- International Genome Center, Jiangsu University, Zhenjiang 212013, China
| | - Zhaoliang Su
- International Genome Center, Jiangsu University, Zhenjiang 212013, China; School of Life Sciences, Jiangsu University, Zhenjiang 212013, China
| | - Xiaozheng Shu
- BioRegen Biomedical (Changzhou, Jiangsu) Co., Ltd, Changzhou, Jiangsu 213125, China
| | - Zhifeng Dong
- Department of Cardiovascular Medicine, Yancheng Third People's Hospital, 224000, China.
| | - Yu Tian
- International Genome Center, Jiangsu University, Zhenjiang 212013, China; School of Life Sciences, Jiangsu University, Zhenjiang 212013, China.
| |
Collapse
|
20
|
Bampton A, McHutchison C, Talbot K, Benatar M, Thompson AG, Turner MR. The Basis of Cognitive and Behavioral Dysfunction in Amyotrophic Lateral Sclerosis. Brain Behav 2024; 14:e70115. [PMID: 39501538 PMCID: PMC11538089 DOI: 10.1002/brb3.70115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 09/29/2024] [Accepted: 10/05/2024] [Indexed: 11/09/2024] Open
Abstract
OBJECTIVE To summarize and evaluate evidence pertaining to the clinical, genetic, histopathological, and neuroimaging correlates of cognitive and behavioral dysfunction in amyotrophic lateral sclerosis (ALS). METHODOLOGY We comprehensively reviewed the literature on cognitive and behavioral manifestations of ALS, narrating findings from both cross-sectional and longitudinal studies. We discussed knowledge gaps in the evidence base and key limitations affecting studies to date, before formulating a framework for future research paradigms aimed at investigating clinicopathological correlates of neuropsychological dysfunction in ALS. RESULTS Studies have demonstrated clinical associations with cognitive dysfunction in ALS e.g., bulbar-onset of symptoms, pathological associations (extramotor TDP-43 deposition), and imaging associations (frontotemporal involvement). The most common behavioral deficit, apathy, is highly associated with verbal fluency, but longitudinal studies assessing behavioral dysfunction in ALS are comparatively lacking. CONCLUSION Longitudinal studies have been helpful in identifying several potential correlates of cognitive and behavioral dysfunction but have frequently been confounded by selection bias and inappropriate testing platforms. This review provides a framework for more robust assessment of clinicopathological associations of neuropsychological abnormalities in ALS in the future, advocating for greater utilization of pre-symptomatic C9orf72 repeat expansion-carrying cohorts.
Collapse
Affiliation(s)
- Alexander Bampton
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | | | - Kevin Talbot
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Michael Benatar
- Department of NeurologyUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | | | - Martin R. Turner
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| |
Collapse
|
21
|
Zamboni G, Mattioli I, Arya Z, Tondelli M, Vinceti G, Chiari A, Jenkinson M, Huey ED, Grafman J. Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia. Brain Imaging Behav 2024; 18:1226-1238. [PMID: 39243355 PMCID: PMC11582133 DOI: 10.1007/s11682-024-00913-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2024] [Indexed: 09/09/2024]
Abstract
Studies exploring the brain correlates of behavioral symptoms in the frontotemporal dementia spectrum (FTD) have mainly searched for linear correlations with single modality neuroimaging data, either structural magnetic resonance imaging (MRI) or fluoro-deoxy-D-glucose positron emission tomography (FDG-PET). We aimed at studying the two imaging modalities in combination to identify nonlinear co-occurring patterns of atrophy and hypometabolism related to behavioral symptoms. We analyzed data from 93 FTD patients who underwent T1-weighted MRI, FDG-PET imaging, and neuropsychological assessment including the Neuropsychiatric Inventory, Frontal Systems Behavior Scale, and Neurobehavioral Rating Scale. We used a data-driven approach to identify the principal components underlying behavioral variability, then related the identified components to brain variability using a newly developed method fusing maps of grey matter volume and FDG metabolism. A component representing apathy, executive dysfunction, and emotional withdrawal was associated with atrophy in bilateral anterior insula and putamen, and with hypometabolism in the right prefrontal cortex. Another component representing the disinhibition versus depression/mutism continuum was associated with atrophy in the right striatum and ventromedial prefrontal cortex for disinhibition, and hypometabolism in the left fronto-opercular region and sensorimotor cortices for depression/mutism. A component representing psychosis was associated with hypometabolism in the prefrontal cortex and hypermetabolism in auditory and visual cortices. Behavioral symptoms in FTD are associated with atrophy and altered metabolism of specific brain regions, especially located in the frontal lobes, in a hierarchical way: apathy and disinhibition are mostly associated with grey matter atrophy, whereas psychotic symptoms are mostly associated with hyper-/hypo-metabolism.
Collapse
Affiliation(s)
- Giovanna Zamboni
- Università di Modena e Reggio Emilia, Modena, Italy.
- Azienda Ospedaliero Universitaria di Modena, Modena, Italy.
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, Modena, 41126, Italy.
| | | | - Zobair Arya
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Giulia Vinceti
- Università di Modena e Reggio Emilia, Modena, Italy
- Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | | | - Mark Jenkinson
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Edward D Huey
- Departments of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, USA
| | - Jordan Grafman
- Shirley Ryan AbilityLab & Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| |
Collapse
|
22
|
Webber TA, Woods SP, Lorkiewicz SA, Yazbeck HW, Schultz ER, Kiselica AM. Cognitive dispersion and its functional relevance in behavioral variant frontotemporal dementia and prodromal behavioral variant frontotemporal dementia. Neuropsychology 2024; 38:637-652. [PMID: 39207439 PMCID: PMC11449635 DOI: 10.1037/neu0000969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
Abstract
OBJECTIVE Executive dysfunction is characteristic of behavioral variant frontotemporal dementia (bvFTD) but can be challenging to detect. Dispersion-based intraindividual variability (IIV-d) is hypothesized to reflect a sensitive index of executive dysfunction and has demonstrated relevance to functional decline but has not been evaluated in bvFTD. METHOD We report on 477 demographically matched participants (159 cognitively healthy [CH], 159 clinical Alzheimer's disease [AD], 159 clinical bvFTD/prodromal bvFTD) who completed the Uniform Data Set 3.0 Neuropsychological Battery. IIV-d was measured using the coefficient of variance (CoV; raw and demographically adjusted) across 12 Uniform Data Set 3.0 Neuropsychological Battery indicators and the informant-rated Functional Activities Questionnaire assessed daily functioning. RESULTS Analysis of covariance showed that participants in the bvFTD/prodromal bvFTD group exhibited higher raw and demographically adjusted CoV compared to CH participants, at a very large effect size (d = 1.28-1.47). Demographically adjusted (but not raw) CoV was lower in the bvFTD/prodromal bvFTD group than the AD group, though the effect size was small (d = .38). Both CoV metrics accurately differentiated the bvFTD/prodromal bvFTD and CH groups (areas under the curve = .84), but not bvFTD/prodromal bvFTD and AD groups (areas under the curve = .59). Regression analyses in the bvFTD/prodromal bvFTD group indicated that higher IIV-d on both metrics was associated with greater daily functioning impairment, over and above covariates. CONCLUSIONS Compared to healthy adults, individuals with bvFTD/prodromal bvFTD show greater levels of performance variability across a battery of neuropsychological measures, which interferes with everyday functioning. These data demonstrate the clinical utility and ecological validity of IIV-d in bvFTD/prodromal bvFTD, though these findings should be replicated in more diverse samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Collapse
Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine
- Department of Psychology, University of Houston
| | | | - Sara A. Lorkiewicz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
| | - Holley W. Yazbeck
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
| | - Elaine R. Schultz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
| | | |
Collapse
|
23
|
Xiao D, Li J, Ren Z, Dai M, Jiang Y, Qiu T, Zhang H, Chen Y, Zhang Y, Zhang Y, Palaniyappan L. Association of cortical morphology, white matter hyperintensity, and glymphatic function in frontotemporal dementia variants. Alzheimers Dement 2024; 20:6045-6059. [PMID: 39129270 PMCID: PMC11497707 DOI: 10.1002/alz.14158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/13/2024] [Accepted: 05/25/2024] [Indexed: 08/13/2024]
Abstract
INTRODUCTION Frontotemporal dementia (FTD) can be phenotypically divided into behavioral variant FTD (bvFTD), nonfluent variant primary progressive aphasia (nfvPPA), and semantic variant PPA (svPPA). However, the neural underpinnings of this phenotypic heterogeneity remain elusive. METHODS Cortical morphology, white matter hyperintensities (WMH), diffusion tensor image analysis along the perivascular space (DTI-ALPS), and their interrelationships were assessed in subtypes of FTD. Neuroimaging-transcriptional analyses on the regional cortical morphological deviances among subtypes were also performed. RESULTS Changes in cortical thickness, surface area, gyrification, WMH, and DTI-ALPS were subtype-specific in FTD. The three morphologic indices are related to whole-brain WMH volume and cognitive performance, while cortical thickness is related to DTI-ALPS. Neuroimaging-transcriptional analyses identified key biological pathways linked to the formation and/or spread of TDP-43/tau pathologies. DISCUSSION We found subtype-specific changes in cortical morphology, WMH, and glymphatic function in FTD. Our findings have the potential to contribute to the development of personalized predictions and treatment strategies for this disorder. HIGHLIGHTS Cortical morphologic changes, white matter hyperintensities (WMH), and glymphatic dysfunction are subtype-specific. Cortical morphologic changes, WMH, and glymphatic dysfunction are inter-correlated. Cortical morphologic changes and WMH burden contribute to cognitive impairments.
