Closed-loop brain training: the science of neurofeedback

Nature reviews. Neuroscience, Journal Year: 2016, Volume and Issue: 18(2), P. 86 - 100

Published: Dec. 22, 2016

Language: Английский

---

Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia

NeuroImage, Journal Year: 2015, Volume and Issue: 124, P. 127 - 146

Published: May 21, 2015

Language: Английский

---

Neurofeedback with fMRI: A critical systematic review

NeuroImage, Journal Year: 2017, Volume and Issue: 172, P. 786 - 807

Published: Dec. 27, 2017

Language: Английский

---

The self-regulating brain and neurofeedback: Experimental science and clinical promise

Cortex, Journal Year: 2015, Volume and Issue: 74, P. 247 - 261

Published: Nov. 18, 2015

Language: Английский

---

The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex

Neuropsychopharmacology, Journal Year: 2021, Volume and Issue: 47(1), P. 276 - 291

Published: Aug. 18, 2021

Language: Английский

---

Integrated use of biofeedback and neurofeedback techniques in treating pathological conditions and improving performance: a narrative review

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

Published: March 19, 2024

In recent years, the scientific community has begun tо explore efficacy оf an integrated neurofeedback + biofeedback approach іn various conditions, both pathological and non-pathological. Although several studies have contributed valuable insights into its potential benefits, this review aims further investigate effectiveness by synthesizing current findings identifying areas for future research. Our goal іs provide a comprehensive overview that may highlight gaps existing literature propose directions subsequent studies. The search articles was conducted on digital databases PubMed, Scopus, Web of Science. Studies to used published between 2014 2023 reviews analyzed biofeedback, separately, related same time interval topics were selected. identified five compatible with objectives review, conditions: nicotine addiction, sports performance, Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity (ADHD). been shown be effective in improving aspects these such as reduction presence psychiatric symptoms, anxiety, depression, withdrawal symptoms increase self-esteem smokers; improvements communication, imitation, social/cognitive awareness, social behavior ASD subjects; attention, alertness, reaction champions; attention inhibitory control ADHD subjects. Further research, characterized greater methodological rigor, is therefore needed determine method superiority, if any, type training over single administration either. This intended serve catalyst signaling promising advancement methodologies.

Language: Английский

---

Selective Development of Anticorrelated Networks in the Intrinsic Functional Organization of the Human Brain

Journal of Cognitive Neuroscience, Journal Year: 2013, Volume and Issue: 26(3), P. 501 - 513

Published: Nov. 4, 2013

Abstract We examined the normal development of intrinsic functional connectivity default network (brain regions typically deactivated for attention-demanding tasks) as measured by resting-state fMRI in children, adolescents, and young adults ages 8–24 years. investigated both positive negative correlations employed analysis methods that allowed valid interpretation also minimized influence motion artifacts are often confounds developmental neuroimaging. As age increased, there were robust increases correlations, including those between medial pFC (MPFC) dorsolateral (DLPFC) lateral parietal cortices brain associated with dorsal attention network. Between multiple regions, these reversed from being children to adults. Age-related changes within below statistical threshold after controlling motion. Given evidence greater correlation MPFC DLPFC is superior cognitive performance, an anticorrelation may be a marker large growth working memory executive functions occurs childhood adulthood.

Language: Английский

---

Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback

Cerebral Cortex, Journal Year: 2015, Volume and Issue: unknown, P. bhv311 - bhv311

Published: Dec. 17, 2015

Most mental functions are associated with dynamic interactions within functional brain networks. Thus, training individuals to alter networks might provide novel and powerful means improve cognitive performance emotions. Using a connectivity-neurofeedback approach based on magnetic resonance imaging (fMRI), we show for the first time that participants can learn change Specifically, taught control over key component of emotion regulation network, in they learned increase top-down connectivity from dorsomedial prefrontal cortex, which is involved control, onto amygdala, processing. After training, successfully self-regulated between these areas even without neurofeedback, this was concomitant increases subjective valence ratings emotional stimuli participants. Connectivity-based neurofeedback goes beyond previous approaches, were limited localized activity region. It allows noninvasively nonpharmacologically interconnected directly, thereby resulting specific behavioral changes. Our results demonstrate connectivity-based enhances capabilities. This potentially lead therapeutic protocols neuropsychiatric disorders.

Language: Английский

---

Resting‐state functional connectivity and nicotine addiction: prospects for biomarker development

Annals of the New York Academy of Sciences, Journal Year: 2015, Volume and Issue: 1349(1), P. 64 - 82

Published: Sept. 1, 2015

Given conceptual frameworks of addiction as a disease intercommunicating brain networks, examinations network interactions may provide holistic characterization addiction‐related dysfunction. One such methodological approach is the examination resting‐state functional connectivity, which quantifies correlations in low‐frequency fluctuations blood oxygen level–dependent magnetic resonance imaging signal between disparate regions absence task performance. Here, evidence differentiated effects chronic nicotine exposure, reduces efficiency communication across brain, and acute increases connectivity within specific limbic circuits, discussed. Several large‐scale resting including salience, default, executive control have also been implicated addiction. The dynamics changes among these networks during withdrawal satiety heuristic framework with to characterize neurobiological mechanism ability simultaneously quantify both (trait) (state) exposure provides platform develop neuroimaging‐based biomarker. While development remains its early stages, coherent modulations at various stages suggests potential on focus future biomarker development.

Language: Английский

---

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

---