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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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What scans see when patients see defects: neuroimaging findings in body dysmorphic disorder

Thumbnail
Συγγραφέας
Machremi E., Bakirtzis C., Karakasi M.-V., Boziki M.-K., Siokas V., Aloizou A.-M., Dardiotis E., Grigoriadis N.
Ημερομηνία
2022
Γλώσσα
en
DOI
10.31083/j.jin2102045
Λέξη-κλειδί
amygdala
anterior cingulate
body dysmorphic disorder
cortical thickness (brain)
diffusion tensor imaging
disease severity
dopaminergic system
edge betweenness
facial recognition
functional connectivity
functional magnetic resonance imaging
functional neuroimaging
gray matter volume
human
inferior longitudinal fasciculus
limbic system
medial prefrontal cortex
morphometry
neuroimaging
occipital cortex
orbital cortex
parietal lobe
pathophysiology
Review
single photon emission computed tomography
social anxiety
temporal lobe
ventrolateral prefrontal cortex
visual information
volumetry
white matter
Yale Brown Obsessive Compulsive Scale
body dysmorphic disorder
diagnostic imaging
neuroimaging
vision
white matter
Body Dysmorphic Disorders
Humans
Neuroimaging
Visual Perception
White Matter
IMR Press Limited
Εμφάνιση Μεταδεδομένων
Επιτομή
Body dysmorphic disorder (BDD) is characterized by an individual’s preoccupation with a perceived defect in their appearance which to others may be barely noticeable or even completely unnoticed. It confers significant disturbances of everyday functioning in affected persons. The present review study provides an overview of neuroimaging findings on BDD. Literature on three platforms, PubMed, Google Scholar and PsycArticles of APA PsycNet, was searched for studies on patients with BBD compared with healthy controls (HCs), with a focus on neuroimaging findings. Out of an initial yield of 414 articles, 23 fulfilled inclusion criteria and were reviewed. Among the most remarkable findings were functional abnormalities in visual processing, frontostriatal and limbic systems, reduced global efficiency of White Matter (WM) connectivity, reduced cortical thickness in temporal and parietal lobes, and correlations between these neuroimaging findings and clinical variables such as symptom severity and degree of insight. Structural, volumetric and functional neuroimaging findings in BDD affected persons may help shed light on the pathophysiology and neurobiological underpinnings of this condition. Future studies should further investigate the use of imaging findings as potential prognostic biomarkers of treatment efficacy and disease outcome. Copyright: © 2022 The Author(s). Published by IMR Press.
URI
http://hdl.handle.net/11615/76054
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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