{"title":"We need to personalize (mental) health, not only psychopathology.","authors":"Sigal Zilcha-Mano","doi":"10.1037/abn0000976","DOIUrl":"https://doi.org/10.1037/abn0000976","url":null,"abstract":"In their introduction to the special issue on addressing clinical heterogeneity in psychopathology through brain science, Damme and Mittal (see record 2025-40884-001) highlighted the transformative potential of using brain data to uncover variability in mental health diagnoses and their underlying mechanisms. The articles in this issue exemplify this, such as Reimann et al. (see record 2025-40884-008), who demonstrated how neurodevelopmental differences, like variations in structural properties, reveal subgroups with unique cognitive and clinical profiles among youths with similar psychopathology levels. This commentary builds on these important insights while proposing a critical broadening of focus. While much attention has been given to individual-specific psychopathology, the personalized \"end goal\" of treatment-defining individual-specific healthy states-has been largely neglected in the literature. Addressing both the starting and end points of interventions will deepen our understanding of psychopathology by integrating diverse definitions of health, ensuring treatment approaches are tailored to the uniqueness of each individual. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"74 5 Pt 1 1","pages":"343-344"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tailoring clinical goals to the individual is a good idea, and lessons from brain science can help.","authors":"Katherine S F Damme,Vijay A Mittal","doi":"10.1037/abn0000979","DOIUrl":"https://doi.org/10.1037/abn0000979","url":null,"abstract":"Zilcha-Mano (see record 2026-05243-001) provided several important insights relating to our recent special issue on utilizing data from brain science to better manage clinical heterogeneity (Damme & Mittal, 2024) and expanded on these ideas by emphasizing that individualized definitions of what \"healthy\" is an important consideration as well. We agree that tailoring treatment planning to an individual person is a very good idea, and, in a related point, we have recently argued that efforts to manage clinical heterogeneity are only as good as the quality of the outcome variables in consideration (see Kraus et al., 2024). In this commentary, we discuss potential barriers, caveats, and considerations and suggest theoretical intersections where lessons from brain research may help. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"23 1","pages":"345-347"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"For clinical translation, the Hierarchical Taxonomy of Psychopathology (HiTOP) must stand on its own two feet.","authors":"Jai Carmichael,Darren Haywood","doi":"10.1037/abn0001004","DOIUrl":"https://doi.org/10.1037/abn0001004","url":null,"abstract":"This article discusses the Hierarchical Taxonomy of Psychopathology (HiTOP). The Hierarchical Taxonomy of Psychopathology (HiTOP) is a large-scale effort involving over 170 researchers to refine the classification of psychopathology. Unlike the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD) diagnostic categories, HiTOP organizes psychopathological symptoms and traits into increasingly broad dimensions based on statistical covariance patterns identified across hundreds of studies, aiming to offer a more scientifically and empirically grounded alternative to conventional nosologies. Since its introduction in 2017, HiTOP has gained significant traction in research, with its foundational publication cited over 3,200 times so far. HiTOP is designed not only as a research tool, however, but also as a framework explicitly intended for clinical application. While HiTOP's translation into routine clinical practice is still at the relatively early stages, the HiTOP Consortium has made several commendable steps toward this goal with initiatives such as the development of the HiTOP Digital Assessment Tracker, HiTOP Patient Reported Outcome (HiTOP-PRO) measure, a clinical training workshop, ongoing clinical field trials, clinical primers, and resources to support billing when using HiTOP. Overall, the researchers are optimistic about HiTOP's potential to benefit psychological and psychiatric practice, but we believe its positioning as a clinical tool can be strengthened. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Moving toward transdiagnostic dimensional models of neurodiversity and mental health (and away from models of psychopathology).","authors":"Isabelle Morris,Giorgia Michelini,Sylia Wilson","doi":"10.1037/abn0001007","DOIUrl":"https://doi.org/10.1037/abn0001007","url":null,"abstract":"This article discusses the transdiagnostic dimensional models of neurodiversity and mental health. Moving toward transdiagnostic dimensional models of neurodiversity and mental health-rather than dimensional models of psychopathology-embraces neurodiversity as human diversity and destigmatizes neurodivergence. Individuals with neurodevelopmental conditions do not need to be \"cured\" of neurodivergence as pathology, but the inclusion of neurodevelopmental conditions in transdiagnostic dimensional models does recognize the high co-occurrence of different neurodevelopmental conditions with each other and with mental health concerns and increases access to appropriate and needed supports to improve well-being across the lifespan. Increasing recognition that neurodiversity is part of human diversity prompts reconsideration of the current dominant conceptualization of neurodivergence as inherently atypical or pathological. \"Neurodiversity\" refers to the tremendous range of possible variations in brain function, neurocognition, and behavior-no two brains or minds function in exactly the same way. \"Neurodivergent,\" often contrasted with \"neurotypical,\" refers to a brain or mind that functions in a way that deviates from culturally normative expectations. Neurodivergence may manifest in different ways and to varying degrees-and be more or less adaptive at different times, in different contexts, or from different perspectives. \"Neurodevelopmental conditions\" are characterized by neurodivergence, including early-arising differences that affect cognition, motor function, sensation, perception, and/or communication and are currently included in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition in the \"Neurodevelopmental Disorders\" chapter. The authors propose a distinction between neurodevelopmental conditions and mental health conditions such that DSM neurodevelopmental disorders should no longer be subsumed under the mental disorder classification but instead reclassified alongside them, resulting in the Diagnostic and Statistical Manual of Neurodevelopmental and Mental Disorders. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emotion regulation, depressive symptoms, and sleep problems in adolescents: A four-wave random-intercept cross-lagged panel model.","authors":"Sihan Liu,Jiefeng Ying,Anan Feng,Qian Shi,Jutta Joormann","doi":"10.1037/abn0001006","DOIUrl":"https://doi.org/10.1037/abn0001006","url":null,"abstract":"Depressive symptoms and sleep problems are detrimental for adolescents, with emotion regulation related to both problems. The present study explores emotion regulation as a potential mediator of the reciprocal associations between depressive symptoms and sleep problems and examines gender differences. A total of 1,535 adolescents (47.4% girls; baseline Mage = 13.19 years) were included in this four-wave longitudinal study with 6-month intervals. We used random-intercept cross-lagged panel models to examine our research questions. The results indicated that increases in sleep problems significantly predicted more depressive symptoms 6 months later but not vice versa. Emotion regulation mediated the reciprocal associations between depressive symptoms and sleep problems. Multigroup analyses on the associations among depressive symptoms, sleep problems, and emotion regulation showed that sleep problems predicted depressive symptoms, but not vice versa, in both girls and boys. However, emotion regulation was a mediator only in girls but not boys. These findings support the critical role of sleep problems in the development of depressive symptoms, underscoring the necessity for early and targeted sleep interventions. Emotion regulation was shown to mediate the reciprocal associations between depressive symptoms and sleep problems in girls only highlighting the need for more focus on gender differences and a need for gender-sensitive intervention strategies. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saskia Scholten,Lars Klintwall,Julia Anna Glombiewski,Julian Burger
{"title":"Updating patient perceptions with intensive longitudinal data for enhanced case conceptualizations: An approach with Bayesian informative priors.","authors":"Saskia Scholten,Lars Klintwall,Julia Anna Glombiewski,Julian Burger","doi":"10.1037/abn0000993","DOIUrl":"https://doi.org/10.1037/abn0000993","url":null,"abstract":"Addressing the persistent heterogeneity in psychopathology, treatment outcomes, and the science-practice gap requires a systematic approach to personalizing psychotherapy. Case conceptualization seeks to understand a patient's unique psychopathology by generating and continuously updating hypotheses about predisposing, precipitating, and maintaining factors. This study introduces a new data-driven method to formalize this process with personalized network estimation, combining prior elicitation and Bayesian inference. It is the first to test its clinical usefulness with 12 patients, primarily treated for depression, and their therapists (preregistered and can be found as the additional online materials: https://osf.io/38qdx). Patients employed the Perceived Causal Networks method to create personalized \"prior networks,\" mapping how they perceived their symptoms to interact. Bayesian inference was used to update these prior networks using longitudinal data collected subsequently 6 times daily over 15 days (N = 935), resulting in personalized \"posterior networks.