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01-09-2017 | Original Article

GABA content within medial prefrontal cortex predicts the variability of fronto-limbic effective connectivity

Authors: Stefano Delli Pizzi, Piero Chiacchiaretta, Dante Mantini, Giovanna Bubbico, Richard A. Edden, Marco Onofrj, Antonio Ferretti, Laura Bonanni

Published in: Brain Structure and Function | Issue 7/2017

Abstract

The amygdala-medial prefrontal cortex (mPFC) circuit plays a key role in social behavior. The amygdala and mPFC are bidirectionally connected, functionally and anatomically, via the uncinate fasciculus. Recent evidence suggests that GABA-ergic neurotransmission within the mPFC could be central to the regulation of amygdala activity related to emotions and anxiety processing. However, the functional and neurochemical interactions within amygdala-mPFC circuits are unclear. In the current study, multimodal magnetic resonance imaging techniques were combined to investigate effective connectivity within the amygdala-mPFC network and its relationship with mPFC neurotransmission in 22 healthy subjects aged between 41 and 88 years. Effective connectivity in the amygdala-mPFC circuit was assessed on resting-state functional magnetic resonance imaging data using spectral dynamic causal modelling. State and trait anxiety were also assessed. The mPFC was shown to be the target of incoming outputs from the amygdalae and the source of exciting inputs to the limbic system. The amygdalae were reciprocally connected by excitatory projections. About half of the variance relating to the strength of top–down endogenous connection between right amygdala and mPFC was explained by mPFC GABA levels. State anxiety was correlated with the strength of the endogenous connections between right amygdala and mPFC. We suggest that mPFC GABA content predicts variability in the effective connectivity within the mPFC-amygdala circuit, providing new insights on emotional physiology and the underlying functional and neurochemical interactions.

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Title: GABA content within medial prefrontal cortex predicts the variability of fronto-limbic effective connectivity
Authors: Stefano Delli Pizzi
Piero Chiacchiaretta
Dante Mantini
Giovanna Bubbico
Richard A. Edden
Marco Onofrj
Antonio Ferretti
Laura Bonanni
Publication date: 01-09-2017
Publisher: Springer Berlin Heidelberg
Published in: Brain Structure and Function / Issue 7/2017
Print ISSN: 1863-2653
Electronic ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-017-1399-x

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GABA content within medial prefrontal cortex predicts the variability of fronto-limbic effective connectivity

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Abstract

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