Journal
CEREBRAL CORTEX
Volume 29, Issue 4, Pages 1496-1508Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhy045
Keywords
BOLD; calcium imaging; functional connectivity; resting state; stationarity
Categories
Funding
- Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS)-Japan Agency for Medical Research and Development (AMED)
- Core Research for Evolutionary Science and Technology (CREST)-AMED
- Strategic International Research Cooperative Program (SCIP)-AMED
- Japan Society for Promotions of Sciences (JSPS) KAKENHI [25221001, 25117004]
- World Premium Institute (WPI), JSPS
- JSPS KAKENHI [17K14931]
- JSPS Research Fellowship [20153597]
- Grants-in-Aid for Scientific Research [17K14931, 25117004] Funding Source: KAKEN
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Resting-state functional connectivity (FC) has become a major functional magnetic resonance imaging method to study network organization of human brains. There has been recent interest in the temporal fluctuations of FC calculated using short time windows (dynamic FC) because this method could provide information inaccessible with conventional static FC, which is typically calculated using the entire scan lasting several tens of minutes. Although multiple studies have revealed considerable temporal fluctuations in FC, it is still unclear whether the fluctuations of FC measured in hemodynamics reflect the dynamics of underlying neural activity. We addressed this question using simultaneous imaging of neuronal calcium and hemodynamic signals in mice and found coordinated temporal dynamics of calcium FC and hemodynamic FC measured in the same short time windows. Moreover, we found that variation in transient neuronal coactivation patterns was significantly related to temporal fluctuations of sliding window FC in hemodynamics. Finally, we show that the observed dynamics of FC cannot be fully accounted for by simulated data assuming stationary FC. These results provide evidence for the neuronal origin of dynamic FC and further suggest that information relevant to FC is condensed in temporally sparse events that can be extracted using a small number of time points.
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