Dark brain energy: Toward an integrative model of spontaneous slow oscillations by Zhu-Qing Gong instant download

Dark brain energy: Toward an integrative model of spontaneous slow oscillations by Zhu-Qing Gong instant download

ABSTRACTCommunicated by Prof. Jose Fernando Neural oscillations facilitate the functioning of the human brain in spatial and temporal diFontanarimensions at various frequencies. These oscillations feature a universal frequency architecture that Keywords:is governed by brain anatomy, ensuring frequency specificity remains invariant across different measurement techniques. Initial magnetic resonance imaging (MRI) methodology constrained Spontaneous brain activityfunctional MRI (fMRI) investigations to a singular frequency range, thereby neglecting the freSlow oscillationquency characteristics inherent in blood oxygen level-dependent oscillations. With advancements Neuroimagingin MRI technology, it has become feasible to decode intricate brain activities via multi-band Multi-band frequency analysisfrequency analysis (MBFA). During the past decade, the utilization of MBFA in fMRI studies Network neuroscienceConnectomehas surged, unveiling frequency-dependent characteristics of spontaneous slow oscillations Dark brain energy(SSOs) believed to base dark energy in the brain. There remains a dearth of conclusive insights Resting-state fMRIand hypotheses pertaining to the properties and functionalities of SSOs in distinct bands. We surveyed the SSO MBFA studies during the past 15 years to delineate the attributes of SSOs and enlighten their correlated functions. We further proposed a model to elucidate the hierarchical organization of multi-band SSOs by integrating their function, aimed at bridging theoretical gaps and guiding future MBFA research endeavors.