DSM-5 Diagnosis Research Articles

Characteristics of Individuals Losing Autism Diagnosis: A Comparative Study With Typically Developing and Autism Spectrum Disorder Individuals.

This study aims to reveal the characteristics of individuals who have lost an autism spectrum disorder (ASD) diagnosis and to evaluate their current psychiatric diagnoses. Additionally, the study aims to compare individuals who have lost ASD with typically developing (TD) individuals and those with ASD in terms of current psychopathology, functionality and sociodemographic and clinical variables. The study included a total of 85 participants aged between 5 and 18, comprising 30 individuals who no longer meet the criteria for ASD (loss of autism diagnosis or LAD), 32 individuals with ASD and 23 TD individuals. While the sociodemographic data form and Childhood Autism Rating Scale (CARS) were completed by the clinician, the Autism Behavior Checklist (ABC) and Social Responsiveness Scale (SRS) were completed by the parents. It was found that the LAD group acquired speaking skills earlier, started special education sooner, received preschool education and physical exercise support for a longer duration and exhibited higher mental capacity and lower symptom severity compared to the ASD group. Moreover, 80% of the LAD group had at least one DSM-5 diagnosis. Scores on the ABC and SRS indicated a significant difference, with ASD > LAD > TD. Even if ASD regresses, individuals may still experience residual difficulties and remain at risk for other psychopathologies. Therefore, it is crucial to maintain monitoring and support processes.

Mental Health Service Referral and Treatment Following Screening and Assessment in Juvenile Detention.

Numerous recommendations have been made to address the high rates of mental health disorders among justice-involved youth. Few data are available on the use, quality, appropriateness, or availability of services to address these needs. This study examined the relationship between trauma-informed mental health screening, other referral pathways for diagnostic evaluation, subsequent DSM-5 diagnoses, and treatments for evaluated youth. Eligible participants were all youth admitted to New York City secure juvenile detention facilities from September 17, 2015 to October 30, 2016 who remained in the facility for at least five days (N = 786). Of those, 581 (73.9%) were voluntarily screened and 309 (53.2%) later received a diagnostic evaluation. Youth who screened positive for depression, posttraumatic stress disorder, and problematic substance use were more likely to be evaluated. Treatment received was related to diagnosis rather than reason for referral. For youth who were referred for behavioral or emotional concerns, 99.1 percent (114 of 115) of those diagnosed with a neurodevelopmental disorder had attention-deficit/hyperactivity disorder (ADHD). These data are among the first to describe DSM-5 diagnoses and treatment among youth detainees. They highlight the prevalence of ADHD in detained youth and argue for the coordination of universal trauma-informed mental health screening and a structured referral system for this population.

Through the eyes of the parents: a transdiagnostic psychiatric perspective for children with differences of sexual development.

Existing literature lacks data on a subgroup exhibiting psychiatric symptoms below the DSM-5 diagnostic threshold within DSD cases. Our study aims to assess parental knowledge, attitudes toward DSD, and parental perceptions of emotional and behavioral states through a transdiagnostic perspective. The study was conducted with a total of 35 parents of children with DSD. Two groups were established via k-means clustering, based on psychiatric symptomatology levels, derived from The Strength and Difficulties Questionnaire- Parent Form and The Revised Children's Anxiety and Depression Scale- Parent Form: with one group exhibiting lower reported psychiatric symptoms (LPS=27) and the other demonstrating higher psychiatric symptoms (HPS=8) by parents. Our study found that many parents were hesitant to disclose DSD diagnoses to their children, believing them to be too young to comprehend the information (42.9 %) and that they were unaware of the available support that could be provided by the medical team in disclosing the diagnosis (25.7 %). Our study found no differences in DSM-5 diagnoses between HPS and LPS groups (p>0.05), with ADHD being the most prevalent diagnosis (21.7 %) and a significant overrepresentation of children with a discrepancy between assigned gender at birth and gender upbringing in the HPS group compared to the LPS group (p<0.001). Our study emphasizes the necessity of a transdiagnostic approach in psychiatry to move beyond binary conceptualizations and better understand the complexities of individuals with DSD.

