DTI-based connectome analysis of adolescents with major depressive disorder reveals hypoconnectivity of the right caudate
Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level. We compared diffusion tensor imaging (DTI)-based brain ne...
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Published in | Journal of affective disorders Vol. 207; pp. 18 - 25 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.01.2017
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Abstract | Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level.
We compared diffusion tensor imaging (DTI)-based brain networks in a cohort of 57 adolescents with MDD and 41 well-matched healthy controls who completed self-reports of depression symptoms and stressful life events. Using atlas-based brain regions as network nodes and tractography streamline count or mean fractional anisotropy (FA) as edge weights, we examined weighted local and global network properties and performed Network-Based Statistic (NBS) analysis.
While there were no significant group differences in the global network properties, the FA-weighted node strength of the right caudate was significantly lower in depressed adolescents and correlated positively with age across both groups. The NBS analysis revealed a cluster of lower FA-based connectivity in depressed subjects centered on the right caudate, including connections to frontal gyri, insula, and anterior cingulate. Within this cluster, the most robust difference between groups was the connection between the right caudate and middle frontal gyrus. This connection showed a significant diagnosis by stress interaction and a negative correlation with total stress in depressed adolescents.
Use of DTI-based tractography, one atlas-based parcellation, and FA values to characterize brain networks represent this study's limitations.
Our results allowed us to suggest caudate-centric models of dysfunctional processes underlying adolescent depression, which might guide future studies and help better understand and treat this disorder.
•FA-weighted node strength of the right caudate was lower in depressed adolescents.•FA-weighted node strength of the right caudate correlated positively with age.•A cluster centered on the right caudate was hypoconnected in depressed subjects.•R. caudate - middle frontal gyrus connection anticorrelated with stress in MDD.•We proposed two models of dysfunctional processes underlying adolescent depression. |
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AbstractList | BACKGROUNDAdolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level.METHODSWe compared diffusion tensor imaging (DTI)-based brain networks in a cohort of 57 adolescents with MDD and 41 well-matched healthy controls who completed self-reports of depression symptoms and stressful life events. Using atlas-based brain regions as network nodes and tractography streamline count or mean fractional anisotropy (FA) as edge weights, we examined weighted local and global network properties and performed Network-Based Statistic (NBS) analysis.RESULTSWhile there were no significant group differences in the global network properties, the FA-weighted node strength of the right caudate was significantly lower in depressed adolescents and correlated positively with age across both groups. The NBS analysis revealed a cluster of lower FA-based connectivity in depressed subjects centered on the right caudate, including connections to frontal gyri, insula, and anterior cingulate. Within this cluster, the most robust difference between groups was the connection between the right caudate and middle frontal gyrus. This connection showed a significant diagnosis by stress interaction and a negative correlation with total stress in depressed adolescents.LIMITATIONSUse of DTI-based tractography, one atlas-based parcellation, and FA values to characterize brain networks represent this study's limitations.CONCLUSIONSOur results allowed us to suggest caudate-centric models of dysfunctional processes underlying adolescent depression, which might guide future studies and help better understand and treat this disorder. Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level. We compared diffusion tensor imaging (DTI)-based brain networks in a cohort of 57 adolescents with MDD and 41 well-matched healthy controls who completed self-reports of depression symptoms and stressful life events. Using atlas-based brain regions as network nodes and tractography streamline count or mean fractional anisotropy (FA) as edge weights, we examined weighted local and global network properties and performed Network-Based Statistic (NBS) analysis. While there were no significant group differences in the global network properties, the FA-weighted node strength of the right caudate was significantly lower in depressed adolescents and correlated positively with age across both groups. The NBS analysis revealed a cluster of lower FA-based connectivity in depressed subjects centered on the right caudate, including connections to frontal gyri, insula, and anterior cingulate. Within this cluster, the most robust difference between groups was the connection between the right caudate and middle frontal gyrus. This connection showed a significant diagnosis by stress interaction and a negative correlation with total stress in depressed adolescents. Use of DTI-based tractography, one atlas-based parcellation, and FA values to characterize brain networks represent this study's limitations. Our results allowed us to suggest caudate-centric models of dysfunctional processes underlying adolescent depression, which might guide future studies and help better understand and treat this disorder. •FA-weighted node strength of the right caudate was lower in depressed adolescents.