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Goya-Maldonado, Roberto
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Goya-Maldonado, Roberto
Official Name
Goya-Maldonado, Roberto
Alternative Name
Goya-Maldonado, R.
Main Affiliation
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2014Journal Article [["dc.bibliographiccitation.firstpage","57"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","European Archives of Psychiatry and Clinical Neuroscience"],["dc.bibliographiccitation.lastpage","66"],["dc.bibliographiccitation.volume","265"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Weber, Kristina"],["dc.contributor.author","Trost, Sarah"],["dc.contributor.author","Diekhof, Esther"],["dc.contributor.author","Keil, Maria"],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Gruber, Oliver"],["dc.date.accessioned","2017-09-07T11:47:50Z"],["dc.date.available","2017-09-07T11:47:50Z"],["dc.date.issued","2014"],["dc.description.abstract","Depression is a debilitating psychiatric disorder characterized among other aspects by the inability to properly experience or respond to reward. However, it remains unclear whether patients with depression present impaired reward system due to abnormal modulatory mechanisms. We investigated the activation of the nucleus accumbens (NAcc), a crucial region involved in reward processing, with functional magnetic resonance imaging using the desire-reason-dilemma paradigm. This task allows tracking the activity of the NAcc during the acceptance or the rejection of previously conditioned reward stimuli. Patients were assigned into subgroups of lower (LA) or higher (HA) NAcc activation according to beta weights. LA patients presented significant hypoactivation in the ventral tegmental area in addition to bilateral ventral striatum, confirming impairments in the bottom-up input to the NAcc. Conversely, HA patients presented significant hyperactivation in prefrontal areas such as the rostral anterior cingulate cortex and the anterior ventral prefrontal cortex in addition to bilateral ventral striatum, suggesting disturbances in the top-down regulation of the NAcc. Demographic and clinical differences explaining the abnormal co-activations of midbrain and prefrontal regions were not identified. Therefore, we provide evidence for dysfunctional bottom-up processing in one potential neurobiological subtype of depression (LA) and dysfunctional top-down modulation in another subtype (HA). We suggest that the midbrain and prefrontal regions are more specific pathophysiological substrates for each depression subtype. Above all, our results encourage the segregation of patients by similar dysfunctional mechanisms of the dopaminergic system, which would finally contribute to disentangle more specific pathogeneses and guide the development of more personalized targets for future therapies."],["dc.identifier.doi","10.1007/s00406-014-0552-2"],["dc.identifier.gro","3150742"],["dc.identifier.pmid","25327829"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7532"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","0940-1334"],["dc.title","Dissociating pathomechanisms of depression with fMRI: bottom-up or top-down dysfunctions of the reward system"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2019Journal Article [["dc.bibliographiccitation.firstpage","1039"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","The American Journal of Psychiatry"],["dc.bibliographiccitation.lastpage","1049"],["dc.bibliographiccitation.volume","176"],["dc.contributor.author","de Kovel, Carolien G.F."],["dc.contributor.author","Aftanas, Lyubomir"],["dc.contributor.author","Aleman, André"],["dc.contributor.author","Alexander-Bloch, Aaron F."],["dc.contributor.author","Baune, Bernhard T."],["dc.contributor.author","Brack, Ivan"],["dc.contributor.author","Bülow, Robin"],["dc.contributor.author","Busatto Filho, Geraldo"],["dc.contributor.author","Carballedo, Angela"],["dc.contributor.author","Connolly, Colm G."],["dc.contributor.author","Cullen, Kathryn R."],["dc.contributor.author","Dannlowski, Udo"],["dc.contributor.author","Davey, Christopher G."],["dc.contributor.author","Dima, Danai"],["dc.contributor.author","Dohm, Katharina"],["dc.contributor.author","Erwin-Grabner, Tracy"],["dc.contributor.author","Frodl, Thomas"],["dc.contributor.author","Fu, Cynthia H.Y."],["dc.contributor.author","Hall, Geoffrey B."],["dc.contributor.author","Glahn, David C."],["dc.contributor.author","Godlewska, Beata"],["dc.contributor.author","Gotlib, Ian H."],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Grabe, Hans Jörgen"],["dc.contributor.author","Groenewold, Nynke A."],["dc.contributor.author","Grotegerd, Dominik"],["dc.contributor.author","Gruber, Oliver"],["dc.contributor.author","Harris, Mathew A."],["dc.contributor.author","Harrison, Ben J."],["dc.contributor.author","Hatton, Sean N."],["dc.contributor.author","Hickie, Ian B."],["dc.contributor.author","Ho, Tiffany C."],["dc.contributor.author","Jahanshad, Neda"],["dc.contributor.author","Kircher, Tilo"],["dc.contributor.author","Krämer, Bernd"],["dc.contributor.author","Krug, Axel"],["dc.contributor.author","Lagopoulos, Jim"],["dc.contributor.author","Leehr, Elisabeth J."],["dc.contributor.author","Li, Meng"],["dc.contributor.author","MacMaster, Frank P."],["dc.contributor.author","MacQueen, Glenda"],["dc.contributor.author","McIntosh, Andrew M."],["dc.contributor.author","McLellan, Quinn"],["dc.contributor.author","Medland, Sarah E."],["dc.contributor.author","Mueller, Bryon A."],["dc.contributor.author","Nenadic, Igor"],["dc.contributor.author","Osipov, Evgeny"],["dc.contributor.author","Papmeyer, Martina"],["dc.contributor.author","Portella, Maria J."],["dc.contributor.author","Reneman, Liesbeth"],["dc.contributor.author","Rosa, Pedro G.P."],["dc.contributor.author","Sacchet, Matthew D."],["dc.contributor.author","Schnell, Knut"],["dc.contributor.author","Schrantee, Anouk"],["dc.contributor.author","Sim, Kang"],["dc.contributor.author","Simulionyte, Egle"],["dc.contributor.author","Sindermann, Lisa"],["dc.contributor.author","Singh, Aditya"],["dc.contributor.author","Stein, Dan J."],["dc.contributor.author","Ubani, Benjamin N."],["dc.contributor.author","Van der Wee, Nic J.A."],["dc.contributor.author","Van der Werff, Steven J.A."],["dc.contributor.author","Veer, Ilya M."],["dc.contributor.author","Vives-Gilabert, Yolanda"],["dc.contributor.author","Völzke, Henry"],["dc.contributor.author","Walter, Henrik"],["dc.contributor.author","Walter, Martin"],["dc.contributor.author","Schreiner, Melinda Westlund"],["dc.contributor.author","Whalley, Heather"],["dc.contributor.author","Winter, Nils"],["dc.contributor.author","Wittfeld, Katharina"],["dc.contributor.author","Yang, Tony T."],["dc.contributor.author","Yüksel, Dilara"],["dc.contributor.author","Zaremba, Dario"],["dc.contributor.author","Thompson, Paul M."],["dc.contributor.author","Veltman, Dick J."],["dc.contributor.author","Schmaal, Lianne"],["dc.contributor.author","Francks, Clyde"],["dc.date.accessioned","2020-12-10T18:38:21Z"],["dc.date.available","2020-12-10T18:38:21Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1176/appi.ajp.2019.18101144"],["dc.identifier.eissn","1535-7228"],["dc.identifier.issn","0002-953X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77281"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium Analysis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2021Journal Article [["dc.bibliographiccitation.journal","Frontiers in Aging Neuroscience"],["dc.bibliographiccitation.volume","13"],["dc.contributor.affiliation","Hansen, Niels; 1Department of Psychiatry and Psychotherapy, Göttingen, Germany"],["dc.contributor.affiliation","Singh, Aditya; 1Department of Psychiatry and Psychotherapy, Göttingen, Germany"],["dc.contributor.affiliation","Bartels, Claudia; 1Department of Psychiatry and Psychotherapy, Göttingen, Germany"],["dc.contributor.affiliation","Brosseron, Frederic; 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany"],["dc.contributor.affiliation","Buerger, Katharina; 5German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany"],["dc.contributor.affiliation","Cetindag, Arda C.; 7Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany"],["dc.contributor.affiliation","Dobisch, Laura; 9German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany"],["dc.contributor.affiliation","Dechent, Peter; 10MR-Research in Neurology and Psychiatry, University Medical Center Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Ertl-Wagner, Birgit B.; 11Institute for Clinical Radiology, Ludwig-Maximilians-University, Munich, Germany"],["dc.contributor.affiliation","Fliessbach, Klaus; 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany"],["dc.contributor.affiliation","Haynes, John D.; 12Bernstein Center for Computational Neuroscience, Charité—Universitätsmedizin, Berlin, Germany"],["dc.contributor.affiliation","Heneka, Michael T.; 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany"],["dc.contributor.affiliation","Janowitz, Daniel; 6Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany"],["dc.contributor.affiliation","Kilimann, Ingo; 13German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany"],["dc.contributor.affiliation","Laske, Christoph; 15German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany"],["dc.contributor.affiliation","Metzger, Coraline D.; 9German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany"],["dc.contributor.affiliation","Munk, Matthias H.; 15German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany"],["dc.contributor.affiliation","Peters, Oliver; 7Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany"],["dc.contributor.affiliation","Priller, Josef; 8German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany"],["dc.contributor.affiliation","Roy, Nina; 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany"],["dc.contributor.affiliation","Scheffler, Klaus; 21Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany"],["dc.contributor.affiliation","Schneider, Anja; 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany"],["dc.contributor.affiliation","Spottke, Annika; 3German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany"],["dc.contributor.affiliation","Spruth, Eike J.; 8German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany"],["dc.contributor.affiliation","Teipel, Stefan; 13German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany"],["dc.contributor.affiliation","Tscheuschler, Maike; 23Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany"],["dc.contributor.affiliation","Vukovich, Ruth; 1Department of Psychiatry and Psychotherapy, Göttingen, Germany"],["dc.contributor.affiliation","Wiltfang, Jens; 1Department of Psychiatry and Psychotherapy, Göttingen, Germany"],["dc.contributor.affiliation","Duezel, Emrah; 9German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany"],["dc.contributor.affiliation","Jessen, Frank; 23Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany"],["dc.contributor.affiliation","Goya-Maldonado, Roberto; 1Department of Psychiatry and Psychotherapy, Göttingen, Germany"],["dc.contributor.author","Hansen, Niels"],["dc.contributor.author","Singh, Aditya"],["dc.contributor.author","Bartels, Claudia"],["dc.contributor.author","Brosseron, Frederic"],["dc.contributor.author","Buerger, Katharina"],["dc.contributor.author","Cetindag, Arda C."],["dc.contributor.author","Dobisch, Laura"],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Ertl-Wagner, Birgit B."],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Fliessbach, Klaus"],["dc.contributor.author","Haynes, John D."],["dc.contributor.author","Heneka, Michael T."],["dc.contributor.author","Janowitz, Daniel"],["dc.contributor.author","Kilimann, Ingo"],["dc.contributor.author","Laske, Christoph"],["dc.contributor.author","Metzger, Coraline D."],["dc.contributor.author","Munk, Matthias H."],["dc.contributor.author","Peters, Oliver"],["dc.contributor.author","Priller, Josef"],["dc.contributor.author","Roy, Nina"],["dc.contributor.author","Scheffler, Klaus"],["dc.contributor.author","Schneider, Anja"],["dc.contributor.author","Spottke, Annika"],["dc.contributor.author","Spruth, Eike J."],["dc.contributor.author","Teipel, Stefan"],["dc.contributor.author","Tscheuschler, Maike"],["dc.contributor.author","Vukovich, Ruth"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Duezel, Emrah"],["dc.contributor.author","Jessen, Frank"],["dc.date.accessioned","2021-06-01T09:42:25Z"],["dc.date.available","2021-06-01T09:42:25Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:21:10Z"],["dc.description.abstract","Background: The hippocampus and its subfields (HippSub) are reported to be diminished in patients with Alzheimer's disease (AD), bipolar disorder (BD), and major depressive disorder (MDD). We examined these groups vs healthy controls (HC) to reveal HippSub alterations between diseases. Methods: We segmented 3T-MRI T2-weighted hippocampal images of 67 HC, 58 BD, and MDD patients from the AFFDIS study and 137 patients from the DELCODE study assessing cognitive decline, including subjective cognitive decline (SCD), amnestic mild cognitive impairment (aMCI), and AD, via Free Surfer 6.0 to compare volumes across groups. Results: Groups differed significantly in several HippSub volumes, particularly between patients with AD and mood disorders. In comparison to HC, significant lower volumes appear in aMCI and AD groups in specific subfields. Smaller volumes in the left presubiculum are detected in aMCI and AD patients, differing from the BD group. A significant linear regression is seen between left hippocampus volume and duration since the first depressive episode. Conclusions: HippSub volume alterations were observed in AD, but not in early-onset MDD and BD, reinforcing the notion of different neural mechanisms in hippocampal degeneration. Moreover, duration since the first depressive episode was a relevant factor explaining the lower left hippocampal volumes present in groups."],["dc.identifier.doi","10.3389/fnagi.2021.626974"],["dc.identifier.eissn","1663-4365"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85247"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1663-4365"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Hippocampal and Hippocampal-Subfield Volumes From Early-Onset Major Depression and Bipolar Disorder to Cognitive Decline"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article [["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Translational Psychiatry"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Singh, Aditya"],["dc.contributor.author","Erwin-Grabner, Tracy"],["dc.contributor.author","Sutcliffe, Grant"],["dc.contributor.author","Paulus, Walter"],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Antal, Andrea"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.date.accessioned","2020-12-10T18:09:40Z"],["dc.date.available","2020-12-10T18:09:40Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1038/s41398-020-0754-5"],["dc.identifier.eissn","2158-3188"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17202"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73723"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Default mode network alterations after intermittent theta burst stimulation in healthy subjects"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2022Journal Article [["dc.bibliographiccitation.artnumber","e2230367"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","JAMA Network Open"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Hellmann-Regen, Julian"],["dc.contributor.author","Clemens, Vera"],["dc.contributor.author","Grözinger, Michael"],["dc.contributor.author","Kornhuber, Johannes"],["dc.contributor.author","Reif, Andreas"],["dc.contributor.author","Prvulovic, David"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Gruber, Oliver"],["dc.contributor.author","Schüle, Cornelius"],["dc.contributor.author","Heuser, Isabella"],["dc.date.accessioned","2022-10-04T10:21:24Z"],["dc.date.available","2022-10-04T10:21:24Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1001/jamanetworkopen.2022.30367"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114402"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-600"],["dc.relation.eissn","2574-3805"],["dc.title","Effect of Minocycline on Depressive Symptoms in Patients With Treatment-Resistant Depression"],["dc.title.alternative","A Randomized Clinical Trial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2014Journal Article [["dc.bibliographiccitation.artnumber","e94973"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Schilbach, Leonhard"],["dc.contributor.author","Müller, Veronika I."],["dc.contributor.author","Hoffstaedter, Felix"],["dc.contributor.author","Clos, Mareike"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Gruber, Oliver"],["dc.contributor.author","Eickhoff, Simon B."],["dc.contributor.editor","Marinazzo, Daniele"],["dc.date.accessioned","2017-09-07T11:47:50Z"],["dc.date.available","2017-09-07T11:47:50Z"],["dc.date.issued","2014"],["dc.description.abstract","Alterations of social cognition and dysfunctional interpersonal expectations are thought to play an important role in the etiology of depression and have, thus, become a key target of psychotherapeutic interventions. The underlying neurobiology, however, remains elusive. Based upon the idea of a close link between affective and introspective processes relevant for social interactions and alterations thereof in states of depression, we used a meta-analytically informed network analysis to investigate resting-state functional connectivity in an introspective socio-affective (ISA) network in individuals with and without depression. Results of our analysis demonstrate significant differences between the groups with depressed individuals showing hyperconnectivity of the ISA network. These findings demonstrate that neurofunctional alterations exist in individuals with depression in a neural network relevant for introspection and socio-affective processing, which may contribute to the interpersonal difficulties that are linked to depressive symptomatology."],["dc.identifier.doi","10.1371/journal.pone.0094973"],["dc.identifier.gro","3150741"],["dc.identifier.pmid","24759619"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11609"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7531"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Meta-Analytically Informed Network Analysis of Resting State fMRI Reveals Hyperconnectivity in an Introspective Socio-Affective Network in Depression"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2015Journal Article [["dc.bibliographiccitation.firstpage","806"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Molecular Psychiatry"],["dc.bibliographiccitation.lastpage","812"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Schmaal, L."],["dc.contributor.author","Veltman, D. J."],["dc.contributor.author","Erp, T. G. M. van"],["dc.contributor.author","Sämann, P. G."],["dc.contributor.author","Frodl, T."],["dc.contributor.author","Jahanshad, N."],["dc.contributor.author","Loehrer, E."],["dc.contributor.author","Tienson, H."],["dc.contributor.author","Hofman, A."],["dc.contributor.author","Niessen, W. J."],["dc.contributor.author","Vernooij, M. W."],["dc.contributor.author","Ikram, M. A."],["dc.contributor.author","Wittfeld, K."],["dc.contributor.author","Grabe, H. J."],["dc.contributor.author","Block, A."],["dc.contributor.author","Hegenscheid, K."],["dc.contributor.author","Völzke, H."],["dc.contributor.author","Hoehn, D."],["dc.contributor.author","Czisch, M."],["dc.contributor.author","Lagopoulos, J."],["dc.contributor.author","Hatton, S. N."],["dc.contributor.author","Hickie, I. B."],["dc.contributor.author","Goya-Maldonado, R."],["dc.contributor.author","Krämer, B."],["dc.contributor.author","Gruber, O."],["dc.contributor.author","Couvy-Duchesne, B."],["dc.contributor.author","Renteria, M. E."],["dc.contributor.author","Strike, L. T."],["dc.contributor.author","Mills, N. T."],["dc.contributor.author","Zubicaray, G. I. de"],["dc.contributor.author","McMahon, K. L."],["dc.contributor.author","Medland, S. E."],["dc.contributor.author","Martin, N. G."],["dc.contributor.author","Gillespie, N. A."],["dc.contributor.author","Wright, M. J."],["dc.contributor.author","Hall, G. B."],["dc.contributor.author","MacQueen, G. M."],["dc.contributor.author","Frey, E. M."],["dc.contributor.author","Carballedo, A."],["dc.contributor.author","van Velzen, L. S."],["dc.contributor.author","Tol, M.-J. van"],["dc.contributor.author","Wee, N. J. A. van der"],["dc.contributor.author","Veer, I. M."],["dc.contributor.author","Walter, H."],["dc.contributor.author","Schnell, K."],["dc.contributor.author","Schramm, E."],["dc.contributor.author","Normann, C."],["dc.contributor.author","Schoepf, D."],["dc.contributor.author","Konrad, C."],["dc.contributor.author","Zurowski, B."],["dc.contributor.author","Nickson, T."],["dc.contributor.author","McIntosh, A. M."],["dc.contributor.author","Papmeyer, M."],["dc.contributor.author","Whalley, H. C."],["dc.contributor.author","Sussmann, J. E."],["dc.contributor.author","Godlewska, B. R."],["dc.contributor.author","Cowen, P. J."],["dc.contributor.author","Fischer, F. H."],["dc.contributor.author","Rose, M."],["dc.contributor.author","Penninx, B. W. J. H."],["dc.contributor.author","Thompson, P. M."],["dc.contributor.author","Hibar, D. P."],["dc.date.accessioned","2017-09-07T11:47:51Z"],["dc.date.available","2017-09-07T11:47:51Z"],["dc.date.issued","2015"],["dc.description.abstract","The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identify subcortical brain volumes that robustly discriminate MDD patients from healthy controls. Relative to controls, patients had significantly lower hippocampal volumes (Cohen's d=-0.14, % difference=-1.24). This effect was driven by patients with recurrent MDD (Cohen's d=-0.17, % difference=-1.44), and we detected no differences between first episode patients and controls. Age of onset ⩽21 was associated with a smaller hippocampus (Cohen's d=-0.20, % difference=-1.85) and a trend toward smaller amygdala (Cohen's d=-0.11, % difference=-1.23) and larger lateral ventricles (Cohen's d=0.12, % difference=5.11). Symptom severity at study inclusion was not associated with any regional brain volumes. Sample characteristics such as mean age, proportion of antidepressant users and proportion of remitted patients, and methodological characteristics did not significantly moderate alterations in