The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder
Autism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, alt...
Gespeichert in:
| Veröffentlicht in: | Biological psychiatry (1969) 2019-08, Vol.86 (4), p.315-326 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 326 |
|---|---|
| container_issue | 4 |
| container_start_page | 315 |
| container_title | Biological psychiatry (1969) |
| container_volume | 86 |
| creator | Lake, Evelyn M.R. Finn, Emily S. Noble, Stephanie M. Vanderwal, Tamara Shen, Xilin Rosenberg, Monica D. Spann, Marisa N. Chun, Marvin M. Scheinost, Dustin Constable, R. Todd |
| description | Autism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined.
Using individuals from the Autism Brain Imaging Data Exchange and ADHD-200, we apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state functional magnetic resonance imaging data to identify brain–behavior associations that are predictive of symptom severity. We examine cross-diagnostic commonalities and differences.
Using leave-one-subject-out and split-half analyses, we define networks that predict Social Responsiveness Scale, Autism Diagnostic Observation Schedule, and ADHD Rating Scale scores and confirm that these networks generalize to novel subjects. Networks share minimal overlap of edges ( |
| doi_str_mv | 10.1016/j.biopsych.2019.02.019 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7311928</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0006322319301477</els_id><sourcerecordid>2213151907</sourcerecordid><originalsourceid>FETCH-LOGICAL-c537t-68fe4cd306b92ce8b639df9823cad360998082d1b4c596b249643260aecfff2d3</originalsourceid><addsrcrecordid>eNqFkd9u0zAUxiMEYmXwClMuuUnmP6mT3CDKxtikoSFRri3HPmlPldrFdjqVl-IVcdR1giuujn38O9935C_LLigpKaHiclN26HbhoNclI7QtCStTeZHNaFPzglWEvcxmhBBRcMb4WfYmhE261ozR19kZTxpk3pBZ9nu5hvxmtDqis2rIP3mFNn_wK2Xxl5qauetzZfM7a3CPZkzMYhjcY8i_eTCoT8hXUGH0EKbzd6dx4jocMGLqLb2ywaBaWRciajUMhzzZLMaIYZvUTb6IEeykVVxDjxrj5e1hB14l_T3GQ36NwXkD_m32qldDgHdP9Tz7cfN5eXVb3D98ubta3Bd6zutYiKaHShtORNcyDU0neGv6tmFcK8MFaduGNMzQrtLzVnSsakXFmSAKdN_3zPDz7MNRdzd2WzA6LefVIHcet8ofpFMo_32xuJYrt5c1p7RlTRJ4_yTg3c8RQpRbDBqGQVlwY5ApCE7ntCV1QsUR1d6F4KF_tqFETmnLjTylLae0JWEylTR48feSz2OneBPw8QhA-qo9gpdBI1idgvOgozQO_-fxBzz7xNE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2213151907</pqid></control><display><type>article</type><title>The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Lake, Evelyn M.R. ; Finn, Emily S. ; Noble, Stephanie M. ; Vanderwal, Tamara ; Shen, Xilin ; Rosenberg, Monica D. ; Spann, Marisa N. ; Chun, Marvin M. ; Scheinost, Dustin ; Constable, R. Todd</creator><creatorcontrib>Lake, Evelyn M.R. ; Finn, Emily S. ; Noble, Stephanie M. ; Vanderwal, Tamara ; Shen, Xilin ; Rosenberg, Monica D. ; Spann, Marisa N. ; Chun, Marvin M. ; Scheinost, Dustin ; Constable, R. Todd</creatorcontrib><description>Autism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined.
Using individuals from the Autism Brain Imaging Data Exchange and ADHD-200, we apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state functional magnetic resonance imaging data to identify brain–behavior associations that are predictive of symptom severity. We examine cross-diagnostic commonalities and differences.
