By our bootstraps: Comparing methods for measuring auditory 40 Hz steady-state neural activity.

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TitleBy our bootstraps: Comparing methods for measuring auditory 40 Hz steady-state neural activity.
Publication TypeJournal Article
Year of Publication2017
AuthorsJ Edgar, C, Fisk, CL, Chen, Y-H, Stone-Howell, B, Hunter, MA, Huang, M, Bustillo, JR, Cañive, JM, Miller, GA
Date Published2017 08
KeywordsAcoustic Stimulation, Adult, Auditory Cortex, Electroencephalography, Evoked Potentials, Auditory, Female, Functional Laterality, Humans, Magnetoencephalography, Male, Middle Aged

Although the 40 Hz auditory steady-state response (ASSR) is of clinical interest, the construct validity of EEG and MEG measures of 40 Hz ASSR cortical microcircuits is unclear. This study evaluated several MEG and EEG metrics by leveraging findings of (a) an association between the 40 Hz ASSR and age in the left but not right hemisphere, and (b) right- > left-hemisphere differences in the strength of the 40 Hz ASSR. The contention is that, if an analysis method does not demonstrate a left 40 Hz ASSR and age relationship or hemisphere differences, then the obtained measures likely have low validity. Fifty-three adults were presented 500 Hz stimuli modulated at 40 Hz while MEG and EEG were collected. ASSR activity was examined as a function of phase similarity (intertrial coherence) and percent change from baseline (total power). A variety of head models (spherical and realistic) and a variety of dipole source modeling strategies (dipole source localization and dipoles fixed to Heschl's gyri) were compared. Several sensor analysis strategies were also tested. EEG sensor measures failed to detect left 40 Hz ASSR and age associations or hemisphere differences. A comparison of MEG and EEG head-source models showed similarity in the 40 Hz ASSR measures and in estimating age and left 40 Hz ASSR associations, indicating good construct validity across models. Given a goal of measuring the 40 Hz ASSR cortical microcircuits, a source-modeling approach was shown to be superior in measuring this construct versus methods that rely on EEG sensor measures.

Alternate JournalPsychophysiology
PubMed ID28421620
PubMed Central IDPMC5507710
Grant ListK01 MH108822 / MH / NIMH NIH HHS / United States
K08 MH085100 / MH / NIMH NIH HHS / United States
R01 MH065304 / MH / NIMH NIH HHS / United States
P20 RR021938 / RR / NCRR NIH HHS / United States
I01 CX000499 / CX / CSRD VA / United States