A Group Parenting Intervention for Male Postpartum Depression

Male postpartum depression is prevalent across populations; however, there is limited evidence on strategies to address it, particularly in low-income settings. To evaluate the effectiveness of Learning Through Play Plus Dads (LTP + Dads), a nonspecialist-delivered psychosocial intervention, in improving symptoms of male postpartum depression compared to treatment as usual. This cluster randomized clinical trial was conducted in Karachi, Pakistan, between June 2018 and November 2019. Assessors were blind to treatment allocation. Participants were recruited from 2 large towns in the city of Karachi via basic health units. Fathers aged 18 years and older with a DSM-5 diagnosis of major depressive episode and a child younger than 30 months were recruited. Of 1582 fathers approached, 1527 were screened and 357 were randomized in a 1:1 ratio to either the intervention or treatment as usual; 328 were included in the final analysis. Data were analyzed from April to June 2022. LTP + Dads is a manualized intervention combining parenting skills training, play therapy, and cognitive behavior therapy. The intervention was delivered by community health workers via 12 group sessions over 4 months. The primary outcome was change in 17-item Hamilton Depression Rating Scale score at 4 months. Secondary outcomes included anxiety symptoms; parenting stress; intimate partner violence; functioning; quality of life; and child social, emotional, and physical health outcomes. Assessments were completed at baseline and 4 and 6 months postrandomization. Of the 357 fathers included (mean [SD] age, 31.44 [7.24] years), 171 were randomized to the intervention and 186 to treatment as usual. Participants randomized to the intervention demonstrated significantly greater improvements in depression (group difference ratio [GDR], 0.66; 95% CI, 0.47 to 0.91; P < .001), anxiety (GDR, 0.62; 95% CI, 0.48 to 0.81; P < .001), parenting stress (GDR, -12.5; 95% CI, -19.1 to -6.0; P < .001), intimate partner violence (GDR, 0.89; 95% CI, 0.80 to 1.00; P = .05), disability (GDR, 0.77; 95% CI, 0.61 to 0.97; P = .03), and health-related quality of life (GDR, 12.7; 95% CI, 0.17 to 0.34; P < .001) at 4 months. The difference in depression and parenting stress was sustained at 6 months. Children of fathers randomized to the parenting intervention had significantly greater improvements in social-emotional development scores (mean difference, -20.8; 95% CI, -28.8 to -12.9; P < .001) at 6 months. The psychosocial parenting intervention in this study has the potential to improve paternal mental health and child development in Pakistan. Further studies in other populations and with longer follow-up are warranted. ClinicalTrials.gov Identifier: NCT03564847.

Multi-modal risk factors differentiate suicide attempters from ideators in military veterans with major depressive disorder

BackgroundThe suicide rate for United States military veterans is 1.5× higher than that of non-veterans. To meaningfully advance suicide prevention efforts, research is needed to delineate factors that differentiate veterans with suicide attempt/s, particularly in high-risk groups, e.g., major depressive disorder (MDD), from those with suicidal ideation (no history of attempt/s). The current study aimed to identify clinical, neurocognitive, and neuroimaging variables that differentiate suicide-severity groups in veterans with MDD. MethodsSixty-eight veterans with a DSM-5 diagnosis of MDD, including those with no ideation or suicide attempt (N = 21; MDD-SI/SA), ideation-only (N = 17; MDD + SI), and one-or-more suicide attempts (N = 30; MDD + SA; aborted, interrupted, actual attempts), participated in this study. Participants underwent a structured diagnostic interview, neurocognitive assessment, and 3 T-structural/diffusion tensor magnetic-resonance-imaging (MRI). Multinomial logistic regression models were conducted to identify variables that differentiated groups with respect to the severity of suicidal behavior. ResultsRelative to veterans with MDD-SI/SA, those with MDD + SA had significantly higher left cingulum fractional anisotropy, decreased attentional control on emotional-Stroop, and faster response time with intact accuracy on Go/No-Go. Relative to MDD + SI, MDD + SA had higher left cingulum fractional anisotropy and faster response time with intact accuracy on Go/No-Go. LimitationsFindings are based on retrospective, cross-sectional data and cannot identify causal relationships. Also, a healthy control group was not included given the study's focus on differentiating suicide profiles in MDD. ConclusionsThis study suggests that MRI and neurocognition differentiate veterans with MDD along the suicide-risk spectrum and could inform suicide-risk stratification and prevention efforts in veterans and other vulnerable populations.

