Schizophrenia (Heidelberg, Germany)最新文献

{"title":"Psychiatric factors predict type 2 diabetes mellitus in US Veterans.","authors":"Lora Lee Pless, Chantele Mitchell-Miland, Yeon-Jung Seo, Charles B Bennett, Zachary Freyberg, Gretchen L Haas","doi":"10.1038/s41537-025-00616-y","DOIUrl":"https://doi.org/10.1038/s41537-025-00616-y","url":null,"abstract":"<p><p>Co-occurrence of type 2 diabetes mellitus (T2D) and serious mental illnesses (SMI) is prevalent yet underappreciated, and significantly contributes to increased morbidity and reduced lifespan. There is, therefore, a need to identify T2D risk factors to inform preventative approaches to the care of SMI-diagnosed patients. Our objective was to use predictive modeling methods to capture risk factors for T2D in a sample of 618,203 Veterans using data obtained from hospital electronic health records (EHR). This case-control study assessed VISN4 Veterans with and without T2D diagnoses and SMI diagnoses (schizophrenia, SZ; schizoaffective, SZA; bipolar disorder, BD; major depression, MDD; 2009-2019). Demographic variables and medications were obtained from the EHR. Following rigorous data quality control, 543,979 Veterans qualified for analysis (Age_mean[SD] = 65.9[17.6]years; body mass index(BMI)_mean[SD] = 28.6[6.0]kg/m²; N_T2D = 157,457[29%]; and N_male = 506,257[93.1%]). Veterans with co-occurring SMI + T2D included N_SZ = 2,087(36.5%), N_SZA = 1,345(36.3%), N_BD = 10,540(29.2%), and N_MDD = 20,510(30%) compared to 112,973(28.6%) non-SMI controls (NSC) with T2D. Factors that predicted T2D (R² = 34%) included age, sex, BMI, race/ethnicity, psychiatric diagnoses, and commonly prescribed psychiatric medications. Significant interactions were found between age (centered) and BMI on the odds of T2D (P < 0.001), as well as interaction between sex and BMI (P < 0.001), after adjusting for confounders. Veterans with SMI (SZ, MDD, SZA, and BD) had a higher likelihood of experiencing T2D, compared to the NSCs (OR_SZ = 1.30, 95% CI = 1.21-1.40; OR_MDD = 1.07, 95% CI = 1.05-1.10; OR_SZA = 1.26, 95% CI = 1.16-1.38; OR_BD = 1.05, 95% CI = 1.01-1.08). Finally, Veterans exposed to both selective serotonin reuptake inhibitor (SSRI) antidepressants and mood stabilizers had a 2.11 times increase in the odds of having T2D (95% CI = 2.06-2.16; P < 0.001) compared to Veterans not taking either medication. Four major psychiatric disorders (SZ, SZA, MDD, and BD) and several classes of medications used to treat them increased T2D risk. Our findings suggest that the measures assayed offer a potentially useful signal, that along with clinical, anthropometric, and biochemical measures can be used to ascertain metabolic risk. If confirmed with an independent sample, these findings could also inform medication choices made by prescribers.</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"63"},"PeriodicalIF":3.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12003899/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143994014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathways to prevention: the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) Program.","authors":"Barnaby Nelson, Martha E Shenton, Scott W Woods","doi":"10.1038/s41537-025-00605-1","DOIUrl":"https://doi.org/10.1038/s41537-025-00605-1","url":null,"abstract":"","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"62"},"PeriodicalIF":3.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12000314/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144026239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Semantic memory disorganization linked to social functioning in patients with schizophrenia.","authors":"Ayumu Wada, Chika Sumiyoshi, Naoki Yoshimura, Ryota Hashimoto, Junya Matsumoto, Andrew Stickley, Yuji Yamada, Akiko Kikuchi, Ryotaro Kubota, Makoto Matsui, Kana Nakachi, Chinatsu Fujimaki, Leona Adachi, Risa Yamada, Tomiki Sumiyoshi","doi":"10.1038/s41537-025-00615-z","DOIUrl":"https://doi.org/10.1038/s41537-025-00615-z","url":null,"abstract":"<p><p>Schizophrenia is characterized by language-related symptoms stemming from semantic memory disorganization, which often leads to poor social functioning. Although numerous studies have attempted to elucidate the association between these symptoms and social functioning, it remains unclear how individual differences in the degree of semantic memory disorganization are linked to variations in social functioning scores. Here, we investigated this association by utilizing advanced automated scoring techniques to quantify individual-specific semantic memory parameters from the category fluency test (CFT). Specifically, the similarity between consecutive responses from the CFT was calculated using distributional representations, forming the basis for the semantic memory organization parameters. Results showed that schizophrenia patients (n = 139) exhibited semantic memory disorganization compared to healthy controls (n = 98). Generalized linear models analyzing social functioning within the schizophrenia group, as measured by the Specific Levels of Functioning Scale, revealed that higher semantic memory parameters were associated with better social functioning scores (β = 0.07, z = 4.90, p < 0.01). These findings suggest that social functioning is related to semantic memory organization, thus providing a framework for the exploration of social functioning by assessing semantic memory organization in patients with schizophrenia.