Development and Initial Evaluation of a Digital Phenotype Collection System for Adolescents: Proof-of-Concept Study.

BACKGROUND: The growing concern on adolescent mental health calls for proactive early detection and intervention strategies. There is a recognition of the link between digital phenotypes and mental health, drawing attention to their potential use. However, the process of collecting digital phenotype data presents challenges despite its promising prospects. OBJECTIVE: This study aims to develop and validate system concepts for collecting adolescent digital phenotypes that effectively manage inherent challenges in the process. METHODS: In a formative investigation (N=34), we observed adolescent self-recording behaviors and conducted interviews to develop design goals. These goals were then translated into system concepts, which included planners resembling interfaces, simplified data input with tags, visual reports on behaviors and moods, and supportive ecological momentary assessment (EMA) prompts. A proof-of-concept study was conducted over 2 weeks (n=16), using tools that simulated the concepts to record daily activities and complete EMA surveys. The effectiveness of the system was evaluated through semistructured interviews, supplemented by an analysis of the frequency of records and responses. RESULTS: The interview findings revealed overall satisfaction with the system concepts, emphasizing strong support for self-recording. Participants consistently maintained daily records throughout the study period, with no missing data. They particularly valued the recording procedures that aligned well with their self-recording goal of time management, facilitated by the interface design and simplified recording procedures. Visualizations during recording and subsequent report viewing further enhanced engagement by identifying missing data and encouraging deeper self-reflection. The average EMA compliance reached 72%, attributed to a design that faithfully reflected adolescents' lives, with surveys scheduled at convenient times and supportive messages tailored to their daily routines. The high compliance rates observed and positive feedback from participants underscore the potential of our approach in addressing the challenges of collecting digital phenotypes among adolescents. CONCLUSIONS: Integrating observations of adolescents' recording behavior into the design process proved to be beneficial for developing an effective and highly compliant digital phenotype collection system.

Validation of the efficacy of a personalized information-provision and exercise-coaching app on the quality of life of menopausal women.

OBJECTIVES: Menopausal symptoms severely impact women's quality of life (QoL). Digital health interventions provide an accessible, personalized alternative for managing menopausal symptoms. In this study, we validated the Menopause Assistant Manager (MAMA®; Hudit, Seoul, S. Korea) app developed to provide personalized information, exercise coaching, and management of appointments and medications to menopausal women, and evaluated its efficacy on their QoL. STUDY DESIGN: This nonrandomized interventional trial enrolled 48 peri- and postmenopausal women into experimental (MAMA) and control (Waitlist) groups (n = 24 each). Participants in the MAMA group used the app for 8 weeks, whereas the Waitlist group received no intervention. Both groups continued their usual treatments. MAIN OUTCOME MEASURES: Clinical assessments at baseline and study completion included the World Health Organization Quality of Life Brief Version (WHOQOL-BREF), Menopause Rating Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-15 (PHQ-15), Menopause Emotional Symptom Questionnaire, and Subjective Memory Complaints Questionnaire. RESULTS: Compared with the Waitlist group, the MAMA group showed postintervention improvements in WHOQOL-BREF physical health (F = 4.84, P = .03) and environmental (F = 5.01, P = .03) domains and GAD-7 (F = 5.53, P = .02) and PHQ-15 (F = 4.14, P = .048) scores. Changes in WHOQOL-BREF physical health scores negatively correlated with PHQ-15 scores (ρ = -0.53, P = .004). CONCLUSION: By increasing treatment accessibility, the app improved physical and environmental QoL and reduced anxiety and somatic symptoms. App-based exercise coaching alleviated somatic symptoms, and the in-app psychological content reduced anxiety by normalizing menopausal symptoms, providing accurate information, decreasing uncertainty, and improving symptom perception. TRIAL REGISTRATION: Clinical Research Information Service KCT 0008603; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=25078&status=5&seq_group=25078&search_page=M.

The association between ventricle ratio in preterm infants and motor developmental delay.

