date: 2021-03-05T07:25:21Z pdf:PDFVersion: 1.4 pdf:docinfo:title: Neurofeedback Training versus Treatment-as-Usual for Alcohol Dependence: Results of an Early-Phase Randomized Controlled Trial and Neuroimaging Correlates xmp:CreatorTool: Adobe InDesign 16.0 (Windows) access_permission:can_print_degraded: true subject: Introduction: Alcohol dependence is one of the most common substance use disorders, and novel treatment options are urgently needed. Neurofeedback training (NFT) based on real-time functional magnetic resonance imaging (rtf­MRI) has emerged as an attractive candidate for add-on treatments in psychiatry, but its use in alcohol dependence has not been formally investigated in a clinical trial. We investigated the use of rtfMRI-based NFT to prevent relapse in alcohol dependence. Methods: Fifty-two alcohol-dependent patients from the UK who had completed a detoxification program were randomly assigned to a treatment group (receiving rtfMRI NFT in addition to standard care) or the control group (receiving standard care only). At baseline, alcohol consumption was assessed as the primary outcome measure and a variety of psychological, behavioral, and neural parameters as secondary outcome measures to determine feasibility and secondary training effects. Participants in the treatment group underwent 6 NFT sessions over 4 months and were trained to downregulate their brain activation in the salience network in the presence of alcohol stimuli and to upregulate frontal activation in response to pictures related to positive goals. Four, 8, and 12 months after baseline assessment, both groups were followed up with a battery of clinical and psychometric tests. Results: Primary outcome measures showed very low relapse rates for both groups. Analysis of neural secondary outcome measures indicated that the majority of patients modulated the salience system in the desired directions, by decreasing activity in response to alcohol stimuli and increasing activation in response to positive goals. The intervention had a good safety and acceptability profile. Conclusion: We demonstrated that rtfMRI-neurofeedback targeting hyperactivity of the salience network in response to alcohol cues is feasible in currently abstinent patients with alcohol dependence. language: de-DE dc:format: application/pdf; version=1.4 pdf:docinfo:creator_tool: Adobe InDesign 16.0 (Windows) access_permission:fill_in_form: true pdf:encrypted: false dc:title: Neurofeedback Training versus Treatment-as-Usual for Alcohol Dependence: Results of an Early-Phase Randomized Controlled Trial and Neuroimaging Correlates modified: 2021-03-05T07:25:21Z cp:subject: Introduction: Alcohol dependence is one of the most common substance use disorders, and novel treatment options are urgently needed. Neurofeedback training (NFT) based on real-time functional magnetic resonance imaging (rtf­MRI) has emerged as an attractive candidate for add-on treatments in psychiatry, but its use in alcohol dependence has not been formally investigated in a clinical trial. We investigated the use of rtfMRI-based NFT to prevent relapse in alcohol dependence. Methods: Fifty-two alcohol-dependent patients from the UK who had completed a detoxification program were randomly assigned to a treatment group (receiving rtfMRI NFT in addition to standard care) or the control group (receiving standard care only). At baseline, alcohol consumption was assessed as the primary outcome measure and a variety of psychological, behavioral, and neural parameters as secondary outcome measures to determine feasibility and secondary training effects. Participants in the treatment group underwent 6 NFT sessions over 4 months and were trained to downregulate their brain activation in the salience network in the presence of alcohol stimuli and to upregulate frontal activation in response to pictures related to positive goals. Four, 8, and 12 months after baseline assessment, both groups were followed up with a battery of clinical and psychometric tests. Results: Primary outcome measures showed very low relapse rates for both groups. Analysis of neural secondary outcome measures indicated that the majority of patients modulated the salience system in the