ArticleFrontiers in human neuroscience2018
Emotion Regulation and Complex Brain Networks: Association Between Expressive Suppression and Efficiency in the Fronto-Parietal Network and Default-Mode Network.
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.
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- Intraoperative mapping of the right hemisphere: a systematic review of protocols that evaluate cognitive and social cognitive functions.Frontiers in psychology · 2024Pooled it
- Brain reactivity during aggressive response in women with premenstrual dysphoric disorder treated with a selective progesterone receptor modulator.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Trial
- Kindness Protects the Heart: The Positive Impact of Self-Compassion on Autobiographical Memory Retrieval.Brain and behavior · 2026Article
- Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk.Translational psychiatry · 2026Article
- Neural fingerprint of the dark triad: Resting state BOLD power (fALFF) alterations in executive and default mode networks.Cognitive, affective & behavioral neuroscience · 2026Article
- Lower resting-state EEG mean eigenvector centrality is associated with higher math anxiety.Frontiers in human neuroscience · 2026Article
- Social pain is associated with altered developmental trajectories of connectivity among the triple network model of psychopathology.Social cognitive and affective neuroscience · 2025Article
- Aberrant resting-state functional network centrality and cognitive impairment in unmedicated, euthymic bipolar patients.BMC psychiatry · 2024Article
- Graph analysis of guilt processing network highlights links with subclinical anxiety and self-blame.Social cognitive and affective neuroscience · 2024Article
- A distributed brain response predicting the facial expression of acute nociceptive pain.eLife · 2024Article
- Virtual reality-enabled high-performance emotion estimation with the most significant channel pairs.Heliyon · 2024Article
- A distributed brain response predicting the facial expression of acute nociceptive pain.bioRxiv : the preprint server for biology · 2024Article
- Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study.Journal of behavioral addictions · 2024Article
- Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction.Brain sciences · 2024Article
- Reduced GM-WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach.Social cognitive and affective neuroscience · 2024Article
- Classification of female MDD patients with and without suicidal ideation using resting-state functional magnetic resonance imaging and machine learning.Frontiers in human neuroscience · 2024Article
- Intrinsic functional connectivity mediates the effect of personality traits on depressive symptoms.PloS one · 2024Article
- Changes in cortical grey matter volume with Cognitive Orientation to daily Occupational Performance intervention in children with developmental coordination disorder.Frontiers in human neuroscience · 2024Article
- Associations between cortical thickness and parasympathetic nervous system functioning during middle childhood.Psychophysiology · 2023Article
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emotion regulation (ER) refers to the "implementation of a conscious or non-conscious goal to start, stop or otherwise modulate the trajectory of an emotion" (Etkin et al., 2015). Whereas multiple brain areas have been found to be involved in ER, relatively little is known about whether and how ER is associated with the global functioning of brain networks. Recent advances in brain connectivity research using graph-theory based analysis have shown that the brain can be organized into complex networks composed of functionally or structurally connected brain areas. Global efficiency is one graphic metric indicating the efficiency of information exchange among brain areas and is utilized to measure global functioning of brain networks. The present study examined the relationship between trait measures of ER (expressive suppression (ES) and cognitive reappraisal (CR)) and global efficiency in resting-state functional brain networks (the whole brain network and ten predefined networks) using structural equation modeling (SEM). The results showed that ES was reliably associated with efficiency in the fronto-parietal network and default-mode network. The finding advances the understanding of neural substrates of ER, revealing the relationship between ES and efficient organization of brain networks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.