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Preprocessed Consortium for Neuropsychiatric Phenomics dataset.

Krzysztof J Gorgolewski1, Joke Durnez1,2, Russell A Poldrack1

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|November 23, 2017
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Summary
This summary is machine-generated.

This study provides preprocessed magnetic resonance imaging (MRI) data from 265 participants in the Consortium for Neuropsychiatric Phenomics (CNP) dataset. The release of this neuroimaging data aims to accelerate research in neuropsychiatric disorders.

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cognitionfMRIhumanpreprocessed

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Area of Science:

  • Neuroimaging
  • Psychiatry
  • Data Science

Background:

  • Neuropsychiatric research requires standardized and accessible neuroimaging data.
  • The Consortium for Neuropsychiatric Phenomics (CNP) dataset offers a valuable resource for studying brain-behavior relationships.
  • Preprocessing neuroimaging data is a critical step for reliable analysis.

Purpose of the Study:

  • To present a preprocessed magnetic resonance imaging (MRI) dataset from the CNP.
  • To facilitate and accelerate research in neuropsychiatric phenomics.
  • To provide researchers with ready-to-use neuroimaging data, including various spatial formats and statistical maps.

Main Methods:

  • Acquisition of MRI data from 265 participants.
  • Minimal preprocessing of MRI data, including registration to standard spaces (MNI, surface).
  • Generation of accompanying data such as confound regressors, tissue probability maps, brain masks, transformations, and statistical maps.

Main Results:

  • A comprehensive, preprocessed MRI dataset is now available.
  • The dataset includes minimally processed data in native, MNI, and surface spaces.
  • Unthresholded statistical maps at both group and single-subject levels are provided for all tasks.

Conclusions:

  • The availability of this preprocessed CNP MRI dataset will significantly advance neuropsychiatric research.
  • Researchers can utilize this dataset to expedite their investigations into brain function and dysfunction.
  • This resource supports a wide range of analyses, from basic to complex modeling.