Comorbidities of male patients with sexual dysfunction in a psychiatry clinic: A study on industrial employees.

Background: Previous studies assessed the association of sexual dysfunction (SD) in cases of specific organic and psychiatric disorders separately as risk factors of SD, but the extent of association of various disorders in cases of SD was rarely evaluated. This study was conducted to assess almost all types of comorbidities to find out their effects on SD in male patients and to make complete diagnoses. Materials and Methods: All male patients aged between 18 and 60 years reporting with sexual problems to the psychiatry outpatient department were evaluated with Arizona sexual experiences scale (ASEX) for males. Their assessment included detailed medical and psychiatric history including medicine intake, physical and mental status examination. Relevant biochemical investigations were done including sex hormone assessment. Results: Among 104 males diagnosed as cases of SD according to the ASEX scale in 1 year period only 75 patients completed all the biochemical and hormonal assessments. It was observed that 38.67% were diagnosed as SD without any comorbidity, 25.33% had biochemical or hormonal or physical comorbidities, 21.33% had psychiatric comorbidities and 14.67% had psychiatric as well as biochemical or hormonal or physical comorbidities (n = 75). The severity of SD was higher in the patients with comorbidity and the age of the patients predicted its severity. Conclusion: All cases of SD should be assessed in detail for physical, biochemical, hormonal, and psychiatric comorbidities to treat them holistically. Psychiatrists should play a key role in assessing, diagnosing, treating, and referring them to the appropriate treatment provider.

Resting state quantitative electroencephalogram gamma power spectra in patients with first episode psychosis: An observational study.

INTRODUCTION: Electrophysiological abnormalities, especially in the gamma frequency range, have been well documented in schizophrenia. This study was aimed to investigate the gamma spectral power of the brain in patients with first episode psychosis, using high-resolution electroencephalography. METHODOLOGY: Twenty-nine neuroleptic naïve/free male patients with non-affective psychosis as per ICD 10 DCR clinical criteria were compared with thirty age, sex, education and handedness matched healthy individuals as controls. All participants underwent 192-channel resting electroencephalography (EEG) recording. Gamma spectral power was calculated for low (31-50 Hz) and high-gamma (51-70 and 71-100 Hz) bands and compared between two groups using MANOVA and supplementary one-way ANOVA. Pearson correlation and linear regression analyses were conducted between spectral power parameters and various clinical variables. RESULTS: The gamma spectral power in 31-50 Hz and 51-70 Hz frequency bands was found to be significantly higher in patients in most brain regions. Duration of illness predicted the gamma spectral power in both right and left frontal regions of the brain in the frequency range 31-50 Hz and 71-100 Hz, as well as in the right temporal region in 71-100 Hz range, where it was negatively correlated. CONCLUSION: Patients with first episode psychosis have increased gamma spectral power, which might be indirectly related to the duration of illness.

Resting State Quantitative Electroencephalogram Power Spectra in Patients with Depressive Disorder as Compared to Normal Controls: An Observational Study.

INTRODUCTION: A significant number of quantitative electroencephalogram (qEEG) studies indicate that increased spectral activities distinguish patients with depressive disorder from control subjects. But they did not yield consistent findings in the delta, theta, alpha, or beta bands. METHODS: A total of 30 drug-naïve or drug-free subjects with a depressive episode or recurrent depressive disorder were compared with 30 age, sex, education, and handedness-matched healthy controls using qEEG power spectra in six frequency bands (delta, theta, alpha, beta, slow beta, and fast beta) and total activities separately. Spectral analysis was performed on a section of 180 s of qEEG digitized at the rate of 512 samples/s/channel, and absolute powers were log-transformed before statistical analysis. RESULTS: Statistically significant differences between the patients and normal controls were found in the delta and the total bands, while Structured Interview Guide for the Hamilton Depression Rating Scale ( SIGH-D) score predicted the fast beta spectral power at the left temporal region. In the entire region of the brain, in the theta band, lesser absolute spectral power was found in patients than normal controls, whereas in the fast beta band, it was greater. In other bands, greater powers of spectral activities were found in patients than normal controls consistently in the parietal and occipital regions. CONCLUSION: Various findings of qEEG absolute power spectra could demonstrate a difference between the patients with depressive disorder and the normal controls independently and efficiently. However, all the differences collectively showed stronger evidence. The findings may steer future studies to differentiate the patients with depressive disorder from controls.

Psychosis in a case of encephalomalacia.

We report an adult female who had changes suggestive of encephalomalacia in bilateral temporal and basifrontal region in the magnetic resonance imaging of the brain but presented with psychiatric symptomatology suggestive of psychosis instead of neurological manifestations. Encephalomalacia is softening of the brain tissue which may lead to the brain changes and present with varied clinical manifestations. Most of the cases reported previously were in infants and children and almost all of them were related to neurological disorders. However, cases with psychiatric symptomatology were rarely reported, that too in adults. The authors discussed the psychiatric symptom profile, their management and emphasized the importance of imaging of the brain and its association with psychiatric manifestations.

Schneiderian first rank symptoms and gamma oscillatory activity in neuroleptic naïve first episode schizophrenia: a 192 channel EEG study.

OBJECTIVE: Schneiderian first-rank symptoms (FRS) and abnormal EEG gamma activity in schizophrenia have been reported independently to have a neurodevelopmental basis. We aimed to investigate spontaneous gamma power in two groups of first episode schizophrenia patients (those who experience FRS and those who do not). METHODS: A comparative hospital based study having 37neuroleptic naïve male patients with schizophrenia divided into two groups-FRS(+) and FRS(-) groups based on the presence of FRS. Thirty age, sex, education and handedness matched individuals served as controls (N). All participants underwent a 192-channel resting Electroencephalography (EEG) recording. Gamma spectral power was calculated for low- (30-50 Hz) and high-gamma 1 & 2 (51-70 and 71-100 Hz) bands. Spectral power was compared between three groups using MANOVA and supplementary one-way ANOVA with Bonferroni test controlling for multiple comparisons. Linear regression was used to identifying predictor variables for FRS. Pearson correlation coefficient was computed between spectral power parameters and various clinical variables. RESULTS: Significantly higher high gamma band-1 power was observed over right frontal (p<0.05), parietal (p<0.05) and temporal (p<0.05) regions in FRS(+) than FRS(-) group and normal controls. Right parietal high gamma-1 power and paranoid cluster on PANSS significantly predicted number of FRS in total schizophrenia patients; paranoid cluster on PANSS showed significant correlation with number of FRS in FRS(+) group. CONCLUSION: Findings of our study add to the evidence that areas contained within the hetero modal association cortex are associated with FRS. The study findings also strengthen the neurodevelopmental basis of FRS in schizophrenia.

Sporadic and familial subgroups of schizophrenia do not differ on dense array spontaneous gamma oscillatory activity.

Genetic variations and developmental insults independently have been proposed to underlie aberrant gamma activity in schizophrenia. We investigated differences in spectral power in gamma (30-100Hz) frequency in patients with familial and sporadic schizophrenia. Subjects underwent resting-awake EEG recording on 192 channels. The two patient subgroups did not significantly differ in any of the gamma bands and regions. We conclude that complex gene-environment interactions are responsible for the limited power of familial-sporadic distinction in schizophrenia.