B - 14 NEO Personality Inventory-Revised (NEO-PI-R) Domains Compared across BSNIP-2 Biotypes for Psychosis Spectrum Disorders

Abstract Objective The NEO Personality Inventory-Revised (NEO-PI-R) is commonly used to assess the Big Five personality traits: Neuroticism (N), Extroversion (E), Openness (O), Conscientiousness (C), and Agreeableness (A). This study compared NEO-PI-R personality factor composite scores across novel biological and neuropsychological characterizations of psychotic spectrum disorders (“biotypes”) derived by the Bipolar Schizophrenia Network for Intermediate Phenotypes (B-SNIP) consortium. Understanding personality patterns in more specific characterizations of psychotic spectrum disorders may shed light on behavioral patterns, including help-seeking in psychosis spectrum disorders. Methods Participants were 1086 individuals with a psychosis spectrum disorder grouped by biotype rather than DSM diagnosis who completed the NEO-PI-R. Results One-way ANOVAs were used to assess potential biotype group differences regarding NEO-PI-R traits. Post-hoc comparisons revealed that healthy controls endorsed more extroverted, agreeable, conscientious and less neurotic personality traits compared to the biotypes collectively. Traits of openness differentiated biotypes such that Biotype 3 endorsed more openness than Biotypes 1, 2 and Healthy Controls. Conclusions In addition to normal range cognitive abilities, less symptomatology, and fewer electrophysiological/imaging abnormalities, the present findings indicate that the Biotype 3 group endorsed more openness than the other patient groups. Like the Biotype 1 and 2 groups, internalizing symptomatology was present in the Biotype 3 group (less agreeableness, more neuroticism, less conscientiousness). Increased executive functioning, flexibility, problem-solving, and/or self-monitoring could be important factors contributing to the greater openness of the Biotype 3 group.

Identifying attention-deficit/hyperactivity disorder through the electroencephalogram complexity

There are reasons to suggest that a number of mental disorders may be related to alteration in the neural complexity (NC). Thus, quantitative analysis of NC could be helpful in classifying mental and understanding conditions. Here, focusing on a methodological procedure, we have worked with young individuals, typical and with attention-deficit/hyperactivity disorder (ADHD) whose NC was assessed using q-statistics applied to the electroencephalogram (EEG). The EEG was recorded while subjects performed the visual Attention Network Test (ANT) and during a short pretask period of resting state. Time intervals of the EEG amplitudes that passed a threshold were collected from task and pretask signals from each subject. The data were satisfactorily fitted with a stretched q-exponential including a power-law prefactor(characterized by the exponent c), thus determining the best (c,q) for each subject, indicative of their individual complexity. We found larger values of q and c in ADHD subjects as compared with the typical subjects both at task and pretask periods, the task values for both groups being larger than at rest. The c parameter was highly specific in relation to DSM diagnosis for inattention, where well-defined clusters were observed. The parameter values were organized in four well-defined clusters in (c,q)-space. As expected, the tasks apparently induced greater complexity in neural functional states with likely greater amount of internal information processing. The results suggest that complexity is higher in ADHD subjects than in typical pairs. The distribution of values in the (c,q)-space derived from q-statistics seems to be a promising biomarker for ADHD diagnosis.

Characterization of neural networks involved in transdiagnostic emotion dysregulation from a pilot randomized controlled trial of a neurostimulation-enhanced behavioral intervention