desired directions, by decreasing activity in response to alcohol stimuli and increasing activation in response to positive goals. The intervention had a good safety and acceptability profile. Conclusion: We demonstrated that rtfMRI-neurofeedback targeting hyperactivity of the salience network in response to alcohol cues is feasible in currently abstinent patients with alcohol dependence. pdf:docinfo:subject: Introduction: Alcohol dependence is one of the most common substance use disorders, and novel treatment options are urgently needed. Neurofeedback training (NFT) based on real-time functional magnetic resonance imaging (rtf­MRI) has emerged as an attractive candidate for add-on treatments in psychiatry, but its use in alcohol dependence has not been formally investigated in a clinical trial. We investigated the use of rtfMRI-based NFT to prevent relapse in alcohol dependence. Methods: Fifty-two alcohol-dependent patients from the UK who had completed a detoxification program were randomly assigned to a treatment group (receiving rtfMRI NFT in addition to standard care) or the control group (receiving standard care only). At baseline, alcohol consumption was assessed as the primary outcome measure and a variety of psychological, behavioral, and neural parameters as secondary outcome measures to determine feasibility and secondary training effects. Participants in the treatment group underwent 6 NFT sessions over 4 months and were trained to downregulate their brain activation in the salience network in the presence of alcohol stimuli and to upregulate frontal activation in response to pictures related to positive goals. Four, 8, and 12 months after baseline assessment, both groups were followed up with a battery of clinical and psychometric tests. Results: Primary outcome measures showed very low relapse rates for both groups. Analysis of neural secondary outcome measures indicated that the majority of patients modulated the salience system in the desired directions, by decreasing activity in response to alcohol stimuli and increasing activation in response to positive goals. The intervention had a good safety and acceptability profile. Conclusion: We demonstrated that rtfMRI-neurofeedback targeting hyperactivity of the salience network in response to alcohol cues is feasible in currently abstinent patients with alcohol dependence. pdf:docinfo:creator: Subramanian L.; Skottnik L.; Cox W.M.; Lührs M.; McNamara R.; Hood K.; Watson G.; Whittaker J.R.; Williams A.N.; Sakhuja R.; Ihssen N.; Goebel R.; Playle R.; Linden D.E.J. meta:author: Subramanian L.; Skottnik L.; Cox W.M.; Lührs M.; McNamara R.; Hood K.; Watson G.; Whittaker J.R.; Williams A.N.; Sakhuja R.; Ihssen N.; Goebel R.; Playle R.; Linden D.E.J. trapped: False meta:creation-date: 2021-03-05T07:25:20Z created: 2021-03-05T07:25:20Z access_permission:extract_for_accessibility: true Creation-Date: 2021-03-05T07:25:20Z xmpMM:DerivedFrom:DocumentID: xmp.did:a84d6fef-dca2-1140-a4ec-1459304ff640 Author: Subramanian L.; Skottnik L.; Cox W.M.; Lührs M.; McNamara R.; Hood K.; Watson G.; Whittaker J.R.; Williams A.N.; Sakhuja R.; Ihssen N.; Goebel R.; Playle R.; Linden D.E.J. producer: Adobe PDF Library 15.0 pdf:docinfo:producer: Adobe PDF Library 15.0 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Introduction: Alcohol dependence is one of the most common substance use disorders, and novel treatment options are urgently needed. Neurofeedback training (NFT) based on real-time functional magnetic resonance imaging (rtf­MRI) has emerged as an attractive candidate for add-on treatments in psychiatry, but its use in alcohol dependence has not been formally investigated in a clinical trial. We investigated the use of rtfMRI-based NFT to prevent relapse in alcohol dependence. Methods: Fifty-two alcohol-dependent patients from the UK who had completed a detoxification program were randomly assigned to a treatment group (receiving rtfMRI NFT in addition to standard care) or the control group (receiving standard care only). At baseline, alcohol consumption was assessed as the primary outcome measure and a variety of psychological, behavioral, and neural parameters as secondary outcome measures to determine