•FA-weighted node strength of the right caudate correlated positively with age.•A cluster centered on the right caudate was hypoconnected in depressed subjects.•R. caudate - middle frontal gyrus connection anticorrelated with stress in MDD.•We proposed two models of dysfunctional processes underlying adolescent depression. AbstractBackgroundAdolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level. MethodsWe compared diffusion tensor imaging (DTI)-based brain networks in a cohort of 57 adolescents with MDD and 41 well-matched healthy controls who completed self-reports of depression symptoms and stressful life events. Using atlas-based brain regions as network nodes and tractography streamline count or mean fractional anisotropy (FA) as edge weights, we examined weighted local and global network properties and performed Network-Based Statistic (NBS) analysis. ResultsWhile there were no significant group differences in the global network properties, the FA-weighted node strength of the right caudate was significantly lower in depressed adolescents and correlated positively with age across both groups. The NBS analysis revealed a cluster of lower FA-based connectivity in depressed subjects centered on the right caudate, including connections to frontal gyri, insula, and anterior cingulate. Within this cluster, the most robust difference between groups was the connection between the right caudate and middle frontal gyrus. This connection showed a significant diagnosis by stress interaction and a negative correlation with total stress in depressed adolescents. LimitationsUse of DTI-based tractography, one atlas-based parcellation, and FA values to characterize brain networks represent this study's limitations. ConclusionsOur results allowed us to suggest caudate-centric models of dysfunctional processes underlying adolescent depression, which might guide future studies and help better understand and treat this disorder. BACKGROUND: Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level. METHODS: We compared diffusion tensor imaging (DTI)-based brain networks in a cohort of 57 adolescents with MDD and 41 well-matched healthy controls who completed self-reports of depression symptoms and stressful life events. Using atlas-based brain regions as network nodes and tractography streamline count or mean fractional anisotropy (FA) as edge weights, we examined weighted local and global network properties and performed Network-Based Statistic (NBS) analysis. RESULTS: While there were no significant group differences in the global network properties, the FA-weighted node strength of the right caudate was significantly lower in depressed adolescents and correlated positively with age across both groups. The NBS analysis revealed a cluster of lower FA-based connectivity in depressed subjects centered on the right caudate, including connections to frontal gyri, insula, and anterior cingulate. Within this cluster, the most robust difference between groups was the connection between the right caudate and middle frontal gyrus. This connection showed a significant diagnosis by stress interaction and a negative correlation with total stress in depressed adolescents. LIMITATIONS: Use of DTI-based tractography, one atlas-based parcellation, and FA values to characterize brain networks represent this study's limitations. CONCLUSIONS: Our results allowed us to suggest caudate-centric models of dysfunctional processes underlying adolescent depression, which might guide future studies and help better understand and treat this disorder. Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD, there is still a gap in understanding how the brain is affected at a network level. We compared diffusion tensor imaging (DTI)-based brain networks in a cohort of 57 adolescents with MDD and 41 well-matched healthy controls who completed self-reports of depression symptoms and stressful life events. Using atlas-based brain regions as network nodes and tractography streamline count or mean fractional anisotropy (FA) as edge weights, we examined weighted local and global network properties and performed Network-Based Statistic (NBS) analysis. While there were no significant group differences in the global network properties, the FA-weighted node strength of the right caudate was significantly lower in depressed adolescents and correlated positively with age across both groups. The NBS analysis revealed a cluster of lower FA-based connectivity in depressed subjects centered on the right caudate, including connections to frontal gyri, insula, and anterior cingulate. Within this cluster, the most robust difference between groups was the connection between the right caudate and middle frontal gyrus. This connection showed a significant diagnosis by stress interaction and a negative correlation with total stress in depressed adolescents. Use of DTI-based tractography, one atlas-based parcellation, and FA values to characterize brain networks represent this study's limitations. Our results allowed us to suggest caudate-centric models of dysfunctional processes underlying adolescent depression, which might guide future studies and help better understand and treat this disorder. |
