Task-based fMRI can provide robust somatotopic mapping of digits of the hand. Resting state fMRI (rs-fMRI) provides the ability to parcellate brain areas based on their connectivity. Here, we use simultaneous multislice to acquire high spatial resolution fMRI resting state data with a short TR to determine whether we can topographically map connectivity within the sensorimotor cortex. Seed based locations of the index finger (Digit 2) and little finger (Digit 5) are defined from somatotopic travelling wave and finger tapping tasks, and used to demonstrate significant topographic mapping in rs-fMRI data.
Data Acquisition
Seven subjects (2 female, age 24±2 years) participated in the study. fMRI data were collected using a 7T Philips Achieva scanner equipped with a 32-channel receiver coil (NOVA Medical). For the fast rs-fMRI scan, GE-EPI fMRI data (TR = 600 ms, MB-factor = 3, SENSE 1.5, 2 mm3 isotropic resolution, FOV = 128x60x192 mm, FA = 46°, TE = 25 ms) were acquired for 5 minutes whilst subjects had their eyes open. In addition, subjects participated in task-based fMRI measures to generate somatosensory and motor maps. Somatotopic maps were formed using a ‘travelling wave (TW)’ paradigm1 (TR= 2 s, TE= 25 ms, FA=75°) in which piezo-electric stimulators sequentially stimulated each digit of the hand for 4s of a 20 s cycle either in a forward (from the thumb to the little finger) or backward (from little finger to the thumb) ordering for 8 cycles6. Subjects also performed a task paradigm where they performed a D2 or D5 movement for 8 s followed by 20 s rest, repeated 3 times for each digit per hand.
Data Analysis
To determine the locations of D2 and D5, the TW fMRI data were analyzed using Fourier analysis in mrTools (http://www.cns.nyu.edu/heegerlab) to calculate the coherence and phase of the best-fitting 1/20 Hz sine wave at each voxel. These peak locations were confirmed using the motor fMRI data, which were analysed using a GLM. The peak locations of D2 and D5 were then used as seed locations in the rs-fMRI data. Connectivity maps were generated for each seed (i.e. D2 and D5). Significance was determined by first mirroring the seed location for each digit across the cortex. The mean Euclidean distance from the mirrored seed location to the maximum of the connectivity map in the contra-lateral motor cortex was found, and contrasted with the distance to the other digit’s mirrored seed (see Figure 3A).
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