2023
DOI: 10.3389/fnbeh.2023.1096122
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Does combined training of biofeedback and neurofeedback affect smoking status, behavior, and longitudinal brain plasticity?

Abstract: Introduction: Investigations of biofeedback (BF) and neurofeedback (NF) training for nicotine addiction have been long documented to lead to positive gains in smoking status, behavior and to changes in brain activity. We aimed to: (a) evaluate a multi-visit combined BF/NF intervention as an alternative smoking cessation approach, (b) validate training-induced feedback learning, and (c) document effects on resting-state functional connectivity networks (rsFCN); considering gender and degree of nicotine dependen… Show more

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Cited by 4 publications
(5 citation statements)
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“…Although the reviews taken into consideration present limitations, both at the level of the included studies (for example: methodological limitations such as the lack of a control group, a sample consisting of few subjects or non-standardized clinical outcomes) and at the level of the reviews themselves (for example: a small number of studies included and a poor quality of the same), the results show that these alternative approaches constitute promising measures to help smokers to quit smoking, facilitating the modulation of the activity of the Central and Autonomic Nervous System. Similarly, the study by Pandria et al (2023) confirms what emerged from the reviews examined, demonstrating the effectiveness of an integrated BF + NF approach on the clinical, behavioral, and cognitive aspects of smokers. At present, it is not possible to determine whether this integrated approach produces better results than the two approaches applied individually, as there are no effect size measures either in the reviews considered or in the study by Pandria and collaborators.…”
Section: The Integrated Bf + Nf Approachsupporting
confidence: 71%
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“…Although the reviews taken into consideration present limitations, both at the level of the included studies (for example: methodological limitations such as the lack of a control group, a sample consisting of few subjects or non-standardized clinical outcomes) and at the level of the reviews themselves (for example: a small number of studies included and a poor quality of the same), the results show that these alternative approaches constitute promising measures to help smokers to quit smoking, facilitating the modulation of the activity of the Central and Autonomic Nervous System. Similarly, the study by Pandria et al (2023) confirms what emerged from the reviews examined, demonstrating the effectiveness of an integrated BF + NF approach on the clinical, behavioral, and cognitive aspects of smokers. At present, it is not possible to determine whether this integrated approach produces better results than the two approaches applied individually, as there are no effect size measures either in the reviews considered or in the study by Pandria and collaborators.…”
Section: The Integrated Bf + Nf Approachsupporting
confidence: 71%
“…The increased synchronization between the visual network and other resting-state networks (RSNs) is considered an indicator of better integration of sensory information ( Dobrushina et al, 2020 ). Finally, Modi et al (2015) found that trait anxiety is associated with reduced connectivity between the DMN and the VIS, thus the reduction in STAI trait anxiety scores observed in the study by Pandria et al (2023) it may reflect the increase in connectivity observed in these two networks.…”
Section: The Integrated Bf + Nf Approachmentioning
confidence: 71%
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“…Finally, the brain mechanism of the theta predictor might be located in the OFC. Several pre-post EEG studies on behavioural approaches 15 and hypnosis-induced 16 reductions in smoking have identified enhanced theta oscillations. Consistent with these findings, our study observed an increase in the frontal theta PSD in the real-feedback group after two neurofeedback training sessions compared with the yoked-feedback group.…”
Section: Main Findingsmentioning
confidence: 99%
“…Besides the interventions with only central or peripheral measures of biofeedback, the combination of both measures could also be an interesting approach to benefit from the features of each method. In that sense, Pandria and colleagues carried out an intervention with combined peripheral biofeedback from skin temperature and EEG-NFB for smoking cessation in people with nicotine addiction [82]. Both biofeedback interventions were performed separately and showed changes across sessions.…”
Section: Combined Eeg-skin Temperature Biofeedbackmentioning
confidence: 99%