Neural Mechanisms of Feedback Processing and Behavioral Adaptation during Neurofeedback Training DOI Creative Commons
Gustavo Santo Pedro Pamplona, Jana Zweerings, Cindy Sumaly Lor

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 19, 2024

Abstract The acquisition of new skills is facilitated by providing individuals with feedback that reflects their performance. This process creates a closed loop involves processing and regulation recalibration to promote effective training. Functional magnetic resonance imaging (fMRI)-based neurofeedback unique in applying this principle delivering direct on the self-regulation brain activity. Understanding how feedback-driven learning occurs requires examining evaluated adjusts response signals. In pre-registered mega-analysis, we re-analyzed data from eight intermittent fMRI studies (N = 153 individuals) investigate regions where activity connectivity are linked (i.e., after feedback) during We harmonized scores presented training these computed linear associations using parametric general model analyses. observed that, processing, were positively associated (1) reward system, dorsal attention network, default mode cerebellum; (2) system-related within salience network. During recalibration, no significant between either or associative learning-related connectivity. Our results suggest processed supporting theory reinforcement shapes form addition, involvement large-scale networks continuously transitioning evaluating external internally assessing adopted cognitive state, suggests higher-level integral type learning. findings highlight pivotal role performance-related as driving force learning, potentially extending beyond other feedback-based processes. Key Points conducted mega-analysis integrating examine was well found positive blocks; however, additional analyses may have already occurred presentation.

Язык: Английский

Real-Time fMRI Functional Connectivity Neurofeedback Reducing Repetitive Negative Thinking in Depression: A Double-Blind, Randomized, Sham-Controlled Proof-of-Concept Trial DOI
Aki Tsuchiyagaito, Masaya Misaki, Namik Kirlić

и другие.

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

Процитировано

20
Feasibility and utility of amygdala neurofeedback DOI Creative Commons
Noam Goldway, Itamar Jalon,

Jackob N. Keynan

и другие.

Neuroscience & Biobehavioral Reviews, Год журнала: 2022, Номер 138, С. 104694 - 104694

Опубликована: Май 24, 2022

Язык: Английский

Процитировано

22
Down-regulation of theta amplitude through neurofeedback improves executive control network efficiency in healthy children DOI

Kaiwen Xiong,

Wenya Nan,

Mengqi Wan

и другие.

International Journal of Psychophysiology, Год журнала: 2024, Номер unknown, С. 112301 - 112301

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

4
Whole-brain mechanism of neurofeedback therapy: predictive modeling of neurofeedback outcomes on repetitive negative thinking in depression DOI Creative Commons
Masaya Misaki, Aki Tsuchiyagaito, Salvador M. Guinjoan

и другие.

Translational Psychiatry, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

3
Getting stress-related disorders under control: the untapped potential of neurofeedback DOI
Florian Krause, David E.J. Linden, Erno J. Hermans

и другие.

Trends in Neurosciences, Год журнала: 2024, Номер 47(10), С. 766 - 776

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

3
fNIRS neurofeedback facilitates emotion regulation: Exploring individual differences over the ventrolateral prefrontal cortex DOI Creative Commons
Yiwei Li, Sijin Li, Hua Li

и другие.

NeuroImage, Год журнала: 2025, Номер 308, С. 121079 - 121079

Опубликована: Фев. 8, 2025

The ventrolateral prefrontal cortex (VLPFC) plays a pivotal role in emotion regulation, yet the effectiveness of neurofeedback (NF) training targeting VLPFC remains uncertain, suggesting significant individual differences outcomes. In this study, we aimed to clarify these by enrolling 90 participants, randomly assigned either an experimental group or sham (n = 48/42). Participants underwent VLPFC-NF over eight sessions across two consecutive days, while those received random signals from functional near-infrared spectroscopy (fNIRS). To investigate variability, participants were further categorized as high low-efficacy groups based on their efficiency, determined regression slope activity sessions. Our results revealed reduction negative emotions and increased during regulation high-efficacy group, compared both group. Importantly, benefit reflected decreased negativity ratings, was predicted NF efficiency. Furthermore, enhancement fully mediated relationship between efficiency benefits. with higher exhibited greater engagement leading superior emotional Additionally, linked habitual use reappraisal strategies daily life. This study provides novel causal evidence that can effectively enhance highlighting importance findings suggest offers promising personalized intervention strategy for improving potential applications treating disorders. research underscores approaches, offering new avenues tailored therapeutic interventions future.

Язык: Английский

Процитировано

0
The Impact of Alpha‐Neurofeedback Training on Gastric Slow Wave Activity and Heart Rate Variability in Humans DOI Creative Commons
Jerin Mathew,

Jacob Galacgac,

Mark Llewellyn Smith

и другие.