BackgroundEmotional dysregulation is a serious and impairing mental health problem. We examined functional activity and connectivity of neural networks involved in emotional dysregulation at baseline and following a pilot neurostimulation-enhanced cognitive restructuring intervention in a transdiagnostic clinical adult sample. MethodsNeuroimaging data were analyzed from adults who scored 89 or higher on the Difficulties with Emotion Regulation (DERS) scale and had at least one DSM-5 diagnosis. These participants were part of a pilot randomized, double-blind, placebo-controlled trial combining a single therapeutic session of cognitive restructuring with active or sham transcranial magnetic stimulation over the dorsolateral prefrontal cortex. During the study, participants engaged in an emotional regulation task using personalized autobiographical stressors while undergoing functional magnetic resonance imaging (fMRI) before and after the pilot intervention. The fMRI task required participants to either experience the emotions associated with the memories or apply cognitive restructuring strategies to reduce their distress. ResultsWhole-brain fMRI results during regulation at baseline revealed increased activation in the dorsal frontoparietal network but decreased activation in the supplementary motor area, cingulate cortex, insula, and ventrolateral prefrontal cortex (vlPFC). Emotion dysregulation was associated with greater vmPFC and amygdala activation and functional connectivity between these regions. The strength of functional connectivity between the dlPFC and other frontal regions was also a marker of emotional dysregulation. Preliminary findings from a subset of participants who completed the follow-up fMRI scan showed that active neurostimulation improved behavioral indices of emotion regulation more than sham stimulation. A whole-brain generalized psychophysiological interaction analysis indicated that active neurostimulation selectively increased occipital cortex connectivity with both the insula and the dlPFC. Region-of-interest functional connectivity analyses showed that active neurostimulation selectively increased dlPFC connectivity with the insula and orbitofrontal cortex (OFC). ConclusionInsufficient neural specificity during the emotion regulation process and over-involvement of frontal regions may be a marker of emotional dysregulation across disorders. OFC, vlPFC, insula activity, and connectivity are associated with improved emotion regulation in transdiagnostic adults. In this pilot study, active neurostimulation led to neural changes in the emotion regulation network after a single session; however, the intervention findings are preliminary, given the small sample size. These functional network properties can inform future neuroscience-driven interventions and larger-scale studies.

Positive psychological functioning, resilience and styles of coping as buffers against suicidal behaviours. A case-control study

BackgroundStudies in the literature mainly focus on understanding the risk factors for suicide, giving little relevance to protective variables. This study aimed at exploring the specific contribution of protective variables (resilience, coping and psychological well-being) in hospitalized suicide attempt (SA) makers. MethodsWe recruited 50 inpatients who made a SA before admission and 50 inpatients with no history of SA matched for DSM-5 diagnosis, gender and age. Protective variables were evaluated with: Brief COPE questionnaire, Dispositional Resilience Scale (DRS-15), Psychological Well-Being Scale (PWB-18). Psychopathological features and symptom severity were assessed with: Global Assessment of Functioning Scale (GAF), Rapid Dimensional Assessment Scale (SVARAD), Brief Psychiatric Rating Scale (BPRS), Clinical Global Impressions (CGI), Hamilton Depression Rating Scale (HDRS17). ResultsThe DRS-15 total score was significantly lower in SA makers. SA makers displayed significantly lower scores on the Engagement and Cognitive Restructuring subscales of the Brief COPE. On the PWB-18, the Self-Acceptance subscale score was lower in SA makers. LimitationsThe small sample size suggests the need for caution in interpreting the results. Matching was carried out by excluding diagnoses of personality disorders. ConclusionsPatients hospitalized following a SA are more often diagnosed with personality disorders, have deficit areas concerning resilience and coping, and lower psychological well-being compared to patients without a SA. When approaching a patient who has committed a SA, it may be useful to evaluate protective variables as well as risk factors, and encourage the development of adaptive coping mechanisms and positive self-evaluation through more dynamic therapeutic paths.

A translationally informed approach to vital signs for psychiatry: a preliminary proof of concept

The nature of data obtainable from the commercial smartphone – bolstered by a translational model emphasizing the impact of social and physical zeitgebers on circadian rhythms and mood – offers the possibility of scalable and objective vital signs for major depression. Our objective was to explore associations between passively sensed behavioral smartphone data and repeatedly measured depressive symptoms to suggest which features could eventually lead towards vital signs for depression. We collected continuous behavioral data and bi-weekly depressive symptoms (PHQ-8) from 131 psychiatric outpatients with a lifetime DSM-5 diagnosis of depression and/or anxiety over a 16-week period. Using linear mixed-effects models, we related depressive symptoms to concurrent passively sensed behavioral summary features (mean and variability of sleep, activity, and social engagement metrics), considering both between- and within-person associations. Individuals with more variable wake-up times across the study reported higher depressive symptoms relative to individuals with less variable wake-up times (B [95% CI] = 1.53 [0.13, 2.93]). On a given week, having a lower step count (−0.16 [−0.32, −0.01]), slower walking rate (−1.46 [−2.60, −0.32]), lower normalized location entropy (−3.01 [−5.51, −0.52]), more time at home (0.05 [0.00, 0.10]), and lower distances traveled (−0.97 [−1.72, −0.22]), relative to one’s own typical levels, were each associated with higher depressive symptoms. With replication in larger samples and a clear understanding of how these components are best combined, a behavioral composite measure of depression could potentially offer the kinds of vital signs for psychiatric medicine that have proven invaluable to assessment and decision-making in physical medicine. Clinical Trials Registration: The data that form the basis of this report were collected as part of clinical trial number NCT03152864.

