Psychiatry - Research Publications

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Type: Abstract × Start date: 2014 × End date: 2020 ×

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Now showing 1 - 5 of 5
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    Cerebrovascular disease, Alzheimer's disease biomarkers and longitudinal cognitive decline
    Yates, PA ; Villemagne, VL ; Ames, D ; Masters, CL ; Martins, RN ; Desmond, P ; Burnham, S ; Maruff, P ; Ellis, KA ; Rowe, CC (WILEY-BLACKWELL, 2016-06)
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    FRONTOSTRIATAL CONNECTIVITY IN TREATMENT-RESISTANT SCHIZOPHRENIA: RELATIONSHIP TO POSITIVE SYMPTOMS AND COGNITIVE FLEXIBILITY
    Cropley, V ; Ganella, E ; Wannan, C ; Zalesky, A ; Van Rheenen, T ; Bousman, C ; Everall, I ; Fornito, A ; Pantelis, C (OXFORD UNIV PRESS, 2018-04)
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    Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD working group
    Leerssen, J ; Blanken, TF ; Pozzi, E ; Jahanshad, N ; Aftanas, L ; Andreassen, OA ; Baune, BT ; Ching, CRK ; Dannlowski, U ; Frodl, T ; Godlewska, BR ; Gotlib, IH ; Grotegerd, D ; Gruber, O ; Hatton, SN ; Hickie, IB ; Jaworska, N ; Kircher, T ; Krug, A ; Lagopoulos, J ; Li, M ; MacMaster, FP ; McIntosh, AM ; Mwangi, B ; Osipov, E ; Portella, MJ ; Sacchet, MD ; Samann, PG ; Simulionyte, E ; Soares, JC ; Walter, M ; Whalley, HC ; Veltman, DJ ; Thompson, PM ; Schmaal, L ; Van Someren, EJW (WILEY, 2020-09)
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    Psychosocial recovery after serious injury
    O'Donnell, M (TAYLOR & FRANCIS LTD, 2014)
    BACKGROUND: The 2010 iteration of the Global Burden of Disease statistics (Murray et al., 2012) points to the growing impact of injury and highlights the mounting burden of psychiatric disorder. It is essential to examine the intersection between these two contributors to disease burden. METHODS: The Australian Injury Vulnerability Study collected data of over 1,000 injury patients from their initial hospitalization to 6 years post-injury. Structured clinical interviews were used to diagnose psychiatric disorder and self-report measures for disability and symptom severity. RESULTS: A wide range of psychiatric disorders developed following injury, which included posttraumatic stress disorder, agoraphobia, depression, and substance use disorders (Bryant, O'Donnell, Creamer, Silove, & McFarlane, 2010). Although prevalence rates for these disorders were generally consistent over time, examination of trajectory data showed that different people had the disorders at different times. Importantly, the data showed that early anxiety, depression, and PTSD symptoms played a significant role in the development of long term disability after injury (Carty, O'Donnell, Evans, Kazantzis, & Creamer, 2011; O'Donnell et al., 2013). CONCLUSIONS: These data support the view that transdiagnostic models for early intervention may be required to address the complex psychiatric disorder trajectories that develop after injury.
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    Brain Rehabilitation Assessment and InterventioN (BRAIN): Delivering Efficacious Training at Home
    Hallock, H ; Lampit, A ; Kuchling, J ; Finke, C (IEEE, 2019-07-01)
    Computerised cognitive training is an efficacious strategy for cognitive impairment across the lifespan and neurodegenerative disorders, a pressing and unmet public health challenge. Yet efficacy is strongly related to key intervention design factors, and we currently do not have the tools to deliver clinical-grade cognitive training at scale. BRAIN, a digital diagnostic and rehabilitation tool, aims to close this implementation gap by facilitating remote clinician-led assessment, training monitoring of cognitive performance using novel personalization and communication solutions.