1
|
Chou KL, Kanel P, van Emde Boas M, Roytman S, Carli G, Albin RL, Bohnen NI. Cholinergic System Changes in Dopa-Unresponsive Freezing of Gait in Parkinson's Disease. Mov Disord 2025. [PMID: 40219650 DOI: 10.1002/mds.30196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 03/17/2025] [Accepted: 03/24/2025] [Indexed: 04/14/2025] Open
Abstract
BACKGROUND Freezing of gait (FoG) is a debilitating mobility disturbance that becomes increasingly resistant to dopaminergic pharmacotherapies with advancing Parkinson's disease (PD). The pathophysiology underlying the response of FoG to dopaminergic treatment is poorly understood. Prior vesicular acetylcholine transporter positron emission tomography (VAChT PET) imaging studies implicate the degeneration of cholinergic pathways, including bilateral striatal and limbic archicortex deficits, as significant contributors to FoG. OBJECTIVE We aim to investigate whether specific cholinergic system changes are associated with FoG responsiveness to levodopa treatment in PD patients. METHODS Thirty six PD subjects (31M/5F) completed [18F]-fluoroethoxybenzovesamicol ([18F]FEOBV) vesicular acetylcholine transporter positron emission tomography (VAChT PET) and underwent videotaped clinical assessments for FoG on and off levodopa. RESULTS Sixteen subjects had l-dopa-unresponsive FoG. Whole brain voxel-based analyses of [18F]FEOBV PET (false discovery rate-corrected at P < 0.05 and adjusted for levodopa-equivalent dose) showed that those with l-dopa-unresponsive FoG had more severe cholinergic terminal deficits in the bilateral insula, hippocampi, fimbria, and lateral geniculate nuclei; left mid-temporal, putamen, and posterior cingulate regions; and the right mid-frontal region and anterior ventral nucleus of the thalamus compared to those with l-dopa-responsive FoG. CONCLUSION FoG unresponsive to levodopa is associated with bilateral cholinergic terminal reductions, mostly in extra-striatal regions involved in multisensory and cognitive integration of gait and postural control as well as spatial navigation. The lack of specific striatal involvement points to the disruption of widespread cerebral network functions underlying l-dopa-unresponsive FoG in PD and may explain the treatment-resistant nature of FoG to levodopa. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Kelvin L Chou
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Prabesh Kanel
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, Michigan, USA
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, Michigan, USA
| | - Miriam van Emde Boas
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, Michigan, USA
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Stiven Roytman
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Giulia Carli
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, Michigan, USA
- Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, Michigan, USA
| | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, Michigan, USA
- Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicolaas I Bohnen
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Functional Neuroimaging, Cognitive, and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, Michigan, USA
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
- Neurology Service and GRECC, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| |
Collapse
|
2
|
Richter N, Breidenbach L, Schmieschek MH, Heiss WD, Fink GR, Onur OA. Alzheimer-typical temporo-parietal atrophy and hypoperfusion are associated with a more significant cholinergic impairment in amnestic neurodegenerative syndromes. J Alzheimers Dis 2025; 104:1290-1300. [PMID: 40116674 DOI: 10.1177/13872877251324080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2025]
Abstract
BackgroundTo date, cholinomimetics remain central in the pharmacotherapy of Alzheimer's disease (AD) dementia. However, postmortem investigations indicate that the AD-typical progressive amnestic syndrome may also result from predominantly limbic non-AD neuropathology such as TDP-43 proteinopathy and argyrophilic grain disease. Experimental evidence links a beneficial response to cholinomimetics in early AD to reduced markers of cholinergic neurotransmission. However, the cholinergic impairment varies among patients with a clinical AD presentation, likely due to non-AD (co)-pathologies.ObjectiveThis study examines whether AD-typical atrophy and hypoperfusion can provide information about the cholinergic system in clinically diagnosed AD.MethodsThirty-two patients with amnestic mild cognitive impairment or mild dementia due to AD underwent positron emission tomography (PET) with the tracer N-methyl-4-piperidyl-acetate (MP4A) to estimate acetylcholinesterase (AChE) activity, neurological examinations, cerebral magnetic resonance imaging (MRI) and neuropsychological assessment. The 'cholinergic deficit' was computed as the deviation of AChE activity from cognitively normal controls across the cerebral cortex and correlated gray matter (GM) and perfusion of temporo-parietal cortices typically affected by AD and basal forebrain (BF) GM.ResultsTemporo-parietal perfusion and GM, as well as the inferior temporal to medial temporal ratio of perfusion correlated negatively with the 'cholinergic deficit'. A smaller Ch4p area of the BF was associated with a more significant 'cholinergic deficit', albeit to a lesser degree than cortical measures.ConclusionsIn clinically diagnosed AD, temporo-parietal GM and perfusion are more closely associated with the 'cholinergic deficit' than BF volumes, making them possible markers for cholinergic treatment response in amnestic neurodegeneration.
Collapse
Affiliation(s)
- Nils Richter
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Germany
| | - Laura Breidenbach
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Germany
| | - Maximilian Ht Schmieschek
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Germany
| | | | - Gereon R Fink
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Germany
| | - Oezguer A Onur
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Germany
| |
Collapse
|
3
|
Russell JK, Conley AC, Boyd BD, Begnoche JP, Schlossberg R, Stranick A, Rosenberg AJ, Acosta LMY, Martin D, Neal Y, Kanel P, Albin RL, Rafii MS, Dumas J, Newhouse PA. Differences in cholinergic terminal density in adults with Down syndrome compared to neurotypical controls measured by [ 18F]-fluoroethoxybenzovesamicol positron emission tomography imaging. Neurobiol Aging 2025; 148:50-60. [PMID: 39914061 PMCID: PMC11981543 DOI: 10.1016/j.neurobiolaging.2025.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 01/07/2025] [Accepted: 01/27/2025] [Indexed: 02/12/2025]
Abstract
Adults with Down syndrome are genetically predisposed to developing Alzheimer's disease after the age of 40. The cholinergic system, which is critical for cognitive functioning, is known to decline in Alzheimer's disease and although first investigated in individuals with Down syndrome 40 years ago, remains relatively understudied. Existing studies suggest individuals with Down syndrome have an intact cholinergic system at birth that declines through adulthood alongside the development of Alzheimer's disease pathology. The present study provides the first description of cholinergic terminals in vivo in non-demented adults with Down syndrome utilizing [18F]-fluoroethoxybenzovesamicol PET imaging. In addition, we investigated age-associated decline in cholinergic terminal density. Sixteen (16) non-demented adults with Down syndrome (mean age 35.5, 8 females) and 20 neurotypically developed individuals (mean age 35.5, 10 females) were studied, comparing radiotracer uptake groupwise and associations with age utilizing a voxel-based approach. Adults with Down syndrome displayed significantly increased [18F]-fluoroethoxybenzovesamicol uptake in the cerebellum, brainstem, thalamus, and numerous cortical regions compared to age-matched controls following an unpaired t-test thresholded at p < 0.001 and minimum cluster size 50. Cholinergic terminal density in numerous cortical regions showed a steeper decline associated with older age in adults with Down syndrome than observed in neurotypically developed adults in the age range tested following a generalized linear model testing the interaction between age and group, thresholded at p < 0.005 and minimum cluster size 50. These data suggest higher cholinergic terminal density in early adulthood in individuals with Down syndrome, with a greater age-related difference than is observed in neurotypically developed individuals.
Collapse
Affiliation(s)
- Jason K Russell
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexander C Conley
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brian D Boyd
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - J Patrick Begnoche
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachel Schlossberg
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Allison Stranick
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam J Rosenberg
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Lealani Mae Y Acosta
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Dann Martin
- Department of Clinical Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Yasmeen Neal
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA; University of Michigan Morris K. Udall Center of Excellence for Parkinson's Disease Research, Ann Arbor, MI, USA
| | - Roger L Albin
- University of Michigan Morris K. Udall Center of Excellence for Parkinson's Disease Research, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Geriatric Research, Education, and Clinical Center, VAAAHS, Ann Arbor, MI, USA
| | - Michael S Rafii
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego, California, USA
| | - Julie Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Paul A Newhouse
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA.
| |
Collapse
|
4
|
Russell JK, Conley AC, Boyd BD, Begnoche JP, Schlossberg R, Stranick A, Rosenberg AJ, Acosta LMY, Martin D, Neal Y, Rafii MS, Dumas J, Newhouse PA. Brain cholinergic terminal density utilizing [ 18F]-fluoroethoxybenzovesamicol PET in adults with Down's syndrome: Relationship to amyloid PET and cognitive performance. Alzheimers Dement 2025; 21:e70134. [PMID: 40189807 PMCID: PMC11972980 DOI: 10.1002/alz.70134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 02/10/2025] [Accepted: 03/04/2025] [Indexed: 04/10/2025]
Abstract
BACKGROUND Adults with Down syndrome (DS) have increased risk of Alzheimer's disease (AD). The cholinergic system declines in AD, underlying many cognitive deficits. We investigated the relationship between amyloid accumulation and cholinergic terminal density in adults with DS compared to amyloid-matched controls. METHODS A total of 15 non-demented adults with DS and 15 amyloid-matched healthy controls were assessed for [18F]-FEOBV uptake differences and [18F]-FEOBV uptake relationships with amyloid accumulation and cognitive performance. RESULTS Adults with DS displayed greater [18F]-FEOBV uptake than controls, with a similar uptake pattern. Amyloid-associated differences in [18F]-FEOBV uptake were observed in adults with DS. [18F]-FEOBV uptake in adults with DS was positively associated with cognition. DISCUSSION Adults with DS display higher [18F]-FEOBV uptake than amyloid-matched controls but relatively lower [18F]-FEOBV uptake in individuals with elevated amyloid. Thus, the cholinergic system appears to be adversely affected by AD pathology in individuals with DS, which may be relevant to cognitive decline. HIGHLIGHTS Adults with DS display greater cholinergic terminal density in specific ROIs than amyloid-match controls. Adults with DS exhibit a similar pattern of cholinergic terminal density across the brain. The first association of cholinergic terminal density with AD pathology in non-demented adults with DS. Adults with DS display a greater cholinergic terminal decline in association with amyloid accumulation than neurotypically developed age-matched controls. Region-specific cholinergic terminal density associated with cognitive performance in adults with DS.
Collapse
Affiliation(s)
- Jason K. Russell
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Alexander C. Conley
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Brian D. Boyd
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - John Patrick Begnoche
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Rachel Schlossberg
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Allison Stranick
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Adam J. Rosenberg
- Vanderbilt University Institute of Imaging ScienceVanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Radiology and Radiological SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | | | - Dann Martin
- Department of Clinical Radiology and Radiological SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Yasmeen Neal
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Michael S. Rafii
- Alzheimer's Therapeutic Research InstituteKeck School of MedicineUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Julie Dumas
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
| | - Paul A. Newhouse
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
- Geriatric ResearchEducation, and Clinical CenterVeterans Affairs Tennessee Valley Health SystemNashvilleTennesseeUSA
| |
Collapse
|
5
|
Alves PN, Nozais V, Hansen JY, Corbetta M, Nachev P, Martins IP, Thiebaut de Schotten M. Neurotransmitters' white matter mapping unveils the neurochemical fingerprints of stroke. Nat Commun 2025; 16:2555. [PMID: 40089467 PMCID: PMC11910582 DOI: 10.1038/s41467-025-57680-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 02/25/2025] [Indexed: 03/17/2025] Open
Abstract
Distinctive patterns of brain neurotransmission frame determinant circuits for behavior. Understanding the relationship between their damage and the cognitive impairment provoked by brain lesions could provide insights into the pathophysiology and therapeutics of disabling disorders, like stroke. Yet, the challenges of neurotransmitter circuits mapping in vivo have hampered this investigation. Here, we developed an MRI white matter atlas of neurotransmitter circuits and created a method to chart how stroke damages neurotransmitter systems, which distinguishes pre and postsynaptic disruption. Our model, trained and tested in two large stroke patient samples, identified eight clusters with different neurochemical patterns. The associations with patients' cognitive profiles were scarce, denoting that a particular cognitive deficit might have finer underlying neurochemical disturbances that are unfit to the granularity of our analyses. These findings depict stroke neurochemical diaschisis patterns, provide insights into stroke cognitive deficits and potential treatments, and open a new window for tailored neurotransmitter modulation.
Collapse
Affiliation(s)
- Pedro Nascimento Alves
- Laboratório de Estudos de Linguagem, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
- Unidade de Acidentes Vasculares Cerebrais, Serviço de Neurologia, Departamento de Neurociências e Saúde Mental, Hospital de Santa Maria, ULSSM, Lisbon, Portugal.
| | - Victor Nozais
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
| | - Justine Y Hansen
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Maurizio Corbetta
- Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
- Venetian Institute of Molecular Medicine, Fondazione Biomedica, Padova, Italy
| | - Parashkev Nachev
- Queen Square Institute of Neurology, University College London, London, UK
| | - Isabel Pavão Martins
- Laboratório de Estudos de Linguagem, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- Unidade de Acidentes Vasculares Cerebrais, Serviço de Neurologia, Departamento de Neurociências e Saúde Mental, Hospital de Santa Maria, ULSSM, Lisbon, Portugal
| | - Michel Thiebaut de Schotten
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
| |
Collapse
|
6
|
Pelegrino ADF, Attarha M, Toussaint PJ, Ouellet L, Grant SJ, Van Vleet T, de Villers-Sidani E. Cholinergic neurotransmission in the anterior cingulate cortex is associated with cognitive performance in healthy older adults: Baseline characteristics of the Improving Neurological Health in Aging via Neuroplasticity-based Computerized Exercise (INHANCE) trial. NEUROIMAGE. REPORTS 2025; 5:100234. [PMID: 40191405 PMCID: PMC11970925 DOI: 10.1016/j.ynirp.2025.100234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Aging is associated with dysfunction in the cholinergic system, including degeneration of basal forebrain cholinergic terminals that innervate the cortex, which directly contributes to age- and disease-related cognitive decline. In this study, we used [18F]fluoroethoxybenzovesamicol ([18F]FEOBV) positron emission tomography (PET) imaging to assess the effect of age on cholinergic terminal integrity in predefined regions of interest and its relationship to cognitive performance in healthy older adults who underwent neuropsychological assessment and FEOBV PET brain imaging. Our results showed age-related reductions in FEOBV binding, particularly in the anterior cingulate cortex-the primary region of interest-as well as in the striatum, posterior cingulate cortex, and primary auditory cortex. Notably, FEOBV binding in the anterior cingulate cortex was positively correlated with cognitive performance on the NIH EXAMINER Executive Composite Score. These findings suggest that [18F] FEOBV PET imaging can be used as a reliable biomarker to assess cholinergic changes in the human brain and indicate that preserving the cholinergic integrity of the basal forebrain may help maintain cognitive function and protect against age-related cognitive decline.