brain volumes in MDD. Samples with a higher proportion of antipsychotic medication users showed larger caudate volumes in MDD patients compared with controls. This currently largest worldwide effort to identify subcortical brain alterations showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status."],["dc.identifier.doi","10.1038/mp.2015.69"],["dc.identifier.gro","3150737"],["dc.identifier.pmid","26122586"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12869"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7526"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","1359-4184"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2015Journal Article [["dc.bibliographiccitation.firstpage","808"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Human Brain Mapping"],["dc.bibliographiccitation.lastpage","818"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Brodmann, Katja"],["dc.contributor.author","Keil, Maria"],["dc.contributor.author","Trost, Sarah"],["dc.contributor.author","Dechent, Peter"],["dc.contributor.author","Gruber, Oliver"],["dc.date.accessioned","2017-09-07T11:47:50Z"],["dc.date.available","2017-09-07T11:47:50Z"],["dc.date.issued","2015"],["dc.description.abstract","Misdiagnosing bipolar depression can lead to very deleterious consequences of mistreatment. Although depressive symptoms may be similarly expressed in unipolar and bipolar disorder, changes in specific brain networks could be very distinct, being therefore informative markers for the differential diagnosis. We aimed to characterize specific alterations in candidate large-scale networks (frontoparietal, cingulo-opercular, and default mode) in symptomatic unipolar and bipolar patients using resting state fMRI, a cognitively low demanding paradigm ideal to investigate patients.MethodsNetworks were selected after independent component analysis, compared across 40 patients acutely depressed (20 unipolar, 20 bipolar), and 20 controls well-matched for age, gender, and education levels, and alterations were correlated to clinical parameters.ResultsDespite comparable symptoms, patient groups were robustly differentiated by large-scale network alterations. Differences were driven in bipolar patients by increased functional connectivity in the frontoparietal network, a central executive and externally-oriented network. Conversely, unipolar patients presented increased functional connectivity in the default mode network, an introspective and self-referential network, as much as reduced connectivity of the cingulo-opercular network to default mode regions, a network involved in detecting the need to switch between internally and externally oriented demands. These findings were mostly unaffected by current medication, comorbidity, and structural changes. Moreover, network alterations in unipolar patients were significantly correlated to the number of depressive episodes. Conclusion: Unipolar and bipolar groups displaying similar symptomatology could be clearly distinguished by characteristic changes in large-scale networks, encouraging further investigation of network fingerprints for clinical use."],["dc.identifier.doi","10.1002/hbm.23070"],["dc.identifier.gro","3150744"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7534"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","1065-9471"],["dc.title","Differentiating unipolar and bipolar depression by alterations in large-scale brain networks"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]Details DOI2022-07-07Journal Article Research Paper [["dc.bibliographiccitation.journal","Human Brain Mapping"],["dc.contributor.author","Komorowski, Arkadiusz"],["dc.contributor.author","Murgaš, Matej"],["dc.contributor.author","Vidal, Ramon"],["dc.contributor.author","Singh, Aditya"],["dc.contributor.author","Gryglewski, Gregor"],["dc.contributor.author","Kasper, Siegfried"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Lanzenberger, Rupert"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.date.accessioned","2022-08-11T12:45:29Z"],["dc.date.available","2022-08-11T12:45:29Z"],["dc.date.issued","2022-07-07"],["dc.description.abstract","The exploration of the spatial relationship between gene expression profiles and task-evoked response patterns known to be altered in neuropsychiatric disorders, for example depression, can guide the development of more targeted therapies. Here, we estimated the correlation between human transcriptome data and two different brain activation maps measured with functional magnetic