AI Article Synopsis

  • * Researchers analyzed brain signals from 166 humans and found that the most prominent resting-state pattern is an "essential mode" (EM) that shows a distinctive asymmetric distribution, while a second pattern aligns with the DMN.
  • * The analysis revealed genuine oscillatory behavior in the low-frequency range below 0.2 Hz for both the EM and DMN-like modes after filtering out background noise in the data.

Article Abstract

Resting-state of the human brain has been described by a combination of various basis modes including the default mode network (DMN) identified by fMRI BOLD signals in human brains. Whether DMN is the most dominant representation of the resting-state has been under question. Here, we investigated the unexplored yet fundamental nature of the resting-state. In the absence of global signal regression for the analysis of brain-wide spatial activity pattern, the fMRI BOLD spatiotemporal signals during the rest were completely decomposed into time-invariant spatial-expression basis modes (SEBMs) and their time-evolution basis modes (TEBMs). Contrary to our conventional concept above, similarity clustering analysis of the SEBMs from 166 human brains revealed that the most dominant SEBM cluster is an asymmetric mode where the distribution of the sign of the components is skewed in one direction, for which we call essential mode (EM), whereas the second dominant SEBM cluster resembles the spatial pattern of DMN. Having removed the strong 1/f noise in the power spectrum of TEBMs, the genuine oscillatory behavior embedded in TEBMs of EM and DMN-like mode was uncovered around the low-frequency range below 0.2 Hz.

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Source
http://dx.doi.org/10.1016/j.neuroimage.2024.120884DOI Listing

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