Neuroscience & Biobehavioral Reviews, Год журнала: 2021, Номер 125, С. 33 - 56
Опубликована: Фев. 15, 2021
Язык: Английский
Neuroscience & Biobehavioral Reviews, Год журнала: 2021, Номер 125, С. 33 - 56
Опубликована: Фев. 15, 2021
Язык: Английский
American Psychologist, Год журнала: 2017, Номер 72(7), С. 679 - 688
Опубликована: Окт. 1, 2017
Advocates of neurofeedback make bold claims concerning brain regulation, treatment disorders, and mental health. Decades research thousands peer-reviewed publications support using electroencephalography (EEG-nf); yet, few experiments isolate the act receiving feedback from a specific signal as necessary precursor to obtain purported benefits. Moreover, while psychosocial parameters including participant motivation expectation, rather than neurobiological substrates, seem fuel clinical improvement across wide range for-profit clinics continue sprout North America Europe. Here, we highlight tenuous evidence supporting EEG-nf sketch out weaknesses this approach. We challenge classic arguments often articulated by proponents underscore how psychologists health professionals stand benefit studying ubiquitous placebo influences that likely drive these outcomes. (PsycINFO Database Record
Язык: Английский
Процитировано
101NeuroImage, Год журнала: 2018, Номер 188, С. 539 - 556
Опубликована: Дек. 17, 2018
Real-time functional magnetic resonance imaging (fMRI) neurofeedback is an experimental framework in which fMRI signals are presented to participants a real-time manner change their behaviors. Changes behaviors after postulated be caused by neural plasticity driven the induction of specific targeted activities at neuronal level (targeted model). However, some research groups argued that behavioral changes conventional studies explained alternative accounts, including placebo effect and physiological artifacts. Recently, decoded (DecNef) has been developed as result adapting new technological advancements, implicit multivariate analyses. DecNef provides strong evidence for model while refuting abovementioned accounts. In this review, we first discuss how refutes Second, propose shows occurs during training. Finally, computational empirical supports model. Clarification mechanisms would lead development more advanced methods may serve powerful tools both basic clinical research.
Язык: Английский
Процитировано
98Neuropsychologia, Год журнала: 2017, Номер 97, С. 56 - 65
Опубликована: Фев. 4, 2017
Язык: Английский
Процитировано
89Psychological Medicine, Год журнала: 2021, Номер 52(2), С. 201 - 216
Опубликована: Ноя. 15, 2021
Abstract Background For many years, biofeedback and neurofeedback have been implemented in the treatment of depression. However, effectiveness these techniques on depressive symptomatology is still controversial. Hence, we conducted a meta-analysis studies extracted from PubMed, Scopus, Web Science Embase. Methods Two different strings were considered for each two objectives study: A first group comprising patients with major disorder (MDD) second including targeting reduction other mental or medical conditions. Results In MDD, within-group analyses yielded an effect size Hedges' g = 0.717, while between-group analysis 1.050. Moderator indicate that efficacy only significant when accounting experimental design, favor randomized controlled trials (RCTs) comparison to non RCTs, whereas type neurofeedback, trial year publication, number sessions, age, sex quality study did not influence efficacy. studies, small but between groups was found (Hedges' 0.303) bio- against control groups. revealed moderated by any sociodemographic clinical variables. Conclusions Heart rate variability (HRV) are associated self-reported Despite fact field has large room improvement terms research quality, results presented this suggests both modalities may become relevant complementary strategies MDD coming years.
Язык: Английский
Процитировано
66Neuroscience & Biobehavioral Reviews, Год журнала: 2021, Номер 125, С. 33 - 56
Опубликована: Фев. 15, 2021
Язык: Английский
Процитировано
64