Predictors of psychosocial impairment in a transdiagnostic sample: Unique effects of repetitive negative thinking

BackgroundRepetitive negative thinking (RNT) is a transdiagnostic process involving perseverative, unproductive, and uncontrollable thoughts. Although RNT may impede adaptive psychosocial functioning by prolonging negative mood states, strengthening cognitive biases, and preventing effective problem-solving, the extent to which RNT is associated with risk for poor psychosocial outcomes is unclear. Given that this has clear transdiagnostic treatment implications, the present study aimed to isolate the unique relationship of RNT with social functioning and life satisfaction in a mixed clinical and non-clinical sample. MethodsIn 201 mid-to-later life adult participants (27 with primary diagnoses of bipolar disorder, 84 with major depressive disorder, and 90 healthy volunteers), we measured RNT, social functioning, life satisfaction, trait rumination, DSM-5 diagnoses, depressive symptoms, manic symptoms, cognitive control performance, and global cognitive functioning. ResultsLinear regression models revealed that RNT, but not rumination, was significantly associated with poorer social functioning (β = 0.42 p < .001) and reduced life satisfaction (β = −0.42, p < .001) after controlling for clinical and cognitive covariates. LimitationsLimited demographic diversity, cross-sectional design, self-reporting of outcomes. ConclusionsResults suggest that RNT may confer risk for key psychosocial outcomes during middle to later adulthood, over and above the effects of clinical and cognitive variables and independent of diagnostic status. Findings lend support to the notion of RNT as a transdiagnostic process and suggest that RNT may be an important therapeutic target for adults with poor social functioning and/or reduced life satisfaction.

Placebo-related improvement with methylphenidate treatment in children with ADHD.

Non-specific effects of methylphenidate treatment, including expectancy and regression to the mean effects, contribute to the overall effect of methylphenidate on attention-deficit/hyperactivity disorder (ADHD) symptoms. Knowledge on the extent to which non-specific effects contribute to the overall effect and whether regression to the mean explains part of the non-specific effects, is currently lacking. A double-blind, randomized, placebo-controlled, cross-over trial was used to compare parent and teacher ratings of child ADHD symptoms at baseline and during treatment with placebo and 5, 10, 15 and 20mg of methylphenidate, twice daily. Participants were 5-13-year-old children with a DSM-5 diagnosis of ADHD (N = 45). The extent to which non-specific effects contributed to the effects of methylphenidate was determined by ADHD symptom reductions observed with placebo versus reductions observed with active doses of methylphenidate. The influence of regression to the mean was examined by estimating the contribution of baseline ADHD symptom severity to the effects observed with placebo treatment. Data were analyzed using multilevel analyses. We observed significant non-specific effects of methylphenidate for parent-rated ADHD symptoms, but not for teacher-rated symptoms. For parent reported hyperactive/impulsive symptoms, higher baseline symptoms predicted larger effects with placebo, indicating regression to the mean effects. For parent-reports, a significant part of the overall effect of methylphenidate treatment is explained by non-specific effects. Our findings stress the importance of taking non-specific effects into account when evaluating methylphenidate treatment, by including teacher-reports and using a double baseline assessment during titration. Comparing active medication with a placebo in the titration trial has the potential to identify non-specific effects.

