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Teipel S, Grazia A, Dyrba M, Grothe MJ, Pomara N. Basal forebrain volume and metabolism in carriers of the Colombian mutation for autosomal dominant Alzheimer's disease. Sci Rep 2024; 14:11268. [PMID: 38760448 PMCID: PMC11101449 DOI: 10.1038/s41598-024-60799-9] [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: 01/03/2024] [Accepted: 04/26/2024] [Indexed: 05/19/2024] Open
Abstract
We aimed to study atrophy and glucose metabolism of the cholinergic basal forebrain in non-demented mutation carriers for autosomal dominant Alzheimer's disease (ADAD). We determined the level of evidence for or against atrophy and impaired metabolism of the basal forebrain in 167 non-demented carriers of the Colombian PSEN1 E280A mutation and 75 age- and sex-matched non-mutation carriers of the same kindred using a Bayesian analysis framework. We analyzed baseline MRI, amyloid PET, and FDG-PET scans of the Alzheimer's Prevention Initiative ADAD Colombia Trial. We found moderate evidence against an association of carrier status with basal forebrain volume (Bayes factor (BF10) = 0.182). We found moderate evidence against a difference of basal forebrain metabolism (BF10 = 0.167). There was only inconclusive evidence for an association between basal forebrain volume and delayed memory and attention (BF10 = 0.884 and 0.184, respectively), and between basal forebrain volume and global amyloid load (BF10 = 2.1). Our results distinguish PSEN1 E280A mutation carriers from sporadic AD cases in which cholinergic involvement of the basal forebrain is already detectable in the preclinical and prodromal stages. This indicates an important difference between ADAD and sporadic AD in terms of pathogenesis and potential treatment targets.
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Affiliation(s)
- Stefan Teipel
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Gehlsheimer Str. 20, 18147, Rostock, Germany.
- Department of Psychosomatic Medicine, University Medicine Rostock, Gehlsheimer Str. 20, 18147, Rostock, Germany.
| | - Alice Grazia
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Martin Dyrba
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Michel J Grothe
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Nunzio Pomara
- Geriatric Psychiatry Division, Nathan Kline Institute/Department of Psychiatry and Pathology, NYU Grossman School of Medicine, Orangeburg, NY, USA
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Shah SN, Dounavi ME, Malhotra PA, Lawlor B, Naci L, Koychev I, Ritchie CW, Ritchie K, O’Brien JT. Dementia risk and thalamic nuclei volumetry in healthy midlife adults: the PREVENT Dementia study. Brain Commun 2024; 6:fcae046. [PMID: 38444908 PMCID: PMC10914447 DOI: 10.1093/braincomms/fcae046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/31/2023] [Accepted: 02/13/2024] [Indexed: 03/07/2024] Open
Abstract
A reduction in the volume of the thalamus and its nuclei has been reported in Alzheimer's disease, mild cognitive impairment and asymptomatic individuals with risk factors for early-onset Alzheimer's disease. Some studies have reported thalamic atrophy to occur prior to hippocampal atrophy, suggesting thalamic pathology may be an early sign of cognitive decline. We aimed to investigate volumetric differences in thalamic nuclei in middle-aged, cognitively unimpaired people with respect to dementia family history and apolipoprotein ε4 allele carriership and the relationship with cognition. Seven hundred participants aged 40-59 years were recruited into the PREVENT Dementia study. Individuals were stratified according to dementia risk (approximately half with and without parental dementia history). The subnuclei of the thalamus of 645 participants were segmented on T1-weighted 3 T MRI scans using FreeSurfer 7.1.0. Thalamic nuclei were grouped into six regions: (i) anterior, (ii) lateral, (iii) ventral, (iv) intralaminar, (v) medial and (vi) posterior. Cognitive performance was evaluated using the computerized assessment of the information-processing battery. Robust linear regression was used to analyse differences in thalamic nuclei volumes and their association with cognitive performance, with age, sex, total intracranial volume and years of education as covariates and false discovery rate correction for multiple comparisons. We did not find significant volumetric differences in the thalamus or its subregions, which survived false discovery rate correction, with respect to first-degree family history of dementia or apolipoprotein ε4 allele status. Greater age was associated with smaller volumes of thalamic subregions, except for the medial thalamus, but only in those without a dementia family history. A larger volume of the mediodorsal medial nucleus (Pfalse discovery rate = 0.019) was associated with a faster processing speed in those without a dementia family history. Larger volumes of the thalamus (P = 0.016) and posterior thalamus (Pfalse discovery rate = 0.022) were associated with significantly worse performance in the immediate recall test in apolipoprotein ε4 allele carriers. We did not find significant volumetric differences in thalamic subregions in relation to dementia risk but did identify an interaction between dementia family history and age. Larger medial thalamic nuclei may exert a protective effect on cognitive performance in individuals without a dementia family history but have little effect on those with a dementia family history. Larger volumes of posterior thalamic nuclei were associated with worse recall in apolipoprotein ε4 carriers. Our results could represent initial dysregulation in the disease process; further study is needed with functional imaging and longitudinal analysis.
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Affiliation(s)
- Sita N Shah
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Maria-Eleni Dounavi
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Paresh A Malhotra
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK
- UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London SW7 2AZ, UK
| | - Brian Lawlor
- Trinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin D02 PX31, Ireland
- Global Brain Health Institute, Trinity College Dublin, Dublin D02 X9W9, Ireland
| | - Lorina Naci
- Trinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin D02 PX31, Ireland
- Global Brain Health Institute, Trinity College Dublin, Dublin D02 X9W9, Ireland
| | - Ivan Koychev
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Craig W Ritchie
- Centre for Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Karen Ritchie
- Institute de Neurosciences de Montpellier, INSERM, Montpellier 34093, France
| | - John T O’Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
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van der Velpen IF, Vlasov V, Evans TE, Ikram MK, Gutman BA, Roshchupkin GV, Adams HH, Vernooij MW, Ikram MA. Subcortical brain structures and the risk of dementia in the Rotterdam Study. Alzheimers Dement 2023; 19:646-657. [PMID: 35633518 DOI: 10.1002/alz.12690] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/05/2022] [Accepted: 04/10/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Volumetric and morphological changes in subcortical brain structures are present in persons with dementia, but it is unknown if these changes occur prior to diagnosis. METHODS Between 2005 and 2016, 5522 Rotterdam Study participants (mean age: 64.4) underwent cerebral magnetic resonance imaging (MRI) and were followed for development of dementia until 2018. Volume and shape measures were obtained for seven subcortical structures. RESULTS During 12 years of follow-up, 272 dementia cases occurred. Mean volumes of thalamus (hazard ratio [HR] per standard deviation [SD] decrease 1.94, 95% confidence interval [CI]: 1.55-2.43), amygdala (HR 1.66, 95% CI: 1.44-1.92), and hippocampus (HR 1.64, 95% CI: 1.43-1.88) were strongly associated with dementia risk. Associations for accumbens, pallidum, and caudate volumes were less pronounced. Shape analyses identified regional surface changes in the amygdala, limbic thalamus, and caudate. DISCUSSION Structure of the amygdala, thalamus, hippocampus, and caudate is associated with risk of dementia in a large population-based cohort of older adults.
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Affiliation(s)
- Isabelle F van der Velpen
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Vanja Vlasov
- Interventional Neuroscience Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Tavia E Evans
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mohammad Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Boris A Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Hieab H Adams
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
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Orozco-Barajas M, Oropeza-Ruvalcaba Y, Canales-Aguirre AA, Sánchez-González VJ. PSEN1 c.1292C<A Variant and Early-Onset Alzheimer’s Disease: A Scoping Review. Front Aging Neurosci 2022; 14:860529. [PMID: 35959289 PMCID: PMC9361039 DOI: 10.3389/fnagi.2022.860529] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 06/02/2022] [Indexed: 11/13/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common cause of dementia, characterized by progressive loss of cognitive function, with β-amyloid plaques and neurofibrillary tangles being its major pathological findings. Although the disease mainly affects the elderly, c. 5–10% of the cases are due to PSEN1, PSEN2, and APP mutations, principally associated with an early onset of the disease. The A413E (rs63750083) PSEN1 variant, identified in 2001, is associated with early-onset Alzheimer’s disease (EOAD). Although there is scant knowledge about the disease’s clinical manifestations and particular features, significant clinical heterogeneity was reported, with a high incidence of spastic paraparesis (SP), language impairments, and psychiatric and motor manifestations. This scoping review aims to synthesize findings related to the A431E variant of PSEN1. In the search, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and the guidelines proposed by Arksey and O’Malley. We searched and identified 247 studies including the A431E variant of PSEN1 from 2001 to 2021 in five databases and one search engine. After the removal of duplicates, and apply inclusion criteria, 42 studies were finally included. We considered a narrative synthesis with a qualitative approach for the analysis of the data. Given the study sample conformation, we divided the results into those carried out only with participants carrying A431E (seven studies), subjects with PSEN variants (11 studies), and variants associated with EOAD in PSEN1, PSEN2, and APP (24 studies). The resulting synthesis indicates most studies involve Mexican and Mexican-American participants in preclinical stages. The articles analyzed included carrier characteristics in categories such as genetics, clinical, imaging techniques, neuropsychology, neuropathology, and biomarkers. Some studies also considered family members’ beliefs and caregivers’ experiences. Heterogeneity in both the studies found and carrier samples of EOAD-related gene variants does not allow for the generalization of the findings. Future research should focus on reporting data on the progression of carrier characteristics through time and reporting results independently or comparing them across variants.
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Affiliation(s)
- Maribel Orozco-Barajas
- Doctorado en Biociencias, Centro Universitario de los Altos, Universidad de Guadalajara, Guadalajara, Mexico
- Centro de Atención Psicológica, Tepatitlán de Morelos, Mexico
| | | | - Alejandro A. Canales-Aguirre
- Departamento de Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A. C. (CIATEJ), Guadalajara, Mexico
| | - Victor J. Sánchez-González
- Doctorado en Biociencias, Centro Universitario de los Altos, Universidad de Guadalajara, Guadalajara, Mexico
- Departamento de Clínicas, Centro Universitario de los Altos, Universidad de Guadalajara, Guadalajara, Mexico
- *Correspondence: Victor J. Sánchez-González,
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Forno G, Lladó A, Hornberger M. Going round in circles-The Papez circuit in Alzheimer's disease. Eur J Neurosci 2021; 54:7668-7687. [PMID: 34656073 DOI: 10.1111/ejn.15494] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/01/2021] [Accepted: 10/12/2021] [Indexed: 11/29/2022]
Abstract
The hippocampus is regarded as the pivotal structure for episodic memory symptoms associated with Alzheimer's disease (AD) pathophysiology. However, what is often overlooked is that the hippocampus is 'only' one part of a network of memory critical regions, the Papez circuit. Other Papez circuit regions are often regarded as less relevant for AD as they are thought to sit 'downstream' of the hippocampus. However, this notion is oversimplistic, and increasing evidence suggests that other Papez regions might be affected before or concurrently with the hippocampus. In addition, AD research has mostly focused on episodic memory deficits, whereas spatial navigation processes are also subserved by the Papez circuit with increasing evidence supporting its valuable potential as a diagnostic measure of incipient AD pathophysiology. In the current review, we take a step forward analysing recent evidence on the structural and functional integrity of the Papez circuit across AD disease stages. Specifically, we will review the integrity of specific Papez regions from at-genetic-risk (APOE4 carriers), to mild cognitive impairment (MCI), to dementia stage of sporadic AD and autosomal dominant AD (ADAD). We related those changes to episodic memory and spatial navigation/orientation deficits in AD. Finally, we provide an overview of how the Papez circuit is affected in AD diseases and their specific symptomology contributions. This overview strengthened the need for moving away from a hippocampal-centric view to a network approach on how the whole Papez circuit is affected in AD and contributes to its symptomology, informing future research and clinical approaches.