Using leave-one-subject-out and split-half analyses, we define networks that predict Social Responsiveness Scale, Autism Diagnostic Observation Schedule, and ADHD Rating Scale scores and confirm that these networks generalize to novel subjects. Networks share minimal overlap of edges (<2%) but some common regions of high hubness (Brodmann areas 10, 11, and 21, cerebellum, and thalamus). Further, predicted Social Responsiveness Scale scores for individuals with ADHD are linked to ADHD symptoms, supporting the hypothesis that brain organization relevant to autism spectrum disorder severity shares a component associated with attention in ADHD. Predictive connections and high-hubness regions are found within a wide range of brain areas and across conventional networks.
An individual's functional connectivity profile contains information that supports dimensional, nonbinary classification in autism spectrum disorder and ADHD. Furthermore, we can determine disorder-specific and shared neurofunctional pathology using our method.</description><identifier>ISSN: 0006-3223</identifier><identifier>EISSN: 1873-2402</identifier><identifier>DOI: 10.1016/j.biopsych.2019.02.019</identifier><identifier>PMID: 31010580</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>ADHD ; Attention Deficit Disorder with Hyperactivity - diagnostic imaging ; Attention Deficit Disorder with Hyperactivity - physiopathology ; Autism spectrum disorder ; Autism Spectrum Disorder - diagnostic imaging ; Autism Spectrum Disorder - physiopathology ; Cerebral Cortex - diagnostic imaging ; Cerebral Cortex - physiopathology ; Connectome ; Female ; Functional connectivity ; Functional MRI ; Humans ; Linear Models ; Magnetic Resonance Imaging ; Male ; Nerve Net - diagnostic imaging ; Nerve Net - physiopathology ; Predictive modeling ; Social Skills</subject><ispartof>Biological psychiatry (1969), 2019-08, Vol.86 (4), p.315-326</ispartof><rights>2019 Society of Biological Psychiatry</rights><rights>Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c537t-68fe4cd306b92ce8b639df9823cad360998082d1b4c596b249643260aecfff2d3</citedby><cites>FETCH-LOGICAL-c537t-68fe4cd306b92ce8b639df9823cad360998082d1b4c596b249643260aecfff2d3</cites><orcidid>0000-0002-8774-9430</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biopsych.2019.02.019$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31010580$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lake, Evelyn M.R.</creatorcontrib><creatorcontrib>Finn, Emily S.</creatorcontrib><creatorcontrib>Noble, Stephanie M.</creatorcontrib><creatorcontrib>Vanderwal, Tamara</creatorcontrib><creatorcontrib>Shen, Xilin</creatorcontrib><creatorcontrib>Rosenberg, Monica D.</creatorcontrib><creatorcontrib>Spann, Marisa N.</creatorcontrib><creatorcontrib>Chun, Marvin M.</creatorcontrib><creatorcontrib>Scheinost, Dustin</creatorcontrib><creatorcontrib>Constable, R. Todd</creatorcontrib><title>The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder</title><title>Biological psychiatry (1969)</title><addtitle>Biol Psychiatry</addtitle><description>Autism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined.
Using individuals from the Autism Brain Imaging Data Exchange and ADHD-200, we apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state functional magnetic resonance imaging data to identify brain–behavior associations that are predictive of symptom severity. We examine cross-diagnostic commonalities and differences.
Using leave-one-subject-out and split-half analyses, we define networks that predict Social Responsiveness Scale, Autism Diagnostic Observation Schedule, and ADHD Rating Scale scores and confirm that these networks generalize to novel subjects. Networks share minimal overlap of edges (<2%) but some common regions of high hubness (Brodmann areas 10, 11, and 21, cerebellum, and thalamus). Further, predicted Social Responsiveness Scale scores for individuals with ADHD are linked to ADHD symptoms, supporting the hypothesis that brain organization relevant to autism spectrum disorder severity shares a component associated with attention in ADHD. Predictive connections and high-hubness regions are found within a wide range of brain areas and across conventional networks.