Introduction Early prediction and timely intervention are particularly essential for high-risk preterm infants. Brain magnetic resonance imaging (BMRI) is frequently used alongside functional evaluations to improve predictions of developmental outcomes. This study aimed to assess voxel-based brain volumetry in extremely preterm infants using BMRI at term equivalent age (TEA) and investigate its association with developmental outcomes. Methods From March 2016 to December 2019, high-risk preterm infants (birth weight < 1500g or gestational age < 32 weeks) with BMRI at TEA and follow-up developmental data assessed by Bayley-III were included. For BMRI volumetry, manual tracing and segmentation were performed on T1-weighted scans, and after smoothing, voxels were calculated for each brain segment. Forty-seven subjects were enrolled and categorized into typical/delayed motor groups Results Results revealed a significant difference in ventricle size and ventricle ratio in BMRI at TEA between the groups. Even after controlling for other factors that could influence developmental outcomes, ventricle ratio emerged as a robust, single predictor for future motor development. Conclusion This study suggests the potential clinical utility of BMRI volumetry in predicting motor development outcomes.

A latent profile analysis on adolescents' Non-Suicidal Self-Injury related to intrapersonal and interpersonal factors.

Non-suicidal self-injury (NSSI) among adolescents continues to be a significant public health concern worldwide. A recent systematic review and meta-analysis found that the global prevalence of NSSI in adolescents aged 12-18 years was 17.2%, with higher rates reported among females (19.7%) than males (14.8%). This behavior has been linked to several negative outcomes, such as depression, anxiety, substance abuse, and suicidal ideation. The present study aimed to classify adolescents based on intrapersonal and interpersonal factors associated with NSSI proposed in Nock's (2009) integrated model of NSSI, to identify distinct clusters targeting specific risk factors. This encompassed negative cognition, emotional vulnerability, poor coping skill, peer-victimization, family adaptability, and perceived stress. A total of 881 adolescents aged 11-16 years in South Korea completed self-reported questionnaires on automatic thoughts, depression, emotional regulation, peer victimization, family adaptability and perceived stress. Latent profile analysis (LPA) revealed three distinct classes: "the severe group", "the moderate group", "the mild group". Class 3 ("severe group": N = 127) exhibited greater severity related to NSSI, including negative cognition, emotional vulnerability, poor coping skills, peer victimization, and perceived stress, with weaker levels of factors that can prevent NSSI compared to class 1 ("mild group": N = 416) and class 2 ("moderated group": N = 338). The present study emphasizes the importance of considering both intrapersonal (e.g., negative automatic thoughts & emotional dysregulation) and interpersonal factors (i.e., peer victimization) when understanding NSSI - among adolescents. These findings can be utilized to develop interventions aimed at reducing the prevalence and severity of NSSI among adolescents.

Efficacy of cognitive behavioral therapy for menopausal symptoms and quality of life in Korean perimenopausal women: A pilot randomized controlled trial.

OBJECTIVES: Therapeutic interventions are crucial for perimenopausal women, given the challenging physical and psychological symptoms they face. This study focused on the development and verification of the efficacy of a cognitive behavioral therapy (CBT) protocol designed specifically for Korean perimenopausal women. STUDY DESIGN: A CBT protocol for perimenopausal women was newly developed based on theory and evidence. Forty menopausal women were randomly assigned to either the CBT group (n = 19) or treatment-as-usual (TAU) group (n = 21). Participants in the CBT group underwent 60-min weekly sessions for eight weeks. The TAU group received standard care from gynecologists. MAIN OUTCOME MEASURES: At baseline and follow-up, participants completed the Menopausal Rating Scale (MRS), World Health Organization Quality of Life Brief Version (WHOQOL-BREF), Patient Health Questionnaire-9, Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-15 (PHQ-15), Menopause Emotional Symptom Questionnaire (MESQ), and Subjective Memory Complaints Questionnaire. RESULTS: The CBT group showed significant changes in their MRS (F = 4.18, p = .048), WHOQOL-BREF (7.60, 0.009), GAD-7 (4.61, 0.038), PHQ-15 (5.49, 0.025), and MESQ scores (7.19, 0.011) compared to the TAU group. In the CBT group, changes in GAD-7 scores were correlated with PHQ-15 (ρ = 0.57, p < .05), MESQ (0.57, < 0.05), and WHOQOL-BREF scores (-0.53, < 0.05). CONCLUSION: CBT prevents the worsening of menopausal and emotional symptoms, anxiety, and quality of life. CBT may have had a therapeutic effect through the following mechanisms: managing anxiety by changing perceptions of menopause through education and training for coping with various menopausal symptoms and improving self-efficacy in symptom management. CLINICAL TRIAL REGISTRATION NUMBER: KCT0007517.

Correlations between developmental trajectories of brain functional connectivity, neurocognitive functions, and clinical symptoms in patients with attention-deficit hyperactivity disorder.

