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Extraction of prefronto-amygdalar pathways by combining probability maps

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dc.contributor.author Bracht T.
dc.contributor.author Tüscher O.
dc.contributor.author Schnell S.
dc.contributor.author Kreher B.
dc.contributor.author Rüsch N.
dc.contributor.author Glauche V.
dc.contributor.author Lieb K.
dc.contributor.author Ebert D.
dc.contributor.author Il'yasov K.
dc.contributor.author Hennig J.
dc.contributor.author Weiller C.
dc.contributor.author van Elst L.
dc.contributor.author Saur D.
dc.date.accessioned 2018-09-18T20:10:22Z
dc.date.available 2018-09-18T20:10:22Z
dc.date.issued 2009
dc.identifier.issn 0925-4927
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/137241
dc.description.abstract Many recent studies reported altered functional connectivity within the frontolimbic circuitry in a wide range of neuropsychiatric disorders. However, functional connectivity must rely on structural connections. In this study we applied a novel probabilistic fiber tracking method to assess the structural connectivity between the amygdala and different prefrontal brain regions in vivo. Twenty healthy subjects were investigated with diffusion tensor imaging. Probabilistic fiber tracking was started from the amygdala and different prefrontal brain regions. Resulting probability maps were combined using an extended multiplication of probabilistic maps to identify the most probable anatomical pathways connecting these structures. We found one ventral pathway through the uncinate fascicle, connecting the amygdala and the medial and lateral orbitofrontal cortices. In addition to this ventral pathway, we depicted distinct dorsal pathways (medial and lateral), which connect the amygdala with the anterior cingulate cortex and the dorsolateral prefrontal cortex. The dorso-medial pathway proceeds through the inferior thalamic peduncle, while the dorsolateral pathway travels through the external capsule. We believe that our approach provides a promising tool to assess the integrity of specific structural connections in patients with neuropsychiatric disorders. © 2009 Elsevier Ireland Ltd. All rights reserved.
dc.relation.ispartofseries Psychiatry Research - Neuroimaging
dc.subject Amygdala
dc.subject DTI
dc.subject Prefrontal cortex
dc.subject Probabilistic tracking
dc.title Extraction of prefronto-amygdalar pathways by combining probability maps
dc.type Article
dc.relation.ispartofseries-issue 3
dc.relation.ispartofseries-volume 174
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 217
dc.source.id SCOPUS09254927-2009-174-3-SID71849120179

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  • Публикации сотрудников КФУ Scopus [20180]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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