Matthew R. Broome on Muck Rack

Matthew R. Broome

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As seen in: Nature, Wiley Online Library, PLOS ONE, MDPI, SAGE Publishing, The Lancet, Times Higher Education, FormulaTV, BJPsych Advances, The British Journal of Psychiatry
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Articles

Delusion as embodied emotion: a qualitatively driven, multimethod study of first-episode psychosis in the UK

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By Rosa Ritunnano, Barnaby Nelson, Clara Humpston, Matthew R. Broome
| The Lancet Verified
ArticlesOnline firstOpen access aInstitute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK bCentre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia cDepartment of Linguistics and Communication, University of Birmingham, Birmingham, UK dOrygen, Parkville, VIC, Australia eDepartment of Psychology, University of York, York, UK fEarly Intervention in Psychosis Service, Birmingham and Solihull Mental Health NHS Foundation Trust,...
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Collecting language, speech acoustics, and facial expression to predict psychosis and other clinical outcomes: strategies from the AMP® SCZ initiative | Schizophrenia

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By Eduardo Castro, Carla Agurto, Jean Addington, Luis Alameda, Celso Arango, Matthew R. Broome, Kristin Cadenhead, Pablo A. Gaspar, Joseph Kambeitz, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Covadonga M Díaz-Caneja, Daniel H. Mathalon, Vijay A. Mittal, Diana O Perkins, Jai Shah, Steven Silverstein, William Stone, Walid Yassin, Rachel Upthegrove, Jijun Wang, Daniel Wolf, René S. Kahn, Carrie E. Bearden, Dominic B. Dwyer, Sylvain Bouix, Martha E. Shenton, Scott Woods, Guillermo Cecchi, Cheryl Corcoran, Zarina R. Bilgrami
| Nature Verified
Abstract Speech-based detection of early psychosis is progressing at a rapid pace. Within this evolving field, the Accelerating Medicines Partnership® in Schizophrenia (AMP® SCZ) is uniquely positioned to deepen our understanding of how language and related behaviors reflect early psychosis. We begin with detailed standard operating procedures (SOPs) that govern every stage of collection.
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Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program - Schizophrenia

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By Dominic B. Dwyer, Kang-Ik K. Cho, Jean Addington, Luis Alameda, Matthew R. Broome, Monica E. Calkins, Cheryl Corcoran, Covadonga M Díaz-Caneja, Pablo A. Gaspar, Joseph Kambeitz, Sung-Wan Kim, Nikolaos Koutsouleris, Daniel H. Mathalon, Vijay A. Mittal, Diana O Perkins, Jai Shah, Steven Silverstein, Walid Yassin, William Stone, Daniel Wolf, Simon D’Alfonso, Sylvain Bouix, Carrie E. Bearden, Scott Woods, Martha E. Shenton
| Nature Verified
Abstract Although meta-analytic studies have shown that 25-33% of those at Clinical High Risk (CHR) for psychosis transition to a first episode of psychosis within three years, less is known about estimating the risk of transition at an individual level. Digital phenotyping offers a novel approach to explore the nature of CHR and may help to improve personalized risk prediction.
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