Intrinsic functional architecture predicts electrically evoked responses in the human brain.

Keller, CJ; Bickel, S; Entz, L [Entz, László (Idegsebészet), author] Institute of Cognitive Neuroscience and Psychology (RCNS); Országos Idegtudományi Intézet; Ulbert, I [Ulbert, István (Idegtudományok), author] Institute of Cognitive Neuroscience and Psychology (RCNS); Milham, MP; Kelly, C; Mehta, AD

English Scientific Article (Journal Article)
  • Szociológiai Tudományos Bizottság: A nemzetközi
  • Gazdaságtudományi Doktori Minősítő Bizottság: C nemzetközi
  • SJR Scopus - Multidisciplinary: D1
    Adaptive brain function is characterized by dynamic interactions within and between neuronal circuits, often occurring at the time scale of milliseconds. These complex interactions between adjacent and noncontiguous brain areas depend on a functional architecture that is maintained even in the absence of input. Functional MRI studies carried out during rest (R-fMRI) suggest that this architecture is represented in low-frequency (<0.1 Hz) spontaneous fluctuations in the blood oxygen level-dependent signal that are correlated within spatially distributed networks of brain areas. These networks, collectively referred to as the brain's intrinsic functional architecture, exhibit a remarkable correspondence with patterns of task-evoked coactivation as well as maps of anatomical connectivity. Despite this striking correspondence, there is no direct evidence that this intrinsic architecture forms the scaffold that gives rise to faster processes relevant to information processing and seizure spread. Here, we demonstrate that the spatial distribution and magnitude of temporally correlated low-frequency fluctuations observed with R-fMRI during rest predict the pattern and magnitude of corticocortical evoked potentials elicited within 500 ms after single-pulse electrical stimulation of the cerebral cortex with intracranial electrodes. Across individuals, this relationship was found to be independent of the specific regions and functional systems probed. Our findings bridge the immense divide between the temporal resolutions of these distinct measures of brain function and provide strong support for the idea that the low-frequency signal fluctuations observed with R-fMRI maintain and update the intrinsic architecture underlying the brain's repertoire of functional responses.
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    2021-09-27 11:24