Evidence map›Paper›PMID 36846215›Full record

ArticleFrontiers in psychiatry2023

Altered hierarchical organization between empathy and gambling networks in disordered gamblers.

Hui Zhou, Yuwen He, Zhen Yuan, Yuan Zhou, Jingwen Yin, Robin Chark, Davis Ka Chio Fong, Lawrence Hoc Nang Fong, Anise M S Wu

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In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hui ZhouDepartment of Psychology, Faculty of Social Sciences, University of Macau, Macao, Macao SAR, China.
Yuwen HeCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, Macao SAR, China.
Zhen YuanCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, Macao SAR, China.
Yuan ZhouCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Jingwen YinDepartment of Psychology, Faculty of Social Sciences, University of Macau, Macao, Macao SAR, China.
Robin CharkCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, Macao SAR, China.
Davis Ka Chio FongCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, Macao SAR, China.
Lawrence Hoc Nang FongCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, Macao SAR, China.
Anise M S WuDepartment of Psychology, Faculty of Social Sciences, University of Macau, Macao, Macao SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the demonstrated association between empathy and gambling at the behavioral level, limited neuroimaging research on empathy and gambling disorder (GD) has been conducted. Whether and how the brain network of empathy and that of gambling interact in disordered gamblers has not been investigated. This study aimed to address this research gap by examining the hierarchical organizational patterns, in which the differences of causal interactions of these networks between disordered gamblers and healthy controls were revealed. Methods: Resting-state functional magnetic resonance imaging (fMRI) data of 32 disordered gamblers and 56 healthy controls were included in the formal analysis. Dynamic causal modeling was used to examine the effective connectivity within and between empathy and gambling networks among all participants. Results: All participants showed significant effective connectivity within and between empathy and gambling networks. However, compared with healthy controls, disordered gamblers displayed more excitatory effective connectivity within the gambling network, the tendency to display more excitatory effective connectivity from the empathy network to the gambling network, and reduced inhibitory effective connectivity from the gambling network to the empathy network. Conclusion: The exploratory study was the first to examine the effective connectivity within and between empathy and gambling networks among disordered gamblers and healthy controls. These results provided insights into the causal relationship between empathy and gambling from the neuroscientific perspective and further confirmed that disordered gamblers show altered effective connectivity within and between these two brain networks, which may be considered to be a potential neural index for GD identification. In addition, the altered interactions between empathy and gambling networks may also indicate the potential targets for the neuro-stimulation intervention approach (e.g., transcranial magnetic stimulation).

Indexed as

brain networksdynamic causal modelingeffective connectivityempathygambling disorderresting-state fMRI

Identifiers

PMID36846215
PMCPMC9947716

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