Title | Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females. |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Dhamala E, Jamison KW, Jaywant A, Kuceyeski A |
Journal | Hum Brain Mapp |
Volume | 43 |
Issue | 3 |
Pagination | 1087-1102 |
Date Published | 2022 02 15 |
ISSN | 1097-0193 |
Keywords | Adult, Cerebral Cortex, Connectome, Female, Humans, Intelligence, Machine Learning, Magnetic Resonance Imaging, Male, Nerve Net, Sex Factors, Young Adult |
Abstract | A thorough understanding of sex-independent and sex-specific neurobiological features that underlie cognitive abilities in healthy individuals is essential for the study of neurological illnesses in which males and females differentially experience and exhibit cognitive impairment. Here, we evaluate sex-independent and sex-specific relationships between functional connectivity and individual cognitive abilities in 392 healthy young adults (196 males) from the Human Connectome Project. First, we establish that sex-independent models comparably predict crystallised abilities in males and females, but only successfully predict fluid abilities in males. Second, we demonstrate sex-specific models comparably predict crystallised abilities within and between sexes, and generally fail to predict fluid abilities in either sex. Third, we reveal that largely overlapping connections between visual, dorsal attention, ventral attention, and temporal parietal networks are associated with better performance on crystallised and fluid cognitive tests in males and females, while connections within visual, somatomotor, and temporal parietal networks are associated with poorer performance. Together, our findings suggest that shared neurobiological features of the functional connectome underlie crystallised and fluid abilities across the sexes. |
DOI | 10.1002/hbm.25709 |
Alternate Journal | Hum Brain Mapp |
PubMed ID | 34811849 |
PubMed Central ID | PMC8764478 |
Grant List | R21 NS104634 / NS / NINDS NIH HHS / United States K12 HD093427 / HD / NICHD NIH HHS / United States R21 NS120227-01 / NH / NIH HHS / United States R01 NS102646-01A1 / NH / NIH HHS / United States R21 NS120227 / NS / NINDS NIH HHS / United States R21 NS104634-01 / NH / NIH HHS / United States U54 MH091657 / MH / NIMH NIH HHS / United States R01 NS102646 / NS / NINDS NIH HHS / United States / HD / NICHD NIH HHS / United States |
Related Institute:
Brain Health Imaging Institute (BHII)