Mapping cognitive brain functions at scale

A fundamental set of cognitive abilities enable humans to efficiently process goal-relevant information, suppress irrelevant distractions, maintain information in working memory, and act flexibly in different behavioral contexts. Yet, studies of human cognition and their underlying neural mechanisms...

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Main Authors: Pragathi Priyadharsini Balasubramani, Alejandro Ojeda, Gillian Grennan, Vojislav Maric, Hortense Le, Fahad Alim, Mariam Zafar-Khan, Juan Diaz-Delgado, Sarita Silveira, Dhakshin Ramanathan, Jyoti Mishra
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920311265
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author Pragathi Priyadharsini Balasubramani
Alejandro Ojeda
Gillian Grennan
Vojislav Maric
Hortense Le
Fahad Alim
Mariam Zafar-Khan
Juan Diaz-Delgado
Sarita Silveira
Dhakshin Ramanathan
Jyoti Mishra
spellingShingle Pragathi Priyadharsini Balasubramani
Alejandro Ojeda
Gillian Grennan
Vojislav Maric
Hortense Le
Fahad Alim
Mariam Zafar-Khan
Juan Diaz-Delgado
Sarita Silveira
Dhakshin Ramanathan
Jyoti Mishra
Mapping cognitive brain functions at scale
NeuroImage
author_facet Pragathi Priyadharsini Balasubramani
Alejandro Ojeda
Gillian Grennan
Vojislav Maric
Hortense Le
Fahad Alim
Mariam Zafar-Khan
Juan Diaz-Delgado
Sarita Silveira
Dhakshin Ramanathan
Jyoti Mishra
author_sort Pragathi Priyadharsini Balasubramani
title Mapping cognitive brain functions at scale
title_short Mapping cognitive brain functions at scale
title_full Mapping cognitive brain functions at scale
title_fullStr Mapping cognitive brain functions at scale
title_full_unstemmed Mapping cognitive brain functions at scale
title_sort mapping cognitive brain functions at scale
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2021-05-01
description A fundamental set of cognitive abilities enable humans to efficiently process goal-relevant information, suppress irrelevant distractions, maintain information in working memory, and act flexibly in different behavioral contexts. Yet, studies of human cognition and their underlying neural mechanisms usually evaluate these cognitive constructs in silos, instead of comprehensively in-tandem within the same individual. Here, we developed a scalable, mobile platform, “BrainE” (short for Brain Engagement), to rapidly assay several essential aspects of cognition simultaneous with wireless electroencephalography (EEG) recordings. Using BrainE, we rapidly assessed five aspects of cognition including (1) selective attention, (2) response inhibition, (3) working memory, (4) flanker interference and (5) emotion interference processing, in 102 healthy young adults. We evaluated stimulus encoding in all tasks using the EEG neural recordings, and isolated the cortical sources of the spectrotemporal EEG dynamics. Additionally, we used BrainE in a two-visit study in 24 young adults to investigate the reliability of the neuro-cognitive data as well as its plasticity to transcranial magnetic stimulation (TMS). We found that stimulus encoding on multiple cognitive tasks could be rapidly assessed, identifying common as well as distinct task processes in both sensory and cognitive control brain regions. Event related synchronization (ERS) in the theta (3-7 Hz) and alpha (8-12 Hz) frequencies as well as event related desynchronization (ERD) in the beta frequencies (13-30 Hz) were distinctly observed in each task. The observed ERS/ERD effects were overall anticorrelated. The two-visit study confirmed high test-retest reliability for both cognitive and neural data, and neural responses showed specific TMS protocol driven modulation. We also show that the global cognitive neural responses are sensitive to mental health symptom self-reports. This first study with the BrainE platform showcases its utility in studying neuro-cognitive dynamics in a rapid and scalable fashion.
url http://www.sciencedirect.com/science/article/pii/S1053811920311265
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spelling doaj-1811ad5034b84d769b14923490da8f492021-05-22T04:35:32ZengElsevierNeuroImage1095-95722021-05-01231117641Mapping cognitive brain functions at scalePragathi Priyadharsini Balasubramani0Alejandro Ojeda1Gillian Grennan2Vojislav Maric3Hortense Le4Fahad Alim5Mariam Zafar-Khan6Juan Diaz-Delgado7Sarita Silveira8Dhakshin Ramanathan9Jyoti Mishra10Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Corresponding authors at: University of California, San Diego, Neural Engineering & Translation Labs (NEAT Labs), 9500 Gilman Drive Mail Code 0875, La Jolla, CA 92037, USA.Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Department of Mental Health, VA San Diego Medical Center, San Diego, CANeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Corresponding authors at: University of California, San Diego, Neural Engineering & Translation Labs (NEAT Labs), 9500 Gilman Drive Mail Code 0875, La Jolla, CA 92037, USA.A fundamental set of cognitive abilities enable humans to efficiently process goal-relevant information, suppress irrelevant distractions, maintain information in working memory, and act flexibly in different behavioral contexts. Yet, studies of human cognition and their underlying neural mechanisms usually evaluate these cognitive constructs in silos, instead of comprehensively in-tandem within the same individual. Here, we developed a scalable, mobile platform, “BrainE” (short for Brain Engagement), to rapidly assay several essential aspects of cognition simultaneous with wireless electroencephalography (EEG) recordings. Using BrainE, we rapidly assessed five aspects of cognition including (1) selective attention, (2) response inhibition, (3) working memory, (4) flanker interference and (5) emotion interference processing, in 102 healthy young adults. We evaluated stimulus encoding in all tasks using the EEG neural recordings, and isolated the cortical sources of the spectrotemporal EEG dynamics. Additionally, we used BrainE in a two-visit study in 24 young adults to investigate the reliability of the neuro-cognitive data as well as its plasticity to transcranial magnetic stimulation (TMS). We found that stimulus encoding on multiple cognitive tasks could be rapidly assessed, identifying common as well as distinct task processes in both sensory and cognitive control brain regions. Event related synchronization (ERS) in the theta (3-7 Hz) and alpha (8-12 Hz) frequencies as well as event related desynchronization (ERD) in the beta frequencies (13-30 Hz) were distinctly observed in each task. The observed ERS/ERD effects were overall anticorrelated. The two-visit study confirmed high test-retest reliability for both cognitive and neural data, and neural responses showed specific TMS protocol driven modulation. We also show that the global cognitive neural responses are sensitive to mental health symptom self-reports. This first study with the BrainE platform showcases its utility in studying neuro-cognitive dynamics in a rapid and scalable fashion.http://www.sciencedirect.com/science/article/pii/S1053811920311265