Intrinsic Brain Activity and Resting State Networks

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Intrinsic brain activity, that is, neural processes unrelated to immediate sensory and motor functions, has been known to exist for nearly a century. However, the physiological functions of this activity remain poorly understood. Resting state functional magnetic resonance imaging (RS-fMRI) has emerged as a major technique for studying the brain’s intrinsic activity. This review briefly discusses the history of related scientific developments antecedent to the discovery of RS-fMRI. Next, the major features of intrinsic activity, as observed using RS-fMRI, are presented in some detail. Intrinsic activity is spatio-temporally organized into functional systems known as resting state networks (RSNs). Several aspects of RSNs are discussed, including topographic relations to task-evoked responses, plasticity, state dependence, and development over the lifespan. Several crucial aspects of practical RS-fMRI are discussed, including the problem of artifact and strategies for minimizing the impact of artifact. The last part of this review discusses the current state of RS-fMRI as applied to the study of neurologic and psychiatric conditions.

Original languageEnglish
Title of host publicationNeuroscience in the 21st Century
Subtitle of host publicationFrom Basic to Clinical: Third Edition
PublisherSpringer International Publishing
Pages1939-1990
Number of pages52
ISBN (Electronic)9783030888329
ISBN (Print)9783030888312
DOIs
StatePublished - Jan 1 2022

Keywords

  • Acquisition
  • Alzheimer’s disease (AD)
  • Anatomical vs. functional connectivity
  • Artifact
  • Artifact reduction
  • Autism spectrum disorders (ASD)
  • Blood oxygen level dependent (BOLD) signal
  • BOLD fMRI functional connectivity
  • BOLD RS-fMRI acquisition
  • Covariance
  • Default mode network (DMN)
  • Depends on level of arousal
  • Frame censoring
  • Functional connectivity
  • Graph theory
  • Intrinsic BOLD fluctuations
  • Lifespan changes
  • Nonneural low-frequency oscillations
  • Phase-amplitude coupling (PAC)
  • Physiological noise
  • Plasticity
  • Practical considerations
  • Preprocessing schemes
  • Rebalancing of synaptic weights
  • Resting state fMRI (RS-fMRI)
  • Resting state networks (RSNs)
  • Spatial independent component analysis (sICA)
  • Voxelwise amplitude of low-frequency fluctuations (ALFF)

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