An individual's functional connectivity profile contains information that supports dimensional, nonbinary classification in autism spectrum disorder and ADHD. Furthermore, we can determine disorder-specific and shared neurofunctional pathology using our method.</description><subject>ADHD</subject><subject>Attention Deficit Disorder with Hyperactivity - diagnostic imaging</subject><subject>Attention Deficit Disorder with Hyperactivity - physiopathology</subject><subject>Autism spectrum disorder</subject><subject>Autism Spectrum Disorder - diagnostic imaging</subject><subject>Autism Spectrum Disorder - physiopathology</subject><subject>Cerebral Cortex - diagnostic imaging</subject><subject>Cerebral Cortex - physiopathology</subject><subject>Connectome</subject><subject>Female</subject><subject>Functional connectivity</subject><subject>Functional MRI</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Nerve Net - diagnostic imaging</subject><subject>Nerve Net - physiopathology</subject><subject>Predictive modeling</subject><subject>Social Skills</subject><issn>0006-3223</issn><issn>1873-2402</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkd9u0zAUxiMEYmXwClMuuUnmP6mT3CDKxtikoSFRri3HPmlPldrFdjqVl-IVcdR1giuujn38O9935C_LLigpKaHiclN26HbhoNclI7QtCStTeZHNaFPzglWEvcxmhBBRcMb4WfYmhE261ozR19kZTxpk3pBZ9nu5hvxmtDqis2rIP3mFNn_wK2Xxl5qauetzZfM7a3CPZkzMYhjcY8i_eTCoT8hXUGH0EKbzd6dx4jocMGLqLb2ywaBaWRciajUMhzzZLMaIYZvUTb6IEeykVVxDjxrj5e1hB14l_T3GQ36NwXkD_m32qldDgHdP9Tz7cfN5eXVb3D98ubta3Bd6zutYiKaHShtORNcyDU0neGv6tmFcK8MFaduGNMzQrtLzVnSsakXFmSAKdN_3zPDz7MNRdzd2WzA6LefVIHcet8ofpFMo_32xuJYrt5c1p7RlTRJ4_yTg3c8RQpRbDBqGQVlwY5ApCE7ntCV1QsUR1d6F4KF_tqFETmnLjTylLae0JWEylTR48feSz2OneBPw8QhA-qo9gpdBI1idgvOgozQO_-fxBzz7xNE</recordid><startdate>20190815</startdate><enddate>20190815</enddate><creator>Lake, Evelyn M.R.</creator><creator>Finn, Emily S.</creator><creator>Noble, Stephanie M.</creator><creator>Vanderwal, Tamara</creator><creator>Shen, Xilin</creator><creator>Rosenberg, Monica D.</creator><creator>Spann, Marisa N.</creator><creator>Chun, Marvin M.</creator><creator>Scheinost, Dustin</creator><creator>Constable, R. Todd</creator><general>Elsevier Inc</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8774-9430</orcidid></search><sort><creationdate>20190815</creationdate><title>The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder</title><author>Lake, Evelyn M.R. ; Finn, Emily S. ; Noble, Stephanie M. ; Vanderwal, Tamara ; Shen, Xilin ; Rosenberg, Monica D. ; Spann, Marisa N. ; Chun, Marvin M. ; Scheinost, Dustin ; Constable, R. Todd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c537t-68fe4cd306b92ce8b639df9823cad360998082d1b4c596b249643260aecfff2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>ADHD</topic><topic>Attention Deficit Disorder with Hyperactivity - diagnostic imaging</topic><topic>Attention Deficit Disorder with Hyperactivity - physiopathology</topic><topic>Autism spectrum disorder</topic><topic>Autism Spectrum Disorder - diagnostic imaging</topic><topic>Autism Spectrum Disorder - physiopathology</topic><topic>Cerebral Cortex - diagnostic imaging</topic><topic>Cerebral Cortex - physiopathology</topic><topic>Connectome</topic><topic>Female</topic><topic>Functional connectivity</topic><topic>Functional MRI</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Nerve Net - physiopathology</topic><topic>Predictive modeling</topic><topic>Social Skills</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lake, Evelyn M.R.</creatorcontrib><creatorcontrib>Finn, Emily S.</creatorcontrib><creatorcontrib>Noble, Stephanie M.</creatorcontrib><creatorcontrib>Vanderwal, Tamara</creatorcontrib><creatorcontrib>Shen, Xilin</creatorcontrib><creatorcontrib>Rosenberg, Monica D.</creatorcontrib><creatorcontrib>Spann, Marisa N.</creatorcontrib><creatorcontrib>Chun, Marvin M.