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1000 Titel
  • Modular segregation drives causality of the dynamic oscillatory network responses during threat processing
1000 Autor/in
  1. Gonzalez Escamilla, Gabriel |
  2. Chirumamilla, Venkata C |
  3. Koirala, Nabin |
  4. Anwar, Abdul R |
  5. Tüscher, Oliver |
  6. Vogt, Johannes |
  7. Horstmann, Johann-Philipp |
  8. Meyer, Benjamin |
  9. Bonanno, George A |
  10. Groppa, Sergiu |
  11. Muthuraman, Muthuraman |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-02-17
1000 Erschienen in
1000 Quellenangabe
  • 5(2):fcad157
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1093/braincomms/fcad035 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989139/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Physiological responses to threat and stress stimuli entrain synchronized neural oscillations among cerebral networks. Network architecture and adaptation may play a critical role in achieving optimal physiological responses, while alteration can lead to mental dysfunction. We reconstructed cortical and sub-cortical source time series from high-density electroencephalography, which were then fed into community architecture analysis. Dynamic alterations were evaluated in terms of flexibility, clustering coefficient and global and local efficiency, as parameters of community allegiance. Transcranial magnetic stimulation was applied over the dorsomedial prefrontal cortex during the time window relevant for physiological threat processing and effective connectivity was computed to test the causality of network dynamics. A theta band-driven community re-organization was evident in key anatomical regions conforming the central executive, salience network and default mode networks during instructed threat processing. Increased network flexibility entrained the physiological responses to threat processing. The effective connectivity analysis showed that information flow differed between theta and alpha bands and were modulated by transcranial magnetic stimulation in salience and default mode networks during threat processing. Theta oscillations drive dynamic community network re-organization during threat processing. Nodal community switches may modulate the directionality of information flow and determine physiological responses relevant to mental health.
1000 Sacherschließung
lokal Neurology
lokal Cellular and Molecular Neuroscience
lokal Biological Psychiatry
lokal Psychiatry and Mental health
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7209-1736|https://frl.publisso.de/adhoc/uri/Q2hpcnVtYW1pbGxhLCBWZW5rYXRhIEM=|https://orcid.org/0000-0002-8261-8271|https://frl.publisso.de/adhoc/uri/QW53YXIsIEFiZHVsIFI=|https://frl.publisso.de/adhoc/uri/VMO8c2NoZXIsIE9saXZlcg==|https://frl.publisso.de/adhoc/uri/Vm9ndCwgSm9oYW5uZXM=|https://orcid.org/0000-0003-1671-0819|https://frl.publisso.de/adhoc/uri/TWV5ZXIsIEJlbmphbWlu|https://frl.publisso.de/adhoc/uri/Qm9uYW5ubywgR2VvcmdlIEE=|https://frl.publisso.de/adhoc/uri/R3JvcHBhLCBTZXJnaXU=|https://orcid.org/0000-0001-6158-2663
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Boehringer Ingelheim Fonds |
1000 Fördernummer
  1. SFB-TR-128; SFB-CRC 1193; MU 4534/1-1
  2. BIF-03
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer SFB-TR-128; SFB-CRC 1193; MU 4534/1-1
  2. 1000 joinedFunding-child
    1000 Förderer Boehringer Ingelheim Fonds |
    1000 Förderprogramm -
    1000 Fördernummer BIF-03
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6472668.rdf
1000 Erstellt am 2023-12-14T07:58:58.815+0100
1000 Erstellt von 336
1000 beschreibt frl:6472668
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Thu Dec 14 13:07:20 CET 2023
1000 Objekt bearb. Thu Dec 14 13:07:02 CET 2023
1000 Vgl. frl:6472668
1000 Oai Id
  1. oai:frl.publisso.de:frl:6472668 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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