Does Unfairness Evoke Anger or Disgust? A Quantitative Neurofunctional Dissection Based on 25 Years of Neuroimaging DOI Creative Commons

Xianyang Gan,

Ran Zhang,

Zihao Zheng

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Abstract Over the last decades, traditional ‘Homo economicus’ model has been increasingly challenged by convergent evidence underscoring impact of emotions on decision-making. A classic example is perception unfairness operationalized in Ultimatum Game where humans readily sacrifice personal gains to punish those who violate fairness norms. While emotional mechanism underlying costly punishments widely acknowledged, distinct contributions moral (anger or disgust) remain debated, partly due methodological limitations conventional experiments. Here, we capitalize a quantitative neurofunctional dissection approach combining recent developments neuroimaging meta-analyses, behavioral-level, network-level, and neurochemical-level decoding data from 3,266 participants functional studies determine common neural representations between two emotions. Experience engaged widespread bilateral network encompassing insular, cingulate, frontal regions, with dorsal striatal regions mediating decision reject unfair offers. Disgust defensive-avoidance circuit amygdalar, occipital, while anger non-overlapping systems including mid-cingulate, thalamic, regions. Unfairness disgust respectively commonly anterior mid-insula, latter additionally showed recruitment ventrolateral prefrontal orbitofrontal cortices. Multimodal network, behavioral, serotonergic provided more granular convincing these results. Findings indicate shared neuroaffective basis unfairness-induced punishment behavior suggest brain evolutionarily shaped protect individuals harm enforce societal

Language: Английский

The research progress on effective connectivity in adolescent depression based on resting-state fMRI DOI Creative Commons
Xuan Deng,

Jizheng Cui,

Jun Zhao

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 10, 2025

Introduction The brain’s spontaneous neural activity can be recorded during rest using resting state functional magnetic resonance imaging (rs-fMRI), and intricate brain networks interaction patterns discovered through correlation analysis. As a crucial component of rs-fMRI analysis, effective connectivity analysis (EC) may provide detailed description the causal relationship information flow between different areas. It has been very helpful in identifying anomalies depressed teenagers. Methods This study explored abnormalities their impact on clinical symptoms patients with depression (rs-fMRI) We first introduce some common EC methods, discuss application background specific characteristics. Results reveals problems regions, such as default mode network, central executive salience which are closely related to depression, low mood cognitive impairment. review discusses limitations existing studies while summarizing current applications methods. Most early focused static connection mode, ignoring regions. However, reflect upper lower region interaction, help for us explore mechanism neurological diseases. Existing focus single but rarely multiple key networks. Discussion To do so, we address these issues by integrating technologies. discussion is reflected text. Through reviewing various methods this paper aims abnormal further analyze symptoms, so more accurate theoretical support diagnosis personalized treatment depression.

Language: Английский

Citations

0
Vulnerable brain regions in adolescent attention deficit hyperactivity disorder: An activation likelihood estimation meta-analysis DOI
Yanping Shu, Qin Zhang,

Da Li

et al.

World Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 15(4)

Published: March 25, 2025

Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental in adolescents characterized by inattention, hyperactivity, and impulsivity, which impact cognitive, behavioral, emotional functioning. Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical insights into the architecture of brain ADHD. Despite extensive research, specific regions consistently affected ADHD patients during these formative years have not been comprehensively delineated. To identify consistent vulnerable adolescent using rs-fMRI activation likelihood estimation (ALE) meta-analysis. We conducted comprehensive literature search up to August 31, 2024, studies investigating alterations with utilized regional homogeneity (ReHo), amplitude low-frequency fluctuations (ALFF), dynamic ALFF (dALFF) fractional (fALFF) analyses. compared aberrant spontaneous neural activity those healthy controls (HCs) ALE. Fifteen (468 466 HCs) were included. Combining ReHo ALFF/fALFF/dALFF data, results revealed increased right lingual gyrus [LING, Brodmann Area (BA) 18], left LING (BA 18), cuneus (CUN, BA 23) HCs (voxel size: 592-32 mm³, P < 0.05). Decreased was observed medial frontal (MFG, 9) precuneus (PCUN, 31) 960-456 Jackknife sensitivity analyses demonstrated robust reproducibility 11 13 tests for LING, CUN 14 MFG PCUN. identified both decreased patients, enhancing our understanding that occur this pivotal stage development.

Language: Английский

Citations

0
Functional connectivity of the striatum in psychosis: meta-analysis of functional Magnetic Resonance Imaging studies and replication on an independent sample DOI Creative Commons

David Antonio Grimaldi,

Angelo Patane',

Giulia Cattarinussi

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106179 - 106179

Published: April 1, 2025

Language: Английский

Citations

0
Amygdala Hyperactivation in Childhood Maltreatment: an ALE-Based Meta-Analysis on Emotion-Related Processing DOI
Po‐Hsiu Kuo, Zai‐Fu Yao

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106180 - 106180

Published: April 1, 2025

Language: Английский

Citations

0
Does Unfairness Evoke Anger or Disgust? A Quantitative Neurofunctional Dissection Based on 25 Years of Neuroimaging DOI Creative Commons

Xianyang Gan,

Ran Zhang,

Zihao Zheng

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Abstract Over the last decades, traditional ‘Homo economicus’ model has been increasingly challenged by convergent evidence underscoring impact of emotions on decision-making. A classic example is perception unfairness operationalized in Ultimatum Game where humans readily sacrifice personal gains to punish those who violate fairness norms. While emotional mechanism underlying costly punishments widely acknowledged, distinct contributions moral (anger or disgust) remain debated, partly due methodological limitations conventional experiments. Here, we capitalize a quantitative neurofunctional dissection approach combining recent developments neuroimaging meta-analyses, behavioral-level, network-level, and neurochemical-level decoding data from 3,266 participants functional studies determine common neural representations between two emotions. Experience engaged widespread bilateral network encompassing insular, cingulate, frontal regions, with dorsal striatal regions mediating decision reject unfair offers. Disgust defensive-avoidance circuit amygdalar, occipital, while anger non-overlapping systems including mid-cingulate, thalamic, regions. Unfairness disgust respectively commonly anterior mid-insula, latter additionally showed recruitment ventrolateral prefrontal orbitofrontal cortices. Multimodal network, behavioral, serotonergic provided more granular convincing these results. Findings indicate shared neuroaffective basis unfairness-induced punishment behavior suggest brain evolutionarily shaped protect individuals harm enforce societal

Language: Английский

Citations

1