Predictable information in neural signals during resting state is reduced in autism spectrum disorder-Reference-Cited by-同舟云学术

Predictable information in neural signals during resting state is reduced in autism spectrum disorder

Published:2018-04-04 Issue:8 Volume:39 Page:3227-3240
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain. Mapp.

Author:

Brodski‐Guerniero Alla¹^ORCID,Naumer Marcus J.²,Moliadze Vera³⁴,Chan Jason²³⁵,Althen Heike³,Ferreira‐Santos Fernando⁶^ORCID,Lizier Joseph T.⁷,Schlitt Sabine³,Kitzerow Janina³,Schütz Magdalena²³,Langer Anne²³,Kaiser Jochen²,Freitag Christine M.³,Wibral Michael¹

Affiliation:

1. MEG Unit, Brain Imaging CenterGoethe UniversityFrankfurt am Main Germany

2. Institute of Medical Psychology, Faculty of Medicine, Goethe UniversityFrankfurt am Main Germany

3. Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyAutism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe UniversityFrankfurt am Main Germany

4. Department of Medical Psychology and Medical SociologySchleswig‐Holstein University Hospital (UKSH), Christian‐Albrechts‐UniversityKiel Germany

5. School of Applied PsychologyUniversity College CorkCork Ireland

6. Laboratory of Neuropsychophysiology, Faculty of Psychology and Education SciencesUniversity of PortoPorto Portugal

7. Complex Systems Research Group and Centre for Complex Systems, Faculty of Engineering & ITThe University of Sydney New South Wales2006 Australia

Funder

EU Framework Programme for Research and Innovation H2020

German Academic Exchange Service

Australian Research Council

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24072

Reference89 articles.

1. Die „Autistischen Psychopathen” im Kindesalter

2. Diagnostic and Statistical Manual of Mental Disorders

3. The proactive brain: using analogies and associations to generate predictions

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