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, Journal Year: 2023, Volume and Issue: 92(2), P. 87 - 100

Published: Jan. 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

Language: Английский

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An investigation of the effectiveness of neurofeedback training on motor performance in healthy adults: A systematic review and meta-analysis

NeuroImage, Journal Year: 2023, Volume and Issue: 270, P. 120000 - 120000

Published: March 3, 2023

Neurofeedback training (NFT) refers to a where the participants voluntarily aim manipulate their own brain activity using sensory feedback abstracted from activity. NFT has attracted attention in field of motor learning due its potential as an alternative or additional method for general physical training. In this study, systematic review studies performance improvements healthy adults and meta-analysis on effectiveness were conducted. A computerized search was performed databases Web Science, Scopus, PubMed, JDreamIII, Ichushi-Web identify relevant published between January 1st, 1990, August 3rd, 2021. Thirty-three identified qualitative synthesis 16 randomized controlled trials (374 subjects) meta-analysis. The meta-analysis, including all found search, revealed significant effects improvement examined at timing after last session (standardized mean difference = 0.85, 95% CI [0.18-1.51]), but with existence publication biases substantial heterogeneity among trials. Subsequent meta-regression analysis demonstrated dose-response gradient NFTs improvements; more than 125 min cumulative time may benefit subsequent performance. For each measure (e.g., speed, accuracy, hand dexterity), remains inconclusive, mainly small sample sizes. More empirical be needed show beneficial safely incorporate into real-world scenarios.

Language: Английский

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Simultaneous real-time EEG-fMRI neurofeedback: A systematic review

Frontiers in Human Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: March 31, 2023

Neurofeedback (NF) is a biofeedback technique that teaches individuals self-control of brain functions by measuring activations and providing an online feedback signal to modify emotional, cognitive, behavioral functions. NF approaches typically rely on single modality, such as electroencephalography (EEG-NF) or imaging technique, functional magnetic resonance (fMRI-NF). The introduction simultaneous EEG-fMRI tools has opened up the possibility combining high temporal resolution EEG with spatial fMRI, thereby increasing accuracy NF. However, only few studies have actively combined both techniques. In this study, we conducted systematic review EEG-fMRI-NF (N = 17) identify potential effectiveness non-invasive treatment for neurological conditions. revealed lack homogeneity among studies, including sample sizes, acquisition methods in terms simultaneity two procedures (unimodal EEG-NF fMRI-NF), therapeutic targets field, number sessions. Indeed, because most are based session NF, it difficult draw any conclusions regarding efficacy Therefore, further research needed fully understand non-clinical clinical EEG-fMRI-NF.

Language: 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, Journal Year: 2024, Volume and Issue: 23(7)

Published: July 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.

Language: Английский

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Interpersonal neural synchrony and mental disorders: unlocking potential pathways for clinical interventions

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: March 11, 2024

Introduction Interpersonal synchronization involves the alignment of behavioral, affective, physiological, and brain states during social interactions. It facilitates empathy, emotion regulation, prosocial commitment. Mental disorders characterized by interaction dysfunction, such as Autism Spectrum Disorder (ASD), Reactive Attachment (RAD), Social Anxiety (SAD), often exhibit atypical with others across multiple levels. With introduction “second-person” neuroscience perspective, our understanding interpersonal neural (INS) has improved, however, so far, it hardly impacted development novel therapeutic interventions. Methods To evaluate potential INS-based treatments for mental disorders, we performed two systematic literature searches identifying studies that directly target INS through neurofeedback (12 publications; 9 independent studies) or stimulation techniques (7 studies), following PRISMA guidelines. In addition, narratively review indirect manipulations biofeedback, hormonal We discuss ASD, RAD, SAD using a database search assess acceptability (4 neurostimulation in patients dysfunction. Results Although behavioral approaches, engaging eye contact cooperative actions, have been shown to be associated increased INS, little is known about long-term consequences Few proof-of-concept utilized techniques, like transcranial direct current neurofeedback, showing feasibility preliminary evidence interventions can boost synchrony connectedness. Yet, optimal protocols parameters are still undefined. For SAD, far no randomized controlled trial proven efficacy intervention although general methods seem well accepted these patient groups. Discussion Significant work remains translate into effective disorders. Future research should focus on mechanistic insights technological advancements, rigorous design standards. Furthermore, will key compare targeting those other modalities define dyads clinical

Language: Английский

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