Brain functional network integrity sustains cognitive function despite atrophy in presymptomatic genetic frontotemporal dementia

Tsvetanov, Kamen A.; Gazzina, Stefano; Jones, P. Simon; Swieten, John van; Borroni, Barbara; Sanchez-Valle, Raquel; Moreno, Fermin; Laforce, Robert; Graff, Caroline; Synofzik, Matthis; Galimberti, Daniela; Masellis, Mario; Tartaglia, Maria Carmela; Finger, Elizabeth; Vandenberghe, Rik; Mendonca, Alexandre de; Tagliavini, Fabrizio; Santana, Isabel; Ducharme, Simon; Butler, Chris; Gerhard, Alexander; Danek, Adrian; Levin, Johannes; Otto, Markus; Frisoni, Giovanni; Ghidoni, Roberta; Sorbi, Sandro; Rohrer, Jonathan D. und Rowe, James B. (2021): Brain functional network integrity sustains cognitive function despite atrophy in presymptomatic genetic frontotemporal dementia. In: Alzheimer's & Dementia, Bd. 17, Nr. 3: S. 500-514

Abstract

Introduction The presymptomatic phase of neurodegenerative disease can last many years, with sustained cognitive function despite progressive atrophy. We investigate this phenomenon in familial frontotemporal dementia (FTD). Methods We studied 121 presymptomatic FTD mutation carriers and 134 family members without mutations, using multivariate data-driven approach to link cognitive performance with both structural and functional magnetic resonance imaging. Atrophy and brain network connectivity were compared between groups, in relation to the time from expected symptom onset. Results There were group differences in brain structure and function, in the absence of differences in cognitive performance. Specifically, we identified behaviorally relevant structural and functional network differences. Structure-function relationships were similar in both groups, but coupling between functional connectivity and cognition was stronger for carriers than for non-carriers, and increased with proximity to the expected onset of disease. Discussion Our findings suggest that the maintenance of functional network connectivity enables carriers to maintain cognitive performance.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin ; Medizin > Munich Cluster for Systems Neurology (SyNergy)
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1552-5260
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198