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Items where Author is "Young, Jonathan"

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Number of items: 4.

Article

Lei, Du, Qin, Kun, Pinaya, Walter H. L., Young, Jonathan, van Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Vieira, Sandra, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip and Mechelli, Andrea (2022) Graph convolutional networks reveal network-level functional dysconnectivity in schizophrenia. Schizophrenia Bulletin, 48 (4). pp. 881-892. ISSN 1745-1701

Morgan, Sarah E., Young, Jonathan, Patel, Ameera X., Whitaker, Kirstie J., Scarpazza, Cristina, van Amelsvoort, Therese, Marcelis, Machteld, van Os, Jim, Donohoe, Gary, Mothersill, David, Corvin, Aiden, Arango, Celso, Mechelli, Andrea, van den Heuvel, Martijn, Kahn, Rene S., McGuire, Philip, Brammer, Michael and Bullmore, Edward T. (2021) Functional MRI connectivity accurately distinguishes cases with psychotic disorders from healthy controls, based on cortical features associated with neurodevelopment. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6 (12). pp. 1125-1134. ISSN 2451-9022

Lei, Du, Pinaya, Walter H. L., Young, Jonathan, van Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Vieira, Sandra, Huang, Xiaoqi, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip and Mechelli, Andrea (2020) Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual. Human Brain Mapping, 41 (5). pp. 1119-1135. ISSN 1097-0193

Lei, Du, Pinaya, Walter H. L., van Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Gill, Michael, Vieira, Sandra, Huang, Xiaoqi, Lui, Su, Scarpazza, Cristina, Young, Jonathan, Arango, Celso, Bullmore, Edward, Qiyong, Gong, McGuire, Philip and Mechelli, Andrea (2019) Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics. Psychological Medicine. ISSN 1469-8978 (In Press)

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