Neuropsychological features of somatic symptom disorder and depression/anxiety in Taiwan: An analysis based on the comorbidity status

Individuals with somatic symptom disorder (SSD) often have comorbid depression or anxiety, but whether SSD is associated with specific neuropsychological functions has yet to be fully examined. We analyzed which neuropsychological features are more closely associated with SSD, anxiety, and depression. In this case-control study, we recruited 140 individuals with SSD, 104 individuals with affective disorders without SSD, and 159 healthy controls in Taiwan. We collected DSM-5 diagnoses, questionnaire scores, and performance on eight tasks from the Cambridge Neuropsychological Test Automated Battery (CANTAB) for each participant. Several CANTAB tasks involving attention, executive function, and social cognition showed significant group differences. In the adjusted analysis, the tasks significantly associated with SSD were the Match to Sample Visual Search (MTS) and the Emotion Recognition Task (ERT). Among the questionnaires, the Cognitions about Body and Health Questionnaire showed the most significant associations with the tasks, specifically with Rapid Visual Information Processing, MTS, Paired Associates Learning, Spatial Working Memory, Intra-Extra Dimensional Set Shift, and ERT. We conclude that the MTS and ERT tasks show significant relationships with both SSD diagnosis and related questionnaires. These tasks primarily involve selective attention and negative emotion regulation.

A tradeoff between safety and freedom: Adults’ lived experiences of ARFID

BackgroundAvoidant restrictive food intake disorder (ARFID) is characterized as a pattern of restrictive eating leading to significant medical and/or psychosocial impairment (American Psychiatric Association in Diagnostic and statistical manual of mental disorders, American Psychiatric Association, Washington, D.C., 2013). Most existing research on ARFID utilizes quantitative methodologies to study children and adolescents. As a result, the experiences of adults with ARFID have been underrepresented in research. To fill this gap, the current study examines the lived experiences of adults with a DSM-5 diagnosis of ARFID.MethodParticipants (n = 9) included adult women aged 20–42 (M = 27, SD = 6.2) recruited from social media advertising. Open-ended, semi-structured interviews were conducted. Data were analyzed using interpretative phenomenological analysis (IPA).ResultsOne of three overarching themes identified by IPA will be discussed in this study: “A tradeoff between safety and freedom,” which consists of two subthemes: (a) Ensuring safety from food unknowns and (c) Longing for Freedom. This overarching theme explores the influence of ARFID on an individual’s sense of safety and freedom.DiscussionThis study is one of few to qualitatively examine ARFID, and the only to do so using IPA. Findings offer novel insights relevant to researchers and clinicians who treat adults with ARFID and who wish to increase consideration and understanding of patient lived experience in their work.

A Transdiagnostic, Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI).

Psychopathology, including depression, anxiety, and post-traumatic stress, is a significant yet inadequately addressed feature of moderate-severe traumatic brain injury (TBI). Progress in understanding and treating post-TBI psychopathology may be hindered by limitations associated with conventional diagnostic approaches, specifically the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). The Hierarchical Taxonomy of Psychopathology (HiTOP) offers a promising, transdiagnostic alternative to psychiatric classification that may more effectively capture the experiences of individuals with TBI. However, HiTOP lacks validation in the TBI population. To address this gap, we administered a comprehensive questionnaire battery, including 56 scales assessing homogeneous symptom components and maladaptive traits within HiTOP, to 410 individuals with moderate-severe TBI. We evaluated the reliability and unidimensionality of each scale and revised those with psychometric problems. Using a top-down, exploratory latent variable approach (bass-ackwards modeling), we subsequently constructed a hierarchical model of psychopathological dimensions tailored to TBI. The results showed that, relative to norms, participants with moderate-severe TBI experienced greater problems in the established HiTOP internalizing and detachment spectra, but fewer problems with thought disorder and antagonism. Fourteen of the 56 scales demonstrated psychometric problems, which often appeared reflective of the TBI experience and associated disability. The Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI) model encompassed broad internalizing and externalizing spectra, splitting into seven narrower dimensions: Detachment, Dysregulated Negative Emotionality, Somatic Symptoms, Compensatory and Phobic Reactions, Self-Harm and Psychoticism, Rigid Constraint, and Harmful Substance Use. This study presents the most comprehensive empirical classification of psychopathology after TBI to date. It introduces a novel, TBI-specific transdiagnostic questionnaire battery and model, which addresses the limitations of conventional DSM and ICD diagnoses. The empirical structure of psychopathology after TBI largely aligned with the established HiTOP model (e.g., a detachment spectrum). However, these constructs need to be interpreted in relation to the unique experiences associated with TBI (e.g., considering the injury's impact on the person's social functioning). By overcoming the limitations of conventional diagnostic approaches, the HiTOP-TBI model has the potential to accelerate our understanding of the causes, correlates, consequences, and treatment of psychopathology after TBI.

