Biology subjects

Kuo, W.-J.

Publications and source records attributed to Kuo, W.-J..

3 recordsLinked to original sources

bioRxiv2026

Relating layer fMRI signals to acoustics and intracranial neuronal activity in the human auditory cortex in a naturalistic design

Naturalistic auditory perception engages feedforward and feedback dynamics across cortical depths, yet how these are organized in the human auditory cortex has been difficult to verify noninvasively. Here, we examine depth-dependent coupling between neuronal activity and fMRI during passive music listening. Depth-specific fMRI responses were modeled using neuronal oscillation envelopes elicited by the same naturalistic stimuli from a separate group of patients under intracranial EEG monitoring. From deep toward superficial depths, the relationship between oscillatory power and fMRI responses systematically changed: alpha/beta activity (8-30 Hz) was increasingly associated with negative fMRI responses, mapping top-down feedback, while gamma band (>30 Hz) oscillations showed increasingly positive associations. Relative to a purely acoustical fMRI baseline, broadband high-frequency activity (>70 Hz), a proxy for neuronal firing, showed the strongest coupling to BOLD signals at intermediate cortical depths receiving feedforward inputs from earlier auditory pathways. Our findings reveal a spectrolaminar organization of neurovascular coupling in the human auditory cortex.

neuroscience↗

bioRxiv2022

Visual stimuli modulate local field potentials but drive no high-frequency activity in human auditory cortex

Neuroimaging studies suggest cross-sensory visual influences in human auditory cortices. Whether these influences reflect active visual processing in human auditory cortices (ACs), which drives neuronal firing and concurrent broadband high-frequency activity (BHFA; >70 Hz), or whether they merely modulate sound processing is still debatable. Here, we presented auditory, visual, and audiovisual stimuli to 16 participants (7 women, 9 men) with stereo-EEG depth electrodes implanted near ACs for presurgical monitoring. Anatomically normalized group analyses were facilitated by inverse modeling of intracranial source currents. Analyses of intracranial event-related potentials (iERP) suggested cross-sensory responses to visual stimuli in ACs, which lagged the earliest auditory responses by several tens of milliseconds. Visual stimuli also modulated the phase of intrinsic low-frequency oscillations and triggered 15-30-Hz event-related desynchronization in ACs. However, BHFA, a putative correlate of neuronal firing, was not significantly increased in ACs after visual stimuli, not even when they coincided with auditory stimuli. Intracranial recordings demonstrate cross-sensory modulations, but no indication of active visual processing in human ACs. Significance StatementVisual information has a profound influence on auditory processing, particularly in noisy conditions. These "cross-sensory" influences start already in auditory cortices, the brain area that processes sound signals. It has, however, been unclear whether auditory cortex actively processes visual information or whether visual signals only change the way sounds are processed. We studied this question by neurophysiological recordings from 16 participants with epilepsy who had electrodes implanted in their brains due to medical reasons. Using these intracranial recordings, we show that cross-sensory visual information modulates sound processing but triggers no high-frequency activity -- a correlate of local neuronal firing -- in auditory cortex. This result provides important information on the role of sensory areas in multisensory processing in the human brain.

neuroscience↗

bioRxiv2020

Distributed source modeling of intracranial stereoelectroencephalographic measurements

Intracranial stereoelectroencephalography (sEEG) provides unsurpassed sensitivity and specificity for human neurophysiology. However, sEEG group analyses are complicated because the electrode implantations differ greatly across individuals. Here, using an auditory experiment as the test case, we developed a distributed, anatomically realistic sEEG source-modeling approach for within- and between-subject analyses. In addition to intracranial event-related potentials (iERP), we also estimated the sources of high broadband gamma activity (HBBG), a putative correlate of local neural firing. The source models accounted for a significant portion of the variance of the sEEG measurements in leave-one-out cross-validation. After logarithmic transformations, the sensitivity and signal-to-noise ratio were linearly inversely related to the minimal distance between the brain location and electrode contacts (slope{approx}-3.6). The HGGB source estimates were remarkably consistent with analyses of intracranial-contact data. In conclusion, distributed sEEG source modeling provides a powerful neuroimaging tool, which facilitates anatomically-normalized group analyses of both iERP and HBBG.

neuroscience↗