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Affiliation(s)
- Gonzalo Forno
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,School of Psychology, Universidad de los Andes, Santiago, Chile.,Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, ICBM, Neurosciences Department, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
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6
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Keret O, Staffaroni AM, Ringman JM, Cobigo Y, Goh SM, Wolf A, Allen IE, Salloway S, Chhatwal J, Brickman AM, Reyes‐Dumeyer D, Bateman RJ, Benzinger TL, Morris JC, Ances BM, Joseph‐Mathurin N, Perrin RJ, Gordon BA, Levin J, Vöglein J, Jucker M, la Fougère C, Martins RN, Sohrabi HR, Taddei K, Villemagne VL, Schofield PR, Brooks WS, Fulham M, Masters CL, Ghetti B, Saykin AJ, Jack CR, Graff‐Radford NR, Weiner M, Cash DM, Allegri RF, Chrem P, Yi S, Miller BL, Rabinovici GD, Rosen HJ. Pattern and degree of individual brain atrophy predicts dementia onset in dominantly inherited Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12197. [PMID: 34258377 PMCID: PMC8256623 DOI: 10.1002/dad2.12197] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/13/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Asymptomatic and mildly symptomatic dominantly inherited Alzheimer's disease mutation carriers (DIAD-MC) are ideal candidates for preventative treatment trials aimed at delaying or preventing dementia onset. Brain atrophy is an early feature of DIAD-MC and could help predict risk for dementia during trial enrollment. METHODS We created a dementia risk score by entering standardized gray-matter volumes from 231 DIAD-MC into a logistic regression to classify participants with and without dementia. The score's predictive utility was assessed using Cox models and receiver operating curves on a separate group of 65 DIAD-MC followed longitudinally. RESULTS Our risk score separated asymptomatic versus demented DIAD-MC with 96.4% (standard error = 0.02) and predicted conversion to dementia at next visit (hazard ratio = 1.32, 95% confidence interval [CI: 1.15, 1.49]) and within 2 years (area under the curve = 90.3%, 95% CI [82.3%-98.2%]) and improved prediction beyond established methods based on familial age of onset. DISCUSSION Individualized risk scores based on brain atrophy could be useful for establishing enrollment criteria and stratifying DIAD-MC participants for prevention trials.
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Affiliation(s)
- Ophir Keret
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Adam M. Staffaroni
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - John M. Ringman
- Alzheimer's Disease Research Center, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Yann Cobigo
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Sheng‐Yang M. Goh
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Amy Wolf
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Isabel Elaine Allen
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Stephen Salloway
- Warren Alpert Medical SchoolBrown UniversityProvidenceRhode IslandUSA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School BostonBostonMassachusettsUSA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Dolly Reyes‐Dumeyer
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Randal J. Bateman
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Tammie L.S. Benzinger
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
| | - John C. Morris
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Beau M. Ances
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Nelly Joseph‐Mathurin
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Richard J. Perrin
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Brian A. Gordon
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Department of NeurologyLudwig‐Maximilians‐Universität MünchenMunichGermany
| | - Jonathan Vöglein
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Department of NeurologyLudwig‐Maximilians‐Universität MünchenMunichGermany
| | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
| | - Christian la Fougère
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Institute for Nuclear Medicine and Clinical Molecular ImagingEberhard Karls UniversityTübingenGermany
| | - Ralph N. Martins
- Department of Biomedical SciencesMacquarie UniversityNorth RydeNew South WalesAustralia
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- School of Psychiatry and Clinical NeurosciencesUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- The Cooperative Research Centre for Mental HealthCarlton SouthVictoriaAustralia
| | - Hamid R. Sohrabi
- Department of Biomedical SciencesMacquarie UniversityNorth RydeNew South WalesAustralia
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- School of Psychiatry and Clinical NeurosciencesUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- The Cooperative Research Centre for Mental HealthCarlton SouthVictoriaAustralia
| | - Kevin Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
| | - Victor L. Villemagne
- Department of Molecular Imaging and TherapyAustin HealthMelbourneVictoriaAustralia
| | - Peter R. Schofield
- Neuroscience Research Australia, RandwickSydneyNew South WalesAustralia
- School of Medical SciencesUNSW SydneySydneyNew South WalesAustralia
| | - William S. Brooks
- Neuroscience Research Australia, RandwickSydneyNew South WalesAustralia
- Prince of Wales Hospital Clinical SchoolUNSW SydneySydneyNew South WalesAustralia
| | - Michael Fulham
- Department of Molecular Imaging, Royal Prince Alfred Hospital, Sydney Medical SchoolUniversity of SydneyCamperdownNew South WalesAustralia
| | - Colin L. Masters
- The Florey InstituteUniversity of MelbourneParkvilleVictoriaAustralia
| | - Bernardino Ghetti
- Department of Pathology and Laboratory MedicineIndiana University School of MedicineIndianapolisIndianaUSA
| | - Andrew J. Saykin
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of RadiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | | | | | - Michael Weiner
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of RadiologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - David M. Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Ricardo F. Allegri
- Department of Cognitive Neurology, Neuropsychiatry and NeuropsychologyInstituto de InvestigacionesNeurológicas FLENIBuenos AiresArgentina
| | - Patricio Chrem
- Department of Cognitive Neurology, Neuropsychiatry and NeuropsychologyInstituto de InvestigacionesNeurológicas FLENIBuenos AiresArgentina
| | - Su Yi
- Banner Alzheimer's InstitutePhoenixArizonaUSA
| | - Bruce L. Miller
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Howard J. Rosen
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
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Pardilla-Delgado E, Torrico-Teave H, Sanchez JS, Ramirez-Gomez LA, Baena A, Bocanegra Y, Vila-Castelar C, Fox-Fuller JT, Guzmán-Vélez E, Martínez J, Alvarez S, Ochoa-Escudero M, Lopera F, Quiroz YT. Associations between subregional thalamic volume and brain pathology in autosomal dominant Alzheimer's disease. Brain Commun 2021; 3:fcab101. [PMID: 34095834 PMCID: PMC8172494 DOI: 10.1093/braincomms/fcab101] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/01/2021] [Accepted: 03/19/2021] [Indexed: 12/02/2022] Open
Abstract
Histopathological reports suggest that subregions of the thalamus, which regulates multiple physiological and cognitive processes, are not uniformly affected by Alzheimer's disease. Despite this, structural neuroimaging studies often consider the thalamus as a single region. Identification of in vivo Alzheimer's-dependent volumetric changes in thalamic subregions may aid the characterization of early nuclei-specific neurodegeneration in Alzheimer's disease. Here, we leveraged access to the largest single-mutation cohort of autosomal-dominant Alzheimer's disease to test whether cross-sectional abnormalities in subregional thalamic volumes are evident in non-demented mutation carriers (n = 31), compared to non-carriers (n = 36), and whether subregional thalamic volume is associated with age, markers of brain pathology and cognitive performance. Using automatic parcellation we examined the thalamus in six subregions (anterior, lateral, ventral, intralaminar, medial, and posterior) and their relation to age and brain pathology (amyloid and tau), as measured by PET imaging. No between-group differences were observed in the volume of the thalamic subregions. In carriers, lower volume in the medial subregion was related to increased cortical amyloid and entorhinal tau burden. These findings suggest that thalamic Alzheimer's-related volumetric reductions are not uniform even in preclinical and prodromal stages of autosomal-dominant Alzheimer's disease and therefore, this structure should not be considered as a single, unitary structure in Alzheimer's disease research.
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Affiliation(s)
| | | | - Justin S Sanchez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | | | - Ana Baena
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
| | - Yamile Bocanegra
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
| | - Clara Vila-Castelar
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Joshua T Fox-Fuller
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Boston University, Boston, MA 02215, USA
| | | | - Jairo Martínez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | | | | | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
| | - Yakeel T Quiroz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
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8
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Benkert H, Bhatia S, Mirza-Davies A, Tan ZX, Harrison JR. Challenges in diffusion MRI meta-analysis: A discussion of "Genetic influences on white matter and metabolism abnormal change in Alzheimer's disease: Meta-analysis for neuroimaging research on presenilin 1 mutation". Clin Neurol Neurosurg 2020; 199:106279. [PMID: 33091654 DOI: 10.1016/j.clineuro.2020.106279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/01/2020] [Accepted: 10/03/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Hannah Benkert
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff, CF14 4XN, UK.
| | - Sanchita Bhatia
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff, CF14 4XN, UK
| | - Anastasia Mirza-Davies
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff, CF14 4XN, UK
| | - Zhao Xuan Tan
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff, CF14 4XN, UK
| | - Judith R Harrison
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cardiff, CF24 4HQ, UK
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9
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Li C, Zuo Z, Liu D, Jiang R, Li Y, Li H, Yin X, Lai Y, Wang J, Xiong K. Type 2 Diabetes Mellitus May Exacerbate Gray Matter Atrophy in Patients With Early-Onset Mild Cognitive Impairment. Front Neurosci 2020; 14:856. [PMID: 32848591 PMCID: PMC7432296 DOI: 10.3389/fnins.2020.00856] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 07/22/2020] [Indexed: 01/08/2023] Open
Abstract
Background The precise physiopathological association between the courses of neurodegeneration and cognitive decline in type 2 diabetes mellitus (T2DM) remains unclear. This study sought to comprehensively investigate the distribution characteristics of gray matter atrophy in middle-aged T2DM patients with newly diagnosed mild cognitive impairment (MCI). Methods Four groups, including 28 patients with early-onset MCI, 28 patients with T2DM, 28 T2DM patients with early-onset MCI (T2DM-MCI), and 28 age-, sex-, and education-matched healthy controls underwent three-dimensional high-resolution structural magnetic resonance imaging. Cortical and subcortical gray matter volumes were calculated, and a structural covariance method was used to evaluate the morphological relationships within the default mode network (DMN). Results Overlapped and unique cortical/subcortical gray matter atrophy was found in patients with MCI, T2DM and T2DM-MCI in our study, and patients with T2DM-MCI showed lower volumes in several areas than patients with MCI or T2DM. Volume loss in subcortical areas (including the thalamus, putamen, and hippocampus), but not in cortical areas, was related to cognitive impairment in patients with MCI and T2DM-MCI. No associations between biochemical measurements and volumetric reductions were found. Furthermore, patients with MCI and those with T2DM-MCI showed disrupted structural connectivity within the DMN. Conclusion These findings provide further evidence that T2DM may exacerbate atrophy of specific gray matter regions, which may be primarily associated with MCI. Impairments in gray matter volume related to T2DM or MCI are independent of cardiovascular risk factors, and subcortical atrophy may play a more pivotal role in cognitive impairment than cortical alterations in patients with MCI and T2DM-MCI. The enhanced structural connectivity within the DMN in patients with T2DM-MCI may suggest a compensatory mechanism for the chronic neurodegeneration.
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Affiliation(s)
- Chang Li
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.,Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Zhiwei Zuo
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, China
| | - Daihong Liu
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Rui Jiang
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, China
| | - Yang Li
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Haitao Li
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Xuntao Yin
- Department of Medical Imaging, Guizhou Provincial People's Hospital, Guizhou, China
| | - Yuqi Lai
- School of Foreign Languages and Cultures, Chongqing University, Chongqing, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Kunlin Xiong
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China
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10
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Vilaplana E, Rodriguez-Vieitez E, Ferreira D, Montal V, Almkvist O, Wall A, Lleó A, Westman E, Graff C, Fortea J, Nordberg A. Cortical microstructural correlates of astrocytosis in autosomal-dominant Alzheimer disease. Neurology 2020; 94:e2026-e2036. [PMID: 32291295 PMCID: PMC7282881 DOI: 10.1212/wnl.0000000000009405] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 11/18/2019] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To study the macrostructural and microstructural MRI correlates of brain astrocytosis, measured with 11C-deuterium-L-deprenyl (11C-DED)-PET, in familial autosomal-dominant Alzheimer disease (ADAD). METHODS The total sample (n = 31) comprised ADAD mutation carriers (n = 10 presymptomatic, 39.2 ± 10.6 years old; n = 3 symptomatic, 55.5 ± 2.0 years old) and noncarriers (n = 18, 44.0 ± 13.7 years old) belonging to families with mutations in either the presenilin-1 or amyloid precursor protein genes. All participants underwent structural and diffusion MRI and neuropsychological assessment, and 20 participants (6 presymptomatic and 3 symptomatic mutation carriers and 11 noncarriers) also underwent 11C-DED-PET. RESULTS Vertex-wise interaction analyses revealed a differential relationship between carriers and noncarriers in the association between 11C-DED binding and estimated years to onset (EYO) and between cortical mean diffusivity (MD) and EYO. These differences were due to higher 11C-DED binding in presymptomatic carriers, with lower binding in symptomatic carriers compared to noncarriers, and to lower cortical MD in presymptomatic carriers, with higher MD in symptomatic carriers compared to noncarriers. Using a vertex-wise local correlation approach, 11C-DED binding was negatively correlated with cortical MD and positively correlated with cortical thickness. CONCLUSIONS Our proof-of-concept study is the first to show that microstructural and macrostructural changes can reflect underlying neuroinflammatory mechanisms in early stages of Alzheimer disease (AD). The findings support a role for neuroinflammation in AD pathogenesis, with potential implications for the correct interpretation of neuroimaging biomarkers as surrogate endpoints in clinical trials.