Collapse
Affiliation(s)
- Ana de Figueiredo Pelegrino
- McGill University, Montreal Neurological Institute and Hospital, 3801 University Street, Montréal, Quebec, H3A 2B4, Canada
| | - Mouna Attarha
- Posit Science Corporation, 160 Pine St Suite 200, San Francisco, CA, 94111, United States
| | - Paule-Joanne Toussaint
- McGill University, Montreal Neurological Institute and Hospital, 3801 University Street, Montréal, Quebec, H3A 2B4, Canada
| | - Lydia Ouellet
- McGill University, Montreal Neurological Institute and Hospital, 3801 University Street, Montréal, Quebec, H3A 2B4, Canada
| | - Sarah-Jane Grant
- Posit Science Corporation, 160 Pine St Suite 200, San Francisco, CA, 94111, United States
| | - Thomas Van Vleet
- Posit Science Corporation, 160 Pine St Suite 200, San Francisco, CA, 94111, United States
| | - Etienne de Villers-Sidani
- McGill University, Montreal Neurological Institute and Hospital, 3801 University Street, Montréal, Quebec, H3A 2B4, Canada
| |
Collapse
|
7
|
Ananth MR, Gardus JD, Huang C, Palekar N, Slifstein M, Zaborszky L, Parsey RV, Talmage DA, DeLorenzo C, Role LW. A central role for acetylcholine in entorhinal cortex function and dysfunction with age in humans and mice. Cell Rep 2025; 44:115249. [PMID: 39891909 DOI: 10.1016/j.celrep.2025.115249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 11/15/2024] [Accepted: 01/09/2025] [Indexed: 02/03/2025] Open
Abstract
Structural and functional changes in the entorhinal cortex (EC) are among the earliest signs of cognitive aging. Here, we ask whether a compromised cholinergic system influences early EC impairments and plays a primary role in EC cognition. We evaluated the relationship between loss of integrity of cholinergic inputs to the EC and cognitive deficits in otherwise healthy humans and mice. Using in vivo imaging (PET/MRI) in older humans and high-resolution imaging in wild-type mice and mice with genetic susceptibility to Alzheimer's disease pathology, we establish that loss of cholinergic input to the EC is, in fact, an early feature in cognitive aging. Through mechanistic studies in mice, we find a central role for EC-projecting cholinergic neurons in the expression of EC-related behaviors. Our data demonstrate that alterations to the cholinergic EC are an early, conserved feature of cognitive aging across species and may serve as an early predictor of cognitive status.
Collapse
Affiliation(s)
- Mala R Ananth
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA.
| | - John D Gardus
- Department of Psychiatry and Behavioral Health, Stony Brook Medicine, Stony Brook, NY, USA
| | - Chuan Huang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Nikhil Palekar
- Department of Psychiatry and Behavioral Health, Stony Brook Medicine, Stony Brook, NY, USA
| | - Mark Slifstein
- Department of Psychiatry and Behavioral Health, Stony Brook Medicine, Stony Brook, NY, USA
| | - Laszlo Zaborszky
- Center for Molecular and Behavioral Neuroscience, Rutgers University, New Newark, NJ, USA
| | - Ramin V Parsey
- Department of Psychiatry and Behavioral Health, Stony Brook Medicine, Stony Brook, NY, USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - David A Talmage
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Christine DeLorenzo
- Department of Psychiatry and Behavioral Health, Stony Brook Medicine, Stony Brook, NY, USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Lorna W Role
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA.
| |
Collapse
|
8
|
Fang K, Wen B, Liu L, Han S, Zhang W. Disrupted intersubject variability architecture in structural and functional brain connectomes in major depressive disorder. Psychol Med 2025; 55:e56. [PMID: 39973062 PMCID: PMC12080648 DOI: 10.1017/s0033291725000078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Revised: 01/06/2025] [Accepted: 01/08/2025] [Indexed: 02/21/2025]
Abstract
BACKGROUND Major depressive disorder (MDD) is a heterogeneous condition characterized by significant intersubject variability in clinical presentations. Recent neuroimaging studies have indicated that MDD involves altered brain connectivity across widespread regions. However, the variability in abnormal connectivity among MDD patients remains understudied. METHODS Utilizing a large, multi-site dataset comprising 1,276 patients with MDD and 1,104 matched healthy controls, this study aimed to investigate the intersubject variability of structural covariance (IVSC) and functional connectivity (IVFC) in MDD. RESULTS Patients with MDD demonstrated higher IVSC in the precuneus and lingual gyrus, but lower IVSC in the medial frontal gyrus, calcarine, cuneus, and cerebellum anterior lobe. Conversely, they exhibited an overall increase in IVFC across almost the entire brain, including the middle frontal gyrus, anterior cingulate cortex, hippocampus, insula, striatum, and precuneus. Correlation and mediation analyses revealed that abnormal IVSC was positively correlated with gray matter atrophy and mediated the relationship between abnormal IVFC and gray matter atrophy. As the disease progressed, IVFC increased in the left striatum, insula, right lingual gyrus, posterior cingulate, and left calcarine. Pharmacotherapy significantly reduced IVFC in the right insula, superior temporal gyrus, and inferior parietal lobule. Furthermore, we found significant but distinct correlations between abnormal IVSC and IVFC and the distribution of neurotransmitter receptors, suggesting potential molecular underpinnings. Further analysis confirmed that abnormal patterns of IVSC and IVFC were reproducible and MDD specificity. CONCLUSIONS These results elucidate the heterogeneity of abnormal connectivity in MDD, underscoring the importance of addressing this heterogeneity in future research.
Collapse
Affiliation(s)
- Keke Fang
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, China
- Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital
- Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan Province, China
| | - Wenzhou Zhang
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, China
- Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital
- Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital
| |
Collapse
|
9
|
Han S, Tian Y, Zheng R, Tao Q, Song X, Guo HR, Wen B, Liu L, Liu H, Xiao J, Wei Y, Pang Y, Chen H, Xue K, Chen Y, Cheng J, Zhang Y. Common neuroanatomical differential factors underlying heterogeneous gray matter volume variations in five common psychiatric disorders. Commun Biol 2025; 8:238. [PMID: 39953132 PMCID: PMC11828988 DOI: 10.1038/s42003-025-07703-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 02/07/2025] [Indexed: 02/17/2025] Open
Abstract
Multifaceted evidence has shown that psychiatric disorders share common neurobiological mechanisms. However, the tremendous inter-individual heterogeneity among patients with psychiatric disorders limits trans-diagnostic studies with case-control designs, aimed at identifying clinically promising neuroimaging biomarkers. This study aims to identify neuroanatomical differential factors (ND factors) underlying gray matter volume variations in five psychiatric disorders. We leverage 4 independent datasets of 878 patients diagnosed with psychiatric disorders and 585 healthy controls (HCs) to identify shared ND factors underlying individualized gray matter volume variations. Individualized gray matter volume variations are represented with the linear weighted sum of ND factors, and each case is assigned a unique factor composition, thus preserving interindividual variation. We identify four robust ND factors that can be generalized to unseen disorders. ND factors show significant association with group-level morphological abnormalities, reconciling individual- and group-level morphological abnormalities, and are characterized by dissociable cognitive processes, molecular signatures, and connectome-informed epicenters. Moreover, using factor compositions as features, we discover two robust transdiagnostic subtypes with opposite gray matter volume variations relative to HCs. In conclusion, we identify four reproducible and shared neuroanatomical factors that underlie the highly heterogeneous morphological abnormalities in psychiatric disorders.
Collapse
Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China.
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China.
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China.
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Ya Tian
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Xueqin Song
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui-Rong Guo
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Hao Liu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Jinmin Xiao
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yajing Pang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, Zhengzhou, China
| | - Huafu Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Kangkang Xue
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China.
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China.
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China.
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China.
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China.
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China.
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China.
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China.
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China.
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Engineering Technology Research Center for detection and application of brain function of Henan Province, Zhengzhou, China.
- Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, Zhengzhou, China.
- Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, Zhengzhou, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, Zhengzhou, China.
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| |
Collapse
|
10
|
Knight SR, Abbasova L, Zeighami Y, Hansen JY, Martins D, Zelaya F, Dipasquale O, Liu T, Shin D, Bossong M, Azis M, Antoniades M, Howes OD, Bonoldi I, Egerton A, Allen P, O'Daly O, McGuire P, Modinos G. Transcriptional and Neurochemical Signatures of Cerebral Blood Flow Alterations in Individuals With Schizophrenia or at Clinical High Risk for Psychosis. Biol Psychiatry 2025:S0006-3223(25)00076-9. [PMID: 39923816 DOI: 10.1016/j.biopsych.2025.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 01/24/2025] [Accepted: 01/31/2025] [Indexed: 02/11/2025]
Abstract
BACKGROUND The brain integrates multiple scales of description, from the level of cells and molecules to large-scale networks and behavior. Understanding relationships across these scales may be fundamental to advancing understanding of brain function in health and disease. Recent neuroimaging research has shown that functional brain alterations that are associated with schizophrenia spectrum disorders (SSDs) are already present in young adults at clinical high risk for psychosis (CHR-P), but the cellular and molecular determinants of these alterations remain unclear. METHODS Here, we used regional cerebral blood flow (rCBF) data from 425 individuals (122 with an SSD compared with 116 healthy control participants [HCs] and 129 individuals at CHR-P compared with 58 HCs) and applied a novel pipeline to integrate brainwide rCBF case-control maps with publicly available transcriptomic data (17,205 gene maps) and neurotransmitter atlases (19 maps) from 1074 healthy volunteers. RESULTS We identified significant correlations between astrocyte, oligodendrocyte, oligodendrocyte precursor cell, and vascular leptomeningeal cell gene modules for both SSD and CHR-P rCBF phenotypes. Additionally, endothelial cell genes were correlated in SSD, and microglia in CHR-P. Receptor distribution significantly predicted case-control rCBF differences, with dominance analysis highlighting dopamine (D1, D2, dopamine transporter), acetylcholine (VAChT, M1), gamma-aminobutyric acid A (GABAA), and glutamate (NMDA) receptors as key predictors for SSD (R2adjusted = 0.58, false discovery rate [FDR]-corrected p < .05) and CHR-P (R2adjusted = 0.6, pFDR < .05) rCBF phenotypes. These associations were primarily localized in subcortical regions and implicate cell types involved in stress response and inflammation, alongside specific neuroreceptor systems, in shared and distinct rCBF phenotypes in psychosis. CONCLUSIONS Our findings underscore the value of integrating multiscale data as a promising hypothesis-generating approach toward decoding biological pathways involved in neuroimaging-based psychosis phenotypes, potentially guiding novel interventions.
Collapse
Affiliation(s)
- Samuel R Knight
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| | - Leyla Abbasova
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom
| | - Yashar Zeighami
- Douglas Research Centre, Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Ottavia Dipasquale
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Olea Medical, La Ciotat, France
| | - Thomas Liu
- Centre for Functional MRI, University of California San Diego, San Diego, California
| | - David Shin
- Global MR Applications and Workflow, GE Healthcare, Menlo Park, California
| | - Matthijs Bossong
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychiatry, Brain Center Rudoph Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Matilda Azis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Mathilde Antoniades
- Center for AI and Data Science for Integrated Diagnostics and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Ilaria Bonoldi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Owen O'Daly
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Philip McGuire
- Department of Psychiatry, Oxford University, Oxford, United Kingdom
| | - Gemma Modinos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom
| |
Collapse
|
11
|
Pirani A. The Implementation of Infant Anoesis and Adult Autonoesis in the Retrogenesis and Staging System of the Neurocognitive Disorders: A Proposal for a Multidimensional Person-Centered Model. Geriatrics (Basel) 2025; 10:20. [PMID: 39997519 PMCID: PMC11854936 DOI: 10.3390/geriatrics10010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 01/13/2025] [Accepted: 01/17/2025] [Indexed: 02/26/2025] Open
Abstract
Background: Retrogenesis is the process by which the degenerative and vascular mechanisms of dementia reverse the order of acquisition in the normal development. Objective: The development of memory/knowledge after birth may help to know the biopsychosocial and functional characteristics (biosphere) of the retrogenesis. Methods: A literature review was performed in the PubMed, Google Scholar, and Scopus databases using 43 keywords related to retrogenesis: 234 eligible records were selected. Results: The infantile amnesia, characterized from anoesis, was described along the infant/child's biosphere in which the limbic system progressively develops the acquisition of the body knowledge (Anoetic Body Consciousness, AnBC). Anoesis is the infant memory state characterized by the absence of long-term memories of the many stressful/painful experiences that accompany the acquisition under the long-life voluntary control of the long-term memories fundamental for the body growth and survival (mainly chewing/swallowing and walking). At the age of 3-4 years, usually, the AnBC evolves, as a continuum, into the adulthood autonoesis with the emergence, in the child/adolescent, of the consciousness of "self" trough the development of the Episodic Autobiographic Memory (EAM) and the Autonoetic Mind Consciousness (AuMC). The development of cognition and knowledge is due to the progressive maturation of the whole limbic system and not only of the hippocampus. In the biopsychosocial retrogenesis, the EAM/AuMC vanishes progressively along the mild, moderate, and severe stages of dementia when the infant AnBC resurfaces, losing progressively the basic activities of daily living in a retrogenetic order of acquisition where the last functions to disappear are chewing/swallowing. Conclusion: The transition from the adult EAM-AuMC to the infant AnBC, as a continuum in the individual biosphere, adds a contribution to the assessment of the retrogenesis in dementia from a multidimensional person-centered model.
Collapse
Affiliation(s)
- Alessandro Pirani
- Alzheimer's Association "Francesco Mazzuca", Via Reno Vecchio, 33, 44042 Cento, Italy
| |
Collapse
|
12
|
Helbert H, Deuther-Conrad W, de Haan M, Wenzel B, Luurtsema G, Szymanski W, Brust P, Dierckx RAJO, Feringa BL, Elsinga PH. Synthesis and in vitro evaluation of spirobenzovesamicols as potential 11C-PET tracer alternatives to [ 18F]FEOBV for vesicular acetylcholine transporter (VAChT) imaging. EJNMMI Radiopharm Chem 2025; 10:7. [PMID: 39894871 PMCID: PMC11788271 DOI: 10.1186/s41181-025-00327-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 01/14/2025] [Indexed: 02/04/2025] Open
Abstract
BACKGROUND Through its central role in neurotransmission, the vesicular acetylcholine transporter (VAChT) is an increasingly valuable target for positron emission tomography (PET). VAChT ligands have been mostly derived from the vesamicol structure, but with limitations in available labelling methods and selectivity for VAChT against σ receptors being a common pitfall of such compounds, the development of selective VAChT tracers remains a challenge. Modern labelling techniques, in this case the [11C]MeLi cross-coupling methodology, expands labelling opportunities, allowing to explore novel vesamicol-based structures as potential PET-tracers. RESULTS A series of vesamicol derivatives was synthesized and their binding towards VAChT, σ1 and σ2 receptors assessed. Of all compound tested, (-)-2-methylspirobenzovesamicol ((-)-4) was the most promising with a 16 ± 4 nM affinity towards VAChT, a 29-fold weaker affinity for σ1 receptors and negligible binding (> 1 μM) towards σ2 receptors. The radiolabelling was performed from the corresponding bromide using a [11C]MeLi cross-coupling protocol, yielding 2-[11C]methylspirobenzovesamicol in 32-37% RCY. New in vitro binding data is also made available for (-)-FEOBV with human-sourced σ1 receptors, revealing a 300-fold stronger affinity for VAChT compared to σ receptors. CONCLUSION (-)-2-methylspirobenzovesamicol was identified as a potent and selective VAChT ligand, with moderate to low affinity for σ receptors, and its racemate was radiolabeled in good radiochemical yields with Carbon-11. At this stage, [11C]-methyl-2-methylspirobenzovesamicol appears a promising 11C-PET tracer for VAChT imaging.
