TY - JOUR
T1 - A dataset of multiresolution functional brain parcellations in an elderly population with no or mild cognitive impairment
AU - for the Alzheimer׳s Disease Neuroimaging Initiative
AU - Tam, Angela
AU - Dansereau, Christian
AU - Badhwar, Aman Preet
AU - Orban, Pierre
AU - Belleville, Sylvie
AU - Chertkow, Howard
AU - Dagher, Alain
AU - Hanganu, Alexandru
AU - Monchi, Oury
AU - Rosa-Neto, Pedro
AU - Shmuel, Amir
AU - Breitner, John
AU - Bellec, Pierre
N1 - Funding Information:
We thank Sven Joubert, Isabelle Rouleau, and Sophie Benoit for their contribution in collection of the CRIUGMa dataset. We thank Seqian Wang for his help in curating the ADNI dataset. We thank Tom Nichols for his comments and suggestions. Collection of the CRIUGMb dataset was supported by the Alzheimer׳s Society of Canada . Collection of the MNI dataset was supported by Industry Canada / Montreal Neurological Institute Centre of excellence in commercialization and research . This work was supported by CIHR ( 133359 ) and NSERC ( 436141-2013 ). The computational resources used to perform the data analysis were provided by Compute Canada and CLUMEQ, which is funded in part by NSERC (MRS), FQRNT , and McGill University .
Funding Information:
Data collection and sharing for this project was funded by the Alzheimer׳s Disease Neuroimaging Initiative (ADNI) ( National Institutes of Health Grant U01 AG024904 ) and DOD ADNI ( Department of Defense Award no. W81XWH-12-2-0012 ). ADNI is funded by the National Institute on Aging , the National Institute of Biomedical Imaging and Bioengineering , and through generous contributions from the following: AbbVie , Alzheimer׳s Association ; Alzheimer׳s Drug Discovery Foundation ; Araclon Biotech ; BioClinica, Inc. ; Biogen ; Bristol-Myers Squibb Company ; CereSpir, Inc. ; Cogstate ; Eisai Inc. ; Elan Pharmaceuticals, Inc. ; Eli Lilly and Company ; EuroImmun ; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc. ; Fujirebio ; GE Healthcare ; IXICO Ltd. ; Janssen Alzheimer Immunotherapy Research & Development, LLC. ; Johnson & Johnson Pharmaceutical Research & Development LLC. ; Lumosity ; Lundbeck ; Merck & Co., Inc. ; Meso Scale Diagnostics, LLC. ; NeuroRx Research ; Neurotrack Technologies ; Novartis Pharmaceuticals Corporation ; Pfizer Inc. ; Piramal Imaging ; Servier ; Takeda Pharmaceutical Company ; and Transition Therapeutics . The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education , and the study is coordinated by the Alzheimer׳s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.
Publisher Copyright:
© 2016
PY - 2016/12
Y1 - 2016/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85030531866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030531866&partnerID=8YFLogxK
U2 - 10.1016/j.dib.2016.11.036
DO - 10.1016/j.dib.2016.11.036
M3 - Article
C2 - 27924300
AN - SCOPUS:85030531866
SN - 2352-3409
VL - 9
SP - 1122
EP - 1129
JO - Data in Brief
JF - Data in Brief
ER -