Literature DB >> 29949732

Working definitions, subjective and objective assessments and experimental paradigms in a study exploring social withdrawal in schizophrenia and Alzheimer's disease.

Nic J A van der Wee1, Amy C Bilderbeck2, Maria Cabello3, Jose L Ayuso-Mateos3, Ilja M J Saris4, Erik J Giltay5, Brenda W J H Penninx4, Celso Arango6, Anke Post7, Stefano Porcelli8.   

Abstract

Social withdrawal is one of the first and common signs of early social dysfunction in a number of important neuropsychiatric disorders, likely because of the enormous amount and complexity of brain processes required to initiate and maintain social relationships (Adolphs, 2009). The Psychiatric Ratings using Intermediate Stratified Markers (PRISM) project focusses on the shared and unique neurobiological basis of social withdrawal in schizophrenia, Alzheimer and depression. In this paper, we discuss the working definition of social withdrawal for this study and the selection of objective and subjective rating scales to assess social withdrawal chosen or adapted for this project. We also discuss the MRI and EEG paradigms selected to study the systems and neural circuitry thought to underlie social functioning and more particularly to be involved in social withdrawal in humans, such as the social perception and the social affiliation networks. A number of behavioral paradigms were selected to assess complementary aspects of social cognition. Also, a digital phenotyping method (a smartphone application) was chosen to obtain real-life data.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Digital phenotyping; EEG; MRI; Neurobiological and behavioral paradigms in schizophrenia, Alzheimer and depression; PRISM; Passive remote monitoring; Social withdrawal; Subjective and objective assessments

Mesh:

Year:  2018        PMID: 29949732     DOI: 10.1016/j.neubiorev.2018.06.020

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  6 in total

1.  Determining sample size and length of follow-up for smartphone-based digital phenotyping studies.

Authors:  Ian Barnett; John Torous; Harrison T Reeder; Justin Baker; Jukka-Pekka Onnela
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

2.  Factors Related to Passive Social Withdrawal and Active Social Avoidance in Schizophrenia.

Authors:  Emily A Farina; Michal Assaf; Silvia Corbera; Chi-Ming Chen
Journal:  J Nerv Ment Dis       Date:  2022-03-07       Impact factor: 1.899

3.  Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study.

Authors:  Marijn Muurling; Lianne M Reus; Casper de Boer; Sterre C Wessels; Raj R Jagesar; Jacob A S Vorstman; Martien J H Kas; Pieter Jelle Visser
Journal:  JMIR Aging       Date:  2022-05-20

4.  MMP9 modulation improves specific neurobehavioral deficits in a mouse model of Alzheimer's disease.

Authors:  Charis Ringland; Jonas Elias Schweig; Maxwell Eisenbaum; Daniel Paris; Ghania Ait-Ghezala; Michael Mullan; Fiona Crawford; Laila Abdullah; Corbin Bachmeier
Journal:  BMC Neurosci       Date:  2021-05-25       Impact factor: 3.288

5.  Cross-disorder and disorder-specific deficits in social functioning among schizophrenia and alzheimer's disease patients.

Authors:  Ilja M J Saris; Moji Aghajani; Niels Jongs; Lianne M Reus; Nic J A van der Wee; Amy C Bilderbeck; Inge Winter van Rossum; Celso Arango; Alejandro de la Torre-Luque; Asad Malik; Andreea Raslescu; Gerard R Dawson; José L Ayuso-Mateos; Martien J Kas; Brenda W J H Penninx
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.752

6.  Social withdrawal and neurocognitive correlates in schizophrenia.

Authors:  Domenico De Donatis; Stefano Porcelli; Diana De Ronchi; Emilio Merlo Pich; Martien J Kas; Amy Bilderbeck; Alessandro Serretti
Journal:  Int Clin Psychopharmacol       Date:  2022-05-01       Impact factor: 2.023

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.