Selective Serotonin Reuptake Inhibitor and Serotonin-Noradrenaline Reuptake Inhibitor Withdrawal Changes DSM Presentation of Mental Disorders: Results from the Diagnostic Clinical Interview for Drug Withdrawal

Introduction: Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) may cause withdrawal at dose decrease, discontinuation, or switch. Current diagnostic methods (e.g., DSM) do not take such phenomenon into account. Using a new nosographic classification of withdrawal syndromes due to SSRI/SNRI decrease or discontinuation [by Psychother Psychosom. 2015;84(2):63–71], we explored whether DSM is adequate to identify DSM disorders when withdrawal occurs. Methods: Seventy-five self-referred patients with a diagnosis of withdrawal syndrome due to discontinuation of SSRI/SNRI, diagnosed via the Diagnostic Clinical Interview for Drug Withdrawal 1 – New Symptoms of Selective Serotonin Reuptake Inhibitors or Serotonin-Norepinephrine Reuptake Inhibitors (DID-W1), and at least one DSM-5 diagnosis were analyzed. Results: In 58 cases (77.3%), the DSM-5 diagnosis of current mental disorder was not confirmed when the DID-W1 diagnosis of current withdrawal syndrome was established. In 13 cases (17.3%), the DSM-5 diagnosis of past mental disorder was not confirmed when criteria for DID-W1 diagnosis of lifetime withdrawal syndrome were met. In 3 patients (4%), the DSM-5 diagnoses of current and past mental disorders were not confirmed when the DID-W1 diagnoses of current and lifetime withdrawal syndromes were taken into account. The DSM-5 diagnoses most frequently mis-formulated were current panic disorder (50.7%, n = 38) and past major depressive episode (18.7%, n = 14). Conclusion: DSM needs to be complemented by clinimetric tools, such as the DID-W1, to detect withdrawal syndromes induced by SSRI/SNRI discontinuation, decrease, or switch, following long-term use.

The effect of high-definition transcranial direct current stimulation on pain in somatic symptom disorder with predominant pain: A randomized single-blind sham-controlled crossover study

Somatic symptom disorder with predominant pain (SSD-P) is a commonly encountered disorder, yet treatment options often yield unsatisfactory outcomes. Transcranial direct current stimulation (tDCS) has proven useful in chronic pain conditions and may hold potential for treating somatoform pain. High-definition tDCS (HD-tDCS) offers more precise cortical stimulation than conventional tDCS. However, this modality has not been extensively studied in SSD-P. Consequently, this study aims to assess the effects of a novel HD-tDCS protocol on pain and other associated variables in patients with SSD-P. The Institute Ethics Committee approved the study, which was also registered in the Clinical Trials Registry of India. A single-blind, sham-controlled, crossover study design was employed. Thirty right-handed patients with DSM-5 diagnosis of SSD-P, aged 18 &amp;ndash; 60 years and receiving stable treatment, were enrolled through consecutive sampling. After simple randomization, two repeated, short-interval sessions (2 mA, 20 min each) of either active or sham HD-tDCS were administered, followed by a washout period of 7 days and a subsequent crossover. Assessments were conducted at baseline, week 1, and week 2. Participants in active and sham arms were comparable on all baseline parameters. At the end of the 1st week, patients in the active group showed significant improvement in the study variables compared to the sham group. By week 2, all participants, irrespective of being in the active or sham arm, demonstrated a statistically significant difference (Cohen&amp;rsquo;s d &gt; 0.8) in pain and associated parameters such as depression, anxiety, pain-related interference, burden, and disability (P &lt; 0.01). Transient mild local side effects such as burning, pain, and itching were noted, with no cognitive side effects reported. In conclusion, this novel HD-tDCS protocol is effective in reducing pain in patients with SSD-P, with sustained effects up to 1 week.