Collapse
Affiliation(s)
- Die Xiao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Jianyu Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Zhanbing Ren
- College of Physical Education, Shenzhen UniversityShenzhenP. R. China
| | - Minghui Dai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Yihan Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Ting Qiu
- Douglas Mental Health University InstituteMcGill UniversityMontrealCanada
| | - Huixiong Zhang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Yifan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Youming Zhang
- Department of RadiologyXiangya HospitalCentral South UniversityChangshaP. R. China
- National Clinical Research Center for Geriatric DiseasesXiangya HospitalCentral South UniversityChangshaHunanP. R. China
| | - Yuanchao Zhang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of ChinaChengduP. R. China
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduP. R. China
| | - Lena Palaniyappan
- Douglas Mental Health University InstituteMcGill UniversityMontrealCanada
| | | |
Collapse
|
24
|
Macchitella L, Tosi G, Giaquinto F, Iaia M, Rizzi E, Chiarello Y, Bertoux M, Angelelli P, Romano DL. Genuine Memory Deficits as Assessed by the Free and Cued Selective Reminding Test (FCSRT) in the Behavioural Variant of Frontotemporal Dementia. A Systematic Review and Meta-analysis Study. Neuropsychol Rev 2024; 34:823-837. [PMID: 37736861 PMCID: PMC11473568 DOI: 10.1007/s11065-023-09613-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/07/2023] [Indexed: 09/23/2023]
Abstract
The current diagnostic criteria for the behavioural variant of frontotemporal dementia (bvFTD) foresee a relative sparing of long-term memory. Although bvFTD patients were thought to report secondary memory deficits associated with prefrontal dysfunctions, some studies indicated the presence of a "genuine memory deficit" related to mesial temporal lobe dysfunctions. Among various neuropsychological tests, the Free and Cue Selective Reminding Test (FCSRT) has been recommended to distinguish genuine from apparent amnesia. We conducted a systematic review and a random effect Bayesian meta-analysis to evaluate the nature and severity of memory deficit in bvFTD. Our objective was to determine whether the existing literature offers evidence of genuine or apparent amnesia in patients with bvFTD, as assessed via the FCSRT. On 06/19/2021, we conducted a search across four databases (PMC, Scopus, Web of Science, and PubMed). We included all studies that evaluated memory performance using the FCSRT in patients with bvFTD, as long as they also included either cognitively unimpaired participants or AD groups. We tested publication bias through the Funnel plot and Egger's test. To assess the quality of studies, we used the Newcastle-Ottawa quality assessment scale adapted for cross-sectional studies. We included 16 studies in the meta-analysis. The results showed that bvFTD patients perform better than AD patients (pooled effects between 0.95 and 1.14), as their memory performance stands between AD and control groups (pooled effects between - 2.19 and - 1.25). Moreover, patients with bvFTD present both genuine and secondary memory disorders. As a major limitation of this study, due to our adoption of a rigorous methodology and stringent inclusion criteria, we ended up with just 16 studies. Nonetheless, our robust findings can contribute to the ongoing discussion on international consensus criteria for bvFTD and the selection of appropriate neuropsychological tools to facilitate the differential diagnosis between AD and bvFTD.
Collapse
Affiliation(s)
- Luigi Macchitella
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
- Scientific Institute I.R.C.C.S. "E. Medea", Unit for Severe Disabilities in Developmental Age and Young Adults (Developmental Neurology and Neurorehabilitation), Piazza Di Summa, 72100, Brindisi, Italy
| | - Giorgia Tosi
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy.
- Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo 1, 20126, Milan, Italy.
| | - Francesco Giaquinto
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
| | - Marika Iaia
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
| | - Ezia Rizzi
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
| | - Ylenia Chiarello
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
| | - Maxime Bertoux
- Univ. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, LiCEND, DISTALZ, 42 rue Paul Duez, 59000, Lille, France
| | - Paola Angelelli
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
| | - Daniele Luigi Romano
- Department of Human and Social Sciences, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy
- Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo 1, 20126, Milan, Italy
| |
Collapse
|
25
|
Asken BM, Bove JM, Bauer RM, Tanner JA, Casaletto KB, Staffaroni AM, VandeVrede L, Alosco ML, Mez JB, Stern RA, Miller BL, Grinberg LT, Boxer AL, Gorno-Tempini ML, Rosen HJ, Rabinovici GD, Kramer JH. Clinical implications of head trauma in frontotemporal dementia and primary progressive aphasia. Alzheimers Res Ther 2024; 16:193. [PMID: 39210451 PMCID: PMC11363650 DOI: 10.1186/s13195-024-01553-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 08/11/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Traumatic brain injury (TBI) and repetitive head impacts (RHI) have been linked to increased risk for multiple types of neurodegenerative disease, higher dementia risk, and earlier age of dementia symptom onset, suggesting transdiagnostic implications for later-life brain health. Frontotemporal dementia (FTD) and primary progressive aphasia (PPA) represent a spectrum of clinical phenotypes that are neuropathologically diverse. FTD/PPA diagnoses bring unique challenges due to complex cognitive and behavioral symptoms that disproportionately present as an early-onset dementia (before age 65). We performed a detailed characterization of lifetime head trauma exposure in individuals with FTD and PPA compared to healthy controls to examine frequency of lifetime TBI and RHI and associated clinical implications. METHODS We studied 132 FTD/PPA (age 68.9 ± 8.1, 65% male) and 132 sex-matched healthy controls (HC; age 73.4 ± 7.6). We compared rates of prior TBI and RHI (contact/collision sports) between FTD/PPA and HC (chi-square, logistic regression, analysis of variance). Within FTD/PPA, we evaluated associations with age of symptom onset (analysis of variance). Within behavioral variant FTD, we evaluated associations with cognitive function and neuropsychiatric symptoms (linear regression controlling for age, sex, and years of education). RESULTS Years of participation were greater in FTD/PPA than HC for any contact/collision sport (8.5 ± 6.7yrs vs. 5.3 ± 4.5yrs, p = .008) and for American football (6.2yrs ± 4.3yrs vs. 3.1 ± 2.4yrs; p = .003). Within FTD/PPA, there were dose-dependent associations with earlier age of symptom onset for TBI (0 TBI: 62.1 ± 8.1, 1 TBI: 59.9 ± 6.9, 2 + TBI: 57.3 ± 8.4; p = .03) and years of American football (0yrs: 62.2 ± 8.7, 1-4yrs: 59.7 ± 7.0, 5 + yrs: 55.9 ± 6.3; p = .009). Within bvFTD, those who played American football had worse memory (z-score: -2.4 ± 1.2 vs. -1.4 ± 1.6, p = .02, d = 1.1). CONCLUSIONS Lifetime head trauma may represent a preventable environmental risk factor for FTD/PPA. Dose-dependent exposure to TBI or RHI influences FTD/PPA symptom onset and memory function in bvFTD. Clinico-pathological studies are needed to better understand the neuropathological correlates linking RHI or TBI to FTD/PPA onset and symptoms.
Collapse
Affiliation(s)
- Breton M Asken
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, PO Box 100165, Gainesville, FL, 32610, USA.
| | - Jessica M Bove
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, PO Box 100165, Gainesville, FL, 32610, USA
| | - Russell M Bauer
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, PO Box 100165, Gainesville, FL, 32610, USA
| | - Jeremy A Tanner
- Department of Neurology, Biggs Institute for Alzheimer's and Neurodegenerative Diseases South Texas Alzheimer's Disease Research Center, University of Texas Health - San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Kaitlin B Casaletto
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Adam M Staffaroni
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Lawren VandeVrede
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Michael L Alosco
- Department of Neurology, Boston University, Boston University Alzheimer's Disease Research Center and CTE Center, 73 E. Concord Street, Boston, MA, 02118, USA
| | - Jesse B Mez
- Department of Neurology, Boston University, Boston University Alzheimer's Disease Research Center and CTE Center, 73 E. Concord Street, Boston, MA, 02118, USA
| | - Robert A Stern
- Department of Neurology, Boston University, Boston University Alzheimer's Disease Research Center and CTE Center, 73 E. Concord Street, Boston, MA, 02118, USA
| | - Bruce L Miller
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Lea T Grinberg
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Adam L Boxer
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Howie J Rosen
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Gil D Rabinovici
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Joel H Kramer
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| |
Collapse
|
26
|
Chen X, Chen Y, Ni B, Huang C. Research trends and hotspots for frontotemporal dementia from 2000 to 2022: a bibliometric analysis. Front Neurol 2024; 15:1399600. [PMID: 39087008 PMCID: PMC11288951 DOI: 10.3389/fneur.2024.1399600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/26/2024] [Indexed: 08/02/2024] Open
Abstract
Background Frontotemporal dementia (FTD) is a neurodegenerative disease with clinical, pathological, and genetic heterogeneity. FTD is receiving increasing attention because it is the second leading cause of early-onset dementia after Alzheimer's disease. This study aimed to analyse the research trends and hotspots of FTD from 2000 to 2022 using bibliometrics. Methods Papers related to FTD from 2000 to 2020 were systematically searched through the Web of Science Core Collection (WOSCC). Citespace and Vosviewer software were used to visually analyse the retrieved data of countries/regions, institutions, journals, authors, references, and keywords. Microsoft Excel was used to generate the annual publications and growth trends. Results There were 10,227 papers included in the bibliometric analysis. The annual publication output on FTD has increased significantly from 2000 to 2022, with papers published in 934 academic journals and 87 countries/regions. The Journal of Alzheimer's Disease was the most popular, with 488 papers about FTD. The most productive countries/regions, institutions, and authors are the United States (n = 4,037), the University of California San Francisco (n = 687), and Miller, Bruce L. (n = 427), respectively. The article by Katya Rascovsky and her colleagues published on Brain in 2011 was the most cocited paper, with 625 citations. The research hotspots in this field were the clinical diagnostic criteria, subdivision, and pathological mechanism of FTD, such as tau protein, chromosome 17, progranulin, TDP-43, and C9orf72. Conclusion The future research direction is based on biomarkers and pathological mechanisms to diagnose and differential diagnose FTD from the aspects of behavior, neuropathology, neuroimaging, and serum markers.
Collapse
Affiliation(s)
- Xinxin Chen
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yin Chen
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Biyu Ni
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Cheng Huang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
27
|
de Boer L, van den Berg E, Poos JM, Klop W, Giannini LAA, De Houwer JFH, Seelaar H, Jiskoot LC. Impairments in knowledge of social norms in presymptomatic, prodromal, and symptomatic frontotemporal dementia. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12630. [PMID: 39229325 PMCID: PMC11369490 DOI: 10.1002/dad2.12630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/06/2024] [Accepted: 07/08/2024] [Indexed: 09/05/2024]
Abstract
INTRODUCTION We aimed to assess the knowledge of social norms in patients with behavioral variant frontotemporal dementia (bvFTD) with the Dutch version of the Social Norms Questionnaire (SNQ-NL). METHODS The SNQ-NL was administered in 34 patients with bvFTD, 20 prodromal mutation carriers, 76 presymptomatic mutation carriers, and 56 controls. Group differences and correlations with other neuropsychological tests and gray matter volume were examined. RESULTS Patients with bvFTD had lower total SNQ-NL scores and more over-adherence errors than presymptomatic mutation carriers and controls (P < 0.001). SNQ-NL performance correlated with tests for executive functioning and social cognition, and with gray matter volume in bilateral frontal and unilateral temporal regions. DISCUSSION The SNQ-NL can identify impairments in knowledge of social norms in bvFTD, highlighting its significance in clinical diagnosis and upcoming clinical trials. The SNQ-NL currently fails to differentiate presymptomatic mutation carriers from controls; to this end, larger sample sizes from larger cohorts and longitudinal follow-up are warranted. Highlights The Dutch version of the Social Norms Questionnaire (SNQ-NL) is able to detect impairment in social cognition in symptomatic bvFTD patients.A trend towards a lower performance in prodromal mutation carriers was found.Performance on the SNQ-NL is related to other measures of social cognition, executive functioning, and language.Lower SNQ-NL performance is related to gray matter volume loss in bilateral frontal and temporal regions.The SNQ-NL provides insight into the underlying cause of deficits in social cognition in bvFTD.
