- 专利标题: SYSTEM TO IDENTIFY TRANSITIONS IN BRAIN STATES FROM ELECTROPHYSIOLOGICAL MARKERS IN DBS FOR DEPRESSION
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申请号: US18213070申请日: 2023-06-22
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公开(公告)号: US20240170146A1公开(公告)日: 2024-05-23
- 发明人: Sankaraleengam Alagapan , Christopher Rozell , Helen Mayberg , Vineet Tiruvadi , Allison Waters , Patricio Riva-Posse , Stephen Heisig , Robert Butera , Ki Sueng Choi , Andrea Crowell
- 申请人: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI , GEORGIA TECH RESEARCH CORPORATIONS , EMORY UNIVERSITY
- 申请人地址: US NY New York
- 专利权人: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI,GEORGIA TECH RESEARCH CORPORATIONS,EMORY UNIVERSITY
- 当前专利权人: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI,GEORGIA TECH RESEARCH CORPORATIONS,EMORY UNIVERSITY
- 当前专利权人地址: US NY New York
- 主分类号: G16H50/20
- IPC分类号: G16H50/20 ; G16H10/60 ; G16H50/50
摘要:
Methods and systems are described for providing deep brain stimulation (DBS) of the subcallosal cingulate region (SCC) to provide symptom relief in patients with treatment-resistant depression (TRD). The DBS devices may enable chronic electrophysiology recording to deliver SCC DBS therapy. One or more machine-learning models may identify SCC LFP changes that indicate the patient's current clinical state. The clinical state is distinct from acute transient stimulation effects, is sensitive to DBS stimulation adjustments, and accurately captures individual differences in recovery trajectory.
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