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Affiliation(s)
- Eduard Vilaplana
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Elena Rodriguez-Vieitez
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Daniel Ferreira
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Victor Montal
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Ove Almkvist
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Anders Wall
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Alberto Lleó
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Eric Westman
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Caroline Graff
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Juan Fortea
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Agneta Nordberg
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
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11
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Quan M, Zhao T, Tang Y, Luo P, Wang W, Qin Q, Li T, Wang Q, Fang J, Jia J. Effects of gene mutation and disease progression on representative neural circuits in familial Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2020; 12:14. [PMID: 31937364 PMCID: PMC6961388 DOI: 10.1186/s13195-019-0572-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 12/23/2019] [Indexed: 02/08/2023]
Abstract
Background Although structural and functional changes of the striatum and hippocampus are present in familial Alzheimer’s disease, little is known about the effects of specific gene mutation or disease progression on their related neural circuits. This study was to evaluate the effects of known pathogenic gene mutation and disease progression on the striatum- and hippocampus-related neural circuits, including frontostriatal and hippocampus-posterior cingulate cortex (PCC) pathways. Methods A total of 102 healthy mutation non-carriers, 40 presymptomatic mutation carriers (PMC), and 30 symptomatic mutation carriers (SMC) of amyloid precursor protein (APP), presenilin 1 (PS1), or presenilin 2 gene, with T1 structural MRI, diffusion tensor imaging, and resting-state functional MRI were included. Representative neural circuits and their key nodes were obtained, including bilateral caudate-rostral middle frontal gyrus (rMFG), putamen-rMFG, and hippocampus-PCC. Volumes, diffusion indices, and functional connectivity of circuits were compared between groups and correlated with neuropsychological and clinical measures. Results In PMC, APP gene mutation carriers showed impaired diffusion indices of caudate-rMFG and putamen-rMFG circuits; PS1 gene mutation carriers showed increased fiber numbers of putamen-rMFG circuit. SMC showed increased diffusivity of the left hippocampus-PCC circuit and volume reduction of all regions as compared with PMC. Imaging measures especially axial diffusivity of the representative circuits were correlated with neuropsychological measures. Conclusions APP and PS1 gene mutations affect frontostriatal circuits in a different manner in familial Alzheimer’s disease; disease progression primarily affects the structure of hippocampus-PCC circuit. The structural connectivity of both frontostriatal and hippocampus-PCC circuits is associated with general cognitive function. Such findings may provide further information about the imaging biomarkers for early identification and prognosis of familial Alzheimer’s disease, and pave the way for early diagnosis, gene- or circuit-targeted treatment, and even prevention. Electronic supplementary material The online version of this article (10.1186/s13195-019-0572-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Meina Quan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Tan Zhao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Yi Tang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Ping Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wei Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Qi Qin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Tingting Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Qigeng Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China. .,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China. .,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.
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12
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Novellino F, López ME, Vaccaro MG, Miguel Y, Delgado ML, Maestu F. Association Between Hippocampus, Thalamus, and Caudate in Mild Cognitive Impairment APOEε4 Carriers: A Structural Covariance MRI Study. Front Neurol 2019; 10:1303. [PMID: 31920926 PMCID: PMC6933953 DOI: 10.3389/fneur.2019.01303] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 11/26/2019] [Indexed: 12/24/2022] Open
Abstract
Objective: Although, the apolipoprotein E (APOE) genotype is widely recognized as one of the most important risk factors for Alzheimer's disease (AD) development, the neural mechanisms by which the ε4 allele promotes the AD occurring remain under debate. The aim of this study was to evaluate neurobiological effects of the APOE-genotype on the pattern of the structural covariance in mild cognitive impairment (MCI) subjects. Methods: We enrolled 95 MCI subjects and 49 healthy controls. According to APOE-genotype, MCI subjects were divided into three groups: APOEε4 non-carriers (MCIε4-/-, n = 55), APOEε4 heterozygous carriers (MCIε4+/-, n = 31), and APOEε4 homozygous carriers (MCIε4+/+, n = 9) while all controls were APOEε4 non-carriers. In order to explore their brain structural pattern, T1-weighted anatomical brain 1.5-T MRI scans were collected. A whole-brain voxel-based morphometry analysis was performed, and all significant regions (p < 0.05 family-wise error, whole brain) were selected as a region of interest for the structural covariance analysis. Moreover, in order to evaluate the progression of the disease, a clinical follow-up was performed for 2 years. Results: The F-test showed in voxel-based morphometry analysis a strong overall difference among the groups in the middle frontal and temporal gyri and in the bilateral hippocampi, thalami, and parahippocampal gyri, with a grading in the atrophy in these latter three structures according to the following order: MCIε4+/+ > MCIε4+/- > MCIε4-/- > controls. Structural covariance analysis revealed a strong structural association between the left thalamus and the left caudate and between the right hippocampus and the left caudate (p < 0.05 family-wise error, whole brain) in the MCIε4 carrier groups (MCIε4+/+ > MCIε4+/-), whereas no significant associations were observed in MCIε4-/- subjects. Of note, the 38% of MCIs enrolled in this study developed AD within 2 years of follow-up. Conclusion: This study improves the knowledge on neurobiological effect of APOE ε4 in early pathophysiological phenomena underlying the MCI-to-AD evolution, as our results demonstrate changes in the structural association between hippocampal formation and thalamo-striatal connections occurring in MCI ε4 carriers. Our results strongly support the role of subcortical structures in MCI ε4 carriers and open a clinical window on the role of these structures as early disease markers.
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Affiliation(s)
- Fabiana Novellino
- Neuroimaging Research Unit, Institute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy
| | - María Eugenia López
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Madrid, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | | | - Yus Miguel
- Radiology Department, San Carlos Clinical Hospital, Madrid, Spain
| | - María Luisa Delgado
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Fernando Maestu
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Madrid, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
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Gu X, Chu T, Liu L, Han X. Genetic influences on white matter and metabolism abnormal change in Alzheimer's disease: Meta-analysis for neuroimaging research on presenilin 1 mutation. Clin Neurol Neurosurg 2019; 177:47-53. [PMID: 30599314 DOI: 10.1016/j.clineuro.2018.12.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Revised: 10/18/2018] [Accepted: 12/24/2018] [Indexed: 11/19/2022]
Abstract
Mutations in the presenilin1 (PSEN1) cause familial Alzheimer's disease (FAD), providing a special opportunity to study pre-symptomatic individuals who would be predicted to develop Alzheimer's disease (AD) in the future. However, whether presenilin1 (PSEN1) genotype and neuroimaging markers is a harbinger of AD remains controversial. We aimed to explore the association of PSEN1 genotype with neuroimaging markers of AD: white matter integrity, cerebral amyloid deposition and brain metabolism. We reviewed studies of diffusion tensor imaging (DTI), amyloid deposition and cerebral metabolism in patients with AD and control, in order to address the relative change of white matter microstructural associated with PSEN1 genotype. We performed a systematic meta-analysis and review of 11 cross-sectional studies identified in several database from 2008 to 2018 (n = 165). The pooled standard mean difference (SMD) value was calculated to estimate the association between PSEN1 and white matter change and brain metabolism. PSEN1 mutation carrier status was associated with mean diffusivity (MD) change (pooled SMD: 2.29; 95% CI 1.04 to 3.53; p < 0.001) and increased cerebral amyloid positron emission tomography tracer (pooled SMD: 3.78, 95% CI 1.04 to 6.53, p = 0.007). PSEN1 was not associated with white matter metabolism change (p = 0.069). PSEN1 was associated with mean diffusivity (MD) increase in DTI markers and decreased brain metabolism. Theses associations may suggest the potential role of the PSEN1 gene and imaging marker in Alzheimer's disease.
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Affiliation(s)
- Xiaochun Gu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing 210009, China; Key Laboratory of Developmental Genes and Human Diseases, Department of Histology Embryology, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing 210009, China.
| | - Tao Chu
- Nanjing Normal University Affiliated Middle School Xincheng Junior High School, 123 Huangshan Road, Nanjing 210009, China
| | - Li Liu
- Key Laboratory of Developmental Genes and Human Diseases, Department of Histology Embryology, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing 210009, China
| | - Xiao Han
- Key Laboratory of Developmental Genes and Human Diseases, Department of Histology Embryology, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing 210009, China
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14
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Petok JR, Myers CE, Pa J, Hobel Z, Wharton DM, Medina LD, Casado M, Coppola G, Gluck MA, Ringman JM. Impairment of memory generalization in preclinical autosomal dominant Alzheimer's disease mutation carriers. Neurobiol Aging 2018; 65:149-157. [PMID: 29494861 PMCID: PMC5871602 DOI: 10.1016/j.neurobiolaging.2018.01.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 01/06/2018] [Accepted: 01/26/2018] [Indexed: 11/30/2022]
Abstract
Fast, inexpensive, and noninvasive identification of Alzheimer's disease (AD) before clinical symptoms emerge would augment our ability to intervene early in the disease. Individuals with fully penetrant genetic mutations causing autosomal dominant Alzheimer's disease (ADAD) are essentially certain to develop the disease, providing a unique opportunity to examine biomarkers during the preclinical stage. Using a generalization task that has previously shown to be sensitive to medial temporal lobe pathology, we compared preclinical individuals carrying ADAD mutations to noncarrying kin to determine whether generalization (the ability to transfer previous learning to novel but familiar recombinations) is vulnerable early, before overt cognitive decline. As predicted, results revealed that preclinical ADAD mutation carriers made significantly more errors during generalization than noncarrying kin, despite no differences between groups during learning or retention. This impairment correlated with the left hippocampal volume, particularly in mutation carriers. Such identification of generalization deficits in early ADAD may provide an easily implementable and potentially linguistically and culturally neutral way to identify and track cognition in ADAD.
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Affiliation(s)
- Jessica R Petok
- Department of Psychology, Saint Olaf College, Northfield, MN, USA; Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA.
| | - Catherine E Myers
- Department of Veterans Affairs, New Jersey Health Care System, East Orange, NJ, USA; Department of Pharmacology, Physiology & Neuroscience, Rutgers-New Jersey Medical School, Newark, NJ, USA
| | - Judy Pa
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Department of Neurology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Zachary Hobel
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Department of Neurology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - David M Wharton
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA; Vanderbilt University, Nashville, TN, USA
| | - Luis D Medina
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA; Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maria Casado
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA
| | - Giovanni Coppola
- Department of Neurology, UCLA, Los Angeles, CA, USA; Semel Institute of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | - Mark A Gluck
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA
| | - John M Ringman
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA; Memory and Aging Center, Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
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15
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Cash DM, Bocchetta M, Thomas DL, Dick KM, van Swieten JC, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe JB, Graff C, Tagliavini F, Frisoni GB, Laforce R, Finger E, de Mendonça A, Sorbi S, Rossor MN, Ourselin S, Rohrer JD. Patterns of gray matter atrophy in genetic frontotemporal dementia: results from the GENFI study. Neurobiol Aging 2018; 62:191-196. [PMID: 29172163 PMCID: PMC5759893 DOI: 10.1016/j.neurobiolaging.2017.10.008] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 10/08/2017] [Accepted: 10/10/2017] [Indexed: 12/01/2022]
Abstract
Frontotemporal dementia (FTD) is a highly heritable condition with multiple genetic causes. In this study, similarities and differences of gray matter (GM) atrophy patterns were assessed among 3 common forms of genetic FTD (mutations in C9orf72, GRN, and MAPT). Participants from the Genetic FTD Initiative (GENFI) cohort with a suitable volumetric T1 magnetic resonance imaging scan were included (319): 144 nonmutation carriers, 128 presymptomatic mutation carriers, and 47 clinically affected mutation carriers. Cross-sectional differences in GM volume between noncarriers and carriers were analyzed using voxel-based morphometry. In the affected carriers, each genetic mutation group exhibited unique areas of atrophy but also a shared network involving the insula, orbitofrontal lobe, and anterior cingulate. Presymptomatic GM atrophy was observed particularly in the thalamus and cerebellum in the C9orf72 group, the anterior and medial temporal lobes in MAPT, and the posterior frontal and parietal lobes as well as striatum in GRN. Across all presymptomatic carriers, there were significant decreases in the anterior insula. These results suggest that although there are important differences in atrophy patterns for each group (which can be seen presymptomatically), there are also similarities (a fronto-insula-anterior cingulate network) that help explain the clinical commonalities of the disease.
