Familial Risk and a Genome-Wide Supported DRD2 Variant for Schizophrenia Predict Lateral Prefrontal-Amygdala Effective Connectivity During Emotion Processing

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Quarto , T , Paparella , I , De Tullio , D , Viscanti , C , Fazio , L , Taurisano , P , Romano , R , Rampino , A , Masellis , R , Popolizio , T , Selvaggi , P , Pergola , G , Bertolino , A & Blasi , G 2018 , ' Familial Risk and a Genome-Wide Supported DRD2 Variant for Schizophrenia Predict Lateral Prefrontal-Amygdala Effective Connectivity During Emotion Processing ' , Schizophrenia bulletin , vol. 44 , no. 4 , pp. 834-843 . https://doi.org/10.1093/schbul/sbx128

Title: Familial Risk and a Genome-Wide Supported DRD2 Variant for Schizophrenia Predict Lateral Prefrontal-Amygdala Effective Connectivity During Emotion Processing
Author: Quarto, Tiziana; Paparella, Isabella; De Tullio, Davide; Viscanti, Ciovanna; Fazio, Leonardo; Taurisano, Paolo; Romano, Raffaella; Rampino, Antonio; Masellis, Rita; Popolizio, Teresa; Selvaggi, Pierluigi; Pergola, Giulio; Bertolino, Alessandro; Blasi, Giuseppe
Contributor organization: Behavioural Sciences
Elvira Brattico / Principal Investigator
University of Helsinki
Department of Psychology and Logopedics
Faculty of Medicine
Cognitive Brain Research Unit
Date: 2018-07
Language: eng
Number of pages: 10
Belongs to series: Schizophrenia bulletin
ISSN: 0586-7614
DOI: https://doi.org/10.1093/schbul/sbx128
URI: http://hdl.handle.net/10138/304064
Abstract: The brain functional mechanisms translating genetic risk into emotional symptoms in schizophrenia (SCZ) may include abnormal functional integration between areas key for emotion processing, such as the amygdala and the lateral prefrontal cortex (LPFC). Indeed, investigation of these mechanisms is also complicated by emotion processing comprising different subcomponents and by disease-associated state variables. Here, our aim was to investigate the relationship between risk for SCZ and effective connectivity between the amygdala and the LPFC during different subcomponents of emotion processing. Thus, we first characterized with dynamic causal modeling (DCM) physiological patterns of LPFC amygdala effective connectivity in healthy controls (HC) during implicit and explicit emotion processing. Then, we compared DCM patterns in a subsample of HC, in patients with SCZ and in healthy siblings of patients (SIB), matched for demographics. Finally, we investigated in HC association of LPFC amygdala effective connectivity with a genome-wide supported variant increasing genetic risk for SCZ and possibly relevant to emotion processing (DRD2 rs2514218). In HC, we found that a "bottom-up" amygdala-to-LPFC pattern during implicit processing and a "top-down" LPFC-to-amygdala pattern during explicit processing were the most likely directional models of effective connectivity. Differently, implicit emotion processing in SIB, SCZ, and HC homozygous for the SCZ risk rs2514218 C allele was associated with decreased probability for the "bottom-up" as well as with increased probability for the "top-down" model. These findings suggest that task-specific anomaly in the directional flow of information or disconnection between the amygdala and the LPFC is a good candidate endophenotype of SCZ.
Subject: endophenotype
DRD2 rs2514218
dynamic causal model
implicit emotion processing
explicit emotion processing
DIFFERENTIAL NEURAL RESPONSE
FACIAL EXPRESSIONS
SYNAPTIC PLASTICITY
COGNITIVE DYSMETRIA
UNAFFECTED SIBLINGS
BRAIN ACTIVATION
NEGATIVE EMOTION
FEAR
PSYCHOSIS
CORTEX
3124 Neurology and psychiatry
515 Psychology
3111 Biomedicine
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: publishedVersion


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