The role of social support on the relationships between internet use and sleep problems in adolescents during COVID-19 pandemic: a multicentre study.

BACKGROUND: This study examines the frequency of problematic internet use and sleep problems in adolescents aged 14-18 years during the COVID-19 pandemic and identifies the impact of factors such as sociodemographic characteristics, internet habits, changes in daily life, and perceived social support on these problems. METHODS: This multicentre study was a questionnaire-based online survey study. The questionnaire included the Young Internet Addiction Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Scale of Perceived Social Support, as well as questions about demographic information, internet habits, and changes in daily life during pandemic. Several multivariate Backward logistic regression models were run to determine the variables that predicted problematic internet use and poor sleep quality. RESULTS: It was determined that the frequency of problematic internet use was 15.5%, and the frequency of poor sleep quality was 47.8%. Poor sleep quality was found 2.5 times higher in problematic internet users. The perceived social support was found insufficient in adolescents with problematic internet use and poor sleep quality. Various factors such as the excessive use of internet and social media, low school success, lack of physical activity, lack of rules for internet use at home, and worsening of relationships with parents were found to be predictive factors for these problems. CONCLUSIONS: Problematic internet use during the pandemic is associated with worsening sleep quality in adolescents. It is important to create special interventions for problematic internet use and sleep problems that develop in adolescents as a result of restrictions during the pandemic.

Latent profile analysis of COVID-19 fear, depression, anxiety, stress, mindfulness, and resilience.

The purpose of the current study was to identify latent profiles of COVID-19 fear, depression, anxiety, stress, mindfulness, and resilience among university students. A total of 506 university undergraduate and graduate students from various universities were recruited through online platforms in Turkey. Data were collected utilizing self-report scales and were analyzed utilizing latent profile analysis. Results indicated significant relationships among COVID-19 fear, depression, anxiety, stress, resilience, and mindfulness. A three-class solution was adapted to fit the current data. Findings revealed that 46% of the participants were classified into the high COVID-19 fear and medium psychological symptoms profile. Also, 38% of the participants were identified as low psychological symptoms and high mindfulness and resilience. Additionally, 16% of the participants were classified as high COVID-19 fear, psychological symptoms and low mindfulness and resilience. Female gender was positively associated with COVID-19 fear, depression, anxiety, and stress. Life satisfaction and social support were positively associated with the mindfulness and resilience, and were negatively related to COVID-19 fear, depression, anxiety, and stress.

An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry.

Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, DL algorithms start dominating various fields including neuropsychiatry. There are many types of DL algorithms for different data types from survey data to functional magnetic resonance imaging scans. Because of limitations in diagnosing, estimating prognosis and treatment response of neuropsychiatric disorders; DL algorithms are becoming promising approaches. In this review, we aim to summarize the most common DL algorithms and their applications in neuropsychiatry and also provide an overview to guide the researchers in choosing the proper DL architecture for their research.

Impaired auditory and visual time reproduction in adult patients with attention deficit-hyperactivity disorder.

Objective: Although impaired time perception is associated with significant disturbance in the everyday functioning of adult patients with Attention Deficit-Hyperactivity Disorder (ADHD), it is not very well studied. The present study aimed to evaluate both visual and auditory time reproduction (TR) by using eight time intervals in adult ADHD patients compared to healthy controls (HC).Method: Wechsler Adult Intelligence Scale-R (WAIS-R), Adult Attention Deficit-Hyperactivity Disorder Self-Report Scale (ASRS), Wender Utah Rating Scale (WURS), Hyperfocusing Scale (HS), Beck Depression Inventory (BDI) and a 2-back task were administered to participants. In TR tasks, participants reproduced the same duration of the auditory/visual stimulus by pressing a key and absolute discrepancy scores (ADS) were calculated. A 2 (Group) x 2 (Task Modality) x 8 (Time Interval: 500, 1000, 2000, 4000, 6000, 8000, 12000 and 16000 msec) mixed-design ANOVA was performed.Results: All clinical scores of ADHD group were higher than HC (p < .001) while WAIS-R and 2-back performances of the groups were similar. Mixed-design ANOVA yielded significant Group and Time Interval main effects as well as a Group X Time Interval effect (both p < .001). ADHD patients had larger ADS than HC and as time intervals increased, error levels increased. Errors for time intervals >8000 msec were more prominent in patients. For both TR tasks, ASRS-hyperactivity/impulsivity scores were the main predictor of ADS in the linear regression analysis, while ASRS-attention deficit and HS scores were excluded.Conclusion: Results of the present study indicate significant TR impairment in adult ADHD regardless of task modality (visual or auditory), depressive symptoms and working memory performances. Longer time intervals in TR tasks differentiated patients better and TR impairment was associated with hyperactivity/impulsivity. These findings should be replicated in larger samples and underlying neurobiological components of impaired TR need to be examined in future research.

