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Orbitofrontal volume reductions during emotion recognition in patients with major depression

Johanna Scheuerecker
2010 Journal of Psychiatry & Neuroscience  
311 Background: Major depressive disorder is associated with both structural and functional alterations in the emotion regulation network of the central nervous system. The relation between structural and functional changes is largely unknown. Therefore, we sought to determine the relation between structural differences and functional alterations during the recognition of emotional facial expressions. Methods: We examined 13 medication-free patients with major depression and 15 healthy controls
more » ... by use of structural T 1 -weighted high-resolution magnetic resonance imaging (MRI) and functional MRI during 1 session. We set the statistical threshold for the analysis of imaging data to p < 0.001 (uncorrected). Results: As shown by voxel-based morphometry, depressed patients had reductions in orbitofrontal cortex volume and increases in cerebellar volume. Additionally, depressed patients showed increased activity during emotion recognition in the middle frontal cortex, caudate nucleus, precuneus and lingual gyrus. Within this cerebral network, the orbitofrontal volumes were negatively correlated in depressed patients but not in healthy controls with changes in blood oxygen level-dependent signal in the middle frontal gyrus, caudate nucleus, precuneus and supplementary motor area. Limitations: Our results are limited by the relatively small sample size. Conclusions: This combined functional and structural MRI study provides evidence that the orbitofrontal cortex is a key area in major depression and that structural changes result in functional alterations within the emotional circuit. Whether these alterations in the orbitofrontal cortex are also related to persistent emotional dysfunction in remitted mental states and, therefore, are related to the risk of depression needs further exploration.
doi:10.1503/jpn.090076 pmid:20569645 pmcid:PMC2928284 fatcat:2p3lnu52mfgyvkdapnogulf52y

Brain activation predicts treatment improvement in patients with major depressive disorder

Andrea C. Samson, Eva Meisenzahl, Johanna Scheuerecker, Emma Rose, Veronika Schoepf, Martin Wiesmann, Thomas Frodl
2011 Journal of Psychiatric Research  
Johanna Scheuerecker recruited and assessed the participants, carried out the fMRI investigations and the preprocessing of fMRI data. Moreover, she reviewed the article.  ... 
doi:10.1016/j.jpsychires.2011.03.009 pmid:21477817 fatcat:nkpqfwdtbnb6xedfilwfyyqwiq

Neural correlates of treatment outcome in major depression

Danuta Lisiecka, Eva Meisenzahl, Johanna Scheuerecker, Veronica Schoepf, Peter Whitty, Aisling Chaney, Hans-Juergen Moeller, Martin Wiesmann, Thomas Frodl
2011 International Journal of Neuropsychopharmacology  
There is a need to identify clinically useful biomarkers in major depressive disorder (MDD). In this context the functional connectivity of the orbitofrontal cortex (OFC) to other areas of the affect regulation circuit is of interest. The aim of this study was to identify neural changes during antidepressant treatment and correlates associated with the treatment outcome. In an exploratory analysis it was investigated whether functional connectivity measures moderated a response to mirtazapine
more » ... d venlafaxine. Twenty-three drug-free patients with MDD were recruited from the Department of Psychiatry and Psychotherapy of the Ludwig-Maximilians University in Munich. The patients were subjected to a 4-wk randomized clinical trial with two common antidepressants, venlafaxine or mirtazapine. Functional connectivity of the OFC, derived from functional magnetic resonance imaging with an emotional face-matching task, was measured before and after the trial. Higher OFC connectivity with the left motor areas and the OFC regions prior to the trial characterized responders (p<0.05, false discovery rate). The treatment non-responders were characterized by higher OFC-cerebellum connectivity. The strength of response was positively correlated with functional coupling between left OFC and the caudate nuclei and thalami. Differences in longitudinal changes were detected between venlafaxine and mirtazapine treatment in the motor areas, cerebellum, cingulate gyrus and angular gyrus. These results indicate that OFC functional connectivity might be useful as a marker for therapy response to mirtazapine and venlafaxine and to reconstruct the differences in their mechanism of action.
doi:10.1017/s1461145710001513 pmid:21205435 fatcat:ea23flc465gixkad5safradzim

Neuroanatomical correlates of executive dysfunction in the at-risk mental state for psychosis

Nikolaos Koutsouleris, Katja Patschurek-Kliche, Johanna Scheuerecker, Petra Decker, Ronald Bottlender, Gisela Schmitt, Dan Rujescu, Ina Giegling, Christian Gaser, Maximilian Reiser, Hans-Jürgen Möller, Eva M. Meisenzahl
2010 Schizophrenia Research  
Author Johanna Scheuerecker participated in the collection of neuropsychological & MRI data, in the evaluation and discussion of the results.  ... 
doi:10.1016/j.schres.2010.08.026 pmid:20826078 fatcat:saux36vkkvdvdjj7bp7ildpbra

Neuroanatomical correlates of different vulnerability states for psychosis and their clinical outcomes

Nikolaos Koutsouleris, Gisela J. E. Schmitt, Christian Gaser, Ronald Bottlender, Johanna Scheuerecker, Philip McGuire, Bernhard Burgermeister, Christine Born, Maximilian Reiser, Hans-Jürgen Möller, Eva M. Meisenzahl
2009 British Journal of Psychiatry  
Schmitt, Christian Gaser, Ronald Bottlender, Johanna Scheuerecker, Philip McGuire, Bernhard Burgermeister, Christine Born, Maximilian Reiser, Hans-Jü rgen Mö ller and Eva M.  ... 
doi:10.1192/bjp.bp.108.052068 pmid:19721111 fatcat:k6vrwvmzwzesfkvlkdy6b2cesm

Structural correlates of psychopathological symptom dimensions in schizophrenia: A voxel-based morphometric study

Nikolaos Koutsouleris, Christian Gaser, Markus Jäger, Ronald Bottlender, Thomas Frodl, Silvia Holzinger, Gisela J.E Schmitt, Thomas Zetzsche, Bernhard Burgermeister, Johanna Scheuerecker, Christine Born, Maximilian Reiser (+2 others)
2008 NeuroImage  
Structural neuroimaging has substantially advanced the neurobiological research of schizophrenia by describing a range of focal brain alterations as possible neuroanatomical underpinnings of the disease. Despite this progress, a considerable heterogeneity of structural findings persists that may reflect the phenomenological diversity of schizophrenia. It is unclear whether the range of possible clinical disease manifestations relates to a core structural brain deficit or to distinct structural
more » ... orrelates. Therefore, gray matter density (GMD) differences between 175 schizophrenic patients (SZ) and 177 matched healthy control subjects (HC) were examined in a three-step approach using cross-sectional and conjunctional voxel-based morphometry (VBM): (1) analysis of structural alterations irrespective of symptomatology; (2) subdivision of the patient sample according to a threedimensional factor model of the PANSS and investigation of structural differences between these subsamples and healthy controls; (3) analysis of a common pattern of structural alterations present in all patient subsamples compared to healthy controls. Significant GMD reductions in patients compared to controls were identified within the prefrontal, limbic, paralimbic, temporal and thalamic regions. The disorganized symptom dimension was associated with bilateral alterations in temporal, insular and medial prefrontal cortices. Positive symptoms were associated with left-pronounced alterations in perisylvian regions and extended thalamic GMD losses. Negative symptoms were linked to the most extended alterations within orbitofrontal, medial prefrontal, lateral prefrontal and temporal cortices as well as limbic and subcortical structures. Thus, structural heterogeneity in schizophrenia may relate to specific patterns of GMD reductions that possibly share a common prefrontal-perisylvian pattern of structural brain alterations.
doi:10.1016/j.neuroimage.2007.10.029 pmid:18054834 fatcat:6ht3kgrwnzhgln3todhze3bxoa

Early Recognition and Disease Prediction in the At-Risk Mental States for Psychosis Using Neurocognitive Pattern Classification

Nikolaos Koutsouleris, Christos Davatzikos, Ronald Bottlender, Katja Patschurek-Kliche, Johanna Scheuerecker, Petra Decker, Christian Gaser, Hans-Jürgen Möller, Eva M. Meisenzahl
2011 Schizophrenia Bulletin  
doi:10.1093/schbul/sbr037 pmid:21576280 pmcid:PMC3494049 fatcat:mu43vipisre7zl3ghlswawwy6i

Multivariate patterns of brain-cognition associations relating to vulnerability and clinical outcome in the at-risk mental states for psychosis

