A dataset of multiresolution functional brain parcellations in an elderly population with no or mild cognitive impairment

Angela Tam,Christian Dansereau,Amanpreet Badhwar,Pierre Orban,Sylvie Belleville,Howard Chertkow,Alain Dagher,Alexandru Hanganu,Oury Monchi,Pedro Rosa-Neto,Amir Shmuel,John Breitner,Pierre Bellec

doi:10.1016/j.dib.2016.11.036

Abstract

We present group eight resolutions of brain parcellations for clusters generated from resting-state functional magnetic resonance images for 99 cognitively normal elderly persons and 129 patients with mild cognitive impairment, pooled from four independent datasets. This dataset was generated as part of the following study: Common Effects of Amnestic Mild Cognitive Impairment on Resting-State Connectivity Across Four Independent Studies (Tam et al., 2015) [1]. The brain parcellations have been registered to both symmetric and asymmetric MNI brain templates and generated using a method called bootstrap analysis of stable clusters (BASC) (Bellec et al., 2010) [2]. We present two variants of these parcellations. One variant contains bihemisphereic parcels (4, 6, 12, 22, 33, 65, 111, and 208 total parcels across eight resolutions). The second variant contains spatially connected regions of interest (ROIs) that span only one hemisphere (10, 17, 30, 51, 77, 199, and 322 total ROIs across eight resolutions). We also present maps illustrating functional connectivity differences between patients and controls for four regions of interest (striatum, dorsal prefrontal cortex, middle temporal lobe, and medial frontal cortex). The brain parcels and associated statistical maps have been publicly released as 3D volumes, available in .mnc and .nii file formats on figshare and on Neurovault. Finally, the code used to generate this dataset is available on Github.

Highlights

We present group eight resolutions of brain parcellations for clusters generated from resting-state functional magnetic resonance images for 99 cognitively normal elderly persons and 129 patients with mild cognitive impairment, pooled from four independent datasets
The Alzheimer's Disease Neuroimaging Initiative 2 (ADNI2) data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database
Subjects included in this study were recruited by ADNI-2 from all 13 sites that acquired resting-state functional magnetic resonance imaging (fMRI) on Philips scanners across North America

Summary

Data accessibility

Analyzed Pre-processing for motion-related or other artifacts, group-level statistical analysis We pooled resting-state fMRI data from 4 independent studies with cognitively normal elderly subjects and patients with mild cognitive impairment to generate 1) group-level functional brain parcellations with varying numbers of parcels, and 2) maps illustrating functional connectivity differences between patients and controls in four parcels of interest. These parcellations can be used as atlases for brain imaging studies in elderly populations. The code can be adapted to generate similar atlases on other datasets or populations This data release contains group brain parcellations at multiple resolutions (4, 6, 12, 22, 33, 65, 111, and 208 parcels) generated from resting-state functional magnetic resonance images for 99 cognitively normal elderly persons and 129 patients with mild cognitive impairment. Labels based on typical resting-state networks, and their decomposition into subnetworks or regions, are proposed for all brain parcels. This release includes unthresholded maps of connectivity differences (t-maps) between patients and controls for four seeds/regions of interest (striatum, dorsal prefrontal cortex, middle temporal lobe, and medial frontal cortex)

Participants

Computational environment

Findings

Statistical testing