2019
DOI: 10.1177/1550059419849170
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Evaluation of Neurofeedback for Posttraumatic Stress Disorder Related to Refugee Experiences Using Self-Report and Cognitive ERP Measures

Abstract: Background. Neurofeedback holds promise as an intervention for the psychophysiological dysfunction found in posttraumatic stress disorder (PTSD). Few empirical studies have assessed the efficacy of neurofeedback for PTSD, and none in individuals with refugee trauma. A proposed mechanism for neurofeedback efficacy in PTSD is through remediating deficits in cognitive control. We assessed pre- and postchanges in symptoms and neurocognitive functioning of refugee clients participating in a neurofeedback interventi… Show more

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Cited by 17 publications
(9 citation statements)
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“…These studies mainly investigate the decoding method of single-trial responses ( Brandmeyer et al, 2013 ) as well as the neural mechanism underling reward stimuli ( Moser et al, 2014 ; Zioga et al, 2019 ; Wang et al, 2021 ). Research in the literature demonstrates broad applications of ERP-based NF training in cognitive deficits, including Attention-deficit/hyperactivity disorder (ADHD), Post-traumatic stress disorder (PTSD), and Subjective cognitive decline (SCD) ( Askovic et al, 2020 ; Pei et al, 2020 ; Deiber et al, 2021 ). The main challenge of developing NF training using ERP is designing reward functions associated with components of ERP as the adjustment target in single-trial responses.…”
Section: Neurofeedback Training Beyond Electroencephalography Frequen...mentioning
confidence: 99%
“…These studies mainly investigate the decoding method of single-trial responses ( Brandmeyer et al, 2013 ) as well as the neural mechanism underling reward stimuli ( Moser et al, 2014 ; Zioga et al, 2019 ; Wang et al, 2021 ). Research in the literature demonstrates broad applications of ERP-based NF training in cognitive deficits, including Attention-deficit/hyperactivity disorder (ADHD), Post-traumatic stress disorder (PTSD), and Subjective cognitive decline (SCD) ( Askovic et al, 2020 ; Pei et al, 2020 ; Deiber et al, 2021 ). The main challenge of developing NF training using ERP is designing reward functions associated with components of ERP as the adjustment target in single-trial responses.…”
Section: Neurofeedback Training Beyond Electroencephalography Frequen...mentioning
confidence: 99%
“…EEG-NFB is widely believed to work predominantly through operant conditioning, a type of associative learning whereby the probability of some given electrical behavior is modified via a temporally associated reinforcing stimulus (Alkoby, Abu-Rmileh, Shriki, & Todder, 2018;Enriquez-Geppert, Huster, & Herrmann, 2017;Orndorff-Plunkett et al, 2017). Although the use of EEG-NFB for IDs in routine clinical psychiatric practice has yet to receive widespread support (Arns et al, 2017;Begemann, Florisse, van Lutterveld, Kooyman, & Sommer, 2016;Omejc, Rojc, Battaglini, & Marusic, 2019), there is substantial evidence that EEG-NFB is efficacious (e.g., Askovic et al, 2019;Bell, Moss, & Kallmeyer, 2019;Cheon et al, 2017;Chiba et al, 2019;Hou et al, 2021;Noohi, Miraghaie, Arabi, & Nooripour, 2017;Orndorff-Plunkett et al, 2017;Panisch & Hai, 2018;Reiter, Andersen, & Carlsson, 2016;Ros et al, 2017;Schoenberg & David, 2014;Tolin, Davies, Moskow, & Hofmann, 2020;van der Kolk et al, 2016;Wang et al, 2019).…”
Section: Background and Rationalementioning
confidence: 99%
“…EEG-NFB is widely believed to work predominantly through a form of associative learning known as operant conditioning whereby the probability of some given (neural) behavior is modified via a temporally associated reinforcing stimulus ( Enriquez-Geppert et al, 2017 ; Orndorff-Plunkett et al, 2017 ; Alkoby et al, 2018 ). Although the use of EEG-NFB for IDs in routine clinical psychiatric practice has yet to receive widespread support ( Begemann et al, 2016 ; Arns et al, 2017 ; Omejc et al, 2019 ), there is substantial evidence that EEG-NFB might be efficacious ( Schoenberg and David, 2014 ; Reiter et al, 2016 ; Van Der Kolk et al, 2016 ; Cheon et al, 2017 ; Noohi et al, 2017 ; Orndorff-Plunkett et al, 2017 ; Ros et al, 2017 ; Panisch and Hai, 2018 ; Askovic et al, 2019 ; Bell et al, 2019 ; Chiba et al, 2019 ; Wang et al, 2019 ; Tolin et al, 2020 ; Hou et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%