ReviewNeuroImage. Clinical2020
Advances in biofeedback and neurofeedback studies on smoking.
Review in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effect of biofeedback on smoking cessation-a systematic short review.Wiener klinische Wochenschrift · 2022Pooled it
- Genetically influenced externalizing and internalizing risk pathways as novel prevention targets.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022Trial
- Neurofeedback: Applications, advancements, and future directions.PCN reports : psychiatry and clinical neurosciences · 2025Review
- The Phase-Amplitude Coupling Changes Induced by Smoking Cue After 12-H Abstinence in Young Smokers.Addiction biology · 2025Article
- Brain-computer Interaction in the Smart Era.Current medical science · 2024Review
- Integrated use of biofeedback and neurofeedback techniques in treating pathological conditions and improving performance: a narrative review.Frontiers in neuroscience · 2024Review
- NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform.Sensors (Basel, Switzerland) · 2023Article
- Does combined training of biofeedback and neurofeedback affect smoking status, behavior, and longitudinal brain plasticity?Frontiers in behavioral neuroscience · 2023Article
- Resting-state electroencephalography theta predicts neurofeedback treatment 4-month follow-up response in nicotine addiction.General psychiatry · 2023Article
- Editorial: Clinical Neurofeedback.NeuroImage. Clinical · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smoking is a leading cause of morbidity and premature death constituting a global health challenge. Although, pharmacological and behavioral approaches comprise the mainstay of smoking cessation interventions, the efficacy and safety of pharmacotherapy is not demonstrated for some populations. Non-pharmacological approaches, such as biofeedback (BF) and neurofeedback (NF) could facilitate self-regulation of predisposing factors of relapse such as craving and stress. The current review aims to aggregate the existing evidence regarding the effects of BF and NF training on smokers. Relevant studies were identified through searching in Scopus, PubMed and Cochrane Library, and through hand-searching the references of screened articles. Peer-reviewed controlled and uncontrolled studies, where BF and/or NF training was administered, were included and evaluated according to PICOS framework. Narrative qualitative synthesis of ten eligible studies was performed, aggregated into three categories according to training provided. BF outcomes seem to be affected by smoking behavior prior to training; individualized EEG NF training holds promise for modulating craving-related response while minimizing the required number of sessions. Real-time fMRI NF studies concluded that nicotine-dependent individuals could modulate craving-related brain responses, while mixed results were revealed regarding smokers' ability to modulate brain responses related to resistance towards the urge to smoke. BF and NF training seem to facilitate modulation of autonomous and/or central nervous system activity while also transferring this learned self-regulation to behavioral outcomes. BF and NF training should a) address remaining issues on specificity and scientific validity, b) target diverse demographics, and c) produce robust reproducible methodologies and clinical guidelines for relevant health care providers, in order to be considered as viable complementary tools to standard smoking cessation care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.