Neurofeedback, sham neurofeedback, and cognitive-behavioural group therapy in adults with attention-deficit hyperactivity disorder: a triple-blind, randomised, controlled trial

The Lancet Psychiatry, Journal Year: 2017, Volume and Issue: 4(9), P. 673 - 684

Published: Aug. 10, 2017

Language: Английский

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Training emotion regulation through real-time fMRI neurofeedback of amygdala activity

NeuroImage, Journal Year: 2018, Volume and Issue: 184, P. 687 - 696

Published: Oct. 1, 2018

Language: Английский

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Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers

The International Journal of Neuropsychopharmacology, Journal Year: 2017, Volume and Issue: 20(10), P. 769 - 781

Published: July 12, 2017

Psychiatric research has been hampered by an explanatory gap between psychiatric symptoms and their neural underpinnings, which resulted in poor treatment outcomes. This situation prompted us to shift from symptom-based diagnosis data-driven diagnosis, aiming redefine disorders as of circuitry. Promising candidates for include resting-state functional connectivity MRI (rs-fcMRI)-based biomarkers. Although biomarkers have developed with the aim diagnosing patients predicting efficacy therapy, focus shifted identification that represent therapeutic targets, would allow more personalized approaches. type biomarker (i.e., "theranostic biomarker") is expected elucidate disease mechanism conditions offer individualized circuit-based target based on cause a condition. To this end, researchers rs-fcMRI-based investigated causal relationship potential disease-specific behavior using (fMRI)-based neurofeedback connectivity. In review, we introduce recent approach creating theranostic biomarker, consists mainly 2 parts: (1) developing can predict and/or high accuracy, (2) introduction proof-of-concept study investigating normalizing symptom changes fMRI-based neurofeedback. parallel studies, review neurofeedback, focusing technological improvements limitations associated clinical use.

Language: Английский

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The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback—A Systematic Review and Recommendations for Best Practice

Frontiers in Neuroscience, Journal Year: 2020, Volume and Issue: 14

Published: July 21, 2020

Background: The effects of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)-neurofeedback on brain activation behaviors have been studied extensively in the past. More recently, researchers begun to investigate near-infrared spectroscopy-based neurofeedback (fNIRS-neurofeedback). FNIRS is a neuroimaging technique based hemodynamics, which easy use, portable, inexpensive, has reduced sensitivity movement artifacts. Method: We provide first systematic review database fNIRS-neurofeedback studies, synthesizing findings from 22 peer-reviewed studies (including total N = 441 participants; 337 healthy, 104 patients). (1) give comprehensive overview how training protocols were implemented, (2) online signal-processing methods used, (3) evaluate quality using pre-set methodological reporting criteria also present statistical sensitivity/power analyses, (4) effectiveness modulating activation, (5) its changing behavior healthy pathological populations. Results discussion: (1-2) Published are heterogeneous (e.g., targets, investigated populations, applied protocols, methods). Large randomized controlled trials still lacking. In view novelty field, published moderate. identified room for improvement important information power detect realistic effects. Several show that people can regulate hemodynamic signals cortical regions with these indicate feasibility motor control prefrontal functioning participants ameliorating symptoms clinical populations (stroke, ADHD, autism, social anxiety). However, valid conclusions about specificity or potential utility premature. Conclusion: Due advantages practicability relatively low cost, might suitable powerful alternative EEG fMRI great translation neurofeedback. Together more rigorous research practices, further improvements may lead solid understanding fNIRS-neurofeedback. Future will benefit exploiting fNIRS, offers unique opportunities research.

Language: Английский

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Computational neuroscience approach to biomarkers and treatments for mental disorders

Psychiatry and Clinical Neurosciences, Journal Year: 2016, Volume and Issue: 71(4), P. 215 - 237

Published: Dec. 29, 2016

Psychiatry research has long experienced a stagnation stemming from lack of understanding the neurobiological underpinnings phenomenologically defined mental disorders. Recently, application computational neuroscience to psychiatry shown great promise in establishing link between phenomenological and pathophysiological aspects disorders, thereby recasting current nosology more biologically meaningful dimensions. In this review, we highlight recent investigations into that have undertaken either theory- or data-driven approaches quantitatively delineate mechanisms The theory-driven approach, including reinforcement learning models, plays an integrative role process by enabling correspondence behavior disorder-specific alterations at multiple levels brain organization, ranging molecules cells circuits. Previous studies explicated plethora defining symptoms anhedonia, inattention, poor executive function. on other hand, is emerging field seeking identify features among high-dimensional big data. Remarkably, various machine-learning techniques been applied neuroimaging data, extracted used for automatic case-control classification. For many reported accuracies reached 90% more. However, note rigorous tests independent cohorts are critically required translate clinical applications. Finally, discuss utility found approach psychiatric therapies, neurofeedback. Such developments will allow simultaneous diagnosis treatment disorders using neuroimaging, 'theranostics' first time psychiatry.