Author | Connolly, Colm G. Ho, Tiffany C. Xu, Duan LeWinn, Kaja Z. Sacchet, Matthew D. Tymofiyeva, Olga Henje Blom, Eva Yang, Tony T. |
AuthorAffiliation | 1 Department of Radiology and Biomedical Imaging, University of California San Francisco 3 Department of Psychology and Neurosciences Program, Stanford University 2 Department of Psychiatry, University of California San Francisco 4 Department of Clinical Neuroscience, Karolinska Institute |
AuthorAffiliation_xml | – name: 3 Department of Psychology and Neurosciences Program, Stanford University – name: 2 Department of Psychiatry, University of California San Francisco – name: 4 Department of Clinical Neuroscience, Karolinska Institute – name: 1 Department of Radiology and Biomedical Imaging, University of California San Francisco |
Author_xml | – sequence: 1 givenname: Olga surname: Tymofiyeva fullname: Tymofiyeva, Olga email: Olga.Tymofiyeva@ucsf.edu organization: Department of Radiology and Biomedical Imaging, University of California San Francisco, United States – sequence: 2 givenname: Colm G. surname: Connolly fullname: Connolly, Colm G. organization: Department of Psychiatry, University of California San Francisco, United States – sequence: 3 givenname: Tiffany C. surname: Ho fullname: Ho, Tiffany C. organization: Department of Psychiatry, University of California San Francisco, United States – sequence: 4 givenname: Matthew D. surname: Sacchet fullname: Sacchet, Matthew D. organization: Department of Psychiatry, University of California San Francisco, United States – sequence: 5 givenname: Eva surname: Henje Blom fullname: Henje Blom, Eva organization: Department of Psychiatry, University of California San Francisco, United States – sequence: 6 givenname: Kaja Z. surname: LeWinn fullname: LeWinn, Kaja Z. organization: Department of Psychiatry, University of California San Francisco, United States – sequence: 7 givenname: Duan surname: Xu fullname: Xu, Duan organization: Department of Radiology and Biomedical Imaging, University of California San Francisco, United States – sequence: 8 givenname: Tony T. surname: Yang fullname: Yang, Tony T. organization: Department of Psychiatry, University of California San Francisco, United States |
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Cites_doi | 10.1016/j.bbr.2009.03.004 10.1016/j.neuroimage.2013.03.053 10.1002/mrm.10268 10.1016/j.neulet.2011.08.017 10.1016/j.dr.2007.08.003 10.1016/j.neuroimage.2009.10.003 10.1016/j.neuroimage.2013.04.056 10.1007/s11682-013-9274-8 10.3171/2013.2.JNS121294 10.1016/j.neuroimage.2004.07.051 10.1016/j.neuroimage.2010.03.035 10.1016/j.biopsych.2014.07.002 10.1038/npp.2010.199 10.1006/nimg.2002.1132 10.1073/pnas.1405672111 10.1097/00004583-199704000-00019 10.1097/HRP.0000000000000034 10.1016/j.jadohealth.2012.12.016 10.1016/j.neuroimage.2013.04.084 10.1371/journal.pcbi.0010042 10.1259/bjr.20140086 10.1038/npp.2014.28 10.1176/appi.ajp.2007.06122032 10.1016/j.jaac.2014.04.021 10.1006/nimg.2001.0978 10.1016/j.biopsych.2014.02.018 10.1146/annurev.clinpsy.1.102803.143938 10.1016/j.neuroimage.2012.06.081 10.1016/S0165-1781(03)00134-3 10.1007/s00429-009-0208-6 10.1162/jocn.2006.18.6.932 10.1007/s10334-016-0526-7 10.1016/j.psychres.2013.09.007 10.1111/j.1469-7610.2011.02477.x 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3 10.1002/14651858.CD008324.pub3 10.1371/journal.pone.0000597 10.1016/j.neuroimage.2010.06.041 10.1176/appi.ajp.2008.08081201 10.2147/nedt.1.1.9.52299 10.1093/cercor/bhp282 10.1176/appi.ajp.2008.07081336 |
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Keywords | Adolescence Brain Caudate MRI Tractography Depression Graph theory Neural network Diffusion Connectomics |
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References | Moldrich, Pannek, Hoch, Rubenstein, Kurniawan, Richards (bib29) 2010; 51 Naicker, Galambos, Zeng, Senthilselvan, Colman (bib31) 2013; 52 Meskaldji, Fischi-Gomez, Griffa, Hagmann, Morgenthaler, Thiran (bib28) 2013; 80 Schlaepfer, Bewernick, Kayser, Hurlemann, Coenen (bib38) 2014; 39 Zalesky, Fornito, Bullmore (bib47) 2010; 53 Jenkinson, Bannister, Brady, Smith (bib20) 2002; 17 Reynolds, W.M., 2002. RADS-2, Reynolds Adolescent Depression Scale: Professional Manual. Psychological Assessment Resources, Lutz, FL Farquharson, Tournier, Calamante, Fabinyi, Schneider-Kolsky, Jackson, Connelly (bib11) 2013; 118 Rubinov, Sporns (bib36) 2010; 52 Thomas, Ye, Irfanoglu, Modi, Saleem, Leopold, Pierpaoli (bib41) 2014; 111 Gabbay, Hess, Liu, Babb, Klein, Gonen (bib14) 2007; 164 Mori, Crain, Chacko, van Zijl (bib30) 1999; 45 Cox, G.R., Callahan, P., Churchill, R., Hunot, V., Merry, S.N., Parker, A.G., Hetrick, S.E., 