Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations

Diagnostics, Journal Year: 2025, Volume and Issue: 15(4), P. 456 - 456

Published: Feb. 13, 2025

Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights advanced algorithmic methods in pursuit of an enhanced understanding and applications recognition. Methods: study was conducted PRISMA guidelines, involving a rigorous selection process that resulted the inclusion 64 empirical studies explore modalities such as fMRI, EEG, MEG, discussing their capabilities limitations It further evaluates architectures, including neural networks, CNNs, GANs, terms roles classifying emotions from various domains: human-computer interaction, mental health, marketing, more. Ethical practical challenges implementing these systems are also analyzed. Results: identifies fMRI powerful but resource-intensive modality, while EEG MEG more accessible high temporal resolution limited by spatial accuracy. Deep models, especially CNNs have performed well emotions, though they do not always require large diverse datasets. Combining data behavioral features improves classification performance. However, ethical challenges, privacy bias, remain significant concerns. Conclusions: has emphasized efficiencies detection, technical were highlighted. Future research should integrate advances, establish innovative enhance system reliability applicability.

Language: Английский

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Neural modulation enhancement using connectivity-based EEG neurofeedback with simultaneous fMRI for emotion regulation

NeuroImage, Journal Year: 2023, Volume and Issue: 279, P. 120320 - 120320

Published: Aug. 14, 2023

Emotion regulation plays a key role in human behavior and overall well-being. Neurofeedback is non-invasive self-brain training technique used for emotion to enhance brain function treatment of mental disorders through behavioral changes. Previous neurofeedback research often focused on using activity from single region as measured by fMRI or power one two EEG electrodes. In new study, we employed connectivity-based recalling positive autobiographical memories simultaneous upregulate emotion. our novel approach, the feedback was determined coherence electrodes rather than We compared efficiency this traditional activity-based multiple experiments. The results showed that effectively improved BOLD signal change connectivity regions such amygdala, thalamus, insula, increased frontal asymmetry, which biomarker PTSD, anxiety, depression among channels. psychometric evaluations conducted both before after experiments revealed participants demonstrated improvements enhancing emotions reducing negative when utilizing neurofeedback, sham approaches. These findings suggest may be superior method regulating could useful alternative therapy disorders, providing individuals with greater control over their functions.

Language: Английский

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Two is better? combining EEG and fMRI for BCI and neurofeedback: a systematic review

Journal of Neural Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 051003 - 051003

Published: Oct. 1, 2023

Abstract Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two commonly used non-invasive techniques for measuring brain activity in neuroscience brain–computer interfaces (BCI). Objective . In this review, we focus on the use of EEG fMRI neurofeedback (NF) discuss challenges combining modalities to improve understanding achieve more effective clinical outcomes. Advanced technologies have been developed simultaneously record signals provide a better relationship between modalities. However, complexity processes heterogeneous nature present extracting useful information from combined data. Approach We will survey existing EEG–fMRI combinations recent studies that exploit NF, highlighting experimental technical challenges. Main results made classification different combination EEG-fMRI review multimodal analysis methods features. also current state research NF paradigms. Finally, identify some remaining field. Significance By exploring advancing our knowledge function its applications settings. As such, serves as valuable resource researchers, clinicians, engineers working field neural engineering rehabilitation, promising future EEG-fMRI-based NF.

Language: Английский

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Binaural Pulse Modulation (BPM) as an Adjunctive Treatment for Anxiety: A Pilot Study

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 147 - 147

Published: Jan. 31, 2025

Background: Treating psychiatric illnesses or influencing mental states with neurofeedback is challenging, likely due to the limited spatial specificity of EEG and complications arising from inadequate signal-to-noise ratio reduction single-trial EEG. Objective: This pilot study aimed investigate feasibility employing a binaural pulse mode-modulation (BPM) device reduce anxiety by self-regulation. We desired determine whether could be significantly reduced regulated using BPM-type systems. Methods: Sixty adult participants were examined self-reported tests (COVID Stress Scale, Generalized Anxiety Disorder 7, Beck Depression Inventory-II), which completed before treatment, after four weeks, 12 weeks post-treatment. BPM produced two frequencies combined create through differential auditory tone presentations. The participant calibrated suitable target for optimal treatment efficacy. Each adjusted enhance emotional intensity felt when envisioning an experience comparable significance while performing cognitive task concurrently listening music. “treatment” relied on individual’s regulation pulses obtain state. training concentrated particular facets their psychological challenges tone, adjusting knob until sound amplified intended Another was turned intensify state associated distress reduction. Results: On measures, group better than sham (control) groups (p < 0.01). These findings indicate that over four-week intervention period, similarly effective. GAD-7, significant difference time noted at end experimental group, average GAD-7 score being lower Conclusions: seems induce short-term alteration in levels during therapy. study’s limitations are examined, recommendations future research provided.

