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  5. Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions
 
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Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions

Author(s)
Gherman, Sabina  
Markowitz, Noah  
Tostaeva, Gelana  
Kelly, Simon P.  
et al.  
Uri
http://hdl.handle.net/10197/29139
Date Issued
2024-02-16
Date Available
2025-10-07T09:37:51Z
Abstract
Neural representations of perceptual decision formation that are abstracted from specific motor requirements have previously been identified in humans using non-invasive electrophysiology; however, it is currently unclear where these originate in the brain. Here we capitalized on the high spatiotemporal precision of intracranial EEG to localize such abstract decision signals. Participants undergoing invasive electrophysiological monitoring for epilepsy were asked to judge the direction of random-dot stimuli and respond either with a speeded button press (N = 24), or vocally, after a randomized delay (N = 12). We found a widely distributed motor-independent network of regions where high-frequency activity exhibited key characteristics consistent with evidence accumulation, including a gradual buildup that was modulated by the strength of the sensory evidence, and an amplitude that predicted participants’ choice accuracy and response time. Our findings offer a new view on the brain networks governing human decision-making.
Other Sponsorship
National Institutes of Health
Type of Material
Journal Article
Publisher
Springer
Journal
Nature Human Behaviour
Volume
8
Issue
4
Start Page
758
End Page
770
Copyright (Published Version)
2024 Springer
Subjects

Brain

Epilepsy

Electroencephalograph...

Electrocorticography

DOI
10.1038/s41562-024-01824-9
Language
English
Status of Item
Peer reviewed
ISSN
2397-3374
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Gherman2024_forPostingOnWebsites.pdf

Size

2.48 MB

Format

Adobe PDF

Checksum (MD5)

35b6bf62224d4172479b42443061dfa9

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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