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Affiliation(s)
- David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; Centre for Medical Image Computing, University College London, London, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - David L Thomas
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; Centre for Medical Image Computing, University College London, London, UK
| | - Katrina M Dick
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Barbara Borroni
- Centre for Ageing Brain and Neurodegenerative Disorders, Neurology Unit, University of Brescia, Brescia, Italy
| | - Daniela Galimberti
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Mario Masellis
- Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Caroline Graff
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden; Department of Geriatric Medicine, Karolinska University Hospital, Stockholm, Sweden
| | | | | | | | | | | | - Sandro Sorbi
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy; IRCCS Don Gnocchi, Firenze, Italy
| | - Martin N Rossor
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Sebastien Ourselin
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; Centre for Medical Image Computing, University College London, London, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
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16
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McKenzie AT, Moyon S, Wang M, Katsyv I, Song WM, Zhou X, Dammer EB, Duong DM, Aaker J, Zhao Y, Beckmann N, Wang P, Zhu J, Lah JJ, Seyfried NT, Levey AI, Katsel P, Haroutunian V, Schadt EE, Popko B, Casaccia P, Zhang B. Multiscale network modeling of oligodendrocytes reveals molecular components of myelin dysregulation in Alzheimer's disease. Mol Neurodegener 2017; 12:82. [PMID: 29110684 PMCID: PMC5674813 DOI: 10.1186/s13024-017-0219-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 10/17/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Oligodendrocytes (OLs) and myelin are critical for normal brain function and have been implicated in neurodegeneration. Several lines of evidence including neuroimaging and neuropathological data suggest that Alzheimer's disease (AD) may be associated with dysmyelination and a breakdown of OL-axon communication. METHODS In order to understand this phenomenon on a molecular level, we systematically interrogated OL-enriched gene networks constructed from large-scale genomic, transcriptomic and proteomic data obtained from human AD postmortem brain samples. We then validated these networks using gene expression datasets generated from mice with ablation of major gene expression nodes identified in our AD-dysregulated networks. RESULTS The robust OL gene coexpression networks that we identified were highly enriched for genes associated with AD risk variants, such as BIN1 and demonstrated strong dysregulation in AD. We further corroborated the structure of the corresponding gene causal networks using datasets generated from the brain of mice with ablation of key network drivers, such as UGT8, CNP and PLP1, which were identified from human AD brain data. Further, we found that mice with genetic ablations of Cnp mimicked aspects of myelin and mitochondrial gene expression dysregulation seen in brain samples from patients with AD, including decreased protein expression of BIN1 and GOT2. CONCLUSIONS This study provides a molecular blueprint of the dysregulation of gene expression networks of OL in AD and identifies key OL- and myelination-related genes and networks that are highly associated with AD.
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Affiliation(s)
- Andrew T. McKenzie
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Sarah Moyon
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Neuroscience Initiative, The City University of New York, Advanced Science Research Center, 85 St. Nicholas Terrace, New York, NY 10031 USA
| | - Minghui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Igor Katsyv
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Won-Min Song
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Xianxiao Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Eric B. Dammer
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Duc M. Duong
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322 USA
- Integrated Proteomics Core Facility, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Joshua Aaker
- Department of Neurology, The University of Chicago Pritzker School of Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637 USA
| | - Yongzhong Zhao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Noam Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Jun Zhu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - James J. Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322 USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Nicholas T. Seyfried
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322 USA
- Integrated Proteomics Core Facility, Emory University School of Medicine, Atlanta, GA 30322 USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Allan I. Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322 USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Pavel Katsel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Vahram Haroutunian
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
- Mental Illness Research, Education, and Clinical Center (VISN 3), James J. Peters VA Medical Center, Bronx, NY 10468 USA
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Brian Popko
- Department of Neurology, The University of Chicago Pritzker School of Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637 USA
| | - Patrizia Casaccia
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Neuroscience Initiative, The City University of New York, Advanced Science Research Center, 85 St. Nicholas Terrace, New York, NY 10031 USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
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17
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Zheng LJ, Su YY, Wang YF, Zhong J, Liang X, Zheng G, Lu GM, Zhang LJ. Altered spontaneous brain activity pattern in cognitively normal young adults carrying mutations of APP, presenilin-1/2 and APOE ε4. Eur J Radiol 2017; 95:18-23. [PMID: 28987665 DOI: 10.1016/j.ejrad.2017.07.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Revised: 06/19/2017] [Accepted: 07/11/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To explore genetic effects of amyloid precursor protein (APP), presenilin-1/2 and apolipoprotein E (APOE) ε4 on brain structural and functional alterations in cognitively normal young adults. MATERIALS AND METHODS Eighty healthy adults (mean age 24.0±2.5years; n=18, APP/presenilin-1/2 group; n=31, APOE ε4 group; n=31, control group [without above-mentioned gene mutation]) underwent high-resolution T1-weighted 3D anatomical imaging, resting-state functional MR imaging and neuropsychological assessments. We used voxel-based morphometry and regional homogeneity (ReHo) algorithms to investigate brain structural and functional changes among three groups, and performed correlation analyses between the brain regions with statistically significant difference and neuropsychological results. RESULTS No brain structural changes were found, however, ReHo values were increased in right parietal-frontal lobes in APOE ε4 group, and decreased in the left middle temporal gyrus in APP/presenilin-1/2 group compared with controls (all P<0.05). Compared with APOE ε4 group, decreased ReHo values of bilateral temporal lobes were shown in APP/presenilin-1/2 group (P<0.05). ReHo values of right superior frontal gyrus in APOE ε4 group positively correlated with neuropsychological tests scores(P<0.05). CONCLUSION Cognitively normal young adults carrying APOE ε4 or APP/presenilin-1/2 had different spontaneous brain activity patterns without cerebral structural differences.
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Affiliation(s)
- Li Juan Zheng
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Yun Yan Su
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Yun Fei Wang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Jianhui Zhong
- Center for Brain Imaging Science and Technology, and Center for Innovative and Collaborative Detection and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310027, China
| | - Xue Liang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Gang Zheng
- College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
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18
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Different Hippocampus Functional Connectivity Patterns in Healthy Young Adults with Mutations of APP/Presenilin-1/2 and APOEε4. Mol Neurobiol 2017; 55:3439-3450. [PMID: 28502043 DOI: 10.1007/s12035-017-0540-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Accepted: 04/07/2017] [Indexed: 10/19/2022]
Abstract
This study aims to explore the hippocampus-based functional connectivity patterns in young, healthy APP and/or presenilin-1/2 mutation carriers and APOE ε4 subjects. Seventy-eight healthy young adults (33 male, mean age 24.0 ± 2.2 years; 18 APP and/or presenilin1/2 mutation carriers [APP/presenilin-1/2 group], 30 APOE ε4 subjects [APOE ε4 group], and 30 subjects without the above-mentioned genes [control group]) underwent resting-state functional MR imaging and neuropsychological assessments. Bilateral hippocampus functional connectivity patterns were compared among three groups. The brain regions with statistical differences were then extracted, and correlation analyses were performed between Z values of the brain regions and neuropsychological results. Compared with control group, both APOE ε4 group and APP/presenilin-1/2 group showed increased functional connectivity in medial prefrontal cortex and precuneus for the seeds of bilateral hippocampi. The APOE ε4 group displayed increased functional connectivity from bilateral hippocampi to the left middle temporal gyrus compared with the control group. Moreover, compared with the APP/presenilin-1/2 group, the APOE ε4 group also had markedly increased functional connectivity in right hippocampus-left middle temporal gyrus. The Z values of right hippocampus-left middle temporal gyrus correlated with various neuropsychological results across all the subjects, as well as in APOE ε4 group. Young healthy adults carrying APOE ε4 and APP/presenilin-1/2 displayed different hippocampus functional connectivity patterns, which may underlie the discrepant mechanisms of gene-modulated cognitive dysfunction in Alzheimer's disease.
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19
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Tentolouris-Piperas V, Ryan NS, Thomas DL, Kinnunen KM. Brain imaging evidence of early involvement of subcortical regions in familial and sporadic Alzheimer's disease. Brain Res 2016; 1655:23-32. [PMID: 27847196 DOI: 10.1016/j.brainres.2016.11.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 11/08/2016] [Accepted: 11/09/2016] [Indexed: 12/15/2022]
Abstract
Recent brain imaging studies have found changes in subcortical regions in presymptomatic autosomal dominant Alzheimer's disease (ADAD). These regions are also affected in sporadic Alzheimer's disease (sAD), but whether such changes are seen in early-stage disease is still uncertain. In this review, we discuss imaging studies published in the past 12 years that have found evidence of subcortical involvement in early-stage ADAD and/or sAD. Several papers have reported amyloid deposition in the striatum of presymptomatic ADAD mutation carriers, prior to amyloid deposition elsewhere. Altered caudate volume has also been implicated in early-stage ADAD, but findings have been variable. Less is known about subcortical involvement in sAD: the thalamus and striatum have been found to be atrophied in symptomatic patients, but their involvement in the preclinical phase remains unclear, in part due to the difficulties of studying this stage in sporadic disease. Longitudinal imaging studies comparing ADAD mutation carriers with individuals at high-risk for sAD may be needed to elucidate the significance of subcortical involvement in different AD clinical stages.
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Affiliation(s)
| | - Natalie S Ryan
- Dementia Research Centre, UCL Institute of Neurology, University College London, Queen Square, London, UK
| | - David L Thomas
- Dementia Research Centre, UCL Institute of Neurology, University College London, Queen Square, London, UK; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, Queen Square, London, UK
| | - Kirsi M Kinnunen
- Dementia Research Centre, UCL Institute of Neurology, University College London, Queen Square, London, UK.
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20
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Paholpak P, Carr AR, Barsuglia JP, Barrows RJ, Jimenez E, Lee GJ, Mendez MF. Person-Based Versus Generalized Impulsivity Disinhibition in Frontotemporal Dementia and Alzheimer Disease. J Geriatr Psychiatry Neurol 2016; 29:344-351. [PMID: 27647788 DOI: 10.1177/0891988716666377] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND While much disinhibition in dementia results from generalized impulsivity, in behavioral variant frontotemporal dementia (bvFTD) disinhibition may also result from impaired social cognition. OBJECTIVE To deconstruct disinhibition and its neural correlates in bvFTD vs. early-onset Alzheimer's disease (eAD). METHODS Caregivers of 16 bvFTD and 21 matched-eAD patients completed the Frontal Systems Behavior Scale disinhibition items. The disinhibition items were further categorized into (1) "person-based" subscale which predominantly associated with violating social propriety and personal boundary and (2) "generalized-impulsivity" subscale which included nonspecific impulsive acts. Subscale scores were correlated with grey matter volumes from tensor-based morphometry on magnetic resonance images. RESULTS In comparison to the eAD patients, the bvFTD patients developed greater person-based disinhibition ( P < 0.001) but comparable generalized impulsivity. Severity of person-based disinhibition significantly correlated with the left anterior superior temporal sulcus (STS), and generalized-impulsivity correlated with the right orbitofrontal cortex (OFC) and the left anterior temporal lobe (aTL). CONCLUSIONS Person-based disinhibition was predominant in bvFTD and correlated with the left STS. In both dementia, violations of social propriety and personal boundaries involved fronto-parieto-temporal network of Theory of Mind, whereas nonspecific disinhibition involved the OFC and aTL.
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Affiliation(s)
- Pongsatorn Paholpak
- 1 Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles, CA, USA.,2 Department of Psychiatry, Khon Kaen University, Khon Kaen, Thailand
| | - Andrew R Carr
- 1 Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles, CA, USA.,3 Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | | | - Robin J Barrows
- 1 Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles, CA, USA.,3 Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Elvira Jimenez
- 1 Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles, CA, USA.,3 Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA.,4 Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, CA, USA
| | - Grace J Lee
- 5 Department of Psychology, School of Behavioral Health, Loma Linda University, Loma Linda, CA, USA
| | - Mario F Mendez
- 1 Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles, CA, USA.,3 Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA.,4 Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, CA, USA
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21
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Panchal H, Paholpak P, Lee G, Carr A, Barsuglia JP, Mather M, Jimenez E, Mendez MF. Neuropsychological and Neuroanatomical Correlates of the Social Norms Questionnaire in Frontotemporal Dementia Versus Alzheimer's Disease. Am J Alzheimers Dis Other Demen 2016; 31:326-32. [PMID: 26646114 PMCID: PMC10852706 DOI: 10.1177/1533317515617722] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Traditional neuropsychological batteries may not distinguish early behavioral variant frontotemporal dementia (bvFTD) from Alzheimer's disease (AD) without the inclusion of a social behavioral measure. We compared 33 participants, 15 bvFTD, and 18 matched patients with early-onset AD (eAD), on the Social Norms Questionnaire (SNQ), neuropsychological tests and 3-dimensional T1-weighted magnetic resonance imaging (MRI). The analyses included correlations of SNQ results (total score, overendorsement or "overadhere" errors, and violations or "break" errors) with neuropsychological results and tensor-based morphometry regions of interest. Patients with BvFTD had significantly lower SNQ total scores and higher overadhere errors than patients with eAD. On neuropsychological measures, the SNQ total scores correlated significantly with semantic knowledge and the overadhere subscores with executive dysfunction. On MRI analysis, the break subscores significantly correlated with lower volume of lateral anterior temporal lobes (aTL). The results also suggest that endorsement of social norm violations corresponds to the role of the right aTL in social semantic knowledge.
