Keywords: Tumors, fMRI (resting state)This study investigated the temporal features of the brain network activity with dynamic fractional amplitude of low-frequency fluctuation (dfALFF) and sliding window approach. The time-varying brain activity was clustered into two distinct states. Patients’ brains featured high occurrence of the weak state, low occurrence of the strong state, and network dALFF that decreased but spatially extended with the tumor malignancy. The dfALFF variance of networks was attenuated in HGGs but not LGGs. These malignancy-specific alterations indicate a diverse neuropathological profile of gliomas, and highlight the importance of temporal features of brain activity in the disease characterization of glioma.
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