A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity

Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2018-05, Vol.172, p.506-516
Hauptverfasser: Takagi, Yu, Sakai, Yuki, Abe, Yoshinari, Nishida, Seiji, Harrison, Ben J., Martínez-Zalacaín, Ignacio, Soriano-Mas, Carles, Narumoto, Jin, Tanaka, Saori C.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 516
container_issue
container_start_page 506
container_title NeuroImage (Orlando, Fla.)
container_volume 172
creator Takagi, Yu
Sakai, Yuki
Abe, Yoshinari
Nishida, Seiji
Harrison, Ben J.
Martínez-Zalacaín, Ignacio
Soriano-Mas, Carles
Narumoto, Jin
Tanaka, Saori C.
description Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety. •Common brain networks among different dimensions of anxiety were investigated.•The state anxiety brain network was similarly represented across participants.•There was a common brain network for trait anxiety and state anxiety.•This common brain network was generalized to pathological anxiety.
doi_str_mv 10.1016/j.neuroimage.2018.01.080
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1999193893</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1053811918300806</els_id><sourcerecordid>2025741924</sourcerecordid><originalsourceid>FETCH-LOGICAL-c518t-b60a541fcc110cc480e3e942e7d426e28cccab219bdb80a129e458d29e9a1dc43</originalsourceid><addsrcrecordid>eNqFkU9v1DAQxSNERf_xFZAlLhyaMOM4u_axVECRKnFpz5bjTBYvib3YTst-e7zaAhIXTmOPf_PGeq-qGEKDgKv328bTEoObzYYaDigbwAYkvKjOEFRXq27NXx7OXVtLRHVanae0BQCFQr6qTrkSCLCWZ9V0zWyY5-BZH43zzFN-CvE7M6W1YSmbTFcsl6d8xYwf2M7kb2EKG2fNVBo_HeU9G2OY2VPpU31UGRdvswu-MDZ4T-Xy6PL-sjoZzZTo9XO9qB4-fby_ua3vvn7-cnN9V9sOZa77FZhO4GgtIlgrJFBLSnBaD4KviEtrrek5qn7oJRjkikQnh1KUwcGK9qJ6d9TdxfBjoZT17JKlaTKewpI0KqVQtVK1BX37D7oNSywfT5oD79YCFT8IyiNlY0gp0qh3sZgf9xpBHxLRW_03EX1IRAPqkkgZffO8YOlnGv4M_o6gAB-OABVHHh1Fnawjb2lwsRinh-D-v-UXKkOjXA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2025741924</pqid></control><display><type>article</type><title>A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><source>ProQuest Central UK/Ireland</source><creator>Takagi, Yu ; Sakai, Yuki ; Abe, Yoshinari ; Nishida, Seiji ; Harrison, Ben J. ; Martínez-Zalacaín, Ignacio ; Soriano-Mas, Carles ; Narumoto, Jin ; Tanaka, Saori C.</creator><creatorcontrib>Takagi, Yu ; Sakai, Yuki ; Abe, Yoshinari ; Nishida, Seiji ; Harrison, Ben J. ; Martínez-Zalacaín, Ignacio ; Soriano-Mas, Carles ; Narumoto, Jin ; Tanaka, Saori C.</creatorcontrib><description>Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety. •Common brain networks among different dimensions of anxiety were investigated.•The state anxiety brain network was similarly represented across participants.•There was a common brain network for trait anxiety and state anxiety.•This common brain network was generalized to pathological anxiety.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2018.01.080</identifier><identifier>PMID: 29410078</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Anxiety ; Anxiety - physiopathology ; Behavior disorders ; Brain - physiopathology ; Brain mapping ; Brain research ; Clinical trials ; Connectome - methods ; Data-driven approach ; Dimensional psychiatry ; Experiments ; Female ; Functional connectivity fMRI ; Functional magnetic resonance imaging ; Human connectome project ; Humans ; Hypotheses ; Machine learning ; Magnetic Resonance Imaging - methods ; Male ; Mental disorders ; Nerve Net - physiopathology ; Neural networks ; Neuroimaging ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Obsessive compulsive disorder ; R&amp;D ; Research &amp; development ; Studies ; Young Adult</subject><ispartof>NeuroImage (Orlando, Fla.), 2018-05, Vol.172, p.506-516</ispartof><rights>2018 The Authors</rights><rights>Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited May 15, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-b60a541fcc110cc480e3e942e7d426e28cccab219bdb80a129e458d29e9a1dc43</citedby><cites>FETCH-LOGICAL-c518t-b60a541fcc110cc480e3e942e7d426e28cccab219bdb80a129e458d29e9a1dc43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2025741924?