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Affiliation(s)
- Hemali Panchal
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA Department of Neurology, Los Angeles, CA, USA
| | - Pongsatorn Paholpak
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA Department of Neurology, Los Angeles, CA, USA Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, CA, USA Department of Psychiatry, Khon Kaen University, Khon Khaen, Thailand
| | - Grace Lee
- Department of Psychology, School of Behavioral Health, Loma Linda, CA, USA
| | - Andrew Carr
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | | | - Michelle Mather
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA Department of Neurology, Los Angeles, CA, USA
| | - Elvira Jimenez
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA Department of Neurology, Los Angeles, CA, USA Department of Psychiatry & Biobehavioral Sciences, Los Angeles, CA, USA
| | - Mario F Mendez
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA Department of Neurology, Los Angeles, CA, USA Department of Psychiatry & Biobehavioral Sciences, Los Angeles, CA, USA
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22
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Wang T, Shi F, Jin Y, Jiang W, Shen D, Xiao S. Abnormal Changes of Brain Cortical Anatomy and the Association with Plasma MicroRNA107 Level in Amnestic Mild Cognitive Impairment. Front Aging Neurosci 2016; 8:112. [PMID: 27242521 PMCID: PMC4870937 DOI: 10.3389/fnagi.2016.00112] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2016] [Accepted: 04/29/2016] [Indexed: 11/17/2022] Open
Abstract
UNLABELLED MicroRNA107 (Mir107) has been thought to relate to the brain structure phenotype of Alzheimer's disease. In this study, we evaluated the cortical anatomy in amnestic mild cognitive impairment (aMCI) and the relation between cortical anatomy and plasma levels of Mir107 and beta-site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1). Twenty aMCI (20 aMCI) and 24 cognitively normal control (NC) subjects were recruited, and T1-weighted MR images were acquired. Cortical anatomical measurements, including cortical thickness (CT), surface area (SA), and local gyrification index (LGI), were assessed. Quantitative RT-PCR was used to examine plasma expression of Mir107, BACE1 mRNA. Thinner cortex was found in aMCI in areas associated with episodic memory and language, but with thicker cortex in other areas. SA decreased in aMCI in the areas associated with working memory and emotion. LGI showed a significant reduction in aMCI in the areas involved in language function. Changes in Mir107 and BACE1 messenger RNA plasma expression were correlated with changes in CT and SA. We found alterations in key left brain regions associated with memory, language, and emotion in aMCI that were significantly correlated with plasma expression of Mir107 and BACE1 mRNA. This combination study of brain anatomical alterations and gene information may shed lights on our understanding of the pathology of AD. CLINICAL TRIAL REGISTRATION http://www.ClinicalTrials.gov, identifier NCT01819545.
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Affiliation(s)
- Tao Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of MedicineShanghai, China
- Alzheimer’s Disease and Related Disorders Center, Shanghai Jiao Tong UniversityShanghai, China
- IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel HillChapel Hill, NC, USA
| | - Feng Shi
- IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel HillChapel Hill, NC, USA
| | - Yan Jin
- IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel HillChapel Hill, NC, USA
| | - Weixiong Jiang
- Alzheimer’s Disease and Related Disorders Center, Shanghai Jiao Tong UniversityShanghai, China
| | - Dinggang Shen
- IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel HillChapel Hill, NC, USA
- Department of Brain and Cognitive Engineering, Korea UniversitySeoul, South Korea
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of MedicineShanghai, China
- Alzheimer’s Disease and Related Disorders Center, Shanghai Jiao Tong UniversityShanghai, China
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23
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Aggleton JP, Pralus A, Nelson AJD, Hornberger M. Thalamic pathology and memory loss in early Alzheimer's disease: moving the focus from the medial temporal lobe to Papez circuit. Brain 2016; 139:1877-90. [PMID: 27190025 PMCID: PMC4939698 DOI: 10.1093/brain/aww083] [Citation(s) in RCA: 240] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 02/26/2016] [Indexed: 11/13/2022] Open
Abstract
It is widely assumed that incipient protein pathology in the medial temporal lobe instigates the loss of episodic memory in Alzheimer’s disease, one of the earliest cognitive deficits in this type of dementia. Within this region, the hippocampus is seen as the most vital for episodic memory. Consequently, research into the causes of memory loss in Alzheimer’s disease continues to centre on hippocampal dysfunction and how disease-modifying therapies in this region can potentially alleviate memory symptomology. The present review questions this entrenched notion by bringing together findings from post-mortem studies, non-invasive imaging (including studies of presymptomatic, at-risk cases) and genetically modified animal models. The combined evidence indicates that the loss of episodic memory in early Alzheimer’s disease reflects much wider neurodegeneration in an extended mnemonic system (Papez circuit), which critically involves the limbic thalamus. Within this system, the anterior thalamic nuclei are prominent, both for their vital contributions to episodic memory and for how these same nuclei appear vulnerable in prodromal Alzheimer’s disease. As thalamic abnormalities occur in some of the earliest stages of the disease, the idea that such changes are merely secondary to medial temporal lobe dysfunctions is challenged. This alternate view is further strengthened by the interdependent relationship between the anterior thalamic nuclei and retrosplenial cortex, given how dysfunctions in the latter cortical area provide some of the earliest
in vivo
imaging evidence of prodromal Alzheimer’s disease. Appreciating the importance of the anterior thalamic nuclei for memory and attention provides a more balanced understanding of Alzheimer’s disease. Furthermore, this refocus on the limbic thalamus, as well as the rest of Papez circuit, would have significant implications for the diagnostics, modelling, and experimental treatment of cognitive symptoms in Alzheimer’s disease.
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Affiliation(s)
- John P Aggleton
- School of Psychology, Cardiff University, Park Place, Cardiff, CF10 3AT, UK
| | - Agathe Pralus
- Master of Biosciences, ENS de Lyon, 46 allée d'Italie, 69007 Lyon, France
| | - Andrew J D Nelson
- School of Psychology, Cardiff University, Park Place, Cardiff, CF10 3AT, UK
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24
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Yi HA, Möller C, Dieleman N, Bouwman FH, Barkhof F, Scheltens P, van der Flier WM, Vrenken H. Relation between subcortical grey matter atrophy and conversion from mild cognitive impairment to Alzheimer's disease. J Neurol Neurosurg Psychiatry 2016; 87:425-32. [PMID: 25904810 DOI: 10.1136/jnnp-2014-309105] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Accepted: 03/30/2015] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate whether subcortical grey matter atrophy predicts progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD), and to compare subcortical volumes between AD, MCI and controls. To assess the correlation between subcortical grey matter volumes and severity of cognitive impairment. METHODS We included 773 participants with three-dimensional T1-weighted MRI at 3 T, made up of 181 controls, who had subjective memory symptoms with normal cognition, 201 MCIs and 391 AD. During follow-up (2.0 ± 0.9 years), 35 MCIs converted to AD (progressive MCI) and 160 MCIs remained stable (stable MCI). We segmented volumes of six subcortical structures of the amygdala, thalamus, caudate nucleus, putamen, globus pallidus and nucleus accumbens, and of the hippocampus, using FMRIBs integrated registration and segmentation tool. RESULTS Analysis of variances, adjusted for sex and age, showed that all structures, except the globus pallidus, were smaller in AD than in controls. In addition, the amygdala, thalamus, putamen, nucleus accumbens and hippocampus were smaller in MCIs than in controls. Across groups, all subcortical greymatter volumes, except the globus pallidus, showed a positive correlation with cognitive function, as measured by Mini Mental State Examination (MMSE) (0.16<r<0.28, all p<0.05). Cox proportional hazards analyses adjusted for age, sex, education, Cambridge Cognitive Examination-Revised (CAMCOG-R) and MMSE showed that smaller volumes of the hippocampus and nucleus accumbens were associated with increased risk of progression from MCI to AD (HR (95% CI) 1.60 (1.15 to 2.21); 1.60 (1.09 to 2.35), p<0.05). CONCLUSIONS In addition to the hippocampus, the nucleus accumbens volume loss was also associated with increased risk of progression from MCI to AD. Furthermore, volume loss of subcortical grey matter structures was associated with severity of cognitive impairment.
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Affiliation(s)
- Hyon-Ah Yi
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands Department of Neurology, Keimyung University School of Medicine, Daegu, South Korea
| | - Christiane Möller
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Nikki Dieleman
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Femke H Bouwman
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands Department of Epidemiology & Biostatistics, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Hugo Vrenken
- Department of Radiology & Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands Department of Physics & Medical Technology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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25
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Barrows RJ, Barsuglia J, Paholpak P, Eknoyan D, Sabodash V, Lee GJ, Mendez MF. Executive Abilities as Reflected by Clock Hand Placement: Frontotemporal Dementia Versus Early-Onset Alzheimer Disease. J Geriatr Psychiatry Neurol 2015; 28:239-48. [PMID: 26251109 DOI: 10.1177/0891988715598228] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The clock-drawing test (CDT) is widely used in clinical practice to diagnose and distinguish patients with dementia. It remains unclear, however, whether the CDT can distinguish among the early-onset dementias. Accordingly, we examined the ability of both quantitative and qualitative CDT analyses to distinguish behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer disease (eAD), the 2 most common neurodegenerative dementias with onset <65 years of age. We hypothesized that executive aspects of the CDT would discriminate between these 2 disorders. The study compared 15 patients with bvFTD and 16 patients with eAD on the CDT using 2 different scales and correlated the findings with neuropsychological testing and magnetic resonance imaging. The total CDT scores did not discriminate bvFTD and eAD; however, specific analysis of executive hand placement items successfully distinguished the groups, with eAD exhibiting greater errors than bvFTD. The performance on those executive hand placement items correlated with measures of naming as well as visuospatial and executive function. On tensor-based morphometry of the magnetic resonance images, executive hand placement correlated with right frontal volume. These findings suggest that lower performance on executive hand placement items occurs with involvement of the right dorsolateral frontal-parietal network for executive control in eAD, a network disproportionately affected in AD of early onset. Rather than the total performance on the clock task, the analysis of specific errors, such as executive hand placement, may be useful for early differentiation of eAD, bvFTD, and other conditions.
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Affiliation(s)
- Robin J Barrows
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Joseph Barsuglia
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Pongsatorn Paholpak
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA Department of Psychiatry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Donald Eknoyan
- Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA Department of Psychiatry, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Valeriy Sabodash
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Grace J Lee
- Department of Psychology, School of Behavioral Health, Loma Linda University, Loma Linda, CA, USA
| | - Mario F Mendez
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
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26
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Zhu QY, Bi SW, Yao XT, Ni ZY, Li Y, Chen BY, Fan GG, Shang XL. Disruption of thalamic connectivity in Alzheimer's disease: a diffusion tensor imaging study. Metab Brain Dis 2015; 30:1295-308. [PMID: 26141074 DOI: 10.1007/s11011-015-9708-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 06/26/2015] [Indexed: 12/15/2022]
Abstract
The aim of this study was to evaluate the structural integrity of the thalamic connectivity of specific fiber tracts in different stages of Alzheimer's disease (AD) using diffusion tensor imaging (DTI). Thirty-five patients with AD and 22 normal control (NC) subjects were recruited. Based on Mini Mental State Examination score, the AD patients were divided into three subgroups for comparison with the NC group: mild (mi-AD, n = 14), moderate (mo-AD, n = 12), and severe (se-AD, n = 9) AD. The fornix (FX), anterior thalamic radiation (ATR), and posterior thalamic radiation (PTR) were selected to represent the thalamic connectivity with other brain regions. The fornix was divided into the column and body of the fornix (FX-1) and the bilateral fornix (crus)/stria terminalis (FX-2/ST) based on the atlas. Through the atlas-based analysis and fiber tracking method, we measured fractional anisotropy (FA), mean diffusivity (MD), and tract volume to reflect the microstructural and macrostructural changes of these fibers during AD progression. There were significant differences in the FA and MD of all fibers, except the right PTR, between the AD and NC subjects. Further subgroup analyses revealed that the mi-AD subgroup had decreased FA only in the FX-1 and increased MD in the FX-1 and bilateral ATR, the mo-AD subgroup showed declined FA and increased MD in the FX-1, bilateral FX-2/ST and ATR; the se-AD subgroup exhibited lower FA and higher MD values in all fibers except the right PTR. We also found reduced tract volume values in the FX and left ATR in the AD patients. Further subgroup analyses revealed that these differences only existed in the se-AD patients. Our DTI analyses indicate that the integrity of thalamic connectivity is progressively disrupted following cognitive decline in AD and that DTI parameters in the column and body of the fornix show promise as potential markers for the early diagnosis of AD and for monitoring disease progression.
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Affiliation(s)
- Qing-Yong Zhu
- Department of Neurology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, People's Republic of China
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27
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Lee GJ, Lu PH, Mather MJ, Shapira J, Jimenez E, Leow AD, Thompson PM, Mendez MF. Neuroanatomical correlates of emotional blunting in behavioral variant frontotemporal dementia and early-onset Alzheimer's disease. J Alzheimers Dis 2015; 41:793-800. [PMID: 24685626 DOI: 10.3233/jad-132219] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Emotional blunting is a characteristic feature of behavioral variant frontotemporal dementia (bvFTD) and can help discriminate between patients with bvFTD and other forms of younger-onset dementia. OBJECTIVE We compared the presence of emotional blunting symptoms in patients with bvFTD and early-onset Alzheimer's disease (AD), and investigated the neuroanatomical associations between emotional blunting and regional brain volume. METHODS Twenty-five individuals with bvFTD (n = 11) and early-onset AD (n = 14) underwent magnetic resonance imaging (MRI) and were rated on symptoms of emotional blunting using the Scale for Emotional Blunting (SEB). The two groups were compared on SEB ratings and MRI-derived brain volume using tensor-based morphometry. Voxel-wise linear regression was performed to determine neuroanatomical correlates of SEB scores. RESULTS The bvFTD group had significantly higher SEB scores compared to the AD group. On MRI, bvFTD patients had smaller bilateral frontal lobe volume compared to AD patients, while AD patients had smaller bilateral temporal and left parietal volume than bvFTD patients. In bvFTD, SEB ratings were strongly correlated with right anterior temporal volume, while the association between SEB and the right orbitofrontal cortex was non-significant. CONCLUSIONS Symptoms of emotional blunting were more prevalent in bvFTD than early-onset AD patients. These symptoms were particularly associated with right-sided atrophy, with significant involvement of the right anterior temporal region. Based on these findings, the SEB appears to measure symptoms of emotional blunting that are localized to the right anterior temporal lobe.