\" Both Perceived Causal Networks and longitudinal assessments were evaluated as feasible and acceptable. Face validity was scored highest for the posterior networks. Patients emphasized the personal relevance of these networks, while therapists noted their value in guiding the therapeutic process. However, prior, posterior, and data networks showed significant dissimilarities. These differences may stem from patients' limited insight into symptom interactions, insufficient power in the longitudinal data, or variations in self-perception. Despite some inconsistencies, the study shows potential for combining two methods to create personalized models of psychopathology, highlighting the need for future research to refine this formalization process into a more rigorous theoretical-empirical cycle to test these models. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stewart A Shankman,James E Glazer,Brent I Rappaport,Lilian Y Li,Florian Wüthrich,Lauren N Grzelak,Sebastian Walther,Vijay A Mittal
{"title":"Disentangling the effects of daily physical activity and natural white light exposure on affect.","authors":"Stewart A Shankman,James E Glazer,Brent I Rappaport,Lilian Y Li,Florian Wüthrich,Lauren N Grzelak,Sebastian Walther,Vijay A Mittal","doi":"10.1037/abn0000995","DOIUrl":"https://doi.org/10.1037/abn0000995","url":null,"abstract":"Physical activity has a well-known positive effect on mood and often occurs outside in natural light. The specific effects of natural light exposure on mood are understudied, but clinically significant as it may reflect a widely accessible method to enhance mood. This study thus aimed to disentangle the effects of (a) physical activity and (b) natural light exposure on daily mood. For 2 weeks, 131 participants wore actigraphs that assessed their physical activity and light exposure. Participants also rated their positive and negative affect 3 times/day. Multilevel models separated within-person (relative to self) and between-person (relative to others) effects. Results suggest that within person increases in daily natural light exposure (B = 0.03, p < .05) and physical activity (B = 0.08, p < .05) were independently associated with increased positive affect, but not negative affect. Results remained significant controlling for between-person effects and other covariates, including overall depression severity. Findings offer preliminary evidence that natural light exposure may be one pathway to increase positive affect in everyday life. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emily K Burr,Lidia Z Meshesha,Robert D Dvorak,Quinn Allen,Tatiana Magri,Callie L Wang,Emma R Hayden,Nadia E Rodriguez,Angelina V Leary,Madison Maynard,Stephen A Wonderlich,Glen Forester,Lauren M Schaefer
{"title":"Using behavioral economics to understand reinforcement mechanisms of loss-of-control eating: An ecological momentary assessment approach.","authors":"Emily K Burr,Lidia Z Meshesha,Robert D Dvorak,Quinn Allen,Tatiana Magri,Callie L Wang,Emma R Hayden,Nadia E Rodriguez,Angelina V Leary,Madison Maynard,Stephen A Wonderlich,Glen Forester,Lauren M Schaefer","doi":"10.1037/abn0000996","DOIUrl":"https://doi.org/10.1037/abn0000996","url":null,"abstract":"Loss-of-control eating (LOCE) is the subjective inability to stop eating once one has started or to refrain from food consumption. State-level affect, food craving, and reward dysfunction have all been implicated as vulnerabilities to recurrent LOCE, mostly studied in the context of binge eating (i.e., LOCE with objective overeating). Hypothetical purchase tasks are a behavioral economic approach to assessing the reward value of a given behavior or commodity, which have typically been used in substance use literature. The current study tested a momentary mediation model in which positive and negative affect at Time 1 was hypothesized to predict Time 2 food demand (assessed using three variables from an ambulatory food purchase task), in turn leading to LOCE at Time 3 by way of Time 2 craving (affect → food demand → craving → LOCE). This model was assessed using a 10-day ecological momentary assessment protocol in 78 community adults with recurrent LOCE (87% female, 71% White). At the within-subjects (i.e., momentary) level, LOCE was predicted by prior food craving. Food reward value metrics additionally mediated the LOCE antecedent of negative affect, but not positive affect. Interestingly, between subjects, the relationship between craving and LOCE was unexpectedly negative, and only negative affect was associated with subsequent LOCE, by way of time two craving but not time two food reward value. Clinical implications and future directions are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adam C Jaroszewski,Alexander J Millner,Samuel J Gershman,Peter J Franz,Kate H Bentley,Evan M Kleiman,Matthew K Nock
