2023
DOI: 10.3389/fnhum.2022.988890
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Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback

Abstract: Despite the existence of several emotion regulation studies using neurofeedback, interactions among a small number of regions were evaluated, and therefore, further investigation is needed to understand the interactions of the brain regions involved in emotion regulation. We implemented electroencephalography (EEG) neurofeedback with simultaneous functional magnetic resonance imaging (fMRI) using a modified happiness-inducing task through autobiographical memories to upregulate positive emotion. Then, an explo… Show more

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Cited by 7 publications
(3 citation statements)
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“…This information informs strategies to redirect attention away from negative cues and promote more balanced attentional processing. Neural correlates of emotion regulation: Neuroimaging can identify brain regions involved in emotion regulation [ 112 ]. This insight helps design interventions that enhance the brain’s ability to manage and modulate emotional responses.…”
Section: Clinical Applications: Tms For Adhd and Depressionmentioning
confidence: 99%
“…This information informs strategies to redirect attention away from negative cues and promote more balanced attentional processing. Neural correlates of emotion regulation: Neuroimaging can identify brain regions involved in emotion regulation [ 112 ]. This insight helps design interventions that enhance the brain’s ability to manage and modulate emotional responses.…”
Section: Clinical Applications: Tms For Adhd and Depressionmentioning
confidence: 99%
“…Such techniques have already benefited numerous branches of cognitive neuroscience, including the prediction and localization of epileptic lesions [ 20 ] and coupling mechanisms between EEG and fMRI [ 21 ]. Dehghani et al [ 22 ] implemented EEG neurofeedback with simultaneous fMRI to understand the effect of neurofeedback on brain activity and the interaction of whole brain regions involved in emotion regulation. To date, only a research team has investigated reward processing using simultaneous EEG–fMRI fusion techniques and obtained more accurate results than using either the EEG or fMRI [ 23 ].…”
Section: Introductionmentioning
confidence: 99%
“…Facial expressions and their alterations are commonly utilized for emotion recognition; however, these expressions can be intentionally modified by individuals, posing challenges in accurately discerning their genuine emotions ( Aryanmehr et al, 2018 ; Dzedzickis et al, 2020 ; Harouni et al, 2022 ). EEG (electroencephalography) is a technique employed to monitor brain activity through the measurement of voltage changes generated by the collective neural activity within the brain ( San-Segundo et al, 2019 ; Dehghani et al, 2020 , 2022 , 2023 ; Sadjadi et al, 2021 ; Mosayebi et al, 2022 ). EEG serves as a reflection of the brain’s activity and functioning, and it finds diverse applications, including but not limited to emotion recognition ( Dehghani et al, 2011a , b , 2013 ; Ebrahimzadeh and Alavi, 2013 ; Nikravan et al, 2016 ; Soroush et al, 2017 , 2018a , b , 2019a , b , 2020 ; Bagherzadeh et al, 2018 ; Alom et al, 2019 ; Ebrahimzadeh et al, 2019a , b , c , 2021 , 2022 , 2023 ; Bagheri and Power, 2020 ; Karimi et al, 2022 ; Rehman et al, 2022 ; Yousefi et al, 2022 , 2023 ).…”
Section: Introductionmentioning
confidence: 99%