Journal of Neurodevelopmental Disorders · 2017 · 196 citations · 51 references
Life SciencesNeurologyNeuroscienceCognitive NeuroscienceIntellectual DisabilitiesSystems NeuroscienceCortical NetworksElectroencephalographyNeural ExcitabilityNeurodevelopmental DisordersNeuronal ExcitabilitySynaptic DysfunctionCentral Neural HyperexcitabilityFunctional Brain ConnectivityInhibitory Interneuron NetworksInterneuron FunctionNeuronal DysfunctionResting-state EegX-linked Intellectual DisabilityX-linked Neurodevelopmental Disorders
BACKGROUND: KO mice, a mouse model of the fragile X syndrome which is the most common single gene cause of autism and intellectual disability. METHODS: We collected resting state dense-array electroencephalography data from 21 fragile X syndrome (FXS) patients and 21 age-matched healthy participants. RESULTS: FXS patients exhibited greater gamma frequency band power, which was correlated with social and sensory processing difficulties. Second, FXS patients showed increased spatial spreading of phase-synchronized high frequency neural activity in the gamma band. Third, we observed increased negative theta-to-gamma but decreased alpha-to-gamma band amplitude coupling, and the level of increased theta power was inversely related to the level of resting gamma power in FXS. CONCLUSIONS: Increased theta band power and coupling from frontal sources may represent a mechanism providing compensatory inhibition of high-frequency gamma band activity, potentially contributing to the widely varying level of neurophysiological and behavioral abnormalities and treatment response seen in full-mutation FXS patients. These findings extend preclinical observations and provide new mechanistic insights into brain alterations and their variability across FXS patients. Electrophysiological measures may provide useful translational biomarkers for advancing drug development and individualizing treatments for neurodevelopmental disorders with associated neuronal hyperexcitability.
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Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Vikaas S. Sohal, Feng Zhang, Ofer Yizhar et al. · Nature · 2009 · 2.7K citations · Full text