Ketamine Alters Functional Gamma and Theta Resting-State Connectivity in Healthy Humans
Implications for Schizophrenia Treatment Targeting the Glutamate System
Bibliographic Data
Disturbed functional connectivity is assumed to cause neurocognitive deficits in patients suffering from schizophrenia. A Glutamate N-methyl-D-aspartate receptor (NMDAR) dysfunction has been suggested as a possible mechanism underlying altered connectivity in schizophrenia, especially in the gamma- and theta-frequency range. The present study aimed to investigate the effects of the NMDAR-antagonist ketamine on resting-state power, functional connectivity, and schizophrenia-like psychopathological changes in healthy volunteers. In a placebo-controlled crossover design, 25 healthy subjects were recorded using resting-state 64-channel-electroencephalography (EEG) (eyes closed). The imaginary coherence-based Multivariate Interaction Measure (MIM) was used to measure gamma and theta connectivity across 80 cortical regions. The network-based statistic was applied to identify involved networks under ketamine. Psychopathology was assessed with the Positive and Negative Syndrome Scale (PANSS) and the 5-Dimensional Altered States of Consciousness Rating Scale (5D-ASC). Ketamine caused an increase in all PANSS ( p p p changed meaning of percepts subscale of the 5D-ASC. These results are in line with resting-state patterns seen in people who have schizophrenia and argue for a crucial role of the glutamate system in mediating dysfunctional gamma- and theta-band-connectivity in schizophrenia. Resting-state networks could serve as biomarkers for the response to glutamatergic drugs or drug development efforts within the glutamate system
Anterior cingulate cortex · Cognition · Default mode network · Functional magnetic resonance imaging · Hallucinating · Insula · Ketamine · NMDA receptor · Positive and Negative Syndrome Scale · Precuneus · Psychiatry · Psychosis · Receptor · Resting state fMRI · Schizophrenia (object-oriented programming · Functional Brain Connectivity Studies · Medicine · Mental Health Research Topics · Neural dynamics and brain function · Neuroscience · Psychology · Internal Medicine
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| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |