PT  - JOURNAL ARTICLE
AU  - Tam, Angela
AU  - Dansereau, Christian
AU  - Badhwar, AmanPreet
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
AU  - , 
TI  - Multiresolution functional brain parcellation in an elderly population with no or mild cognitive impairment
AID  - 10.1101/077974
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 077974
4099  - http://biorxiv.org/content/early/2016/09/29/077974.short
4100  - http://biorxiv.org/content/early/2016/09/29/077974.full
AB  - We present group 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 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). Eight resolutions of clusters were selected using a data-driven method called MSTEPS (Bellec, 2013). 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 (superior medial frontal cortex, dorsomedial prefrontal cortex, striatum, middle temporal lobe). The brain parcels and associated statistical maps have been publicly released as 3D volumes, available in .mnc and .nii file formats on figshare (http://dx.doi.org/10.6084/m9.figshare.1480461) and on Neurovault (http://neurovault.org/collections/1003/). This dataset was generated as part of the following study: Tam A, Dansereau C, Badhwar A, Orban P, Belleville S, Chertkow H, Dagher A, Hanganu A, Monchi O, Rosa-Neto P, Shmuel A, Wang S, Breitner J, Bellec P for the Alzheimer’s Disease Neuroimaging Initiative (2015) Common Effects of Amnestic Mild Cognitive Impairment on Resting-State Connectivity Across Four Independent Studies. Front. Aging Neurosci. 7:242. doi: 10.3389/fnagi.2015.00242 Finally, the code used to generate this dataset is available on Github (https://github.com/SIMEXP/mcinet).Specifications Table