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Neural phase locking predicts BOLD response in human auditory cortex

Lookup NU author(s): Professor Christopher Petkov, Professor Tim GriffithsORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2017 The Author(s) Natural environments elicit both phase-locked and non-phase-locked neural responses to the stimulus in the brain. The interpretation of the BOLD signal to date has been based on an association of the non-phase-locked power of high-frequency local field potentials (LFPs), or the related spiking activity in single neurons or groups of neurons. Previous studies have not examined the prediction of the BOLD signal by phase-locked responses. We examined the relationship between the BOLD response and LFPs in the same nine human subjects from multiple corresponding points in the auditory cortex, using amplitude modulated pure tone stimuli of a duration to allow an analysis of phase locking of the sustained time period without contamination from the onset response. The results demonstrate that both phase locking at the modulation frequency and its harmonics, and the oscillatory power in gamma/high-gamma bands are required to predict the BOLD response. Biophysical models of BOLD signal generation in auditory cortex therefore require revision and the incorporation of both phase locking to rhythmic sensory stimuli and power changes in the ensemble neural activity.


Publication metadata

Author(s): Oya H, Gander PE, Petkov CI, Adolphs R, Nourski KV, Kawasaki H, Howard MA, Griffiths TD

Publication type: Article

Publication status: Published

Journal: NeuroImage

Year: 2018

Volume: 169

Pages: 286-301

Print publication date: 01/04/2018

Online publication date: 22/12/2017

Acceptance date: 16/12/2017

Date deposited: 07/03/2018

ISSN (print): 1053-8119

ISSN (electronic): 1095-9572

Publisher: Academic Press Inc.

URL: https://doi.org/10.1016/j.neuroimage.2017.12.051

DOI: 10.1016/j.neuroimage.2017.12.051


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Funding

Funder referenceFunder name
DC04290

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