Language: Английский

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Freedom of Thought and Mental Integrity: The Moral Requirements for Any Neural Prosthesis

Frontiers in Neuroscience, Journal Year: 2018, Volume and Issue: 12

Published: Feb. 19, 2018

There are many kinds of neural prostheses available or being researched today. In most cases they intended to cure improve the condition patients affected by some cerebral deficiency. other cases, their goal is provide new means maintain an individual's normal performance. all these circumstances, one possible risks that violating privacy brain contents (which partly coincide with mental contents) depriving individuals full control over thoughts (mental states), as latter at least detectable prosthetic technologies. Given (ethical) premise absolute and integrity relevant part one's data (one of) valuable inviolable human right(s), I argue a (technical) principle should guide design regulation prostheses. The justified fact whatever coercion, threat violence undergone, person can generally preserve "sanctuary thought" in which defend her convictions identity, dignity autonomy. Without it, may end up state complete subjection individuals. following functional be technically designed built so prevent such outcomes. They should: (a) incorporate systems find signal unauthorized detection, alteration diffusion functioning; (b) able stop any data. This not only regard individual devices, but act general operating shared interconnected deal decoding activity functioning.

Language: Английский

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Neurofeedback: One of today's techniques in psychiatry?

L Encéphale, Journal Year: 2016, Volume and Issue: 43(2), P. 135 - 145

Published: Dec. 29, 2016

Language: Английский

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Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements

NeuroImage, Journal Year: 2019, Volume and Issue: 202, P. 116107 - 116107

Published: Aug. 19, 2019

Language: Английский

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Functional connectivity changes associated with fMRI neurofeedback of right inferior frontal cortex in adolescents with ADHD

NeuroImage, Journal Year: 2018, Volume and Issue: 188, P. 43 - 58

Published: Dec. 1, 2018

Attention Deficit Hyperactivity Disorder (ADHD) is associated with poor self-control, underpinned by inferior fronto-striatal deficits. We showed previously that 18 ADHD adolescents over 11 runs of 8.5 min real-time functional magnetic resonance neurofeedback the right frontal cortex (rIFC) progressively increased activation in 2 regions rIFC which was clinical symptom improvement. In this study, we used connectivity analyses to investigate whether fMRI-Neurofeedback resulted dynamic changes underlying neural networks. Whole-brain seed-based were conducted using two clusters showing as seed test for before and after runs. Furthermore, tested resulting improvements they specific when compared a control group who had self-regulate another region. positive relative dorsal caudate anterior cingulate negative default mode network (DMN) such posterior precuneus. correlated correlation findings rIFC-Neurofeedback group. The show first time typically dysfunctional region leads strengthening within fronto-cingulo-striatal networks weakening DMN may be

Language: Английский

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The Inclusion of Functional Connectivity Information into fMRI-based Neurofeedback Improves Its Efficacy in the Reduction of Cigarette Cravings

Journal of Cognitive Neuroscience, Journal Year: 2015, Volume and Issue: 27(8), P. 1552 - 1572

Published: March 11, 2015

Real-time fMRI (rtfMRI) neurofeedback (NF) facilitates volitional control over brain activity and the modulation of associated mental functions. The NF signals traditional rtfMRI-NF studies predominantly reflect neuronal within ROIs. In this study, we describe a novel approach that includes functional connectivity (FC) component in signal (FC-added rtfMRI-NF). We estimated efficacy FC-added method by applying it to nicotine-dependent heavy smokers an effort reduce cigarette craving. ACC medial pFC as well posterior cingulate cortex precuneus are with craving were chosen Fourteen randomly assigned receive one two types NF: activity-based or rtfMRI-NF. Participants received training during separate visits after overnight smoking cessation, score was assessed. resulted greater increased FC between targeted ROIs than lower score. condition, average tightly (Bonferroni-corrected p = .028). However, no association detected (uncorrected > .081). Non-rtfMRI data analysis also showed enhanced NF. These results demonstrate function

Language: Английский

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