Hsin-Ju Lee1,2, Hankyeol Lee3, Kamil Uludag3,4, Jyrki Ahveninen5, and Fa-Hsuan Lin1,2
1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 4Techna Institute & Koerner Scientist in MR Imaging, Joint Department of Medical Imaging and Krembil Brain Institute, University Health Network, Toronto, ON, Canada, 5A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
Synopsis
We explored the functional
connectivity of the human auditory cortex with cortical depth analysis and
compared music listening and the resting state using 7T fMRI with 0.8 mm
isotropic resolution. Tonotopic maps, principal component analysis, and
seed-based correlation revealed network topologies and suggested functions
supporting feed-forward and feed-back processing. The feed-forward process is
manifested by the reduced correlation to the contralateral auditory cortex
during music-listening at the intermediate cortical depths. The feed-back
processing is associated with a network like the tonotopic organization, which
was stable between the resting and music listening but more correlated with the
contralateral auditory cortex.
Introduction
The neural dynamics at bi-hemispheric
auditory cortices have been shown to be correlated with each other [1]. This functional connectivity was prominent
during either engaging auditory stimuli or resting state without explicit
acoustic inputs [2]. Changes in the auditory functional connectivity
have been found associated with psychiatric disorders [3]. Details about the neural orchestration
within the auditory cortex, particularly across cortical depths [4], are less known. Here we use cortical-depth
dependent fMRI [5-7] to reveal functional connectivity networks
across cortical depths during music listening and compare those during the
resting state.Methods
All participants joined this study with
written informed consents after the approval of the Institute Review Boards.
Functional MRI data were acquired on a 7T (Terra, Siemens) with a 32-channel
whole-head coil array. Structural and functional images were acquired with
MP2RAGE and a 0.8-mm isotropic resolution EPI, respectively. Nine cortical
surfaces with equally spaced cortical thickness were reconstructed from the
structural images using FreeSurfer [8, 9]. The auditory stimulus were three songs (Song 1: “Doraemon”
theme song, Song 2: “Brahms Piano Concerto No. 1”, and Song 3: “Lost stars” from Adam Levine). Each
participant listened to each song twice in a randomized order. We also measured
the fMRI signals during the resting state using the same protocol. Data
preprocessing included the use of the topup function in FSL to correct
the EPI geometric distortion. Confound in the fMRI time series included
dynamics of the head motion and signals averaged across the white matter and
ventricles.
At each cortical depth, Principal Component Analysis (PCA)
was first used to decompose the spatiotemporal fMRI signals within the auditory
cortex into the spatial distributions and the dynamics of networks during music
listening and the resting state. The auditory cortex was anatomically defined
by the Human Connectome Project data (Figure 1). A permutation test based on 100 repetitions
of phase scrambled fMRI time series was used to assess the statistical
significance of the PCA analysis. Second, we compared the spatial distributions
of singular vectors to group-average tonotopic maps defined in a separate study (Figure 1) [10] to
better understand their physiological correlates to the processing of basic
auditory information. Third, we calculated the correlation coefficient at each
cortical depth with the seed at the contralateral hemisphere and the same
cortical depth to reveal inter-hemispherical functional connectivity (ihFC).
The comparison of ihFC was quantified by taking the Fisher’s Z-transform on the
effects. Results
Figure 2 shows the
proportion of the first singular values in the resting and music listening
conditions across cortical depths at left and right auditory cortices. The
first component had a larger proportion of total power of singular values at
the intermediate cortical depths. The pial surface also shows a large
proportion. No significant difference was found between the resting state and
music listening. The following analysis focused on the first principal
components. The spatial distributions of the first principal components at the
superficial depths were similar to tonotopic maps (Figure 3). This similarity
does not change between the resting state and the music listening. Figure 4 shows maps of the first
principal components and their differences across cortical depths at the left
and right auditory cortices during the resting and music listening conditions. Stronger
and more focal fMRI signals around Heschl’s gyrus were found in the resting
state than music listening. The differences were more prominent at the
intermediate cortical depths. Finally, we examined spatial distributions of
correlation coefficients and their differences with respect to the contralateral
auditory cortex activity at the same cortical depth during the resting and
music listening conditions (Figure 5). These
correlations were stronger during music listening. The differences of these
correlations were found at superficial and deep cortical depths.Discussion
Preferential anatomical feed-forward
connections are found at the intermediate cortical depth in the primary sensory
regions [11, 12]. The feed-forward
mechanism can be supported by fewer “modes” (Figure 2) with a spatial
distribution different from the tonotopic map (Figure 3) with more activity
during the resting state and focal activity around the Heschl’s gyrus (Figure
4) at the intermediate depths. The feed-forward process is also manifested
by the reduced correlation to the neural activity at the contralateral auditory
cortex during music-listening at the intermediate cortical depths (Figure 5).
The feedback processing from other brain areas to the auditory cortex is likely
associated with a network similar to the tonotopic organization (Figure 3),
which was relatively stable between the resting and music-listening (Figure
4) but more correlated with the contralateral auditory cortex (Figure 5).
Further electrophysiological experiments will provide more direct evidence
about the neural basis of the functional connectivity within the auditory
cortex.Acknowledgements
This study was supported by Canadian Institutes
of Health Research (202104PJT-463545-MPI-CEAF-293013), Natural Sciences and
Engineering Research Council of Canada (RGPIN-2020-05927), MITACS (IT25405),
Sunnybrook Research Institute, Canadian Foundation for Innovation, Ministry of
Science and Technology, Taiwan (108-2410-H-010-006-MY2 and 109-2314-B-075
-053), National Health Research Institutes, Taiwan (NHRI-EX109-10905NI), and NIDCD
(R01DC017991, R01DC016765).References
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