Brain functional connectivity data enhance prediction of clinical outcome in youth at risk for psychosis
Year: 2019
Type: article
Study design: Observational Study
Abstract: = 0.46, p < .001). Influential predictors in this model included functional decline, verbal learning performance, a family history of psychosis, default-mode and frontoparietal within-network connectivity, and between-network connectivity among language, salience, dorsal attention, sensorimotor, and cerebellar networks. These findings suggest that brain changes reflected by alterations in functional connectivity may be useful for outcome prediction in the prodromal stage.
Source: NeuroImage Clinical
Institutions: Brigham and Women's Hospital, Beth Israel Deaconess Medical Center, Harvard University, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Boston University, Northeastern University, VA Boston Healthcare System, Florida Agricultural and Mechanical University, Shanghai Jiao Tong University, Shanghai Mental Health Center, Shanghai Key Laboratory of Psychotic Disorders
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,600
Awards: Next Generation Diffusion MRI Biomarkers for Prodromal Schizophrenia, G3290198296, Broadening the Investigation of Psychosis Prodrome to Different Cultural Groups, G48535731, G587482164, Brain Maturation and Vulnerability to Schizophrenia, The Prelude to Psychosis: Brain network analysis in emerging schizophrenia, Validating Biomarkers for the Prodrome and Transition to Psychosis in Shanghai
OpenAlex ID: W2990286050