Collapse
Affiliation(s)
- Liset de Boer
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Esther van den Berg
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Jackie M. Poos
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Willeke Klop
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Lucia A. A. Giannini
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Julie F. H. De Houwer
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Harro Seelaar
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Lize C. Jiskoot
- Department of Neurology and Alzheimer CenterErasmus MC University Medical CenterRotterdamthe Netherlands
- Dementia Research CenterUniversity College LondonLondonUK
| |
Collapse
|
28
|
Abbate C, Gallucci A, Trimarchi PD, Piacquadio E, Caramanti G, Parma A, Fumagalli GG, Inglese S, Parisi PMR, Tartarone F, Giunco F. Clinical Heterogeneity in Alzheimer's Disease: A Possible New Amnesic Phenotype. J Alzheimers Dis Rep 2024; 8:959-969. [PMID: 39114546 PMCID: PMC11305845 DOI: 10.3233/adr-230196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 05/17/2024] [Indexed: 08/10/2024] Open
Abstract
We rediscovered a phenotype of AD known in the early 1900s as presbyophrenia, but then forgotten, and renamed as confabulation-misidentification phenotype. The phenotype includes diencephalic amnesia whose prototype is Korsakoff syndrome. The main features are anterograde and retrograde amnesia with marked disorientation and confabulation, executive impairments, reduced insight and attention deficits, misidentification, minor hallucination and other delusions, behavioral disturbances, and early anxiety. In this article, we summarize what we have discovered about the new phenotype and what is still missing to confirm this diencephalic variant of AD.
Collapse
Affiliation(s)
- Carlo Abbate
- Fondazione IRCCS Don Carlo Gnocchi, Milan, Italy
| | | | | | | | | | - Anna Parma
- Fondazione IRCCS Don Carlo Gnocchi, Milan, Italy
| | | | - Silvia Inglese
- Geriatric Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | | | | |
Collapse
|
29
|
Buccellato FR, D'Anca M, Tartaglia GM, Del Fabbro M, Galimberti D. Frontotemporal dementia: from genetics to therapeutic approaches. Expert Opin Investig Drugs 2024; 33:561-573. [PMID: 38687620 DOI: 10.1080/13543784.2024.2349286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 04/25/2024] [Indexed: 05/02/2024]
Abstract
INTRODUCTION Frontotemporal dementia (FTD) includes a group of neurodegenerative diseases characterized clinically by behavioral disturbances and by neurodegeneration of brain anterior temporal and frontal lobes, leading to atrophy. Apart from symptomatic treatments, there is, at present, no disease-modifying cure for FTD. AREAS COVERED Three main mutations are known as causes of familial FTD, and large consortia have studied carriers of mutations, also in preclinical Phases. As genetic cases are the only ones in which the pathology can be predicted in life, compounds developed so far are directed toward specific proteins or mutations. Herein, recently approved clinical trials will be summarized, including molecules, mechanisms of action and pharmacological testing. EXPERT OPINION These studies are paving the way for the future. They will clarify whether single mutations should be addressed rather than common proteins depositing in the brain to move from genetic to sporadic FTD.
Collapse
Affiliation(s)
- Francesca R Buccellato
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Marianna D'Anca
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Gianluca Martino Tartaglia
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Massimo Del Fabbro
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| |
Collapse
|
30
|
Cummings J, Lanctot K, Grossberg G, Ballard C. Progress in Pharmacologic Management of Neuropsychiatric Syndromes in Neurodegenerative Disorders: A Review. JAMA Neurol 2024; 81:645-653. [PMID: 38558015 PMCID: PMC11164642 DOI: 10.1001/jamaneurol.2024.0586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Importance Neuropsychiatric syndromes (NPSs) are common in neurodegenerative disorders (NDDs); compromise the quality of life of patients and their care partners; and are associated with faster disease progression, earlier need for nursing home care, and poorer quality of life. Advances in translational pharmacology, clinical trial design and conduct, and understanding of the pathobiology of NDDs are bringing new therapies to clinical care. Observations Consensus definitions have evolved for psychosis, agitation, apathy, depression, and disinhibition in NDDs. Psychosocial interventions may reduce mild behavioral symptoms in patients with NDD, and pharmacotherapy is available for NPSs in NDDs. Brexpiprazole is approved for treatment of agitation associated with Alzheimer disease dementia, and pimavanserin is approved for treatment of delusions and hallucinations associated with psychosis of Parkinson disease. Trials are being conducted across several of the NDDs, and a variety of mechanisms of action are being assessed for their effect on NPSs. Conclusions and Relevance Detection and characterization of NPSs in patients with NDDs is the foundation for excellent care. New definitions for NPSs in NDDs may inform choices regarding clinical trial populations and translate into clinical practice. Psychosocial and pharmacologic therapies may reduce behavioral symptoms and improve quality of life for patients and caregivers. Approved agents may establish regulatory precedents, demonstrate successful trial strategies, and provide the foundation for further advances in treatment development.
Collapse
Affiliation(s)
- Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas
| | - Krista Lanctot
- Departments of Psychiatry and Pharmacology, University of Toronto, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - George Grossberg
- Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, St Louis, Missouri
| | - Clive Ballard
- Exeter University Medical School, University of Exeter, Exeter, United Kingdom
| |
Collapse
|
31
|
Benatar M, Wuu J, Huey ED, McMillan CT, Petersen RC, Postuma R, McHutchison C, Dratch L, Arias JJ, Crawley A, Houlden H, McDermott MP, Cai X, Thakur N, Boxer A, Rosen H, Boeve BF, Dacks P, Cosentino S, Abrahams S, Shneider N, Lingor P, Shefner J, Andersen PM, Al-Chalabi A, Turner MR. The Miami Framework for ALS and related neurodegenerative disorders: an integrated view of phenotype and biology. Nat Rev Neurol 2024; 20:364-376. [PMID: 38769202 PMCID: PMC11216694 DOI: 10.1038/s41582-024-00961-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2024] [Indexed: 05/22/2024]
Abstract
Increasing appreciation of the phenotypic and biological overlap between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, alongside evolving biomarker evidence for a pre-symptomatic stage of disease and observations that this stage of disease might not always be clinically silent, is challenging traditional views of these disorders. These advances have highlighted the need to adapt ingrained notions of these clinical syndromes to include both the full phenotypic continuum - from clinically silent, to prodromal, to clinically manifest - and the expanded phenotypic spectrum that includes ALS, frontotemporal dementia and some movement disorders. The updated clinical paradigms should also align with our understanding of the biology of these disorders, reflected in measurable biomarkers. The Miami Framework, emerging from discussions at the Second International Pre-Symptomatic ALS Workshop in Miami (February 2023; a full list of attendees and their affiliations appears in the Supplementary Information) proposes a classification system built on: first, three parallel phenotypic axes - motor neuron, frontotemporal and extrapyramidal - rather than the unitary approach of combining all phenotypic elements into a single clinical entity; and second, biomarkers that reflect different aspects of the underlying pathology and biology of neurodegeneration. This framework decouples clinical syndromes from biomarker evidence of disease and builds on experiences from other neurodegenerative diseases to offer a unified approach to specifying the pleiotropic clinical manifestations of disease and describing the trajectory of emergent biomarkers.
Collapse
Affiliation(s)
- Michael Benatar
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Joanne Wuu
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Edward D Huey
- Department of Psychiatry and Human Behaviour, Alpert Medical School of Brown University, Providence, RI, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Ronald Postuma
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Caroline McHutchison
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jalayne J Arias
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | | | - Henry Houlden
- UCL Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Michael P McDermott
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Department of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Xueya Cai
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | | | - Adam Boxer
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Howard Rosen
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Penny Dacks
- Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | | | - Sharon Abrahams
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Neil Shneider
- Department of Neurology, Columbia University, New York, NY, USA
| | - Paul Lingor
- Department of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
| | - Jeremy Shefner
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Peter M Andersen
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- Department of Neurology, King's College Hospital, London, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| |
Collapse
|
32
|
Samra K, Peakman G, MacDougall AM, Bouzigues A, Greaves CV, Convery RS, van Swieten JC, Jiskoot L, Seelaar H, Moreno F, Sanchez‐Valle R, Laforce R, Graff C, Masellis M, Tartaglia MC, Rowe JB, Borroni B, Finger E, Synofzik M, Galimberti D, Vandenberghe R, de Mendonça A, Butler CR, Gerhard A, Ducharme S, Ber IL, Tiraboschi P, Santana I, Pasquier F, Levin J, Otto M, Sorbi S, Rohrer JD, Russell LL. Extending the phenotypic spectrum assessed by the CDR plus NACC FTLD in genetic frontotemporal dementia. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12571. [PMID: 38623386 PMCID: PMC11016817 DOI: 10.1002/dad2.12571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/15/2024] [Accepted: 02/17/2024] [Indexed: 04/17/2024]
Abstract
INTRODUCTION We aimed to expand the range of the frontotemporal dementia (FTD) phenotypes assessed by the Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains (CDR plus NACC FTLD). METHODS Neuropsychiatric and motor domains were added to the standard CDR plus NACC FTLD generating a new CDR plus NACC FTLD-NM scale. This was assessed in 522 mutation carriers and 310 mutation-negative controls from the Genetic Frontotemporal dementia Initiative (GENFI). RESULTS The new scale led to higher global severity scores than the CDR plus NACC FTLD: 1.4% of participants were now considered prodromal rather than asymptomatic, while 1.3% were now considered symptomatic rather than asymptomatic or prodromal. No participants with a clinical diagnosis of an FTD spectrum disorder were classified as asymptomatic using the new scales. DISCUSSION Adding new domains to the CDR plus NACC FTLD leads to a scale that encompasses the wider phenotypic spectrum of FTD with further work needed to validate its use more widely. Highlights The new Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains neuropsychiatric and motor (CDR plus NACC FTLD-NM) rating scale was significantly positively correlated with the original CDR plus NACC FTLD and negatively correlated with the FTD Rating Scale (FRS).No participants with a clinical diagnosis in the frontotemporal dementia spectrum were classified as asymptomatic with the new CDR plus NACC FTLD-NM rating scale.Individuals had higher global severity scores with the addition of the neuropsychiatric and motor domains.A receiver operating characteristic analysis of symptomatic diagnosis showed nominally higher areas under the curve for the new scales.
