Fingerprints of brain disease: connectome identifiability in Alzheimer's disease.

Autor: Stampacchia S; Neuro-X Institute and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland. sara.stampacchia@epfl.ch., Asadi S; Department of Radiology and Medical Informatics, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland., Tomczyk S; Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland., Ribaldi F; Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.; Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland., Scheffler M; Division of Radiology, Geneva University Hospitals, Geneva, Switzerland., Lövblad KO; Department of Radiology and Medical Informatics, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland.; Neurodiagnostic and Neurointerventional Division, Geneva University Hospitals, Geneva, Switzerland., Pievani M; Lab of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy., Fall AB; Faculty of Medicine, University of Geneva, Geneva, Switzerland.; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.; Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland., Preti MG; Neuro-X Institute and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.; Department of Radiology and Medical Informatics, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland.; CIBM Center for Biomedical Imaging, Lausanne, Switzerland., Unschuld PG; Division of Geriatric Psychiatry, University Hospitals of Geneva (HUG), 1226, Thônex, Switzerland.; Department of Psychiatry, University of Geneva (UniGE), 1205, Geneva, Switzerland., Van De Ville D; Neuro-X Institute and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.; Department of Radiology and Medical Informatics, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland., Blanke O; Neuro-X Institute and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland., Frisoni GB; Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.; Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland., Garibotto V; Department of Radiology and Medical Informatics, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland.; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland., Amico E; Neuro-X Institute and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland. e.amico@bham.ac.uk.; School of Mathematics, University of Birmingham, Birmingham, UK. e.amico@bham.ac.uk.; Centre for Human Brain Health, University of Birmingham, Birmingham, UK. e.amico@bham.ac.uk.
Jazyk: angličtina
Zdroj: Communications biology [Commun Biol] 2024 Sep 18; Vol. 7 (1), pp. 1169. Date of Electronic Publication: 2024 Sep 18.
DOI: 10.1038/s42003-024-06829-8
Abstrakt: Functional connectivity patterns in the human brain, like the friction ridges of a fingerprint, can uniquely identify individuals. Does this "brain fingerprint" remain distinct even during Alzheimer's disease (AD)? Using fMRI data from healthy and pathologically ageing subjects, we find that individual functional connectivity profiles remain unique and highly heterogeneous during mild cognitive impairment and AD. However, the patterns that make individuals identifiable change with disease progression, revealing a reconfiguration of the brain fingerprint. Notably, connectivity shifts towards functional system connections in AD and lower-order cognitive functions in early disease stages. These findings emphasize the importance of focusing on individual variability rather than group differences in AD studies. Individual functional connectomes could be instrumental in creating personalized models of AD progression, predicting disease course, and optimizing treatments, paving the way for personalized medicine in AD management.
(© 2024. The Author(s).)
Databáze: MEDLINE
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