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Affiliation(s)
- Grace J Lee
- Department of Psychology, School of Behavioral Health, Loma Linda University, Loma Linda, CA, USA
| | - Po H Lu
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Michelle J Mather
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Jill Shapira
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Elvira Jimenez
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
| | - Alex D Leow
- Departments of Psychiatry and Bioengineering, University of Illinois, Chicago, IL, USA
| | - Paul M Thompson
- Laboratory of NeuroImaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Mario F Mendez
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Greater Los Angeles VA Healthcare System, West Los Angeles, CA, USA
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28
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Hamilton LK, Dufresne M, Joppé SE, Petryszyn S, Aumont A, Calon F, Barnabé-Heider F, Furtos A, Parent M, Chaurand P, Fernandes KJL. Aberrant Lipid Metabolism in the Forebrain Niche Suppresses Adult Neural Stem Cell Proliferation in an Animal Model of Alzheimer's Disease. Cell Stem Cell 2015; 17:397-411. [PMID: 26321199 DOI: 10.1016/j.stem.2015.08.001] [Citation(s) in RCA: 183] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2014] [Revised: 06/09/2015] [Accepted: 08/02/2015] [Indexed: 11/24/2022]
Abstract
Lipid metabolism is fundamental for brain development and function, but its roles in normal and pathological neural stem cell (NSC) regulation remain largely unexplored. Here, we uncover a fatty acid-mediated mechanism suppressing endogenous NSC activity in Alzheimer's disease (AD). We found that postmortem AD brains and triple-transgenic Alzheimer's disease (3xTg-AD) mice accumulate neutral lipids within ependymal cells, the main support cell of the forebrain NSC niche. Mass spectrometry and microarray analyses identified these lipids as oleic acid-enriched triglycerides that originate from niche-derived rather than peripheral lipid metabolism defects. In wild-type mice, locally increasing oleic acid was sufficient to recapitulate the AD-associated ependymal triglyceride phenotype and inhibit NSC proliferation. Moreover, inhibiting the rate-limiting enzyme of oleic acid synthesis rescued proliferative defects in both adult neurogenic niches of 3xTg-AD mice. These studies support a pathogenic mechanism whereby AD-induced perturbation of niche fatty acid metabolism suppresses the homeostatic and regenerative functions of NSCs.
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Affiliation(s)
- Laura K Hamilton
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Martin Dufresne
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montreal, QC H3C 3J7, Canada
| | - Sandra E Joppé
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Sarah Petryszyn
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Quebec City, QC G1J 2G3, Canada
| | - Anne Aumont
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Frédéric Calon
- Faculty of Pharmacy, Université Laval, Quebec City, QC G1V 0A6, Canada; CHU-Q Research Center, Quebec City, QC G1V 4G2, Canada
| | | | - Alexandra Furtos
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montreal, QC H3C 3J7, Canada
| | - Martin Parent
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Quebec City, QC G1J 2G3, Canada
| | - Pierre Chaurand
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montreal, QC H3C 3J7, Canada
| | - Karl J L Fernandes
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada.
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29
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Abstract
OBJECTIVE This review provides a brief account of the clinically relevant functional neuroanatomy of the thalamus, before considering the utility of various modalities utilized to image the thalamus and technical challenges therein, and going on to provide an overview of studies utilizing structural imaging techniques to map thalamic morphology in the spectrum of neurodegenerative disorders. METHODS A systematic search was conducted for peer-reviewed studies involving structural neuroimaging modalities investigating the morphology (shape and/or size) of the thalamus in the spectrum of neurodegenerative disorders. RESULTS While the precise role of the thalamus in the healthy brain remains unclear, there is a large body of knowledge accumulating which defines more precisely its functional connectivity within the connectome, and a burgeoning literature implicating its involvement in neurodegenerative disorders. It is proposed that correlation of clinical features with thalamic morphology (as a component of a quantifiable subcortical connectome) will provide a better understanding of neuropsychiatric dysfunction in various neurodegenerative disorders, potentially yielding clinically useful endophenotypes and disease biomarkers. CONCLUSION Thalamic biomarkers in the neurodegenerative disorders have great potential to provide clinically meaningful knowledge regarding not only disease onset and progression but may yield targets of and perhaps a way of gauging response to future disease-modifying modalities.
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Affiliation(s)
- Brian D Power
- School of Medicine Fremantle, The University of Notre Dame Australia, Fremantle, WA, Australia Clinical Research Centre, North Metropolitan Health Service - Mental Health, Perth, WA, Australia
| | - Jeffrey C L Looi
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, ACT, Australia
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30
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Fleisher AS, Chen K, Quiroz YT, Jakimovich LJ, Gutierrez Gomez M, Langois CM, Langbaum JBS, Roontiva A, Thiyyagura P, Lee W, Ayutyanont N, Lopez L, Moreno S, Muñoz C, Tirado V, Acosta-Baena N, Fagan AM, Giraldo M, Garcia G, Huentelman MJ, Tariot PN, Lopera F, Reiman EM. Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study. JAMA Neurol 2015; 72:316-24. [PMID: 25580592 DOI: 10.1001/jamaneurol.2014.3314] [Citation(s) in RCA: 134] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Age-associated changes in brain imaging and fluid biomarkers are characterized and compared in presenilin 1 (PSEN1)E280A mutation carriers and noncarriers from the world's largest known autosomal dominant Alzheimer disease (AD) kindred. OBJECTIVE To characterize and compare age-associated changes in brain imaging and fluid biomarkers in PSEN1 E280A mutation carriers and noncarriers. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional measures of 18F-florbetapir positron emission tomography, 18F-fludeoxyglucose positron emission tomography, structural magnetic resonance imaging, cerebrospinal fluid (CSF), and plasma biomarkers of AD were assessed from 54 PSEN1 E280A kindred members (age range, 20-59 years). MAIN OUTCOMES AND MEASURES We used brain mapping algorithms to compare regional cerebral metabolic rates for glucose and gray matter volumes in cognitively unimpaired mutation carriers and noncarriers. We used regression analyses to characterize associations between age and the mean cortical to pontine 18F-florbetapir standard uptake value ratios, precuneus cerebral metabolic rates for glucose, hippocampal gray matter volume, CSF Aβ1-42, total tau and phosphorylated tau181, and plasma Aβ measurements. Age at onset of progressive biomarker changes that distinguish carriers from noncarriers was estimated using best-fitting regression models. RESULTS Compared with noncarriers, cognitively unimpaired mutation carriers had significantly lower precuneus cerebral metabolic rates for glucose, smaller hippocampal volume, lower CSF Aβ1-42, higher CSF total tau and phosphorylated tau181, and higher plasma Aβ1-42 measurements. Sequential changes in biomarkers were seen at age 20 years (95% CI, 14-24 years) for CSF Aβ1-42, age 16 years (95% CI, 11-24 years) for the mean cortical 18F-florbetapir standard uptake value ratio, age 15 years (95% CI, 10-24 years) for precuneus cerebral metabolic rate for glucose, age 15 years (95% CI, 7-20 years) for CSF total tau, age 13 years (95% CI, 8-19 years) for phosphorylated tau181, and age 6 years (95% CI, 1-10 years) for hippocampal volume, with cognitive decline up to 6 years before the kindred's estimated median age of 44 years (95% CI, 43-45 years) at mild cognitive impairment diagnosis. No age-associated findings were seen in plasma Aβ1-42 or Aβ1-40. CONCLUSIONS AND RELEVANCE This cross-sectional study provides additional information about the course of different AD biomarkers in the preclinical and clinical stages of autosomal dominant AD.
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Affiliation(s)
- Adam S Fleisher
- Eli Lilly and Company, Indianapolis, Indiana2Department of Neurosciences, University of California, San Diego3Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona
| | - Kewei Chen
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona5Department of Mathematics and Statistics, Arizona State University, Tempe
| | - Yakeel T Quiroz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston7Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | | | | | | | - Jessica B S Langbaum
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona
| | - Auttawut Roontiva
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona
| | - Pradeep Thiyyagura
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona
| | - Wendy Lee
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona
| | - Napatkamon Ayutyanont
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona
| | - Liliana Lopez
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Sonia Moreno
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Claudia Muñoz
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Victoria Tirado
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | | | - Anne M Fagan
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Margarita Giraldo
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Gloria Garcia
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Matthew J Huentelman
- Arizona Alzheimer's Consortium, Phoenix6Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Pierre N Tariot
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona9Department of Psychiatry, University of Arizona, Phoenix
| | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Eric M Reiman
- Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona9Department of Psychiatry, University of Arizona, Phoenix10Division of Neurogenomics, Translational Genomics Research Institute, Phoenix, Arizona
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Validation of a protocol for manual segmentation of the thalamus on magnetic resonance imaging scans. Psychiatry Res 2015; 232:98-105. [PMID: 25752844 DOI: 10.1016/j.pscychresns.2015.02.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 10/14/2014] [Accepted: 02/04/2015] [Indexed: 01/18/2023]
Abstract
We present a validated protocol for manual segmentation of the thalamus on T1-weighted magnetic resonance imaging (MRI) scans using brain image analysis software. The MRI scans of five normal control subjects were randomly selected from a larger cohort recruited from Lund University Hospital and Landskrona Hospital, Sweden. MRIs were performed using a 3.0T Philips MR scanner, with an eight-channel head coil, and high resolution images were acquired using a T1-weighted turbo field echo (T1 TFE) pulse sequence, with resulting voxel size 1×1×1 mm3. Manual segmentation of the left and right thalami and volume measurement was performed on 28-30 contiguous coronal slices, using ANALYZE 11.0 software. Reliability of image analysis was performed by measuring intra-class correlations between initial segmentation and random repeated segmentation of the left and right thalami (in total 10 thalami for segmentation); inter-rater reliability was measured using volumes obtained by two other experienced tracers. Intra-class correlations for two independent raters were 0.95 and 0.98; inter-class correlations between the expert rater and two independent raters were 0.92 and 0.98. We anticipate that mapping thalamic morphology in various neuropsychiatric disorders may yield clinically useful disease-specific biomarkers.
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Hossini AM, Megges M, Prigione A, Lichtner B, Toliat MR, Wruck W, Schröter F, Nuernberg P, Kroll H, Makrantonaki E, Zouboulis CC, Zoubouliss CC, Adjaye J. Induced pluripotent stem cell-derived neuronal cells from a sporadic Alzheimer's disease donor as a model for investigating AD-associated gene regulatory networks. BMC Genomics 2015; 16:84. [PMID: 25765079 PMCID: PMC4344782 DOI: 10.1186/s12864-015-1262-5] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Accepted: 01/22/2015] [Indexed: 02/07/2023] Open
Abstract
Background Alzheimer’s disease (AD) is a complex, irreversible neurodegenerative disorder. At present there are neither reliable markers to diagnose AD at an early stage nor therapy. To investigate underlying disease mechanisms, induced pluripotent stem cells (iPSCs) allow the generation of patient-derived neuronal cells in a dish. Results In this study, employing iPS technology, we derived and characterized iPSCs from dermal fibroblasts of an 82-year-old female patient affected by sporadic AD. The AD-iPSCs were differentiated into neuronal cells, in order to generate disease-specific protein association networks modeling the molecular pathology on the transcriptome level of AD, to analyse the reflection of the disease phenotype in gene expression in AD-iPS neuronal cells, in particular in the ubiquitin-proteasome system (UPS), and to address expression of typical AD proteins. We detected the expression of p-tau and GSK3B, a physiological kinase of tau, in neuronal cells derived from AD-iPSCs. Treatment of neuronal cells differentiated from AD-iPSCs with an inhibitor of γ-secretase resulted in the down-regulation of p-tau. Transcriptome analysis of AD-iPS derived neuronal cells revealed significant changes in the expression of genes associated with AD and with the constitutive as well as the inducible subunits of the proteasome complex. The neuronal cells expressed numerous genes associated with sub-regions within the brain thus suggesting the usefulness of our in-vitro model. Moreover, an AD-related protein interaction network composed of APP and GSK3B among others could be generated using neuronal cells differentiated from two AD-iPS cell lines. Conclusions Our study demonstrates how an iPSC-based model system could represent (i) a tool to study the underlying molecular basis of sporadic AD, (ii) a platform for drug screening and toxicology studies which might unveil novel therapeutic avenues for this debilitating neuronal disorder. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1262-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Amir M Hossini
- Departments of Dermatology, Venereology, Allergology and Immunology, Dessau Medical Center, 06847, Dessau, Germany.