Nikolaos Koutsouleris, Christian Gaser, Katja Patschurek-Kliche, Johanna Scheuerecker, Ronald Bottlender, Petra Decker, Gisela Schmitt, Maximilian Reiser, Hans-Jürgen Möller, Eva M. Meisenzahl
2011 Human Brain Mapping  
Neuropsychological deficits are a core feature of established psychosis and have been previously linked to fronto-temporo-limbic brain alterations. Both neurocognitive and neuroanatomical abnormalities characterize clinical at-risk mental states (ARMS) for psychosis. However, structure-cognition relationships in the ARMS have not been directly explored using multivariate neuroimaging techniques. Methods: Voxel-based morphometry and partial least squares were employed to study system-level
more » ... ance patterns between whole-brain morphological data and processing speed, working memory, verbal learning/IQ, and executive functions in 40 ARMS subjects and 30 healthy controls (HC). The detected structure-cognition covariance patterns were tested for significance and reliability using non-parametric permutation and bootstrap resampling. Results: We identified ARMS-specific covariance patterns that described a generalized association of neurocognitive measures with predominantly prefronto-temporo-limbic and subcortical structures as well as the interconnecting white matter. In the conversion group, this generalized profile particularly involved working memory and verbal IQ and was positively correlated with limbic, insular and subcortical volumes as well as negatively related to prefrontal, temporal, parietal, and occipital cortices. Conversely, the neurocognitive profiles in the HC group were confined to working memory, learning and IQ, which were diffusely associated with cortical and subcortical brain regions. Conclusions: These findings suggest that the ARMS and prodromal phase of psychosis are characterized by a convergent mapping from multi-domain neurocognitive measures to a set of prefronto-temporo-limbic and subcortical structures. Furthermore, a neuroanatomical separation between positive and negative brain-cognition correlations may not only point to a biological process determining the clinical risk for disease transition, but also to possible compensatory or dysmaturational neural processes. Hum Brain Mapp 00:000-000, -risk mental state for psychosis; brain-cognition correlations; voxel-based morphometry; multivariate analysis; partial least squares r r r Multivariate Patterns of Brain-Cognition Associations r r 3 r
doi:10.1002/hbm.21342 pmid:22887825 fatcat:gdhb3hj6lfgwpk2eegpw3oe4pm

Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition

Nikolaos Koutsouleris, Eva M. Meisenzahl, Christos Davatzikos, Ronald Bottlender, Thomas Frodl, Johanna Scheuerecker, Gisela Schmitt, Thomas Zetzsche, Petra Decker, Maximilian Reiser, Hans-Jürgen Möller, Christian Gaser
2009 Archives of General Psychiatry  
Context: Identification of individuals at high risk of developing psychosis has relied on prodromal symptomatology. Recently, machine learning algorithms have been successfully used for magnetic resonance imagingbased diagnostic classification of neuropsychiatric patient populations. Objective: To determine whether multivariate neuroanatomical pattern classification facilitates identification of individuals in different at-risk mental states (ARMS) of psychosis and enables the prediction of
more » ... ase transition at the individual level. Design: Multivariate neuroanatomical pattern classification was performed on the structural magnetic resonance imaging data of individuals in early or late ARMS vs healthy controls (HCs). The predictive power of the method was then evaluated by categorizing the baseline imaging data of individuals with transition to psychosis vs those without transition vs HCs after 4 years of clinical follow-up. Classification generalizability was estimated by cross-validation and by categorizing an independent cohort of 45 new HCs. Setting: Participants: The first classification analysis included 20 early and 25 late at-risk individuals and 25 matched HCs. The second analysis consisted of 15 individuals with transition, 18 without transition, and 17 matched HCs. Main Outcome Measures: Specificity, sensitivity, and accuracy of classification. Results: The 3-group, cross-validated classification accuracies of the first analysis were 86% (HCs vs the rest), 91% (early at-risk individuals vs the rest), and 86% (late at-risk individuals vs the rest). The accuracies in the second analysis were 90% (HCs vs the rest), 88% (individuals with transition vs the rest), and 86% (individuals without transition vs the rest). Independent HCs were correctly classified in 96% (first analysis) and 93% (second analysis) of cases. Conclusions: Different ARMSs and their clinical outcomes may be reliably identified on an individual basis by assessing patterns of whole-brain neuroanatomical abnormalities. These patterns may serve as valuable biomarkers for the clinician to guide early detection in the prodromal phase of psychosis.
doi:10.1001/archgenpsychiatry.2009.62 pmid:19581561 pmcid:PMC4135464 fatcat:f3biyuufpvfirfqqdsym7krsey

Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions

Brigitte Bogert, Taru Numminen-Kontti, Benjamin Gold, Mikko Sams, Jussi Numminen, Iballa Burunat, Jouko Lampinen, Elvira Brattico
2016 Neuropsychologia  
Acknowledgements We would like to thank Johanna Nohrström, Marita Kattelus, Mikko Heimölä, Toni Auranen and Prof. Christina Krause for assistance with data collection, Dr. Jyrki Mäkelä and Dr.  ...  ., 2000; Scheuerecker et al., 2007) , related to processing facial expressions and movements (Puce et al., 1998) , and limbic areas such as the dorsal anterior cingulate cortex (Scheuerecker et al.,  ...  2007; Williams et al., 2006) , involved in the regulation of emotion responses (Etkin et al., 2011) , and the medial prefrontal cortex (Fusar-Poli et al., 2009; Scheuerecker et al., 2007; Williams et  ... 
doi:10.1016/j.neuropsychologia.2016.07.005 pmid:27394152 fatcat:laiqogirgfaw7dlkhjsoxox4fa

Towards mapping the brain connectome in depression: Functional connectivity by perfusion SPECT

Ann Gardner, Disa Åstrand, Johanna Öberg, Hans Jacobsson, Cathrine Jonsson, Stig Larsson, Marco Pagani
2014 Psychiatry Research : Neuroimaging  
However, a volumetric increase of gray matter in the right cerebellum in early middle-aged medication-free depressed paptients has also been reported (Scheuerecker et al., 2010) , as well as increased  ... 
doi:10.1016/j.pscychresns.2014.05.008 pmid:24931481 fatcat:ex36xggnfzbyratva2f2svidbi

Ausstellungskalender

Die Redaktion
2021
Johanna und Josef Hegenbarth. 11.10.-20.1.14: Zeitenwende. Frühe Druck-graphik aus Italien und den Niederlanden. (K). Residenzschloss. -2.12.: Georg Baselitz.  ...  .-15.1.14: Hans Scheuerecker. Dachau. Neue Galerie. -3.11.: Organische Artefakte. Vom Finden und Erfinden der Natur. Gemäldegalerie und Bezirksmuseum. 15.11.-16.3.14: Bauern, Bürger und Künstler.  ... 
doi:10.11588/kc.2013.9/10.81290 fatcat:j2n7wxviurgglirvpykc7zlkeq

Distinguishing Remitted Bipolar Disorder from Remitted Unipolar Depression in Pre-adolescent Children: A Neural Reward Processing Perspective [article]

(:Unkn) Unknown, University, My, Lauren B. Alloy
2020
Thomas Olino, Tania Giovannetti, Johanna Jarcho, and Vishnu Murty, for the time and energy they have devoted as members of my dissertation committee.  ...  states with and without cues indicating their emotional valence Uncorrected at p < .05 or p < .005 Pictures UD > HC, Anticipation: Negative > Neutral UD > HC, Outcome: Negative > Neutral Scheuerecker  ... 
doi:10.34944/dspace/245 fatcat:fa4f2cvo5jbmrimr5dngwczmxe

Mädchenkonflikte - Jungenkonflikte [article]

Claudia Biskup, Universitätsbibliothek Der FU Berlin, Universitätsbibliothek Der FU Berlin
2013
bestimmte mit wem Sarah Kontakt hatte.Offensichtlich wurde diese Machtausübung von Eva und Sarah weitgehend akzeptiert, vermutlich weil Sarah und Johanna erklärte Freundinnen waren und Johanna die Zweisamkeit  ...  Damit werden die dem eigenen Geschlecht zugeschriebenen Hirnregionen unterscheidet sich vom weiblichen Gehirn (Biddulph, 2002; Bosinski, 2000; Brizendine, 2007; Eliot, 2010; Meisenzahl, Scheuerecker,  ... 
doi:10.17169/refubium-7814 fatcat:y5nrcablpncd7ldfh6r72fpcga