Neuronetwork Approach in the Early Diagnosis of Depression.

BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from depression worldwide. At present, the main way to quantify the severity of depression is through psychometric scales, which entail subjectivity on the part of both patient and clinician. In the last few years, deep (machine) learning is emerging as a more objective approach for measuring depression severity. We now investigate how neural networks might serve for the early diagnosis of depression. SUBJECTS AND METHODS: We searched Medline (Pubmed) for articles published up to June 1, 2023. The search term included Depression AND Diagnostics AND Artificial Intelligence. We did not search for depression studies of machine learning other than neural networks, and selected only those papers attesting to diagnosis or screening for depression. RESULTS: Fifty-four papers met our criteria, among which 14 using facial expression recordings, 14 using EEG, 5 using fMRI, and 5 using audio speech recording analysis, whereas 6 used multimodality approach, two were the text analysis studies, and 8 used other methods. CONCLUSIONS: Research methodologies include both audio and video recordings of clinical interviews, task performance, including their subsequent conversion into text, and resting state studies (EEG, MRI, fMRI). Convolutional neural networks (CNN), including 3D-CNN and 2D-CNN, can obtain diagnostic data from the videos of the facial area. Deep learning in relation to EEG signals is the most commonly used CNN. fMRI approaches use graph convolutional networks and 3D-CNN with voxel connectivity, whereas the text analyses use CNNs, including LSTM (long/short-term memory). Audio recordings are analyzed by a hybrid CNN and support vector machine model. Neural networks are used to analyze biomaterials, gait, polysomnography, ECG, data from wrist wearable devices, and present illness history records. Multimodality studies analyze the fusion of audio features with visual and textual features using LSTM and CNN architectures, a temporal convolutional network, or a recurrent neural network. The accuracy of different hybrid and multimodality models is 78-99%, relative to the standard clinical diagnoses.

Perceived Psychological Well-Being in Patients with Hemodynamically Insignificant Carotid Arteries Stenosis.

BACKGROUND: Analysis of the perception of the disease in borderline stenosis of the orifice of the internal carotid artery (ICA) (up to 69% in diameter) in asymptomatic patients. SUBJECTS AND METHODS: 48 patients (28 men and 20 women). Group 1: stenosis up to 49% - 23 people (13 men, 10 women), mean age 50.4±16.1 y.o. Group 2: stenosis 50-59% - 18 people (10 men, 8 women), mean age 57.3±16 y.o. Group 3: stenosis 60-69% - 7 people (5 men, 2 women), mean age 61±12.3 y.o. All patients underwent ultrasound Doppler of brachiocephalic arteries, examination with Brief Illness Perception Questionnaire E. Broadbent (Russian version). RESULTS: According to the results of examination of patients with ICA stenosis, patients with more pronounced lesions (60-69%) more often have a type of reaction "negative attitude to the consequences of the disease". CONCLUSIONS: The majority of patients (54.2%) have a "negative type of attitude towards the consequences of the disease". This type of attitude to the disease is most pronounced in women and patients with stenosis of the ICA 60-69%. It is necessary to perform the psychological work with patients with carotid stenosis in order to form in them more adaptive types of perception of the disease, understanding of the disease and a positive attitude towards treatment.

Dietary Patterns as Modifiable Risk Factors for Depression: a Narrative Review.

