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Brain Rhythms and Neural Syntax: Implications for Efficient Coding of Cognitive Content and Neuropsychiatric Disease

Overview
Specialty Neurology
Date 2013 Feb 9
PMID 23393413
Citations 209
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Abstract

The perpetual activity of the cerebral cortex is largely supported by the variety of oscillations the brain generates, spanning a number of frequencies and anatomical locations, as well as behavioral correlates. First, we review findings from animal studies showing that most forms of brain rhythms are inhibition-based, producing rhythmic volleys of inhibitory inputs to principal cell populations, thereby providing alternating temporal windows of relatively reduced and enhanced excitability in neuronal networks. These inhibition-based mechanisms offer natural temporal frames to group or "chunk" neuronal activity into cell assemblies and sequences of assemblies, with more complex multi-oscillation interactions creating syntactical rules for the effective exchange of information among cortical networks. We then review recent studies in human psychiatric patients demonstrating a variety alterations in neural oscillations across all major psychiatric diseases, and suggest possible future research directions and treatment approaches based on the fundamental properties of brain rhythms.

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References
1.
Iosifescu D . Electroencephalography-derived biomarkers of antidepressant response. Harv Rev Psychiatry. 2011; 19(3):144-54. DOI: 10.3109/10673229.2011.586549. View

2.
Morrell M . Responsive cortical stimulation for the treatment of medically intractable partial epilepsy. Neurology. 2011; 77(13):1295-304. DOI: 10.1212/WNL.0b013e3182302056. View

3.
Tononi G, Edelman G . Consciousness and complexity. Science. 1998; 282(5395):1846-51. DOI: 10.1126/science.282.5395.1846. View

4.
Renart A, de la Rocha J, Bartho P, Hollender L, Parga N, Reyes A . The asynchronous state in cortical circuits. Science. 2010; 327(5965):587-90. PMC: 2861483. DOI: 10.1126/science.1179850. View

5.
Tort A, Kramer M, Thorn C, Gibson D, Kubota Y, Graybiel A . Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task. Proc Natl Acad Sci U S A. 2008; 105(51):20517-22. PMC: 2629291. DOI: 10.1073/pnas.0810524105. View