Collapse
Affiliation(s)
- Kiran Samra
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Georgia Peakman
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Amy M. MacDougall
- Department of Medical StatisticsLondon School of Hygiene and Tropical MedicineLondonUK
| | - Arabella Bouzigues
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Caroline V. Greaves
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Rhian S. Convery
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | | | - Lize Jiskoot
- Department of NeurologyErasmus Medical CentreRotterdamthe Netherlands
| | - Harro Seelaar
- Department of NeurologyErasmus Medical CentreRotterdamthe Netherlands
| | - Fermin Moreno
- Cognitive Disorders UnitDepartment of NeurologyDonostia Universitary HospitalDonostiaSpain
- Neuroscience AreaBiodonostia Health Research InstituteSan SebastiánSpain
| | - Raquel Sanchez‐Valle
- Alzheimer's Disease and Other Cognitive Disorders UnitNeurology ServiceHospital ClínicInstitut d'Investigacións Biomèdiques August Pi I SunyerUniversity of BarcelonaBarcelonaSpain
| | - Robert Laforce
- Clinique Interdisciplinaire de MémoireDépartement des Sciences NeurologiquesCHU de Québec, and Faculté de MédecineUniversité Laval, Québec CityQuébecCanada
| | - Caroline Graff
- Center for Alzheimer ResearchDivision of NeurogeriatricsDepartment of NeurobiologyCare Sciences and Society, Bioclinicum, Karolinska Institutet, SolnavägenSolnaSweden
- Unit for Hereditary DementiasTheme AgingKarolinska University HospitalHälsovägenStockholmSweden
| | - Mario Masellis
- Sunnybrook Health Sciences CentreSunnybrook Research InstituteUniversity of TorontoTorontoOntarioCanada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
| | - James B. Rowe
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Barbara Borroni
- Neurology UnitDepartment of Clinical and Experimental SciencesUniversity of BresciaPiazza del MercatoBresciaItaly
| | - Elizabeth Finger
- Department of Clinical Neurological SciencesUniversity of Western OntarioLondonOntarioCanada
| | - Matthis Synofzik
- Department of Neurodegenerative DiseasesHertie‐Institute for Clinical Brain Research and Center of NeurologyUniversity of TübingenTübingenGermany
- Center for Neurodegenerative Diseases (DZNE)TübingenGermany
| | - Daniela Galimberti
- Fondazione Ca’ GrandaIRCCS Ospedale PoliclinicoMilanItaly
- University of MilanCentro Dino FerrariMilanItaly
| | - Rik Vandenberghe
- Laboratory for Cognitive NeurologyDepartment of NeurosciencesKU LeuvenLeuvenBelgium
- Neurology ServiceUniversity Hospitals LeuvenLeuvenBelgium
- Leuven Brain InstituteKU LeuvenLeuvenBelgium
| | | | - Chris R. Butler
- Nuffield Department of Clinical NeurosciencesMedical Sciences DivisionUniversity of OxfordOxfordUK
- Department of Brain SciencesImperial College LondonLondonUK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental PsychologyWolfson Molecular Imaging CentreUniversity of ManchesterManchesterUK
- Departments of Geriatric Medicine and Nuclear MedicineUniversity of Duisburg‐EssenDuisburgGermany
| | - Simon Ducharme
- Department of PsychiatryMcGill University Health CentreMcGill UniversityMontrealQuébecCanada
- McConnell Brain Imaging CentreMontreal Neurological InstituteMcGill UniversityMontrealQuébecCanada
| | - Isabelle Le Ber
- Sorbonne UniversitéParis Brain Institute – Institut du Cerveau – ICMInserm U1127, CNRS UMR 7225AP‐HP ‐ Hôpital Pitié‐SalpêtrièreParisFrance
- Centre de référence des démences rares ou précocesIM2A, Département de NeurologieAP‐HP ‐ Hôpital Pitié‐SalpêtrièreParisFrance
- Département de NeurologieAP‐HP ‐ Hôpital Pitié‐SalpêtrièreParisFrance
- Reference Network for Rare Neurological Diseases (ERN‐RND)University Hospital TübingenTübingenGermany
| | | | - Isabel Santana
- University Hospital of Coimbra (HUC)Neurology Service, Faculty of MedicineUniversity of CoimbraCoimbraPortugal
- Center for Neuroscience and Cell BiologyFaculty of MedicineUniversity of CoimbraCoimbraPortugal
| | - Florence Pasquier
- Univ LilleLilleFrance
- Inserm 1172LilleFrance
- CHU, CNR‐MAJ, Labex Distalz, LiCEND LilleLilleFrance
| | - Johannes Levin
- Department of NeurologyLudwig‐Maximilians Universität MünchenMunichGermany
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Munich Cluster of Systems Neurology (SyNergy)MunichGermany
| | - Markus Otto
- Department of NeurologyUniversity of UlmUlmGermany
| | - Sandro Sorbi
- Department of NeurofarbaUniversity of FlorenceFirenzeFlorenceItaly
- IRCCS Fondazione Don Carlo GnocchiFirenzeFlorenceItaly
| | - Jonathan D. Rohrer
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Lucy L. Russell
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| |
Collapse
|
33
|
Lindberg O, Li TQ, Lind C, Vestberg S, Almkvist O, Stiernstedt M, Ericson A, Bogdanovic N, Hansson O, Harper L, Westman E, Graff C, Tsevis T, Mannfolk P, Fischer H, Nilsonne G, Petrovic P, Nyberg L, Wahlund LO, Santillo AF. Altered empathy processing in frontotemporal dementia A task-based fMRI study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.21.586051. [PMID: 38585830 PMCID: PMC10996471 DOI: 10.1101/2024.03.21.586051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
A lack of empathy, and particularly its affective components, is a core symptom of behavioural variant frontotemporal dementia (bvFTD). Visual exposure to images of a needle pricking a hand (pain condition) and Q-tips touching a hand (control condition) is an established functional magnetic resonance imaging (fMRI) paradigm used to investigate empathy for pain (EFP; pain condition minus control condition). EFP has been associated with increased blood oxygen level dependent (BOLD) signal in regions known to become atrophic in the early stages in bvFTD, including the anterior insula and the anterior cingulate. We therefore hypothesized that patients with bvFTD would display altered empathy processing in the EFP paradigm. Here we examined empathy processing using the EFP paradigm in 28 patients with bvFTD and 28 sex and age matched controls. Participants underwent structural MRI, task-based and resting-state fMRI. The Interpersonal Reactivity Index (IRI) was used as a measure of different facets of empathic function outside the scanner. The EFP paradigm was analysed at a whole brain level and using two regions-of-interest approaches, one based on a metanalysis of affective perceptual empathy versus cognitive evaluative empathy and one based on the controĺs activation pattern. In controls, EFP was linked to an expected increase of BOLD signal that displayed an overlap with the pattern of atrophy in the bvFTD patients (insula and anterior cingulate). Additional regions with increased signal were the supramarginal gyrus and the occipital cortex. These latter regions were the only ones that displayed increased BOLD signal in bvFTD patients. BOLD signal increase under the affective perceptual empathy but not the cognitive evaluative empathy region of interest was significantly greater in controls than in bvFTD patients. The controĺs rating on their empathic concern subscale of the IRI was significantly correlated with the BOLD signal in the EFP paradigm, as were an informantś ratings of the patientś empathic concern subscale. This correlation was not observed on other subscales of the IRI or when using the patient's self-ratings. Finally, controls and patients showed different connectivity patterns in empathy related networks during resting-state fMRI, mainly in nodes overlapping the ventral attention network. Our results indicate that reduced neural activity in regions typically affected by pathology in bvFTD is associated with reduced empathy processing, and a predictor of patientś capacity to experience affective empathy.
Collapse
Affiliation(s)
- Olof Lindberg
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
| | - Tie-Qiang Li
- Department of Clinical Science, Intervention, and Technology, Karolinska Institute, Sweden
- Department of Medical Radiation and Nuclear Medicine, Karolinska University Hospital, Sweden
| | - Cecilia Lind
- Department of community medicine and rehabilitation, geriatrics Umeå university, Umeå university, Sweden
| | | | - Ove Almkvist
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
- Department of Psychology, Stockholm, Sweden
| | - Mikael Stiernstedt
- Umeå center for Functional Brain Imaging (UFBI), Umeå University, Sweden
| | - Anita Ericson
- Department of community medicine and rehabilitation, geriatrics Umeå university, Umeå university, Sweden
| | - Nenad Bogdanovic
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Luke Harper
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Eric Westman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
| | - Caroline Graff
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
- Karolinska university hospital, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Center for Alzheimer Research, Karolinska Institutet, Solna, Sweden
| | - Theofanis Tsevis
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
- Karolinska university hospital, Stockholm, Sweden
| | - Peter Mannfolk
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Håkan Fischer
- Department of Psychology, Stockholm, Sweden
- Stockholm University Brain Imaging Centre (SUBIC), Stockholm, Sweden
- Aging Research Center, Karolinska Institutet, Stockholm, Sweden
| | - Gustav Nilsonne
- Department of Psychology, Stockholm, Sweden
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institute, Sweden
| | - Predrag Petrovic
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institute, Sweden
- Center for Cognitive and Computational Psychiatry, Department of Clinical Neuroscience, Karolinska Institute, Sweden
| | - Lars Nyberg
- Umeå center for Functional Brain Imaging (UFBI), Umeå University, Sweden
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Division of Clinical Geriatrics, Centre for Alzheimer Research, Neo, 14183 Huddinge, Sweden
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | | |
Collapse
|
34
|
Angelopoulou E, Koros C, Hatzimanolis A, Stefanis L, Scarmeas N, Papageorgiou SG. Exploring the Genetic Landscape of Mild Behavioral Impairment as an Early Marker of Cognitive Decline: An Updated Review Focusing on Alzheimer's Disease. Int J Mol Sci 2024; 25:2645. [PMID: 38473892 PMCID: PMC10931648 DOI: 10.3390/ijms25052645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
The clinical features and pathophysiology of neuropsychiatric symptoms (NPSs) in dementia have been extensively studied. However, the genetic architecture and underlying neurobiological mechanisms of NPSs at preclinical stages of cognitive decline and Alzheimer's disease (AD) remain largely unknown. Mild behavioral impairment (MBI) represents an at-risk state for incident cognitive impairment and is defined by the emergence of persistent NPSs among non-demented individuals in later life. These NPSs include affective dysregulation, decreased motivation, impulse dyscontrol, abnormal perception and thought content, and social inappropriateness. Accumulating evidence has recently begun to shed more light on the genetic background of MBI, focusing on its potential association with genetic factors related to AD. The Apolipoprotein E (APOE) genotype and the MS4A locus have been associated with affective dysregulation, ZCWPW1 with social inappropriateness and psychosis, BIN1 and EPHA1 with psychosis, and NME8 with apathy. The association between MBI and polygenic risk scores (PRSs) in terms of AD dementia has been also explored. Potential implicated mechanisms include neuroinflammation, synaptic dysfunction, epigenetic modifications, oxidative stress responses, proteosomal impairment, and abnormal immune responses. In this review, we summarize and critically discuss the available evidence on the genetic background of MBI with an emphasis on AD, aiming to gain insights into the potential underlying neurobiological mechanisms, which till now remain largely unexplored. In addition, we propose future areas of research in this emerging field, with the aim to better understand the molecular pathophysiology of MBI and its genetic links with cognitive decline.
