Abstract
Dynamic and static functional network connectivity distinguish symptomatic and non‐symptomatic individuals with CADASIL
Alzheimer's & dementia, Vol.20(Suppl 2), e091518
01/09/2025
DOI: 10.1002/alz.091518
PMCID: PMC11714635
Abstract
Background
This study focuses on Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL), a key model for studying arterial degradation and its impact on brain network communication. We explore functional network connectivity in CADASIL patients, shedding light on how arterial changes affect brain network interactions.
Method
Overcoming COVID‐19 challenges, we've enrolled over 200 participants for longitudinal assessments. The study compares Symptomatic (SYM) individuals (Rankin Scale scores 1‐3) with Non‐Symptomatic (NSYM) counterparts. The SYM group, mainly females (63) and Caucasians (101), shows lower cognitive performance (average MOCA score 25.2) and processing speed (SDMT average 43.7) compared to NSYM's higher scores (MOCA 26.8, SDMT 51.4). Additionally, the SYM group, older on average (53 years), exhibits more functional impairment (average WHODAS 9.1) than NSYM (47.7 years, WHODAS 3.1). Advanced neuroimaging (3T Siemens Prisma Fit or 3T Signa Premier scanners) and Spatially Constrained Independent Component Analysis are used for dynamic functional network connectivity (dFNC) analysis.
Results
The SYM and NSYM groups display significant cognitive and functional differences. Connectivity analyses reveal moderate to substantial differences in both static and dynamic states, particularly in Visual and Cognitive Control domains. Static analysis identifies disparities in 8 intrinsic connectivity networks across 5 domains, while dynamic analysis shows 3 of 4 states with significant differences in cognitive control networks.
Conclusion
This research underlines the profound impact of CADASIL on brain network connectivity, notably in cognitive control and visual processing. The findings, integral to the USA CADASIL Consortium, aim to characterize CADASIL's clinical and biological markers. These results are pivotal for global efforts to understand and treat vascular contributions to cognitive impairment and dementia, enhancing the landscape of CADASIL research and therapy development.
Details
- Title: Subtitle
- Dynamic and static functional network connectivity distinguish symptomatic and non‐symptomatic individuals with CADASIL
- Creators
- Henry J Bockholt - Center for Translational Research in Neuroimaging and Data ScienceJane S Paulsen - University of Wisconsin–MadisonBradley T Baker - Center for Translational Research in Neuroimaging and Data ScienceHelen Petropoulos - Center for Translational Research in Neuroimaging and Data ScienceArvind Caprihan - Mind Research NetworkKevin M. Johnson - University of Wisconsin–MadisonMichael D Geschwind - University of California, San FranciscoLaura B. Eisenmenger - University of Wisconsin–MadisonDavid S Liebeskind - University of California, Los AngelesJordan Clemsen - Center for Translational Research in Neuroimaging and Data ScienceNicholas Pasley - Center for Translational Research in Neuroimaging and Data ScienceWilliam H. Adams - Loyola University ChicagoMichael A Newton - University of Wisconsin–MadisonVince D Calhoun - Center for Translational Research in Neuroimaging and Data Science
- Resource Type
- Abstract
- Publication Details
- Alzheimer's & dementia, Vol.20(Suppl 2), e091518
- DOI
- 10.1002/alz.091518
- PMCID
- PMC11714635
- ISSN
- 1552-5260
- eISSN
- 1552-5279
- Number of pages
- 2
- Language
- English
- Date published
- 01/09/2025
- Academic Unit
- Psychiatry
- Record Identifier
- 9984771628802771
Metrics
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