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29410078$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Takagi, Yu</creatorcontrib><creatorcontrib>Sakai, Yuki</creatorcontrib><creatorcontrib>Abe, Yoshinari</creatorcontrib><creatorcontrib>Nishida, Seiji</creatorcontrib><creatorcontrib>Harrison, Ben J.</creatorcontrib><creatorcontrib>Martínez-Zalacaín, Ignacio</creatorcontrib><creatorcontrib>Soriano-Mas, Carles</creatorcontrib><creatorcontrib>Narumoto, Jin</creatorcontrib><creatorcontrib>Tanaka, Saori C.</creatorcontrib><title>A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety. •Common brain networks among different dimensions of anxiety were investigated.•The state anxiety brain network was similarly represented across participants.•There was a common brain network for trait anxiety and state anxiety.•This common brain network was generalized to pathological anxiety.</description><subject>Anxiety</subject><subject>Anxiety - physiopathology</subject><subject>Behavior disorders</subject><subject>Brain - physiopathology</subject><subject>Brain mapping</subject><subject>Brain research</subject><subject>Clinical trials</subject><subject>Connectome - methods</subject><subject>Data-driven approach</subject><subject>Dimensional psychiatry</subject><subject>Experiments</subject><subject>Female</subject><subject>Functional connectivity fMRI</subject><subject>Functional magnetic resonance imaging</subject><subject>Human connectome project</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Machine learning</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Mental disorders</subject><subject>Nerve Net - physiopathology</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Obsessive compulsive disorder</subject><subject>R&amp;D</subject><subject>Research &amp; development</subject><subject>Studies</subject><subject>Young Adult</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU9v1DAQxSNERf_xFZAlLhyaMOM4u_axVECRKnFpz5bjTBYvib3YTst-e7zaAhIXTmOPf_PGeq-qGEKDgKv328bTEoObzYYaDigbwAYkvKjOEFRXq27NXx7OXVtLRHVanae0BQCFQr6qTrkSCLCWZ9V0zWyY5-BZH43zzFN-CvE7M6W1YSmbTFcsl6d8xYwf2M7kb2EKG2fNVBo_HeU9G2OY2VPpU31UGRdvswu-MDZ4T-Xy6PL-sjoZzZTo9XO9qB4-fby_ua3vvn7-cnN9V9sOZa77FZhO4GgtIlgrJFBLSnBaD4KviEtrrek5qn7oJRjkikQnh1KUwcGK9qJ6d9TdxfBjoZT17JKlaTKewpI0KqVQtVK1BX37D7oNSywfT5oD79YCFT8IyiNlY0gp0qh3sZgf9xpBHxLRW_03EX1IRAPqkkgZffO8YOlnGv4M_o6gAB-OABVHHh1Fnawjb2lwsRinh-D-v-UXKkOjXA</recordid><startdate>20180515</startdate><enddate>20180515</enddate><creator>Takagi, Yu</creator><creator>Sakai, Yuki</creator><creator>Abe, Yoshinari</creator><creator>Nishida, Seiji</creator><creator>Harrison, Ben J.</creator><creator>Martínez-Zalacaín, Ignacio</creator><creator>Soriano-Mas, Carles</creator><creator>Narumoto, Jin</creator><creator>Tanaka, Saori C.