Connectomics in psychiatric research: advances and applications

Miao Cao,* Zhijiang Wang,* Yong He State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People’s Republic of China *These authors contributed equally to this work Abstract: Psychiatric disord...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Cao M, Wang Z, He Y
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://doaj.org/article/d0063c809afc4cccb54ee0ea28b2973f
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:d0063c809afc4cccb54ee0ea28b2973f
record_format dspace
spelling oai:doaj.org-article:d0063c809afc4cccb54ee0ea28b2973f2021-12-02T04:36:41ZConnectomics in psychiatric research: advances and applications1178-2021https://doaj.org/article/d0063c809afc4cccb54ee0ea28b2973f2015-10-01T00:00:00Zhttps://www.dovepress.com/connectomics-in-psychiatric-research-advances-and-applications-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Miao Cao,* Zhijiang Wang,* Yong He State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People’s Republic of China *These authors contributed equally to this work Abstract: Psychiatric disorders disturb higher cognitive functions and severely compromise human health. However, the pathophysiological mechanisms underlying psychiatric disorders are very complex, and understanding these mechanisms remains a great challenge. Currently, many psychiatric disorders are hypothesized to reflect “faulty wiring” or aberrant connectivity in the brains. Imaging connectomics is arising as a promising methodological framework for describing the structural and functional connectivity patterns of the human brain. Recently, alterations of brain networks in the connectome have been reported in various psychiatric disorders, and these alterations may provide biomarkers for disease diagnosis and prognosis for the evaluation of treatment efficacy. Here, we summarize the current achievements in both the structural and functional connectomes in several major psychiatric disorders (eg, schizophrenia, attention-deficit/hyperactivity disorder, and autism) based on multi-modal neuroimaging data. We highlight the current progress in the identification of these alterations and the hypotheses concerning the aberrant brain networks in individuals with psychiatric disorders and discuss the research questions that might contribute to a further mechanistic understanding of these disorders from a connectomic perspective.Keywords: psychiatric disorders, connectome, graph theory, functional connectivity, structural connectivityCao MWang ZHe YDove Medical PressarticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2015, Iss default, Pp 2801-2810 (2015)
institution DOAJ
collection DOAJ
language EN
topic Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
spellingShingle Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Cao M
Wang Z
He Y
Connectomics in psychiatric research: advances and applications
description Miao Cao,* Zhijiang Wang,* Yong He State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People’s Republic of China *These authors contributed equally to this work Abstract: Psychiatric disorders disturb higher cognitive functions and severely compromise human health. However, the pathophysiological mechanisms underlying psychiatric disorders are very complex, and understanding these mechanisms remains a great challenge. Currently, many psychiatric disorders are hypothesized to reflect “faulty wiring” or aberrant connectivity in the brains. Imaging connectomics is arising as a promising methodological framework for describing the structural and functional connectivity patterns of the human brain. Recently, alterations of brain networks in the connectome have been reported in various psychiatric disorders, and these alterations may provide biomarkers for disease diagnosis and prognosis for the evaluation of treatment efficacy. Here, we summarize the current achievements in both the structural and functional connectomes in several major psychiatric disorders (eg, schizophrenia, attention-deficit/hyperactivity disorder, and autism) based on multi-modal neuroimaging data. We highlight the current progress in the identification of these alterations and the hypotheses concerning the aberrant brain networks in individuals with psychiatric disorders and discuss the research questions that might contribute to a further mechanistic understanding of these disorders from a connectomic perspective.Keywords: psychiatric disorders, connectome, graph theory, functional connectivity, structural connectivity
format article
author Cao M
Wang Z
He Y
author_facet Cao M
Wang Z
He Y
author_sort Cao M
title Connectomics in psychiatric research: advances and applications
title_short Connectomics in psychiatric research: advances and applications
title_full Connectomics in psychiatric research: advances and applications
title_fullStr Connectomics in psychiatric research: advances and applications
title_full_unstemmed Connectomics in psychiatric research: advances and applications
title_sort connectomics in psychiatric research: advances and applications
publisher Dove Medical Press
publishDate 2015
url https://doaj.org/article/d0063c809afc4cccb54ee0ea28b2973f
work_keys_str_mv AT caom connectomicsinpsychiatricresearchadvancesandapplications
AT wangz connectomicsinpsychiatricresearchadvancesandapplications
AT hey connectomicsinpsychiatricresearchadvancesandapplications
_version_ 1718401152027983872