The relationship of cortical activity induced by pain stimulation with clinical and cognitive features of somatic symptom disorder: A controlled functional near infrared spectroscopy study.

OBJECTIVE: The neurobiological correlates of Somatic Symptom Disorder (SSD) introduced in the DSM-5 has been the focus of a limited investigation. We aimed to examine the cortical response to painful stimuli and its relationship to symptom severity as well as cognitive and psychological characteristics in proposed models of somatoform disorders. METHODS: We measured hemodynamic responses by 52-channel functional near-infrared spectroscopy. We compared the cortical response to painful stimuli in index patients with SSD (N = 21) versus age, and gender matched healthy control subjects (N = 21). We used brush stimulation as the control condition. We analyzed the relationship of cortical activity with SSD symptom severity as well as somatosensory amplification (SSA), alexithymia, dysfunctional illness behaviour, worry, and neuroticism. RESULTS: Patients with SSD had higher somatic symptom severity, SSA, alexithymia, neuroticism, illness-related worry, and behaviour. Somatic symptom severity was predicted by a model including SSA and subjective feeling of pain in the index patients. Activity in the left-angular and right-middle temporal gyri was higher in the SSD subjects than the controls during pain stimulation. Positive correlations were detected between mean pain threshold levels and left middle occipital gyrus activity, as well as between SSA-scores and right-angular gyrus activity during pain condition in the index patients with SSD. CONCLUSION: We present the first evidence that representation of pain in terms of cortical activity is different in subjects with SSD than healthy controls. SSA has functional neuroanatomic correlates and predicts symptom severity in SSD and therefore is involved as a valid intermediate phenotype in SSD pathophysiology.

Associations Between Subclinical Inflammatory Markers and OCD: A Retrospective Study.

Obsessive-compulsive disorder (OCD) is characterized by unwanted, intrusive and disturbing thoughts or images that cause anxiety and repetitive behaviours or mental acts to relieve these thoughts or images. Considering controversial aetiology of OCD and growing evidence for the role of inflammation in OCD, the aim of this study was to examine the association between OCD and subclinical inflammatory markers, namely neutrophil-to-lymphocyte ratio(NLR) and platelet-to-lymphocyte ratio(PLR) in adult patients and to investigate the association between antidepressant medications and NLR, PLR. Electronic medical records(EMR) of 24,635 patients aged 18-64 were reviewed and after exclusion of comorbid psychiatric and medical diagnosis 135 EMR of OCD patients were included into final analyses and compared with the healthy control group (n=133). Blood cell counts were noted to calculate NLR and PLR. Medications of patients were gathered from all patients to calculate fluoxetine-equivalent-dose(FED) to examine the effects of antidepressants on NLR and PLR. NLR and PLR were significantly higher in OCD. Contrary to the correlation of FED with NLR, PLR was found to not correlate with FED. Hence, PLR would be considered as a robust biomarker to medication effect contrary to NLR. OCD was significantly predicted by both NLR and PLR in logistic regression analyzes.

Tamoxifen-induced acute mania: A case report.

INTRODUCTION: Tamoxifen is widely used for the treatment of hormone-responsive breast cancer, osteoporosis, and post-menopausal symptoms. Also, tamoxifen is currently under investigation for its anti-manic properties. In this article, we report a case who developed manic episode following the initiation of tamoxifen and remitted with discontinuation of the medication. CASE REPORT: A 58-year-old woman was diagnosed with breast cancer. Pathologic diagnosis was invasive ductal carcinoma. Following bilateral total mastectomy operation, trastuzumab was initiated with intervals of 21 days. Five days before the fourth application of trastuzumab, tamoxifen was added. On the sixth day following the initiation of tamoxifen, manic symptoms were developed and she was diagnosed as acute mania. MANAGEMENT AND OUTCOME: The oncology department suggested withdrawing tamoxifen due to a possible association between tamoxifen initiation and behavioral symptoms. Manic symptoms were rapidly (approximately 24 h) improved following cessation of tamoxifen. Psychiatric evaluation on the fifth day following cessation of tamoxifen revealed no manic symptoms. An aromatase inhibitor-exemestane was initiated and she showed no side effects with this medication since then. DISCUSSION: To our knowledge, this is the first case report of probable tamoxifen-induced mania. Our case report at least indicates that there were possibly some patients who were sensitive to the tamoxifen's nervous system effects, mainly to manic effects. In conclusion, clinicians should be aware of these rare behavioral adverse effects of tamoxifen.