BACKGROUND: The role of nutrition in treating clinical depression has been widely discussed. Unhealthy lifestyle patterns, like lack of physical activity, junk food consumption, and irregular sleep patterns are common in depressed patients. Considering the mental and physical side-effects, the daily nutrition of these patients seems to be a plausible option for reducing depressive symptoms and enhancing treatment results. METHODS: A PubMed search was done for meta-analyses published from January 2018 to June 2023 with the query: (diet) AND (psychiatric disorder) AND (depression). We selected meta-analyses that met specific criteria like including the entire diet or specific diet patterns and having depression or depressive symptoms as a primary or secondary outcome. RESULTS: Out of 28 papers found, the 9 meta-analyses, selected for review, revealed different types of correlation between dietary patterns and the symptoms of depression and anxiety. Healthy diets were associated with higher intake of fruits, vegetables, nuts, and lower intake of pro-inflammatory food items like processed meats and trans fats. Adherence to such diets showed a negative association with incident depression in cross-sectional and longitudinal studies. A diet mostly including ultra-processed foods was associated with higher odds of depressive and anxiety symptoms. Women were found to be more susceptible than men both in developing the depressive symptoms with unhealthy diet and in reducing the symptoms of depression and anxiety with improvement of diet quality. Statistically significant improvement in symptoms of depression and anxiety in both sexes was observed in study groups assigned for individual consultations of a dietician and a psychotherapist when compared with group sessions or general recommendations. CONCLUSIONS: Research on the correlation of healthy dietary patterns and symptoms of depression and anxiety has mainly focused on non-clinical populations. The evidence supports an inverse association between healthy eating habits and symptoms of depression. Further research should be encouraged on the eating habits of clinically depressed individuals and the underlying physiological mechanisms of uncontrolled food intake.

The Role of D-Serine and D-Aspartate in the Pathogenesis and Therapy of Treatment-Resistant Schizophrenia.

Schizophrenia (Sch) is a severe and widespread mental disorder. Antipsychotics (APs) of the first and new generations as the first-line treatment of Sch are not effective in about a third of cases and are also unable to treat negative symptoms and cognitive deficits of schizophrenics. This explains the search for new therapeutic strategies for a disease-modifying therapy for treatment-resistant Sch (TRS). Biological compounds are of great interest to researchers and clinicians, among which D-Serine (D-Ser) and D-Aspartate (D-Asp) are among the promising ones. The Sch glutamate theory suggests that neurotransmission dysfunction caused by glutamate N-methyl-D-aspartate receptors (NMDARs) may represent a primary deficiency in this mental disorder and play an important role in the development of TRS. D-Ser and D-Asp are direct NMDAR agonists and may be involved in modulating the functional activity of dopaminergic neurons. This narrative review demonstrates both the biological role of D-Ser and D-Asp in the normal functioning of the central nervous system (CNS) and in the pathogenesis of Sch and TRS. Particular attention is paid to D-Ser and D-Asp as promising components of a nutritive disease-modifying therapy for TRS.

The Effects of Transcranial Magnetic Stimulation on Cognitive Functioning in Bipolar Depression: A Systematic Review.

BACKGROUND: The features of bipolar affective disorder (BAD) include mood swings, recurring episodes of mania, depression, and mixed states. Numerous studies of people living with BAD have found the presence of cognitive impairments that affect patients' daily social functioning and quality of life. Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation technique recommended for the treatment of bipolar depression (BD). The effect of TMS on cognitive function in BD patients remains mostly unclear. SUBJECTS AND METHODS: We carried out a systematic search in the databases of PubMed and Scopus for the whole publication period until March 30th, 2022. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) was used to identify all data published in English language and related to the use of TMS in the treatment of depression in BAD and its impact on cognitive function. Articles related to TMS, cognition, and BD were identified using predefined term search algorithms. Articles on clinical trials and case reports were included, but reviews were excluded. The PICOS (Population Intervention Comparison Outputs Study) formula in our review included: P - patients with bipolar depression, I - TMS treatment, C - patients without TMS treatment / placebo TMS, O - changes in cognitive functions, S - all types of original studies. RESULTS: Within the primary screening for assessment of full texts, 25 documents met our selection criteria to test the effect of TMS on cognitive functioning in BD. Based on a secondary screening of the full-text analysis, 10 articles (N=259 patients) were included into the current review. Among these, the majority of articles were based on the randomized controlled trials (RCTs, N=6), whereas the remaining four presented a case report, an open unblinded study, an open-label study, and a pilot study, respectively. Most of the studies produced mixed result. However, the limited data strongly suggested that TMS is without detriment to cognition in BD patients and is indeed beneficial in specific domains of cognitive function, namely (i) verbal fluency, (ii) verbal memory, and (iii) executive functioning. Small sample sizes, heterogeneity across the study designs, lack of the control groups data in some of the trials, different TMS protocols parameters and outcome measures represent significant limitations for comparing and analyzing the available results. CONCLUSIONS: Thus, present data on the effects of TMS in improving cognition in BD patients remains limited. To our mind, in order to evaluate properly the effectiveness of TMS in cognitive functioning improvement in BD, there is need for further randomized controlled trials and the corresponding development of the clinical standards for research recommendations. Such studies could define the appropriate methods for valid assessments of cognitive functions, and guide the selection of optimal TMS protocols when planning RCTs. We suggest that efforts should be expended to organize centralized large-scale clinical trials to determine the optimal parameters of TMS procedures and the range of effects of this treatment on various indicators of cognitive functioning in BD. This applies equally to other socially significant mental disorders marked by perturbations in cognitive functioning.

