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Functional Connectivity Between Extrastriate Body Area and Default Mode Network Predicts Depersonalization Symptoms in Major Depression: Findings From an A Priori Specified Multinetwork Comparison
Linköping University, Department of Clinical and Experimental Medicine, Center for Social and Affective Neuroscience. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience.
Roosevelt University, Chicago, Illinois.
Linköping University, Department of Clinical and Experimental Medicine, Center for Social and Affective Neuroscience. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience.
University of Amsterdam, Amsterdam, The Netherlands.
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2019 (English)In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, ISSN 2451-9022, Vol. 4, no 7, p. 627-635Article in journal (Refereed) Published
Abstract [en]

Background

Depersonalization/derealization disorder is a dissociative disorder characterized by feelings of unreality and detachment from the self and surroundings. Depersonalization/derealization disorder is classified as a primary disorder, but depersonalization symptoms are frequently observed in mood and anxiety disorders. In the context of major depressive disorder (MDD), depersonalization symptoms are associated with greater depressive severity as indexed by treatment resistance, inpatient visits, and duration of depressive episodes. In the current investigation, we tested four network-based, neural-functional hypotheses of depersonalization in MDD. These hypotheses were framed in terms of functional relationships between 1) extrastriate body area and default mode network (DMN); 2) hippocampus and DMN; 3) medial prefrontal cortex and ventral striatum; and 4) posterior and anterior insular cortex.

Methods

We conducted functional magnetic resonance imaging during resting state on 28 female patients with MDD and 27 control subjects with no history of a psychiatric disorder. Functional connectivity between seed and target regions as specified by our network-level hypotheses was computed and correlated with scores on the Cambridge Depersonalization Scale. We used a conservative, unbiased bootstrapping procedure to test the significance of neural-behavioral correlations observed under each of the four models tested.

Results

Of the four neural-functional models of depersonalization symptoms tested, only the model proposing that reduced connectivity between the extrastriate body area and DMN predicts higher levels of depersonalization symptoms in MDD was confirmed.

Conclusions

Our results indicate that depersonalization/derealization disorder symptoms in patients with depression are related to reduced functional connectivity between brain regions that are proposed to support processing of body-related (extrastriate body area) and autobiographical (DMN) information.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 4, no 7, p. 627-635
Keywords [en]
Default mode network; Depersonalization/derealization disorder; Extrastriate body area; Functional connectivity; Major depressive disorder
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:liu:diva-162355DOI: 10.1016/j.bpsc.2019.03.007ISI: 000494424200006PubMedID: 31103548Scopus ID: 2-s2.0-85065575555OAI: oai:DiVA.org:liu-162355DiVA, id: diva2:1374023
Note

Funding Agencies|Warren Foundation; Swedish Research CouncilSwedish Research Council; Region Ostergotland

Available from: 2019-11-28 Created: 2019-11-28 Last updated: 2023-10-13Bibliographically approved
In thesis
1. Immunological Changes and Brain Function over a Psychotic-Depressive Spectrum
Open this publication in new window or tab >>Immunological Changes and Brain Function over a Psychotic-Depressive Spectrum
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Psychotic and depressive disorders are severe psychiatric disorders that contribute significantly to the global burden of disease. They are distinct disorders with different symptom profiles according to both the Diagnostic and Statistical Manual and the International Classification of Diseases. However, these disorders share commonalities in various aspects, such as high comorbidity, prevalence of subclinical symptoms, and shared genetics. Furthermore, both disorders have been associated with a dysregulated immune system functioning.

In this thesis, we aimed to identify common biological dimensions of both depression and psychosis by first investigating proteins related to immune system activation in depression and psychosis separately, and then identifying biological underpinnings of psychotic-like symptoms in depression.Specifically, we first assessed in major depressive disorder central nervous system levels of metabolites along the kynurenine pathway, a pathway that is regulated by the immune system and implicated in depressive and psychotic disorders (paper I). We found an imbalance between neuroprotective versus neurotoxic metabolites in blood and decreased levels of a neuroprotective metabolite in cerebrospinal fluid of patients with depression.

Next, we assessed patterns of proteins implicated in immune-system function that distinguish first episode psychosis and healthy controls (paper II). Results indicate prominent changes in patients compared to controls, partially replicating previous findings and partially highlighting proteins that have not previously been assessed in psychosis.

Lastly, we investigated psychotic-like symptoms in patients with major depressive disorder, finding a relation to immune system markers (paper III) and changes in connectivity between brain structures that integrate information about the physical body and autobiographic information into a sense of self (paper IV).

In summary, the results from this thesis suggest that both in major depressive disorder and first episode psychosis there might be a dysregulation of the immune system and closely related systems such as the kynurenine pathway. These commonalities could further underlie the prevalence of subclinical psychotic-like symptoms in major depressive disorder. Ultimately, a better understanding of the underlying biological mechanisms of psychiatric disorders and, transdiagnostically, their symptoms will help formulate empiricallyinformed frameworks to guide clinical diagnostic processes and treatments.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2023. p. 87
Series
Linköping University Medical Dissertations, ISSN 0345-0082 ; 1867
National Category
Psychiatry
Identifiers
urn:nbn:se:liu:diva-198464 (URN)10.3384/9789180753098 (DOI)9789180753081 (ISBN)9789180753098 (ISBN)
Public defence
2023-11-24, Berzeliussalen, Building 463, Campus US, Linköping, 09:00 (English)
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Supervisors
Note

Funding agencies: Drottning Silvias Jubileumsfond, Fonden för Psykisk Hälsa, Swedish Research Council, Region Östergötland (ALF), Medical Research Council of Southeast Sweden (ALF), Horizon 2020, Warren Foundation, Johnson & Johnson Innovation, National Institutes of Health, MD Anderson Cancer Support Grant, The Finnish Society of Sciences, Hjärnfonden, Liv and Hälsa Foundation, Finska Läkarsällskapet, Magnus Ehrnrooth Foundation, Sigrid Jusélius Foundation, Minerva Foundation, European Regional Development Fund, Estonian Research Foundation

Available from: 2023-10-13 Created: 2023-10-13 Last updated: 2023-10-24Bibliographically approved

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Paul, Elisabeth R.Kämpe, RobinHamilton, Paul J.

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