Translation of monosynaptic circuits underlying amygdala fMRI neurofeedback training

Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 49(12), P. 1839 - 1850

Published: Aug. 5, 2024

fMRI neurofeedback using autobiographical memory recall to upregulate the amygdala is associated with resting-state functional connectivity (rsFC) changes between and salience default mode networks (SN DMN, respectively). We hypothesize existence of anatomical circuits underlying these rsFC changes. Using a cross-species brain parcellation, we identified in non-human primates locations homologous regions interest (ROIs) from studies showing pre-to-post-neurofeedback left amygdala. injected bidirectional tracers basolateral, lateral, central nuclei adult macaques used bright- dark-field microscopy identify cells axon terminals each ROI (SN: anterior cingulate, ventrolateral, insular cortices; DMN: temporal pole, middle frontal gyrus, angular precuneus, posterior cingulate cortex, parahippocampal hippocampus, thalamus). also performed additional injections specific ROIs validate results following delineate potential disynaptic pathways. Finally, high-resolution diffusion MRI data four post-mortem macaque brains one vivo human translate our findings neuroimaging domain. Different had significant monosynaptic connections all SN DMN ipsilateral ROIs. Amygdala contralateral are through hippocampus gyrus. Diffusion both species benefitted ground-truth tracer its findings, as false-negative false-positive results. This study provides foundation for future causal investigations modulation anatomic connections.

Language: Английский

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“Listen to your heart”: A novel interoceptive strategy for real-time fMRI neurofeedback training of anterior insula activity

NeuroImage, Journal Year: 2023, Volume and Issue: 284, P. 120455 - 120455

Published: Nov. 10, 2023

Real-time fMRI (rt-fMRI) neurofeedback (NF) training is a novel non-invasive technique for volitional brain modulation. Given the important role of anterior insula (AI) in human cognitive and affective processes, it has become one most investigated regions rt-fMRI studies. Most studies employed emotional recall/imagery as regulation strategy, which may be less effective psychiatric disorders characterized by altered processing. The present study thus aimed to examine feasibility interoceptive strategy based on heartbeat detection guided AI its associated behavioral changes using randomized double-blind, sham feedback-controlled between-subject design. 66 participants were recruited randomly assigned receive either NF from left (LAI) or feedback control region while strategy. N = 57 included final data analyses. Empathic pre-post collected measures effects. Results showed that group exhibited stronger LAI activity than with being positively correlated accuracy following training, although there no significant increases over sessions. Importantly, ability could maintained transfer session without feedback. Successful was strengthened functional connectivity control, memory learning, salience/interoceptive networks. demonstrated first time efficacy processing up-regulating activity. Our findings also provide proof concept translational potential this

Language: Английский

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Neurofeedback and epilepsy: Renaissance of an old self-regulation method?

Revue Neurologique, Journal Year: 2024, Volume and Issue: 180(4), P. 314 - 325

Published: March 13, 2024

Language: Английский

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Network meta-analysis of the effects of different cognitive trainings on the cognitive function of patients with mild cognitive impairment

Journal of Psychiatric Research, Journal Year: 2024, Volume and Issue: 174, P. 26 - 45

Published: April 9, 2024

Language: Английский

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Alpha/Theta Neurofeedback Rehabilitation for Improving Attention and Working Memory in Female Students with Learning Disabilities

OBM Neurobiology, Journal Year: 2024, Volume and Issue: 08(03), P. 1 - 20

Published: July 1, 2024

Learning disabilities (LDs) encompass a range of cognitive challenges that can significantly influence students' educational experiences and overall academic performance. This study aimed to investigate the effects alpha/theta neurofeedback rehabilitation on attention working memory in female students with learning disabilities. employed quasi-experimental design pre-tests, post-tests, two-month follow-up included control group. Convenience sampling was used select 40 referred psychological clinics Tehran during 2020-2021 year. The participants were randomly assigned experimental group (n = 20) or 20). Three from each withdrew study, leaving 17 for final analysis. Attention assessed using n-back task, Stroop test, Reverse test. Data analysis involved mixed repeated ANOVA, independent t-tests, chi-square tests. findings revealed improved all aspects specified period. These improvements remained consistent (p < 0.001). demonstrated potentially enhance

Language: Английский

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Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory

Cognitive Affective & Behavioral Neuroscience, Journal Year: 2024, Volume and Issue: 24(6), P. 1065 - 1083

Published: Sept. 25, 2024

Language: Английский

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Remote neurocognitive interventions for attention-deficit/hyperactivity disorder – Opportunities and challenges

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2023, Volume and Issue: 127, P. 110802 - 110802

Published: May 29, 2023

Language: Английский

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Whole-brain Mechanism of Neurofeedback Therapy: Predictive Modeling of Neurofeedback Outcomes on Repetitive Negative Thinking in Depression

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 17, 2023

Abstract Real-time fMRI neurofeedback (rtfMRI-NF) has emerged as a promising intervention for psychiatric disorders, yet its clinical efficacy remains underexplored due to limited controls and an incomplete mechanistic understanding. This study aimed elucidate the whole-brain mechanisms underpinning effects of rtfMRI-NF on repetitive negative thinking in depression. In double-blind randomized controlled trial, forty-three depressed individuals underwent NF training targeting functional connectivity (FC) between posterior cingulate cortex right temporoparietal junction, linked rumination severity. Participants were randomly assigned active or sham groups, with group receiving synthesized feedback mimicking real signal patterns. The demonstrated significant reduction brooding scores (p<0.001, d=-1.52), whereas did not (p=0.503, d=- 0.23). While target FC show discernible differences, we found that interaction brain activities during regulation response was critical factor explaining treatment outcomes. Connectome-based predictive modeling (CPM) analysis, incorporating this interaction, successfully predicted changes across both groups. FCs significantly contributing prediction distributed broad regions, notably frontal control, salience network, subcortical reward processing areas. These results underscore importance considering interplay understanding therapeutic rtfMRI-NF. only affirms potential depression but also highlights need more nuanced efficacy.

Language: Английский

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EEG decoding with spatiotemporal convolutional neural network for visualization and closed‐loop control of sensorimotor activities: A simultaneous EEG‐fMRI study

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(9)

Published: June 15, 2024

Abstract Closed‐loop neurofeedback training utilizes neural signals such as scalp electroencephalograms (EEG) to manipulate specific activities and the associated behavioral performance. A spatiotemporal filter for high‐density whole‐head EEG using a convolutional network can overcome ambiguity of signaling source because each signal includes information on remote regions. We simultaneously acquired functional magnetic resonance images in humans during brain‐computer interface (BCI) based compared reconstructed modeled hemodynamic responses sensorimotor network. Filters constructed with captured targeted spatial precision specificity superior those preprocessed standard pipelines used BCI‐based paradigms. The middle layers trained model were examined characterize neuronal oscillatory features that contributed reconstruction. Analysis convolution revealed contribution distributed cortical circuitries reconstruction, including frontoparietal areas, temporal successfully response function. Employing leveraging electrophysiological signatures excitability identified our layer analysis would contribute development further effective intervention.

Language: Английский

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Successful Modulation of Temporoparietal Junction Activity and Stimulus-Driven Attention by fNIRS-based Neurofeedback – a Randomized Controlled Proof-of-Concept Study

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 14, 2023

Abstract The right temporoparietal junction (rTPJ) is a core hub in neural networks associated with reorienting of attention and social cognition. However, it remains unknown whether participants can learn to actively modulate their rTPJ activity via neurofeedback. Here, we explored the feasibility functional near-infrared spectroscopy (fNIRS)-based neurofeedback modulating its effect on functions such as visual perspective taking. In bidirectional regulation control group design, 50 healthy were either reinforced up- or downregulate activation over four days training. Both groups showed an increase from beginning trainingbut only upregulation maintained this effect, while downregulation decline initial activation. This suggests learning exclusively, making challenging draw definitive conclusions about effectiveness observed group-specific effects behavioral level. We found significant x time interaction performance task changes, decreased reaction times (RTs) increased RTs across all conditions after Those low baseline greater improvements. perspective-taking task, however, that non-group-specific.These findings demonstrate fNIRS-based feasible method preliminary evidence neurophysiologically specific effects, thus paving way for future applications non-invasive modulation neuropsychiatric disorders. Graphical abstract Highlights attentive socio-cognitive promising target neuromodulatory interventions first single-blinded, randomized controlled study demonstrates training adults subjects are able regulate different characteristics stimulus-driven have important implications clinical translation targeting

Language: Английский

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