Several studies on attention-deficit hyperactivity disorder (ADHD) have suggested a developmental sequence of brain changes: subcortico-subcortical connectivity in children, evolving to subcortico-cortical in adolescence, and culminating in cortico-cortical connectivity in young adulthood. This study hypothesized that children with ADHD would exhibit decreased functional connectivity (FC) between the cortex and striatum compared to adults with ADHD, who may show increased FC in these regions. Seventy-six patients with ADHD (26 children, 26 adolescents, and 24 adults) and 74 healthy controls (25 children, 24 adolescents, and 25 adults) participated in the study. Resting state magnetic resonance images were acquired using a 3.0 T Philips Achieva scanner. The results indicated a gradual decrease in the number of subcategories representing intelligence quotient deficits in the ADHD group with age. In adulthood, the ADHD group exhibited lower working memory compared to the healthy control group. The number of regions showing decreased FC from the cortex to striatum between the ADHD and control groups reduced with age, while regions with increased FC from the default mode network and attention network in the ADHD group increased with age. In adolescents and adults, working memory was positively associated with brain activity in the postcentral gyrus and negatively correlated with ADHD clinical symptoms. In conclusion, the findings suggest that intelligence deficits in certain IQ subcategories may diminish as individuals with ADHD age. Additionally, the study indicates an increasing anticorrelation between cortical and subcortical regions with age in individuals with ADHD.

Comparing the effectiveness of game literacy education and game coding education in improving problematic internet gaming.

Objective: Problematic internet gaming by adolescents has been thought to be associated with low self-esteem, depression, anxiety, and attention problems. We hypothesized that both game literacy and coding education would effectively improve problematic internet use. However, game coding education would be more effective in enhancing self-esteem and social anxiety in adolescents than game literacy education. Methods: A total of 733 adolescent volunteers were included and randomly assigned to either the game coding education or game literacy education programs. Both programs consisted of eight sessions, each lasting 45 minutes, over four weeks. The coding education sessions included game planning and development lessons and allowed students to create the game's characters, stages, and tutorials directly using Scratch, a free coding program. Game literacy education sessions included lessons on enjoying gaming with a healthy rationale and etiquette. Data on demographics, gaming patterns, and psychological status, including positive/negative perceptions of online games, depression, social anxiety, and self-esteem, were collected. Results: Both game coding and game literacy education significantly improved YIAS scores compared to baseline, and there was no significant difference in the YIAS scores between the two groups after the interventions. In the hierarchical logistic regression analysis of all participants, higher YIAS scores, stronger negative perceptions of gaming, and lower attention problem scores at baseline predicted lower levels of internet gaming addiction after interventions. In the hierarchical logistic regression analysis among individuals with game coding education, higher YIAS scores, stronger negative perceptions of gaming, lower attention problem scores, and higher self-esteem scores at baseline predicted lower levels of internet gaming addiction after intervention. In addition, game coding education greatly improved negative perceptions of games, self-esteem, and social anxiety compared to game literacy education. Conclusion: Both game literacy and game coding education effectively mitigate internet game addiction. However, game coding education effectively mitigated problematic internet gaming by improving negative perceptions of games, self-esteem, and social anxiety in adolescents. We found that the application of knowledge by students in creating their own games was more effective than simply developing a conceptual understanding of the games.

Exploring a multimodal approach for utilizing digital biomarkers for childhood mental health screening.

Background: Depression and anxiety are prevalent mental health concerns among children and adolescents. The application of conventional assessment methods, such as survey questionnaires to children, may lead to self-reporting issues. Digital biomarkers provide extensive data, reducing bias in mental health self-reporting, and significantly influence patient screening. Our primary objectives were to accurately assess children's mental health and to investigate the feasibility of using various digital biomarkers. Methods: This study included a total of 54 boys and girls aged between 7 to 11 years. Each participant's mental state was assessed using the Depression, Anxiety, and Stress Scale. Subsequently, the subjects participated in digital biomarker collection tasks. Heart rate variability (HRV) data were collected using a camera sensor. Eye-tracking data were collected through tasks displaying emotion-face stimuli. Voice data were obtained by recording the participants' voices while they engaged in free speech and description tasks. Results: Depressive symptoms were positively correlated with low frequency (LF, 0.04-0.15 Hz of HRV) in HRV and negatively associated with eye-tracking variables. Anxiety symptoms had a negative correlation with high frequency (HF, 0.15-0.40 Hz of HRV) in HRV and a positive association with LF/HF. Regarding stress, eye-tracking variables indicated a positive correlation, while pNN50, which represents the proportion of NN50 (the number of pairs of successive R-R intervals differing by more than 50 milliseconds) divided by the total number of NN (R-R) intervals, exhibited a negative association. Variables identified for childhood depression included LF and the total time spent looking at a sad face. Those variables recognized for anxiety were LF/HF, heart rate (HR), and pNN50. For childhood stress, HF, LF, and Jitter showed different correlation patterns between the two grade groups. Discussion: We examined the potential of multimodal biomarkers in children, identifying features linked to childhood depression, particularly LF and the Sad.TF:time. Anxiety was most effectively explained by HRV features. To explore reasons for non-replication of previous studies, we categorized participants by elementary school grades into lower grades (1st, 2nd, 3rd) and upper grades (4th, 5th, 6th). Conclusion: This study confirmed the potential use of multimodal digital biomarkers for children's mental health screening, serving as foundational research.

