التفاصيل البيبلوغرافية
| العنوان: |
The coupling of BOLD signal variability and degree centrality underlies cognitive functions and psychiatric diseases. |
| المؤلفون: |
Sheng, Jintao1 (AUTHOR), Zhang, Liang1 (AUTHOR), Feng, Junjiao1 (AUTHOR), Liu, Jing1 (AUTHOR), Li, Anqi1 (AUTHOR), Chen, Wei2 (AUTHOR), Shen, Yuedi3 (AUTHOR), Wang, Jinhui4,5 (AUTHOR), He, Yong1 (AUTHOR), Xue, Gui1 (AUTHOR) gxue@bnu.edu.cn |
| المصدر: |
NeuroImage. Aug2021, Vol. 237, pN.PAG-N.PAG. 1p. |
| مصطلحات موضوعية: |
*BRAIN diseases, *COGNITIVE ability, *MENTAL illness, *FUNCTIONAL magnetic resonance imaging, *FUNCTIONAL integration, *CEREBRAL circulation, *VARIABILITY (Psychometrics), *VECTION |
| مصطلحات جغرافية: |
HANGZHOU (China), BEIJING (China) |
| مستخلص: |
• The mean-scaled fractional BOLD signal variability (mfSD BOLD) was reliable. • The degree centrality (DC) and mfSD BOLD were correlated with cerebral blood flow. • The mfSD BOLD and DC were strongly coupled both across voxels and subjects. • The strength of DC-mfSD BOLD coupling predicted cognitive performance. • Regions with greater DC-mfSD BOLD mismatch were more vulnerable to brain diseases. Brain signal variability has been consistently linked to functional integration; however, whether this coupling is associated with cognitive functions and/or psychiatric diseases has not been clarified. Using multiple multimodality datasets, including resting-state functional magnetic resonance imaging (rsfMRI) data from the Human Connectome Project (HCP: N = 927) and a Beijing sample (N = 416) and cerebral blood flow (CBF) and rsfMRI data from a Hangzhou sample (N = 29), we found that, compared with the existing variability measure (i.e., SD BOLD), the mean-scaled (standardized) fractional standard deviation of the BOLD signal (mfSD BOLD) maintained very high test-retest reliability, showed greater cross-site reliability and was less affected by head motion. We also found strong reproducible couplings between the mfSD BOLD and functional integration measured by the degree centrality (DC), both cross-voxel and cross-subject, which were robust to scanning and preprocessing parameters. Moreover, both mfSD BOLD and DC were correlated with CBF, suggesting a common physiological basis for both measures. Critically, the degree of coupling between mfSD BOLD and long-range DC was positively correlated with individuals' cognitive total composite scores. Brain regions with greater mismatches between mfSD BOLD and long-range DC were more vulnerable to brain diseases. Our results suggest that BOLD signal variability could serve as a meaningful index of local function that underlies functional integration in the human brain and that a strong coupling between BOLD signal variability and functional integration may serve as a hallmark of balanced brain networks that are associated with optimal brain functions. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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