</creatorcontrib><creatorcontrib>Scheinost, Dustin</creatorcontrib><creatorcontrib>Constable, R. Todd</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biological psychiatry (1969)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lake, Evelyn M.R.</au><au>Finn, Emily S.</au><au>Noble, Stephanie M.</au><au>Vanderwal, Tamara</au><au>Shen, Xilin</au><au>Rosenberg, Monica D.</au><au>Spann, Marisa N.</au><au>Chun, Marvin M.</au><au>Scheinost, Dustin</au><au>Constable, R. Todd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder</atitle><jtitle>Biological psychiatry (1969)</jtitle><addtitle>Biol Psychiatry</addtitle><date>2019-08-15</date><risdate>2019</risdate><volume>86</volume><issue>4</issue><spage>315</spage><epage>326</epage><pages>315-326</pages><issn>0006-3223</issn><eissn>1873-2402</eissn><abstract>Autism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined.
Using individuals from the Autism Brain Imaging Data Exchange and ADHD-200, we apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state functional magnetic resonance imaging data to identify brain–behavior associations that are predictive of symptom severity. We examine cross-diagnostic commonalities and differences.
Using leave-one-subject-out and split-half analyses, we define networks that predict Social Responsiveness Scale, Autism Diagnostic Observation Schedule, and ADHD Rating Scale scores and confirm that these networks generalize to novel subjects. Networks share minimal overlap of edges (<2%) but some common regions of high hubness (Brodmann areas 10, 11, and 21, cerebellum, and thalamus). Further, predicted Social Responsiveness Scale scores for individuals with ADHD are linked to ADHD symptoms, supporting the hypothesis that brain organization relevant to autism spectrum disorder severity shares a component associated with attention in ADHD. Predictive connections and high-hubness regions are found within a wide range of brain areas and across conventional networks.
An individual's functional connectivity profile contains information that supports dimensional, nonbinary classification in autism spectrum disorder and ADHD. Furthermore, we can determine disorder-specific and shared neurofunctional pathology using our method.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>31010580</pmid><doi>10.1016/j.biopsych.2019.02.019</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8774-9430</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0006-3223 |
| ispartof | Biological psychiatry (1969), 2019-08, Vol.86 (4), p.315-326 |
| issn | 0006-3223 1873-2402 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7311928 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | ADHD Attention Deficit Disorder with Hyperactivity - diagnostic imaging Attention Deficit Disorder with Hyperactivity - physiopathology Autism spectrum disorder Autism Spectrum Disorder - diagnostic imaging Autism Spectrum Disorder - physiopathology Cerebral Cortex - diagnostic imaging Cerebral Cortex - physiopathology Connectome Female Functional connectivity Functional MRI Humans Linear Models Magnetic Resonance Imaging Male Nerve Net - diagnostic imaging Nerve Net - physiopathology Predictive modeling Social Skills |
| title | The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T07%3A31%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Functional%20Brain%20Organization%20of%20an%20Individual%20Allows%20Prediction%20of%20Measures%20of%20Social%20Abilities%20Transdiagnostically%20in%20Autism%20and%20Attention-Deficit/Hyperactivity%20Disorder&rft.jtitle=Biological%20psychiatry%20(1969)&rft.au=Lake,%20Evelyn%20M.R.&rft.date=2019-08-15&rft.volume=86&rft.issue=4&rft.spage=315&rft.epage=326&rft.pages=315-326&rft.issn=0006-3223&rft.eissn=1873-2402&rft_id=info:doi/10.1016/j.biopsych.2019.02.019&rft_dat=%3Cproquest_pubme%3E2213151907%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2213151907&rft_id=info:pmid/31010580&rft_els_id=S0006322319301477&rfr_iscdi=true |