</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"61"},"PeriodicalIF":3.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11997020/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex-based differences in Jumping to Conclusions: a multidimensional analysis of first-episode psychosis.","authors":"Luciana Díaz-Cutraro, Marina Verdaguer-Rodríguez, Helena García-Mieres, Marta Ferrer-Quintero, Raquel López-Carrilero, Carol Palma-Sevillano, Maria Lamarca, Victoria Espinosa, Mara Luisa Barrigón, Fermín González-Higueras, Esther Pousa, Eva Grasa, Ester Lorente-Rovira, Alfonso Gutiérrez-Zotes, Ana Barajas, Isabel Ruiz-Delgado, Jordi Cid, Steffen Moritz, Julia Rico, Julia Sevilla-Llewellyn-Jones, Josep Maria Haro, Susana Ochoa","doi":"10.1038/s41537-025-00579-0","DOIUrl":"https://doi.org/10.1038/s41537-025-00579-0","url":null,"abstract":"<p><p>Jumping to conclusions (JTC) bias is a hallmark cognitive bias in psychosis that involves hasty decision-making with limited evidence. Previous research has shown links between JTC and neurocognitive (NC), social cognitive (SC), metacognitive (MC), and clinical (CV) variables, but sex-based differences in these relationships remain understudied. This multicenter cross-sectional study included 121 first-episode psychosis (FEP) patients from nine Spanish mental health centers. Participants underwent comprehensive assessments of JTC, SC, NC, MC, and CV, and the interaction between JTC and sex was analysed. JTC-women attributed negative causes of events to themselves more often than non-JTC women and men, while JTC-men displayed more cognitive rigidity, slower processing speed, and better self-esteem compared to their non-JTC counterparts. Non-JTC-women showed better verbal memory recall. Logistic regression revealed distinct predictors for JTC by sex: women were influenced by negative internalization of events and visuospatial speed, while men's JTC was linked to errors in executive functions and memory. These results highlight the importance of sex-specific patterns in JTC and suggest that women might benefit from interventions targeting reflective thinking and social cognition, whereas men may need neurocognitive rehabilitation strategies.</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"60"},"PeriodicalIF":3.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11993601/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author Correction: Resting-state EEG and MEG gamma frequencies in schizophrenia: a systematic review and exploratory power-spectrum meta-analysis.","authors":"Marco De Pieri, Michel Sabe, Vincent Rochas, Greta Poglia, Javier Bartolomei, Matthias Kirschner, Stefan Kaiser","doi":"10.1038/s41537-025-00611-3","DOIUrl":"https://doi.org/10.1038/s41537-025-00611-3","url":null,"abstract":"","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"59"},"PeriodicalIF":3.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11993756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visual integration deficits associated with psychosis are independent of diagnosis.","authors":"Mia Geljic, Matthew Mitchell, Keri-Anne Stevens, Henry Holbrook, Hayley Darke, Patrick Goodbourn, Christina Damicoucas, Mohammad Asghari-Jafarabadi, Suresh Sundram, Olivia Carter","doi":"10.1038/s41537-025-00606-0","DOIUrl":"https://doi.org/10.1038/s41537-025-00606-0","url":null,"abstract":"<p><p>Evidence of altered visual processing is well-established in schizophrenia. Visual integration deficits have been highlighted as a potential diagnostic biomarker to distinguish schizophrenia from other psychiatric disorders. Motivated by the current lack of cross-diagnostic assessments of visual integration performance, the current study used the Jittered Orientation Visual Integration (JOVI) task to assess contour integration performance in 85 psychiatric inpatients split into \"schizophrenia spectrum\" (n = 40) and \"other psychiatric disorders\" (n = 45), and healthy controls (n = 43). The study also examined attentional and working memory ability using the Digit Span Task. JOVI accuracy scores were found to be significantly impaired relative to healthy controls for both the schizophrenia (p < 0.001) and other psychiatric (p < 0001) patient groups. In line with a transdiagnostic deficit, no differences in JOVI accuracy were seen between the patient groups (p = 0.97) with reduced JOVI accuracy correlating with worsening psychosis regardless