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

Diagnostics, Год журнала: 2025, Номер 15(4), С. 456 - 456

Опубликована: Фев. 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.

Язык: Английский

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Real-time fMRI neurofeedback modulates auditory cortex activity and connectivity in schizophrenia patients with auditory hallucinations: A controlled study

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

We have reported previously a reduction in superior temporal gyrus (STG) activation and auditory verbal hallucinations (AHs) after real-time fMRI neurofeedback (NFB) schizophrenia patients with AHs. With this randomized, participant-blinded, sham-controlled trial, we expanded our previous results. Specifically, examined effects from the STG, an area associated hallucinations. The were compared to Sham-NFB motor cortex, region unrelated Twenty-three adults or schizoaffective disorder frequent medication-resistant performed mindfulness meditation ignore pre-recorded stranger's voices while receiving either STG (n=10, Real-NFB) cortex (n=13 Sham-NFB). Individuals randomized received Real-NFB subsequent visit, providing within-subject 'Real-after-Sham-NFB' comparison. Both groups showed reduced AHs NFB, no group differences. Compared group, more secondary (AC) connectivity between AC cognitive control regions including dorsolateral prefrontal (DLPFC) anterior cingulate. was also observed Real-after-Sham-NFB condition. Secondary AC-DLPFC correlated hallucination group. Replicating prior results, both primary activation, suggesting may regulate bottom-up processes involved Our findings emphasize delivering NFB brain They provide insights into network interactions, highlighting complex processing dynamics top-down modulation of sensory information.

Язык: Английский

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The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review

Neural Plasticity, Год журнала: 2021, Номер 2021, С. 1 - 31

Опубликована: Фев. 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.

Язык: Английский

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Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Год журнала: 2022, Номер 119, С. 110605 - 110605

Опубликована: Июль 16, 2022

Язык: Английский

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Real-Time fMRI Functional Connectivity Neurofeedback Reducing Repetitive Negative Thinking in Depression: A Double-Blind, Randomized, Sham-Controlled Proof-of-Concept Trial

Psychotherapy and Psychosomatics, Год журнала: 2023, Номер 92(2), С. 87 - 100

Опубликована: Янв. 1, 2023

Introduction: Repetitive negative thinking (RNT) is a cognitive process focusing on self-relevant and experiences, leading to poor prognosis of major depressive disorder (MDD). We previously identified that connectivity between the precuneus/posterior cingulate cortex (PCC) right temporoparietal junction (rTPJ) was positively correlated with levels RNT. Objective: In this double-blind, randomized, sham-controlled, proof-of-concept trial, we employed real-time functional magnetic resonance imaging neurofeedback (rtfMRI-nf) delineate neural processes may be causally linked RNT could potentially become treatment targets for MDD. Methods: MDD-affected individuals were assigned either active (n = 20) or sham feedback group 19). measured by Ruminative Response Scale-brooding subscale (RRS-B) before 1 week after intervention. Results: Individuals in but not showed significant reduction RRS-B; however, greater PCC-rTPJ unrelated RRS-B. Exploratory analyses revealed retrosplenial (RSC)-rTPJ yielded more pronounced RRS-B group. Conclusions: RtfMRI-nf effective reducing Considering underlying mechanism rtfMIR-nf, RSC rTPJ part network (i.e., default mode network) might collectively affect intensity Understanding relationship organization targeted changes clinical metrics, such as RNT, has potential guide development mechanism-based

Язык: Английский

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Review on the Use of Brain Computer Interface Rehabilitation Methods for Treating Mental and Neurological Conditions

Journal of Integrative Neuroscience, Год журнала: 2024, Номер 23(7)

Опубликована: Июль 5, 2024

This review provides a comprehensive examination of recent developments in both neurofeedback and brain-computer interface (BCI) within the medical field rehabilitation. By analyzing comparing results obtained with various tools techniques, we aim to offer systematic understanding BCI applications concerning different modalities input data utilized. Our primary objective is address existing gap area meta-reviews, which more outlook on field, allowing for assessment current landscape scope BCI. main methodologies include meta-analysis, search queries employing relevant keywords, network-based approach. We are dedicated delivering an unbiased evaluation studies, elucidating vectors research development this field. encompasses diverse range applications, incorporating use interfaces rehabilitation treatment diagnoses, including those related affective spectrum disorders. encompassing wide variety cases, perspective utilization treatments across contexts. The structured organized presentation information, complemented by accompanying visualizations diagrams, renders valuable resource scientists researchers engaged domains biofeedback interfaces.

Язык: Английский

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

Journal of Neural Engineering, Год журнала: 2023, Номер 20(5), С. 051003 - 051003

Опубликована: Окт. 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.

Язык: Английский

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The efficacy of real-time functional magnetic resonance imaging neurofeedback for psychiatric illness: A meta-analysis of brain and behavioral outcomes

Neuroscience & Biobehavioral Reviews, Год журнала: 2020, Номер 121, С. 291 - 306

Опубликована: Дек. 25, 2020

Язык: Английский

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Neuromodulation of brain activation associated with addiction: A review of real-time fMRI neurofeedback studies

NeuroImage Clinical, Год журнала: 2020, Номер 27, С. 102350 - 102350

Опубликована: Янв. 1, 2020

Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-nf) has emerged in recent years as an modality used to examine volitional control over targeted brain activity. rtfMRI-nf also been applied clinically a way train individuals self-regulate areas of the brain, or circuitry, involved various disorders. One such application domain addictive behaviors, including substance use. Given pervasiveness use and challenges existing treatments sustain abstinence, identified promising treatment tool. basic science research order test ability modulate function addiction. This review focuses first on providing overview studies substance-using populations, specifically nicotine, alcohol, cocaine users, aimed at reducing craving-related activation. Next, targeting reward responsivity emotion regulation healthy samples are reviewed extent which addiction can be self-regulated using neurofeedback. We propose that future could strengthened by improvements study design, sample selection, more robust strategies development assessment clinical treatment. Recommendations for ways accomplish these provided. holds much promise directly target key regions addiction, however additional needed establish effective, practical,

Язык: Английский

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Considering the Purposes of Moral Education with Evidence in Neuroscience: Emphasis on Habituation of Virtues and Cultivation of Phronesis

Ethical Theory and Moral Practice, Год журнала: 2023, Номер 27(1), С. 111 - 128

Опубликована: Фев. 11, 2023

Язык: Английский

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