Neurogastroenterology & Motility, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

ABSTRACT Introduction Neuromodulation of cortical brain regions associated with the gut‐brain axis may have potential to modulate gastric function. Previous studies shown phase‐amplitude coupling between electroencephalogram (EEG) alpha band frequency insula (Ins) and slow wave (GSW) activity. This study investigated first evidence EEG‐neurofeedback (EEG‐NF) training explore its effects on GSW activity heart rate variability (HRV). Methods A randomized crossover design was employed 20 healthy participants attending two separate sessions [ active‐training : uptraining left posterior Insula (LPIns) active‐control primary visual cortex (PVC Brodmann area 17)] following baseline recording period. 5‐min water loading test (5WLT) conducted EEG‐NF sessions. Finally, a post EEG‐NF/5WL period also recorded. Participants were blinded program, at least 48 h apart. Electrocardiogram (ECG), EEG, electrogastrogram (EGG) data recorded throughout theexperiment. In addition, duration successful NF extracted. Correlation analysis performed assess relationships outcome variables. Results Pearson correlation coefficient revealed significant relationship HRV metrics (RMSSD: r = 0.59; p 0.005, SI: −0.59; 0.006) in LPIns group EGG‐gastric rhythm index ( −0.40; 0.028) PVC group. Moreover, correlated EEG infraslow over anterior Ins 0.45; 0.043), right −0.5; 0.022), beta 0.44; 0.04) 0.04). Significant correlations observed connectivity gamma bands interest. Conclusion The demonstrated association HRV, (activity functional connectivity)measures did not show negative Gastric Alimetry Rhythm Index (GA‐RI) 5WLT as These findings underscore importance considering an important variable when evaluating efficacy future studies.

Язык: Английский

Процитировано

0
Amygdala EFP Neurofeedback Effects on PTSD Symptom Clusters and Emotional Regulation Processes DOI Open Access
Nadav Goldental, Raz Gross,

Daniela Amital

и другие.

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(7), С. 2421 - 2421

Опубликована: Апрель 2, 2025

Background: Post-traumatic stress disorder (PTSD) manifests through distinct symptom clusters that can respond differently to treatments. Neurofeedback guided by the Amygdala-derived-EEG-fMRI-Pattern (Amyg-EFP-NF) has been utilized train PTSD patients regulate amygdala-related activity and decrease symptoms. Methods: We conducted a combined analysis of 128 from three clinical trials Amyg-EFP-NF evaluate effects across (as assessed CAPS-5 subscales) on emotion regulation processing (evaluated ERQ). Results: significantly reduced severity all immediately post-treatment, with improvements maintained at three-month follow-up. The arousal reactivity cluster showed continued significant improvement during Combined effect sizes were large (η2p = 0.23-0.35) clusters. Regression revealed processes explained 17% variance in follow-up period. Conclusions: Reduction symptoms following occurs clusters, emotional potentially serving as an underlying mechanism action. These results support comprehensive treatment approach for continues show benefits after completion.

Язык: Английский

Процитировано

0
Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real‐Time fMRI Neurofeedback DOI Creative Commons
Jiahe Zhang,

Emma Tusuzian,

Francesca Morfini

и другие.

Depression and Anxiety, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

Auditory hallucinations (AHs) are debilitating and often treatment-resistant symptoms of schizophrenia (SZ). Real-time functional magnetic resonance imaging (fMRI) neurofeedback (NFB) is emerging as a flexible brain circuit-based tool for targeting AH via self-modulation activity. A better understanding what baseline characteristics predict NFB success will enhance its clinical utility. Previous work suggests that symptomology implicates measures across multiple modalities, including T1 structural MRI (sMRI), diffusion-weighted (dMRI), resting-state fMRI (rsfMRI). Specifically, severity treatment response associated with thinner superior temporal gyrus (STG), dorsolateral prefrontal cortex (DLPFC), reduced white matter integrity in tracts connecting regions implicated SZ symptomatology, increased within-default mode network (DMN) connectivity, DMN-DLPFC anticorrelation. In this study, we tested the individual combined contributions multimodal features prediction change after adults (N = 25, 36.1 ± 10.0 years, 24% females) spectrum disorders (SZ or schizoaffective disorder) frequent medication-resistant AH. Participants underwent scan (including sMRI, dMRI, rsfMRI) were randomly assigned to receive from their STG (n 12, real condition) motor (MC) 13, sham condition). was operationalized improvement NFB. We found higher severity, greater thickness, decreased dorsal cingulum integrity, within-DMN anticorrelation each individually correlated reduction severity. However, regression model, connectivity emerged only independent variable explained unique variance change. These results suggest specific rsfMRI measure, namely may be promising predictor reducing support precision medicine approach. Trial Registration: ClinicalTrials.gov identifier: NCT03504579.

Язык: Английский

Процитировано

0
Population-level constraints on single neuron tuning changes during behavioral adaptation DOI
Hannah M. Stealey, Yi Zhao, Hung‐Yun Lu

и другие.

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

Опубликована: Апрель 21, 2025

Abstract In neurofeedback training, select neurons – of the billions that comprise brain are able to adapt their activity produce a desired behavior, even though feedback signal is low-dimensional. However, extent individual alter within context population unclear. Using brain-computer interface in monkeys (n=2; Macaca mulatta ), we tested how tuning changed response various perturbations. Overall, found co-varied most with and those contributed behavior prior perturbation were resistant change– regardless type. The degree which counteracted applied explained daily differences well collectively produced adapted behavior. Our work provides important insight into population-level constraints impact ability support behavioral flexibility.

Язык: Английский

Процитировано

0