Live Donor Assessment Tool (LDAT): A Turkish validity and reliability study.

BACKGROUND/AIMS: Psychosocial and psychiatric evaluations are crucial components of the assessment of a live donor candidate. The Live Donor Assessment Tool (LDAT) was developed for this purpose. This study aims to evaluate the validity and reliability of the Turkish version of LDAT. MATERIALS AND METHODS: 132 live kidney or liver donor were referred to assess their psychosocial/psychiatric appropriateness for donation and were randomized for clinical evaluation as usual or with LDAT. The internal consistency of LDAT was measured by Chronbach's alpha coefficient. Inter-rater reliability was measured by using Spearman's correlation coefficient. The potential validity of LDAT was assessed by comparing LDAT scores to clinical decisions. The Mann-Whitney U test was used to compare LDAT scores across two clinically classified groups (acceptable/declined). Logistic regression was performed using LDAT scores to predict the clinical decision. RESULTS: The Turkish version of LDAT items demonstrate good internal consistency (α=0.773). Inter-rater reliability of LDAT demonstrated strong correlation (ICC=0.72). LDAT scores differentiated the accepted/declined groups, and strongly predicted the clinical decision. With a cut-off score of 60.5, LDAT was found to have high sensitivity and specificity. CONCLUSION: The Turkish version of LDAT was found to be a valid and reliable tool. LDAT could be an appropriate tool to assess live donor candidates.

Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.

OBJECTIVE: Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms that lead to distress and impairment in social and occupational functioning. SSD is phenomenologically diagnosed and its neurobiology remains unsolved. APPROACH: In this study, we performed hyper-parameter optimized classification to distinguish 19 persistent SSD patients and 21 healthy controls by utilizing functional near-infrared spectroscopy via performing two painful stimulation experiments, individual pain threshold (IND) and constant sub-threshold (SUB) that include conditions with different levels of pain (INDc and SUBc) and brush stimulation. We estimated a dynamic functional connectivity time series by using sliding window correlation method and extracted features from these time series for these conditions and different cortical regions. MAIN RESULTS: Our results showed that we found highest specificity (85%) with highest accuracy (82%) and 81% sensitivity using an SVM classifier by utilizing connections between right superior temporal-left angular gyri, right middle frontal (MFG)-left supramarginal gyri and right middle temporal-left middle frontal gyri from the INDc condition. SIGNIFICANCE: Our results suggest that fNIRS may distinguish subjects with SSD from healthy controls by applying pain in levels of individual pain-threshold and bilateral MFG, left inferior parietal and right temporal gyrus might be robust biomarkers to be considered for SSD neurobiology.

Cessation of Skin Picking Symptoms With Methylphenidate Treatment in a Child With Comorbid Skin Picking and Attention-Deficit/Hyperactivity Disorder.

Skin picking disorder includes behaviors such as picking, scratching, and squeezing of the normal skin in an impulsive, repetitive manner despite the fact that no dermatological condition is detected. Skin picking disorder may also be comorbid in children with attention-deficit/hyperactivity disorder (ADHD) and vice versa. There is a great deal of data regarding the efficacy and safety of methylphenidate (MPH) treatment of ADHD. In this article, we report the cessation of skin picking behaviors in a 10-year-old girl diagnosed as having skin picking disorder and ADHD after modified-release MPH treatment. To our knowledge, this is the first case report that shows the cessation of skin picking behavior after MPH treatment in a child with ADHD.

Preventing inflammation inhibits biopsy-mediated changes in tumor cell behavior.

Although biopsies and tumor resection are prognostically beneficial for glioblastomas (GBM), potential negative effects have also been suggested. Here, using retrospective study of patients and intravital imaging of mice, we identify some of these negative aspects, including stimulation of proliferation and migration of non-resected tumor cells, and provide a strategy to prevent these adverse effects. By repeated high-resolution intravital microscopy, we show that biopsy-like injury in GBM induces migration and proliferation of tumor cells through chemokine (C-C motif) ligand 2 (CCL-2)-dependent recruitment of macrophages. Blocking macrophage recruitment or administrating dexamethasone, a commonly used glucocorticoid to prevent brain edema in GBM patients, suppressed the observed inflammatory response and subsequent tumor growth upon biopsy both in mice and in multifocal GBM patients. Taken together, our study suggests that inhibiting CCL-2-dependent recruitment of macrophages may further increase the clinical benefits from surgical and biopsy procedures.

