Neuropsychophysiological correlates of depression

Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal

Major Depressive Disorder (MDD) is a high prevalence disease that needs an effective and timely treatment to prevent its progress and additional costs. Repetitive Transcranial Magnetic Stimulation (rTMS) is an effective treatment option for MDD patients which uses strong magnetic pulses to stimulate specific regions of the brain. However, some patients do not respond to this treatment which causes the waste of multiple weeks as treatment time and clinical resources. Therefore developing an effective way for the prediction of response to the rTMS treatment of depression is necessary. In this work, we proposed a hybrid model created by pre-trained Convolutional Neural Networks (CNN) models and Bidirectional Long Short-Term Memory (BLSTM) cells to predict response to rTMS treatment from raw EEG signal. Three pre-trained CNN models named VGG16, InceptionResNetV2, and EffecientNetB0 were utilized as Transfer Learning (TL) models to construct hybrid TL-BLSTM models. Then an ensemble of these models was created using weighted majority voting which the weights were optimized by Differential Evolution (DE) optimization algorithm. Evaluation of these models shows the superior performance of the ensemble model by the accuracy of 98.51%, sensitivity of 98.64%, specificity of 98.36%, F1-score of 98.6%, and AUC of 98.5%. Therefore, the ensemble of the proposed hybrid convolutional recurrent networks can efficiently predict the treatment outcome of rTMS using raw EEG data.

Effects of binge drinking and depression on cognitive-control processes during an emotional Go/No-Go task in emerging adults

INTRODUCTION

The goal of the current study was to examine differences in neurocognitive processes across groups marked by binge drinking and depression to identify patterns of cognitive and affective processing impairments.

METHODS

Undergraduate students (N = 104; 64% female) were recruited based on self-reported symptoms of depression and alcohol use. They completed an emotional Go/No-Go task while undergoing EEG. Mean amplitudes for N2 and P3 components were examined with 2 (Depressed/Non-depressed) X 2 (Binge/Non-binge drinkers) X 4 (Happy/Sad/Angry/Calm) X 3 (Left/Middle/Right) X 2 (Go/No-Go) repeated measures ANOVAs.

RESULTS

There were significant Trial Type X Valence X Depression X Binge Drinking interactions for N2 (F(3, 80) = 6.62, p < .01) and P3 (F(3, 80) = 4.65, p < .01) components. There was a significant Valence X Depression X Binge Drinking interaction for response bias (F(3, 65) = 3.11, p < .05).

LIMITATIONS

The source of our sample may be a limitation, as all participants were university students, potentially making the results less generalizable. Further, we cannot be certain that social desirability did not interfere with honest reporting of alcohol use in this population.

CONCLUSIONS

Differences in early inhibitory control were observed across emotions based on trial type among depressed non-binge drinkers, and these differences were attenuated in the presence of binge drinking. Further, the effects of depression on later inhibitory control were specific to non-binge drinkers. Results help to clarify the nature of underlying patterns of neurocognitive and affective risk processes that could be targeted by prevention and intervention programs.

The Relationship between Neuropsychiatric Symptoms and Cognitive Performance in Older Adults with Normal Cognition

Background and Objectives: To explore whether specific Neuropsychiatric Symptoms (NPS) are related to worse performance in particular cognitive domains. Materials and Methods: A cross-sectional analysis of the baseline evaluations of older (≥60 years), cognitively unimpaired (CU) participants from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set was performed. Data were derived from 43 Alzheimer's Disease Research Centers. Cognitively impaired individuals, participants with psychiatric disorders and/or under treatment with antipsychotic, anxiolytic, sedative, or hypnotic agents were excluded. NPS were assessed using the Neuropsychiatric Inventory Questionnaire. The association of NPS with participants' performance on episodic memory, semantic memory, language, attention, processing speed and executive function was analysed using an adjusted (considering important demographic and medical factors) multivariate general linear model. Results: A total of 7179 CU, older, predominantly female, Caucasian, and well-educated participants were included in the present analysis. Among them, 1856 individuals had one or more NPS. Our analysis revealed that moderate/severe anxiety was related to worse performance on semantic memory, attention and executive function, the presence of hallucinations was linked to worse processing speed and executive function scores, while the presence of elation/euphoria and aberrant motor behaviour were associated with poorer attention and language performance, respectively. In the context of a secondary, exploratory analysis, the presence of moderate/severe delusions was related to worse processing speed and executive function performance. Conclusions: The relationship between specific NPS and worse performance in particular cognitive domains could inform the formulation of individualized preventive strategies directed to the ''fortification'' of specific cognitive functions in CU individuals with NPS.

