Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression
Background Neuroimaging studies of patients with major depression have revealed abnormal intrinsic functional connectivity measured during the resting state in multiple distributed networks. However, it is unclear whether these findings reflect the state of major depression or reflect trait neurobi...
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/112654 https://orcid.org/0000-0002-5946-1069 https://orcid.org/0000-0001-8099-2721 https://orcid.org/0000-0003-1158-5692 |
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| author | Hirshfeld-Becker, Dina Biederman, Joseph Uchida, Mai Kenworthy, Tara Brown, Ariel Kagan, Elana Chai, Xiaoqian Doehrmann, Oliver Leonard, Julia Salvatore, John J. de los Angeles, Carlo S Gabrieli, John D. E. Whitfield-Gabrieli, Susan |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Hirshfeld-Becker, Dina Biederman, Joseph Uchida, Mai Kenworthy, Tara Brown, Ariel Kagan, Elana Chai, Xiaoqian Doehrmann, Oliver Leonard, Julia Salvatore, John J. de los Angeles, Carlo S Gabrieli, John D. E. Whitfield-Gabrieli, Susan |
| author_sort | Hirshfeld-Becker, Dina |
| collection | MIT |
| description | Background Neuroimaging studies of patients with major depression have revealed abnormal intrinsic functional connectivity measured during the resting state in multiple distributed networks. However, it is unclear whether these findings reflect the state of major depression or reflect trait neurobiological underpinnings of risk for major depression. Methods We compared resting-state functional connectivity, measured with functional magnetic resonance imaging, between unaffected children of parents who had documented histories of major depression (at-risk, n = 27; 8–14 years of age) and age-matched children of parents with no lifetime history of depression (control subjects, n = 16). Results At-risk children exhibited hyperconnectivity between the default mode network and subgenual anterior cingulate cortex/orbital frontal cortex, and the magnitude of connectivity positively correlated with individual symptom scores. At-risk children also exhibited 1) hypoconnectivity within the cognitive control network, which also lacked the typical anticorrelation with the default mode network; 2) hypoconnectivity between left dorsolateral prefrontal cortex and subgenual anterior cingulate cortex; and 3) hyperconnectivity between the right amygdala and right inferior frontal gyrus, a key region for top-down modulation of emotion. Classification between at-risk children and control subjects based on resting-state connectivity yielded high accuracy with high sensitivity and specificity that was superior to clinical rating scales. Conclusions Children at familial risk for depression exhibited atypical functional connectivity in the default mode, cognitive control, and affective networks. Such task-independent functional brain measures of risk for depression in children could be used to promote early intervention to reduce the likelihood of developing depression. |
| first_indexed | 2024-09-23T17:11:02Z |
| format | Article |
| id | mit-1721.1/112654 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T17:11:02Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1126542022-10-03T11:00:38Z Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression Hirshfeld-Becker, Dina Biederman, Joseph Uchida, Mai Kenworthy, Tara Brown, Ariel Kagan, Elana Chai, Xiaoqian Doehrmann, Oliver Leonard, Julia Salvatore, John J. de los Angeles, Carlo S Gabrieli, John D. E. Whitfield-Gabrieli, Susan Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Chai, Xiaoqian Doehrmann, Oliver Leonard, Julia Salvatore, John J. de los Angeles, Carlo S Gabrieli, John D. E. Whitfield-Gabrieli, Susan Background Neuroimaging studies of patients with major depression have revealed abnormal intrinsic functional connectivity measured during the resting state in multiple distributed networks. However, it is unclear whether these findings reflect the state of major depression or reflect trait neurobiological underpinnings of risk for major depression. Methods We compared resting-state functional connectivity, measured with functional magnetic resonance imaging, between unaffected children of parents who had documented histories of major depression (at-risk, n = 27; 8–14 years of age) and age-matched children of parents with no lifetime history of depression (control subjects, n = 16). Results At-risk children exhibited hyperconnectivity between the default mode network and subgenual anterior cingulate cortex/orbital frontal cortex, and the magnitude of connectivity positively correlated with individual symptom scores. At-risk children also exhibited 1) hypoconnectivity within the cognitive control network, which also lacked the typical anticorrelation with the default mode network; 2) hypoconnectivity between left dorsolateral prefrontal cortex and subgenual anterior cingulate cortex; and 3) hyperconnectivity between the right amygdala and right inferior frontal gyrus, a key region for top-down modulation of emotion. Classification between at-risk children and control subjects based on resting-state connectivity yielded high accuracy with high sensitivity and specificity that was superior to clinical rating scales. Conclusions Children at familial risk for depression exhibited atypical functional connectivity in the default mode, cognitive control, and affective networks. Such task-independent functional brain measures of risk for depression in children could be used to promote early intervention to reduce the likelihood of developing depression. 2017-12-08T15:53:49Z 2017-12-08T15:53:49Z 2015-12 2015-12 2017-12-07T19:38:01Z Article http://purl.org/eprint/type/JournalArticle 0006-3223 http://hdl.handle.net/1721.1/112654 Chai, Xiaoqian J. et al. “Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression.” Biological Psychiatry 80, 11 (December 2016): 849–858 © 2016 Society of Biological Psychiatry https://orcid.org/0000-0002-5946-1069 https://orcid.org/0000-0001-8099-2721 https://orcid.org/0000-0003-1158-5692 http://dx.doi.org/10.1016/J.BIOPSYCH.2015.12.003 Biological Psychiatry Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | Hirshfeld-Becker, Dina Biederman, Joseph Uchida, Mai Kenworthy, Tara Brown, Ariel Kagan, Elana Chai, Xiaoqian Doehrmann, Oliver Leonard, Julia Salvatore, John J. de los Angeles, Carlo S Gabrieli, John D. E. Whitfield-Gabrieli, Susan Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression |
| title | Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression |
| title_full | Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression |
| title_fullStr | Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression |
| title_full_unstemmed | Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression |
| title_short | Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression |
| title_sort | altered intrinsic functional brain architecture in children at familial risk of major depression |
| url | http://hdl.handle.net/1721.1/112654 https://orcid.org/0000-0002-5946-1069 https://orcid.org/0000-0001-8099-2721 https://orcid.org/0000-0003-1158-5692 |
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