Title | Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults. |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | Dhamala E, Jamison KW, Jaywant A, Dennis S, Kuceyeski A |
Journal | Hum Brain Mapp |
Volume | 42 |
Issue | 10 |
Pagination | 3102-3118 |
Date Published | 2021 07 |
ISSN | 1097-0193 |
Keywords | Adult, Cerebral Cortex, Cognition, Connectome, Female, Humans, Intelligence, Machine Learning, Magnetic Resonance Imaging, Male, Nerve Net, Young Adult |
Abstract | White matter pathways between neurons facilitate neuronal coactivation patterns in the brain. Insight into how these structural and functional connections underlie complex cognitive functions provides an important foundation with which to delineate disease-related changes in cognitive functioning. Here, we integrate neuroimaging, connectomics, and machine learning approaches to explore how functional and structural brain connectivity relate to cognition. Specifically, we evaluate the extent to which functional and structural connectivity predict individual crystallised and fluid cognitive abilities in 415 unrelated healthy young adults (202 females) from the Human Connectome Project. We report three main findings. First, we demonstrate functional connectivity is more predictive of cognitive scores than structural connectivity, and, furthermore, integrating the two modalities does not increase explained variance. Second, we show the quality of cognitive prediction from connectome measures is influenced by the choice of grey matter parcellation, and, possibly, how that parcellation is derived. Third, we find that distinct functional and structural connections predict crystallised and fluid abilities. Taken together, our results suggest that functional and structural connectivity have unique relationships with crystallised and fluid cognition and, furthermore, studying both modalities provides a more comprehensive insight into the neural correlates of cognition. |
DOI | 10.1002/hbm.25420 |
Alternate Journal | Hum Brain Mapp |
PubMed ID | 33830577 |
PubMed Central ID | PMC8193532 |
Grant List | R21NS104634-01 / NH / NIH HHS / United States R01NS102646-01A1 / NH / NIH HHS / United States R21 NS104634 / NS / NINDS NIH HHS / United States 1K12-HD093427-04 / HD / NICHD NIH HHS / United States K12 HD093427 / HD / NICHD NIH HHS / United States U54 MH091657 / MH / NIMH NIH HHS / United States R01 NS102646 / NS / NINDS NIH HHS / United States |
Related Institute:
Brain Health Imaging Institute (BHII)