Overview of the clinical implementation of a study exploring social withdrawal in patients with schizophrenia and Alzheimer's disease

Autor: Brenda W.J.H. Penninx, Inge van Rossum, René S. Kahn, Nic J.A. van der Wee, Gerard R. Dawson, Martien J H Kas, Amy C. Bilderbeck, Celso Arango, Anke Post, Anja Hayen
Přispěvatelé: Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Digital Health, Kas lab
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Neuroscience & Biobehavioral Reviews, 97, 87. Elsevier Limited
Neuroscience and Biobehavioral Reviews, 97(2), 87-93. Elsevier Limited
Neuroscience & Biobehavioral Reviews
Neuroscience and Biobehavioral Reviews, 97, 87-93. PERGAMON-ELSEVIER SCIENCE LTD
Bilderbeck, A C, Penninx, B W J H, Arango, C, van der Wee, N, Kahn, R, Winter-van Rossum, I, Hayen, A, Kas, M J, Post, A & Dawson, G R 2019, ' Overview of the clinical implementation of a study exploring social withdrawal in patients with schizophrenia and Alzheimer's disease ', Neuroscience and Biobehavioral Reviews, vol. 97, no. 2, pp. 87-93 . https://doi.org/10.1016/j.neubiorev.2018.06.019
ISSN: 0149-7634
Popis: Trans-diagnostic, domain- or symptom-focused approaches have been heralded as advancing psychiatric research, but relatively few clinical research programmes have been undertaken to leverage their potential. In this manuscript we describe the approach and protocol for an exploratory study, PRISM (Psychiatric Ratings using Intermediate Stratified Markers), that will be conducted to explore the biomarkers in schizophrenia (SZ) and Alzheimer's Disease (AD) that may be related to a common symptom, social withdrawal. Patient participants (N = 72 SZ and N = 72 AD study completers), will complete a series of fMRI, EEG, and behavioural paradigms, as well as contributing blood-derived (e.g. epigenetic) and smartphone data related to social behaviour. Self- as well as caregiver- and researcher-reported assessments will be provided to characterise social withdrawal. Normative data will also be collected from a group of healthy controls (N = 48 study completers), half of whom will be matched in terms of age and gender distribution to the SZ and AD group, respectively. Thus we will explore both differentiation and cross-diagnostic overlap in the biomarkers associated with different levels of social withdrawal in SZ and AD. In this way we aim to provide a deeper understanding of the biological underpinnings of symptomatology common to both disorders, and provide insights into novel treatment targets and future drug development approaches.
Databáze: OpenAIRE