Year: 2024
Type: article
Abstract: 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.
Institutions: Centre National de la Recherche Scientifique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields, École Centrale de Nantes, Laboratoire des Sciences du Numérique de Nantes, Nantes Université, Inserm, Université Paris Cité, Hôpital Fernand-Widal, Hôpital Lariboisière, Hôpital Robert-Debré, FHU Neurovasc, NeuroDiderot, Institut de la Vision, Sorbonne Université, CEA Paris-Saclay, Institut des Sciences Moléculaires, Pitié-Salpêtrière Hospital, Institut du Cerveau
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,530
Funder: Agence Nationale de la Recherche
Award: G1190173965
OpenAlex ID: W4402405014