feasibility and secondary training effects. Participants in the treatment group underwent 6 NFT sessions over 4 months and were trained to downregulate their brain activation in the salience network in the presence of alcohol stimuli and to upregulate frontal activation in response to pictures related to positive goals. Four, 8, and 12 months after baseline assessment, both groups were followed up with a battery of clinical and psychometric tests. Results: Primary outcome measures showed very low relapse rates for both groups. Analysis of neural secondary outcome measures indicated that the majority of patients modulated the salience system in the desired directions, by decreasing activity in response to alcohol stimuli and increasing activation in response to positive goals. The intervention had a good safety and acceptability profile. Conclusion: We demonstrated that rtfMRI-neurofeedback targeting hyperactivity of the salience network in response to alcohol cues is feasible in currently abstinent patients with alcohol dependence. access_permission:modify_annotations: true dc:creator: Subramanian L.; Skottnik L.; Cox W.M.; Lührs M.; McNamara R.; Hood K.; Watson G.; Whittaker J.R.; Williams A.N.; Sakhuja R.; Ihssen N.; Goebel R.; Playle R.; Linden D.E.J. description: Introduction: Alcohol dependence is one of the most common substance use disorders, and novel treatment options are urgently needed. Neurofeedback training (NFT) based on real-time functional magnetic resonance imaging (rtf­MRI) has emerged as an attractive candidate for add-on treatments in psychiatry, but its use in alcohol dependence has not been formally investigated in a clinical trial. We investigated the use of rtfMRI-based NFT to prevent relapse in alcohol dependence. Methods: Fifty-two alcohol-dependent patients from the UK who had completed a detoxification program were randomly assigned to a treatment group (receiving rtfMRI NFT in addition to standard care) or the control group (receiving standard care only). At baseline, alcohol consumption was assessed as the primary outcome measure and a variety of psychological, behavioral, and neural parameters as secondary outcome measures to determine feasibility and secondary training effects. Participants in the treatment group underwent 6 NFT sessions over 4 months and were trained to downregulate their brain activation in the salience network in the presence of alcohol stimuli and to upregulate frontal activation in response to pictures related to positive goals. Four, 8, and 12 months after baseline assessment, both groups were followed up with a battery of clinical and psychometric tests. Results: Primary outcome measures showed very low relapse rates for both groups. Analysis of neural secondary outcome measures indicated that the majority of patients modulated the salience system in the desired directions, by decreasing activity in response to alcohol stimuli and increasing activation in response to positive goals. The intervention had a good safety and acceptability profile. Conclusion: We demonstrated that rtfMRI-neurofeedback targeting hyperactivity of the salience network in response to alcohol cues is feasible in currently abstinent patients with alcohol dependence. dcterms:created: 2021-03-05T07:25:20Z Last-Modified: 2021-03-05T07:25:21Z dcterms:modified: 2021-03-05T07:25:21Z title: Neurofeedback Training versus Treatment-as-Usual for Alcohol Dependence: Results of an Early-Phase Randomized Controlled Trial and Neuroimaging Correlates xmpMM:DocumentID: xmp.id:fee170fe-3b53-8241-866b-b61ec2d8d2be Last-Save-Date: 2021-03-05T07:25:21Z pdf:docinfo:modified: 2021-03-05T07:25:21Z meta:save-date: 2021-03-05T07:25:21Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Subramanian L.; Skottnik L.; Cox W.M.; Lührs M.; McNamara R.; Hood K.; Watson G.; Whittaker J.R.; Williams A.N.; Sakhuja R.; Ihssen N.; Goebel R.; Playle R.; Linden D.E.J. dc:language: de-DE access_permission:assemble_document: true xmpTPg:NPages: 14 pdf:charsPerPage: 3624 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False xmpMM:DerivedFrom:InstanceID: xmp.iid:d78d6e7f-1c9d-704f-9550-8096ef5aeb7a access_permission:can_modify: true pdf:docinfo:created: 2021-03-05T07:25:20Z