Neurophysiological Measures of the Perception of Antismoking Public Service Announcements Among Young Population DOI Creative Commons
Giulia Cartocci, Enrica Modica, D. Rossi

et al.

Frontiers in Human Neuroscience, Journal Year: 2018, Volume and Issue: 12

Published: Aug. 29, 2018

Tobacco constitutes a global emergency with totally preventable millions of deaths per year and smoking-related illnesses. Public service announcements (PSAs) are the main tool against smoking by now their efficacy is still assessed through questionnaires metrics, only months after circulation. The present study focused on young population, because at higher risk developing tobacco addiction, investigating reaction to vision Effective, Ineffective Awarded antismoking PSAs through: electroencephalography (EEG), autonomic activity variation (Galvanic skin response-GSR- Heart Rate-HR-) Eye-Tracking (ET). employed indices were: EEG frontal alpha band asymmetry theta; Emotional Index (EI), deriving from GSR HR signals matching; ET Visual Attention (VA) index, based ratio between total time spent fixating an area interest (AOI) its area. Smokers expressed values in comparison non-smokers. Concerning theta, reported highest both Effective PSAs. EI results highlighted that lowest were Heavy (HS), obtained values. Finally, concerning PSAs, regression analysis correlation number cigarettes smoked participants (independent variable) asymmetry, theta suggested for focus texts, while visual elements. Results support use methods aimed assessing physiological evaluation images, particular when considering habits target populations.

Language: Английский

Heart rate variability and slow-paced breathing:when coherence meets resonance DOI Creative Commons
Caroline Sévoz‐Couche, Sylvain Laborde

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 135, P. 104576 - 104576

Published: Feb. 12, 2022

Language: Английский

Citations

118
Laterality 2020: entering the next decade DOI
Sebastian Ocklenburg, Gesa Berretz, Julian Packheiser

et al.

Laterality Asymmetries of Body Brain and Cognition, Journal Year: 2020, Volume and Issue: 26(3), P. 265 - 297

Published: Aug. 12, 2020

In the 2010s, significant progress has been made in several key areas of laterality research, including neuroimaging, genetics and comparative research. present article, we discuss which trends are likely to shape research 2020s. These include, but not limited to: (1) Finding laterality-specific solutions replication crisis. (2) Integrating non-W.E.I.R.D. (Western, Educated, Industrialized, Rich, Democratic) samples into a larger extent. (3). Combining meta-analysis large-scale databank studies come unbiased conclusions about true effects. (4) Understanding altered different psychiatric neurodevelopmental disorders. (5) Exploring relevance for treatment (6) Investigating molecular correlates environmental factors that affect laterality. (7) Bridging gap between human subjects non-human model species. (8) Utilizing "next-generation" neuroimaging (9) graph-theory machine learning (10) Enhancing ecological validity using mobile EEG smartphone-based data collection. will next decade by opening way novel questions, enhancing collaborations boosting reliability findings our field.

Language: Английский

Citations

71
Efficacy of bio- and neurofeedback for depression: a meta-analysis DOI Creative Commons
Javier Fernández‐Álvarez, Massimiliano Grassi, Desirèe Colombo

et al.

Psychological Medicine, Journal Year: 2021, Volume and Issue: 52(2), P. 201 - 216

Published: Nov. 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.

Language: Английский

Citations

66
Affective Brain–Computer Interfaces (aBCIs): A Tutorial DOI
Dongrui Wu, Bao‐Liang Lu, Bin Hu

et al.

Proceedings of the IEEE, Journal Year: 2023, Volume and Issue: 111(10), P. 1314 - 1332

Published: May 31, 2023

A brain–computer interface (BCI) enables a user to communicate directly with computer using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates emotional state of brain, which could facilitate human cognition, communication, decision-making, and health. The last decade has witnessed rapid progress in aBCI research applications, but there does not exist comprehensive up-to-date tutorial on aBCIs. This fills gap. It introduces first basic concepts BCIs then, detail, individual components closed-loop system, including signal acquisition, processing, feature extraction, emotion recognition, brain stimulation. Next, it describes three representative applications aBCIs, i.e., cognitive workload fatigue estimation, depression diagnosis treatment. Several challenges opportunities labeling, diversity size datasets, algorithm comparison, negative transfer privacy protection security are also explained.

Language: Английский

Citations

38
Review of EEG-based neurofeedback as a therapeutic intervention to treat depression DOI Creative Commons
Abhishek Uday Patil, Chemin Lin, Shwu‐Hua Lee

et al.

