Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia DOI
Noam Goldway, Jacob N. Ablin,

Omer Lubin

et al.

NeuroImage, Journal Year: 2018, Volume and Issue: 186, P. 758 - 770

Published: Nov. 5, 2018

Language: Английский

Improving Motor Corticothalamic Communication After Stroke Using Real-Time fMRI Connectivity-Based Neurofeedback DOI Open Access

Sook-Lei Liew,

Mohit Rana,

Sonja Cornelsen

et al.

Neurorehabilitation and neural repair, Journal Year: 2015, Volume and Issue: 30(7), P. 671 - 675

Published: Dec. 14, 2015

Background. Two thirds of stroke survivors experience motor impairment resulting in long-term disability. The anatomical substrate is often the disruption cortico-subcortical pathways. It has been proposed that reestablishment communication relates to functional recovery. Objective. In this study, we applied a novel training protocol augment ipsilesional connectivity after stroke. Chronic patients with severe were provided online feedback blood-oxygenation level dependent signal between cortical and subcortical regions critical for function using real-time magnetic resonance imaging neurofeedback. Results. proof principle 3 out 4 learned voluntarily modulate as intended. Conclusions. Our results document first time feasibility safety chronic self-regulate through neurofeedback imaging.

Language: Английский

Citations

106

Efficacy of Invasive and Non-Invasive Brain Modulation Interventions for Addiction DOI Creative Commons
Judy Luigjes, Rebecca Segrave, Niels T. de Joode

et al.

Neuropsychology Review, Journal Year: 2018, Volume and Issue: 29(1), P. 116 - 138

Published: Dec. 7, 2018

It is important to find new treatments for addiction due high relapse rates despite current interventions and expansion of the field with non-substance related addictive behaviors. Neuromodulation may provide a type treatment since it can directly target abnormalities in neurocircuits. We review literature on five neuromodulation techniques investigated efficacy substance behavioral addictions: transcranial direct stimulation (tDCS), (repetitive) magnetic (rTMS), EEG, fMRI neurofeedback deep brain (DBS) additionally report effects these addiction-related cognitive processes. While rTMS tDCS, mostly applied at dorsolateral prefrontal cortex, show reductions immediate craving various substances, placebo-responses are long-term outcomes understudied. The lack well-designed EEG-neurofeedback studies decades investigation impedes conclusions about its efficacy. Studies investigating initial promising craving, but future trials needed investigate effects. Case prolonged abstinence opioids or alcohol ventral striatal DBS difficulties patient inclusion hinder larger, controlled trials. neuropsychiatric patients modulates circuits involved reward processing, extinction negative-reinforcement that also relevant addiction. To establish potential addiction, more randomized duration required synergy other interventions. Finally, advancement be expected from tailoring specific (neurocognitive) profiles.

Language: Английский

Citations

105

Real-Time Functional Connectivity-Informed Neurofeedback of Amygdala-Frontal Pathways Reduces Anxiety DOI
Zhiying Zhao, Shuxia Yao, Keshuang Li

et al.

Psychotherapy and Psychosomatics, Journal Year: 2019, Volume and Issue: 88(1), P. 5 - 15

Published: Jan. 1, 2019

<b><i>Background:</i></b> Deficient emotion regulation and exaggerated anxiety represent a major transdiagnostic psychopathological marker. On the neural level these deficits have been closely linked to impaired, yet treatment-sensitive, prefrontal regulatory control over amygdala. Gaining direct pathways could therefore provide an innovative promising intervention regulate anxiety. To this end current proof-of-concept study evaluated feasibility, functional relevance maintenance of novel connectivity-informed real-time fMRI neurofeedback training. <b><i>Methods:</i></b> In randomized crossover sham-controlled design, 26 healthy subjects with high underwent fMRI-guided training enhance connectivity between ventrolateral cortex (vlPFC) amygdala (target pathway) during threat exposure. Maintenance was assessed after 3 days in absence feedback. Training-induced changes target pathway ratings served as primary outcomes. <b><i>Results:</i></b> Training target, not sham control, significantly increased amygdala-vlPFC decreased levels Stronger increases were associated higher reduction on group level. At follow-up, volitional maintained <b><i>Conclusions:</i></b> The present results demonstrate for first time that successful self-regulation amygdala-prefrontal top-down circuits may As such, findings underscore both critical contribution therapeutic potential neurofeedback.

