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Multiresolution functional brain parcellation 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, Alzheimer’s Disease Neuroimaging Initiative
doi: https://doi.org/10.1101/077974
Angela Tam
aMcGill University, Montreal, QC, CA
bDouglas Mental Health University I’nstitute, Research Centre, Montreal, QC, CA
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
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Christian Dansereau
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
dUniversité de Montréal, QC, CA
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AmanPreet Badhwar
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
dUniversité de Montréal, QC, CA
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Pierre Orban
bDouglas Mental Health University I’nstitute, Research Centre, Montreal, QC, CA
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
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Sylvie Belleville
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
dUniversité de Montréal, QC, CA
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Howard Chertkow
aMcGill University, Montreal, QC, CA
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Alain Dagher
aMcGill University, Montreal, QC, CA
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Alexandru Hanganu
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
eUniversity of Calgary, AB, CA
fHotchkiss Brain Institute, Calgary, AB, Canada
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Oury Monchi
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
dUniversité de Montréal, QC, CA
eUniversity of Calgary, AB, CA
fHotchkiss Brain Institute, Calgary, AB, Canada
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Pedro Rosa-Neto
aMcGill University, Montreal, QC, CA
bDouglas Mental Health University I’nstitute, Research Centre, Montreal, QC, CA
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Amir Shmuel
aMcGill University, Montreal, QC, CA
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John Breitner
aMcGill University, Montreal, QC, CA
bDouglas Mental Health University I’nstitute, Research Centre, Montreal, QC, CA
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Pierre Bellec
cCentre de recherche de l’institut universitaire de gériatrie de Montréal, QC, CA
dUniversité de Montréal, QC, CA
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Abstract

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).

Table1
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Footnotes

  • ↵* Part of the data used in preparation of this article were obtained from the Alzheimer’s Disease Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.uscedu/wp-content/uploads/how_to_apply/ASNI_Acknowledgement_List.pdf

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 29, 2016.
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Multiresolution functional brain parcellation 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, Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 077974; doi: https://doi.org/10.1101/077974
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Multiresolution functional brain parcellation 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, Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 077974; doi: https://doi.org/10.1101/077974

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