Hyperfocusing as a dimension of adult attention deficit hyperactivity disorder.

Patients with Attention Deficit Hyperactivity Disorder (ADHD) suffer not only from inability to focus but also from inability to shift attention for events that trigger their interests. This phenomenon is called "hyperfocusing". Previous literature about hyperfocusing is scarce and relies mainly on case reports. The study aimed to investigate and compare the severity of hyperfocusing in adult ADHD with and without psycho-stimulant use. ADHD (DSM-IV-TR) patients either psycho-stimulant naive (n=53) or on psycho-stimulants (n=79) from two ADHD clinics were recruited. The control group (n=65) consisted of healthy university students. A socio-demographic form, the Beck Depression Inventory, the Wender-Utah Rating Scale, the Adult ADHD Self- Report Scale and the Hyperfocusing Scale were applied to the participants. There was no difference between total Hyperfocusing Scale and Adult ADHD Self- Report Scale scores of two patient groups, but both have higher scores than controls (p<0.001). Hyperfocusing is higher in adult ADHD and there was no difference between stimulant-naive patients or patients on stimulants. Hyperfocusing can be defined as a separate dimension of adult ADHD.

Lamotrigine for attention deficit-hyperactivity disorder comorbid with mood disorders: a case series.

Attention deficit-hyperactivity disorder (ADHD) is frequently comorbid with mood disorders in both children and adults. Comorbidity is shown to have negative consequences and it needs to be treated effectively. Lamotrigine, an anticonvulsant indicated for the maintenance treatment of bipolar depression is reported to be effective in adult ADHD comorbid with bipolar II disorder. We conducted a retrospective chart review to identify patients with adult ADHD and comorbid mood disorders on lamotrigine, along with ADHD medications, and/or antidepressants and antipsychotics. We identified 40 patients (17 women, 42.5%; age range 16 - 55 yrs), 50% with bipolar II and 50% with recurrent depression. Their treatment response was evaluated by Clinical Global Impression scales. We found that 31 patients (77.5%) improved with lamotrigine, there was no change in 7 patients (17.5%) and 2 patients got worse, with a mean lamotrigine dose of 125.6 ± 47.8 mg (25 - 250 mg). To our knowledge, this is the first study to report that lamotrigine might be a safe and effective treatment option for adult ADHD comorbid with bipolar and recurrent depression.

Temperamental characteristics in adults with attention-deficit hyperactivity disorder: a comparison with bipolar disorder and healthy control groups.

OBJECTIVE: To date, the affective temperamental characteristics of adults with attention-deficit hyperactivity disorder (ADHD) have not been studied. The aim of this study is to explore those temperamental characteristics for adults diagnosed with ADHD as measured by the TEMPS-A and then to compare those results with results for individuals diagnosed with bipolar disorder (BD) and with healthy controls. METHODS: Forty adults with ADHD, 40 patients with BD, and 40 healthy controls were enrolled in this study. The groups were matched by age and gender. All patients were assessed using the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID I), the Hamilton Depression Rating Scale, the Hamilton Anxiety Rating Scale, the Young Mania Rating Scale and the Wender Utah Rating Scale. Subjects' temperamental characteristics were examined using the Turkish version of the Temperament Evaluation of Memphis, Pisa, Paris and San Diego-auto questionnaire (TEMPS-A). RESULTS: Ten subjects (25%) in the ADHD group and 15 subjects (30%) in the bipolar group had at least one dominant temperament. There was no identifiable dominant temperament in the control group. Compared to the control group, the ADHD group scored higher than other groups on all domains of the TEMPS-A: depressive cyclothymic, irritable and anxious. However, the hyperthymic domain was not higher for this group. Adults with ADHD scored higher on the irritable temperament scale as compared to the BD group. The ADHD and BD groups had similar mean scores for each of the other four temperaments. CONCLUSION: The adults diagnosed with ADHD in this study had different temperamental characteristics from the control group, and these temperamental characteristics were similar to those of the bipolar patients. Recognizing the role of temperamental characteristics in adults with ADHD may increase our understanding of ADHD.