Collapse
Affiliation(s)
- Hugo Helbert
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Groningen, The Netherlands
| | - Winnie Deuther-Conrad
- Department of Neuroradiopharmaceuticals, Institute of Radiopharmaceutical Cancer Research, Research Site Leipzig, Helmholtz-Zentrum Dresden-Rossendorf, Leipzig, Germany
| | - Michel de Haan
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Groningen, The Netherlands
| | - Barbara Wenzel
- Department of Neuroradiopharmaceuticals, Institute of Radiopharmaceutical Cancer Research, Research Site Leipzig, Helmholtz-Zentrum Dresden-Rossendorf, Leipzig, Germany
| | - Gert Luurtsema
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Wiktor Szymanski
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Groningen, The Netherlands
- Department of Medicinal Chemistry, Photopharmacology and Imaging, Groningen Research Institute of Pharmacy, Groningen, The Netherlands
| | - Peter Brust
- Department of Neuroradiopharmaceuticals, Institute of Radiopharmaceutical Cancer Research, Research Site Leipzig, Helmholtz-Zentrum Dresden-Rossendorf, Leipzig, Germany
- Luebeck Institute of Experimental Dermatology, University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, Lübeck, Germany
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Ben L Feringa
- Stratingh Institute for Chemistry, University of Groningen, Groningen, The Netherlands
| | - Philip H Elsinga
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
| |
Collapse
|
13
|
Brown T, Kanel P, Griggs A, Carli G, Vangel R, Albin RL, Bohnen NI. Regional cerebral cholinergic vesicular transporter correlates of visual contrast sensitivity in Parkinson's disease: Implications for visual and cognitive function. Parkinsonism Relat Disord 2025; 131:107229. [PMID: 39693855 PMCID: PMC11912809 DOI: 10.1016/j.parkreldis.2024.107229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 11/26/2024] [Accepted: 12/08/2024] [Indexed: 12/20/2024]
Abstract
Visual and visual processing deficits are implicated in freezing, falling, and cognitive impairments in Parkinson's disease (PD). In particular, contrast sensitivity deficits are common and may be related to cognitive impairment in PD. While dopaminergic deficits play a role in PD-related visual dysfunction, brain cholinergic systems also modulate many aspects of visual processing. The aim of this study was to explore regional cerebral cholinergic terminal density correlates of contrast sensitivity in PD. Ninety-one PD subjects underwent contrast sensitivity testing, motor testing, cognitive testing, and brain MRI and [18F]-fluoroethoxybenzovesamicol [18F]-FEOBV PET imaging. Whole brain false discovery error-corrected (p < 0.05) correlations revealed significant associations between VAChT deficits in pericentral, limbic, and visual processing regions and contrast sensitivity performance, independent of disease duration and dopaminergic medication doses. These results suggest that brain cholinergic deficits correlate with contrast sensitivity deficits in PD. Additionally, decreased Rabin contrast sensitivity scores were associated with lower total scores in the Parkinson's Disease Cognitive Rating Scale. These findings suggest that diminished cognitive performance correlated with contrast sensitivity partly reflects underlying vulnerabilities of brain cholinergic systems.
Collapse
Affiliation(s)
- Taylor Brown
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, University of Michigan, Ann Arbor, MI, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA; Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, University of Michigan, Ann Arbor, MI, USA.
| | - Alexis Griggs
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, University of Michigan, Ann Arbor, MI, USA
| | - Giulia Carli
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA; Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Robert Vangel
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, University of Michigan, Ann Arbor, MI, USA
| | - Roger L Albin
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA; Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Nicolaas I Bohnen
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA; Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| |
Collapse
|
14
|
Wen B, Fang K, Tao Q, Tian Y, Niu L, Shi W, Liu Z, Sun J, Liu L, Zhang X, Zheng R, Guo HR, Wei Y, Zhang Y, Cheng J, Han S. Individualized gray matter morphological abnormalities unveil two neuroanatomical obsessive-compulsive disorder subtypes. Transl Psychiatry 2025; 15:23. [PMID: 39856051 PMCID: PMC11760359 DOI: 10.1038/s41398-025-03226-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 12/11/2024] [Accepted: 01/07/2025] [Indexed: 01/27/2025] Open
Abstract
Obsessive-compulsive disorder (OCD) is a highly heterogeneous disorder, with notable variations among cases in structural brain abnormalities. To address this heterogeneity, our study aimed to delineate OCD subtypes based on individualized gray matter morphological differences. We recruited 100 untreated, first-episode OCD patients and 106 healthy controls for structural imaging scans. Utilizing normative models of gray matter volume, we identified subtypes based on individual morphological abnormalities. Sensitivity analyses were conducted to validate the reproducibility of clustering outcomes. To gain deeper insights into the connectomic and molecular underpinnings of structural brain abnormalities in the identified subtypes, we investigated their associations with normal brain network architecture and the distribution of neurotransmitter receptors/transporters. Our findings revealed two distinct OCD subtypes exhibiting divergent patterns of structural brain abnormalities. Sensitivity analysis results confirmed the robustness of the identified subtypes. Subtype 1 displayed significantly increased gray matter volume in regions including the frontal gyrus, precuneus, insula, hippocampus, parahippocampal gyrus, amygdala, and temporal gyrus, while subtype 2 exhibited decreased gray matter volume in the frontal gyrus, precuneus, insula, superior parietal gyrus, temporal gyrus, and fusiform gyrus. When considering all patients collectively, structural brain abnormalities nullified. The identified subtypes were characterized by divergent disease epicenters. Specifically, subtype 1 showed disease epicenters in the middle frontal gyrus, while subtype 2 displayed disease epicenters in the striatum, thalamus and hippocampus. Furthermore, structural brain abnormalities in these subtypes displayed distinct associations with neurotransmitter receptors/transporters. The identified subtypes offer novel insights into nosology and the heterogeneous nature of OCD.
Collapse
Affiliation(s)
- Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Keke Fang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
- Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ya Tian
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lianjie Niu
- Department of Breast Disease, Henan Breast Cancer Center, The affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Wenqing Shi
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zijun Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jin Sun
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaopan Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui-Rong Guo
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| |
Collapse
|
15
|
Manca R, De Marco M, Soininen H, Ruffini L, Venneri A. Changes in neurotransmitter-related functional connectivity along the Alzheimer's disease continuum. Brain Commun 2025; 7:fcaf008. [PMID: 39980737 PMCID: PMC11840171 DOI: 10.1093/braincomms/fcaf008] [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: 08/28/2024] [Revised: 12/16/2024] [Accepted: 01/09/2025] [Indexed: 02/22/2025] Open
Abstract
Alzheimer's disease may be associated with early dopamine dysfunction. However, its effects on neurofunctional alterations in the neurotransmission pathways remain elusive. In this study, positron emission tomography atlases and functional MRI data for 86 older adults with mild cognitive impairment Alzheimer's disease (MCI), 58 with mild Alzheimer's disease-dementia and 76 cognitively unimpaired were combined to investigate connectivity alterations associated with the dopaminergic and cholinergic systems. A cross-sectional design was used to compare neurotransmitter-related functional connectivity across groups and associations between functional connectivity and cognitive performance. The findings show that the Alzheimer's disease dementia group showed a decline in mesocorticolimbic dopamine-related connectivity in the precuneus but heightened connectivity in the thalamus, whereas the Alzheimer's disease-MCI group showed a decline in nigrostriatal connectivity in the left temporal areas. Acetylcholine-related connectivity decline was observed in both Alzheimer's disease-MCI and Alzheimer's disease-dementia primarily in the temporo-parietal areas. Episodic memory scores correlated positively with acetylcholine- and dopamine-related connectivity in the temporo-parietal cortex and negatively with dopamine-related functional connectivity in the fronto-thalamic areas. This study shows that connectivity alterations in acetylcholine and dopamine functional pathways parallel cognitive decline in Alzheimer's disease and might be a clinically relevant marker in early Alzheimer's disease.
Collapse
Affiliation(s)
- Riccardo Manca
- Department of Life Sciences, Brunel University of London, UB8 3PH London, UK
- Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy
| | - Matteo De Marco
- Department of Life Sciences, Brunel University of London, UB8 3PH London, UK
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, 70210 Kuopio, Finland
| | - Livia Ruffini
- Nuclear Medicine Division, Azienda Ospedaliero-Universitaria of Parma, 43126 Parma, Italy
| | - Annalena Venneri
- Department of Life Sciences, Brunel University of London, UB8 3PH London, UK
- Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy
| |
Collapse
|
16
|
Leisgang Osse AM, Kinney JW, Cummings JL. The Common Alzheimer's Disease Research Ontology (CADRO) for biomarker categorization. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2025; 11:e70050. [PMID: 39935614 PMCID: PMC11812129 DOI: 10.1002/trc2.70050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 01/03/2025] [Accepted: 01/06/2025] [Indexed: 02/13/2025]
Abstract
Biomarkers are vital to Alzheimer's disease (AD) drug development and clinical trials, and will have an increasing role in clinical care. In this narrative review, we demonstrate the use of the National Institutes on Aging/Alzheimer's Association (NIA/AA) Common Alzheimer's Disease Research Ontology (CADRO) system for the categorization of biomarkers based on the primary mechanism on which they report. We show that biomarkers are available (in various levels of validation) for all CADRO processes. Application of the CADRO system demonstrates gaps in the field where novel biomarkers are needed for specific aspects of the disease, and assays to detect and measure biological changes, in individuals with symptomatic or preclinical AD. We demonstrate the CADRO system as a means of categorizing established and candidate AD biomarkers, showing the feasibility and practicality of the system. CADRO can assist with biomarker selection for AD clinical trials and drug development, and may eventually be applied to implementing biomarkers in patient care. Highlights The Common Alzheimer's Disease Research Ontology (CADRO) system can be used to categorize biomarkers for drug development.We demonstrate the use of CADRO with Alzheimer's disease (AD) biomarkers.We identified AD biomarkers in each of the CADRO categories.CADRO can be incorporated into current AD drug development and clinical trial systems.
Collapse
Affiliation(s)
- Amanda M. Leisgang Osse
- Department of Brain Health, Kirk Kerkorian School of MedicineUniversity of Nevada Las Vegas (UNLV)Las VegasNevadaUSA
| | - Jefferson W. Kinney
- Department of Brain Health, Kirk Kerkorian School of MedicineUniversity of Nevada Las Vegas (UNLV)Las VegasNevadaUSA
| | - Jeffrey L. Cummings
- Department of Brain Health, Kirk Kerkorian School of MedicineUniversity of Nevada Las Vegas (UNLV)Las VegasNevadaUSA
| |
Collapse
|
17
|
Russell JK, Conley AC, Wilson JE, Newhouse PA. Cholinergic System Structure and Function Changes in Individuals with Down Syndrome During the Development of Alzheimer's Disease. Curr Top Behav Neurosci 2025; 69:49-78. [PMID: 39485646 PMCID: PMC12042956 DOI: 10.1007/7854_2024_523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Adults with Down syndrome represent the population with the highest risk of developing Alzheimer's disease worldwide. The cholinergic system is known to decline in Alzheimer's disease, with this decline responsible for many of the cognitive deficits that develop. The integrity of the cholinergic system across the lifespan in individuals with Down syndrome is not well characterized. Small fetal and infant post-mortem studies suggest an intact cholinergic projection system with a potential reduction in cholinergic receptors, while post-mortem studies in adults with Down syndrome reveal an age-related decrease in cholinergic integrity. Advances in magnetic resonance imaging (MRI) and positron emission tomography (PET) over the last 20 years have allowed for studies investigating the changes in cholinergic integrity across aging and during the development of Alzheimer's disease. One large cross-sectional study demonstrated reduced cholinergic basal forebrain volume measured by MRI associated with increasing Alzheimer's disease pathology. In a small cohort of adults with Down syndrome, we have recently reported that PET measures of cholinergic integrity negatively correlated with amyloid accumulation. New disease-modifying treatments for Alzheimer's disease and treatments under development for Alzheimer's disease in Down syndrome have the potential to preserve the cholinergic system, while treatments targeting the cholinergic system directly may be used in conjunction with disease-modifying therapies to improve cognitive function further. A greater understanding of cholinergic neuronal and receptor integrity across the lifespan in individuals with Down syndrome will provide insights as to when targeting the cholinergic system is an appropriate therapeutic option and, in the future, maybe a valuable screening tool to identify individuals that would most benefit from cholinergic interventions.
Collapse
Affiliation(s)
- Jason K Russell
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexander C Conley
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jo Ellen Wilson
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA
| | - Paul A Newhouse
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA.
| |
Collapse
|
18
|
Boccalini C, Perani D, Garibotto V. Memory network and cognitive reserve are associated with preserved and stimulated cholinergic neurotransmission. HANDBOOK OF CLINICAL NEUROLOGY 2025; 211:137-153. [PMID: 40340058 DOI: 10.1016/b978-0-443-19088-9.00014-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2025]
Abstract
The cholinergic system plays a central role in cognition and neural function, and, in Alzheimer disease (AD) and Lewy body disease (LBD), it has profound implications for cognitive impairment and dementia. The cholinergic forebrain pathway, innervating the neocortex and limbic system, is crucial for learning, memory, and other essential aspects of cognition and plays a wider role in promoting neuronal plasticity. Given the neuroplasticity processes characterizing the cholinergic regions, this system may be sensitive to modulatory phenomena such as cognitive reserve (CR). The concept of CR has been introduced to account for the fact that individual clinical presentation might be milder than expected based on neuropathology. This mismatch can be explained by individual brain reserve (BR) buildup on life experiences, lifestyles, and neurobiologic factors that are associated with resilience. Sparse findings exist suggesting that the CR might result in an increased or preserved function of the cholinergic system in AD patients, and compensatory mechanisms in the early stages of LBD. The limited availability of effective treatment for neurodegenerative dementia emphasizes the importance of CR and BR, as they play a major role in delaying or slowing disease onset and progression. This chapter will describe the involvement of the cholinergic system in neurodegenerative diseases and the tools for the in vivo assessment, focusing specifically on the evidence suggesting the possibility of its modulation by CR.
Collapse
Affiliation(s)
- Cecilia Boccalini
- Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Daniela Perani
- Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland; CIBM Center for Biomedical Imaging, Geneva, Switzerland.
| |
Collapse
|
19
|
Cao L, Wang Z, Yuan Z, Luo Q. mFusion: a multiscale fusion method bridging neuroimages to genes through neurotransmissions in mental health disorders. Commun Biol 2024; 7:1699. [PMID: 39719509 DOI: 10.1038/s42003-024-07404-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Accepted: 12/16/2024] [Indexed: 12/26/2024] Open
Abstract
Mental health disorders emerge from complex interactions among neurobiological processes across multiple scales, which poses challenges in uncovering pathological pathways from molecular dysfunction to neuroimaging changes. Here, we proposed a multiscale fusion (mFusion) method to evaluate the relevance of each gene to the neuroimaging traits of mental health disorders. We combined gene-neuroimaging associations with gene-positron emission tomography (PET) and PET-neuroimaging associations using protein-protein interaction networks, where various genes traced by PET maps are involved in neurotransmission. Compared with previous methods, the proposed algorithm identified more disease genes on both simulated and empirical data sets. Applying mFusion to eight mental health disorders, we found that these disorders formed three clusters with distinct associated genes. In summary, mFusion is a promising tool of prioritizing genes for mental health disorders by establishing gene-PET-neuroimaging pathways.
Collapse
Affiliation(s)
- Luolong Cao
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China
| | - Zhenyi Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine (shanghai), Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, BNRist; Department of Automation, Tsinghua University, Beijing, China
| | - Zhiyuan Yuan
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China.
| | - Qiang Luo
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China.
- Shanghai Research Center of Acupuncture & Meridian, Shanghai, China.
- MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
20
|
Moodie JE, Buchanan C, Furtjes A, Conole E, Stolicyn A, Corley J, Ferguson K, Hernandez MV, Maniega SM, Russ TC, Luciano M, Whalley H, Bastin ME, Wardlaw J, Deary I, Cox S. Brain maps of general cognitive function and spatial correlations with neurobiological cortical profiles. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.17.628670. [PMID: 39764021 PMCID: PMC11702631 DOI: 10.1101/2024.12.17.628670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2025]
Abstract
In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning (g)? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise g-cortical morphometry (volume, surface area, thickness, curvature and sulcal depth) associations using data from 3 cohorts: the UK Biobank (UKB), Generation Scotland (GenScot), and the Lothian Birth Cohort 1936 (LBC1936), with the meta-analytic N = 38,379 (age range = 44 to 84 years old). These g-morphometry associations vary in magnitude and direction across the cortex (|β| range = -0.12 to 0.17 across morphometry measures) and show good cross-cohort agreement (mean spatial correlation r = 0.57, SD = 0.18). Then, to address (2), we bring together existing - and derive new - cortical maps of 33 neurobiological characteristics from multiple modalities (including neurotransmitter receptor densities, gene expression, functional connectivity, metabolism, and cytoarchitectural similarity). We discover that these 33 profiles spatially covary along four major dimensions of cortical organisation (accounting for 65.9% of the variance) and denote aspects of neurobiological scaffolding that underpin the spatial patterning of MRI-cognitive associations we observe (significant |r| range = 0.21 to 0.56). Alongside the cortical maps from these analyses, which we make openly accessible, we provide a compendium of cortex-wide and within-region spatial correlations among general and specific facets of brain cortical organisation and higher order cognitive functioning, which we hope will serve as a framework for analysing other aspects of behaviour-brain MRI associations.
Collapse
Affiliation(s)
- Joanna E. Moodie
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Colin Buchanan
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Anna Furtjes
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Eleanor Conole
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Aleks Stolicyn
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Janie Corley
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Karen Ferguson
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
- Row Fogo Centre for Research into Small Vessel Diseases
| | - Susana Munoz Maniega
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Tom C. Russ
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, UK
- Dementia Network, NHS Research Scotland
| | | | - Heather Whalley
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
| | - Mark E. Bastin
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
- UK Dementia Research Institute
- Row Fogo Centre for Research into Small Vessel Diseases
| | - Ian Deary
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
| | - Simon Cox
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| |
Collapse
|
21
|
Power SK, Venkatesan S, Qu S, McLaurin J, Lambe EK. Enhanced prefrontal nicotinic signaling as evidence of active compensation in Alzheimer's disease models. Transl Neurodegener 2024; 13:58. [PMID: 39623428 PMCID: PMC11613856 DOI: 10.1186/s40035-024-00452-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 08/22/2024] [Indexed: 12/06/2024] Open
Abstract
BACKGROUND Cognitive reserve allows for resilience to neuropathology, potentially through active compensation. Here, we examine ex vivo electrophysiological evidence for active compensation in Alzheimer's disease (AD) focusing on the cholinergic innervation of layer 6 in prefrontal cortex. Cholinergic pathways are vulnerable to neuropathology in AD and its preclinical models, and their modulation of deep layer prefrontal cortex is essential for attention and executive function. METHODS We functionally interrogated cholinergic modulation of prefrontal layer 6 pyramidal neurons in two preclinical models: a compound transgenic AD mouse model that permits optogenetically-triggered release of endogenous acetylcholine and a transgenic AD rat model that closely recapitulates the human trajectory of AD. We then tested the impact of therapeutic interventions to further amplify the compensated responses and preserve the typical kinetic profile of cholinergic signaling. RESULTS In two AD models, we found potentially compensatory upregulation of functional cholinergic responses above non-transgenic controls after onset of pathology. To identify the locus of this enhanced cholinergic signal, we dissected key pre- and post-synaptic components with pharmacological strategies. We identified a significant and selective increase in post-synaptic nicotinic receptor signalling on prefrontal cortical neurons. To probe the additional impact of therapeutic intervention on the adapted circuit, we tested cholinergic and nicotinic-selective pro-cognitive treatments. Inhibition of acetylcholinesterase further enhanced endogenous cholinergic responses but greatly distorted their kinetics. Positive allosteric modulation of nicotinic receptors, by contrast, enhanced endogenous cholinergic responses and retained their rapid kinetics. CONCLUSIONS We demonstrate that functional nicotinic upregulation occurs within the prefrontal cortex in two AD models. Promisingly, this nicotinic signal can be further enhanced while preserving its rapid kinetic signature. Taken together, our work suggests that compensatory mechanisms are active within the prefrontal cortex that can be harnessed by nicotinic receptor positive allosteric modulation, highlighting a new direction for cognitive treatment in AD neuropathology.
Collapse
Affiliation(s)
- Saige K Power
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Sridevi Venkatesan
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Sarah Qu
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - JoAnne McLaurin
- Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Biological Sciences, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, M4N 3M5, Canada
| | - Evelyn K Lambe
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada.
- Department of Obstetrics and Gynaecology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5G 1E2, Canada.
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5T 1R8, Canada.
| |
Collapse
|
22
|
Hansen JY, Cauzzo S, Singh K, García-Gomar MG, Shine JM, Bianciardi M, Misic B. Integrating brainstem and cortical functional architectures. Nat Neurosci 2024; 27:2500-2511. [PMID: 39414973 PMCID: PMC11614745 DOI: 10.1038/s41593-024-01787-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 09/13/2024] [Indexed: 10/18/2024]
Abstract
The brainstem is a fundamental component of the central nervous system, yet it is typically excluded from in vivo human brain mapping efforts, precluding a complete understanding of how the brainstem influences cortical function. In this study, we used high-resolution 7-Tesla functional magnetic resonance imaging to derive a functional connectome encompassing cortex and 58 brainstem nuclei spanning the midbrain, pons and medulla. We identified a compact set of integrative hubs in the brainstem with widespread connectivity with cerebral cortex. Patterns of connectivity between brainstem and cerebral cortex manifest as neurophysiological oscillatory rhythms, patterns of cognitive functional specialization and the unimodal-transmodal functional hierarchy. This persistent alignment between cortical functional topographies and brainstem nuclei is shaped by the spatial arrangement of multiple neurotransmitter receptors and transporters. We replicated all findings using 3-Tesla data from the same participants. Collectively, this work demonstrates that multiple organizational features of cortical activity can be traced back to the brainstem.
Collapse
Affiliation(s)
- Justine Y Hansen
- Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - Simone Cauzzo
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
| | - Kavita Singh
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - María Guadalupe García-Gomar
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Escuela Nacional de Estudios Superiores, Unidad Juriquilla, Universidad Nacional Autónoma de México, Querétaro, Mexico
| | - James M Shine
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Marta Bianciardi
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard University, Boston, MA, USA
| | - Bratislav Misic
- Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada.
| |
Collapse
|
23
|
Han S, Tian Y, Zheng R, Wen B, Liu L, Liu H, Wei Y, Chen H, Zhao Z, Xia M, Sun X, Wang X, Wei D, Liu B, Huang CC, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin CP, Tang Y, Wang F, Qiu J, Xie P, Li L, He Y, Chen Y, Zhang Y, Cheng J. Shared differential factors underlying individual spontaneous neural activity abnormalities in major depressive disorder. Psychol Med 2024:1-19. [PMID: 39588672 DOI: 10.1017/s0033291724002617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2024]
Abstract
BACKGROUND In contemporary neuroimaging studies, it has been observed that patients with major depressive disorder (MDD) exhibit aberrant spontaneous neural activity, commonly quantified through the amplitude of low-frequency fluctuations (ALFF). However, the substantial individual heterogeneity among patients poses a challenge to reaching a unified conclusion. METHODS To address this variability, our study adopts a novel framework to parse individualized ALFF abnormalities. We hypothesize that individualized ALFF abnormalities can be portrayed as a unique linear combination of shared differential factors. Our study involved two large multi-center datasets, comprising 2424 patients with MDD and 2183 healthy controls. In patients, individualized ALFF abnormalities were derived through normative modeling and further deconstructed into differential factors using non-negative matrix factorization. RESULTS Two positive and two negative factors were identified. These factors were closely linked to clinical characteristics and explained group-level ALFF abnormalities in the two datasets. Moreover, these factors exhibited distinct associations with the distribution of neurotransmitter receptors/transporters, transcriptional profiles of inflammation-related genes, and connectome-informed epicenters, underscoring their neurobiological relevance. Additionally, factor compositions facilitated the identification of four distinct depressive subtypes, each characterized by unique abnormal ALFF patterns and clinical features. Importantly, these findings were successfully replicated in another dataset with different acquisition equipment, protocols, preprocessing strategies, and medication statuses, validating their robustness and generalizability. CONCLUSIONS This research identifies shared differential factors underlying individual spontaneous neural activity abnormalities in MDD and contributes novel insights into the heterogeneity of spontaneous neural activity abnormalities in MDD.
Collapse
Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ya Tian
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Hao Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Huafu Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongya Zhao
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan Province, China
| | - Mingrui Xia
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiaoyi Sun
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- School of Systems Science, Beijing Normal University, Beijing, China
| | - Xiaoqin Wang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China
- Department of Psychology, Southwest University, Chongqing, China
| | - Dongtao Wei
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China
- Department of Psychology, Southwest University, Chongqing, China
| | - Bangshan Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Mental Health Institute of Central South University, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Chu-Chung Huang
- Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Yanting Zheng
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yankun Wu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Taolin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Tianmei Si
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Shijun Qiu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China
- Department of Psychology, Southwest University, Chongqing, China
| | - Peng Xie
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lingjiang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Mental Health Institute of Central South University, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| |
Collapse
|
24
|
Fang K, Hou Y, Niu L, Han S, Zhang W. Individualized gray matter morphological abnormalities uncover two robust transdiagnostic biotypes. J Affect Disord 2024; 365:193-204. [PMID: 39173920 DOI: 10.1016/j.jad.2024.08.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/22/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
Psychiatric disorders exhibit a shared neuropathology, yet the diverse presentations among patients necessitate the identification of transdiagnostic subtypes to enhance diagnostic and treatment strategies. This study aims to unveil potential transdiagnostic subtypes based on personalized gray matter morphological abnormalities. A total of 496 patients with psychiatric disorders and 255 healthy controls (HCs) from three distinct datasets (one for discovery and two for validation) were enrolled. Individualized gray matter morphological abnormalities were determined using normative modeling to identify transdiagnostic subtypes. In the discovery dataset, two transdiagnostic subtypes with contrasting patterns of structural abnormalities compared to HCs were identified. Reproducibility and generalizability analyses demonstrated that these subtypes could be generalized to new patients and even to new disorders in the validation datasets. These subtypes were characterized by distinct disease epicenters. The gray matter abnormal pattern in subtype 1 was mainly linked to excitatory receptors, whereas subtype 2 showed a predominant association with inhibitory receptors. Furthermore, we observed that the gray matter abnormal pattern in subtype 2 was correlated with transcriptional profiles of inflammation-related genes, while subtype 1 did not show this association. Our findings reveal two robust transdiagnostic biotypes, offering novel insights into psychiatric nosology.
Collapse
Affiliation(s)
- Keke Fang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, China; Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, China; Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, China
| | - Ying Hou
- Department of ultrasound, the affiliated cancer hospital of Zhengzhou University & Henan Cancer Hospital, China
| | - Lianjie Niu
- Department of Breast Disease, Henan Breast Cancer Center, the affiliated Cancer Hidospital of Zhengzhou University & Henan Cancer Hospital, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Henan Province, China.
| | - Wenzhou Zhang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, China; Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, China; Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, China.
| |
Collapse
|
25
|
Russell JK, Conley AC, Boyd BD, Begnoche JP, Schlossberg R, Stranick A, Rosenberg AJ, Acosta LMY, Martin D, Neal Y, Kanel P, Albin RL, Rafii MS, Dumas J, Newhouse PA. Age-Related Changes in the Cholinergic System in Adults with Down Syndrome Assessed Using [ 18F]-Fluoroethoxybenzovesamicol Positron Emission Tomography Imaging. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.28.24316136. [PMID: 39574852 PMCID: PMC11581087 DOI: 10.1101/2024.10.28.24316136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
Adults with Down syndrome are genetically predisposed to developing Alzheimer's disease after the age of 40. The cholinergic system, which is critical for cognitive functioning, is known to decline in Alzheimer's disease and although first investigated in individuals with Down syndrome 40 years ago, remains relatively understudied. Existing studies suggest individuals with Down syndrome have an intact cholinergic system at birth that declines through adulthood alongside the development of Alzheimer's disease pathology. The present study provides the first description of cholinergic terminals in vivo in non-demented adults with Down syndrome utilizing [18F]-fluoroethoxybenzovesamicol PET imaging. In addition, we investigated age-associated decline in cholinergic terminal density. Sixteen non-demented adults with Down syndrome and 20 neurotypically developed individuals were studied, comparing radiotracer uptake groupwise and associations with age utilizing a voxel-based approach. Adults with Down syndrome displayed significantly increased [18F]-fluoroethoxybenzovesamicol uptake in the cerebellum, brainstem, thalamus, and numerous cortical regions compared to age-matched controls. Cholinergic terminal density in numerous cortical regions showed a steeper decline associated with increasing age in adults with Down syndrome than observed in neurotypically developed adults in the age range tested. These data suggest increased cholinergic terminal density in early adulthood in individuals with Down syndrome with a more rapid or earlier age-associated decline than is observed in neurotypically developed individuals.
Collapse
Affiliation(s)
- Jason K Russell
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexander C. Conley
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Brian D. Boyd
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - J. Patrick Begnoche
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rachel Schlossberg
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Allison Stranick
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam J. Rosenberg
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Lealani Mae Y Acosta
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Dann Martin
- Department of Clinical Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Yasmeen Neal
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- University of Michigan Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Ann Arbor, MI, USA
| | - Roger L. Albin
- University of Michigan Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Ann Arbor, MI, USA
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Geriatric Research, Education, and Clinical Center, VAAAHS, Ann Arbor, Michigan, USA
| | - Michael S. Rafii
- Alzheimer’s Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego, California, USA
| | - Julie Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Paul A. Newhouse
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, Tennessee, USA
| |
Collapse
|
26
|
de Figueiredo Pelegrino A, Attarha M, Toussaint PJ, Ouellet L, Grant SJ, Van Vleet T, de Villers-Sidani E. Cholinergic neurotransmission in the anterior cingulate cortex is associated with cognitive performance in healthy older adults: Baseline characteristics of the Improving Neurological Health in Aging via Neuroplasticity-based Computerized Exercise (INHANCE) trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.30.24316439. [PMID: 39574863 PMCID: PMC11581060 DOI: 10.1101/2024.10.30.24316439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2025]
Abstract
Aging is associated with dysfunction in the cholinergic system, including degeneration of basal forebrain cholinergic terminals that innervate the cortex, which directly contributes to age- and disease-related cognitive decline. In this study, we used [18F]fluoroethoxybenzovesamicol ([18F]FEOBV) positron emission tomography (PET) imaging to assess the effect of age on cholinergic terminal integrity in predefined regions of interest and its relationship to cognitive performance in healthy older adults who underwent neuropsychological assessment and FEOBV PET brain imaging. Our results showed age-related reductions in FEOBV binding, particularly in the anterior cingulate cortex-our primary region of interest-as well as in the striatum, posterior cingulate cortex, and primary auditory cortex. Notably, FEOBV binding in the anterior cingulate cortex was positively correlated with cognitive performance on the NIH EXAMINER Executive Composite Score. These findings suggest that [18F]FEOBV PET imaging can be used as a reliable biomarker to assess cholinergic changes in the human brain and indicate that preserving the cholinergic integrity of the basal forebrain may help maintain cognitive function and protect against age-related cognitive decline.