2014. Psychological therapies versus antidepressant medication, alone and in combination for depression in children and adolescents. In: Cochrane Database of Systematic Reviews. John Wiley & Sons, Ltd Forbes, Hariri, Martin, Silk, Moyles, Fisher, Brown, Ryan, Birmaher, Axelson, Dahl (bib13) 2009; 166 March, Parker, Sullivan, Stallings, Conners (bib27) 1997; 36 Huang, Fan, Williamson, Rao (bib19) 2011; 36 Asato, Terwilliger, Woo, Luna (bib1) 2010; 20 Tzourio-Mazoyer, Landeau, Papathanassiou, Crivello, Etard, Delcroix, Mazoyer, Joliot (bib44) 2002; 15 Jones, Knösche, Turner (bib22) 2013; 73 Casey, Getz, Galvan (bib5) 2008; 28 Pavuluri, Herbener, Sweeney (bib32) 2005; 1 Pizzagalli, Holmes, Dillon, Goetz, Birk, Bogdan, Dougherty, Iosifescu, Rauch, Fava (bib33) 2009; 166 Korgaonkar, Fornito, Williams, Grieve (bib24) 2014; 76 Damoiseaux, Greicius (bib9) 2009; 213 Griffa, Baumann, Thiran, Hagmann (bib16) 2013; 80 Hagmann, Kurant, Gigandet, Thiran, Wedeen, Meuli, Thiran (bib17) 2007; 2 LeWinn, Connolly, Wu, Drahos, Hoeft, Ho, Simmons, Yang (bib25) 2014; 53 Auerbach, Admon, Pizzagalli (bib2) 2014; 22 Chen, Zhou, Wu, Wang, Li, Wei, Yang, Mu, Zhu, Zou, Xie (bib6) 2013; 210 Cullen, Klimes-Dougan, Muetzel, Mueller, Camchong, Houri, Kurma, Lim (bib8) 2010; 49 Li Y., Jakary A., Gillung E., Eisendrath S., Nelson S.J., Mukherjee P. and Luks T., Evaluating metabolites in patients with major depressive disorder who received mindfulness-based cognitive therapy and healthy controls using short echo MRSI at 7 Tesla Jin, Gao, Chen, Ma, Netra, Wang, Zhang, Li (bib21) 2011; 503 Williamson, Birmaher, Ryan, Shiffrin, Lusky, Protopapa, Dahl, Brent (bib46) 2003; 119 Gilbert, Spengler, Simons, Steele, Lawrie, Frith, Burgess (bib15) 2006; 18 SAMHSA – Substance Abuse and Mental Health Services Administration, 2014. NSDUH Series H-49, HHS Publication No. SMA 14–4887 Forbes, Dahl (bib12) 2012; 53 Tymofiyeva, Hess, Xu, Barkovich (bib43) 2014; 87 Hammen (bib18) 2005; 1 Smith, Jenkinson, Woolrich, Beckmann, Behrens, Johansen-Berg, Bannister, De Luca, Drobnjak, Flitney, Niazy, Saunders, Vickers, Zhang, De Stefano, Brady, Matthews (bib39) 2004; 23 Tuch, Reese, Wiegell, Makris, Belliveau, Wedeen (bib42) 2002; 48 29, 2016, 523–533. Sporns, Tononi, Kötter (bib40) 2005; 1 De Reus, van den Heuvel (bib10) 2013; 80 Wang, Benner, Sorensen, Wedeen (bib45) 2007 Bessette, Nave, Caprihan, Stevens (bib3) 2013; 8 Poznanski, E.O., Mokros, H.B., 1996. Children's Depression Rating Scale—Revised (CDRS-R). Western Psychological Services, Los Angeles Bi, He (bib4) 2014; 76 Koenigs, Grafman (bib23) 2009; 201 10.1016/j.jad.2016.09.013_bib26 Jenkinson (10.1016/j.jad.2016.09.013_bib20) 2002; 17 Meskaldji (10.1016/j.jad.2016.09.013_bib28) 2013; 80 Damoiseaux (10.1016/j.jad.2016.09.013_bib9) 2009; 213 Forbes (10.1016/j.jad.2016.09.013_bib12) 2012; 53 Griffa (10.1016/j.jad.2016.09.013_bib16) 2013; 80 Tzourio-Mazoyer (10.1016/j.jad.2016.09.013_bib44) 2002; 15 Hammen (10.1016/j.jad.2016.09.013_bib18) 2005; 1 March (10.1016/j.jad.2016.09.013_bib27) 1997; 36 Jin (10.1016/j.jad.2016.09.013_bib21) 2011; 503 10.1016/j.jad.2016.09.013_bib7 Bessette (10.1016/j.jad.2016.09.013_bib3) 2013; 8 Farquharson (10.1016/j.jad.2016.09.013_bib11) 2013; 118 Schlaepfer (10.1016/j.jad.2016.09.013_bib38) 2014; 39 Asato (10.1016/j.jad.2016.09.013_bib1) 2010; 20 10.1016/j.jad.2016.09.013_bib35 10.1016/j.jad.2016.09.013_bib34 10.1016/j.jad.2016.09.013_bib37 Bi (10.1016/j.jad.2016.09.013_bib4) 2014; 76 Koenigs (10.1016/j.jad.2016.09.013_bib23) 2009; 201 Naicker (10.1016/j.jad.2016.09.013_bib31) 2013; 52 Williamson (10.1016/j.jad.2016.09.013_bib46) 2003; 119 Wang (10.1016/j.jad.2016.09.013_bib45) 2007 Hagmann (10.1016/j.jad.2016.09.013_bib17) 2007; 2 Sporns (10.1016/j.jad.2016.09.013_bib40) 2005; 1 Casey (10.1016/j.jad.2016.09.013_bib5) 2008; 28 Huang (10.1016/j.jad.2016.09.013_bib19) 2011; 36 Korgaonkar (10.1016/j.jad.2016.09.013_bib24) 2014; 76 Rubinov (10.1016/j.jad.2016.09.013_bib36) 2010; 52 Moldrich (10.1016/j.jad.2016.09.013_bib29) 2010; 51 Pizzagalli (10.1016/j.jad.2016.09.013_bib33) 2009; 166 Zalesky (10.1016/j.jad.2016.09.013_bib47) 2010; 53 Mori (10.1016/j.jad.2016.09.013_bib30) 1999; 45 Gabbay (10.1016/j.jad.2016.09.013_bib14) 2007; 164 Smith (10.1016/j.jad.2016.09.013_bib39) 2004; 23 Forbes (10.1016/j.jad.2016.09.013_bib13) 2009; 166 LeWinn (10.1016/j.jad.2016.09.013_bib25) 2014; 53 Tymofiyeva (10.1016/j.jad.2016.09.013_bib43) 2014; 87 Thomas (10.1016/j.jad.2016.09.013_bib41) 2014; 111 De Reus (10.1016/j.jad.2016.09.013_bib10) 2013; 80 Jones (10.1016/j.jad.2016.09.013_bib22) 2013; 73 Tuch (10.1016/j.jad.2016.09.013_bib42) 2002; 48 Auerbach (10.1016/j.jad.2016.09.013_bib2) 2014; 22 Chen (10.1016/j.jad.2016.09.013_bib6) 2013; 210 Cullen (10.1016/j.jad.2016.09.013_bib8) 2010; 49 Gilbert (10.1016/j.jad.2016.09.013_bib15) 2006; 18 Pavuluri (10.1016/j.jad.2016.09.013_bib32) 2005; 1 |