Non-Psychiatrist Healthcare Professionals? Attitudes Toward Patients with Mental Disorders: Lower Scores in Social Distance as a Fragile Facet of Public Stigma Against Depression.

BACKGROUND: The stigmatization by healthcare professionals (HP) of patients suffering from mental disorders is an important problem that interferes with the delivery of medical assistance. Social distancing by HP is an integral part of stigmatization, which differs between various mental disorders, as well as between psychiatrists (PSY) versus nonpsychiatrist healthcare professionals (NPHP). SUBJECTS AND METHODS: The study included 141 HP: PSY (n=20; 36.2±4.2 y.o.) and NPHP (n=121; 25.9±2.2 y.o.). The NPHP group included general practitioners (GP)/physicians (n=29; 20.6%), surgeons (n=19; 13.5%), obstetrician-gynecologists (n=26; 18.4%), neurologists (n=11; 7.8%), pediatricians (n=6; 4.3%), and other subspecialists (including urologists, tuberculosis specialists, ophthalmologists and dermatologists) (n=30; 21.3%). The modified Bogardus Social Distance Self-Assessment Scale (BSDS) was used to evaluate the indicators of social distance phenomena. The assessment was performed by HP for the following groups of patients with the following mental disorders: alcohol use disorder, bipolar disorder, depression, drug addiction, epilepsy, mental retardation, personality disorder, schizophrenia. All statistical calculations were performed using IBM SPSS-27 software (IBM Corp. 2021, licensed to Samara State Medical University). P-value ≤0.05 was determined as significant for the between-group (PSY vs NPHP) comparisons using a nonparametric Mann-Whitney U-test. RESULTS: Our data analysis showed that HP achieved varying social distance scores for patients depending on the type of mental disorder, but with common trends among PSY and NPHPs. The mean (SD) scores of social distance ranged from 3.65(1.50) for depression to 5.25 (1.74) for drug addiction in the PSY, versus 3.44 (1.69), 6.19 (1.37) in NPHP, respectively. As compared to PSY, mean BSDS total scores were greater in the NPHP group, notably in the obstetricians-gynecologist - 6.27(1.40), and GP - 6.62 (0.90) groups, with similar trends of differing attitudes appeared among pediatricians - 7.00 (0.01) - regarding drug addiction, whereas the neurologists demonstrated a tendency towards lower social distance in relation to patients with depression - 2.27 (1.68), and epilepsy - 2.82 (1.47). CONCLUSIONS: Social distance measures by PSY and NPHP groups in contemporary Russia were highest in relation to patients with drug addiction, and lowest scores for depression and epilepsy. Stigmatization among HPs seems to influence health care delivery to certain categories of patients, which calls for further investigation. Higher social distance scores for patients with drug addiction might be related to higher stigma and lack of compassion toward these patients. Conversely, lower scores of social distance and corresponding emotional acceptance of people with depression by HP might interfere in the timely diagnosis and availability of appropriate care at an early stage amenable to treatment. This might reflect the cultural context of depressive mentality in Russia, or elevated prevalence of depressive states among HP. We propose interventions aiming to destigmatize mental disorders by targeting particular subgroups of vulnerable patients and also certain representatives of HP community.