Prevalence and Rapid Screen Method of Diagnostic Criteria for Psychosomatic Research Syndromes in Human Papillomavirus-Infected Patients

Introduction: The early and rapid identification of psychosomatic symptoms is crucial to prevent harmful outcomes in patients with human papillomavirus (HPV) infection in busy comprehensive clinics. This study aimed to explore the prevalence and rapid screening method of the Diagnostic Criteria for Psychosomatic Research-revised (DCPR) syndromes in patients with HPV infection. Methods: A total of 504 participants underwent a clinical assessment that included DCPR, Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5), the Social Support Rating Scale (SSRS), the Simplified Coping Style Questionnaire (SCSQ), fear of disease, sociodemographic and clinical characteristics. The prevalence of DCPR syndromes and DSM-5 diagnoses were compared between the HPV-positive and negative patients using χ2 tests. We explored the rapid screen indicator through multiple logistic regression analyses of the participants’ psychosocial factors, sociodemographic and clinical characteristics. Results: The incidence of DCPR syndromes in HPV-positive patients (56.6%) was significantly greater than that in HPV-negative patients (17.3%) and DSM-5 diagnoses (8.5%) in the HPV-positive group. Health anxiety, irritable mood, type A behavior, and demoralization were the most common psychosomatic syndromes in HPV-positive patients. As the degree of fear increased from 0 to 5 to 10, the risk of DCPR increased from 1.27 (95% CI: 0.21–7.63) to 3.24 (score range: 1–5, 95% CI: 1.01–10.39) to 9.91 (score range: 6–10, 95% CI: 3.21–30.62) in the HPV-positive group. Conclusion: The degree of fear, as an independent risk factor, could be used to quickly screen outpatients with a high risk of DCPR syndrome among women with HPV infection.

Metacognition as a transdiagnostic factor across eating disorders: a latent profile analysis study.

Metacognition is a crucial aspect of understanding and attributing mental states, playing a key role in the psychopathology of eating disorders (EDs). This study aims to explore the diverse clinical profiles of metacognition among patients with EDs using latent profile analysis (LPA). A total of 395 patients with a DSM-5 diagnosis of ED (116 AN-R, 30 AN/BP, 100 BN, 149 BED) participated in this study. They completed self-report measures assessing metacognition, eating psychopathology, depression, emotional dysregulation, personality traits, and childhood adversities. LPA and Welch ANOVAs were conducted to identify profiles based on metacognition scores and examine psychological differences between them. Logistic regression models were employed to explore associations between personal characteristics and different profiles. A 3-class solution had a good fit to the data, revealing profiles of high functioning (HF), intermediate functioning (IF), and low functioning (LF) based on levels of metacognitive impairments. Participants in the IF group were older and had a higher BMI than those in the HF and LF groups. Individuals with BN were largely categorized into HF and LF profiles, whereas participants with BED were mainly included in the IF profile. Participants in the LF group reported an impaired psychological profile, with high levels of depression, emotional dysregulation, childhood adversity, and personality dysfunction. Multinomial logistic regression analyses showed significant associations between metacognitive profiles and emotional and neglect abuse, emotion dysregulation, and detachment. This exploratory study unveils distinct metacognitive profiles in EDs, providing a foundation for future research and targeted interventions. In this light, metacognitive interpersonal therapy could be a valid and effective treatment for EDs, as suggested by the initial promising results for these patients.

A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities.

This study addresses the challenge of differentiating between bipolar disorder II (BD II) and borderline personality disorder (BPD), which is complicated by overlapping symptoms. To overcome this, a multimodal machine learning approach was employed, incorporating both electroencephalography (EEG) patterns and cognitive abnormalities for enhanced classification. Data were collected from 45 participants, including 20 with BD II and 25 with BPD. Analysis involved utilizing EEG signals and cognitive tests, specifically the Wisconsin Card Sorting Test and Integrated Cognitive Assessment. The k-nearest neighbors (KNN) algorithm achieved a balanced accuracy of 93%, with EEG features proving to be crucial, while cognitive features had a lesser impact. Despite the strengths, such as diverse model usage, it's important to note limitations, including a small sample size and reliance on DSM diagnoses. The study suggests that future research should explore multimodal data integration and employ advanced techniques to improve classification accuracy and gain a better understanding of the neurobiological distinctions between BD II and BPD.