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 RSfMRI, 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 language | English |
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Title of host publication | Neuroscience in the 21st Century |
Subtitle of host publication | From Basic to Clinical, Second Edition |
Publisher | Springer New York |
Pages | 1625-1676 |
Number of pages | 52 |
ISBN (Electronic) | 9781493934744 |
ISBN (Print) | 9781493934737 |
DOIs | |
State | Published - Jan 1 2016 |
Keywords
- Acquisition
- Alzheimer’s disease (AD)
- Anatomical vs. functional connectivity
- Artifact
- Artifact reduction
- Autism spectrum disorders (ASD)
- BOLD RS-fMRI acquisition
- BOLD fMRI functional connectivity
- Blood oxygen level dependent (BOLD) signal
- 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
- Phaseamplitude 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)