Literature DB >> 28523978

Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness.

Meng-Chen Lo1, Alik S Widge1.   

Abstract

Despite deep brain stimulation's positive early results in psychiatric disorders, well-designed clinical trials have yielded inconsistent clinical outcomes. One path to more reliable benefit is closed-loop therapy: stimulation that is automatically adjusted by a device or algorithm in response to changes in the patient's electrical brain activity. These interventions may provide more precise and patient-specific treatments. This article first introduces the available closed-loop neuromodulation platforms, which have shown clinical efficacy in epilepsy and strong early results in movement disorders. It discusses the strengths and limitations of these devices in the context of psychiatric illness. It then describes emerging technologies to address these limitations, including pre-clinical developments such as wireless deep neurostimulation and genetically targeted neuromodulation. Finally, ongoing challenges and limitations for closed-loop psychiatric brain stimulation development, most notably the difficulty of identifying meaningful biomarkers for titration, are discussed. This is considered in the recently-released Research Domain Criteria (RDoC) framework, and how neuromodulation and RDoC are jointly very well suited to address the problem of treatment-resistant illness is described.

Entities:  

Keywords:  Deep brain stimulation; bioengineering; biomarker; electrophysiology; neuromodulation; transdiagnostic

Mesh:

Year:  2017        PMID: 28523978      PMCID: PMC5461950          DOI: 10.1080/09540261.2017.1282438

Source DB:  PubMed          Journal:  Int Rev Psychiatry        ISSN: 0954-0261


  84 in total

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  22 in total

1.  Behavioral validation of a wireless low-power neurostimulation technology in a conditioned place preference task.

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Journal:  J Neural Eng       Date:  2019-01-08       Impact factor: 5.379

Review 2.  Deep Brain Stimulation in Psychiatry: Mechanisms, Models, and Next-Generation Therapies.

Authors:  Mustafa Taha Bilge; Aishwarya K Gosai; Alik S Widge
Journal:  Psychiatr Clin North Am       Date:  2018-07-09

3.  Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis.

Authors:  Alik S Widge; M Taha Bilge; Rebecca Montana; Weilynn Chang; Carolyn I Rodriguez; Thilo Deckersbach; Linda L Carpenter; Ned H Kalin; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2018-10-03       Impact factor: 18.112

4.  Biomarkers for closed-loop deep brain stimulation in Parkinson disease and beyond.

Authors:  Walid Bouthour; Pierre Mégevand; John Donoghue; Christian Lüscher; Niels Birbaumer; Paul Krack
Journal:  Nat Rev Neurol       Date:  2019-06       Impact factor: 42.937

Review 5.  Precision electronic medicine in the brain.

Authors:  Shaun R Patel; Charles M Lieber
Journal:  Nat Biotechnol       Date:  2019-09-02       Impact factor: 54.908

6.  Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation.

Authors:  Yuxiao Yang; Shaoyu Qiao; Omid G Sani; J Isaac Sedillo; Breonna Ferrentino; Bijan Pesaran; Maryam M Shanechi
Journal:  Nat Biomed Eng       Date:  2021-02-01       Impact factor: 25.671

Review 7.  Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection.

Authors:  Bingzhao Zhu; Uisub Shin; Mahsa Shoaran
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2021-12-09       Impact factor: 3.833

Review 8.  Wireless and battery-free technologies for neuroengineering.

Authors:  Sang Min Won; Le Cai; Philipp Gutruf; John A Rogers
Journal:  Nat Biomed Eng       Date:  2021-03-08       Impact factor: 29.234

9.  Paired Electrical Pulse Trains for Controlling Connectivity in Emotion-Related Brain Circuitry.

Authors:  Meng-Chen Lo; Rebecca Younk; Alik S Widge
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-01-28       Impact factor: 3.802

Review 10.  Biomarkers for Deep Brain Stimulation in Animal Models of Depression.

Authors:  Jason Yuen; Aaron E Rusheen; Joshua Blair Price; Abhijeet S Barath; Hojin Shin; Abbas Z Kouzani; Michael Berk; Charles D Blaha; Kendall H Lee; Yoonbae Oh
Journal:  Neuromodulation       Date:  2021-06-09
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