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Preprocessed Connectomes Project specifications

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Unique identifier OMICS_16717
Name Preprocessed Connectomes Project
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Maintained Yes

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  • person_outline Cameron Craddock

Publication for Preprocessed Connectomes Project

Preprocessed Connectomes Project citations

 (9)
library_books

Insight and inference for DVARS

2018
Neuroimage
PMCID: 5915574
PMID: 29307608
DOI: 10.1016/j.neuroimage.2017.12.098

[…] 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°, […]

library_books

Both Hypo Connectivity and Hyper Connectivity of the Insular Subregions Associated With Severity in Children With Autism Spectrum Disorders

2018
Front Neurosci
PMCID: 5904282
PMID: 29695950
DOI: 10.3389/fnins.2018.00234

[…] 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 […]

library_books

Diagnosing Autism Spectrum Disorder from Brain Resting State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method

2017
Front Neurosci
PMCID: 5566619
PMID: 28871217
DOI: 10.3389/fnins.2017.00460

[…] 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 […]

library_books

The impact of T1 versus EPI spatial normalization templates for fMRI data analyses

2017
Hum Brain Mapp
PMCID: 5565844
PMID: 28745021
DOI: 10.1002/hbm.23737

[…] 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 […]

library_books

Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum

2017
PMCID: 5473646
PMID: 28652966
DOI: 10.1016/j.nicl.2017.05.024

[…] 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 […]

library_books

Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI

2017
PMCID: 5279697
PMID: 28180077
DOI: 10.1016/j.nicl.2017.01.018

[…] 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 […]


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Preprocessed Connectomes Project institution(s)
Child Mind Institute, Center for the Developing Brain, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Center for Biomedical Imaging and Neuromodulation, New York, NY, USA; Yale University, Department of Psychology, New Haven, CT, USA; Universite´ de Montre´al, Département d’anthropologie, Montre´al, Canada; Centre de recherche de l’institut de ge´riatrie de Montre´al, Montre´al, Canada
Preprocessed Connectomes Project funding source(s)
This project is supported by the Nathan S. Kline Institute for Psychiatric Research, the New York State Office of Mental Health, the Research Foundation for Mental Hygiene, and the Child Mind Institute.

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