The Effectiveness of a Digital App for Reduction of Clinical Symptoms in Individuals With Panic Disorder: Randomized Controlled Trial.

BACKGROUND: Panic disorder is a common and important disease in clinical practice that decreases individual productivity and increases health care use. Treatments comprise medication and cognitive behavioral therapy. However, adverse medication effects and poor treatment compliance mean new therapeutic models are needed. OBJECTIVE: We hypothesized that digital therapy for panic disorder may improve panic disorder symptoms and that treatment response would be associated with brain activity changes assessed with functional near-infrared spectroscopy (fNIRS). METHODS: Individuals (n=50) with a history of panic attacks were recruited. Symptoms were assessed before and after the use of an app for panic disorder, which in this study was a smartphone-based app for treating the clinical symptoms of panic disorder, panic symptoms, depressive symptoms, and anxiety. The hemodynamics in the frontal cortex during the resting state were measured via fNIRS. The app had 4 parts: diary, education, quest, and serious games. The study trial was approved by the institutional review board of Chung-Ang University Hospital (1041078-202112-HR-349-01) and written informed consent was obtained from all participants. RESULTS: The number of participants with improved panic symptoms in the app use group (20/25, 80%) was greater than that in the control group (6/21, 29%; χ21=12.3; P=.005). During treatment, the improvement in the Panic Disorder Severity Scale (PDSS) score in the app use group was greater than that in the control group (F1,44=7.03; P=.01). In the app use group, the total PDSS score declined by 42.5% (mean score 14.3, SD 6.5 at baseline and mean score 7.2, SD 3.6 after the intervention), whereas the PDSS score declined by 14.6% in the control group (mean score 12.4, SD 5.2 at baseline and mean score 9.8, SD 7.9 after the intervention). There were no significant differences in accumulated oxygenated hemoglobin (accHbO2) at baseline between the app use and control groups. During treatment, the reduction in accHbO2 in the right ventrolateral prefrontal cortex (VLPFC; F1,44=8.22; P=.006) and the right orbitofrontal cortex (OFC; F1,44=8.88; P=.005) was greater in the app use than the control group. CONCLUSIONS: Apps for panic disorder should effectively reduce symptoms and VLPFC and OFC brain activity in patients with panic disorder. The improvement of panic disorder symptoms was positively correlated with decreased VLPFC and OFC brain activity in the resting state. TRIAL REGISTRATION: Clinical Research Information Service KCT0007280; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=21448.

Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study.

Introduction: Attention-deficit/hyperactivity disorder (ADHD) affects a significant proportion of the pediatric population, making early detection crucial for effective intervention. Eye movements are controlled by brain regions associated with neuropsychological functions, such as selective attention, response inhibition, and working memory, and their deficits are related to the core characteristics of ADHD. Herein, we aimed to develop a screening model for ADHD using machine learning (ML) and eye-tracking features from tasks that reflect neuropsychological deficits in ADHD. Methods: Fifty-six children (mean age 8.38 ± 1.58, 45 males) diagnosed with ADHD based on the Diagnostic and Statistical Manual of Mental Disorders, fifth edition were recruited along with seventy-nine typically developing children (TDC) (mean age 8.80 ± 1.82, 33 males). Eye-tracking data were collected using a digital device during the performance of five behavioral tasks measuring selective attention, working memory, and response inhibition (pro-saccade task, anti-saccade task, memory-guided saccade task, change detection task, and Stroop task). ML was employed to select relevant eye-tracking features for ADHD, and to subsequently construct an optimal model classifying ADHD from TDC. Results: We identified 33 eye-tracking features in the five tasks with the potential to distinguish children with ADHD from TDC. Participants with ADHD showed increased saccade latency and degree, and shorter fixation time in eye-tracking tasks. A soft voting model integrating extra tree and random forest classifiers demonstrated high accuracy (76.3%) at identifying ADHD using eye-tracking features alone. A comparison of the model using only eye-tracking features with models using the Advanced Test of Attention or Stroop test showed no significant difference in the area under the curve (AUC) (p = 0.419 and p=0.235, respectively). Combining demographic, behavioral, and clinical data with eye-tracking features improved accuracy, but did not significantly alter the AUC (p=0.208). Discussion: Our study suggests that eye-tracking features hold promise as ADHD screening tools, even when obtained using a simple digital device. The current findings emphasize that eye-tracking features could be reliable indicators of impaired neurobiological functioning in individuals with ADHD. To enhance utility as a screening tool, future research should be conducted with a larger sample of participants with a more balanced gender ratio.

