[...]far, normative connectomes have mostly been used to map specific neurological symptoms or phenomena to brain circuits (Fox, 2018) and to define engaged networks in patients undergoing neuromodulation (Fox et al., 2014). [...]studies have used normative connectomes because of (1) a lack of native (i.e. patient-specific) functional imaging, (2) limited test-retest reliability in intra-individual acquisitions (meaning that single acquisitions are inherently less reliable than aggregates) (Fox et al., 2013; Holiga et al., 2018), and (Fox, 2018) the state-of-the-art MRI hardware and acquisition parameters used in constructing certain normative connectivity datasets (Yeo et al., 2011; Horn et al., 2017). Included patients had a clinical diagnosis of idiopathic PD and were awaiting DBS implantation of either the subthalamic nucleus (STN) or internal globus pallidus (GPi). Five scans were removed due to suboptimal acquisitions. [...]77 raw rs-fMRI scans (58 at 3T and 19 at 1.5T) were included for pre-processing (Supplementary Figure 1). fMRI Preprocessing Preprocessing steps paralleled those employed in constructing a commonly used healthy normative connectome using Brain Genomics Superstruct Project (GSP) data (https://dataverse.harvard.edu/dataverse/GSP) (Yeo et al., 2011), with additional steps included to mitigate the effects of potentially increased motion in our PD cohort....

A Functional Connectome of Parkinson's Disease Patients Prior to Deep Brain Stimulation: A Tool for Disease-Specific Connectivity Analyses

10.3389/fnins.2022.804125