Yifei Wang1,2, Fanhua Guo1,2, Huilou Liang1,2, Jing An3, Rong Xue1,2, Chencan Qian1,2, and Peng Zhang1,2
1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, Beijing, China
Synopsis
Keywords: Task/Intervention Based fMRI, fMRI (task based)
Motivation: Layer-specific response in frontoparietal areas and their connectivity with the visual cortex are important to understand the neural circuitry of attention.
Goal(s): Investigate the neural circuitry of attention in IPS and V1 with laminar fMRI.
Approach: Using ultra-high resolution multi-echo bSSFP fMRI at 7 Tesla, layer-specific functional activity in IPS and V1 were simultaneously recorded in a spatial attention task.
Results: Attention demanding task induced significant activations in both superficial and deep layers of IPS, enhanced activity in the deep layers of V1, and increased feedback connectivity from the deep layers of IPS to the deep layers of V1.
Impact: This
study demonstrates the feasibility of using ultra-high resolution multi-echo
bSSFP fMRI at 7 Tesla to simultaneously image multiple brain regions to
investigate the neural circuitry of high-level cognition.
Purpose
Selective attention allows our brains to selectively process behaviorally relevant information with limited processing capacity. Previous laminar fMRI studies of attention have been limited to the early visual cortex. Layer-specific responses in the attentional control brain regions in the frontoparietal lobe and their connectivity with the early visual cortex are yet to be explored. In this study, we investigated the attentional modulation of layer-specific responses and connectivity in IPS and V1 with ultra-high resolution multi-echo bSSFP fMRI.Methods
Twelve subjects (5 females)
participated in the fMRI experiment. Figure 1 shows the stimulus procedure.
An attentional cue was presented before each stimulus block to indicate the task
location. Two wedges of checkerboard stimuli (0.5 to 5 degrees of eccentricity,
2 cycles per degree of spatial frequency, counter phase flickering at 6 Hz)
were simultaneously presented to the left and to the right side of fixation. The
checkerboard stimuli were presented at three contrast levels (6%, 24%, 96%). During
the 20 seconds of stimulus presentation, the spatial frequency of the two
checkerboard patterns changed 1-3 times randomly and independently. Subjects
were asked to pay attention to the cued checkerboard to detect occasional
spatial frequency changes. Nine runs of functional data were collected for each
subject. The orders of stimulus contrast and attention conditions were counterbalanced
within and across runs.
MRI data were collected
on a 7T scanner (SIEMENS Magnetom) with a 32-channel receive 1-channel transmit
head coil (NOVA medical). Subjects used a bite bar to restrict head motion.
Functional images were acquired using a multi-echo bSSFP fMRI sequence (Liang
et al.) (FOV=116×116 mm, Matrix size = 387× 387, 0.3 mm in-plane resolution, slice
thickness = 3 mm, 2 slices, single slice acquisition time = 2022.69
ms, TR = 7.3 ms, TE = 3.65 ms,
echo train length = 3, nominal flip angle = 30°, Bandwidth = 310 Hz/Px, Phase
encoding direction from right to left,). Ghost-free magnitude images were reconstructed
using a GRAPPA-based method (Figure 2). Two bSSFP slices were placed
perpendicular to IPS of the parietal lobe and the calcarine sulcus in V1 (Figure
2). T1 weighted anatomical volumes were acquired using a MP2RAGE sequence (FOV
= 224×224 mm, 256 sagittal slices, 0.7 mm isotropic voxels, TE = 3.05 ms, TR = 4000
ms, TI1 = 750 ms, flip angle = 5 deg, TI2=2500 ms, flip angle = 4 deg,
bandwidth=240 Hz/pix, phase partial Fourier = 7/8, slice partial Fourier = 7/8,
GRAPPA factor = 3). MRI data were analyzed using AFNI/SUMA, FreeSurfer, LAYNII
and custom code in Python and Matlab. Gray matter ROIs in V1 and IPS was
subdivided into 20 equal-volume depth. The 96% contrast condition was used as an
independent localizer to define ROIs in V1 and IPS. Results
Figure
3A and B shows the layer-specific response
profiles and attentional modulations in V1. In the 6% contrast condition,
significant attentional modulation of stimulus response can be found in the
deep layers. In the 24% contrast condition, although a double-peak attentional
modulation can also be found, the effect was much weaker compared to the 6%
contrast condition. This could be due to higher task difficulty in the 6% (50.17
(mean) ±28.39(std) % accuracy) compared to the 24% (76.28±13.29% accuracy)
contrast condition. In both contralateral and ipsilateral IPS to the attended
visual field (Figure 3(C,D), significant clusters of activations can be
found in both superficial and deep layers in the 6% contrast condition. Psychophysiological
Interaction (PPI) further revealed significantly stronger effective
connectivity from the deep layers of IPS (IPSd) to the deep layers of V1 (V1d)
in attended compared to the unattended condition (p = 0.015, Figure 3E).)The PPI effect of attention was not significant
for the feedforward connection from the superficial layers of V1 (V1s) to the middle
layers of IPS contralateral to the attended stimulus (IPSm) (p = 0.787). The
PPI effect was also significantly stronger in feedback (IPSd-V1d) compared to feedforward
(V1s-IPSm) connections (p = 0.041).Conclusions
Both attention control and
visual brain areas were simultaneously imaged using ultra-high resolution multi-echo
bSSFP fMRI at 7 Tesla. Under high task difficulty, top-down attention
significantly enhanced stimulus responses in the deep layers of V1, and produced
significant activations in both deep and superficial layers of IPS. Layer-specific
effective connectivity analysis further revealed significantly
stronger IPSD-V1D
feedback connectivity in attended compared to unattended condition. These
findings demonstrate the feasibility of imaging mesoscale neural circuitry in multiple
brain regions using ultra-high resolution multi-echo bSSFP fMRI at 7 Tesla.Acknowledgements
No acknowledgement found.References
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