References_xml | – volume: 53 start-page: 3 year: 2012 end-page: 15 ident: bib12 article-title: Research review: altered reward function in adolescent depression: what, when and how? publication-title: J. Child Psychol. Psychiatry – reference: SAMHSA – Substance Abuse and Mental Health Services Administration, 2014. NSDUH Series H-49, HHS Publication No. SMA 14–4887 – volume: 39 start-page: 1303 year: 2014 end-page: 1314 ident: bib38 article-title: Deep brain stimulation of the human reward system for major depression—rationale, outcomes and outlook publication-title: Neuropsychopharmacology – reference: Li Y., Jakary A., Gillung E., Eisendrath S., Nelson S.J., Mukherjee P. and Luks T., Evaluating metabolites in patients with major depressive disorder who received mindfulness-based cognitive therapy and healthy controls using short echo MRSI at 7 Tesla, – volume: 166 start-page: 702 year: 2009 end-page: 710 ident: bib33 article-title: Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder publication-title: Am. J. Psychiatry – volume: 52 start-page: 1059 year: 2010 end-page: 1069 ident: bib36 article-title: Complex network measures of brain connectivity: uses and interpretations publication-title: Neuroimage – volume: 8 start-page: 531 year: 2013 end-page: 541 ident: bib3 article-title: White matter abnormalities in adolescents with major depressive disorder publication-title: Brain Imaging Behav. – volume: 48 start-page: 577 year: 2002 end-page: 582 ident: bib42 article-title: High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity publication-title: Magn. Reson. Med. – volume: 111 start-page: 16574 year: 2014 end-page: 16579 ident: bib41 article-title: Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited publication-title: Proc. Natl. Acad. Sci. USA – volume: 28 start-page: 62 year: 2008 end-page: 77 ident: bib5 article-title: The adolescent brain publication-title: Dev. Rev. – volume: 80 start-page: 416 year: 2013 end-page: 425 ident: bib28 article-title: Comparing connectomes across subjects and populations at different scales publication-title: Neuroimage – volume: 166 start-page: 64 year: 2009 end-page: 73 ident: bib13 article-title: Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder publication-title: Am. J. Psychiatry – volume: 73 start-page: 239 year: 2013 end-page: 254 ident: bib22 article-title: White matter integrity, fiber count, and other fallacies: the do's and don’ts of diffusion MRI publication-title: Neuroimage – start-page: 3720 year: 2007 ident: bib45 article-title: Diffusion toolkit: a software package for diffusion imaging data processing and tractography publication-title: Proc. Int. Soc. Magn. Reson. Med. – volume: 52 start-page: 533 year: 2013 end-page: 538 ident: bib31 article-title: Social, demographic, and health outcomes in the 10 years following adolescent depression publication-title: J. Adolesc. Health – volume: 80 start-page: 397 year: 2013 end-page: 404 ident: bib10 article-title: The parcellation-based connectome: limitations and extensions publication-title: Neuroimage – volume: 20 start-page: 2122 year: 2010 end-page: 2131 ident: bib1 article-title: White matter development in adolescence: a DTI study publication-title: Cereb. Cortex – volume: 22 start-page: 139 year: 2014 end-page: 148 ident: bib2 article-title: Adolescent depression: stress and reward dysfunction publication-title: Harv. Rev. Psychiatry – volume: 503 start-page: 105 year: 2011 end-page: 109 ident: bib21 article-title: A preliminary study of the dysregulation of the resting networks in first-episode medication-naive adolescent depression publication-title: Neurosci. Lett. – volume: 53 start-page: 899 year: 2014 end-page: 909 ident: bib25 article-title: White matter correlates of adolescent depression: structural evidence for frontolimbic disconnectivity publication-title: J. Am. Acad. Child Adolesc. Psychiatry – volume: 87 start-page: 20140086 year: 2014 ident: bib43 article-title: Structural MRI connectome in development: challenges of the changing brain publication-title: Br. J. Radiol. – volume: 36 start-page: 554 year: 1997 end-page: 565 ident: bib27 article-title: The multidimensional anxiety scale for children (MASC): factor structure, reliability, and validity publication-title: J. Am. Acad. Child Adolesc. Psychiatry – reference: 29, 2016, 523–533. – volume: 23 start-page: 208 year: 2004 end-page: 219 ident: bib39 article-title: Advances in functional and structural MR image analysis and implementation as FSL publication-title: Neuroimage – volume: 18 start-page: 932 year: 2006 end-page: 948 ident: bib15 article-title: Functional specialization within rostral prefrontal cortex (area 10): a meta-analysis publication-title: J. Cogn. Neurosci. – volume: 1 start-page: e42 year: 2005 ident: bib40 article-title: The human connectome: a structural description of the human brain publication-title: PLoS Comput. Biol. – reference: Poznanski, E.O., Mokros, H.B., 1996. Children's Depression Rating Scale—Revised (CDRS-R). Western Psychological Services, Los Angeles – volume: 17 start-page: 825 year: 2002 end-page: 841 ident: bib20 article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images publication-title: Neuroimage – volume: 118 start-page: 1367 year: 2013 end-page: 1377 ident: bib11 article-title: White matter fiber tractography: why we need to move beyond DTI publication-title: J. Neurosurg. – volume: 210 start-page: 1260 year: 2013 end-page: 1264 ident: bib6 article-title: Left versus right repetitive transcranial magnetic stimulation in treating major depression: a