Effects of sports therapy on improvement of menopausal symptoms, psychological status, and body morphology in perimenopausal women.

OBJECTIVE: The aim of this study was to increase the treatment rate of perimenopausal women by providing evidence-based nonpharmaceutical treatments through developing scientific evidence-based sports therapy and verifying its effectiveness. METHODS: In a cross-over design, a total of 33 women were assigned to two different sequences of intervention: sports therapy and telephone intervention (n = 17) or telephone intervention and sports therapy (n = 16). A self-reported clinical symptom survey was conducted before and after the experimental and control periods using the following measures: the Menopause Rating Scale, Patient Health Questionnaire 9, and Patient Health Questionnaire 15. RESULTS: There were significant differences in the changes in the scores for Menopause Rating Scale total (exercise phase, 17.8 ± 5.5 at baseline [B] and 13.5 ± 4.2 at follow-up [F]; control phase, 15.9 ± 6.0 [B] and 15.4 ± 5.3 [F]; P < 0.01), somatic symptoms (exercise phase, 9.5 ± 2.6 [B] and 6.6 ± 2.0 [F]; control phase, 8.5 ± 2.8 [B] and 8.0 ± 1.3 [F], P < 0.01), and urogenital symptoms (exercise phase, 4.9 ± 1.7 [B] and 4.1 ± 1.4 [F]; control phase, 4.3 ± 1.6 [B] and 4.4 ± 1.5 [F]; P < 0.01) between the exercise and control phases. There were also significant differences in the changes in the scores for PHQ-9 (exercise phase, 4.6 ± 4.4 [B] and 3.6 ± 3.3 [F]; control phase, 4.5 ± 3.8 [B] and 5.5 ± 4.6 [F]; P = 0.008) and PHQ-15 (exercise phase, 7.2 ± 4.4 [B] and 5.5 ± 3.5 [F]; control phase, 6.8 ± 4.4 [B] and 7.2 ± 4.9 [F]; P = 0.009) between the two phases. CONCLUSIONS: Sports therapy would improve menopause symptoms, especially somatic and urogenital symptoms. In addition, sports therapy would improve depressive moods in perimenopausal women.

Depression and posttraumatic stress disorder in adolescents with nonsuicidal self-injury: comparisons of the psychological correlates and suicidal presentations across diagnostic subgroups.

