PT  - JOURNAL ARTICLE
AU  - Hang Yang
AU  - Hong Zhang
AU  - Xin Di
AU  - Shuai Wang
AU  - Chun Meng
AU  - Lin Tian
AU  - Bharat Biswal
TI  - Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: an fMRI study
AID  - 10.1101/2021.07.04.451042
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.07.04.451042
4099  - http://biorxiv.org/content/early/2021/07/05/2021.07.04.451042.short
4100  - http://biorxiv.org/content/early/2021/07/05/2021.07.04.451042.full
AB  - The resting-state human brain is a dynamic system that shows frequency-specific characteristics. Coactivation pattern (CAP) analysis has been recently used to identify recurring brain states sharing similar coactivation configurations. However, whether and how CAPs differ across different sub-frequency bands are unknown. In the current study, in addition to the typical low-frequency range (0.01 - 0.08 Hz), the spatial and temporal characteristics of CAPs in four sub-frequency bands, slow-5 (0.01 - 0.027 Hz), slow-4 (0.027 - 0.073 Hz), slow-3 (0.073 - 0.198 Hz), and slow-2 (0.198 - 0.25 Hz), were studied. Six CAP states were obtained for each band., The CAPs from the typical frequency range were spatially largely overlapped with those in slow-5, slow-4 and slow-3 but not with those in slow-2. With the increase of frequency, the CAP state became more unstable and resulted in an overall shorter persistence. The spatial and temporal characteristics of slow-4 and slow-5 were further compared, because they constitute most power of the resting-state fMRI signals. In general, slow-4 showed stronger coactivations or co-deactivations in subcortical regions, while slow-5 showed stronger coactivations or co-deactivations in large-scale cortical networks such as the dorsal attention network. Lastly, frequency-dependent dynamic alterations were also observed in schizophrenia patients. Combining the information obtained from both slow-5 and slow-4 increased the classification accuracy of schizophrenia patients than only using the typical range. In conclusion, our results revealed that the spatial and temporal characteristics of CAP state varied at different frequency bands, which could be helpful for identifying brain alterations in schizophrenia.Competing Interest StatementThe authors have declared no competing interest.