This study aims to identify projections from the posterior parietal "reach area" to the primary motor cortex, in healthy humans, using diffusion MRI tractography and direct cortical stimulation information. We analyzed multiple-shell data from 20 subjects of the Human Connectome Project and found significant ipsilateral projections connecting the identified region to the primary motor cortex, especially the hand-knob area which shows the highest streamlines density on both hemispheres. Strikingly, we also identified a density peak in the left (language-related) hemisphere, within the dorsolateral part of the precentral gyrus related to mouth control.
Based on a previous study2, we identified the 95% confidence area of the cortical region that disrupts hand motor activity when stimulated (shown in Figure 1a for the left hemisphere mapped onto the template pial surface). Using the individual white and pial surfaces computed with FreeSurfer3, we generated the corresponding PRR for each subject on both hemispheres (shown for one subject in Figure 1b), and we inferred a volumic region of interest (ROI) located within the parietal lobe representing the individual confidence ellipse.
In order to better quantify the putative anatomical
connectivity between this region and the primary motor area located in the
precentral gyrus, we used the MRtrix3 software4 on the dMRI data
available in the HCP to perform state-of-the-art tractography methods. The white
matter fiber Orientation Distribution Functions (fODF) were obtained using the Constrained
Spherical Deconvolution (CSD) technique5, and we performed a whole
brain tractography using probabilistic and deterministic algorithms, with a grey
matter white matter interface seeding allowed by the Anatomically Constrained
Tractography (ACT) approach6. This modular addition takes advantage
of the tissue segmentation done with Freesurfer in order to influence the
streamlines reconstruction, and has been shown to give more accurate results
when dealing with connectomics. By using deterministic and probabilistic algorithms,
and by varying some tractography parameters (the step size, the cutoff and the
angle), we obtained multiple tractograms before filtering them to get the
individual white matter pathways. We made the step size vary among [0.3, 0.6,
1.25] based on the spatial resolution of the dMRI data, we made the angle vary among
[30°, 45°, 60°] and the cutoff among [0.05, 0.1, 0.15], according to the advice
given by the MRtrix3 community for the HCP post-processing pipeline. Finally,
we set the maximum length to 80 mm based on the Euclidean distance between the two
ROIs centers. Thus, we filtered the 54 whole brain tractograms (1 million
streamlines per tractogram) to detect only streamlines of which endpoints are
located within the parietal ROI and within the precentral gyrus (given by the
Destrieux’s parcellation7).
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Figure 1: a) Anatomical distribution of the motor inhibition sites shown as a confidence ellipsoid mapped onto the template pial surface. b) The corresponding
individual confidence
areas for both hemispheres projected onto the pial surface for one subject.