BACKGROUND: Nonsuicidal self-injury (NSSI) combined with suicide ideation increases the risk of suicidal behaviors. Depression and posttraumatic stress disorder (PTSD) are comorbidities of NSSI compounding this relationship. The present study compared diagnostic subgroups of NSSI based on current depression and PTSD on psychological correlates (i.e., vulnerabilities and impairment) and suicidal presentations (i.e., suicidal cognitions and behaviors) in a psychiatric sample of adolescents. METHODS: Eighty-seven adolescents meeting DSM-5 criteria for NSSI and 104 age-range-matched nonclinical controls (NC) participated. Participants completed self-report measures on psychological vulnerabilities and impairment (e.g., emotion regulation difficulties, negative cognitions). Adolescents with NSSI also completed clinical interviews on psychiatric diagnoses and a recent self-injurious behavior (SIB). Scores on the psychological correlates of NSSI were compared between adolescents with NSSI and NC, and across three diagnostic subgroups of NSSI (A: NSSI+/depression-/PTSD-, n = 14; B: NSSI+/depression+/PTSD-, n = 57; C: NSSI+/depression+/PTSD+, n = 14). Differences between NSSI diagnostic subgroups were tested on the motives for SIB and accompanying suicidal presentations (e.g., desire, intent, motive, lethality). RESULTS: Common comorbidities of NSSI included depression, panic disorder, generalized anxiety disorder, and PTSD. The NSSI subgroup classification was significantly associated with panic disorder, which was controlled for in the subsequent group comparisons. Overall, adolescents who engage in NSSI with vs. without depression reported more psychological vulnerabilities and impairment and a greater degree of suicidal thoughts/desire in SIB (i.e., groups B, C >A), which remained significant after controlling for panic disorder. An increased odds of the suicidal motive for SIB was found in adolescents with all three conditions (i.e., group C: NSSI+/depression+/PTSD+) compared to those with NSSI but neither depression nor PTSD (i.e., group A: NSSI+/depression-/PTSD-); however, this was not significant after controlling for panic disorder. CONCLUSIONS: Psychological underpinnings of adolescent NSSI in clinical contexts may be largely associated with concurrent depression. Suicidal motives in adolescents who engage in NSSI in the presence of depression and PTSD may be confounded by the co-occurrence of panic disorder. This study warrants the importance of attending to the comorbid depression with NSSI in adolescents as it is related to an increase in suicidal desire accompanying SIB.

Temperamental and Neuropsychological Predictors for Major League Pro-Baseball Success.

BACKGROUND: Securing a professional baseball career is a formidable task, and only a unique few can overcome the obstacles necessary to become a Major League player in the Korea Baseball Organization (KBO). When achieving a spot in a KBO Major League team, a player's technical aspect may be influenced by their initial neuropsychological status. HYPOTHESIS: Personality and neurocognitive functions influence long-term pro-baseball league success. STUDY DESIGN: Cohort observational study. LEVEL OF EVIDENCE: Level 3. METHODS: From the start of each player's career, we monitored the status and course of 153 baseball players in the KBO from 2009 to 2019 who agreed to participate in this study. The Korean versions of the Temperament and Character Inventory (TCI) and the State-Trait Anxiety Inventory-Y (STAI-KY) analyzed traits and estimated state and trait anxiety levels, respectively. The Trail Making Test (TMT) (parts A and B) assessed attention shifting, and, in the Wisconsin Card Sorting Test (WCST), perseverative errors determined cognitive flexibility. Hierarchical logistic regression models were used to predict player status variables, with TCI and neurocognitive function variables as covariates. RESULTS: High novelty-seeking scores, low state anxiety, and short TMT A results reliably predict KBO Major League participation in a player's third year. Similarly, low state anxiety scores and high harm avoidance, reward dependence, and self-transcendence scores accurately predict KBO Major League participation in a player's fifth year. Lastly, short TMT A results, low perseverative error scores, and high novelty-seeking, harm avoidance, reward dependence, and self-transcendence efficiently predict KBO Major League participation in a player's seventh year. CONCLUSION: Draft ranking, personality, and neurocognitive function are associated with pro-baseball league achievement. In particular, personality and neuropsychological functions are associated with long-term success. CLINICAL RELEVANCE: Clinically, sound personality and neuropsychological functions determine KBO Major League success.

Development and validation of the trauma-specific emotional counting Stroop paradigm for fMRI study.

BACKGROUND: The emotional-counting Stroop (ecStroop) is a cognitive task to evaluate emotional information processing. This study aimed to develop a trauma-specific ecStroop protocol for firefighters and assess its validity as a functional magnetic resonance imaging (fMRI) activation paradigm. METHODS: To develop the ecStroop protocol, trauma-related words for firefighters were selected from previous studies, and general negative and neutral words were matched corresponding to the number of letters and syllables, parts of speech, and frequency in the Korean language. The negative emotional valence of whole words was investigated in 520 healthy participants. To compare brain activation between three categories, 25 healthy individuals underwent fMRI during the ecStroop task. RESULTS: Eight trauma-related words, eight general negative words, and sixteen neutral words were selected by emotional valence scores. The general negative words were related to increased activation in the right inferior and middle temporal gyrus, right medial frontal gyrus, and left superior frontal gyrus compared to the neutral words. When exposed to the trauma-related words, participants' brain activation was increased in the right inferior temporal gyrus, right medial frontal gyrus, left superior temporal gyrus, and left inferior frontal gyrus as compared to when exposed to the neutral words. LIMITATIONS: The fact that all participants in the phase 2 fMRI study were male could limit generalization to all genders. CONCLUSIONS: These findings suggest that the ecStroop paradigm successfully activated the brain regions for emotional processing. This paradigm could be valuable in assessing the trauma-specific neural changes in firefighters.

