کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5629376 | 1406415 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Treating refractory mental illness with closed-loop brain stimulation: Progress towards a patient-specific transdiagnostic approach
ترجمه فارسی عنوان
درمان بیماری روحی مقاوم در برابر سرطان با تحرک مغز حلقه بسته: پیشرفت به سوی یک رویکرد روانشناختی تشخیصی بیمار
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کلمات کلیدی
DBSMVARPPIGADMDDECRpost-traumatic stress disorder - اختلال استرس پس از ضربهPTSD - اختلال استرسی پس از ضایعه روانیgeneralized anxiety disorder - اختلال اضطراب فراگیرMajor depressive disorder - اختلال افسردگی عمدهmood disorders - اختلال خلقیSubstance use disorder - اختلال سوء مصرف موادAnxiety disorders - اختلالات اضطرابیElectrophysiology - الکتروفیزیولوژیPsychiatric illness - بیماری روانپزشکیdeep brain stimulation - تحریک عمقی مغزPsychiatric diagnosis - تشخیص روانپزشکیFunctional imaging - تصویربرداری عملکردیSUD - جنوبیModeling - مدلسازیlocal field potential - پتانسیل منطقه ای
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
عصب شناسی
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Experimental Neurology - Volume 287, Part 4, January 2017, Pages 461-472
Journal: Experimental Neurology - Volume 287, Part 4, January 2017, Pages 461-472
نویسندگان
Alik S. Widge, Kristen K. Ellard, Angelique C. Paulk, Ishita Basu, Ali Yousefi, Samuel Zorowitz, Anna Gilmour, Afsana Afzal, Thilo Deckersbach, Sydney S. Cash, Mark A. Kramer, Uri T. Eden, Darin D. Dougherty, Emad N. Eskandar,