Brain functional connectivity correlates of response in the 7.5% CO2 inhalational model of generalized anxiety disorder: a pilot study
Brain functional connectivity correlates of response in the 7.5% CO2 inhalational model of generalized anxiety disorder: a pilot study
BACKGROUND: The 7.5% CO2 inhalational model can be used to explore potential treatments for generalized anxiety disorder. However, it is unknown how inter-individual variability in the functional architecture of negative affective valence systems might relate to anxiogenic response in this model. METHODS: A total of 13 healthy volunteers underwent functional magnetic resonance imaging during a passive emotional face perception task. We explored task-evoked functional connectivity in the potential threat system through generalized psychophysiological interaction analysis. Within 7 days, these participants underwent prolonged 7.5% CO2 inhalation, and results from the generalized psychophysiological interaction analysis were correlated with CO2 outcome measures. RESULTS: Functional connectivity between ventromedial prefrontal cortex and right amygdala positively correlated with heart rate and subjective anxiety, while connectivity between midcingulate cortex and left amygdala negatively correlated with anxiety during CO2 challenge. CONCLUSIONS: Response to CO2 challenge correlated with task-evoked functional connectivity in the potential threat system. Further studies should assess whether this translates into clinical populations.
Anxiety, CO2 Challenge, Experimental medicine, fMRI, functional connectivity
268-273
Huneke, Nathan
7e4a84ba-5aed-4966-adf2-58a92a0b4284
Broulidakis, Manoussos
59075dee-0c65-4378-ac04-411dedfcc6c1
Darekar, Angela
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Baldwin, David
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Garner, Matthew
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23 April 2020
Huneke, Nathan
7e4a84ba-5aed-4966-adf2-58a92a0b4284
Broulidakis, Manoussos
59075dee-0c65-4378-ac04-411dedfcc6c1
Darekar, Angela
327a5432-d7d2-4ce6-ab2b-0d5db86298c3
Baldwin, David
1beaa192-0ef1-4914-897a-3a49fc2ed15e
Garner, Matthew
3221c5b3-b951-4fec-b456-ec449e4ce072
Huneke, Nathan, Broulidakis, Manoussos, Darekar, Angela, Baldwin, David and Garner, Matthew
(2020)
Brain functional connectivity correlates of response in the 7.5% CO2 inhalational model of generalized anxiety disorder: a pilot study.
International Journal of Neuropsychopharmacology, 23 (4), , [pyaa019].
(doi:10.1093/ijnp/pyaa019).
Abstract
BACKGROUND: The 7.5% CO2 inhalational model can be used to explore potential treatments for generalized anxiety disorder. However, it is unknown how inter-individual variability in the functional architecture of negative affective valence systems might relate to anxiogenic response in this model. METHODS: A total of 13 healthy volunteers underwent functional magnetic resonance imaging during a passive emotional face perception task. We explored task-evoked functional connectivity in the potential threat system through generalized psychophysiological interaction analysis. Within 7 days, these participants underwent prolonged 7.5% CO2 inhalation, and results from the generalized psychophysiological interaction analysis were correlated with CO2 outcome measures. RESULTS: Functional connectivity between ventromedial prefrontal cortex and right amygdala positively correlated with heart rate and subjective anxiety, while connectivity between midcingulate cortex and left amygdala negatively correlated with anxiety during CO2 challenge. CONCLUSIONS: Response to CO2 challenge correlated with task-evoked functional connectivity in the potential threat system. Further studies should assess whether this translates into clinical populations.
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Accepted/In Press date: 14 March 2020
e-pub ahead of print date: 14 March 2020
Published date: 23 April 2020
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© The Author(s) 2020. Published by Oxford University Press on behalf of CINP.
Keywords:
Anxiety, CO2 Challenge, Experimental medicine, fMRI, functional connectivity
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Local EPrints ID: 438844
URI: http://eprints.soton.ac.uk/id/eprint/438844
ISSN: 1461-1457
PURE UUID: 128d302e-f0de-44ea-803b-b78b78df528f
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Date deposited: 25 Mar 2020 17:31
Last modified: 17 Mar 2024 03:59
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Author:
Nathan Huneke
Author:
Manoussos Broulidakis
Author:
Angela Darekar
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