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20180515</creationdate><title>A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity</title><author>Takagi, Yu ; Sakai, Yuki ; Abe, Yoshinari ; Nishida, Seiji ; Harrison, Ben J. ; Martínez-Zalacaín, Ignacio ; Soriano-Mas, Carles ; Narumoto, Jin ; Tanaka, Saori C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-b60a541fcc110cc480e3e942e7d426e28cccab219bdb80a129e458d29e9a1dc43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Anxiety</topic><topic>Anxiety - physiopathology</topic><topic>Behavior disorders</topic><topic>Brain - physiopathology</topic><topic>Brain mapping</topic><topic>Brain research</topic><topic>Clinical trials</topic><topic>Connectome - methods</topic><topic>Data-driven approach</topic><topic>Dimensional psychiatry</topic><topic>Experiments</topic><topic>Female</topic><topic>Functional connectivity fMRI</topic><topic>Functional magnetic resonance imaging</topic><topic>Human connectome project</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Machine learning</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Mental disorders</topic><topic>Nerve Net - physiopathology</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Neurosciences</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Obsessive compulsive disorder</topic><topic>R&amp;D</topic><topic>Research &amp; development</topic><topic>Studies</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Takagi, Yu</creatorcontrib><creatorcontrib>Sakai, Yuki</creatorcontrib><creatorcontrib>Abe, Yoshinari</creatorcontrib><creatorcontrib>Nishida, Seiji</creatorcontrib><creatorcontrib>Harrison, Ben J.</creatorcontrib><creatorcontrib>Martínez-Zalacaín, Ignacio</creatorcontrib><creatorcontrib>Soriano-Mas, Carles</creatorcontrib><creatorcontrib>Narumoto, Jin</creatorcontrib><creatorcontrib>Tanaka, Saori C.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Takagi, Yu</au><au>Sakai, Yuki</au><au>Abe, Yoshinari</au><au>Nishida, Seiji</au><au>Harrison, Ben J.</au><au>Martínez-Zalacaín, Ignacio</au><au>Soriano-Mas, Carles</au><au>Narumoto, Jin</au><au>Tanaka, Saori C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2018-05-15</date><risdate>2018</risdate><volume>172</volume><spage>506</spage><epage>516</epage><pages>506-516</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety. •Common brain networks among different dimensions of anxiety were investigated.•The state anxiety brain network was similarly represented across participants.•There was a common brain network for trait anxiety and state anxiety.•This common brain network was generalized to pathological anxiety.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>29410078</pmid><doi>10.1016/j.neuroimage.2018.01.080</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1053-8119
ispartof NeuroImage (Orlando, Fla.), 2018-05, Vol.172, p.506-516
issn 1053-8119
1095-9572
language eng
recordid cdi_proquest_miscellaneous_1999193893
source MEDLINE; Elsevier ScienceDirect Journals Complete; ProQuest Central UK/Ireland
subjects Anxiety
Anxiety - physiopathology
Behavior disorders
Brain - physiopathology
Brain mapping
Brain research
Clinical trials
Connectome - methods
Data-driven approach
Dimensional psychiatry
Experiments
Female
Functional connectivity fMRI
Functional magnetic resonance imaging
Human connectome project
Humans
Hypotheses
Machine learning
Magnetic Resonance Imaging - methods
Male
Mental disorders
Nerve Net - physiopathology
Neural networks
Neuroimaging
Neurosciences
NMR
Nuclear magnetic resonance
Obsessive compulsive disorder
R&D
Research & development
Studies
Young Adult
title A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T05%3A59%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20common%20brain%20network%20among%20state,%20trait,%20and%20pathological%20anxiety%20from%20whole-brain%20functional%20connectivity&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Takagi,%20Yu&rft.date=2018-05-15&rft.volume=172&rft.spage=506&rft.epage=516&rft.pages=506-516&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2018.01.080&rft_dat=%3Cproquest_cross%3E2025741924%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2025741924&rft_id=info:pmid/29410078&rft_els_id=S1053811918300806&rfr_iscdi=true