Collapse
Affiliation(s)
- Efthalia Angelopoulou
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.A.); (L.S.); (N.S.); (S.G.P.)
| | - Christos Koros
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.A.); (L.S.); (N.S.); (S.G.P.)
| | - Alexandros Hatzimanolis
- 1st Department of Psychiatry, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece;
| | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.A.); (L.S.); (N.S.); (S.G.P.)
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.A.); (L.S.); (N.S.); (S.G.P.)
- Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Sokratis G. Papageorgiou
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (E.A.); (L.S.); (N.S.); (S.G.P.)
| |
Collapse
|
35
|
Corriveau-Lecavalier N, Tosakulwong N, Lesnick TG, Fought AJ, Reid RI, Schwarz CG, Senjem ML, Jack CR, Jones DT, Vemuri P, Rademakers R, Ramos EM, Geschwind DH, Knopman DS, Botha H, Savica R, Graff-Radford J, Ramanan VK, Fields JA, Graff-Radford N, Wszolek Z, Forsberg LK, Petersen RC, Heuer HW, Boxer AL, Rosen HJ, Boeve BF, Kantarci K. Neurite-based white matter alterations in MAPT mutation carriers: A multi-shell diffusion MRI study in the ALLFTD consortium. Neurobiol Aging 2024; 134:135-145. [PMID: 38091751 PMCID: PMC10872472 DOI: 10.1016/j.neurobiolaging.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/28/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
We assessed white matter (WM) integrity in MAPT mutation carriers (16 asymptomatic, 5 symptomatic) compared to 31 non-carrier family controls using diffusion tensor imaging (DTI) (fractional anisotropy; FA, mean diffusivity; MD) and neurite orientation dispersion and density imaging (NODDI) (neurite density index; NDI, orientation and dispersion index; ODI). Linear mixed-effects models accounting for age and family relatedness revealed alterations across DTI and NODDI metrics in all mutation carriers and in symptomatic carriers, with the most significant differences involving fronto-temporal WM tracts. Asymptomatic carriers showed higher entorhinal MD and lower cingulum FA and patterns of higher ODI mostly involving temporal areas and long association and projections fibers. Regression models between estimated time to or time from disease and DTI and NODDI metrics in key regions (amygdala, cingulum, entorhinal, inferior temporal, uncinate fasciculus) in all carriers showed increasing abnormalities with estimated time to or time from disease onset, with FA and NDI showing the strongest relationships. Neurite-based metrics, particularly ODI, appear to be particularly sensitive to early WM involvement in asymptomatic carriers.
Collapse
Affiliation(s)
- Nick Corriveau-Lecavalier
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Timothy G Lesnick
- Departmenf of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Angela J Fought
- Departmenf of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Robert I Reid
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic Jacksonville, FL, USA; Center for Molecular Neurology, Antwerp University, Belgium
| | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Hilary W Heuer
- Department of Neurology, University of California San Francisco, CA, USA
| | - Adam L Boxer
- Department of Neurology, University of California San Francisco, CA, USA
| | - Howard J Rosen
- Department of Neurology, University of California San Francisco, CA, USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
| |
Collapse
|
36
|
Nevler N, Cho S, Cousins KAQ, Ash S, Olm CA, Shellikeri S, Agmon G, Gonzalez-Recober C, Xie SX, Barker MS, Manoochehri M, Mcmillan CT, Irwin DJ, Massimo L, Dratch L, Cheran G, Huey ED, Cosentino SA, Van Deerlin VM, Liberman MY, Grossman M. Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration. Neurology 2024; 102:e207926. [PMID: 38165329 PMCID: PMC11407502 DOI: 10.1212/wnl.0000000000207926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Clinical trials developing therapeutics for frontotemporal degeneration (FTD) focus on pathogenic variant carriers at preclinical stages. Objective, quantitative clinical assessment tools are needed to track stability and delayed disease onset. Natural speech can serve as an accessible, cost-effective assessment tool. We aimed to identify early changes in the natural speech of FTD pathogenic variant carriers before they become symptomatic. METHODS In this cohort study, speech samples of picture descriptions were collected longitudinally from healthy participants in observational studies at the University of Pennsylvania and Columbia University between 2007 and 2020. Participants were asymptomatic but at risk for familial FTD. Status as "carrier" or "noncarrier" was based on screening for known pathogenic variants in the participant's family. Thirty previously validated digital speech measures derived from automatic speech processing pipelines were selected a priori based on previous studies in patients with FTD and compared between asymptomatic carriers and noncarriers cross-sectionally and longitudinally. RESULTS A total of 105 participants, all asymptomatic, included 41 carriers: 12 men [30%], mean age 43 ± 13 years; education, 16 ± 2 years; MMSE 29 ± 1; and 64 noncarriers: 27 men [42%]; mean age, 48 ± 14 years; education, 15 ± 3 years; MMSE 29 ± 1. We identified 4 speech measures that differed between carriers and noncarriers at baseline: mean speech segment duration (mean difference -0.28 seconds, 95% CI -0.55 to -0.02, p = 0.04); word frequency (mean difference 0.07, 95% CI 0.008-0.14, p = 0.03); word ambiguity (mean difference 0.02, 95% CI 0.0008-0.05, p = 0.04); and interjection count per 100 words (mean difference 0.33, 95% CI 0.07-0.59, p = 0.01). Three speech measures deteriorated over time in carriers only: particle count per 100 words per month (β = -0.02, 95% CI -0.03 to -0.004, p = 0.009); total narrative production time in seconds per month (β = -0.24, 95% CI -0.37 to -0.12, p < 0.001); and total number of words per month (β = -0.48, 95% CI -0.78 to -0.19, p = 0.002) including in 3 carriers who later converted to symptomatic disease. DISCUSSION Using automatic processing pipelines, we identified early changes in the natural speech of FTD pathogenic variant carriers in the presymptomatic stage. These findings highlight the potential utility of natural speech as a digital clinical outcome assessment tool in FTD, where objective and quantifiable measures for abnormal behavior and language are lacking.
Collapse
Affiliation(s)
- Naomi Nevler
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sunghye Cho
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Katheryn A Q Cousins
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon Ash
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Christopher A Olm
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sanjana Shellikeri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Galit Agmon
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Carmen Gonzalez-Recober
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon X Xie
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Megan S Barker
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Masood Manoochehri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Corey T Mcmillan
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - David J Irwin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Lauren Massimo
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Laynie Dratch
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Gayathri Cheran
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Edward D Huey
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Stephanie A Cosentino
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Vivianna M Van Deerlin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Mark Y Liberman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Murray Grossman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| |
Collapse
|
37
|
Benussi A, Premi E, Grassi M, Alberici A, Cantoni V, Gazzina S, Archetti S, Gasparotti R, Fumagalli GG, Bouzigues A, Russell LL, Samra K, Cash DM, Bocchetta M, Todd EG, Convery RS, Swift I, Sogorb-Esteve A, Heller C, van Swieten JC, Jiskoot LC, Seelaar H, Sanchez-Valle R, Moreno F, Laforce RJ, Graff C, Synofzik M, Galimberti D, Rowe JB, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, Mendonça A, Tiraboschi P, Butler CR, Santana I, Gerhard A, Le Ber I, Pasquier F, Ducharme S, Levin J, Sorbi S, Otto M, Padovani A, Rohrer JD, Borroni B. Diagnostic accuracy of research criteria for prodromal frontotemporal dementia. Alzheimers Res Ther 2024; 16:10. [PMID: 38216961 PMCID: PMC10785469 DOI: 10.1186/s13195-024-01383-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND The Genetic Frontotemporal Initiative Staging Group has proposed clinical criteria for the diagnosis of prodromal frontotemporal dementia (FTD), termed mild cognitive and/or behavioral and/or motor impairment (MCBMI). The objective of the study was to validate the proposed research criteria for MCBMI-FTD in a cohort of genetically confirmed FTD cases against healthy controls. METHODS A total of 398 participants were enrolled, 117 of whom were carriers of an FTD pathogenic variant with mild clinical symptoms, while 281 were non-carrier family members (healthy controls (HC)). A subgroup of patients underwent blood neurofilament light (NfL) levels and anterior cingulate atrophy assessment. RESULTS The core clinical criteria correctly classified MCBMI vs HC with an AUC of 0.79 (p < 0.001), while the addition of either blood NfL or anterior cingulate atrophy significantly increased the AUC to 0.84 and 0.82, respectively (p < 0.001). The addition of both markers further increased the AUC to 0.90 (p < 0.001). CONCLUSIONS The proposed MCBMI criteria showed very good classification accuracy for identifying the prodromal stage of FTD.