Effects of game-based digital therapeutics on attention deficit hyperactivity disorder in children and adolescents as assessed by parents or teachers: a systematic review and meta-analysis.

Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset disorder characterized by pharmacological and non-pharmacological interventions. Despite the available treatment options and prevention measures, conventional treatments have several limitations. Digital therapeutics (DTx) like EndeavorRx® is an emerging alternative to overcome these limitations. EndeavorRx® is the first FDA-approved, game-based DTx approved for the treatment of pediatric ADHD. We investigated the effects of game-based DTx in randomised controlled trials (RCTs) on children and adolescents with ADHD. In this systematic review and meta-analysis, we searched PubMed, Embase, and PsycINFO databases up to January 2022. The protocol was registered (CRD42022299866). The assessor was defined as parents and teachers. The primary outcome was differences in inattention reported by the assessor, and the secondary outcome was differences in hyperactivity and hyperactivity/impulsivity reported by the assessor and the relative comparisons between game-based DTx, medicine, and control with indirect meta-analysis. Game-based DTx improved inattention more than the control upon assessment by assessors (standard mean difference (SMD) 0.28, 95% confidence interval (CI) 0.14-0.41; SMD 0.21, 95% CI 0.03-0.39, respectively), while medication improved inattention more than game-based DTx (SMD - 0·62, 95% CI - 1·04 to - 0·20) upon assessment by the teacher. Game-based DTx improved hyperactivity/impulsivity than the control upon assessment by assessors (SMD 0.28, 95% CI 0.03-0.53; SMD 0.30, 95% CI 0.05-0.55, respectively), and medication improved hyperactivity/impulsivity significantly than game-based DTx upon assessment by the teacher. Hyperactivity has not been reported extensively. As a result, game-based DTx had a more significant effect than the control, however medication was more effective.

Soccer's AI transformation: deep learning's analysis of soccer's pandemic research evolution.

Introduction: This paper aims to identify and compare changes in trends and research interests in soccer articles from before and during the COVID-19 pandemic. Methods: We compared research interests and trends in soccer-related journal articles published before COVID-19 (2018-2020) and during the COVID-19 pandemic (2021-2022) using Bidirectional Encoder Representations from Transformers (BERT) topic modeling. Results: In both periods, we categorized the social sciences into psychology, sociology, business, and technology, with some interdisciplinary research topics identified, and we identified changes during the COVID-19 pandemic period, including a new approach to home advantage. Furthermore, Sports science and sports medicine had a vast array of subject areas and topics, but some similar themes emerged in both periods and found changes before and during COVID-19. These changes can be broadly categorized into (a) Social Sciences and Technology; (b) Performance training approaches; (c) injury part of body. With training topics being more prominent than match performance during the pandemic; and changes within injuries, with the lower limbs becoming more prominent than the head during the pandemic. Conclusion: Now that the pandemic has ended, soccer environments and routines have returned to pre-pandemic levels, but the environment that have changed during the pandemic provide an opportunity for researchers and practitioners in the field of soccer to detect post-pandemic changes and identify trends and future directions for research.

Beyond Attention-Deficit Hyperactivity Disorder: Exploring Psychiatric Comorbidities and Their Neuropsychological Consequences in Adults.

Objectives: This study aimed to identify the psychiatric comorbidity status of adult patients diagnosed with attention-deficit hyperactivity disorder (ADHD) and determine the impact of comorbidities on neuropsychological outcomes in ADHD. Methods: The study participants were 124 adult patients with ADHD. Clinical psychiatric assessments were performed by two boardcertified psychiatrists in accordance with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. All participants were assessed using the Mini-International Neuropsychiatric Interview Plus version 5.0.0 to evaluate comorbidities. After screening, neuropsychological outcomes were assessed using the Comprehensive Attention Test (CAT) and the Korean version of the Wechsler Adult Intelligence Scale, Fourth Edition (K-WAIS-IV). Results: Mood disorders (38.7%) were the most common comorbidity of ADHD, followed by anxiety (18.5%) and substance use disorders (13.7%). The ADHD with comorbidities group showed worse results on the Perceptual Organization Index and Working Memory Index sections of the K-WAIS than the ADHD-alone group (p=0.015 and p=0.024, respectively). In addition, the presence of comorbidities was associated with worse performance on simple visual commission errors in the CAT tests (p=0.024). Conclusion: These findings suggest that psychiatric comorbidities are associated with poor neuropsychological outcomes in adult patients with ADHD, highlighting the need to identify comorbidities in these patients.

