Trost, Sarah Makbule

[["dc.bibliographiccitation.firstpage","153"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Brain imaging and behavior"],["dc.bibliographiccitation.lastpage","182"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Thompson, Paul M."],["dc.contributor.author","Stein, Jason L."],["dc.contributor.author","Medland, Sarah E."],["dc.contributor.author","Hibar, Derrek P."],["dc.contributor.author","Arias-Vasquez, Alejandro"],["dc.contributor.author","Renteria, Miguel E."],["dc.contributor.author","Toro, Roberto"],["dc.contributor.author","Jahanshad, Neda"],["dc.contributor.author","Schumann, Gunter"],["dc.contributor.author","Franke, Barbara"],["dc.contributor.author","Trost, Sarah"],["dc.date.accessioned","2019-07-09T11:41:33Z"],["dc.date.available","2019-07-09T11:41:33Z"],["dc.date.issued","2014-06-01"],["dc.description.abstract","The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way."],["dc.identifier.doi","10.1007/s11682-013-9269-5"],["dc.identifier.fs","610752"],["dc.identifier.pmid","24399358"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12172"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58451"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1931-7565"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.mesh","Brain Mapping"],["dc.subject.mesh","Cooperative Behavior"],["dc.subject.mesh","Genome-Wide Association Study"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Meta-Analysis as Topic"],["dc.subject.mesh","Neuroimaging"],["dc.title","The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","326"],["dc.bibliographiccitation.journal","NeuroImage: Clinical"],["dc.bibliographiccitation.lastpage","335"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Schilbach, Leonhard"],["dc.contributor.author","Hoffstaedter, F."],["dc.contributor.author","Müller, V."],["dc.contributor.author","Cieslik, E.C."],["dc.contributor.author","Goya-Maldonado, Roberto"],["dc.contributor.author","Trost, Sarah"],["dc.contributor.author","Sorg, Christian"],["dc.contributor.author","Riedl, Valentin"],["dc.contributor.author","Jardri, R."],["dc.contributor.author","Sommer, Jan Henning"],["dc.contributor.author","Kogler, L."],["dc.contributor.author","Derntl, B."],["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","2015"],["dc.description.abstract","Schizophrenia and depression are prevalent psychiatric disorders, but their underlying neural bases remains poorly understood. Neuroimaging evidence has pointed towards the relevance of functional connectivity aberrations in default mode network (DMN) hubs, dorso-medial prefrontal cortex and precuneus, in both disorders, but commonalities and differences in resting state functional connectivity of those two regions across disorders has not been formally assessed. Here, we took a transdiagnostic approach to investigate resting state functional connectivity of those two regions in 75 patients with schizophrenia and 82 controls from 4 scanning sites and 102 patients with depression and 106 controls from 3 sites. Our results demonstrate common dysconnectivity patterns as indexed by a significant reduction of functional connectivity between precuneus and bilateral superior parietal lobe in schizophrenia and depression. Furthermore, our findings highlight diagnosis-specific connectivity reductions of the parietal operculum in schizophrenia relative to depression. In light of evidence that points towards the importance of the DMN for social cognitive abilities and well documented impairments of social interaction in both patient groups, it is conceivable that the observed transdiagnostic connectivity alterations may contribute to interpersonal difficulties, but this could not be assessed directly in our study as measures of social behavior were not available. Given the operculum's role in somatosensory integration, diagnosis-specific connectivity reductions may indicate a pathophysiological mechanism for basic self-disturbances that is characteristic of schizophrenia, but not depression."],["dc.identifier.doi","10.1016/j.nicl.2015.11.021"],["dc.identifier.gro","3150739"],["dc.identifier.pmid","26904405"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13320"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7528"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.relation.issn","2213-1582"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.subject","Default mode network; Major depression; Resting state functional connectivity; Schizophrenia; Transdiagnostic analysis; fMRI"],["dc.title","Transdiagnostic commonalities and differences in resting state functional connectivity of the default mode network in schizophrenia and major depression"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","39"],["dc.bibliographiccitation.journal","Frontiers in Psychiatry"],["dc.bibliographiccitation.volume","5"],["dc.contributor.affiliation","Focke, Niels K.; 1Department of Neurology/Epileptology and Hertie Institute of Clinical Brain Research, University Medical Center, Eberhard Karls University, Tuebingen, Germany"],["dc.contributor.affiliation","Trost, Sarah; 3Department of Psychiatry and Psychotherapy, Center for Translational Research in Systems Neuroscience and Clinical Psychiatry, Georg August University, Goettingen, Germany"],["dc.contributor.affiliation","Paulus, Walter; 2Department of Clinical Neurophysiology, University Medical Center, Georg August University, Goettingen, Germany"],["dc.contributor.affiliation","Falkai, Peter; 4Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany"],["dc.contributor.affiliation","Gruber, Oliver; 3Department of Psychiatry and Psychotherapy, Center for Translational Research in Systems Neuroscience and Clinical Psychiatry, Georg August University, Goettingen, Germany"],["dc.contributor.author","Focke, Niels K."],["dc.contributor.author","Trost, Sarah"],["dc.contributor.author","Paulus, Walter J."],["dc.contributor.author","Falkai, Peter"],["dc.contributor.author","Gruber, Oliver"],["dc.date.accessioned","2018-11-07T09:41:20Z"],["dc.date.available","2018-11-07T09:41:20Z"],["dc.date.issued","2014"],["dc.date.updated","2022-02-09T13:22:47Z"],["dc.description.abstract","Voxel-based morphometry (VBM) is a commonly used method to study volumetric variations on a whole brain basis. However, it is often criticized for potential confounds, mainly based on imperfect spatial registration. We therefore aimed to evaluate if VBM and \"gold standard\" manual volumetry are measuring the same effects with respect to subcortical gray matter volumes. Manual regions-of-interest were drawn in the hippocampus, amygdala, nucleus accumbens, thalamus, putamen, pallidum, and caudate nucleus bilaterally. Resulting volumes were used for a whole brain VBM correlation analysis with Statistical Parametric Mapping (SPM8). The hippocampus, amygdala, putamen, and caudate nucleus were correctly identified by SPM using the contemporary high-dimensional normalization (DARTEL toolbox). This strongly suggests that VBM and manual volumetry both are indeed measuring the same effects with regard to subcortical brain structures."],["dc.identifier.doi","10.3389/fpsyt.2014.00039"],["dc.identifier.eissn","1664-0640"],["dc.identifier.isi","000209902100001"],["dc.identifier.pmid","24782790"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11692"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33703"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-0640"],["dc.relation.issn","1664-0640"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.title","Do manual and voxel-based morphometry measure the same? A proof of concept study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","133"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Neuropsychobiology"],["dc.bibliographiccitation.lastpage","140"],["dc.bibliographiccitation.volume","65"],["dc.contributor.author","Trost, Sarah"],["dc.contributor.author","Gruber, Oliver"],["dc.date.accessioned","2018-11-07T09:15:25Z"],["dc.date.available","2018-11-07T09:15:25Z"],["dc.date.issued","2012"],["dc.description.abstract","Objective: Recent functional neuroimaging studies have provided evidence that human verbal working memory is represented by two complementary neural systems, a left lateralized premotor-parietal network implementing articulatory rehearsal and a presumably phylogenetically older bilateral anterior-prefrontal/inferior-parietal network subserving non-articulatory maintenance of phonological information. In order to corroborate these findings from functional neuroimaging, we performed a targeted behavioural study in patients with very selective and circumscribed brain lesions to key regions suggested to support these different subcomponents of human verbal working memory. Methods: Within a sample of over 500 neurological patients assessed with high-resolution structural magnetic resonance imaging, we identified 2 patients with corresponding brain lesions, one with an isolated lesion to Broca's area and the other with a selective lesion bilaterally to the anterior middle frontal gyrus. These 2 patients as well as groups of age matched healthy controls performed two circuit-specific verbal working memory tasks. In this way, we systematically assessed the hypothesized selective behavioural effects of these brain lesions on the different subcomponents of verbal working memory in terms of a double dissociation. Results: Confirming prior findings, the lesion to Broca's area led to reduced performance under articulatory rehearsal, whereas the non-articulatory maintenance of phonological information was unimpaired. Conversely, the bifrontopolar brain lesion was associated with impaired non-articulatory phonological working memory, whereas performance under articulatory rehearsal was unaffected. Conclusion: The present experimental neuropsychological study in patients with specific and circumscribed brain lesions confirms the hypothesized double dissociation of two complementary brain systems underlying verbal working memory in humans. In particular, the results demonstrate the functional relevance of the anterior prefrontal cortex for non-articulatory maintenance of phonological information and, in this way, provide further support for the evolutionary-based functional-neuroanatomical model of human working memory. Copyright (C) 2012 S. Karger AG, Basel"],["dc.identifier.doi","10.1159/000332335"],["dc.identifier.isi","000302875300004"],["dc.identifier.pmid","22378145"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9089"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27685"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","S. Karger AG"],["dc.relation.eissn","1423-0224"],["dc.relation.issn","0302-282X"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Evidence for a Double Dissociation of Articulatory Rehearsal and Non-Articulatory Maintenance of Phonological Information in Human Verbal Working Memory"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]