Psychiatry Research Neuroimaging, Journal Year: 2023, Volume and Issue: 329, P. 111591 - 111591

Published: Jan. 13, 2023

Depression, or major depressive disorder, is a common mental disorder that affects individuals' behavior, mood, and physical health, its prevalence has increased during the lockdowns implemented to curb COVID-19 pandemic. There an urgent need update treatment recommendations for disorders such crises. Conventional interventions treat depression include long-term pharmacotherapy cognitive behavioral therapy. Electroencephalogram-neurofeedback (EEG-NF) training been suggested as non-invasive option with minimal side effects. In this systematic review, we summarize recent literature on EEG-NF treating depression. The 12 studies included in our final sample reported despite several issues related practices, patients showed significant cognitive, clinical, neural improvements following training. Given low cost risk of effects due nature, suggest worth exploring augmented tool who already receive standard medications but remain symptomatic, may be effective intervention can utilized supplementary We conclude by providing some suggestions experimental designs standards improve current practices

Language: Английский

Citations

27
The effects of alpha asymmetry and high-beta down-training neurofeedback for patients with the major depressive disorder and anxiety symptoms DOI

San-Yu Wang,

I‐Mei Lin, Sheng‐Yu Fan

et al.

Journal of Affective Disorders, Journal Year: 2019, Volume and Issue: 257, P. 287 - 296

Published: July 5, 2019

Language: Английский

Citations

62
Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants DOI Creative Commons
Naho Ichikawa, Giuseppe Lisi, Noriaki Yahata

et al.

Scientific Reports, Journal Year: 2020, Volume and Issue: 10(1)

Published: Feb. 26, 2020

Abstract The limited efficacy of available antidepressant therapies may be due to how they affect the underlying brain network. purpose this study was develop a melancholic MDD biomarker identify critically important functional connections (FCs), and explore their association treatments. Resting state fMRI data 130 individuals (65 major depressive disorder (MDD) patients, 65 healthy controls) were included build classifier, 10 FCs selected by our sparse machine learning algorithm. This generalized drug-free independent cohort MDD, did not generalize other subtypes or psychiatric disorders. Moreover, we found that antidepressants had heterogeneous effect on identified 25 MDDs. In particular, it impact FC between left dorsolateral prefrontal cortex (DLPFC)/inferior frontal gyrus (IFG) posterior cingulate (PCC)/precuneus, ranked as second ‘most important’ based weights, whilst eight normalized. Given DLPFC has been proposed an explicit target depression treatments, suggest might compensated combining with targeted treatment optimized approach in future.

Language: Английский

Citations

59
Oscillotherapeutics – Time-targeted interventions in epilepsy and beyond DOI
Yuichi Takeuchi, Antal Berényi

Neuroscience Research, Journal Year: 2020, Volume and Issue: 152, P. 87 - 107

Published: Jan. 16, 2020

Language: Английский

Citations

56
Cortical Patterns of Pleasurable Musical Chills Revealed by High-Density EEG DOI Creative Commons
Thibault Chabin, Damien Gabriel,

Tanawat Chansophonkul

et al.

Frontiers in Neuroscience, Journal Year: 2020, Volume and Issue: 14

Published: Nov. 3, 2020

Music has the capacity to elicit strong positive feelings in humans by activating brain's reward system. Because group emotional dynamics is a central concern of social neurosciences, study emotion natural/ecological conditions gaining interest. This aimed show that high-density EEG (HD-EEG) able reveal patterns cerebral activities previously identified fMRI or PET scans when subject experiences pleasurable musical chills. We used HD-EEG record participants (11 female, 7 male) while listening their favorite chill-inducing excerpts; they reported subjective state from low pleasure up results showed an increase theta activity prefrontal cortex arousal and ratings increased, which are associated with orbitofrontal activation localized using source localization algorithms. In addition, we two specific chills: decreased right region, could reflect supplementary motor area during chills may be related rhythmic anticipation processing, temporal appreciation superior gyrus activity. The alpha frontal/prefrontal asymmetry did not felt pleasure, but increased frontal beta ratio (measure arousal) corresponded ratings. These suggest reliable method promising tool for investigation through processing.

Language: Английский

Citations

51
The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review DOI Creative Commons
М. Е. Мельников

Neural Plasticity, Journal Year: 2021, Volume and Issue: 2021, P. 1 - 31

Published: Feb. 4, 2021

This article is aimed at showing the current level of evidence for usage biofeedback and neurofeedback to treat depression along with a detailed review studies in field discussion rationale utilizing each protocol. La Vaque et al. criteria endorsed by Association Applied Psychophysiology Biofeedback International Society Neuroregulation & Research were accepted as means study evaluation. Heart rate variability (HRV) was found be moderately supportable treatment MDD while outcome measure subjective questionnaire like Beck Depression Inventory (level 3/5, “probably efficacious”). Electroencephalographic (EEG) protocols, namely, alpha-theta, alpha, sensorimotor rhythm upregulation, all qualify 2/5, “possibly efficacious.” Frontal alpha asymmetry protocol also received limited effect Finally, two most influential real-time functional magnetic resonance imaging (rt-fMRI) protocols targeting amygdala frontal cortices both demonstrate some effectiveness, though lack replications Thus, specifically supported existing (all fit The greatest complication preventing certain from reaching higher levels relatively high number uncontrolled an absence accurate arising heterogeneity details, course lengths, measures improvement, control conditions, sample characteristics.

Language: Английский

Citations

43