4.1 Article

Patterns of Spontaneous Magnetoencephalographic Activity in Patients With Schizophrenia

期刊

JOURNAL OF CLINICAL NEUROPHYSIOLOGY
卷 27, 期 3, 页码 179-190

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/WNP.0b013e3181e0b20a

关键词

Magnetoencephalography; Schizophrenia; Resting state networks; Oscillations; Positive symptoms; Antipsychotic agents

资金

  1. National Institute of Health [1K08MH072771, 5K08MH067966]
  2. NIMH Conte Center [5P50MH060450]
  3. NATIONAL INSTITUTE OF MENTAL HEALTH [K08MH072771, K08MH067966, P50MH060450] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS069696, R01NS060918] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Magnetoencephalography noninvasively measures the magnetic fields produced by the brain. Pertinent research articles from 1993 to 2009 that measured spontaneous, whole-head magnetoencephalography activity in patients with schizophrenia were reviewed. Data on localization of oscillatory activity and correlation of these findings with psychotic symptoms are summarized. Although the variety of measures used by different research groups makes a quantitative meta-analysis difficult, it appears that magnetoencephalography activity in patients may exhibit identifiable patterns, defined by topographic organization and frequency band. Specifically, 11 of the 12 studies showed increased theta (4-8 Hz) and delta (1-4 Hz) band oscillations in the temporal lobes of patients; of the 10 studies that examined the relationship between oscillatory activity and symptomatology, 8 found a positive correlation between temporal lobe theta activity and positive schizophrenic symptoms. Abnormally high frontal delta activity was not seen. These findings are analyzed in comparison with the electroencephalogram literature on schizophrenics, and possible confounds (e.g., medication effects) are discussed. In the future, magnetoencephalography might be used to assist in diagnosis or might be fruitfully used in conjunction with new neuroscience research approaches such as computational modeling, which may be able to link oscillatory activity and cellular-level pathology.

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