Collapse
|
27
|
Xu X, Zhao H, Song Y, Cai H, Zhao W, Tang J, Zhu J, Yu Y. Molecular mechanisms underlying the neural correlates of working memory. BMC Biol 2024; 22:238. [PMID: 39428484 PMCID: PMC11492763 DOI: 10.1186/s12915-024-02039-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 10/11/2024] [Indexed: 10/22/2024] Open
Abstract
BACKGROUND Working memory (WM), a core component of executive functions, relies on a dedicated brain system that maintains and stores information in the short term. While extensive neuroimaging research has identified a distributed set of neural substrates relevant to WM, their underlying molecular mechanisms remain enigmatic. This study investigated the neural correlates of WM as well as their underlying molecular mechanisms. RESULTS Our voxel-wise analyses of resting-state functional MRI data from 502 healthy young adults showed that better WM performance (higher accuracy and shorter reaction time of the 3-back task) was associated with lower functional connectivity density (FCD) in the left inferior temporal gyrus and higher FCD in the left anterior cingulate cortex. A combination of transcriptome-neuroimaging spatial correlation and the ensemble-based gene category enrichment analysis revealed that the identified neural correlates of WM were associated with expression of diverse gene categories involving important cortical components and their biological processes as well as sodium channels. Cross-region spatial correlation analyses demonstrated significant associations between the neural correlates of WM and a range of neurotransmitters including dopamine, glutamate, serotonin, and acetylcholine. CONCLUSIONS These findings may help to shed light on the molecular mechanisms underlying the neural correlates of WM.
Collapse
Affiliation(s)
- Xiaotao Xu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Han Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Yu Song
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Wenming Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China
| | - Jin Tang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230026, China.
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, 230032, China.
| |
Collapse
|
28
|
Chakraborty S, Haast RAM, Onuska KM, Kanel P, Prado MAM, Prado VF, Khan AR, Schmitz TW. Multimodal gradients of basal forebrain connectivity across the neocortex. Nat Commun 2024; 15:8990. [PMID: 39420185 PMCID: PMC11487139 DOI: 10.1038/s41467-024-53148-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 10/01/2024] [Indexed: 10/19/2024] Open
Abstract
Cortical cholinergic projections originate from subregions of the basal forebrain (BF). To examine its organization in humans, we computed multimodal gradients of BF connectivity by combining 7 T diffusion and resting state functional MRI. Moving from anteromedial to posterolateral BF, we observe reduced tethering between structural and functional connectivity gradients, with the lowest tethering in the nucleus basalis of Meynert. In the neocortex, this gradient is expressed by progressively reduced tethering from unimodal sensory to transmodal cortex, with the lowest tethering in the midcingulo-insular network, and is also spatially correlated with the molecular concentration of VAChT, measured by [18F]fluoroethoxy-benzovesamicol (FEOBV) PET. In mice, viral tracing of BF cholinergic projections and [18F]FEOBV PET confirm a gradient of axonal arborization. Altogether, our findings reveal that BF cholinergic neurons vary in their branch complexity, with certain subpopulations exhibiting greater modularity and others greater diffusivity in the functional integration with their cortical targets.
Collapse
Affiliation(s)
- Sudesna Chakraborty
- Neuroscience Graduate Program, Western University, London, Ontario, Canada.
- Robarts Research Institute, Western University, London, Ontario, Canada.
- Department of Integrated Information Technology, Aoyama Gakuin University, Sagamihara, Kanagawa, Japan.
| | - Roy A M Haast
- Robarts Research Institute, Western University, London, Ontario, Canada
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France
| | - Kate M Onuska
- Neuroscience Graduate Program, Western University, London, Ontario, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
- Lawson Health Research Institute, Western University, London, Ontario, Canada
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Morris K.Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA
- Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA
| | - Marco A M Prado
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Physiology and Pharmacology, Western University, London, Ontario, Canada
- Department of Anatomy and Cell Biology, Western University, London, Ontario, Canada
| | - Vania F Prado
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Physiology and Pharmacology, Western University, London, Ontario, Canada
- Department of Anatomy and Cell Biology, Western University, London, Ontario, Canada
| | - Ali R Khan
- Neuroscience Graduate Program, Western University, London, Ontario, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Taylor W Schmitz
- Neuroscience Graduate Program, Western University, London, Ontario, Canada.
- Robarts Research Institute, Western University, London, Ontario, Canada.
- Lawson Health Research Institute, Western University, London, Ontario, Canada.
- Department of Physiology and Pharmacology, Western University, London, Ontario, Canada.
| |
Collapse
|
29
|
Liu C, Zhuang K, Zeitlen DC, Chen Q, Wang X, Feng Q, Beaty RE, Qiu J. Neural, genetic, and cognitive signatures of creativity. Commun Biol 2024; 7:1324. [PMID: 39402209 PMCID: PMC11473644 DOI: 10.1038/s42003-024-07007-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 10/02/2024] [Indexed: 10/19/2024] Open
Abstract
Creativity is typically operationalized as divergent thinking (DT) ability, a form of higher-order cognition which relies on memory, attention, and other component processes. Despite recent advances, creativity neuroscience lacks a unified framework to model its complexity across neural, genetic, and cognitive scales. Using task-based fMRI from two independent samples and MVPA, we identified a neural pattern that predicts DT, validated through cognitive decoding, genetic data, and large-scale resting-state fMRI. Our findings reveal that DT neural patterns span brain regions associated with diverse cognitive functions, with positive weights in the default mode and frontoparietal control networks and negative weights in the visual network. The high correlation with the primary gradient of functional connectivity suggests that DT involves extensive integration from concrete sensory information to abstract, higher-level cognition, distinguishing it from other advanced cognitive functions. Moreover, neurobiological analyses show that the DT pattern is positively correlated with dopamine-related neurotransmitters and genes influencing neurotransmitter release, advancing the neurobiological understanding of creativity.
Collapse
Affiliation(s)
- Cheng Liu
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Kaixiang Zhuang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Daniel C Zeitlen
- Department of Psychology, Pennsylvania State University, Pennsylvania, USA
| | - Qunlin Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xueyang Wang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Qiuyang Feng
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Roger E Beaty
- Department of Psychology, Pennsylvania State University, Pennsylvania, USA
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
| |
Collapse
|
30
|
Yuan L, Chu Z, Chen X, He M, Lu Y, Xu X, Shen Z. Structural Neuroimaging and Molecular Signatures of Drug-Naive Depression With Melancholic Features. Depress Anxiety 2024; 2024:9680180. [PMID: 40226700 PMCID: PMC11919201 DOI: 10.1155/2024/9680180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 08/20/2024] [Accepted: 09/14/2024] [Indexed: 04/15/2025] Open
Abstract
Objectives: Melancholic depression (MD) is a common subtype of major depressive disorder (MDD). It is difficult to treat because its neurobiological basis is poorly understood. Therefore, to investigate whether MD patients have any structural changes in gray matter (GM) and the molecular foundation of these changes, we combined voxel-based morphometry (VBM) analysis with neurotransmitter system-derived mapping from public data. Methods: 137 drug-naive MDD patients and 75 healthy controls (HCs) were recruited for structural magnetic resonance imaging. The imaging results were analyzed using VBM analysis. MDD patients were then divided into MD and nonmelancholic depression (NMD) subgroups according to their scores on the Montgomery-Asberg Depression Rating Scale (MADRS) and the Hamilton Depression Rating Scale. Next, we analyzed the spatial correlation between the changes in the gray matter volume (GMV) maps and the neurotransmitter receptor/transporter protein density maps provided by the JuSpace toolbox. Results: Compared to HCs, patients with MD had significant GMV reduction in the bilateral hippocampus, bilateral thalamus, right amygdala, and right posterior cingulate cortex (PCC)/precuneus. Compared to patients with NMD, MD patients had significant GMV reduction in the bilateral PCC/precuneus and lateral occipital cortex. Moreover, compared to HCs, changes in GMV introduced by MD were spatially associated with the serotonin transporter, cannabinoid receptor, and μ-opioid receptor. Compared to NMD patients, changes in GMV introduced by MD were spatially associated with the vesicular acetylcholine transporter. Conclusion: The present study discovered abnormal GMV alterations in patients with subtypes of depression. We also found a series of neurotransmitter receptors that may be associated with the alterations. The findings of the current study may provide a more comprehensive understanding of the molecular mechanisms underlying the structural abnormalities in subtypes of depression and potentially offer new insights into developing new therapeutic strategies.
Collapse
Affiliation(s)
- Lijin Yuan
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Zhaosong Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Xianyu Chen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Yi Lu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
- Yunnan Clinical Research Center for Mental Disorders, Kunming 650032, China
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
- Yunnan Clinical Research Center for Mental Disorders, Kunming 650032, China
| |
Collapse
|
31
|
Kasper J, Caspers S, Lotter LD, Hoffstaedter F, Eickhoff SB, Dukart J. Resting-State Changes in Aging and Parkinson's Disease Are Shaped by Underlying Neurotransmission: A Normative Modeling Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:986-997. [PMID: 38679325 DOI: 10.1016/j.bpsc.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/15/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Human healthy and pathological aging is linked to a steady decline in brain resting-state activity and connectivity measures. The neurophysiological mechanisms that underlie these changes remain poorly understood. METHODS Making use of recent developments in normative modeling and availability of in vivo maps for various neurochemical systems, we tested in the UK Biobank cohort (n = 25,917) whether and how age- and Parkinson's disease-related resting-state changes in commonly applied local and global activity and connectivity measures colocalize with underlying neurotransmitter systems. RESULTS We found that the distributions of several major neurotransmitter systems including serotonergic, dopaminergic, noradrenergic, and glutamatergic neurotransmission correlated with age-related changes across functional activity and connectivity measures. Colocalization patterns in Parkinson's disease deviated from normative aging trajectories for these, as well as for cholinergic and GABAergic (gamma-aminobutyric acidergic) neurotransmission. The deviation from normal colocalization of brain function and GABAA correlated with disease duration. CONCLUSIONS These findings provide new insights into molecular mechanisms underlying age- and Parkinson's-related brain functional changes by extending the existing evidence elucidating the vulnerability of specific neurochemical attributes to normal aging and Parkinson's disease. The results particularly indicate that alongside dopamine and serotonin, increased vulnerability of glutamatergic, cholinergic, and GABAergic systems may also contribute to Parkinson's disease-related functional alterations. Combining normative modeling and neurotransmitter mapping may aid future research and drug development through deeper understanding of neurophysiological mechanisms that underlie specific clinical conditions.
Collapse
Affiliation(s)
- Jan Kasper
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Svenja Caspers
- Institute for Anatomy I, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Leon D Lotter
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Max Planck School of Cognition, Leipzig, Germany
| | - Felix Hoffstaedter
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Juergen Dukart
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany.
| |
Collapse
|
32
|
Weinstein JJ, Moeller SJ, Perlman G, Gil R, Van Snellenberg JX, Wengler K, Meng J, Slifstein M, Abi-Dargham A. Imaging the Vesicular Acetylcholine Transporter in Schizophrenia: A Positron Emission Tomography Study Using [ 18F]-VAT. Biol Psychiatry 2024; 96:352-364. [PMID: 38309322 DOI: 10.1016/j.biopsych.2024.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/10/2024] [Accepted: 01/23/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Despite longstanding interest in the central cholinergic system in schizophrenia (SCZ), cholinergic imaging studies with patients have been limited to receptors. Here, we conducted a proof-of-concept positron emission tomography study using [18F]-VAT, a new radiotracer that targets the vesicular acetylcholine transporter as a proxy measure of acetylcholine transmission capacity, in patients with SCZ and explored relationships of vesicular acetylcholine transporter with clinical symptoms and cognition. METHODS A total of 18 adult patients with SCZ or schizoaffective disorder (the SCZ group) and 14 healthy control participants underwent a positron emission tomography scan with [18F]-VAT. Distribution volume (VT) for [18F]-VAT was derived for each region of interest, and group differences in VT were assessed with 2-sample t tests. Functional significance was explored through correlations between VT and scores on the Positive and Negative Syndrome Scale and a computerized neurocognitive battery (PennCNB). RESULTS No group differences in [18F]-VAT VT were observed. However, within the SCZ group, psychosis symptom severity was positively associated with VT in multiple regions of interest, with the strongest effects in the hippocampus, thalamus, midbrain, cerebellum, and cortex. In addition, in the SCZ group, working memory performance was negatively associated with VT in the substantia innominata and several cortical regions of interest including the dorsolateral prefrontal cortex. CONCLUSIONS In this initial study, the severity of 2 important features of SCZ-psychosis and working memory deficit-was strongly associated with [18F]-VAT VT in several cortical and subcortical regions. These correlations provide preliminary evidence of cholinergic activity involvement in SCZ and, if replicated in larger samples, could lead to a more complete mechanistic understanding of psychosis and cognitive deficits in SCZ and the development of therapeutic targets.
Collapse
Affiliation(s)
- Jodi J Weinstein
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York; Department of Psychiatry, Columbia University Vagelos School of Medicine and New York State Psychiatric Institute, New York, New York.
| | - Scott J Moeller
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York
| | - Greg Perlman
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York
| | - Roberto Gil
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York
| | - Jared X Van Snellenberg
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York; Department of Psychology, Stony Brook University, Stony Brook, New York
| | - Kenneth Wengler
- Department of Psychiatry, Columbia University Vagelos School of Medicine and New York State Psychiatric Institute, New York, New York; Department of Radiology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York
| | - Jiayan Meng
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York
| | - Mark Slifstein
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York
| | - Anissa Abi-Dargham
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, New York; Department of Psychiatry, Columbia University Vagelos School of Medicine and New York State Psychiatric Institute, New York, New York
| |
Collapse
|
33
|
Luppi AI, Singleton SP, Hansen JY, Jamison KW, Bzdok D, Kuceyeski A, Betzel RF, Misic B. Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies. Nat Biomed Eng 2024; 8:1142-1161. [PMID: 39103509 PMCID: PMC11410673 DOI: 10.1038/s41551-024-01242-2] [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: 03/21/2023] [Accepted: 07/02/2024] [Indexed: 08/07/2024]
Abstract
The mechanisms linking the brain's network structure to cognitively relevant activation patterns remain largely unknown. Here, by leveraging principles of network control, we show how the architecture of the human connectome shapes transitions between 123 experimentally defined cognitive activation maps (cognitive topographies) from the NeuroSynth meta-analytic database. Specifically, we systematically integrated large-scale multimodal neuroimaging data from functional magnetic resonance imaging, diffusion tractography, cortical morphometry and positron emission tomography to simulate how anatomically guided transitions between cognitive states can be reshaped by neurotransmitter engagement or by changes in cortical thickness. Our model incorporates neurotransmitter-receptor density maps (18 receptors and transporters) and maps of cortical thickness pertaining to a wide range of mental health, neurodegenerative, psychiatric and neurodevelopmental diagnostic categories (17,000 patients and 22,000 controls). The results provide a comprehensive look-up table charting how brain network organization and chemoarchitecture interact to manifest different cognitive topographies, and establish a principled foundation for the systematic identification of ways to promote selective transitions between cognitive topographies.
Collapse
Affiliation(s)
- Andrea I Luppi
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
| | - S Parker Singleton
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Keith W Jamison
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Danilo Bzdok
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- MILA, Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Richard F Betzel
- Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
34
|
Bohnen NI, Marusic U, Roytman S, Paalanen R, Michalakis F, Brown T, Scott PJH, Carli G, Albin RL, Kanel P. Dynamic balance and gait impairments in Parkinson's disease: novel cholinergic patterns. Brain Commun 2024; 6:fcae286. [PMID: 39252998 PMCID: PMC11382145 DOI: 10.1093/braincomms/fcae286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/16/2024] [Accepted: 08/22/2024] [Indexed: 09/11/2024] Open
Abstract
The cholinergic system has been implicated in postural deficits, in particular falls, in Parkinson's disease (PD). Falls and freezing of gait typically occur during dynamic and challenging balance and gait conditions, such as when initiating gait, experiencing postural perturbations, or making turns. However, the precise cholinergic neural substrate underlying dynamic postural and gait changes remains poorly understood. The aim of this study was to investigate whether brain vesicular acetylcholine transporter binding, as measured with [18F]-fluoroethoxybenzovesamicol binding PET, correlates with dynamic gait and balance impairments in 125 patients with PD (mean age 66.89 ± 7.71 years) using the abbreviated balance evaluation systems test total and its four functional domain sub-scores (anticipatory postural control, reactive postural control, dynamic gait, and sensory integration). Whole brain false discovery-corrected (P < 0.05) correlations for total abbreviated balance evaluation systems test scores included the following bilateral or asymmetric hemispheric regions: gyrus rectus, orbitofrontal cortex, anterior part of the dorsomedial prefrontal cortex, dorsolateral prefrontal cortex, cingulum, frontotemporal opercula, insula, fimbria, right temporal pole, mesiotemporal, parietal and visual cortices, caudate nucleus, lateral and medial geniculate bodies, thalamus, lingual gyrus, cerebellar hemisphere lobule VI, left cerebellar crus I, superior cerebellar peduncles, flocculus, and nodulus. No significant correlations were found for the putamen or anteroventral putamen. The four domain-specific sub-scores demonstrated overlapping cholinergic topography in the metathalamus, fimbria, thalamus proper, and prefrontal cortices but also showed distinct topographic variations. For example, reactive postural control functions involved the right flocculus but not the upper brainstem regions. The anterior cingulum associated with reactive postural control whereas the posterior cingulum correlated with anticipatory control. The spatial extent of associated cholinergic system changes were least for dynamic gait and sensory orientation functional domains compared to the anticipatory and reactive postural control functions. We conclude that specific aspects of dynamic balance and gait deficits in PD associate with overlapping but also distinct patterns of cerebral cholinergic system changes in numerous brain regions. Our study also presents novel evidence of cholinergic topography involved in dynamic balance and gait in PD that have not been typically associated with mobility disturbances, such as the right anterior temporal pole, right anterior part of the dorsomedial prefrontal cortex, gyrus rectus, fimbria, lingual gyrus, flocculus, nodulus, and right cerebellar hemisphere lobules VI and left crus I.
Collapse
Affiliation(s)
- Nicolaas I Bohnen
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Department of Neurology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Parkinson’s Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI 48105-9755, USA
| | - Uros Marusic
- Institute for Kinesiology Research, Science and Research Centre Koper, 6000 Koper, Slovenia, EU
- Department of Health Sciences, Alma Mater Europaea University, 2000 Maribor, Slovenia, EU
| | - Stiven Roytman
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105-9755, USA
| | - Rebecca Paalanen
- Department of Neurology, University of Michigan, Ann Arbor, MI 48105-9755, USA
| | - Fotini Michalakis
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105-9755, USA
| | - Taylor Brown
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI 48105-9755, USA
| | - Peter J H Scott
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105-9755, USA
| | - Giulia Carli
- Department of Neurology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105-9755, USA
| | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Parkinson’s Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI 48105-9755, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105-9755, USA
- Parkinson’s Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48105-9755, USA
| |
Collapse
|
35
|
Legault-Denis C, Aumont É, Onuska KM, Schmitz TW, Bussy A, Chakravarty M, Soucy JP, Bédard MA. Parkinson's disease CA2-CA3 hippocampal atrophy is accompanied by increased cholinergic innervation in patients with normal cognition but not in patients with mild cognitive impairment. Brain Imaging Behav 2024; 18:783-793. [PMID: 38478257 DOI: 10.1007/s11682-024-00872-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2024] [Indexed: 08/31/2024]
Abstract
Although brain cholinergic denervation has been largely associated with cognitive decline in patients with Parkinson's disease (PD), new evidence suggests that cholinergic upregulation occurs in the hippocampus of PD patients without cognitive deficits. The specific hippocampal sectors and potential mechanisms of this cholinergic compensatory process have been further studied here, using MRI volumetry and morphometry coupled with molecular imaging using the PET radiotracer [18F]-Fluoroethoxybenzovesamicol ([18F]-FEOBV). Following a thorough screening procedure, 18 participants were selected and evenly distributed in three groups, including cognitively normal PD patients (PD-CN), PD patients with mild cognitive impairment (PD-MCI), and healthy volunteers (HV). Participants underwent a detailed neuropsychological assessment, structural MRI, and PET imaging with [18F]-FEOBV. Basal forebrain Ch1-Ch2 volumes were measured using stereotaxic mapping. Hippocampal subfields were automatically defined using the MAGeT-Brain segmentation algorithm. Cholinergic innervation density was quantified using [18F]-FEOBV uptake. Compared with HV, both PD-CN and PD-MCI displayed significantly reduced volumes in CA2-CA3 bilaterally. We found no other hippocampal subfield nor Ch1-Ch2 volume differences between the three groups. PET imaging revealed higher [18F]-FEOBV uptake in CA2-CA3 of the PD-CN compared with HV or PD-MCI. A positive correlation was observed between cognitive performances and [18F]-FEOBV uptake in the right CA2-CA3 subfield. Reduced volume, together with increased [18F]-FEOBV uptake, were observed specifically in the CA2-CA3 hippocampal subfields. However, while the volume change was observed in both PD-CN and PD-MCI, increased [18F]-FEOBV uptake was present only in the PD-CN group. This suggests that a cholinergic compensatory process takes place in the atrophied CA2-CA3 hippocampal subfields and might underlie normal cognition in PD.
Collapse
Affiliation(s)
- Camille Legault-Denis
- NeuroQAM Research Center, Université du Québec à Montréal (UQAM), Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute (MNI), Montreal, QC, Canada
| | - Étienne Aumont
- NeuroQAM Research Center, Université du Québec à Montréal (UQAM), Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute (MNI), Montreal, QC, Canada
| | - Kate M Onuska
- Schulich Medicine and Dentistry, Western University, London, ON, Canada
| | - Taylor W Schmitz
- Schulich Medicine and Dentistry, Western University, London, ON, Canada
- Department of Physiology and Pharmacology, Western University, London, ON, Canada
| | - Aurélie Bussy
- Computational Brain Anatomy Laboratory (CoBrA Lab), Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Mallar Chakravarty
- Computational Brain Anatomy Laboratory (CoBrA Lab), Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Jean-Paul Soucy
- McConnell Brain Imaging Center, Montreal Neurological Institute (MNI), Montreal, QC, Canada
| | - Marc-André Bédard
- NeuroQAM Research Center, Université du Québec à Montréal (UQAM), Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute (MNI), Montreal, QC, Canada.
| |
Collapse
|
36
|
Reitz NL, Nunes PT, Savage LM. Adolescent alcohol exposure alters age-related progression of behavioral and neurotrophic dysfunction in the TgF344-AD model in a sex-specific manner. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.17.603911. [PMID: 39091885 PMCID: PMC11291002 DOI: 10.1101/2024.07.17.603911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Alzheimer's Disease (AD) and heavy alcohol use are widely prevalent and lead to brain pathology. Both alcohol-related brain damage (ABRD) and AD result in cholinergic dysfunction, reductions in hippocampal neurogenesis, and the emergence of hippocampal-dependent cognitive impairments. It is still unknown how ARBD caused during a critical developmental timepoint, such as adolescence, interacts with AD-related pathologies to accelerate disease progression later in life. The current study utilized a longitudinal design to characterize behavioral and pathological changes in a transgenic rat model of AD (TgF344-AD) following adolescent intermittent ethanol (AIE) exposure. We found that AIE accelerates cognitive decline associated with AD transgenes in female rats at 6 months of age, and male AD-rats are impaired on spatial navigation by 3-months with no additional deficits due to AIE exposure. Protein levels of various AD-pathological markers were analyzed in the dorsal and ventral hippocampus of male and female rats. The data suggests that AIE-induced alterations of the tropomyosin-related kinase A receptor (TrkA) / p75 neurotrophin receptor (p75NTR) ratio creates a brain that is vulnerable to age- and AD-related pathologies, which leads to an acceleration of cognitive decline, particularly in female rats.
Collapse
|
37
|
Brown T, Kanel P, Carli G, Barr J, Bohnen NI, Albin RL. Cognitive and Cholinergic Systems Trajectories in Parkinson Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.17.24310588. [PMID: 39072022 PMCID: PMC11275672 DOI: 10.1101/2024.07.17.24310588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Objective Cognitive decline in Parkinson disease (PD) is a disabling and highly variable non-motor feature. While cholinergic systems degeneration is linked to cognitive impairments in PD, most prior research reported cross-sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ligand [ 18 F]-fluoroethoxybenzovesamicol ([ 18 F]-FEOBV) binding predicts longitudinal cognitive changes in mild to moderate, non-demented PD subjects. Methods Seventy-five non-demented, mild-moderate PD subjects received baseline standardized cognitive evaluations and [ 18 F]-FEOBV PET imaging with repeat cognitive evaluations 2 years later. Participants were classified into four cognitive classes based on stability or change in cognition: Persistent normal (no MCI at baseline and follow-up), Persistent MCI, MCI conversion, and MCI reversion. Whole-brain voxel comparisons with normal controls, and voxel-based and cluster volume-of-interest correlation analyses with longitudinal cognitive changes were performed. Results Whole-brain voxel comparisons of each class with a matched control group revealed unique bi-directional differences in baseline regional [ 18 F]-FEOBV binding. Increased regional [ 18 F]-FEOBV binding in predominantly anterior cortical and sub-cortical regions was found in the persistent normal and MCI reversion groups. Whole-brain voxel correlation analysis between baseline [ 18 F]-FEOBV binding and two-year longitudinal percent changes in cognition identified a specific regional pattern of reduced posterior cortical, limbic and paralimbic [ 18 F]-FEOBV binding predictive of global cognitive declines and across five cognitive domains at two-year follow-ups. Interpretation Cholinergic system changes correlate with varying cognitive trajectories in mild-moderate PD. Upregulation of cholinergic neurotransmission may be an important compensatory process in mild-moderate PD.
Collapse
|
38
|
Okkels N, Grothe MJ, Taylor JP, Hasselbalch SG, Fedorova TD, Knudsen K, van der Zee S, van Laar T, Bohnen NI, Borghammer P, Horsager J. Cholinergic changes in Lewy body disease: implications for presentation, progression and subtypes. Brain 2024; 147:2308-2324. [PMID: 38437860 DOI: 10.1093/brain/awae069] [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: 12/20/2023] [Revised: 02/05/2024] [Accepted: 02/13/2024] [Indexed: 03/06/2024] Open
Abstract
Cholinergic degeneration is significant in Lewy body disease, including Parkinson's disease, dementia with Lewy bodies, and isolated REM sleep behaviour disorder. Extensive research has demonstrated cholinergic alterations in the CNS of these disorders. More recently, studies have revealed cholinergic denervation in organs that receive parasympathetic denervation. This enables a comprehensive review of cholinergic changes in Lewy body disease, encompassing both central and peripheral regions, various disease stages and diagnostic categories. Across studies, brain regions affected in Lewy body dementia show equal or greater levels of cholinergic impairment compared to the brain regions affected in Lewy body disease without dementia. This observation suggests a continuum of cholinergic alterations between these disorders. Patients without dementia exhibit relative sparing of limbic regions, whereas occipital and superior temporal regions appear to be affected to a similar extent in patients with and without dementia. This implies that posterior cholinergic cell groups in the basal forebrain are affected in the early stages of Lewy body disorders, while more anterior regions are typically affected later in the disease progression. The topographical changes observed in patients affected by comorbid Alzheimer pathology may reflect a combination of changes seen in pure forms of Lewy body disease and those seen in Alzheimer's disease. This suggests that Alzheimer co-pathology is important to understand cholinergic degeneration in Lewy body disease. Thalamic cholinergic innervation is more affected in Lewy body patients with dementia compared to those without dementia, and this may contribute to the distinct clinical presentations observed in these groups. In patients with Alzheimer's disease, the thalamus is variably affected, suggesting a different sequential involvement of cholinergic cell groups in Alzheimer's disease compared to Lewy body disease. Patients with isolated REM sleep behaviour disorder demonstrate cholinergic denervation in abdominal organs that receive parasympathetic innervation from the dorsal motor nucleus of the vagus, similar to patients who experienced this sleep disorder in their prodrome. This implies that REM sleep behaviour disorder is important for understanding peripheral cholinergic changes in both prodromal and manifest phases of Lewy body disease. In conclusion, cholinergic changes in Lewy body disease carry implications for understanding phenotypes and the influence of Alzheimer co-pathology, delineating subtypes and pathological spreading routes, and for developing tailored treatments targeting the cholinergic system.
Collapse
Affiliation(s)
- Niels Okkels
- Department of Neurology, Aarhus University Hospital, 8200 Aarhus N, Denmark
- Department of Nuclear Medicine and PET, Aarhus University Hospital, 8200 Aarhus N, Denmark
| | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013 Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Reina Sofia Alzheimer's Centre, CIEN Foundation-ISCIII, 28031 Madrid, Spain
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Steen Gregers Hasselbalch
- Danish Dementia Research Center, Department of Neurology, Copenhagen University Hospital, 2100 Copenhagen Ø, Denmark
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen Ø, Denmark
| | - Tatyana D Fedorova
- Department of Nuclear Medicine and PET, Aarhus University Hospital, 8200 Aarhus N, Denmark
| | - Karoline Knudsen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, 8200 Aarhus N, Denmark
| | - Sygrid van der Zee
- Department of Neurology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Teus van Laar
- Department of Neurology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Nicolaas I Bohnen
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
- Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
- Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48109, USA
- Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48109, USA
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, 8200 Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
| | - Jacob Horsager
- Department of Nuclear Medicine and PET, Aarhus University Hospital, 8200 Aarhus N, Denmark
| |
Collapse
|
39
|
O'Donnell JL, Soda AK, Jiang H, Norris SA, Maiti B, Karimi M, Campbell MC, Moerlein SM, Tu Z, Perlmutter JS. PET Quantification of [ 18F]VAT in Human Brain and Its Test-Retest Reproducibility and Age Dependence. J Nucl Med 2024; 65:956-961. [PMID: 38604762 PMCID: PMC11149597 DOI: 10.2967/jnumed.123.266860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/13/2024] [Indexed: 04/13/2024] Open
Abstract
Molecular imaging of brain vesicular acetylcholine transporter provides a biomarker to explore cholinergic systems in humans. We aimed to characterize the distribution of, and optimize methods to quantify, the vesicular acetylcholine transporter-specific tracer (-)-(1-(8-(2-[18F]fluoroethoxy)-3-hydroxy-1,2,3,4-tetrahydronaphthalen-2-yl)-piperidin-4-yl)(4-fluorophenyl)methanone ([18F]VAT) in the brain using PET. Methods: Fifty-two healthy participants aged 21-97 y had brain PET with [18F]VAT. [3H]VAT autoradiography identified brain areas devoid of specific binding in cortical white matter. PET image-based white matter reference region size, model start time, and duration were optimized for calculations of Logan nondisplaceable binding potential (BPND). Ten participants had 2 scans to determine test-retest variability. Finally, we analyzed age-dependent differences in participants. Results: [18F]VAT was widely distributed in the brain, with high striatal, thalamic, amygdala, hippocampal, cerebellar vermis, and regionally specific uptake in the cerebral cortex. [3H]VAT autoradiography-specific binding and PET [18F]VAT uptake were low in white matter. [18F]VAT SUVs in the white matter reference region correlated with age, requiring stringent erosion parameters. Logan BPND estimates stabilized using at least 40 min of data starting 25 min after injection. Test-retest variability had excellent reproducibility and reliability in repeat BPND calculations for 10 participants (putamen, 6.8%; r > 0.93). We observed age-dependent decreases in the caudate and putamen (multiple comparisons corrected) and in numerous cortical regions. Finally, we provide power tables to indicate potential mean differences that can be detected between 2 groups of participants. Conclusion: These results validate a reference region for BPND calculations and demonstrate the viability, reproducibility, and utility of using the [18F]VAT tracer in humans to quantify cholinergic pathways.