| | - Matthias Megges
- Institute for Stem Cell Research and Regenerative Medicine, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany. .,Molecular Embryology and Aging Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany. .,Department of Biology, Chemistry and Pharmacy, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Thielallee 63, 14195, Berlin, Germany.
| | - Alessandro Prigione
- Institute for Stem Cell Research and Regenerative Medicine, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany. .,Current address: Max Delbrueck Center for Molecular Medicine (MDC), Robert Roessle Str. 10, D-13125, Berlin, Germany.
| | - Bjoern Lichtner
- Institute for Stem Cell Research and Regenerative Medicine, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany.
| | - Mohammad R Toliat
- Cologne Center for Genomics (CCG), Institute for Genetics, University of Cologne, 50931, Cologne, Germany.
| | - Wasco Wruck
- Molecular Embryology and Aging Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany.
| | - Friederike Schröter
- Molecular Embryology and Aging Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany.
| | - Peter Nuernberg
- Cologne Center for Genomics (CCG), Institute for Genetics, University of Cologne, 50931, Cologne, Germany.
| | - Hartmut Kroll
- Institute for Transfusion Medicine Dessau, Red Cross Blood Transfusion Service NSTOB, 06847, Dessau, Germany.
| | - Eugenia Makrantonaki
- Departments of Dermatology, Venereology, Allergology and Immunology, Dessau Medical Center, 06847, Dessau, Germany. .,Geriatrics Research Group, Department of Geriatric Medicine, Charité Universitätsmedizin Berlin, Reinickendorfer Str. 61, 13447, Berlin, Germany.
| | | | - Christos C Zoubouliss
- Departments of Dermatology, Venereology, Allergology and Immunology, Dessau Medical Center, 06847, Dessau, Germany.
| | - James Adjaye
- Institute for Stem Cell Research and Regenerative Medicine, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany. .,Molecular Embryology and Aging Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany.
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Cash DM, Rohrer JD, Ryan NS, Ourselin S, Fox NC. Imaging endpoints for clinical trials in Alzheimer's disease. Alzheimers Res Ther 2014; 6:87. [PMID: 25621018 PMCID: PMC4304258 DOI: 10.1186/s13195-014-0087-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
As the need to develop a successful disease-modifying treatment for Alzheimer's disease (AD) becomes more urgent, imaging is increasingly used in therapeutic trials. We provide an overview of how the different imaging modalities are used in AD studies and the current regulatory guidelines for their use in clinical trials as endpoints. We review the current literature for results of imaging endpoints of efficacy and safety in published clinical trials. We start with trials in mild to moderate AD, where imaging (largely magnetic resonance imaging (MRI)) has long played a role in inclusion and exclusion criteria; more recently, MRI has been used to identify adverse events and to measure rates of brain atrophy. The advent of amyloid imaging using positron emission tomography has led to trials incorporating amyloid measurements as endpoints and incidentally to the recognition of the high proportion of amyloid-negative individuals that may be recruited into these trials. Ongoing and planned trials now commonly include multimodality imaging: amyloid positron emission tomography, MRI and other modalities. At the same time, the failure of recent large profile trials in mild to moderate AD together with the realisation that there is a long prodromal period to AD has driven a push to move studies to earlier in the disease. Imaging has particularly important roles, alongside other biomarkers, in assessing efficacy because conventional clinical outcomes may have limited ability to detect treatment effects in these early stages.
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Affiliation(s)
- David M Cash
- />Dementia Research Centre, Box 16, The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG UK
- />Translational Imaging Group, Centre for Medical Image Computing, University College of London, 3rd Floor, Wolfson House, 4 Stephenson Way, London, NW1 2HE UK
| | - Jonathan D Rohrer
- />Dementia Research Centre, Box 16, The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG UK
| | - Natalie S Ryan
- />Dementia Research Centre, Box 16, The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG UK
| | - Sebastien Ourselin
- />Dementia Research Centre, Box 16, The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG UK
- />Translational Imaging Group, Centre for Medical Image Computing, University College of London, 3rd Floor, Wolfson House, 4 Stephenson Way, London, NW1 2HE UK
| | - Nick C Fox
- />Dementia Research Centre, Box 16, The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG UK
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Bagnoli S, Piaceri I, Sorbi S, Nacmias B. Advances in imaging-genetic relationships for Alzheimer's disease: clinical implications. Neurodegener Dis Manag 2014; 4:73-81. [PMID: 24640981 DOI: 10.2217/nmt.13.68] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and represents a major public health problem. From a clinical perspective, AD is devastating to patients and their families. The genetic approach to the study of dementia undoubtedly continues to provide a significant contribution to understanding the pathogenesis, diagnosis and therapeutic perspectives, but also raises important ethical implications. With advances in new technology, including genetics and PET/MRI scanning, the role of genetic studies and neuroimaging is being redefined as an aid in the clinical diagnosis of AD, and also in presymptomatic evaluation. Here, we review some of the issues related to the neuroimaging-genetic relationship in AD with a possible clinical implication as a preclinical biomarker for dementia and also for tracking disease progression.
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Affiliation(s)
- Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research & Child Health, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy
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Shinohara M, Fujioka S, Murray ME, Wojtas A, Baker M, Rovelet-Lecrux A, Rademakers R, Das P, Parisi JE, Graff-Radford NR, Petersen RC, Dickson DW, Bu G. Regional distribution of synaptic markers and APP correlate with distinct clinicopathological features in sporadic and familial Alzheimer's disease. ACTA ACUST UNITED AC 2014; 137:1533-49. [PMID: 24625695 DOI: 10.1093/brain/awu046] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Recent studies suggest that subcortical structures, including striatum, are vulnerable to amyloid-β accumulation and other neuropathological features in familial Alzheimer's disease due to autosomal dominant mutations. We explored differences between familial and sporadic Alzheimer's disease that might shed light on their respective pathogenic mechanisms. To this end, we analysed 12 brain regions, including neocortical, limbic and subcortical areas, from post-mortem brains of familial Alzheimer's disease (n = 10; age at death: 50.0 ± 8.6 years) with mutations in amyloid precursor protein (APP) or presenilin 1 (PSEN1), sporadic Alzheimer's disease (n = 19; age at death: 84.7 ± 7.8 years), neurologically normal elderly without amyloid-β accumulation (normal ageing; n = 13, age at death: 82.9 ± 10.8 years) and neurologically normal elderly with extensive cortical amyloid-β deposits (pathological ageing; n = 15; age at death: 92.7 ± 5.9 years). The levels of amyloid-β₄₀, amyloid-β₄₂, APP, apolipoprotein E, the synaptic marker PSD95 (now known as DLG4), the astrocyte marker GFAP, other molecules related to amyloid-β metabolism, and tau were determined by enzyme-linked immunosorbent assays. We observed that familial Alzheimer's disease had disproportionate amyloid-β₄₂ accumulation in subcortical areas compared with sporadic Alzheimer's disease, whereas sporadic Alzheimer's disease had disproportionate amyloid-β₄₂ accumulation in cortical areas compared to familial Alzheimer's disease. Compared with normal ageing, the levels of several proteins involved in amyloid-β metabolism were significantly altered in both sporadic and familial Alzheimer's disease; however, such changes were not present in pathological ageing. Among molecules related to amyloid-β metabolism, the regional distribution of PSD95 strongly correlated with the regional pattern of amyloid-β₄₂ accumulation in sporadic Alzheimer's disease and pathological ageing, whereas the regional distribution of APP as well as β-C-terminal fragment of APP were strongly associated with the regional pattern of amyloid-β₄₂ accumulation in familial Alzheimer's disease. Apolipoprotein E and GFAP showed negative regional association with amyloid-β (especially amyloid-β₄₀) accumulation in both sporadic and familial Alzheimer's disease. Familial Alzheimer's disease had greater striatal tau pathology than sporadic Alzheimer's disease. In a retrospective medical record review, atypical signs and symptoms were more frequent in familial Alzheimer's disease compared with sporadic Alzheimer's disease. These results suggest that disproportionate amyloid-β₄₂ accumulation in cortical areas in sporadic Alzheimer's disease may be mediated by synaptic processes, whereas disproportionate amyloid-β₄₂ accumulation in subcortical areas in familial Alzheimer's disease may be driven by APP and its processing. Region-specific amyloid-β₄₂ accumulation might account for differences in the relative amounts of tau pathology and clinical symptoms in familial and sporadic Alzheimer's disease.
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Pilotto A, Padovani A, Borroni B. Clinical, biological, and imaging features of monogenic Alzheimer's Disease. BIOMED RESEARCH INTERNATIONAL 2013; 2013:689591. [PMID: 24377094 PMCID: PMC3860086 DOI: 10.1155/2013/689591] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 11/04/2013] [Indexed: 01/15/2023]
Abstract
The discovery of monogenic forms of Alzheimer's Disease (AD) associated with mutations within PSEN1, PSEN2, and APP genes is giving a big contribution in the understanding of the underpinning mechanisms of this complex disorder. Compared with sporadic form, the phenotype associated with monogenic cases is somewhat broader including behavioural disturbances, epilepsy, myoclonus, and focal presentations. Structural and functional imaging show typical early changes also in presymptomatic monogenic carriers. Amyloid imaging and CSF tau/A β ratio may be useful in the differential diagnosis with other neurodegenerative dementias, especially, in early onset cases. However, to date any specific biomarkers of different monogenic cases have been identified. Thus, in clinical practice, the early identification is often difficult, but the copresence of different elements could help in recognition. This review will focus on the clinical and instrumental markers useful for the very early identification of AD monogenic cases, pivotal in the development, and evaluation of disease-modifying therapy.
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Affiliation(s)
- Andrea Pilotto
- Clinica Neurologica, Università degli Studi di Brescia, Pza Spedali Civili, 1-25100 Brescia, Italy
| | - Alessandro Padovani
- Clinica Neurologica, Università degli Studi di Brescia, Pza Spedali Civili, 1-25100 Brescia, Italy
| | - Barbara Borroni
- Clinica Neurologica, Università degli Studi di Brescia, Pza Spedali Civili, 1-25100 Brescia, Italy
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Regional variability of imaging biomarkers in autosomal dominant Alzheimer's disease. Proc Natl Acad Sci U S A 2013; 110:E4502-9. [PMID: 24194552 DOI: 10.1073/pnas.1317918110] [Citation(s) in RCA: 280] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Major imaging biomarkers of Alzheimer's disease include amyloid deposition [imaged with [(11)C]Pittsburgh compound B (PiB) PET], altered glucose metabolism (imaged with [(18)F]fluro-deoxyglucose PET), and structural atrophy (imaged by MRI). Recently we published the initial subset of imaging findings for specific regions in a cohort of individuals with autosomal dominant Alzheimer's disease. We now extend this work to include a larger cohort, whole-brain analyses integrating all three imaging modalities, and longitudinal data to examine regional differences in imaging biomarker dynamics. The anatomical distribution of imaging biomarkers is described in relation to estimated years from symptom onset. Autosomal dominant Alzheimer's disease mutation carrier individuals have elevated PiB levels in nearly every cortical region 15 y before the estimated age of onset. Reduced cortical glucose metabolism and cortical thinning in the medial and lateral parietal lobe appeared 10 and 5 y, respectively, before estimated age of onset. Importantly, however, a divergent pattern was observed subcortically. All subcortical gray-matter regions exhibited elevated PiB uptake, but despite this, only the hippocampus showed reduced glucose metabolism. Similarly, atrophy was not observed in the caudate and pallidum despite marked amyloid accumulation. Finally, before hypometabolism, a hypermetabolic phase was identified for some cortical regions, including the precuneus and posterior cingulate. Additional analyses of individuals in which longitudinal data were available suggested that an accelerated appearance of volumetric declines approximately coincides with the onset of the symptomatic phase of the disease.