Language: Английский

Citations

94

A Roadmap for Integrating Neuroscience Into Addiction Treatment: A Consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine DOI Creative Commons
Antonio Verdejo‐García, Valentina Lorenzetti, Victoria Manning

et al.

Frontiers in Psychiatry, Journal Year: 2019, Volume and Issue: 10

Published: Dec. 23, 2019

Although there is general consensus that altered brain structure and function underpins addictive disorders, clinicians working in addiction treatment rarely incorporate neuroscience-informed approaches into their practice. We recently launched the Neuroscience Interest Group within International Society of Addiction Medicine (ISAM-NIG) to promote initiatives bridge this gap. This article summarises ISAM-NIG key priorities strategies achieve implementation neuroscience knowledge tools for assessment substance use disorders. cover two areas: cognitive neuroimaging, interventional training/remediation neuromodulation, where we identify challenges proposed solutions. reason incorporating clinical settings requires identification constructs predict meaningful outcomes. Other requirements are development measures easily-administered, reliable ecologically-valid. Translation neuroimaging techniques diagnostic prognostic biomarkers testing cost-effectiveness these individualised prediction algorithms relapse prevention selection. Integration assessments with can provide multilevel targets including neural, cognitive, behavioural outcomes interventions. Application interventions neuromodulation clear pathways design based on targets, additional evidence from randomised trials subsequent implementation, evaluation cost-effectiveness. propose address by promoting international collaboration between researchers clinicians, developing harmonised protocols data management systems, prioritising multi-site research focuses improving

Language: Английский

Citations

85

Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance DOI Creative Commons
Ayumu Yamashita,

Shunsuke Hayasaka,

Mitsuo Kawato

et al.

Cerebral Cortex, Journal Year: 2017, Volume and Issue: 27(10), P. 4960 - 4970

Published: June 22, 2017

Advances in functional magnetic resonance imaging have made it possible to provide real-time feedback on brain activity. Neurofeedback has been applied therapeutic interventions for psychiatric disorders. Since many studies shown that most disorders exhibit abnormal networks, a novel experimental paradigm named connectivity neurofeedback, which can directly modulate network, emerged as promising approach treat Here, we investigated the hypothesis neurofeedback induce aimed direction of change connectivity, and differential cognitive performance according connectivity. We selected between left primary motor cortex lateral parietal target. Subjects were divided into 2 groups, only (an increase or decrease correlation) experimentally manipulated differed groups. As result, subjects successfully induced expected changes either directions. Furthermore, significantly differentially changed from preneurofeedback postneurofeedback training These findings indicate also performance.

Language: Английский

Citations

77

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis DOI Creative Commons
Yury Koush, John Ashburner,

Evgeny Prilepin

et al.

NeuroImage, Journal Year: 2017, Volume and Issue: 156, P. 489 - 503

Published: June 21, 2017

Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity connectivity has demonstrated promising clinical applications. Because the rapid technical developments MRI techniques availability high-performance computing, new methodological advances in rt-fMRI neurofeedback become possible. Here we outline core components open-source framework, termed Open NeuroFeedback Training (OpenNFT), which efficiently integrates these developments. This framework implemented using Python Matlab source code to allow diverse functionality, high modularity, extendibility software depending user’s needs. In addition, it provides an easy interface functionality Statistical Parametric Mapping (SPM) that also one most widely used fMRI data analysis software. We demonstrate our by describing case studies include protocols levels, effective models, pattern classification approaches. initiative suitable actively engage development approaches, so local can be easily made accessible wider range users.

Language: Английский

Citations

74

Real-time fMRI neurofeedback training to improve eating behavior by self-regulation of the dorsolateral prefrontal cortex: A randomized controlled trial in overweight and obese subjects DOI
Simon H. Kohl, Ralf Veit, Maartje S. Spetter

et al.

NeuroImage, Journal Year: 2019, Volume and Issue: 191, P. 596 - 609

Published: Feb. 22, 2019

Language: Английский

Citations

72

Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting DOI Creative Commons
Gunther Meinlschmidt, Jong‐Hwan Lee, Esther Stalujanis

et al.

