Dusan Hirjak , Sebastian Volkmer , Victor Pokorny , Vijay A. Mittal
{"title":"推进精神分裂症谱系障碍的感觉/精神运动领域:从临床观察到转化创新。","authors":"Dusan Hirjak , Sebastian Volkmer , Victor Pokorny , Vijay A. Mittal","doi":"10.1016/j.schres.2025.09.021","DOIUrl":null,"url":null,"abstract":"<div><div>Sensori-/psychomotor dysfunction has historically been an underrecognized domain in schizophrenia spectrum disorders (SSD), often overshadowed by a narrow focus on medication-induced side effects such as acute extrapyramidal motor symptoms, akathisia, dystonia, parkinsonism, and tardive dyskinesia. Two decades ago, research in this area was largely confined to these pharmacologically related phenomena, as well as to neurological soft signs (NSS) and catatonia. In the last ten years, however, the sensori-/psychomotor domain has garnered renewed interest as a core feature of SSD—relevant not only for symptom profiling but also for early detection, prognostic stratification, and individualized treatment planning across the lifespan. This narrative review synthesizes major advances from the past five years across Psychiatry, Neuroscience, Human Movement Science, and Affective Computing. It highlights a paradigm shift from traditional hand-based sensori-/psychomotor assessments toward novel, scalable approaches for investigating sensori-/psychomotor dysfunction. Emerging tools—such as actigraphy, 3D motion capture systems, standardized sensorimotor tasks, and multimodal neuroimaging—now allow for more objective, multimodal assessment of sensori-/psychomotor behavior, including gesture dynamics and patterns of physical inactivity. In parallel, computational innovations have enabled the large-scale analysis of sensori-/psychomotor abnormalities, including retrospective mining of unstructured clinical notes through natural language processing and machine learning techniques. Together, these developments underscore the shifting view of sensori-/psychomotor dysfunction as more than behavioral epiphenomena or drug effects. We argue that the integration of emerging technologies and refined methodologies into clinical workflows is essential for translating research findings into personalized, real-world care of mental disorders across the lifespan.</div></div>","PeriodicalId":21417,"journal":{"name":"Schizophrenia Research","volume":"285 ","pages":"Pages 185-195"},"PeriodicalIF":3.5000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing the sensori-/psychomotor domain in schizophrenia spectrum disorders: From clinical observation to translational innovation\",\"authors\":\"Dusan Hirjak , Sebastian Volkmer , Victor Pokorny , Vijay A. 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It highlights a paradigm shift from traditional hand-based sensori-/psychomotor assessments toward novel, scalable approaches for investigating sensori-/psychomotor dysfunction. Emerging tools—such as actigraphy, 3D motion capture systems, standardized sensorimotor tasks, and multimodal neuroimaging—now allow for more objective, multimodal assessment of sensori-/psychomotor behavior, including gesture dynamics and patterns of physical inactivity. In parallel, computational innovations have enabled the large-scale analysis of sensori-/psychomotor abnormalities, including retrospective mining of unstructured clinical notes through natural language processing and machine learning techniques. Together, these developments underscore the shifting view of sensori-/psychomotor dysfunction as more than behavioral epiphenomena or drug effects. 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Advancing the sensori-/psychomotor domain in schizophrenia spectrum disorders: From clinical observation to translational innovation
Sensori-/psychomotor dysfunction has historically been an underrecognized domain in schizophrenia spectrum disorders (SSD), often overshadowed by a narrow focus on medication-induced side effects such as acute extrapyramidal motor symptoms, akathisia, dystonia, parkinsonism, and tardive dyskinesia. Two decades ago, research in this area was largely confined to these pharmacologically related phenomena, as well as to neurological soft signs (NSS) and catatonia. In the last ten years, however, the sensori-/psychomotor domain has garnered renewed interest as a core feature of SSD—relevant not only for symptom profiling but also for early detection, prognostic stratification, and individualized treatment planning across the lifespan. This narrative review synthesizes major advances from the past five years across Psychiatry, Neuroscience, Human Movement Science, and Affective Computing. It highlights a paradigm shift from traditional hand-based sensori-/psychomotor assessments toward novel, scalable approaches for investigating sensori-/psychomotor dysfunction. Emerging tools—such as actigraphy, 3D motion capture systems, standardized sensorimotor tasks, and multimodal neuroimaging—now allow for more objective, multimodal assessment of sensori-/psychomotor behavior, including gesture dynamics and patterns of physical inactivity. In parallel, computational innovations have enabled the large-scale analysis of sensori-/psychomotor abnormalities, including retrospective mining of unstructured clinical notes through natural language processing and machine learning techniques. Together, these developments underscore the shifting view of sensori-/psychomotor dysfunction as more than behavioral epiphenomena or drug effects. We argue that the integration of emerging technologies and refined methodologies into clinical workflows is essential for translating research findings into personalized, real-world care of mental disorders across the lifespan.
期刊介绍:
As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership!
Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue.
The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.