Literature DB >> 31551595

Brain-machine interfaces from motor to mood.

Maryam M Shanechi1,2.   

Abstract

Brain-machine interfaces (BMIs) create closed-loop control systems that interact with the brain by recording and modulating neural activity and aim to restore lost function, most commonly motor function in paralyzed patients. Moreover, by precisely manipulating the elements within the control loop, motor BMIs have emerged as new scientific tools for investigating the neural mechanisms underlying control and learning. Beyond motor BMIs, recent work highlights the opportunity to develop closed-loop mood BMIs for restoring lost emotional function in neuropsychiatric disorders and for probing the neural mechanisms of emotion regulation. Here we review significant advances toward functional restoration and scientific discovery in motor BMIs that have been guided by a closed-loop control view. By focusing on this unifying view of BMIs and reviewing recent work, we then provide a perspective on how BMIs could extend to the neuropsychiatric domain.

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Year:  2019        PMID: 31551595     DOI: 10.1038/s41593-019-0488-y

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  96 in total

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Authors:  Krishna V Shenoy; Jose M Carmena
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Review 3.  Brain-machine interfaces beyond neuroprosthetics.

Authors:  Karen A Moxon; Guglielmo Foffani
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

4.  Mood variations decoded from multi-site intracranial human brain activity.

Authors:  Omid G Sani; Yuxiao Yang; Morgan B Lee; Heather E Dawes; Edward F Chang; Maryam M Shanechi
Journal:  Nat Biotechnol       Date:  2018-09-10       Impact factor: 54.908

Review 5.  Treating refractory mental illness with closed-loop brain stimulation: Progress towards a patient-specific transdiagnostic approach.

Authors:  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
Journal:  Exp Neurol       Date:  2016-07-30       Impact factor: 5.330

Review 6.  Parsing learning in networks using brain-machine interfaces.

Authors:  Amy L Orsborn; Bijan Pesaran
Journal:  Curr Opin Neurobiol       Date:  2017-08-24       Impact factor: 6.627

7.  Brain-Machine Interface Control Algorithms.

Authors:  Maryam M Shanechi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-12-14       Impact factor: 3.802

Review 8.  Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control.

Authors:  Matthew D Golub; Steven M Chase; Aaron P Batista; Byron M Yu
Journal:  Curr Opin Neurobiol       Date:  2016-01-19       Impact factor: 6.627

9.  A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation.

Authors:  Yuxiao Yang; Allison T Connolly; Maryam M Shanechi
Journal:  J Neural Eng       Date:  2018-09-17       Impact factor: 5.379

Review 10.  Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation.

Authors:  Kimberly B Hoang; Isaac R Cassar; Warren M Grill; Dennis A Turner
Journal:  Front Neurosci       Date:  2017-10-10       Impact factor: 4.677

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  17 in total

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Journal:  Nat Rev Neurosci       Date:  2022-05-16       Impact factor: 38.755

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4.  Fast and slow contributions to decision-making in corticostriatal circuits.

Authors:  Zuzanna Z Balewski; Eric B Knudsen; Joni D Wallis
Journal:  Neuron       Date:  2022-05-06       Impact factor: 18.688

5.  Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification.

Authors:  Omid G Sani; Hamidreza Abbaspourazad; Yan T Wong; Bijan Pesaran; Maryam M Shanechi
Journal:  Nat Neurosci       Date:  2020-11-09       Impact factor: 24.884

6.  Single-trial decoding of movement intentions using functional ultrasound neuroimaging.

Authors:  Sumner L Norman; David Maresca; Vassilios N Christopoulos; Whitney S Griggs; Charlie Demene; Mickael Tanter; Mikhail G Shapiro; Richard A Andersen
Journal:  Neuron       Date:  2021-03-22       Impact factor: 17.173

7.  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 8.  Multiregional communication and the channel modulation hypothesis.

Authors:  Bijan Pesaran; Maureen Hagan; Shaoyu Qiao; Ryan Shewcraft
Journal:  Curr Opin Neurobiol       Date:  2020-12-24       Impact factor: 6.627

9.  A prototype closed-loop brain-machine interface for the study and treatment of pain.

Authors:  Qiaosheng Zhang; Sile Hu; Robert Talay; Zhengdong Xiao; David Rosenberg; Yaling Liu; Guanghao Sun; Anna Li; Bassir Caravan; Amrita Singh; Jonathan D Gould; Zhe S Chen; Jing Wang
Journal:  Nat Biomed Eng       Date:  2021-06-21       Impact factor: 29.234

Review 10.  Improving scalability in systems neuroscience.

Authors:  Zhe Sage Chen; Bijan Pesaran
Journal:  Neuron       Date:  2021-04-07       Impact factor: 18.688

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