meta-analysis of randomised controlled trials publication-title: Psychiatry Res. – volume: 2 start-page: e597 year: 2007 ident: bib17 article-title: Mapping human whole-brain structural networks with diffusion MRI publication-title: PLoS One – volume: 119 start-page: 225 year: 2003 end-page: 241 ident: bib46 article-title: The stressful life events schedule for children and adolescents: development and validation publication-title: Psychiatry Res. – volume: 1 start-page: 9 year: 2005 end-page: 15 ident: bib32 article-title: Affect regulation: a systems neuroscience perspective publication-title: Neuropsychiatr. Dis. Treat. – volume: 53 start-page: 1197 year: 2010 end-page: 1207 ident: bib47 article-title: Network-based statistic: identifying differences in brain networks publication-title: Neuroimage – volume: 76 start-page: 515 year: 2014 end-page: 516 ident: bib4 article-title: Connectomics reveals faulty wiring patterns for depressed brain publication-title: Biol. Psychiatry – volume: 51 start-page: 1027 year: 2010 end-page: 1036 ident: bib29 article-title: Comparative mouse brain tractography of diffusion magnetic resonance imaging publication-title: Neuroimage – reference: Cox, G.R., Callahan, P., Churchill, R., Hunot, V., Merry, S.N., Parker, A.G., Hetrick, S.E., 2014. Psychological therapies versus antidepressant medication, alone and in combination for depression in children and adolescents. In: Cochrane Database of Systematic Reviews. John Wiley & Sons, Ltd – volume: 49 start-page: 173 year: 2010 end-page: 183 ident: bib8 article-title: Altered white matter microstructure in adolescents with major depression: a preliminary study publication-title: J. Am. Acad. Child Adolesc. Psychiatry – volume: 80 start-page: 515 year: 2013 end-page: 526 ident: bib16 article-title: Structural connectomics in brain diseases publication-title: Neuroimage – volume: 45 start-page: 265 year: 1999 end-page: 269 ident: bib30 article-title: Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging publication-title: Ann. Neurol. – volume: 1 start-page: 293 year: 2005 end-page: 319 ident: bib18 article-title: Stress and depression publication-title: Annu. Rev. Clin. Psychol. – volume: 164 start-page: 1881 year: 2007 end-page: 1889 ident: bib14 article-title: Lateralized caudate metabolic abnormalities in adolescent major depressive disorder: a proton MR spectroscopy study publication-title: Am. J. Psychiatry – reference: Reynolds, W.M., 2002. RADS-2, Reynolds Adolescent Depression Scale: Professional Manual. Psychological Assessment Resources, Lutz, FL – volume: 36 start-page: 684 year: 2011 end-page: 691 ident: bib19 article-title: White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study publication-title: Neuropsychopharmacology – volume: 76 start-page: 567 year: 2014 end-page: 574 ident: bib24 article-title: Abnormal structural networks characterize major depressive disorder: a connectome analysis publication-title: Biol. Psychiatry – volume: 213 start-page: 525 year: 2009 end-page: 533 ident: bib9 article-title: Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity publication-title: Brain Struct. Funct. – volume: 201 start-page: 239 year: 2009 end-page: 243 ident: bib23 article-title: The functional neuroanatomy of depression: distinct roles for ventromedial and dorsolateral prefrontal cortex publication-title: Behav. Brain Res. – volume: 15 start-page: 273 year: 2002 end-page: 289 ident: bib44 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain publication-title: Neuroimage – volume: 201 start-page: 239 year: 2009 ident: 10.1016/j.jad.2016.09.013_bib23 article-title: The functional neuroanatomy of depression: distinct roles for ventromedial and dorsolateral prefrontal cortex publication-title: Behav. Brain Res. doi: 10.1016/j.bbr.2009.03.004 – volume: 80 start-page: 397 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib10 article-title: The parcellation-based connectome: limitations and extensions publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.03.053 – volume: 48 start-page: 577 year: 2002 ident: 10.1016/j.jad.2016.09.013_bib42 article-title: High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity publication-title: Magn. Reson. Med. doi: 10.1002/mrm.10268 – volume: 503 start-page: 105 year: 2011 ident: 10.1016/j.jad.2016.09.013_bib21 article-title: A preliminary study of the dysregulation of the resting networks in first-episode medication-naive adolescent depression publication-title: Neurosci. Lett. doi: 10.1016/j.neulet.2011.08.017 – volume: 28 start-page: 62 year: 2008 ident: 10.1016/j.jad.2016.09.013_bib5 article-title: The adolescent brain publication-title: Dev. Rev. doi: 10.1016/j.dr.2007.08.003 – volume: 52 start-page: 1059 year: 2010 ident: 10.1016/j.jad.2016.09.013_bib36 article-title: Complex network measures of brain connectivity: uses and interpretations publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.10.003 – volume: 80 start-page: 515 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib16 article-title: Structural connectomics in brain diseases publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.04.056 – volume: 8 start-page: 531 issue: 4 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib3 