Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis

Kohn, Nils; Eickhoff, Simon B.; Scheller, M.; Laird, Angela R.; Fox, Peter T.; Habel, Ute

doi:10.1016/j.neuroimage.2013.11.001

Cited by 755 publications

(732 citation statements)

References 98 publications

(141 reference statements)

Supporting

Mentioning

654

Contrasting

Unclassified

Order By: Relevance

“…Precentral and postcentral gyri are involved in somatosensory processing and voluntary movement and have also been shown to activate during emotion regulation (Buhle et al, 2014;Goldin et al, 2008;Kohn et al, 2014). Though these regions have previously been related to treatment response in anxious adults (Klumpp et al, 2013;Phan et al, 2013), very …”

Section: Discussionmentioning

confidence: 99%

“…We did not find evidence that effects of vlPFC or dlPFC activation on symptom severity were moderated by type of treatment or primary diagnosis, suggesting similar effects across SSRI and CBT, as well as diagnoses of GAD and social anxiety disorder. Superior and inferior frontal gyri, including vlPFC and dlPFC, are associated with cognitive control and emotional appraisal and regulation (Frank et al, 2014;Gyurak et al, 2011;Kohn et al, 2014;Ochsner and Gross, 2005). Ventral lPFC is thought to signal stimulus salience and need for regulation, while dorsal lPFC implements cognitive control and directs attention in order to modulate emotional responses (Kohn et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…Superior and inferior frontal gyri, including vlPFC and dlPFC, are associated with cognitive control and emotional appraisal and regulation (Frank et al, 2014;Gyurak et al, 2011;Kohn et al, 2014;Ochsner and Gross, 2005). Ventral lPFC is thought to signal stimulus salience and need for regulation, while dorsal lPFC implements cognitive control and directs attention in order to modulate emotional responses (Kohn et al, 2014). Youth who demonstrate greater activation in vlPFC and dlPFC prior to treatment may be more effective in regulation of responses to threatening stimuli and thus able to achieve greater therapeutic gains.…”

Section: Discussionmentioning

confidence: 99%

“…linked to emotion regulation and treatment response in adult anxiety (Ball et al, 2014b;Doehrmann et al, 2013;Kohn et al, 2014). Hierarchical multiple regression analyses were computed predicting change in PARS with age, pretreatment PARS, study site, treatment, number of session, and dlPFC or vlPFC activation in Step 1, followed by dlPFC or vlPFC interactions with site, treatment, and number of sessions in…”

Section: Fmri Predictors Of Treatment Responsementioning

confidence: 99%

“…Brain regions involved in appraising and regulating emotion, including ACC and lateral and medial prefrontal cortex (PFC; Frank et al, 2014;Kober et al, 2008;Kohn et al, 2014;Phillips et al, 2003), may also predict treatment response in anxiety. For example, greater ACC activation during threat processing predicted better response to medication and CBT for adults with GAD (Nitschke et al, 2009;Whalen et al, 2008) and social anxiety disorder (Klumpp et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

Kujawa

Swain

Hanna

et al. 2015

Neuropsychopharmacol

View full text Add to dashboard Cite

Neuroimaging has shown promise as a tool to predict likelihood of treatment response in adult anxiety disorders, with potential implications for clinical decision-making. Despite the relatively high prevalence and emergence of anxiety disorders in youth, very little work has evaluated neural predictors of response to treatment. The goal of the current study was to examine brain function during emotional face processing as a predictor of response to treatment in children and adolescents (age 7-19 years; N = 41) with generalized, social, and/ or separation anxiety disorder. Prior to beginning treatment with the selective serotonin reuptake inhibitor (SSRI) sertraline or cognitive behavior therapy (CBT), participants completed an emotional faces matching task during functional magnetic resonance imaging (fMRI). Whole brain responses to threatening (ie, angry and fearful) and happy faces were examined as predictors of change in anxiety severity following treatment. Greater activation in inferior and superior frontal gyri, including dorsolateral prefrontal cortex and ventrolateral prefrontal cortex, as well as precentral/postcentral gyri during processing of threatening faces predicted greater response to CBT and SSRI treatment. For processing of happy faces, activation in postcentral gyrus was a significant predictor of treatment response. Post-hoc analyses indicated that effects were not significantly moderated by type of treatment. Findings suggest that greater activation in prefrontal regions involved in appraising and regulating responses to social signals of threat predict better response to SSRI and CBT treatment in anxious youth and that neuroimaging may be a useful tool for predicting how youth will respond to treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Fmri Predictors Of Treatment Responsementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