of diagnosis (r = -0.32, p < 0.05). Schizophrenia spectrum patients also showed reduced Digit Span Forward (p < 0.001) and Backward scores (p < 0.001). The other psychiatric (p = 0.024) group were similarly found to be impaired in the Digit Span Backward relative to healthy controls, however no differences were seen between the patient groups. The findings indicate that contour integration deficits are not specific to schizophrenia spectrum disorders, and instead the neurobiological underpinnings of visual integration impairment may share commonality with psychosis more generally. The findings are also consistent with cognitive factors playing a potential role in JOVI performance and highlight the difficulty in teasing apart altered perceptual and cognitive function in psychiatric patient groups.</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"58"},"PeriodicalIF":3.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11982286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144031629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging Science and Hope: integrating and Communicating Lived experience in Accelerating Medicines Partnership® Schizophrenia Program.","authors":"Ameneh Asgari-Targhi, Beier Yao, Lisa Brown, Suzanne Garcia, Arundati Nagendra, Kota Chin, Tashrif Billah, Nora Penzel, Omar John, Nicholas Prunier, Simone Veale, Elana Kotler, Grace R Jacobs, Ming Zhan, Michael J Coleman, Sylvain Bouix, Ofer Pasternak, Guillermo Cecci, Justin T Baker, Daniel H Mathalon, Sinead M Kelly, Cheryl M Corcoran, Abraham Reichenberg, Inge Winter-van Rossum, Marek Kubicki, Jessica Spark, Dominic Dwyer, Celso Arango, Paolo Fusar-Poli, Monica Calkins, Jai L Shah, Vijay Mittal, Andrew Thompson, Patrick D McGorry, René S Kahn, John M Kane, Carrie E Bearden, Scott W Woods, Barnaby Nelson, Martha E Shenton, Brandon Staglin, Carlos A Larrauri, Kathryn Eve Lewandowski, Tina Kapur","doi":"10.1038/s41537-025-00572-7","DOIUrl":"10.1038/s41537-025-00572-7","url":null,"abstract":"","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"57"},"PeriodicalIF":3.0,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11977264/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resource deprivation in the home environment is associated with negative symptoms in outpatients with Schizophrenia.","authors":"Lauren Luther, Zhixin Zhang, Sydney H James, Luyu Zhang, Jennifer Standridge, Lauren Arnold, Ruth Condray, Daniel N Allen, Gregory P Strauss","doi":"10.1038/s41537-025-00602-4","DOIUrl":"10.1038/s41537-025-00602-4","url":null,"abstract":"<p><p>Limited negative symptoms treatment effectiveness may result from environmental resource deprivation that is a barrier for performing goal-directed, recreational, and social activities. This study showed that environmental resource deprivation in the home environment was greater for people with schizophrenia (n = 39) than 32 demographically-matched healthy controls (CN). Greater environmental resource reductions for performing goal-directed, recreational, and social activities were associated with greater negative symptoms, even after controlling for income and secondary negative symptom factors (depression, positive symptoms).</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"56"},"PeriodicalIF":3.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971288/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sample ascertainment and clinical outcome measures in the Accelerating Medicines Partnership® Schizophrenia Program.","authors":"Jean Addington, Lu Liu, Amy Braun, Andrea Auther, Monica E Calkins, Barbara A Cornblatt, Cheryl M Corcoran, Paolo Fusar-Poli, Melissa J Kerr, Catalina V Mourgues-Codern, Angela R Nunez, Dominic Oliver, Gregory P Strauss, Barbara C Walsh, Luis K Alameda, Celso Arango, Nicholas J K Breitborde, Matthew R Broome, Kristin S Cadenhead, Ricardo E Carrion, Eric Yu Hai Chen, Jimmy Choi, Michael J Coleman, Philippe Conus, Covadonga M Diaz-Caneja, Dominic Dwyer, Lauren M Ellman, Masoomeh Faghankhani, Pablo A Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E Horton, Christy Hui, Grace R Jacobs, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Kathryn E Lewandowski, Daniel Mamah, Patricia J Marcy, Daniel H Mathalon, Vijay A Mittal, Merete Nordentoft, Godfrey D Pearlson, Nora Penzel, Jesus Perez, Diana O Perkins, Albert R Powers, Jack Rogers, Fred W Sabb, Jason Schiffman, Jai L Shah, Steven M Silverstein, Stefan Smesny, William S Stone, Andrew Thompson, Judy L Thompson, Rachel Upthegrove, Swapna Verma, Jijun Wang, Heather M Wastler, Alana Wickham, Inge Winter-van Rossum, Daniel H Wolf, Sylvain Bouix, Ofer Pasternak, Rene S Kahn, Carrie E Bearden, John M Kane, Patrick D McGorry, Kate Buccilli, Barnaby Nelson, Martha E Shenton, Scott W Woods, Alison R Yung","doi":"10.1038/s41537-025-00556-7","DOIUrl":"10.1038/s41537-025-00556-7","url":null,"abstract":"<p><p>Clinical ascertainment and clinical outcome are key features