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Cash DM, Ridgway GR, Liang Y, Ryan NS, Kinnunen KM, Yeatman T, Malone IB, Benzinger TLS, Jack CR, Thompson PM, Ghetti BF, Saykin AJ, Masters CL, Ringman JM, Salloway SP, Schofield PR, Sperling RA, Cairns NJ, Marcus DS, Xiong C, Bateman RJ, Morris JC, Rossor MN, Ourselin S, Fox NC. The pattern of atrophy in familial Alzheimer disease: volumetric MRI results from the DIAN study. Neurology 2013; 81:1425-33. [PMID: 24049139 PMCID: PMC3806583 DOI: 10.1212/wnl.0b013e3182a841c6] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 07/15/2013] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE To assess regional patterns of gray and white matter atrophy in familial Alzheimer disease (FAD) mutation carriers. METHODS A total of 192 participants with volumetric T1-weighted MRI, genotyping, and clinical diagnosis were available from the Dominantly Inherited Alzheimer Network. Of these, 69 were presymptomatic mutation carriers, 50 were symptomatic carriers (31 with Clinical Dementia Rating [CDR] = 0.5, 19 with CDR > 0.5), and 73 were noncarriers from the same families. Voxel-based morphometry was used to identify cross-sectional group differences in gray matter and white matter volume. RESULTS Significant differences in gray matter (p < 0.05, family-wise error-corrected) were observed between noncarriers and mildly symptomatic (CDR = 0.5) carriers in the thalamus and putamen, as well as in the temporal lobe, precuneus, and cingulate gyrus; the same pattern, but with more extensive changes, was seen in those with CDR > 0.5. Significant white matter differences between noncarriers and symptomatic carriers were observed in the cingulum and fornix; these form input and output connections to the medial temporal lobe, cingulate, and precuneus. No differences between noncarriers and presymptomatic carriers survived correction for multiple comparisons, but there was a trend for decreased gray matter in the thalamus for carriers closer to their estimated age at onset. There were no significant increases of gray or white matter in asymptomatic or symptomatic carriers compared to noncarriers. CONCLUSIONS Atrophy in FAD is observed early, both in areas commonly associated with sporadic Alzheimer disease and also in the putamen and thalamus, 2 regions associated with early amyloid deposition in FAD mutation carriers.
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Affiliation(s)
- David M Cash
- From the Dementia Research Centre (D.M.C., Y.L., N.S.R., K.M.K., T.Y., I.B.M., M.N.R., S.O., N.C.F.) and Wellcome Trust Centre for Neuroimaging (G.R.R.), UCL Institute of Neurology, London, UK; Washington University School of Medicine (T.L.S.B., N.J.C., D.S.M., C.X., R.J.B., J.C.M.), St. Louis, MO; Mayo Clinic (C.R.J.), Rochester, MN; Imaging Genetics Center (P.M.T.), Laboratory of Neuroimaging, Department of Neurology & Psychiatry, UCLA School of Medicine, Los Angeles, CA; Indiana University School of Medicine (B.F.G., A.J.S.), Indianapolis; Mental Health Research Institute (C.L.M.), The University Of Melbourne, Victoria, Australia; Mary S. Easton Center for Alzheimer's Disease (J.M.R.), UCLA Department of Neurology, Los Angeles, CA; Butler Hospital (S.P.S.), Providence, RI; Neuroscience Research Australia (P.R.S.), Sydney; and the Center for Alzheimer Research and Treatment (R.A.S.), Brigham and Women's Hospital, Cambridge, MA
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Impaired structural correlates of memory in Alzheimer's disease mice. NEUROIMAGE-CLINICAL 2013; 3:290-300. [PMID: 24273714 PMCID: PMC3814975 DOI: 10.1016/j.nicl.2013.08.017] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Revised: 08/14/2013] [Accepted: 08/30/2013] [Indexed: 12/27/2022]
Abstract
The healthy adult brain demonstrates robust learning-induced neuroanatomical plasticity. While altered neuroanatomical plasticity is suspected to be a factor mitigating the progressive cognitive decline in Alzheimer's disease (AD), it is not known to what extent this plasticity is affected by AD. We evaluated whether spatial learning and memory-induced neuroanatomical plasticity are diminished in an adult mouse model of AD (APP mice) featuring amyloid beta-driven cognitive and cerebrovascular dysfunction. We also evaluated the effect of early, long-term pioglitazone-treatment on functional hyperemia, spatial learning and memory, and associated neuroanatomical plasticity. Using high-resolution post-mortem MRI and deformation-based morphometry, we demonstrate spatial learning and memory-induced focal volume increase in the hippocampus of wild-type mice, an effect that was severely attenuated in APP mice, consistent with their unsuccessful performance in the spatial Morris water maze. These findings implicate impaired neuroanatomical plasticity as an important contributing factor to cognitive deficits in the APP mouse model of AD. Pioglitazone-treatment in APP mice completely rescued functional hyperemia and exerted beneficial effects on spatial learning and memory-recall, but it did not improve hippocampal plasticity.
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Fleischman DA, Leurgans S, Arfanakis K, Arvanitakis Z, Barnes LL, Boyle PA, Han SD, Bennett DA. Gray-matter macrostructure in cognitively healthy older persons: associations with age and cognition. Brain Struct Funct 2013; 219:2029-49. [PMID: 23955313 DOI: 10.1007/s00429-013-0622-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Accepted: 07/29/2013] [Indexed: 10/26/2022]
Abstract
A deeper understanding of brain macrostructure and its associations with cognition in persons who are considered cognitively healthy is critical to the early detection of persons at risk of developing dementia. Few studies have examined the associations of all three gray-matter macrostructural brain indices (volume, thickness, surface area) with age and cognition, in the same persons who are over the age of 65 and do not have cognitive impairment. We performed automated morphometric reconstruction of total gray matter, cortical gray matter, subcortical gray matter and 84 individual regions in 186 persons (60 % over the age of 80) without cognitive impairment. Morphometric measures were scaled and expressed as difference per decade of age and an adjusted score was created to identify those regions in which there was greater atrophy per decade of age compared to cortical or subcortical brain averages. The results showed that there is substantial total volume loss and cortical thinning in cognitively healthy older persons. Thinning was more widespread than volume loss, but volume loss, particularly in temporoparietal and hippocampal regions, was more strongly associated with cognition.
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Affiliation(s)
- Debra A Fleischman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Armour Academic Center Offices, 600 S. Paulina Suite 1038, 1653 W. Congress Parkway, Chicago, IL, 60612, USA,
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Kaiser NC, Lee GJ, Lu PH, Mather MJ, Shapira J, Jimenez E, Thompson PM, Mendez MF. What dementia reveals about proverb interpretation and its neuroanatomical correlates. Neuropsychologia 2013; 51:1726-33. [PMID: 23747602 DOI: 10.1016/j.neuropsychologia.2013.05.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Revised: 05/10/2013] [Accepted: 05/28/2013] [Indexed: 10/26/2022]
Abstract
OBJECTIVE Neuropsychologists frequently include proverb interpretation as a measure of executive abilities. A concrete interpretation of proverbs, however, may reflect semantic impairments from anterior temporal lobes, rather than executive dysfunction from frontal lobes. The investigation of proverb interpretation among patients with different dementias with varying degrees of temporal and frontal dysfunction may clarify the underlying brain-behavior mechanisms for abstraction from proverbs. We propose that patients with behavioral variant frontotemporal dementia (bvFTD), who are characteristically more impaired on proverb interpretation than those with Alzheimer's disease (AD), are disproportionately impaired because of anterior temporal-mediated semantic deficits. METHODS Eleven patients with bvFTD and 10 with AD completed the Delis-Kaplan Executive Function System (D-KEFS) Proverbs Test and a series of neuropsychological measures of executive and semantic functions. The analysis included both raw and age-adjusted normed data for multiple choice responses on the D-KEFS Proverbs Test using independent samples t-tests. Tensor-based morphometry (TBM) applied to 3D T1-weighted MRI scans mapped the association between regional brain volume and proverb performance. Computations of mean Jacobian values within select regions of interest provided a numeric summary of regional volume, and voxel-wise regression yielded 3D statistical maps of the association between tissue volume and proverb scores. RESULTS The patients with bvFTD were significantly worse than those with AD in proverb interpretation. The worse performance of the bvFTD patients involved a greater number of concrete responses to common, familiar proverbs, but not to uncommon, unfamiliar ones. These concrete responses to common proverbs correlated with semantic measures, whereas concrete responses to uncommon proverbs correlated with executive functions. After controlling for dementia diagnosis, TBM analyses indicated significant correlations between impaired proverb interpretation and the anterior temporal lobe region (left>right). CONCLUSIONS Among two dementia groups, those with bvFTD, demonstrated a greater number of concrete responses to common proverbs compared to those with AD, and this performance correlated with semantic deficits and the volume of the left anterior lobe, the hub of semantic knowledge. The findings of this study suggest that common proverb interpretation is greatly influenced by semantic dysfunction and that the use of proverbs for testing executive functions needs to include the interpretation of unfamiliar proverbs.
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Affiliation(s)
- Natalie C Kaiser
- VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA.
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Ryan NS, Keihaninejad S, Shakespeare TJ, Lehmann M, Crutch SJ, Malone IB, Thornton JS, Mancini L, Hyare H, Yousry T, Ridgway GR, Zhang H, Modat M, Alexander DC, Rossor MN, Ourselin S, Fox NC. Magnetic resonance imaging evidence for presymptomatic change in thalamus and caudate in familial Alzheimer's disease. Brain 2013; 136:1399-414. [PMID: 23539189 PMCID: PMC3634199 DOI: 10.1093/brain/awt065] [Citation(s) in RCA: 154] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Revised: 01/29/2013] [Accepted: 01/31/2013] [Indexed: 01/06/2023] Open
Abstract
Amyloid imaging studies of presymptomatic familial Alzheimer's disease have revealed the striatum and thalamus to be the earliest sites of amyloid deposition. This study aimed to investigate whether there are associated volume and diffusivity changes in these subcortical structures during the presymptomatic and symptomatic stages of familial Alzheimer's disease. As the thalamus and striatum are involved in neural networks subserving complex cognitive and behavioural functions, we also examined the diffusion characteristics in connecting white matter tracts. A cohort of 20 presenilin 1 mutation carriers underwent volumetric and diffusion tensor magnetic resonance imaging, neuropsychological and clinical assessments; 10 were symptomatic, 10 were presymptomatic and on average 5.6 years younger than their expected age at onset; 20 healthy control subjects were also studied. We conducted region of interest analyses of volume and diffusivity changes in the thalamus, caudate, putamen and hippocampus and examined diffusion behaviour in the white matter tracts of interest (fornix, cingulum and corpus callosum). Voxel-based morphometry and tract-based spatial statistics were also used to provide unbiased whole-brain analyses of group differences in volume and diffusion indices, respectively. We found that reduced volumes of the left thalamus and bilateral caudate were evident at a presymptomatic stage, together with increased fractional anisotropy of bilateral thalamus and left caudate. Although no significant hippocampal volume loss was evident presymptomatically, reduced mean diffusivity was observed in the right hippocampus and reduced mean and axial diffusivity in the right cingulum. In contrast, symptomatic mutation carriers showed increased mean, axial and in particular radial diffusivity, with reduced fractional anisotropy, in all of the white matter tracts of interest. The symptomatic group also showed atrophy and increased mean diffusivity in all of the subcortical grey matter regions of interest, with increased fractional anisotropy in bilateral putamen. We propose that axonal injury may be an early event in presymptomatic Alzheimer's disease, causing an initial fall in axial and mean diffusivity, which then increases with loss of axonal density. The selective degeneration of long-coursing white matter tracts, with relative preservation of short interneurons, may account for the increase in fractional anisotropy that is seen in the thalamus and caudate presymptomatically. It may be owing to their dense connectivity that imaging changes are seen first in the thalamus and striatum, which then progress to involve other regions in a vulnerable neuronal network.
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Affiliation(s)
- Natalie S Ryan
- Dementia Research Centre, Box 16 National Hospital for Neurology and Neurosugery, Queen Square, London WC1N 3BG, UK.
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Abstract
Patients with Alzheimer's disease (AD), the most prevalent neurodegenerative dementia, are usually elderly; however, ∼4-5% develop early-onset AD (EOAD) with onset before age 65. Most EOAD is sporadic, but about 5% of patients with EOAD have an autosomal dominant mutation such as Presenilin 1, Presenilin 2, or alterations in the Amyloid Precursor Protein gene. Although most Alzheimer's research has concentrated on older, late-onset AD (LOAD), there is much recent interest and research in EOAD. These recent studies indicate that EOAD is a heterogeneous disorder with significant differences from LOAD. From 22-64% of EOAD patients have a predominant nonamnestic syndrome presenting with deficits in language, visuospatial abilities, praxis, or other non-memory cognition. These nonamnestic patients may differ in several ways from the usual memory or amnestic patients. Patients with nonamnestic EOAD compared to typical amnestic AD have a more aggressive course, lack the apolipoprotein Eɛ4 (APOE ɛ4) susceptibility gene for AD, and have a focus and early involvement of non-hippocampal areas of brain, particularly parietal neocortex. These differences in the EOAD subtypes indicate differences in the underlying amyloid cascade, the prevailing pathophysiological theory for the development of AD. Together the results of recent studies suggest that nonamnestic subtypes of EOAD constitute a Type 2 AD distinct from the usual, typical disorder. In sum, the study of EOAD can reveal much about the clinical heterogeneity, predisposing factors, and neurobiology of this disease.
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Affiliation(s)
- Mario F Mendez
- David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
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