Kujawa

Swain

Hanna

et al. 2015

Neuropsychopharmacol

View full text Add to dashboard Cite

show abstract

Association Between the Fronto-Limbic Network and Cognitive and Emotional Functioning in Individuals With Bipolar Disorder

et al. 2023

View full text Add to dashboard Cite

ImportanceIndividuals with bipolar disorder (BD) experience cognitive and emotional dysfunctions. Various brain circuits are implicated in BD but have not been investigated in a meta-analysis of functional magnetic resonance imaging (fMRI) studies.ObjectiveTo investigate the brain functioning of individuals with BD compared with healthy control individuals in the domains of emotion processing, reward processing, and working memory.Data SourcesAll fMRI experiments on BD published before March 2020, as identified in a literature search of PubMed, Embase, Web of Science, Cochrane Library, PsycInfo, Emcare, Academic Search Premier, and ScienceDirect. The literature search was conducted on February 21, 2017, and March 2, 2020, and data were analyzed from January 2021 to January 2022.Study SelectionfMRI experiments comparing adult individuals with BD and healthy control individuals were selected if they reported whole-brain results, including a task assessing at least 1 of the domains. In total, 2320 studies were screened, and 253 full-text articles were evaluated.Data Extraction and SynthesisA total of 49 studies were included after selection procedure. Coordinates reporting significant activation differences between individuals with BD and healthy control individuals were extracted. Differences in brain region activity were tested using the activation likelihood estimation method.Main Outcomes and MeasuresA whole-brain meta-analysis evaluated whether reported differences in brain activation in response to stimuli in 3 cognitive domains between individuals with BD and healthy control individuals were different.ResultsThe study population included 999 individuals with BD (551 [55.2%] female) and 1027 healthy control individuals (532 [51.8%] female). Compared with healthy control individuals, individuals with BD showed amygdala and hippocampal hyperactivity and hypoactivation in the inferior frontal gyrus during emotion processing (20 studies; 324 individuals with BD and 369 healthy control individuals), hyperactivation in the orbitofrontal cortex during reward processing (9 studies; 195 individuals with BD and 213 healthy control individuals), and hyperactivation in the ventromedial prefrontal cortex and subgenual anterior cingulate cortex during working memory (20 studies; 530 individuals with BD and 417 healthy control individuals). Limbic hyperactivation was only found during euthymia in the emotion and reward processing domains; abnormalities in frontal cortex activity were also found in individuals with BD with mania and depression.Conclusions and RelevanceThis systematic review and meta-analysis revealed evidence for activity disturbances in key brain areas involved in cognitive and emotion processing in individuals with BD. Most of the regions are part of the fronto-limbic network. The results suggest that aberrations in the fronto-limbic network, present in both euthymic and symptomatic individuals, may be underlying cognitive and emotional dysfunctions in BD.

show abstract

Transdiagnostic Impairment in Cognitive Control Neurocircuits

McTeague¹,

Goodkind²,

Etkin³

2017

The Wiley Handbook of Cognitive Control

View full text Add to dashboard Cite

Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis

Cited by 755 publications

References 98 publications

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

Association Between the Fronto-Limbic Network and Cognitive and Emotional Functioning in Individuals With Bipolar Disorder

Transdiagnostic Impairment in Cognitive Control Neurocircuits

Contact Info

Product

Resources

About