Literature DB >> 32266609

An optical brain-to-brain interface supports rapid information transmission for precise locomotion control.

Lihui Lu1,2,3, Ruiyu Wang3,4,5, Minmin Luo6,7,8,9,10.   

Abstract

Brain-to-brain interfaces (BtBIs) hold exciting potentials for direct communication between individual brains. However, technical challenges often limit their performance in rapid information transfer. Here, we demonstrate an optical brain-to-brain interface that transmits information regarding locomotor speed from one mouse to another and allows precise, real-time control of locomotion across animals with high information transfer rate. We found that the activity of the genetically identified neuromedin B (NMB) neurons within the nucleus incertus (NI) precisely predicts and critically controls locomotor speed. By optically recording Ca2+ signals from the NI of a "Master" mouse and converting them to patterned optogenetic stimulations of the NI of an "Avatar" mouse, the BtBI directed the Avatar mice to closely mimic the locomotion of their Masters with information transfer rate about two orders of magnitude higher than previous BtBIs. These results thus provide proof-of-concept that optical BtBIs can rapidly transmit neural information and control dynamic behaviors across individuals.

Entities:  

Keywords:  brain-to-brain interface; fiber photometry; locomotion; nucleus incertus; optogenetics; support vector machine (SVM) classifier

Mesh:

Substances:

Year:  2020        PMID: 32266609     DOI: 10.1007/s11427-020-1675-x

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  35 in total

1.  Millisecond-timescale, genetically targeted optical control of neural activity.

Authors:  Edward S Boyden; Feng Zhang; Ernst Bamberg; Georg Nagel; Karl Deisseroth
Journal:  Nat Neurosci       Date:  2005-08-14       Impact factor: 24.884

2.  Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.

Authors:  Xiaogang Chen; Bing Zhao; Yijun Wang; Xiaorong Gao
Journal:  J Neural Eng       Date:  2018-12-03       Impact factor: 5.379

Review 3.  Brain-computer interfaces for communication and rehabilitation.

Authors:  Ujwal Chaudhary; Niels Birbaumer; Ander Ramos-Murguialday
Journal:  Nat Rev Neurol       Date:  2016-08-19       Impact factor: 42.937

4.  Brain communication in the locked-in state.

Authors:  Daniele De Massari; Carolin A Ruf; Adrian Furdea; Tamara Matuz; Linda van der Heiden; Sebastian Halder; Stefano Silvoni; Niels Birbaumer
Journal:  Brain       Date:  2013-04-26       Impact factor: 13.501

5.  Multi-channel fiber photometry for population neuronal activity recording.

Authors:  Qingchun Guo; Jingfeng Zhou; Qiru Feng; Rui Lin; Hui Gong; Qingming Luo; Shaoqun Zeng; Minmin Luo; Ling Fu
Journal:  Biomed Opt Express       Date:  2015-09-10       Impact factor: 3.732

6.  A novel system of SSVEP-based human-robot coordination.

Authors:  Xu Han; Ke Lin; Shangkai Gao; Xiaorong Gao
Journal:  J Neural Eng       Date:  2018-09-17       Impact factor: 5.379

7.  GABAergic neurons of the medial septum lead the hippocampal network during theta activity.

Authors:  Balázs Hangya; Zsolt Borhegyi; Nóra Szilágyi; Tamás F Freund; Viktor Varga
Journal:  J Neurosci       Date:  2009-06-24       Impact factor: 6.167

8.  Donor/recipient enhancement of memory in rat hippocampus.

Authors:  Sam A Deadwyler; Theodore W Berger; Andrew J Sweatt; Dong Song; Rosa H M Chan; Ioan Opris; Greg A Gerhardt; Vasilis Z Marmarelis; Robert E Hampson
Journal:  Front Syst Neurosci       Date:  2013-12-26

9.  What will this do to me and my brain? Ethical issues in brain-to-brain interfacing.

Authors:  Elisabeth Hildt
Journal:  Front Syst Neurosci       Date:  2015-02-25

10.  Multi-Person Brain-To-Brain Interfaces: Ethical Issues.

Authors:  Elisabeth Hildt
Journal:  Front Neurosci       Date:  2019-11-05       Impact factor: 4.677

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  3 in total

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Journal:  Sci China Life Sci       Date:  2022-05-12       Impact factor: 10.372

2.  Identified GNGT1 and NMU as Combined Diagnosis Biomarker of Non-Small-Cell Lung Cancer Utilizing Bioinformatics and Logistic Regression.

Authors:  Jia-Jia Zhang; Jiang Hong; Yu-Shui Ma; Yi Shi; Dan-Dan Zhang; Xiao-Li Yang; Cheng-You Jia; Yu-Zhen Yin; Geng-Xi Jiang; Da Fu; Fei Yu
Journal:  Dis Markers       Date:  2021-01-06       Impact factor: 3.434

3.  Colocalized, bidirectional optogenetic modulations in freely behaving mice with a wireless dual-color optoelectronic probe.

Authors:  Lizhu Li; Lihui Lu; Yuqi Ren; Guo Tang; Yu Zhao; Xue Cai; Zhao Shi; He Ding; Changbo Liu; Dali Cheng; Yang Xie; Huachun Wang; Xin Fu; Lan Yin; Minmin Luo; Xing Sheng
Journal:  Nat Commun       Date:  2022-02-11       Impact factor: 14.919

  3 in total

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