Individual analysis of fMRI data reveals incongruency in a potential CADASIL biomarker.

CADASIL Single-subject analysis fMRI biomarkers

Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
10 Sep 2024
Historique:
received: 15 05 2024
revised: 07 08 2024
accepted: 08 09 2024
medline: 15 9 2024
pubmed: 15 9 2024
entrez: 14 9 2024
Statut: aheadofprint

Résumé

fMRI-based studies on neurodegenerative diseases rarely report single-subject information, which is useful for assessing potential biomarkers. In a previous fMRI study, CADASIL patients showed, at the group level, a significant reduction of the long-lasting visually stimulated hyperaemic response. Here, we used data interpolation and computed a hemodynamic response function from the 20-s visual response to achieve a 40-s response prediction at the individual level. The comparison between the expected and recorded 40-s responses confirmed the occurrence of a late and frequent response reduction among patients. However, this feature was inversely related to age and was also detected in control subjects, which suggests that this potential biomarker cannot be retained for monitoring vascular dysfunction in CADASIL. We showcase an open-source analytical pipeline for single-subject analysis to quickly assess potential biomarkers in fMRI studies.

Identifiants

pubmed: 39276712
pii: S0022-510X(24)00362-9
doi: 10.1016/j.jns.2024.123227
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123227

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Clément Huneau and Hugues Chabriat have filed a Patent Application (deposit No. 17305045.1 (Neurovascular coupling studied using fMRI and EEG); the other authors declared no competing interests. All the other Authors declare no conflict of interest.

Auteurs

Davide Boido (D)

CEA-Neurospin, Paris-Saclay University, CNRS UMR9027, Gif-sur-Yvette, France. Electronic address: davide.boido@cea.fr.

Clément Huneau (C)

Nantes Université, Centrale Nantes, CNRS, LS2N, UMR6004, F-44000 Nantes, France.

Jessica Lebenberg (J)

Inserm, Neuro-Diderot, U1141 and Université Paris-Cité, F-75019 Paris, France; Translational Neurovascular Centre and Centre de reference CERVCO, FHU NeuroVasc, Paris, France.

Ali-Kemal Aydin (AK)

CEA-Neurospin, Paris-Saclay University, CNRS UMR9027, Gif-sur-Yvette, France; Institut de la Vision, Sorbonne Université, INSERM, CNRS, 75012 Paris, France.

Benoit Beranger (B)

CENIR, Institute du Cerveau (ICM), Hôpital Pitié-Salpêtrière de Sorbonne Université, Paris, France.

Serge Charpak (S)

Institut de la Vision, Sorbonne Université, INSERM, CNRS, 75012 Paris, France.

Hugues Chabriat (H)

Inserm, Neuro-Diderot, U1141 and Université Paris-Cité, F-75019 Paris, France; Translational Neurovascular Centre and Centre de reference CERVCO, FHU NeuroVasc, Paris, France. Electronic address: hugues.chabriat@aphp.fr.

Classifications MeSH