Modulation of Heart and Brain Function by Surah Al-Rehman Recitation Among Distressed Diabetic Patients in Pakistan

Distress causes psychophysiological alterations that affect autonomic function. The current study explores psychophysiological modulation in diabetic distress in response to Surah Al-Rehman recitation. A single-group experimental study with before and after intervention assessments was conducted during April 2018 to February 2019 in which participants (n = 10) listened to Surah Al-Rehman recitation. Blood pressure, blood glucose, cortisol, ECG and EEG were recorded before and after recitation. Significant reduction in systolic blood pressure, increase in low frequency and absolute alpha power at Fp2 were observed. Heartbeat evoked potentials (HEP) were also significantly modulated at Fp1, Fp2 and F4. These findings suggest that Surah Al-Rehman modulated baroreflex activity thereby reducing sympathetic activity and improved heart brain coherence as reflected by HEP.

Diagnosing and treating depression in epilepsy

At least one third of patients with active epilepsy suffer from significant impairment of their emotional well-being. A targeted examination for possible depression (irrespective of any social, financial or personal burdens) can identify patients who may benefit from medical attention and therapeutic support. Reliable screening instruments such as the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) are suitable for the timely identification of patients needing help. Neurologists should be capable of managing mild to moderate comorbid depression but referral to mental health specialists is mandatory in severe and difficult-to-treat depression, or if the patient is acutely suicidal. In terms of the therapeutic approach, it is essential first to optimize seizure control and minimize unwanted antiepileptic drug-related side effects. Psychotherapy for depression in epilepsy (including online self-treatment programs) is underutilized although it has proven effective in ten well-controlled trials. In contrast, the effectiveness of antidepressant drugs for depression in epilepsy is unknown. However, if modern antidepressants are used (e.g. SSRI, SNRI, NaSSA), concerns about an aggravation of seizures and or problematic interactions with antiepileptic drugs seem unwarranted. Epilepsy-related stress ("burden of epilepsy") explains depression in many patients but acute and temporary seizure-related states of depression or suicidality have also been reported. Limbic encephalitits may cause isolated mood alteration without any recognizable psychoetiological background indicating a possible role of neuroinflammation. This review will argue that, overall, a bio-psycho-social model best captures the currently available evidence relating to the etiology and treatment of depression as a comorbidity of epilepsy.

Predictors of the work-related depressive symptoms among blue-collar male employees of an industrial unit in Iran

BACKGROUND AND AIM

Possible associations between depressive symptoms and work-related parameters have frequently been discussed in the literature. The present study was aimed to evaluate the work-related depressive symptoms and their possible-related parameters among male employees of Esfahan Steel Company (ESCO) as one of the most important industrial sites in Iran.

MATERIALS AND METHODS

With a cross-sectional design and a stratified random sampling method in 2010, a total of 400 male employees were enrolled from the operational parts of the ESCO.

RESULTS

Among 400 participated employees, 245 (61.3%) were rotational duty employees and 358 (89.5%) were reported making <$500. After applying the linear regression model, some variables including: economic difficulties (P = 0.022, odds ratio [OR] = 0.558, 95% confidence interval [CI] =0.339-0.919), family-related problems (P = 0.003, OR = 0.303, 95% CI = 0.138-0.669), and work environment (P < 0.001, OR = 0.244, 95% CI = 0.140-0.426) were found to be significantly associated with higher depressive symptoms among the participants.

CONCLUSION

The present study brought to light the predictors of occupational depressive symptoms among blue-collar employees of ESCO. More research is needed to find the causal relations between mental health and work-related parameters among Iranian employees.