Treating refractory mental illness with closed-loop brain stimulation: Progress towards a patient-specific transdiagnostic approach

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• 作者：Alik S. Widge^a ; ^b ; ^{awidge@partners.org} ; Kristen K. Ellard^a ; Angelique C. Paulk^c ; Ishita Basu^c ; Ali Yousefi^c ; Samuel Zorowitz^a ; Anna Gilmour^a ; Afsana Afzal^a ; Thilo Deckersbach^a ; Sydney S. Cash^d ; Mark A. Kramer^e ; Uri T. Eden^e ; Darin D. Dougherty^a ; ¹ ; Emad N. Eskandar^c ; ¹
• 关键词：DBS ; deep brain stimulation ; ECR ; Emotional Conflict Resolution ; GAD ; generalized anxiety disorder ; gMVR ; generalized multivariate autoregressive ; MDD ; major depressive disorder ; MVAR ; multivariate auto-regressive modeling ; PPI ; psychophysical interaction analysis ; PTSD ; post-traumatic stress disorder ; SUD ; substance use disorder
• 刊名：Experimental Neurology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：287
• 期：part_P4
• 页码：461-472
• 全文大小：2111 K
• 卷排序：287

文摘

Mental disorders are a leading cause of disability, morbidity, and mortality among civilian and military populations. Most available treatments have limited efficacy, particularly in disorders where symptoms vary over relatively short time scales. Targeted modulation of neural circuits, particularly through open-loop deep brain stimulation (DBS), showed initial promise but has failed in blinded clinical trials. We propose a new approach, based on targeting neural circuits linked to functional domains that cut across diagnoses. Through that framework, which includes measurement of patients using six psychophysical tasks, we seek to develop a closed-loop DBS system that corrects dysfunctional activity in brain circuits underlying those domains. We present convergent preliminary evidence from functional neuroimaging, invasive human electrophysiology, and human brain stimulation experiments suggesting that this approach is feasible. Using the Emotional Conflict Resolution (ECR) task as an example, we show that emotion-related networks can be identified and modulated in individual patients. Invasive and non-invasive methodologies both identify a network between prefrontal cortex, cingulate cortex, insula, and amygdala. Further, stimulation in cingulate and amygdala changes patients' performance in ways that are linked to the task's emotional content. We present preliminary statistical models that predict this change and allow us to track it at a single-trial level. As these diagnostic and modeling strategies are refined and embodied in an implantable device, they offer the prospect of a new approach to psychiatric treatment and its accompanying neuroscience.