Language: Английский

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Neurofeedback for Anorexia — RelaxNeuron — Aimed in Dissolving the Root Neuronal Cause

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Anorexia Nervosa (AN) is a complex disorder involving psychological, neurobiological, and metabolic dysregulation, characterized by an intense fear of weight gain severe food restriction. Despite the availability outpatient psychotherapies, current treatment approaches face significant barriers, including high costs, limited accessibility, relapse rates. Additionally, traditional interventions often rely on verbal engagement cognitive restructuring, which may be ineffective for individuals with rigidity impaired interoception—key features AN. These challenges underscore urgent need accessible, self-administered intervention that can complement existing therapies. To address this need, we developed RelaxNeuron, novel neurofeedback (NF) software designed to modulate response stimuli facilitate adaptive neural regulation in AN patient. Unlike conventional NF, targets general states, RelaxNeuron dynamically responds users' emotional physiological reactions using electroencephalography (EEG) electrocardiogram (ECG) signals. The system provides real-time feedback based both state inference eye-tracking performance, helping users gradually reduce food-related anxiety attentional biases. By reinforcing more patterns through repeated training, aims alleviate conditioned responses, promoting flexible less distressing food. Beyond its therapeutic application, also serves as research instrument studying neurophysiological aspects AN, particularly eye movement abnormalities, interoceptive deficits, modulation. Given multifactorial nature future studies should explore integrating genetic-based optimize long-term recovery outcomes. Preliminary results suggest NF-based offer promising, cost-effective, scalable alternative struggling those unable access treatment. Further needed validate clinical efficacy integration within comprehensive, multidisciplinary framework.

Language: Английский

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Effects of a 14-day bioacoustic correction program on neuropsychological parameters in sports science students: A randomized controlled clinical trial

Biomedical Human Kinetics, Journal Year: 2025, Volume and Issue: 17(1), P. 98 - 106

Published: Jan. 1, 2025

Abstract Study aim: This study aimed to determine the influence of a 14-day bioacoustic correction (BAC) program, which in future may become solution for individuals experiencing increased psycho-emotional stress, on properties attention and concentration sports science students. BAC translates EEG activity into auditory feedback, facilitating cognitive self-regulation. Material Methods: The involved 20 volunteers among students, 10 males, females, who were randomly allocated experimental control groups. Results: A significant group × time interaction was revealed variables stability ( F = 7.36, η p 2 0.29, 0.01) mistakes 15.49, 0.46, 0.001) Bourdon test, 36.99, 0.67, switch ability 17.86, 0.49, 0.010), 29.43, 0.62, 0.001), Landolt favor group. There no statistically Toulouse-Pieron or Schulte table tests. Additionally, following demonstrated improvement almost all parameters tests used. Conclusion: provides novel evidence regarding efficiency program increasing students physical education. improvements observed significant, supporting potential recommendation wider use.

Language: Английский

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Non-linear processing and reinforcement learning to predict rTMS treatment response in depression

Psychiatry Research Neuroimaging, Journal Year: 2023, Volume and Issue: 337, P. 111764 - 111764

Published: Nov. 23, 2023

Language: Английский

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The Use of Transcranial Magnetic Stimulation in Attention Optimization Research: A Review from Basic Theory to Findings in Attention-Deficit/Hyperactivity Disorder and Depression

Life, Journal Year: 2024, Volume and Issue: 14(3), P. 329 - 329

Published: Feb. 29, 2024

This review explores the pivotal role of attention in everyday life, emphasizing significance studying attention-related brain functions. We delve into development methodologies for investigating and highlight crucial neuroimaging transcranial magnetic stimulation (TMS) advancing research. Attention optimization theory is introduced to elucidate neural basis attention, identifying key regions circuits involved processes. The further neuroplasticity, shedding light on how dynamically adapts changes optimize attention. A comprehensive overview TMS provided, elucidating principles applications this technique affecting activity through field stimulation. application research discussed, outlining it can be employed regulate networks. clinical are explored attention-deficit/hyperactivity disorder (ADHD) depression. emerges as an effective treatment ADHD, showcasing its potential addressing disorders. Additionally, paper emphasizes efficacy technology a method regulating depression, underlining versatility therapeutic settings. In conclusion, underscores interdisciplinary approach research, integrating neuroimaging, TMS. presented findings contribute our understanding mechanisms promising synthesis theoretical practical insights aims propel advancements applications.

Language: Английский

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Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous EEG-fMRI study

NeuroImage, Journal Year: 2024, Volume and Issue: 293, P. 120629 - 120629

Published: April 30, 2024

Covert speech (CS) refers to speaking internally oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing content by brain-computer interface (BCI) also an emerging technique. However, it still controversial whether a truncated neural process of overt (OS) involves independent patterns. Here, we performed word-speaking experiment with simultaneous EEG-fMRI. It 32 participants, who generated words both overtly covertly. By integrating spatial constraints from fMRI into EEG source localization, precisely estimated the spatiotemporal dynamics activity. During CS, activity was localized three regions: left precentral gyrus, supplementary motor area, putamen. Although OS more brain regions stronger activations, characterized earlier event-locked activation putamen (peak at 262 ms versus 1170 ms). The identified as only hub node within functional connectivity (FC) networks while showing weaker FC strength towards speech-related dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating indirect association between which mediated reduced regions. These findings specific offering insights mechanisms that are potentially relevant for future treatment self-regulation deficits, disorders, development BCI applications.

Language: Английский

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Source localization and functional network analysis in emotion cognitive reappraisal with EEG-fMRI integration

Frontiers in Human Neuroscience, Journal Year: 2022, Volume and Issue: 16

Published: Aug. 12, 2022

The neural activity and functional networks of emotion-based cognitive reappraisal have been widely investigated using electroencephalography (EEG) magnetic resonance imaging (fMRI). However, single-mode neuroimaging techniques are limited in exploring the regulation process with high temporal spatial resolution.

Language: Английский

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