Collapse
Affiliation(s)
- John L O'Donnell
- Neurology, Washington University in Saint Louis, St. Louis, Missouri;
| | - Anil Kumar Soda
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Hao Jiang
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Scott A Norris
- Neurology, Washington University in Saint Louis, St. Louis, Missouri
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Baijayanta Maiti
- Neurology, Washington University in Saint Louis, St. Louis, Missouri
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Morvarid Karimi
- Neurology, Washington University in Saint Louis, St. Louis, Missouri
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Meghan C Campbell
- Neurology, Washington University in Saint Louis, St. Louis, Missouri
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Stephen M Moerlein
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
- Biochemistry and Molecular Biophysics, Washington University in Saint Louis, St. Louis, Missouri; and
| | - Zhude Tu
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
| | - Joel S Perlmutter
- Neurology, Washington University in Saint Louis, St. Louis, Missouri
- Radiology, Washington University in Saint Louis, St. Louis, Missouri
- Neuroscience, Physical, and Occupational Therapy, Washington University in Saint Louis, St. Louis, Missouri
| |
Collapse
|
40
|
Booth S, Ko JH. Radionuclide Imaging of the Neuroanatomical and Neurochemical Substrate of Cognitive Decline in Parkinson's Disease. Nucl Med Mol Imaging 2024; 58:213-226. [PMID: 38932760 PMCID: PMC11196570 DOI: 10.1007/s13139-024-00842-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/10/2024] [Accepted: 01/17/2024] [Indexed: 06/28/2024] Open
Abstract
Cognitive impairment is a frequent manifestation of Parkinson's disease (PD), resulting in decrease in patients' quality of life and increased societal and economic burden. However, cognitive decline in PD is highly heterogenous and the mechanisms are poorly understood. Radionuclide imaging techniques like positron emission tomography (PET) and single photon emission computed tomography (SPECT) have been used to investigate the neurochemical and neuroanatomical substrate of cognitive decline in PD. These techniques allow the assessment of different neurotransmitter systems, changes in brain glucose metabolism, proteinopathy, and neuroinflammation in vivo in PD patients. Here, we review current radionuclide imaging research on cognitive deficit in PD with a focus on predicting accelerating cognitive decline. This research could assist in the development of prognostic biomarkers for patient stratification and have utility in the development of ameliorative or disease-modifying therapies targeting cognitive deficit in PD.
Collapse
Affiliation(s)
- Samuel Booth
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, 130-745 Bannatyne Ave, Winnipeg, MB R3E 0J9 Canada
- PrairieNeuro Research Centre, Kleysen Institute of Advanced Medicine, Health Science Centre, Winnipeg, Canada
| | - Ji Hyun Ko
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, 130-745 Bannatyne Ave, Winnipeg, MB R3E 0J9 Canada
- PrairieNeuro Research Centre, Kleysen Institute of Advanced Medicine, Health Science Centre, Winnipeg, Canada
| |
Collapse
|
41
|
Morys F, Tremblay C, Rahayel S, Hansen JY, Dai A, Misic B, Dagher A. Neural correlates of obesity across the lifespan. Commun Biol 2024; 7:656. [PMID: 38806652 PMCID: PMC11133431 DOI: 10.1038/s42003-024-06361-9] [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: 12/04/2023] [Accepted: 05/20/2024] [Indexed: 05/30/2024] Open
Abstract
Associations between brain and obesity are bidirectional: changes in brain structure and function underpin over-eating, while chronic adiposity leads to brain atrophy. Investigating brain-obesity interactions across the lifespan can help better understand these relationships. This study explores the interaction between obesity and cortical morphometry in children, young adults, adults, and older adults. We also investigate the genetic, neurochemical, and cognitive correlates of the brain-obesity associations. Our findings reveal a pattern of lower cortical thickness in fronto-temporal brain regions associated with obesity across all age cohorts and varying age-dependent patterns in the remaining brain regions. In adults and older adults, obesity correlates with neurochemical changes and expression of inflammatory and mitochondrial genes. In children and older adults, adiposity is associated with modifications in brain regions involved in emotional and attentional processes. Thus, obesity might originate from cognitive changes during early adolescence, leading to neurodegeneration in later life through mitochondrial and inflammatory mechanisms.
Collapse
Affiliation(s)
- Filip Morys
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada.
| | - Christina Tremblay
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Shady Rahayel
- Department of Medicine and Medical Specialties, University of Montreal, Montreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Hopital du Sacre-Coeur de Montreal, Montreal, QC, Canada
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Alyssa Dai
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| |
Collapse
|
42
|
Chakraborty S, Haast RAM, Onuska KM, Kanel P, Prado MAM, Prado VF, Khan AR, Schmitz TW. Multimodal gradients of basal forebrain connectivity across the neocortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.26.541324. [PMID: 37292595 PMCID: PMC10245994 DOI: 10.1101/2023.05.26.541324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The cholinergic innervation of the cortex originates almost entirely from populations of neurons in the basal forebrain (BF). Structurally, the ascending BF cholinergic projections are highly branched, with individual cells targeting multiple different cortical regions. However, it is not known whether the structural organization of basal forebrain projections reflects their functional integration with the cortex. We therefore used high-resolution 7T diffusion and resting state functional MRI in humans to examine multimodal gradients of BF cholinergic connectivity with the cortex. Moving from anteromedial to posterolateral BF, we observed reduced tethering between structural and functional connectivity gradients, with the most pronounced dissimilarity localized in the nucleus basalis of Meynert (NbM). The cortical expression of this structure-function gradient revealed progressively weaker tethering moving from unimodal to transmodal cortex, with the lowest tethering in midcingulo-insular cortex. We used human [ 18 F] fluoroethoxy-benzovesamicol (FEOBV) PET to demonstrate that cortical areas with higher concentrations of cholinergic innervation tend to exhibit lower tethering between BF structural and functional connectivity, suggesting a pattern of increasingly diffuse axonal arborization. Anterograde viral tracing of cholinergic projections and [ 18 F] FEOBV PET in mice confirmed a gradient of axonal arborization across individual BF cholinergic neurons. Like humans, cholinergic neurons with the highest arborization project to cingulo-insular areas of the mouse isocortex. Altogether, our findings reveal that BF cholinergic neurons vary in their branch complexity, with certain subpopulations exhibiting greater modularity and others greater diffusivity in the functional integration of their cortical targets.
Collapse
|
43
|
Crowley SJ, Kanel P, Roytman S, Bohnen NI, Hampstead BM. Basal forebrain integrity, cholinergic innervation and cognition in idiopathic Parkinson's disease. Brain 2024; 147:1799-1808. [PMID: 38109781 PMCID: PMC11068112 DOI: 10.1093/brain/awad420] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/12/2023] [Accepted: 12/02/2023] [Indexed: 12/20/2023] Open
Abstract
Most individuals with Parkinson's disease experience cognitive decline. Mounting evidence suggests this is partially caused by cholinergic denervation due to α-synuclein pathology in the cholinergic basal forebrain. Alpha-synuclein deposition causes inflammation, which can be measured with free water fraction, a diffusion MRI-derived metric of extracellular water. Prior studies have shown an association between basal forebrain integrity and cognition, cholinergic levels and cognition, and basal forebrain volume and acetylcholine, but no study has directly investigated whether basal forebrain physiology mediates the relationship between acetylcholine and cognition in Parkinson's disease. We investigated the relationship between these variables in a cross-sectional analysis of 101 individuals with Parkinson's disease. Cholinergic levels were measured using fluorine-18 fluoroethoxybenzovesamicol (18F-FEOBV) PET imaging. Cholinergic innervation regions of interest included the medial, lateral capsular and lateral perisylvian regions and the hippocampus. Brain volume and free water fraction were quantified using T1 and diffusion MRI, respectively. Cognitive measures included composites of attention/working memory, executive function, immediate memory and delayed memory. Data were entered into parallel mediation analyses with the cholinergic projection areas as predictors, cholinergic basal forebrain volume and free water fraction as mediators and each cognitive domain as outcomes. All mediation analyses controlled for age, years of education, levodopa equivalency dose and systolic blood pressure. The basal forebrain integrity metrics fully mediated the relationship between lateral capsular and lateral perisylvian acetylcholine and attention/working memory, and partially mediated the relationship between medial acetylcholine and attention/working memory. Basal forebrain integrity metrics fully mediated the relationship between medial, lateral capsular and lateral perisylvian acetylcholine and free water fraction. For all mediations in attention/working memory and executive function, the free water mediation was significant, while the volume mediation was not. The basal forebrain integrity metrics fully mediated the relationship between hippocampal acetylcholine and delayed memory and partially mediated the relationship between lateral capsular and lateral perisylvian acetylcholine and delayed memory. The volume mediation was significant for the hippocampal and lateral perisylvian models, while free water fraction was not. Free water fraction in the cholinergic basal forebrain mediated the relationship between acetylcholine and attention/working memory and executive function, while cholinergic basal forebrain volume mediated the relationship between acetylcholine in temporal regions in memory. These findings suggest that these two metrics reflect different stages of neurodegenerative processes and add additional evidence for a relationship between pathology in the basal forebrain, acetylcholine denervation and cognitive decline in Parkinson's disease.
Collapse
Affiliation(s)
- Samuel J Crowley
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan, Ann Arbor, MI 48105, USA
- Mental Health Service, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
- Parkinson’s Foundation Center of Excellence, University of Michigan, Ann Arbor, MI 48109, USA
| | - Stiven Roytman
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
| | - Nicolaas I Bohnen
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
- Parkinson’s Foundation Center of Excellence, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- Neurology Service and GRECC, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Benjamin M Hampstead
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan, Ann Arbor, MI 48105, USA
- Mental Health Service, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| |
Collapse
|
44
|
López-Ortiz S, Caruso G, Emanuele E, Menéndez H, Peñín-Grandes S, Guerrera CS, Caraci F, Nisticò R, Lucia A, Santos-Lozano A, Lista S. Digging into the intrinsic capacity concept: Can it be applied to Alzheimer's disease? Prog Neurobiol 2024; 234:102574. [PMID: 38266702 DOI: 10.1016/j.pneurobio.2024.102574] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 01/09/2024] [Accepted: 01/18/2024] [Indexed: 01/26/2024]
Abstract
Historically, aging research has largely centered on disease pathology rather than promoting healthy aging. The World Health Organization's (WHO) policy framework (2015-2030) underscores the significance of fostering the contributions of older individuals to their families, communities, and economies. The WHO has introduced the concept of intrinsic capacity (IC) as a key metric for healthy aging, encompassing five primary domains: locomotion, vitality, sensory, cognitive, and psychological. Past AD research, constrained by methodological limitations, has focused on single outcome measures, sidelining the complexity of the disease. Our current scientific milieu, however, is primed to adopt the IC concept. This is due to three critical considerations: (I) the decline in IC is linked to neurocognitive disorders, including AD, (II) cognition, a key component of IC, is deeply affected in AD, and (III) the cognitive decline associated with AD involves multiple factors and pathophysiological pathways. Our study explores the application of the IC concept to AD patients, offering a comprehensive model that could revolutionize the disease's diagnosis and prognosis. There is a dearth of information on the biological characteristics of IC, which are a result of complex interactions within biological systems. Employing a systems biology approach, integrating omics technologies, could aid in unraveling these interactions and understanding IC from a holistic viewpoint. This comprehensive analysis of IC could be leveraged in clinical settings, equipping healthcare providers to assess AD patients' health status more effectively and devise personalized therapeutic interventions in accordance with the precision medicine paradigm. We aimed to determine whether the IC concept could be extended from older individuals to patients with AD, thereby presenting a model that could significantly enhance the diagnosis and prognosis of this disease.
Collapse
Affiliation(s)
- Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain
| | - Giuseppe Caruso
- Department of Drug and Health Sciences, University of Catania, 95125 Catania, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | | | - Héctor Menéndez
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain
| | - Saúl Peñín-Grandes
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain
| | - Claudia Savia Guerrera
- Department of Educational Sciences, University of Catania, 95125 Catania, Italy; Department of Biomedical and Biotechnological Sciences, University of Catania, 95125 Catania, Italy
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, 95125 Catania, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", 00133 Rome, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, 00143 Rome, Italy
| | - Alejandro Lucia
- Research Institute of the Hospital 12 de Octubre ('imas12'), 28041 Madrid, Spain; Faculty of Sport Sciences, European University of Madrid, 28670 Villaviciosa de Odón, Madrid, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), 28029 Madrid, Spain
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain; Research Institute of the Hospital 12 de Octubre ('imas12'), 28041 Madrid, Spain
| | - Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain.
| |
Collapse
|
45
|
Ananth MR, Gardus JD, Huang C, Palekar N, Slifstein M, Zaborszky L, Parsey RV, Talmage DA, DeLorenzo C, Role LW. Loss of cholinergic input to the entorhinal cortex is an early indicator of cognitive impairment in natural aging of humans and mice. RESEARCH SQUARE 2024:rs.3.rs-3851086. [PMID: 38260541 PMCID: PMC10802688 DOI: 10.21203/rs.3.rs-3851086/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
In a series of translational experiments using fully quantitative positron emission tomography (PET) imaging with a new tracer specific for the vesicular acetylcholine transporter ([18F]VAT) in vivo in humans, and genetically targeted cholinergic markers in mice, we evaluated whether changes to the cholinergic system were an early feature of age-related cognitive decline. We found that deficits in cholinergic innervation of the entorhinal cortex (EC) and decline in performance on behavioral tasks engaging the EC are, strikingly, early features of the aging process. In human studies, we recruited older adult volunteers that were physically healthy and without prior clinical diagnosis of cognitive impairment. Using [18F]VAT PET imaging, we demonstrate that there is measurable loss of cholinergic inputs to the EC that can serve as an early signature of decline in EC cognitive performance. These deficits are specific to the cholinergic circuit between the medial septum and vertical limb of the diagonal band (MS/vDB; CH1/2) to the EC. Using diffusion imaging, we further demonstrate impaired structural connectivity in the tracts between the MS/vDB and EC in older adults with mild cognitive impairment. Experiments in mouse, designed to parallel and extend upon the human studies, used high resolution imaging to evaluate cholinergic terminal density and immediate early gene (IEG) activity of EC neurons in healthy aging mice and in mice with genetic susceptibility to accelerated accumulation amyloid beta plaques and hyperphosphorylated mouse tau. Across species and aging conditions, we find that the integrity of cholinergic projections to the EC directly correlates with the extent of EC activation and with performance on EC-related object recognition memory tasks. Silencing EC-projecting cholinergic neurons in young, healthy mice during the object-location memory task impairs object recognition performance, mimicking aging. Taken together we identify a role for acetylcholine in normal EC function and establish loss of cholinergic input to the EC as an early, conserved feature of age-related cognitive decline in both humans and rodents.