Frontiers in Psychology, Journal Year: 2016, Volume and Issue: 7

Published: July 28, 2016

Background: Using mobile communication technology as new personalized approach to treat mental disorders or more generally improve quality of life is highly promising. Knowledge about intervention components that target key psychopathological processes in terms transdiagnostic psychotherapy approaches urgently needed. We explored the use smartphone-based micro-interventions based on psychotherapeutic techniques, guided by short video-clips, elicit mood changes. Method: As part a larger neurofeedback study, all subjects – after being randomly assigned an experimental control condition underwent daily for 13 consecutive days. They were free choose out provided including viscerosensory attention, emotional imagery, facial expression, and contemplative repetition. Changes assessed real world using Multidimensional Mood State Questionnaire (scales: good–bad, GB; awake–tired, AT; calm–nervous, CN). Results: Twenty-seven men participated at least eleven days thus included analyses. Altogether, they 335, well-tolerated, micro-intervention sessions, with attention (178 53.13%) repetition (68 20.30%) most frequently applied techniques. Mixed models indicated showed better (GB: b=0.464, 95%confidence interval (CI) [0.068, 0.860], t(613.3)=2.298, p=0.022) became awake (AT: b=0.514, 95%CI [0.103, 0.925], t(612.4)=2.456, p=0.014) calmer (CN: b=0.685, [0.360, 1.010], t(612.3)=4.137, p<0.001) from pre- post-micro-intervention. These improvements post-micro-intervention associated changes first day until last regard GB (r=0.614, [0.297, 0.809], p<0.001), but not AT (r=0.279, [-0.122, 0.602], p=0.167) CN (r=0.277, [0.124, 0.601], p=0.170). Discussion: Our findings provide evidence applicability eliciting short-term changes, techniques used approaches, such mindfulness-based psychotherapy, transcendental meditation, other therapies. The results encourage exploring these techniques' capability randomized controlled studies patients. Smartphone-based are promising modify real-world settings, complementing interventions, line precision medicine approach. here presented data collected within trial, registered ClinicalTrials.gov (Identifier: NCT01921088) https://clinicaltrials.gov/ct2/show/NCT01921088.

Language: Английский

Citations

68

A network engineering perspective on probing and perturbing cognition with neurofeedback DOI Creative Commons
Danielle S. Bassett, Ankit N. Khambhati

Annals of the New York Academy of Sciences, Journal Year: 2017, Volume and Issue: 1396(1), P. 126 - 143

Published: April 26, 2017

Network science and engineering provide a flexible generalizable tool set to describe manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied social systems, these tools have recently proven be particularly useful in the study of brain. In this review, we nascent use understand human cognition, discuss their utility informing meaningful predictable perturbation cognition combination with emerging capabilities neurofeedback. To blend disparate strands research, build on conceptualizations how brain functions (as network) can develop target interventions or modulations form network control). We close an outline current frontiers that bridge neurofeedback, connectomics, control theory better cognition.

Language: Английский

Citations

64

A systematic review of fMRI neurofeedback reporting and effects in clinical populations DOI Creative Commons
Anita Tursic, Judith Eck, Michael Lührs

et al.

NeuroImage Clinical, Journal Year: 2020, Volume and Issue: 28, P. 102496 - 102496

Published: Jan. 1, 2020

Real-time fMRI-based neurofeedback is a relatively young field with potential to impact the currently available treatments of various disorders. In order evaluate evidence clinical benefits and investigate how consistently studies report their methods results, an exhaustive search fMRI in populations was performed. Reporting evaluated using limited number Consensus on reporting experimental design cognitive-behavioral (CRED-NF checklist) items, which was, together statistical power sensitivity calculation, used also existing measures. The 62 found investigated regulation abilities and/or wide range disorders, but small sample sizes were therefore unable detect effects. Most points from CRED-NF checklist adequately reported by majority studies, some improvements are suggested for group comparisons relations between success benefits. To establish as tool, more emphasis should be placed future larger determined through priori calculations standardization procedures reporting.

Language: Английский

Citations

64