Preprocessed Connectomes Project

[…] We use use 20 healthy subjects of New York University (NYU) data-set. For full details visit Pre-processed Connectome Project website http://preprocessed-connectomes-project.org/; in brief, 6 min eyes-closed resting acquisitions were taken on an Allegra 3T scanner with a gradient echo EPI sequence, TR = 2000ms, TE = 15ms, flip angle = 90°, […]

[…] We used the dataset of the University of California, Los Angeles, one of the subsamples in the Autism Brain Imaging Data Exchange database (http://preprocessed-connectomes-project.org/abide/download.html). In regards to inclusion criteria, ASD had a prior clinical diagnosis of autism based on criteria from the Diagnostic and Statistical Manual o […]

[…] ic full-with at half maximum Gaussian kernel. For more data preprocessing details, please refer to Di Martino et al.'s paper (Di Martino et al., ). The description of pipelines can be found at http://preprocessed-connectomes-project.org/abide/Pipelines.html.Neuroscientists at PCP extracted mean time-series for several sets of ROIs atlases, including AAL which can be obtained at http://preprocessed […]

[…] m Brain Imaging Data Exchange (ABIDE [Craddock, ; Martino et al., ]) which differed in the way that EPI and T1 data were aligned and in the way that T1 data were transformed to standard space (http://preprocessed-connectomes-project.org/abide/). The nonlinear boundary based registration (BBR) approach in FSL 5.0 was used to align EPI and T1 data, and linear and nonlinear approaches in the advanced […]

[…] empt status by the University of Washington Human Subjects Committee. We included in this study only scans that were rated as ‘good’ by two or more of three raters in the ABIDE QI process (see http://preprocessed-connectomes-project.github.io/abide/quality_assessment.html). We then discarded scans with < 110 timepoints in the resting state scan since we wanted to preserve our ability to compute a […]

[…] d DVARS (), and visual inspection of all the data are indispensable for multiscanner data pooling. This is relevant since large scale data pooling efforts such as the PCP Quality Assessment Protocol (preprocessed-connectomes-project.org/quality-assessment-protocol/index.html) and the 1000 functional connectomes project (, ) focus on the detection and correction of spatial displacements and head mo […]