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Thalamic metabolic rate predicts EEG alpha power in healthy control subjects but not in depressed patients.
- Source :
-
Biological psychiatry [Biol Psychiatry] 1999 Apr 15; Vol. 45 (8), pp. 943-52. - Publication Year :
- 1999
-
Abstract
- Background: EEG alpha power has been demonstrated to be inversely related to mental activity and has subsequently been used as an indirect measure of brain activation. The hypothesis that the thalamus serves as a neuronal oscillator of alpha rhythms has been supported by studies in animals, but only minimally by studies in humans.<br />Methods: In the current study, PET-derived measures of regional glucose metabolism, EEG, and structural MRI were obtained from each participant to assess the relation between thalamic metabolic activity and alpha power in depressed patients and healthy controls. The thalamus was identified and drawn on each subject's MRI. The MRI was then co-registered to the corresponding PET scan and metabolic activity from the thalamus extracted. Thalamic activity was then correlated with a 30-min aggregated average of alpha EEG power.<br />Results: Robust inverse correlations were observed in the control data, indicating that greater thalamic metabolism is correlated with decreased alpha power. No relation was found in the depressed patient data.<br />Conclusions: The results are discussed in the context of a possible abnormality in thalamocortical circuitry associated with depression.
- Subjects :
- Adult
Depressive Disorder, Major psychology
Electrooculography
Female
Fluorodeoxyglucose F18
Functional Laterality physiology
Glucose metabolism
Health Status
Humans
Magnetic Resonance Imaging
Male
Nerve Net physiology
Radiopharmaceuticals
Severity of Illness Index
Thalamus anatomy & histology
Thalamus diagnostic imaging
Tomography, Emission-Computed
Alpha Rhythm
Depressive Disorder, Major diagnosis
Depressive Disorder, Major metabolism
Thalamus metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 0006-3223
- Volume :
- 45
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Biological psychiatry
- Publication Type :
- Academic Journal
- Accession number :
- 10386175
- Full Text :
- https://doi.org/10.1016/s0006-3223(98)00350-3