Literature DB >> 34706356

Decoding of cortex-wide brain activity from local recordings of neural potentials.

Xin Liu1, Chi Ren2,3,4, Zhisheng Huang1, Madison Wilson1, Jeong-Hoon Kim1, Yichen Lu1, Mehrdad Ramezani1, Takaki Komiyama2,3,4,5, Duygu Kuzum1,5.   

Abstract

Objective. Electrical recordings of neural activity from brain surface have been widely employed in basic neuroscience research and clinical practice for investigations of neural circuit functions, brain-computer interfaces, and treatments for neurological disorders. Traditionally, these surface potentials have been believed to mainly reflect local neural activity. It is not known how informative the locally recorded surface potentials are for the neural activities across multiple cortical regions.Approach. To investigate that, we perform simultaneous local electrical recording and wide-field calcium imaging in awake head-fixed mice. Using a recurrent neural network model, we try to decode the calcium fluorescence activity of multiple cortical regions from local electrical recordings.Main results. The mean activity of different cortical regions could be decoded from locally recorded surface potentials. Also, each frequency band of surface potentials differentially encodes activities from multiple cortical regions so that including all the frequency bands in the decoding model gives the highest decoding performance. Despite the close spacing between recording channels, surface potentials from different channels provide complementary information about the large-scale cortical activity and the decoding performance continues to improve as more channels are included. Finally, we demonstrate the successful decoding of whole dorsal cortex activity at pixel-level using locally recorded surface potentials.Significance. These results show that the locally recorded surface potentials indeed contain rich information of the large-scale neural activities, which could be further demixed to recover the neural activity across individual cortical regions. In the future, our cross-modality inference approach could be adapted to virtually reconstruct cortex-wide brain activity, greatly expanding the spatial reach of surface electrical recordings without increasing invasiveness. Furthermore, it could be used to facilitate imaging neural activity across the whole cortex in freely moving animals, without requirement of head-fixed microscopy configurations.
© 2021 IOP Publishing Ltd.

Entities:  

Keywords:  electrophysiology; large-scale brain activity; neural decoding; neural network; wide-field imaging

Mesh:

Year:  2021        PMID: 34706356      PMCID: PMC8643174          DOI: 10.1088/1741-2552/ac33e7

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  32 in total

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Authors:  Yichen Lu; Xin Liu; Ryoma Hattori; Chi Ren; Xingwang Zhang; Takaki Komiyama; Duygu Kuzum
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2.  Characterizing Cortex-Wide Dynamics with Wide-Field Calcium Imaging.

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Journal:  J Neurosci       Date:  2021-04-23       Impact factor: 6.167

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Authors:  Jessica A Cardin; Marie Carlén; Konstantinos Meletis; Ulf Knoblich; Feng Zhang; Karl Deisseroth; Li-Huei Tsai; Christopher I Moore
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Journal:  Neuron       Date:  2018-02-01       Impact factor: 17.173

6.  Neural correlates of high-gamma oscillations (60-200 Hz) in macaque local field potentials and their potential implications in electrocorticography.

Authors:  Supratim Ray; Nathan E Crone; Ernst Niebur; Piotr J Franaszczuk; Steven S Hsiao
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7.  Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas.

Authors:  Cynthia A Chestek; Vikash Gilja; Christine H Blabe; Brett L Foster; Krishna V Shenoy; Josef Parvizi; Jaimie M Henderson
Journal:  J Neural Eng       Date:  2013-01-31       Impact factor: 5.379

8.  Rotating waves during human sleep spindles organize global patterns of activity that repeat precisely through the night.

Authors:  Lyle Muller; Giovanni Piantoni; Dominik Koller; Sydney S Cash; Eric Halgren; Terrence J Sejnowski
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9.  Deep 2-photon imaging and artifact-free optogenetics through transparent graphene microelectrode arrays.

Authors:  Martin Thunemann; Yichen Lu; Xin Liu; Kıvılcım Kılıç; Michèle Desjardins; Matthieu Vandenberghe; Sanaz Sadegh; Payam A Saisan; Qun Cheng; Kimberly L Weldy; Hongming Lyu; Srdjan Djurovic; Ole A Andreassen; Anders M Dale; Anna Devor; Duygu Kuzum
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10.  A Compact Closed-Loop Optogenetics System Based on Artifact-Free Transparent Graphene Electrodes.

Authors:  Xin Liu; Yichen Lu; Ege Iseri; Yuhan Shi; Duygu Kuzum
Journal:  Front Neurosci       Date:  2018-03-06       Impact factor: 4.677

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