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. 2022 Jun 27;35:103102. doi: 10.1016/j.nicl.2022.103102

Fig. 2.

Fig. 2

Thalamocortical functional and structural connectivity processing pipeline. (A) Thalamocortical functional connectivity processing pipeline. High temporal resolution functional images are obtained during a resting state with eyes open. ROIs are defined through co-registration with structural data. Functional data is spatially smoothed, averaged, and band-pass filtered within each ROI. The cross-correlation of the signals between two ROIs is computed. (B) Thalamocortical structural connectivity processing pipeline. High-resolution, multidirectional diffusion images are obtained. Diffusion tensor models are estimated at each voxel. ROIs are defined through co-registration with structural data. Streamlines are executed from each ROI seed. The connectivity index (CI) is calculated as the proportion of streamlines that reach the target ROI.