of any large multisite study. In the ProNET and PRESCIENT research networks, the Accelerating Medicines Partnership^® Schizophrenia (AMP^®SCZ) Clinical Ascertainment and Outcome Measures Team aimed to establish a harmonized clinical assessment protocol across these two research networks and to define ascertainment criteria and primary and secondary endpoints. In addition to developing the assessment protocol, the goals of this aspect of the AMP SCZ project were: (1) to implement and monitor clinical training, ascertainment of participants, and clinical assessments; (2) to provide expert clinical input to the Psychosis Risk Evaluation, Data Integration and Computational Technologies: Data Processing, Analysis, and Coordination Center (PREDICT-DPACC) for data collection, quality control, and preparation of data for the analysis of the clinical measures; and (3) to provide ongoing support to the collection, analysis, and reporting of clinical data. This paper describes the (1) protocol clinical endpoints and outcomes, (2) rationale for the selection of the clinical measures, (3) extensive training of clinical staff, (4) preparation of clinical measures for a multisite study which includes several sites where English is not the native language; and (5) the assessment of measure stability over time in the AMP SCZ observational study comparing clinical ratings at baseline and at the 2-month follow up. Watch Dr. Jean Addington discuss her work and this article: https://vimeo.com/1040425281 .</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"54"},"PeriodicalIF":3.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enabling FAIR data stewardship in complex international multi-site studies: Data Operations for the Accelerating Medicines Partnership® Schizophrenia Program.","authors":"Tashrif Billah, Kang Ik K Cho, Owen Borders, Yoonho Chung, Michaela Ennis, Grace R Jacobs, Einat Liebenthal, Daniel H Mathalon, Dheshan Mohandass, Spero C Nicholas, Ofer Pasternak, Nora Penzel, Habiballah Rahimi Eichi, Phillip Wolff, Alan Anticevic, Kristen Laulette, Angela R Nunez, Zailyn Tamayo, Kate Buccilli, Beau-Luke Colton, Dominic B Dwyer, Larry Hendricks, Hok Pan Yuen, Jessica Spark, Sophie Tod, Holly Carrington, Justine T Chen, Michael J Coleman, Cheryl M Corcoran, Anastasia Haidar, Omar John, Sinead Kelly, Patricia J Marcy, Priya Matneja, Alessia McGowan, Susan E Ray, Simone Veale, Inge Winter-Van Rossum, Jean Addington, Kelly A Allott, Monica E Calkins, Scott R Clark, Ruben C Gur, Michael P Harms, Diana O Perkins, Kosha Ruparel, William S Stone, John Torous, Alison R Yung, Eirini Zoupou, Paolo Fusar-Poli, Vijay A Mittal, Jai L Shah, Daniel H Wolf, Guillermo Cecchi, Tina Kapur, Marek Kubicki, Kathryn Eve Lewandowski, Carrie E Bearden, Patrick D McGorry, René S Kahn, John M Kane, Barnaby Nelson, Scott W Woods, Martha E Shenton, Justin T Baker, Sylvain Bouix","doi":"10.1038/s41537-025-00560-x","DOIUrl":"10.1038/s41537-025-00560-x","url":null,"abstract":"<p><p>Modern research management, particularly for publicly funded studies, assumes a data governance model in which grantees are considered stewards rather than owners of important data sets. Thus, there is an expectation that collected data are shared as widely as possible with the general research community. This presents problems in complex studies that involve sensitive health information. The latter requires balancing participant privacy with the needs of the research community. Here, we report on the data operation ecosystem crafted for the Accelerating Medicines Partnership® Schizophrenia project, an international observational study of young individuals at clinical high risk for developing a psychotic disorder. We review data capture systems, data dictionaries, organization principles, data flow, security, quality control protocols, data visualization, monitoring, and dissemination through the NIMH Data Archive platform. We focus on the interconnectedness of these steps, where our goal is to design a seamless data flow and an alignment with the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles while balancing local regulatory and ethical considerations. This process-oriented approach leverages automated pipelines for data flow to enhance data quality, speed, and collaboration, underscoring the project's contribution to advancing research practices involving multisite studies of sensitive mental health conditions. An important feature is the data's close-to-real-time quality assessment (QA) and quality control (QC). The focus on close-to-real-time QA/QC makes it possible for a subject to redo a testing session, as well as facilitate course corrections to prevent repeating errors in future data acquisition. Watch Dr. Sylvain Bouix discuss his work and this article: https://vimeo.com/1025555648 .</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"55"},"PeriodicalIF":3.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}