Collapse
Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Enrico Premi
- Vascular Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Mario Grassi
- Department of Brain and Behavioral Science, Medical and Genomic Statistics Unit, University of Pavia, 27100, Pavia, Italy
| | - Antonella Alberici
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Valentina Cantoni
- Department of Molecular and Translational Medicine, University of Brescia, 25123, Brescia, Italy
| | - Stefano Gazzina
- Department of Neurological and Vision Sciences, Neurophysiology Unit, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Silvana Archetti
- Biotechnology Laboratory, Department of Diagnostics, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Roberto Gasparotti
- Department of Medical and Surgical Specialties, Neuroradiology Unit, University of Brescia, 25123, Brescia, Italy
| | - Giorgio G Fumagalli
- Center for Mind/Brain Sciences-CIMeC, University of Trento, 38068, Rovereto, Italy
| | - Arabella Bouzigues
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Lucy L Russell
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Kiran Samra
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - David M Cash
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Emily G Todd
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Rhian S Convery
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Imogen Swift
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Aitana Sogorb-Esteve
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Carolin Heller
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 3015 GD, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 3015 GD, The Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 3015 GD, The Netherlands
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, 08036, Barcelona, Spain
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, 20014, San Sebastian, Gipuzkoa, Spain
- Neuroscience Area, Biodonostia Health Research Institute, 20014, San Sebastian, Gipuzkoa, Spain
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Facultéde Médecine, Université Laval, Quebec City, Québec, G1V 0A6, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, 141 52, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, 141 52, Solna, Sweden
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tubingen, 72076, Tubingen, Germany
- Center for Neurodegenerative Diseases (DZNE), 72076, Tübingen, Germany
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122, Milan, Italy
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust and Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, ON, M4N 3M5, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, M5S, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3001, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, 3000, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium
| | | | - Pietro Tiraboschi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, OX3 9DU, UK
- Department of Brain Sciences, Imperial College London, London, SW7 2BX, UK
| | - Isabel Santana
- Neurology Service, Faculty of Medicine, University Hospital of Coimbra (HUC), University of Coimbra, 3004-561, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, 3004-561, Coimbra, Portugal
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, M20 3LJ, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, 47057, Essen, Germany
- Cerebral Function Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, M6 8HD, UK
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, 75013, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, 75013, Paris, France
- Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, 75013, Paris, France
| | - Florence Pasquier
- Univ Lille, 59000, Lille, France
- , Inserm 1172, 59000, Lille, France
- CHU, CNR-MAJ, Labex Distalz, LiCEND Lille, 59000, Lille, France
| | - Simon Ducharme
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, H3A 1A1, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Department of Neurology & Neurosurgery, McGill University, Montreal, H3A 2B4, Canada
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, 80539, Munich, Germany
- Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster of Systems Neurology, 81377, Munich, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, 50139, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, 50143, Florence, Italy
| | - Markus Otto
- Department of Neurology, University of Ulm, 89081, Ulm, Germany
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy.
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy.
| |
Collapse
|
38
|
de Boer SC, Riedl L, Fenoglio C, Rue I, Landin-Romero R, Matis S, Chatterton Z, Galimberti D, Halliday G, Diehl-Schmid J, Piguet O, Pijnenburg YA, Ducharme S. Rationale and Design of the "DIagnostic and Prognostic Precision Algorithm for behavioral variant Frontotemporal Dementia" (DIPPA-FTD) Study: A Study Aiming to Distinguish Early Stage Sporadic FTD from Late-Onset Primary Psychiatric Disorders. J Alzheimers Dis 2024; 97:963-973. [PMID: 38143357 PMCID: PMC10836537 DOI: 10.3233/jad-230829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND The behavioral variant of frontotemporal dementia (bvFTD) is very heterogeneous in pathology, genetics, and disease course. Unlike Alzheimer's disease, reliable biomarkers are lacking and sporadic bvFTD is often misdiagnosed as a primary psychiatric disorder (PPD) due to overlapping clinical features. Current efforts to characterize and improve diagnostics are centered on the minority of genetic cases. OBJECTIVE The multi-center study DIPPA-FTD aims to develop diagnostic and prognostic algorithms to help distinguish sporadic bvFTD from late-onset PPD in its earliest stages. METHODS The prospective DIPPA-FTD study recruits participants with late-life behavioral changes, suspect for bvFTD or late-onset PPD diagnosis with a negative family history for FTD and/or amyotrophic lateral sclerosis. Subjects are invited to participate after diagnostic screening at participating memory clinics or recruited by referrals from psychiatric departments. At baseline visit, participants undergo neurological and psychiatric examination, questionnaires, neuropsychological tests, and brain imaging. Blood is obtained to investigate biomarkers. Patients are informed about brain donation programs. Follow-up takes place 10-14 months after baseline visit where all examinations are repeated. Results from the DIPPA-FTD study will be integrated in a data-driven approach to develop diagnostic and prognostic models. CONCLUSIONS DIPPA-FTD will make an important contribution to early sporadic bvFTD identification. By recruiting subjects with ambiguous or prodromal diagnoses, our research strategy will allow the characterization of early disease stages that are not covered in current sporadic FTD research. Results will hopefully increase the ability to diagnose sporadic bvFTD in the early stage and predict progression rate, which is pivotal for patient stratification and trial design.
Collapse
Affiliation(s)
- Sterre C.M. de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Lina Riedl
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Chiara Fenoglio
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Ishana Rue
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Ramon Landin-Romero
- Faculty of Medicine and Health, School of Health Sciences & Brain and Mind Sciences, The University of Sydney, Sydney, Australia
| | - Sophie Matis
- Faculty of Medicine and Health, School of Health Sciences & Brain and Mind Sciences, The University of Sydney, Sydney, Australia
| | - Zac Chatterton
- Brain and Mind Centre and Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Daniela Galimberti
- University of Milan, Milan, Italy
- Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Glenda Halliday
- School of Medical Sciences & Brain and Mind Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
- kbo-Inn-Salzach-Klinikum, Clinical Center for Psychiatry, Psychotherapy, Psychosomatic Medicine, Geriatrics and Neurology, Wasserburg/Inn, Germany
| | - Olivier Piguet
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| |
Collapse
|
39
|
Corriveau-Lecavalier N, Barnard LR, Przybelski SA, Gogineni V, Botha H, Graff-Radford J, Ramanan VK, Forsberg LK, Fields JA, Machulda MM, Rademakers R, Gavrilova RH, Lapid MI, Boeve BF, Knopman DS, Lowe VJ, Petersen RC, Jack CR, Kantarci K, Jones DT. Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET. Neuroimage Clin 2023; 41:103559. [PMID: 38147792 PMCID: PMC10944211 DOI: 10.1016/j.nicl.2023.103559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/21/2023] [Accepted: 12/19/2023] [Indexed: 12/28/2023]
Abstract
Genetic mutations causative of frontotemporal lobar degeneration (FTLD) are highly predictive of a specific proteinopathy, but there exists substantial inter-individual variability in their patterns of network degeneration and clinical manifestations. We collected clinical and 18Fluorodeoxyglucose-positron emission tomography (FDG-PET) data from 39 patients with genetic FTLD, including 11 carrying the C9orf72 hexanucleotide expansion, 16 carrying a MAPT mutation and 12 carrying a GRN mutation. We performed a spectral covariance decomposition analysis between FDG-PET images to yield unbiased latent patterns reflective of whole brain patterns of metabolism ("eigenbrains" or EBs). We then conducted linear discriminant analyses (LDAs) to perform EB-based predictions of genetic mutation and predominant clinical phenotype (i.e., behavior/personality, language, asymptomatic). Five EBs were significant and explained 58.52 % of the covariance between FDG-PET images. EBs indicative of hypometabolism in left frontotemporal and temporo-parietal areas distinguished GRN mutation carriers from other genetic mutations and were associated with predominant language phenotypes. EBs indicative of hypometabolism in prefrontal and temporopolar areas with a right hemispheric predominance were mostly associated with predominant behavioral phenotypes and distinguished MAPT mutation carriers from other genetic mutations. The LDAs yielded accuracies of 79.5 % and 76.9 % in predicting genetic status and predominant clinical phenotype, respectively. A small number of EBs explained a high proportion of covariance in patterns of network degeneration across FTLD-related genetic mutations. These EBs contained biological information relevant to the variability in the pathophysiological and clinical aspects of genetic FTLD, and for offering valuable guidance in complex clinical decision-making, such as decisions related to genetic testing.
Collapse
Affiliation(s)
- Nick Corriveau-Lecavalier
- Department of Neurology, Mayo Clinic Rochester, USA; Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic Rochester, USA
| | | | | | | | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic Jacksonville, USA; VIB-UA Center for Molecular Neurology, VIB, University of Antwerp, Belgium
| | | | - Maria I Lapid
- Department of Psychiatry and Psychology, Mayo Clinic Rochester, USA
| | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic Rochester, USA
| | | | | | | | - David T Jones
- Department of Neurology, Mayo Clinic Rochester, USA; Department of Radiology, Mayo Clinic Rochester, USA.
| |
Collapse
|
40
|
Jellinger KA. Pathomechanisms of cognitive and behavioral impairment in corticobasal degeneration. J Neural Transm (Vienna) 2023; 130:1509-1522. [PMID: 37659990 DOI: 10.1007/s00702-023-02691-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 08/23/2023] [Indexed: 09/04/2023]
Abstract
Corticobasal degeneration (CBD) is a rare, sporadic, late-onset progressive neurodegenerative disorder of unknown etiology, clinically characterized by an akinetic-rigid syndrome, behavior and personality disorders, language problems (aphasias), apraxia, executive and cognitive abnormalities and limb dystonia. The syndrome is not specific, as clinical features of pathologically proven CBD include several phenotypes. This 4-repeat (4R) tauopathy is morphologically featured by often asymmetric frontoparietal atrophy, ballooned/achromatic neurons containing filamentous 4R-tau aggregates in cortex and striatum, thread-like processes that are more widespread than in progressive supranuclear palsy (PSP), pathognomonic "astroglial plaques", and numerous inclusions in both astrocytes and oligodendroglia ("coiled bodies") in the white matter. Cognitive deficits in CBD are frequent initial presentations before onset of motor symptoms, depending on the phenotypic variant. They predominantly include executive and visuospatial dysfunction, sleep disorders and language deficits with usually preserved memory domains. Neuroimaging studies showed heterogenous locations of brain atrophy, particularly contralateral to the dominant symptoms, with disruption of striatal connections to prefrontal cortex and basal ganglia circuitry. Asymmetric hypometabolism, mainly involving frontal and parietal regions, is associated with brain cholinergic deficits, and dopaminergic nigrostriatal degeneration. Widespread alteration of cortical and subcortical structures causing heterogenous changes in various brain functional networks support the concept that CBD, similar to PSP, is a brain network disruption disorder. Putative pathogenic factors are hyperphosphorylated tau-pathology, neuroinflammation and oxidative injury, but the basic mechanisms of cognitive impairment in CBD, as in other degenerative movement disorders, are complex and deserve further elucidation as a basis for early diagnosis and adequate treatment of this fatal disorder.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
| |
Collapse
|
41
|
Dodich A, Cerami C. Answer to "Current Potential for Clinical Optimization of Social Cognition Assessment for Frontotemporal Dementia and Primary Psychiatric Disorders". Neuropsychol Rev 2023; 33:714-716. [PMID: 36070125 PMCID: PMC10769901 DOI: 10.1007/s11065-022-09556-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/25/2022] [Indexed: 10/14/2022]
Affiliation(s)
- Alessandra Dodich
- Center for Mind/Brain Sciences-CIMeC, University of Trento, 38068, Rovereto, TN, Italy.
