BCI-based feedback system to promote cognitive control of craving

基于BCI的反馈系统促进对渴望的认知控制

• 批准号: 8792615
• 负责人: Muhammad Adeel Parvaz
• 金额: $ 5.51万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-21 至 2015-12-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8792615
• 关键词: Algorithms; Attention; Base of the Brain; Biomedical Engineering; Brain; Brain region; Classification; Clinical; Cocaine; Cocaine Dependence; Coupled; Cues; Data; Data Analyses; Detection; Disease; Dopamine; Drug Addiction; Drug Modulation; Drug usage; EP300 gene; Electroencephalogram; Emotional; Emotions; Engineering; Environment; Event-Related Potentials; Feedback; Frequencies; Goals; Hypersensitivity; Image; Impairment; Individual; Intervention; Laboratories; Measures; Mental Health; National Research Service Awards; Neurons; Neurosciences; Operant Conditioning; Outcome Measure; Patients; Pattern; Pharmaceutical Preparations; Placebos; Population; Positron-Emission Tomography; Psychophysiology; Reaction Time; Relapse; Reporting; Research; Research Proposals; Research Training; Rewards; Scientist; Self Administration; Self-control as a personality trait; Stimulus; Supervision; System; Techniques; Testing; Therapeutic Intervention; Time; Training; Treatment outcome; Work; auditory feedback; base; behavior influence; brain computer interface; clinically relevant; cocaine exposure; cocaine use; cognitive control; craving; cue reactivity; data acquisition; design; drug craving; experience; improved; individualized medicine; motivational processes; motor control; multidisciplinary; neurofeedback; non-drug; non-invasive system; novel; prevent; reinforcer; relating to nervous system; response; signal processing; success; treatment center; treatment program; visual feedback

DESCRIPTION (provided by applicant): At the core of drug addiction is impairment in the brain's reward system where hypersensitivity to drug- related stimuli comes at the expense of insufficient salience attributed to all other non-drug-related reinforcers. This hypersensitivity t drug-related stimuli renders individuals with cocaine use disorder (CUD) particularly vulnerable to craving (and drug use), especially when presented with drug-related cues. Nevertheless, when instructed to volitionally inhibit cue-induced craving in a laboratory environment, some CUD reported lower craving and showed decreased activity in the brain regions that process the motivational value of rewards including drug-related cues (orbitofrontal cortex), thereby retaining some level of control over their drug- related cue reactivity. We propose to capitalize on this willed control of craving, using electroencephalogram (EEG) and subsequently ascertained event-related potentials (ERP) techniques, coupled with a Brain- Computer Interface (BCI) based real-time feedback system, to help bolster such cognitive control in drug addiction. In the current proposal, we aim to test the hypothesis that, when asked to volitionally reappraise drug stimuli, CUD will be able to modulate functionally significant drug-cue-induced electrocortical markers. We also hypothesize that providing a real-time feedback (generated by a BCI platform with advanced signal processing algorithms) of one's own EEG/ERP neuronal markers of drug-cue reactivity will be associated with reduced drug-seeking and craving and enhanced inhibitory control in treatment-seeking CUD. Given that EEG- and ERP-based BCI systems are non-invasive, ambulatory and affordable, this proposal has important clinical implications. In particular, once tested and validated, this system could be implemented in treatment centers for reducing drug-cue reactivity/drug-seeking/craving and enhancing self-control. Because a BCI-based real- time feedback system incorporates each patient's own brain signature of illness, it could be used to design an individually tailored treatment program to prevent relapse. Thus, given my background in biomedical engineering and graduate research experience in EEG data acquisition, signal processing, data analysis and the support, expertise and extensive supervision of the sponsor and the co-sponsors, I believe I am at a unique juncture in undertaking this multidisciplinary and technologically cutting-edge research proposal. Therefore, obtaining NRSA support to integrate my course work, research experience with the proposed research training plan will help me develop as an independent scientist, with a niche in implementing engineering principles to advance clinical and interventional neuroscience.

描述（由申请人提供）：药物成瘾的核心是大脑奖励系统的损伤，其中对药物相关刺激的超敏反应是以其他非药物相关强化物的不显著性为代价的。这种对药物相关刺激的过度敏感使得可卡因使用障碍（CUD）患者特别容易受到渴望（和药物使用）的影响，尤其是在出现与药物相关的线索时。然而，当被指示在实验室环境中有意识地抑制线索诱导的渴望时，一些CUD报告了较低的渴望，并显示出处理奖励动机价值的大脑区域的活动减少，包括与药物相关的线索（眶额皮质），从而保持

项目成果

Cognitive interventions for addiction medicine: Understanding the underlying neurobiological mechanisms.

• DOI: 10.1016/bs.pbr.2015.07.019
• 发表时间: 2016
• 期刊: PROGRESS IN BRAIN RESEARCH
• 作者: Zilverstand, Anna;Parvaz, Muhammad A.;Moeller, Scott J.;Goldstein, Rita Z.
• 通讯作者: Goldstein, Rita Z.