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1.
Brain Topogr ; 23(2): 199-204, 2010 Jun.
Article in English | MEDLINE | ID: mdl-19943102

ABSTRACT

This is a quantitative EEG study of gender-related differences in brain function. It is novel in that to elicit gender differences, it was necessary to apply a spatial filter to the EEGs that was effective for suppressing components common to different cognitive states. The study involved estimates of both the source-current power density in the brain and the complex coherence between different regions in the brain, the latter probably unique in EEG source analysis. Gender effects are shown in terms of differences in both lateralized source power and complex coherence in response to verbal and spatial cognitive challenges. The results provide evidence that verbal and spatial challenges are more lateralized in males than in females, that females are more verbal than males, that males are more spatial than females, that females verbalize more interpretively than males and that males verbalize more consequentially than females.


Subject(s)
Brain/physiology , Cognition/physiology , Sex Characteristics , Space Perception/physiology , Speech/physiology , Adult , Algorithms , Alpha Rhythm , Brain Mapping/methods , Electroencephalography/methods , Female , Functional Laterality , Humans , Male , Neuropsychological Tests , Rest , Signal Processing, Computer-Assisted
2.
Psychiatry Res ; 181(2): 155-64, 2010 Feb 28.
Article in English | MEDLINE | ID: mdl-20006474

ABSTRACT

Sixty-one dextral, unmedicated women with chronic fatigue syndrome (CFS) diagnosed according to the Fukuda criteria (1994) and referred for investigation by rheumatologists and internists were studied with quantitative EEG (43 channels) at rest with eyes open and during verbal and spatial cognitive activation. The EEGs from the patients were compared with recordings from 80 dextral healthy female controls. Only those subjects who could provide 20 1-s artefact-free segments of EEG were admitted into the study. The analysis consisted of the identification of the spatial patterns in the EEGs that maximally differentiated the two groups and the estimation of the cortical source distributions underlying these patterns. Spatial patterns were analyzed in the alpha (8-13Hz) and beta (14-20Hz) bands and the source distributions were estimated using the Borgiotti-Kaplan BEAMFORMER algorithm. The results indicate that the spatial patterns identified were effective in separating the two groups, providing a minimum correct retrospective classification rate of 72% in both frequency bands while the subjects were at rest to a maximum of 83% in the alpha band during the verbal cognitive condition. Underlying cortical source distributions showed significant differences between the two groups in both frequency bands and in all cognitive conditions. Lateralized cortical differences were evident between the two groups in the both frequency bands during both the verbal and spatial cognitive conditions. During these active cognitive conditions, the CFS group showed significantly greater source-current activity than the controls in the left frontal-temporal-parietal regions of the cortex.


Subject(s)
Brain Mapping , Brain/physiopathology , Electroencephalography , Fatigue Syndrome, Chronic/pathology , Fatigue Syndrome, Chronic/physiopathology , Adult , Female , Humans , Numerical Analysis, Computer-Assisted , Spectrum Analysis , Young Adult
3.
Psychiatry Res ; 130(2): 171-90, 2004 Feb 15.
Article in English | MEDLINE | ID: mdl-15033187

ABSTRACT

Imaging studies and quantitative electroencephalography (EEG) have often, but not consistently, implicated the left hemisphere and the prefrontal cortex in schizophrenia. To help clarify this picture, a spatial filter shown to be effective for enhancing differences between EEG populations was combined with low-resolution electromagnetic tomography and used to compare the source-current densities from a group of 57 male subjects with schizophrenia and a group of 65 matched controls. To elicit differences, comparisons were made during resting conditions and during verbal and spatial cognitive challenges to the subjects. Estimates of the source-current density were derived from 43-electrode recordings of the EEG reduced to the delta, alpha and beta frequency bands. The patients were unmedicated and were selected according to DSM-IV criteria. As a group, they were severe, chronic states with both deficit negative and superimposed florid psychotic symptomatology. The results confirm that schizophrenia is a left-hemispheric disorder centered in the temporal and frontal lobes. They also suggest that, in schizophrenia, functions normally performed by these regions in controls are assumed by homologous regions in the opposite hemispheres.


Subject(s)
Electroencephalography , Image Processing, Computer-Assisted , Imaging, Three-Dimensional , Prefrontal Cortex/physiopathology , Schizophrenia/diagnosis , Schizophrenic Psychology , Signal Processing, Computer-Assisted , Tomography, X-Ray Computed , Adult , Algorithms , Alpha Rhythm , Beta Rhythm , Brain Mapping , Cerebral Cortex/physiopathology , Delta Rhythm , Dominance, Cerebral/physiology , Fourier Analysis , Frontal Lobe/physiopathology , Humans , Male , Neuropsychological Tests , Orientation/physiology , Pattern Recognition, Visual/physiology , Schizophrenia/physiopathology , Software , Temporal Lobe/physiopathology
4.
Psychiatry Res ; 130(2): 191-207, 2004 Feb 15.
Article in English | MEDLINE | ID: mdl-15033188

ABSTRACT

Imaging studies and quantitative EEG have often, but not consistently, implicated the right hemisphere and the left prefrontal cortex in depression. To help clarify this picture, a spatial filter shown to be effective for enhancing differences between EEG populations was combined with an electrical tomographic approach called low-resolution electromagnetic tomography and used to compare the source-current densities from a group of 25 male subjects with depression and a group of 65 matched controls. To elicit differences, comparisons were made during resting conditions and during verbal and spatial cognitive challenges to the subjects. Estimates of the source-current density were derived from 43-electrode recordings of the EEG reduced to the delta, alpha and beta frequency bands. The depressed subjects were unmedicated and selected according to DSM IV criteria. Regions of significantly increased current density in depression compared to controls were generally right hemispheric, while regions of significantly decreased current density were generally frontal and left hemispheric. A within-group comparison of the depressed subjects during the two cognitive challenges suggested a left anterior functional hypoactivation in depression. Retrospective classification of the two groups indicated that the spatial challenge best separated the groups irrespective of frequency band.


Subject(s)
Depressive Disorder, Major/diagnosis , Electroencephalography , Image Processing, Computer-Assisted , Imaging, Three-Dimensional , Prefrontal Cortex/physiopathology , Psychotic Disorders/diagnosis , Signal Processing, Computer-Assisted , Tomography, X-Ray Computed , Adult , Algorithms , Alpha Rhythm , Arousal/physiology , Attention/physiology , Beta Rhythm , Brain Mapping , Cerebral Cortex/physiopathology , Delta Rhythm , Depressive Disorder, Major/physiopathology , Dominance, Cerebral/physiology , Fourier Analysis , Humans , Male , Middle Aged , Neuropsychological Tests , Orientation/physiology , Pattern Recognition, Visual/physiology , Psychomotor Performance/physiology , Psychotic Disorders/physiopathology , Reaction Time/physiology , Reference Values , Retrospective Studies
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