| | - Chiara Cerami
- IUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS Pavia, 27100, Pavia, Italy
- Cognitive Computational Neuroscience Research Unit, IRCCS Mondino Foundation, 27100, Pavia, Italy
| |
Collapse
|
42
|
Eldaief MC, Brickhouse M, Katsumi Y, Rosen H, Carvalho N, Touroutoglou A, Dickerson BC. Atrophy in behavioural variant frontotemporal dementia spans multiple large-scale prefrontal and temporal networks. Brain 2023; 146:4476-4485. [PMID: 37201288 PMCID: PMC10629759 DOI: 10.1093/brain/awad167] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 04/10/2023] [Accepted: 04/16/2023] [Indexed: 05/20/2023] Open
Abstract
The identification of a neurodegenerative disorder's distributed pattern of atrophy-or atrophy 'signature'-can lend insights into the cortical networks that degenerate in individuals with specific constellations of symptoms. In addition, this signature can be used as a biomarker to support early diagnoses and to potentially reveal pathological changes associated with said disorder. Here, we characterized the cortical atrophy signature of behavioural variant frontotemporal dementia (bvFTD). We used a data-driven approach to estimate cortical thickness using surface-based analyses in two independent, sporadic bvFTD samples (n = 30 and n = 71, total n = 101), using age- and gender-matched cognitively and behaviourally normal individuals. We found highly similar patterns of cortical atrophy across the two independent samples, supporting the reliability of our bvFTD signature. Next, we investigated whether our bvFTD signature targets specific large-scale cortical networks, as is the case for other neurodegenerative disorders. We specifically asked whether the bvFTD signature topographically overlaps with the salience network, as previous reports have suggested. We hypothesized that because phenotypic presentations of bvFTD are diverse, this would not be the case, and that the signature would cross canonical network boundaries. Consistent with our hypothesis, the bvFTD signature spanned rostral portions of multiple networks, including the default mode, limbic, frontoparietal control and salience networks. We then tested whether the signature comprised multiple anatomical subtypes, which themselves overlapped with specific networks. To explore this, we performed a hierarchical clustering analysis. This yielded three clusters, only one of which extensively overlapped with a canonical network (the limbic network). Taken together, these findings argue against the hypothesis that the salience network is preferentially affected in bvFTD, but rather suggest that-at least in patients who meet diagnostic criteria for the full-blown syndrome-neurodegeneration in bvFTD encompasses a distributed set of prefrontal, insular and anterior temporal nodes of multiple large-scale brain networks, in keeping with the phenotypic diversity of this disorder.
Collapse
Affiliation(s)
- Mark C Eldaief
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Center for Brain Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Yuta Katsumi
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Howard Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Nicole Carvalho
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| |
Collapse
|
43
|
Abrahams S. Neuropsychological impairment in amyotrophic lateral sclerosis-frontotemporal spectrum disorder. Nat Rev Neurol 2023; 19:655-667. [PMID: 37828358 DOI: 10.1038/s41582-023-00878-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2023] [Indexed: 10/14/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with a rapid course, characterized by motor neuron dysfunction, leading to progressive disability and death. This Review, which is aimed at neurologists, psychologists and other health professionals who follow evidence-based practice relating to ALS and frontotemporal dementia (FTD), examines the neuropsychological evidence that has driven the reconceptualization of ALS as a spectrum disorder ranging from a pure motor phenotype to ALS-FTD. It focuses on changes in cognition and behaviour, which vary in severity across the spectrum: around 50% individuals with ALS are within the normal range, 15% meet the criteria for ALS-FTD, and the remaining 35% are in the mid-spectrum range with milder and more focal impairments. The cognitive impairments include deficits in verbal fluency, executive functions, social cognition and language, and apathy is the most prevalent behavioural change. The pattern and severity of cognitive and behavioural change predicts underlying regional cerebral dysfunction from brain imaging and post-mortem pathology. Our increased recognition of cognition and behaviour as part of the ALS phenotype has led to the development and standardization of assessment tools, which have been incorporated into research and clinical care. Measuring change over the course of the disease is vital for clinical trials, and neuropsychology is proving to be a biomarker for the earliest preclinical changes.
Collapse
Affiliation(s)
- Sharon Abrahams
- Human Cognitive Neuroscience, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK.
| |
Collapse
|
44
|
Giannini LAA, Seelaar H, van der Ende EL, Poos JM, Jiskoot LC, Dopper EGP, Pijnenburg YAL, Willemse EAJ, Vermunt L, Teunissen CE, van Swieten JC, Meeter LH. Clinical Value of Longitudinal Serum Neurofilament Light Chain in Prodromal Genetic Frontotemporal Dementia. Neurology 2023; 101:e1069-e1082. [PMID: 37491327 PMCID: PMC10491440 DOI: 10.1212/wnl.0000000000207581] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/10/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Elevated serum neurofilament light chain (NfL) is used to identify carriers of genetic frontotemporal dementia (FTD) pathogenic variants approaching prodromal conversion. Yet, the magnitude and timeline of NfL increase are still unclear. Here, we investigated the predictive and early diagnostic value of longitudinal serum NfL for the prodromal conversion in genetic FTD. METHODS In a longitudinal observational cohort study of genetic FTD pathogenic variant carriers, we examined the diagnostic accuracy and conversion risk associated with cross-sectional and longitudinal NfL. Time periods relative to prodromal conversion (>3, 3-1.5, 1.5-0 years before; 0-1.5 years after) were compared with values of participants who did not convert. Next, we modeled longitudinal NfL and MRI volume trajectories to determine their timeline. RESULTS We included 21 participants who converted (5 chromosome 9 open-reading frame 72 [C9orf72], 10 progranulin [GRN], 5 microtubule-associated protein tau [MAPT], and 1 TAR DNA-binding protein [TARDBP]) and 61 who did not (20 C9orf72, 30 GRN, and 11 MAPT). Participants who converted had higher NfL levels at all examined periods before prodromal conversion (median values 14.0-18.2 pg/mL; betas = 0.4-0.7, standard error [SE] = 0.1, p < 0.046) than those who did not (6.5 pg/mL) and showed further increase 0-1.5 years after conversion (28.4 pg/mL; beta = 1.0, SE = 0.1, p < 0.001). Annualized longitudinal NfL change was only significantly higher in participants who converted (vs. participants who did not) 0-1.5 years after conversion (beta = 1.2, SE = 0.3, p = 0.001). Diagnostic accuracy of cross-sectional NfL for prodromal conversion (vs. nonconversion) was good-to-excellent at time periods before conversion (area under the curve range: 0.72-0.92), improved 0-1.5 years after conversion (0.94-0.97), and outperformed annualized longitudinal change (0.76-0.84). NfL increase in participants who converted occurred earlier than frontotemporal MRI volume change and differed by genetic group and clinical phenotypes. Higher NfL corresponded to increased conversion risk (hazard ratio: cross-sectional = 6.7 [95% CI 3.3-13.7]; longitudinal = 13.0 [95% CI 4.0-42.8]; p < 0.001), but conversion-free follow-up time varied greatly across participants. DISCUSSION NfL increase discriminates individuals who convert to prodromal FTD from those who do not, preceding significant frontotemporal MRI volume loss. However, NfL alone is limited in predicting the exact timing of prodromal conversion. NfL levels also vary depending on underlying variant-carrying genes and clinical phenotypes. These findings help to guide participant recruitment for clinical trials targeting prodromal genetic FTD.
Collapse
Affiliation(s)
- Lucia A A Giannini
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Harro Seelaar
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Emma L van der Ende
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Jackie M Poos
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Lize C Jiskoot
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Elise G P Dopper
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Yolande A L Pijnenburg
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Eline A J Willemse
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Lisa Vermunt
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Charlotte E Teunissen
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - John C van Swieten
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Lieke H Meeter
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands.
| |
Collapse
|
45
|
Zamboni G, Mattioli I, Arya Z, Tondelli M, Vinceti G, Chiari A, Jenkinson M, Huey ED, Grafman J. Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia. RESEARCH SQUARE 2023:rs.3.rs-3271530. [PMID: 37674710 PMCID: PMC10479452 DOI: 10.21203/rs.3.rs-3271530/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Background Studies exploring the brain correlates of behavioural symptoms in the frontotemporal dementia spectrum (FTD) have mainly searched for linear correlations with single modality neuroimaging data, either structural magnetic resonance imaging (MRI) or fluoro-deoxy-D-glucose positron emission tomography (FDG-PET). We aimed at studying the two imaging modalities in combination to identify nonlinear co-occurring patterns of atrophy and hypometabolism related to behavioural symptoms. Methods We analysed data from 93 FTD patients who underwent T1-weighted MRI, FDG-PET imaging, and neuropsychological assessment including the Neuropsychiatric Inventory, Frontal Systems Behaviour Scale, and Neurobehavioral Rating Scale. We used a data-driven approach to identify the principal components underlying behavioural variability, then related the identified components to brain variability using a newly developed method fusing maps of grey matter volume and FDG metabolism. Results A component representing apathy, executive dysfunction, and emotional withdrawal was associated with atrophy in bilateral anterior insula and putamen, and with hypometabolism in the right prefrontal cortex. Another component representing the disinhibition versus depression/mutism continuum was associated with atrophy in the right striatum and ventromedial prefrontal cortex for disinhibition, and hypometabolism in the left fronto-opercular region and sensorimotor cortices for depression/mutism. A component representing psychosis was associated with hypometabolism in the prefrontal cortex and hypermetabolism in auditory and visual cortices. Discussion Behavioural symptoms in FTD are associated with atrophy and altered metabolism of specific brain regions, especially located in the frontal lobes, in a hierarchical way: apathy and disinhibition are mostly associated with grey matter atrophy, whereas psychotic symptoms are mostly associated with hyper-/hypo-metabolism.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Jordan Grafman
- Shirley Ryan AbilityLab & Northwestern University Feinberg School of Medicine
| |
Collapse
|
46
|
Grossman M, Seeley WW, Boxer AL, Hillis AE, Knopman DS, Ljubenov PA, Miller B, Piguet O, Rademakers R, Whitwell JL, Zetterberg H, van Swieten JC. Frontotemporal lobar degeneration. Nat Rev Dis Primers 2023; 9:40. [PMID: 37563165 DOI: 10.1038/s41572-023-00447-0] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 08/12/2023]
Abstract
Frontotemporal lobar degeneration (FTLD) is one of the most common causes of early-onset dementia and presents with early social-emotional-behavioural and/or language changes that can be accompanied by a pyramidal or extrapyramidal motor disorder. About 20-25% of individuals with FTLD are estimated to carry a mutation associated with a specific FTLD pathology. The discovery of these mutations has led to important advances in potentially disease-modifying treatments that aim to slow progression or delay disease onset and has improved understanding of brain functioning. In both mutation carriers and those with sporadic disease, the most common underlying diagnoses are linked to neuronal and glial inclusions containing tau (FTLD-tau) or TDP-43 (FTLD-TDP), although 5-10% of patients may have inclusions containing proteins from the FUS-Ewing sarcoma-TAF15 family (FTLD-FET). Biomarkers definitively identifying specific pathological entities in sporadic disease have been elusive, which has impeded development of disease-modifying treatments. Nevertheless, disease-monitoring biofluid and imaging biomarkers are becoming increasingly sophisticated and are likely to serve as useful measures of treatment response during trials of disease-modifying treatments. Symptomatic trials using novel approaches such as transcranial direct current stimulation are also beginning to show promise.
Collapse
Affiliation(s)
- Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - William W Seeley
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
| | - Adam L Boxer
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Peter A Ljubenov
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce Miller
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Olivier Piguet
- School of Psychology and Brain and Mind Center, University of Sydney, Sydney, New South Wales, Australia
| | - Rosa Rademakers
- VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The University of Gothenburg, Mölndal, Sweden
- Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | | |
Collapse
|
47
|
Planche V, Mansencal B, Manjon JV, Tourdias T, Catheline G, Coupé P. Anatomical MRI staging of frontotemporal dementia variants. Alzheimers Dement 2023; 19:3283-3294. [PMID: 36749884 DOI: 10.1002/alz.12975] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/27/2022] [Accepted: 01/04/2023] [Indexed: 02/09/2023]
Abstract
INTRODUCTION The three clinical variants of frontotemporal dementia (behavioral variant [bvFTD], semantic dementia, and progressive non-fluent aphasia [PNFA]) are likely to develop over decades, from the preclinical stage to death. METHODS To describe the long-term chronological anatomical progression of FTD variants, we built lifespan brain charts of normal aging and FTD variants by combining 8022 quality-controlled MRIs from multiple large-scale data-bases, including 107 bvFTD, 44 semantic dementia, and 38 PNFA. RESULTS We report in this manuscript the anatomical MRI staging schemes of the three FTD variants by describing the sequential divergence of volumetric trajectories between normal aging and FTD variants. Subcortical atrophy precedes focal cortical atrophy in specific behavioral and/or language networks, with a "radiological" prodromal phase lasting 8-10 years (time elapsed between the first structural alteration and canonical cortical atrophy). DISCUSSION Amygdalar and striatal atrophy can be candidate biomarkers for future preclinical/prodromal FTD variants definitions. HIGHLIGHTS We describe the chronological MRI staging of the most affected structures in the three frontotemporal dementia (FTD) syndromic variants. In behavioral variant of FTD (bvFTD): bilateral amygdalar, striatal, and insular atrophy precedes fronto-temporal atrophy. In semantic dementia: bilateral amygdalar atrophy precedes left temporal and hippocampal atrophy. In progressive non-fluent aphasia (PNFA): left striatal, insular, and thalamic atrophy precedes opercular atrophy.
Collapse
Affiliation(s)
- Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | | | - José V Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Thomas Tourdias
- Inserm U1215 - Neurocentre Magendie, Bordeaux, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, France
| | - Gwenaëlle Catheline
- Univ. Bordeaux, CNRS, UMR 5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, Bordeaux, France
| | | |
Collapse
|
48
|
Benussi A, Borroni B. Advances in the treatment and management of frontotemporal dementia. Expert Rev Neurother 2023; 23:621-639. [PMID: 37357688 DOI: 10.1080/14737175.2023.2228491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/19/2023] [Indexed: 06/27/2023]
Abstract
INTRODUCTION Frontotemporal dementia (FTD) is a complex neurodegenerative disorder, characterized by a wide range of pathological conditions associated with the buildup of proteins such as tau and TDP-43. With a strong hereditary component, FTD often results from genetic variants in three genes - MAPT, GRN, and C9orf72. AREAS COVERED In this review, the authors explore abnormal protein accumulation in FTD and forthcoming treatments, providing a detailed analysis of new diagnostic advancements, including innovative markers. They analyze how these discoveries have influenced therapeutic strategies, particularly disease-modifying treatments, which could potentially transform FTD management. This comprehensive exploration of FTD from its molecular underpinnings to its therapeutic prospects offers a compelling overview of the current state of FTD research. EXPERT OPINION Notable challenges in FTD management involve identifying reliable biomarkers for early diagnosis and response monitoring. Genetic forms of FTD, particularly those linked to C9orf72 and GRN, show promise, with targeted therapies resulting in substantial progress in disease-modifying strategies. The potential of neuromodulation techniques, like tDCS and rTMS, is being explored, requiring further study. Ongoing trials and multi-disciplinary care highlight the continued push toward effective FTD treatments. With increasing understanding of FTD's molecular and clinical intricacies, the hope for developing effective interventions grows.
Collapse
Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, Brescia, Italy
| |
Collapse
|
49
|
Barker MS, Dodge SG, Niehoff D, Denny S, Dacks PA, Dickinson S, Cosentino S, Wheaton DK. Living With Frontotemporal Degeneration: Diagnostic Journey, Symptom Experiences, and Disease Impact. J Geriatr Psychiatry Neurol 2023; 36:201-214. [PMID: 35943443 PMCID: PMC10114256 DOI: 10.1177/08919887221119976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Frontotemporal degeneration (FTD) is an umbrella term encompassing a range of rare neurodegenerative disorders that cause progressive declines in cognition, behavior, and personality. Hearing directly from individuals living with FTD and their care partners is critical in optimizing care, identifying meaningful clinical trial endpoints, and improving research recruitment and retention. The current paper presents a subset of data from the FTD Insights Survey, chronicling the diagnostic journey, symptoms, and the impact of FTD on distress, quality of life, and independence, in the mild to moderate stages of the disease. Survey respondents included 219 individuals diagnosed with FTD and 437 current care partners, representing a range of FTD diagnoses. Around half of survey respondents reported seeing three or more doctors before an FTD diagnosis was given, and a range of prior diagnoses were noted. Most frequently endorsed symptoms tended to be consistent with clinical characteristics of the specific diagnosis, though there was significant variability in symptoms reported within diagnostic categories as well as considerable overlap in symptoms between diagnostic categories. Cognitive and language symptoms of FTD were generally most distressing to the person diagnosed, and a loss of independence was endorsed as affecting quality of life. The distinct perspectives of diagnosed persons and care partners regarding disease impact differed notably for bvFTD/Pick's disease. Participating independently in a range of activities, within the home, outside the home, and with other people, were reported as challenging for people living with FTD, underscoring the degree to which the lives of these individuals are affected even at the mild and moderate stages of disease. Overall, by heeding the perspectives of those living with FTD, we can begin to design more meaningful research studies, provide better care, and develop therapies that improve quality of life.
Collapse
Affiliation(s)
- Megan S. Barker
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Shana G. Dodge
- The Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | - Debra Niehoff
- The Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | - Sharon Denny
- The Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | - Penny A. Dacks
- The Association for Frontotemporal Degeneration, King of Prussia, PA, USA
- FTD Disorders Registry, LLC, King of Prussia, PA, USA
| | - Susan Dickinson
- The Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | - Stephanie Cosentino
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | | |
Collapse
|
50
|
Abstract
PURPOSE OF REVIEW Young-onset dementia (YOD) refers to a dementia for which symptom onset occurs below the age of 65. This review summarizes the recent literature in this area, focusing on updates in epidemiology, diagnosis and service provision. RECENT FINDINGS In the last year, internationally, the prevalence of YOD was reported as 119 per 100 000, but this may vary according to population types. Although the commonest causes of YOD are Alzheimer's disease (AD) and frontotemporal dementia (FTD), there is increasing recognition that YOD is diagnostically and phenotypically broader than AD and FTD. YOD may be due to many other diseases (e.g. Huntington's disease, vascular dementia) whereas accumulation of the same protein (e.g. amyloid protein) may lead to different phenotypes of Alzheimer's disease (such as posterior cortical atrophy and behavioural-variant/frontal-variant AD). This heterogeneity of phenotypic presentation is also seen in YOD due to known genetic mutations. Biomarkers such as plasma and cerebrospinal fluid proteins, neuroimaging and genetics have shown promise in the early identification of YOD as well as providing further understanding behind the overlap between psychiatric and neurodegenerative conditions occurring in younger people. The management of YOD needs to consider age-specific issues for younger people with dementia and their family networks together with better integration with other health services such as aged, disability and improved access to services and financial assistance. SUMMARY These findings emphasize the need for early identification and appropriate age-specific and person-centred management for people with young-onset dementia.
Collapse
Affiliation(s)
- Samantha M Loi
- Department of Neuropsychiatry, Royal Melbourne Hospital
- Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Dennis Velakoulis
- Department of Neuropsychiatry, Royal Melbourne Hospital
- Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| |
Collapse
|