Collapse
|
46
|
Boecker H, Daamen M, Maurer A, Bodensohn L, Werkhausen J, Lohaus M, Manunzio C, Manunzio U, Radbruch A, Attenberger U, Dukart J, Upadhyay N. Fractional amplitude of low-frequency fluctuations associated with μ-opioid and dopamine receptor distributions in the central nervous system after high-intensity exercise bouts. FRONTIERS IN NEUROIMAGING 2024; 3:1332384. [PMID: 38455686 PMCID: PMC10917966 DOI: 10.3389/fnimg.2024.1332384] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/29/2024] [Indexed: 03/09/2024]
Abstract
Introduction Dopaminergic, opiod and endocannabinoid neurotransmission are thought to play an important role in the neurobiology of acute exercise and, in particular, in mediating positive affective responses and reward processes. Recent evidence indicates that changes in fractional amplitude of low-frequency fluctuations (zfALFF) in resting-state functional MRI (rs-fMRI) may reflect changes in specific neurotransmitter systems as tested by means of spatial correlation analyses. Methods Here, we investigated this relationship at different exercise intensities in twenty young healthy trained athletes performing low-intensity (LIIE), high-intensity (HIIE) interval exercises, and a control condition on three separate days. Positive And Negative Affect Schedule (PANAS) scores and rs-fMRI were acquired before and after each of the three experimental conditions. Respective zfALFF changes were analyzed using repeated measures ANOVAs. We examined the spatial correspondence of changes in zfALFF before and after training with the available neurotransmitter maps across all voxels and additionally, hypothesis-driven, for neurotransmitter maps implicated in the neurobiology of exercise (dopaminergic, opiodic and endocannabinoid) in specific brain networks associated with "reward" and "emotion." Results Elevated PANAS Positive Affect was observed after LIIE and HIIE but not after the control condition. HIIE compared to the control condition resulted in differential zfALFF decreases in precuneus, temporo-occipital, midcingulate and frontal regions, thalamus, and cerebellum, whereas differential zfALFF increases were identified in hypothalamus, pituitary, and periaqueductal gray. The spatial alteration patterns in zfALFF during HIIE were positively associated with dopaminergic and μ-opioidergic receptor distributions within the 'reward' network. Discussion These findings provide new insight into the neurobiology of exercise supporting the importance of reward-related neurotransmission at least during high-intensity physical activity.
Collapse
Affiliation(s)
- Henning Boecker
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Marcel Daamen
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Clinical Research, German Center for Neurodegenerative Diseases (DZNE) Bonn, Bonn, Germany
| | - Angelika Maurer
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Luisa Bodensohn
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Judith Werkhausen
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Marvin Lohaus
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Christian Manunzio
- Sportsmedicine, Department of Paediatric Cardiology, University Hospital Bonn, Bonn, Germany
| | - Ursula Manunzio
- Sportsmedicine, Department of Paediatric Cardiology, University Hospital Bonn, Bonn, Germany
| | | | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Dusseldorf, Germany
| | - Neeraj Upadhyay
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| |
Collapse
|
47
|
German‐Castelan L, Shanks HRC, Gros R, Saito T, Saido TC, Saksida LM, Bussey TJ, Prado MAM, Schmitz TW, Prado VF, the Australian Imaging Biomarkers and Lifestyle flagship study of ageing. Sex-dependent cholinergic effects on amyloid pathology: A translational study. Alzheimers Dement 2024; 20:995-1012. [PMID: 37846816 PMCID: PMC10916951 DOI: 10.1002/alz.13481] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/05/2023] [Accepted: 08/17/2023] [Indexed: 10/18/2023]
Abstract
INTRODUCTION About two-thirds of Alzheimer's Disease (AD) patients are women, who exhibit more severe pathology and cognitive decline than men. Whether biological sex causally modulates the relationship between cholinergic signaling and amyloid pathology remains unknown. METHODS We quantified amyloid beta (Aβ) in male and female App-mutant mice with either decreased or increased cholinergic tone and examined the impact of ovariectomy and estradiol replacement in this relationship. We also investigated longitudinal changes in basal forebrain (cholinergic function) and Aβ in elderly individuals. RESULTS We show a causal relationship between cholinergic tone and amyloid pathology in males and ovariectomized female mice, which is decoupled in ovary-intact and ovariectomized females receiving estradiol. In elderly humans, cholinergic loss exacerbates Aβ. DISCUSSION Our findings emphasize the importance of reflecting human menopause in mouse models. They also support a role for therapies targeting estradiol and cholinergic signaling to reduce Aβ. HIGHLIGHTS Cholinergic tone regulates amyloid beta (Aβ) pathology in males and ovariectomized female mice. Estradiol uncouples the relationship between cholinergic tone and Aβ. In elderly humans, cholinergic loss correlates with increased Aβ in both sexes.
Collapse
Affiliation(s)
- Liliana German‐Castelan
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
| | - Hayley R. C. Shanks
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
| | - Robert Gros
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Department of MedicineSchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
- Department of Physiology and PharmacologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
| | - Takashi Saito
- Department of Neurocognitive ScienceInstitute of Brain ScienceNagoya City University Graduate School of Medical SciencesNagoyaJapan
- Laboratory for Proteolytic NeuroscienceRIKEN Center for Brain ScienceWako, SaitamaJapan
| | - Takaomi C. Saido
- Laboratory for Proteolytic NeuroscienceRIKEN Center for Brain ScienceWako, SaitamaJapan
| | - Lisa M. Saksida
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Department of Physiology and PharmacologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
- Western Institute for NeuroscienceUniversity of Western OntarioLondonOntarioCanada
| | - Timothy J. Bussey
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Department of Physiology and PharmacologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
- Western Institute for NeuroscienceUniversity of Western OntarioLondonOntarioCanada
| | - Marco A. M. Prado
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Department of Physiology and PharmacologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
- Western Institute for NeuroscienceUniversity of Western OntarioLondonOntarioCanada
- Department of Anatomy and Cell BiologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
| | - Taylor W. Schmitz
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Western Institute for NeuroscienceUniversity of Western OntarioLondonOntarioCanada
- Lawson Health Research InstituteSt. Joseph's HospitalLondonOntarioCanada
| | - Vania F. Prado
- Robarts Research InstituteSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Neuroscience programSchulich School of Medicine and DentistryUniversity of Western OntarioLondonOntarioCanada
- Department of Physiology and PharmacologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
- Western Institute for NeuroscienceUniversity of Western OntarioLondonOntarioCanada
- Department of Anatomy and Cell BiologySchulich School of Medicine & DentistryUniversity of Western OntarioLondonOntarioCanada
| | | |
Collapse
|
48
|
Pérez-González D, Lao-Rodríguez AB, Aedo-Sánchez C, Malmierca MS. Acetylcholine modulates the precision of prediction error in the auditory cortex. eLife 2024; 12:RP91475. [PMID: 38241174 PMCID: PMC10942646 DOI: 10.7554/elife.91475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024] Open
Abstract
A fundamental property of sensory systems is their ability to detect novel stimuli in the ambient environment. The auditory brain contains neurons that decrease their response to repetitive sounds but increase their firing rate to novel or deviant stimuli; the difference between both responses is known as stimulus-specific adaptation or neuronal mismatch (nMM). Here, we tested the effect of microiontophoretic applications of ACh on the neuronal responses in the auditory cortex (AC) of anesthetized rats during an auditory oddball paradigm, including cascade controls. Results indicate that ACh modulates the nMM, affecting prediction error responses but not repetition suppression, and this effect is manifested predominantly in infragranular cortical layers. The differential effect of ACh on responses to standards, relative to deviants (in terms of averages and variances), was consistent with the representational sharpening that accompanies an increase in the precision of prediction errors. These findings suggest that ACh plays an important role in modulating prediction error signaling in the AC and gating the access of these signals to higher cognitive levels.
Collapse
Affiliation(s)
- David Pérez-González
- Cognitive and Auditory Neuroscience Laboratory, Institute of Neuroscience of Castilla y León, Calle Pintor Fernando GallegoSalamancaSpain
- Institute for Biomedical Research of Salamanca (IBSAL)SalamancaSpain
- Department of Basic Psychology, Psychobiology and Behavioural Science Methodology, Faculty of Psychology, Campus Ciudad Jardín, University of SalamancaSalamancaSpain
| | - Ana Belén Lao-Rodríguez
- Cognitive and Auditory Neuroscience Laboratory, Institute of Neuroscience of Castilla y León, Calle Pintor Fernando GallegoSalamancaSpain
- Institute for Biomedical Research of Salamanca (IBSAL)SalamancaSpain
| | - Cristian Aedo-Sánchez
- Cognitive and Auditory Neuroscience Laboratory, Institute of Neuroscience of Castilla y León, Calle Pintor Fernando GallegoSalamancaSpain
- Institute for Biomedical Research of Salamanca (IBSAL)SalamancaSpain
| | - Manuel S Malmierca
- Cognitive and Auditory Neuroscience Laboratory, Institute of Neuroscience of Castilla y León, Calle Pintor Fernando GallegoSalamancaSpain
- Institute for Biomedical Research of Salamanca (IBSAL)SalamancaSpain
- Department of Biology and Pathology, Faculty of Medicine, Campus Miguel de Unamuno, University of SalamancaSalamancaSpain
| |
Collapse
|
49
|
Hahn L, Eickhoff SB, Mueller K, Schilbach L, Barthel H, Fassbender K, Fliessbach K, Kornhuber J, Prudlo J, Synofzik M, Wiltfang J, Diehl-Schmid J, FTLD Consortium, Otto M, Dukart J, Schroeter ML. Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems. eLife 2024; 13:e86085. [PMID: 38224473 PMCID: PMC10789488 DOI: 10.7554/elife.86085] [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: 01/10/2023] [Accepted: 12/14/2023] [Indexed: 01/16/2024] Open
Abstract
Background Aside to clinical changes, behavioral variant frontotemporal dementia (bvFTD) is characterized by progressive structural and functional alterations in frontal and temporal regions. We examined if there is a selective vulnerability of specific neurotransmitter systems in bvFTD by evaluating the link between disease-related functional alterations and the spatial distribution of specific neurotransmitter systems and their underlying gene expression levels. Methods Maps of fractional amplitude of low-frequency fluctuations (fALFF) were derived as a measure of local activity from resting-state functional magnetic resonance imaging for 52 bvFTD patients (mean age = 61.5 ± 10.0 years; 14 females) and 22 healthy controls (HC) (mean age = 63.6 ± 11.9 years; 13 females). We tested if alterations of fALFF in patients co-localize with the non-pathological distribution of specific neurotransmitter systems and their coding mRNA gene expression. Furthermore, we evaluated if the strength of co-localization is associated with the observed clinical symptoms. Results Patients displayed significantly reduced fALFF in frontotemporal and frontoparietal regions. These alterations co-localized with the distribution of serotonin (5-HT1b and 5-HT2a) and γ-aminobutyric acid type A (GABAa) receptors, the norepinephrine transporter (NET), and their encoding mRNA gene expression. The strength of co-localization with NET was associated with cognitive symptoms and disease severity of bvFTD. Conclusions Local brain functional activity reductions in bvFTD followed the distribution of specific neurotransmitter systems indicating a selective vulnerability. These findings provide novel insight into the disease mechanisms underlying functional alterations. Our data-driven method opens the road to generate new hypotheses for pharmacological interventions in neurodegenerative diseases even beyond bvFTD. Funding This study has been supported by the German Consortium for Frontotemporal Lobar Degeneration, funded by the German Federal Ministry of Education and Research (BMBF; grant no. FKZ01GI1007A).
Collapse
Affiliation(s)
- Lisa Hahn
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre JülichJülichGermany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University DüsseldorfDüsseldorfGermany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre JülichJülichGermany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University DüsseldorfDüsseldorfGermany
| | - Karsten Mueller
- Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Leonhard Schilbach
- LVR-Klinikum DüsseldorfDüsseldorfGermany
- Medical Faculty, Ludwig-Maximilians-UniversitätMünchenGermany
| | - Henryk Barthel
- Department for Nuclear Medicine, University Hospital LeipzigLeipzigGermany
| | - Klaus Fassbender
- Department of Neurology, Saarland University HospitalHomburgGermany
| | - Klaus Fliessbach
- Department of Psychiatry and Psychotherapy, University Hospital BonnBonnGermany
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-NurembergErlangenGermany
| | - Johannes Prudlo
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Neurology, University Medicine RostockRostockGermany
| | - Matthis Synofzik
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Neurodegenerative Diseases, Center of Neurology, Hertie Institute for Clinical Brain ResearchTübingenGermany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Medical University GöttingenGöttingenGermany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of AveiroAveiroPortugal
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Technical University of MunichMunichGermany
- kbo-Inn-Salzach-Klinikum, Clinical Center for Psychiatry, Psychotherapy, Psychosomatic Medicine, Geriatrics and NeurologyWasserburg/InnGermany
| | | | - Markus Otto
- Department of Neurology, Ulm UniversityUlmGermany
- Department of Neurology, Martin-Luther-University Halle-WittenbergHalleGermany
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre JülichJülichGermany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University DüsseldorfDüsseldorfGermany
| | - Matthias L Schroeter
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- Clinic for Cognitive Neurology, University Hospital LeipzigLeipzigGermany
| |
Collapse
|
50
|
Padala S, Setti S, Raymick J, Hanig J, Sarkar S. Evaluation and Characterization of Modified K114 Method to Localize Plaques in Rodent and Plaques and Tangles in Human Brain Tissue. Curr Alzheimer Res 2024; 21:69-80. [PMID: 38566375 DOI: 10.2174/0115672050295561240327055835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/04/2024] [Accepted: 03/11/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND A plethora of studies has shown the utility of several chemical dyes due to their affinity to bind Aβ to enable visualization of plaques under light or fluorescence microscope, and some of them showed affinity to bind neurofibrillary tangles (NFT) as well. However, only a few of them have the propensity to bind both senile plaques (SP) and NFT simultaneously. OBJECTIVE In our current study, we aimed to modify the K114 dye and the staining procedure to substantially improve the staining of amyloid plaques in both human and rodent brains and neurofibrillary tangles in the human brain. METHODS We modified the K114 solution and the staining procedure using Sudan Black as a modifier. Additionally, to evaluate the target of the modified K114, we performed double labeling of K114 and increased Aβ against three different epitopes. We used 5 different antibodies to detect phosphorylated tau to understand the specific targets that modified K114 binds. RESULTS Dual labeling using hyperphosphorylated antibodies against AT8, pTau, and TNT1 revealed that more than 80% hyperphosphorylated tau colocalized with tangles that were positive for modified K114, whereas more than 70% of the hyperphosphorylated tau colocalized with modified K114. On the other hand, more than 80% of the plaques that were stained with Aβ MOAB-2 were colocalized with modified K114. CONCLUSION Our modified method can label amyloid plaques within 5 min in the rat brain and within 20 min in the human brain. Our results indicated that modified K114 could be used as a valuable tool for detecting amyloid plaques and tangles with high contrast and resolution relative to other conventional fluorescence markers.
Collapse
Affiliation(s)
- Sanjana Padala
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food & Drug Administration, Jefferson, AR72079, USA
| | - Sharay Setti
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food & Drug Administration, Jefferson, AR72079, USA
| | - James Raymick
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food & Drug Administration, Jefferson, AR72079, USA
| | - Joseph Hanig
- Office of Testing & Research, Center for Drug Evaluation Research/FDA, Silver Spring, MD, USA
| | - Sumit Sarkar
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food & Drug Administration, Jefferson, AR72079, USA
| |
Collapse
|