article-title: White matter abnormalities in adolescents with major depressive disorder publication-title: Brain Imaging Behav. doi: 10.1007/s11682-013-9274-8 – volume: 118 start-page: 1367 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib11 article-title: White matter fiber tractography: why we need to move beyond DTI publication-title: J. Neurosurg. doi: 10.3171/2013.2.JNS121294 – volume: 23 start-page: 208 year: 2004 ident: 10.1016/j.jad.2016.09.013_bib39 article-title: Advances in functional and structural MR image analysis and implementation as FSL publication-title: Neuroimage doi: 10.1016/j.neuroimage.2004.07.051 – volume: 51 start-page: 1027 issue: 3 year: 2010 ident: 10.1016/j.jad.2016.09.013_bib29 article-title: Comparative mouse brain tractography of diffusion magnetic resonance imaging publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.03.035 – volume: 76 start-page: 515 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib4 article-title: Connectomics reveals faulty wiring patterns for depressed brain publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2014.07.002 – volume: 36 start-page: 684 year: 2011 ident: 10.1016/j.jad.2016.09.013_bib19 article-title: White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study publication-title: Neuropsychopharmacology doi: 10.1038/npp.2010.199 – ident: 10.1016/j.jad.2016.09.013_bib34 – volume: 17 start-page: 825 issue: 2 year: 2002 ident: 10.1016/j.jad.2016.09.013_bib20 article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images publication-title: Neuroimage doi: 10.1006/nimg.2002.1132 – volume: 111 start-page: 16574 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib41 article-title: Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1405672111 – volume: 36 start-page: 554 year: 1997 ident: 10.1016/j.jad.2016.09.013_bib27 article-title: The multidimensional anxiety scale for children (MASC): factor structure, reliability, and validity publication-title: J. Am. Acad. Child Adolesc. Psychiatry doi: 10.1097/00004583-199704000-00019 – ident: 10.1016/j.jad.2016.09.013_bib37 – volume: 22 start-page: 139 issue: 3 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib2 article-title: Adolescent depression: stress and reward dysfunction publication-title: Harv. Rev. Psychiatry doi: 10.1097/HRP.0000000000000034 – volume: 52 start-page: 533 issue: 5 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib31 article-title: Social, demographic, and health outcomes in the 10 years following adolescent depression publication-title: J. Adolesc. Health doi: 10.1016/j.jadohealth.2012.12.016 – volume: 80 start-page: 416 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib28 article-title: Comparing connectomes across subjects and populations at different scales publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.04.084 – volume: 1 start-page: e42 year: 2005 ident: 10.1016/j.jad.2016.09.013_bib40 article-title: The human connectome: a structural description of the human brain publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.0010042 – volume: 87 start-page: 20140086 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib43 article-title: Structural MRI connectome in development: challenges of the changing brain publication-title: Br. J. Radiol. doi: 10.1259/bjr.20140086 – volume: 39 start-page: 1303 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib38 article-title: Deep brain stimulation of the human reward system for major depression—rationale, outcomes and outlook publication-title: Neuropsychopharmacology doi: 10.1038/npp.2014.28 – volume: 49 start-page: 173 year: 2010 ident: 10.1016/j.jad.2016.09.013_bib8 article-title: Altered white matter microstructure in adolescents with major depression: a preliminary study publication-title: J. Am. Acad. Child Adolesc. Psychiatry – volume: 164 start-page: 1881 issue: 12 year: 2007 ident: 10.1016/j.jad.2016.09.013_bib14 article-title: Lateralized caudate metabolic abnormalities in adolescent major depressive disorder: a proton MR spectroscopy study publication-title: Am. J. Psychiatry doi: 10.1176/appi.ajp.2007.06122032 – volume: 53 start-page: 899 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib25 article-title: White matter correlates of adolescent depression: structural evidence for frontolimbic disconnectivity publication-title: J. Am. Acad. Child Adolesc. Psychiatry doi: 10.1016/j.jaac.2014.04.021 – volume: 15 start-page: 273 year: 2002 ident: 10.1016/j.jad.2016.09.013_bib44 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain publication-title: Neuroimage doi: 10.1006/nimg.2001.0978 – start-page: 3720 year: 2007 ident: 10.1016/j.jad.2016.09.013_bib45 article-title: Diffusion toolkit: a software package for diffusion imaging data processing and tractography publication-title: Proc. Int. Soc. Magn. Reson. Med. – volume: 76 start-page: 567 year: 2014 ident: 10.1016/j.jad.2016.09.013_bib24 article-title: Abnormal structural networks characterize major depressive disorder: a connectome analysis publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2014.02.018 – volume: 1 start-page: 293 year: 2005 ident: 10.1016/j.jad.2016.09.013_bib18 article-title: Stress and depression publication-title: Annu. Rev. Clin. Psychol. doi: 10.1146/annurev.clinpsy.1.102803.143938 – volume: 73 start-page: 239 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib22 article-title: White matter integrity, fiber count, and other fallacies: the do's and don’ts of diffusion MRI publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.06.081 – ident: 10.1016/j.jad.2016.09.013_bib35 – volume: 119 start-page: 225 year: 2003 ident: 10.1016/j.jad.2016.09.013_bib46 article-title: The stressful life events schedule for children and adolescents: development and validation publication-title: Psychiatry Res. doi: 10.1016/S0165-1781(03)00134-3 – volume: 213 start-page: 525 year: 2009 ident: 10.1016/j.jad.2016.09.013_bib9 article-title: Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity publication-title: Brain Struct. Funct. doi: 10.1007/s00429-009-0208-6 – volume: 18 start-page: 932 year: 2006 ident: 10.1016/j.jad.2016.09.013_bib15 article-title: Functional specialization within rostral prefrontal cortex (area 10): a meta-analysis publication-title: J. Cogn. Neurosci. doi: 10.1162/jocn.2006.18.6.932 – ident: 10.1016/j.jad.2016.09.013_bib26 doi: 10.1007/s10334-016-0526-7 – volume: 210 start-page: 1260 year: 2013 ident: 10.1016/j.jad.2016.09.013_bib6 article-title: Left versus right repetitive transcranial magnetic stimulation in treating major depression: a meta-analysis of randomised controlled trials publication-title: Psychiatry Res. doi: 10.1016/j.psychres.2013.09.007 – volume: 53 start-page: 3 year: 2012 ident: 10.1016/j.jad.2016.09.013_bib12 article-title: Research review: altered reward function in adolescent depression: what, when and how? publication-title: J. Child Psychol. Psychiatry doi: 10.1111/j.1469-7610.2011.02477.x – volume: 45 start-page: 265 year: 1999 ident: 10.1016/j.jad.2016.09.013_bib30 article-title: Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging publication-title: Ann. Neurol. doi: 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3 – ident: 10.1016/j.jad.2016.09.013_bib7 doi: 10.1002/14651858.CD008324.pub3 – volume: 2 start-page: e597 year: 2007 ident: 10.1016/j.jad.2016.09.013_bib17 article-title: Mapping human whole-brain structural networks with diffusion MRI publication-title: PLoS One doi: 10.1371/journal.pone.0000597 – volume: 53 start-page: 1197 year: 2010 ident: 10.1016/j.jad.2016.09.013_bib47 article-title: Network-based statistic: identifying differences in brain networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.06.041 – volume: 166 start-page: 702 year: 2009 ident: 10.1016/j.jad.2016.09.013_bib33 article-title: Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder publication-title: Am. J. Psychiatry doi: 10.1176/appi.ajp.2008.08081201 – volume: 1 start-page: 9 year: 2005 ident: 10.1016/j.jad.2016.09.013_bib32 article-title: Affect regulation: a systems neuroscience perspective publication-title: Neuropsychiatr. Dis. Treat. doi: 10.2147/nedt.1.1.9.52299 – volume: 20 start-page: 2122 year: 2010 ident: 10.1016/j.jad.2016.09.013_bib1 article-title: White matter development in adolescence: a DTI study publication-title: Cereb. Cortex doi: 10.1093/cercor/bhp282 – volume: 166 start-page: 64 year: 2009 ident: 10.1016/j.jad.2016.09.013_bib13 article-title: Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder publication-title: Am. J. Psychiatry doi: 10.1176/appi.ajp.2008.07081336 |
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Snippet | Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in adolescent MDD,... AbstractBackgroundAdolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations... BACKGROUNDAdolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in... BACKGROUND: Adolescence is a vulnerable period for the onset of major depressive disorder (MDD). While some studies have shown white matter alterations in... |
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SubjectTerms | Adolescence Adolescent Anisotropy Brain Brain - diagnostic imaging Brain - physiopathology Caudate Caudate Nucleus - diagnostic imaging Caudate Nucleus - physiopathology Connectome Connectomics Depression Depressive Disorder, Major - diagnostic imaging Depressive Disorder, Major - physiopathology Diffusion Diffusion Tensor Imaging Female Frontal Lobe - diagnostic imaging Frontal Lobe - physiopathology Graph theory Gyrus Cinguli - diagnostic imaging Gyrus Cinguli - physiopathology Humans Life Change Events Male MRI Neural network Prefrontal Cortex - diagnostic imaging Prefrontal Cortex - physiopathology Psychiatric/Mental Health Research Design Self Report Stress, Psychological - diagnostic imaging Stress, Psychological - physiopathology Tractography |
Title | DTI-based connectome analysis of adolescents with major depressive disorder reveals hypoconnectivity of the right caudate |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0165032716305869 https://www.clinicalkey.es/playcontent/1-s2.0-S0165032716305869 https://dx.doi.org/10.1016/j.jad.2016.09.013 https://www.ncbi.nlm.nih.gov/pubmed/27673479 https://www.proquest.com/docview/1835504059 https://pubmed.ncbi.nlm.nih.gov/PMC5107159 https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-135695 |
Volume | 207 |
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