resonance imaging (fMRI) in healthy subjects. Whole-brain activation patterns evoked during an emotional face recognition task were associated with topological mRNA expression of genes involved in cellular transport. In contrast, fMRI activation patterns related to the acceptance of monetary rewards were associated with genes implicated in cellular localization processes, metabolism, translation, and synapse regulation. An overlap of these genes with risk genes from major depressive disorder genome-wide association studies revealed the involvement of the master regulators TCF4 and PAX6 in emotion and reward processing. Overall, the identification of stable relationships between spatial gene expression profiles and fMRI data may reshape the prospects for imaging transcriptomics studies."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.1002/hbm.26001"],["dc.identifier.pmid","35796185"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112712"],["dc.language.iso","en"],["dc.relation.eissn","1097-0193"],["dc.relation.issn","1065-9471"],["dc.relation.issn","1097-0193"],["dc.rights","CC BY 4.0"],["dc.title","Regional gene expression patterns are associated with task-specific brain activation during reward and emotion processing measured with functional MRI"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2016Journal Article [["dc.bibliographiccitation.firstpage","2931"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Human Brain Mapping"],["dc.bibliographiccitation.lastpage","2942"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Poeppl, Timm B."],["dc.contributor.author","Müller, Veronika I."],["dc.contributor.author","Hoffstaedter, Felix"],["dc.contributor.author","Bzdok, Danilo"],["dc.contributor.author","Laird, Angela R."],["dc.contributor.author","Fox, Peter T."],["dc.contributor.author","Langguth, Berthold"],["dc.contributor.author","Rupprecht, Rainer"],["dc.contributor.author","Sorg, Christian"],["dc.contributor.author","Riedl, Valentin"],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Gruber, Oliver"],["dc.contributor.author","Eickhoff, Simon B."],["dc.date.accessioned","2017-09-07T11:47:52Z"],["dc.date.available","2017-09-07T11:47:52Z"],["dc.date.issued","2016"],["dc.description.abstract","Major depressive disorder (MDD) involves impairment in cognitive and interpersonal functioning. The right temporoparietal junction (RTPJ) is a key brain region subserving cognitive-attentional and social processes. Yet, findings on the involvement of the RTPJ in the pathophysiology of MDD have so far been controversial. Recent connectivity-based parcellation data revealed a topofunctional dualism within the RTPJ, linking its anterior and posterior part (aRTPJ/pRTPJ) to antagonistic brain networks for attentional and social processing, respectively. Comparing functional resting-state connectivity of the aRTPJ and pRTPJ in 72 MDD patients and 76 well-matched healthy controls, we found a seed (aRTPJ/pRTPJ) × diagnosis (MDD/controls) interaction in functional connectivity for eight regions. Employing meta-data from a large-scale neuroimaging database, functional characterization of these regions exhibiting differentially altered connectivity with the aRTPJ/pRTPJ revealed associations with cognitive (dorsolateral prefrontal cortex, parahippocampus) and behavioral (posterior medial frontal cortex) control, visuospatial processing (dorsal visual cortex), reward (subgenual anterior cingulate cortex, medial orbitofrontal cortex, posterior cingulate cortex), as well as memory retrieval and social cognition (precuneus). These findings suggest that an imbalance in connectivity of subregions, rather than disturbed connectivity of the RTPJ as a whole, characterizes the connectional disruption of the RTPJ in MDD. This imbalance may account for key symptoms of MDD in cognitive, emotional, and social domains. Hum Brain Mapp 37:2931-2942, 2016. © 2016 Wiley Periodicals, Inc."],["dc.identifier.doi","10.1002/hbm.23217"],["dc.identifier.gro","3150740"],["dc.identifier.pmid","27090056"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7529"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.relation.issn","1065-9471"],["dc.subject","connectivity; depression; functional magnetic resonance imaging; major depressive disorder; resting state; right temporoparietal junction"],["dc.title","Imbalance in subregional connectivity of the right temporoparietal junction in major depression"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]Details DOI PMID PMC