Attention Circuits Mediate the Connection between Emotional Experience and Expression within the Emotional Circuit.

Objective: : Most affective neuroscience studies use pictures from the International Affective Picture System or standard facial expressions to elicit emotional experiences. The attention system, including the prefrontal cortex, can mediate emotional regulation in response to stimulation with emotional faces. We hypothesized that emotional experience is associated with brain activity within the neocortex. In addition, modification within the neocortex may be associated with brain activity within the attention system. Methods: : Thirty-one healthy adult participants were recruited to be assessed for emotional expression using clinical scales of happiness, sadness, anxiety, and anger as and for emotional experience using brain activity in response to pictures of facial emotional expressions. The attention system was assessed using brain activity in response to the go-no-go task. Results: : We found that emotional experience was associated with brain activity within the frontotemporal cortices, while emotional expression was associated with brain activity within the temporal and insular cortices. In addition, the association of brain activity between emotional experiences and expressions of sadness and anxiety was affected by brain activity within the anterior cingulate gyrus in response to the go-no-go task. Conclusion: : Emotional expression may be associated with brain activity within the temporal cortex, whereas emotional experience may be associated with brain activity within the frontotemporal cortices. In addition, the attention system may interfere with the connection between emotional expression and experience.

The Effect of Psychological Factors on COVID-19 Vaccination Side Effects: A Cross-Sectional Survey in South Korea.

OBJECTIVE: Side effects from the coronavirus disease-2019 (COVID-19) vaccine, such as pain, headache, nausea, and fatigue, have caused vaccine hesitancy. Research on the effects of psychological factors on COVID-19 vaccine side effects is insufficient. This study aims to investigate the effect of psychological factors on COVID-19 vaccination side effects. METHODS: We recruited a total of 226 individuals registered for the COVID-19 vaccine in Seoul, South Korea, for this study. Participants completed a pre-vaccination questionnaire, including the 5C antecedents of vaccination, and a survey of psychological factors (Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7, Somatic symptom amplification scale [SSAS], and Illness Attitude Scale [IAS]). After vaccination, participants completed an online questionnaire regarding vaccine side effects at 20 minutes, three days, and seven days after vaccination. We added a discrete set of hierarchical variables with vaccine side effects as the dependent variable to the hierarchical regression analysis: demographics for Model 1, 5C antecedents of vaccination for Model 2, and psychological factors for Model 3. RESULTS: Our results indicated that the risk factors for side effects 20 minutes after vaccination were young age, high PHQ, and SSAS scores. Risk factors for side effects three days after vaccination were young age, high constraints, and calculation, and the risk factor for side effects at seven days was a high IAS score. CONCLUSION: Our study confirmed that there is a significant relationship between psychological factors and COVID-19 vaccine side effects in chronological order. Psychosocial factors should be examined when assessing side-effect reactions to the COVID-19 vaccine.

Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling.

This study identifies the topical areas of research that have attempted a psychological approach to soccer research over the last 33 years (1990-2022) and explored the growth and stagnation of the topic as well as research contributions to soccer development. Data were obtained from 1863 papers from the Web of Science database. The data were collected through keyword text mining and data preprocessing to determine the keywords needed for analysis. Based on the keywords, latent Dirichlet allocation-based topic modeling analysis was performed to analyze the topic distribution of papers and explore research trends by topic area. The topic modeling process included four topic area and fifty topics. The "Coaching Essentials in Football" topic area had the highest frequency, but it was not statistically identified as a trend. However, coaching, including training, is expected to continue to be an important research topic, as it is a key requirement for success in the highly competitive elite football world. Interest in the research field of "Psychological Skills for Performance Development" has waned in recent years. This may be due to the predominance of other subject areas rather than a lack of interest. Various high-tech interventions and problem-solving attempts are being made in this field, providing opportunities for qualitative and quantitative expansion. "Motivation, cognition, and emotion" is a largely underrated subject area in soccer psychology. This could be because survey-based psychological evaluation attempts have decreased as the importance of rapid field application has been emphasized in recent soccer-related studies. However, measuring psychological factors contributes to the study of football psychology through a new methodology and theoretical background. Recognizing the important role of psychological factors in player performance and mental management, as well as presenting new research directions and approaches that can be directly applied to the field, will advance soccer psychology research.