{"title":"Past suicide attempt is associated with a weaker decision-making bias to actively escape from suicide-related stimuli.","authors":"Adam C Jaroszewski,Alexander J Millner,Samuel J Gershman,Peter J Franz,Kate H Bentley,Evan M Kleiman,Matthew K Nock","doi":"10.1037/abn0000989","DOIUrl":"https://doi.org/10.1037/abn0000989","url":null,"abstract":"Theory and evidence suggest that people attempt suicide to escape acute distress. However, little is known about why people select suicide instead of other ways to escape (e.g., alcohol/drug use). One possibility is that suicide-related stimuli in one's environment (e.g., suicide methods) bias this decision, particularly when such stimuli elicit little aversion. We tested whether suicide-related stimuli bias decisions to escape acute distress. We recruited 360 adults with past 3-month active suicidal thoughts and behaviors (STB; n = 120), elevated psychiatric symptoms without STB (n = 152), or no symptoms/STB (n = 88). Participants explicitly rated personalized suicide pictures (e.g., pointing a gun up at oneself) and positive contrasts and completed a behavioral task, where they made decisions to escape an acutely distressing noise in relation to these stimuli. We used a computational model of task performance to capture latent biases hypothetically influencing decision making. We assessed STB 3 months later. Results indicated that people with a past suicide attempt exhibited much lower suicide aversion than others. In the behavioral task, the suicidal group made more impulsive escape decisions in relation to suicide versus positive stimuli. The computational model helped explain this effect, capturing a latent bias driven by the suicide stimuli. Within the suicidal group, weaker biases mediated the association between lower suicide aversion and higher odds of past suicide attempt. These results provide evidence of novel, specific, incrementally valid, and objectively assessed suicide-attempt correlate and suggest that decision science is useful for understanding mechanisms increasing risk for suicide and other escape-related phenomena involving stimulus-driven processes (e.g., substance misuse, and anxiety). (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claire E Cusack,Luis E Sandoval-Araujo,Juan C Hernández,Jamie-Lee Pennesi,Gal Lazarus,Cheri A Levinson,Aaron J Fisher
{"title":"What's strength centrality got to do with it? Examining the stability of central symptoms across symptom ensembles and time in idiographic networks.","authors":"Claire E Cusack,Luis E Sandoval-Araujo,Juan C Hernández,Jamie-Lee Pennesi,Gal Lazarus,Cheri A Levinson,Aaron J Fisher","doi":"10.1037/abn0001005","DOIUrl":"https://doi.org/10.1037/abn0001005","url":null,"abstract":"Network analysis is a popular method researchers use to characterize the structure of psychopathology and inform personalized treatments. Typically, applied researchers, based on network theory, interpret symptoms with the highest strength centrality as most important to network structure and represent amenable treatment targets. This study examines the stability of strength centrality in idiographic networks in a sample of participants with eating disorders (N = 26, 90-day assessment, M = 356.00 observations per person) and a second sample of participants with social anxiety disorder (N = 42, 30-day assessment, M = 201.90 observations per person). We estimated idiographic networks using three different item-inclusion approaches and accounted for time using a \"sliding window\" method (e.g., Window 1 = data from Days 1-15, Window 2 = data from Days 2-16). Items included in networks were selected in three ways: default networks (six items with the highest means at Window 1), changing means networks (six items with the highest means at each respective Window), and random ensembles (random combinations of any six items across all sliding windows). In both samples, we found that the most central symptom in the default network was central in less than half of idiographic changing means networks (maximum = 29.41% of networks). Our results show that node strength centrality estimates are sensitive to item ensemble and temporal effects. We discuss implications concerning inferences assigned to strength centrality given the frequency at which strength centrality changes and future efforts developing network-informed personalized treatment. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"108 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}