References

If the NeuroHub portal was used at all in your research, please include the following statement:

“This research used the NeuroHub infrastructure and was undertaken thanks in part to funding from the Canada First Research Excellence Fund, awarded through the Healthy Brains, Healthy Lives initiative at McGill University / Cette recherche a utilisé l’infrastructure NeuroHub, et été menée grâce, en partie, au soutien financier du Fonds d’excellence en recherche Apogée Canada, décerné à l’initiative Cerveau en santé, vie en santé à l’Université McGill.

This research was enabled in part by support provided by Calcul Québec and Compute Canada. / Il a été possible de réaliser cette recherche en partie grâce au soutien fourni par Calcul Québec et Calcul Canada.”

If data from the UK Biobank allocation (UKBiobank Application 45551: Mechanistic modelling of neurodevelopment, neuroplasticity and neurodegeneration), was utilized/accessed via NeuroHub portal and/or Compute Canada, please also include this statement:

“This research has been conducted using the UK Biobank Resource under Application Number 45551. / Cette recherche a été menée grâce aux données de la “UK Biobank” numéro de dossier 45551.”

2012

Das S, Zijdenbos AP, Vins D, Harlap J, Evans AC (2012) LORIS: A web-based data management system for multi-center studies. Front Neuroinf 5:37 read the paper

2014

Sherif T, Rioux P, Rousseau M-E, Kassis N, Beck N, Glatard T, Adalat R, Das S, Evans AC (2014) CBRAIN: A web-based, distributed computing platform for collaborative neuroimaging research. FFront Neurosci 8: 54 read the paper

Glatard T, Rousseau M-E, Rioux P, Adalat R, Evans AC (2014) Controlling the deployment of virtual machines on clusters and clouds for scientific computing in CBRAIN. Cluster, Cloud and Grid Computing (CCGrid) 4: 384-93 read the paper

Caspers S, Moebus S, Lux S, Pundt N, Schütz H, Mühleisen TW, Gras V, Eickhoff SB, Romanzetti S, Stöcker T, Kirlangic ME, Minnerop M, Pieperhoff P, Mödder U, Das S, Evans AC, Jöckel K-H, Erbel R, Cichon S, Nöthen MM, Sturma D, Bauer A, Shah NJ, Zilles K, Amunts K (2014) 1000BRAINS: studying variability of human brain ageing in a population-based German cohort. Front Aging Neurosci 6: 149 read the paper

2015

Glatard T and Evans AC (2015) Classifications of computing sites to handle numerical variability. Cluster, Cloud and Grid Computing (CCGrid) 5: 863-87 read the paper

Rogers C, Kostopoulos P, McFarlane D, Mohaddes Z, Brien D, St-Georges N, Portales-Casamar E, Das S, Evans AC (2015) LORIS: Enhanced tools for data management in neurodevelopmental studies. Int J Dev Neurosci 47(A): 125 read the paper

Sherif T, Kassis N, Rousseau M-E, Adalat R, Evans AC (2015) BrainBrowser: distributed, web-based neurological data visualization. Front Neuroinf 8:89 read the paper

Glatard T, Lewis LB, Ferreira da Silva R, Adalat R, Beck N, Lepage C, Rioux P, Rousseau ME, Sherif T, Deelman E, Khalili-Mahani N, Evans AC (2015) Reproducibility of neuroimaging analyses across operating systems. Front Neuroinform 9: 12 read the paper

2016

Glatard T, Das S, Adalat R, Beck N, Bernard R, Khalili-Mahani N, Rioux P, M-É Rousseau, Evans AC (2016) Nipype interfaces in CBRAIN. GigaScience 12-12 read the paper

Niso G, Rogers C, Moreau JT, Chen LY, Madjar C, Das S, Bock E, Tadel F, Evans A, Jolicoeur P, Baillet S (2016) OMEGA: The Open MEG Archive. Neuroimage 124: 1182-7 read the paper

Das S, Glatard T, MacIntyre LC, Madjar C, Rogers C, Rousseau ME, Rioux P, MacFarlane D, Mohaddes Z, Gnanasekaran R, Makowski C, Kostopoulos P, Adalat R, Niso G, Moreau JT, Evans AC (2016) The MNI data-sharing and processing ecosystem. Neuroimage 124: 1188-95 read the paper

2017

Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau M-E, Stirling J, MacFarlane D, Kostopoulos P, Rioux P, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Khalili-Mahani N, Fonov VS, Milot S, Leppert IR, Degroot C, Durcan TM, Campbell T, Moreau J, Dagher, A, Collins DL, Karamchandani J, Bar-Or A, Fon EA, Hoge R, Baillet S, Rouleau G, Evans AC (2017) Cyberinfrastructure for open science at the Montreal Neurological Institute. Front Neuroinf 10: 53 read the paper

Glatard T, Rousseau ME,Camarasu-Pop S, Adalat R, Beck N, Das S, Da Silva RF, Khalili-Mahani N, Korkhov V, Quirion PO, Rioux P, Olabarriaga SD, Bellec P, Evans AC (2017) Software architecture to integrate workflow engines in science gateways. Future Generation Computer Systems 75: 239-55 read the paper

2018

Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da Silva R, Flandin G, Girard P, Gorgolewski KJ, Guttmann CG, Hayot-Sasson V, Quirion P-O, Rioux P, Rousseau M-É, Evans AC (2018) Boutiques: a flexible framework for automated application integration in computing platforms. GigaScience 7(5): 1-11 read the paper

Dyke SOM, Linden M, Lappalainen I, De Argila JR, Carey K, Lloyd D, Spalding JD, Cabili MN, Kerry G, Foreman J, Cutts T, Shabani M, Rodriguez LL, Haeussler M, Walsh B, Jiang X, Wang S, Perrett D, Boughtwood T, Matern A, Brookes AJ, Cupak M, Fiume M, Pandya R, Tulchinsky I, Scollen S, Törnroos J, Das S, Evans AC, Malin BA, Beck S, Brenner SE, Nyrönen T, Blomberg N, Firth HV, Hurles M, Philippakis AA, Rätsch G, Brudno M, Boycott KM, Rehm HL, Baudis M, Sherry ST, Kato K, Knoppers BM, Baker D, Flicek P (2018) Registered access: authorizing data access. Eur J Hum Genet 26(12): 1721-31 read the paper

Mohaddes Z, Das S, Abou-Haidar R, Safi-Harab M, Blader D, Callegaro J, Henri-Bellmare C, Tunteng JF, Evans L, Campbell T, Lo D, Morin P-E, Whitehead V, Chertkow H, Evans AC (2018) National neuroinformatics framework for Canadian Consortium on Neurodegeneration in Aging (CCNA). Front Neuroinf 12: 85 read the paper

Das S, Lecours-Boucher X, Rogers C, Chouinard-Decorte F, Klein KO, Makowski C, Beck N, Rioux P, Brown ST, Mohaddes Z, Zweber C, Foing V, Forest M, O’Donnell K, Clark J, Greenwood CMT, Meaney MJ, Evans AC (2018) Integration of “omics” data and phenotypic data within a unified extensible multimodal framework. Front Neuroinf 12: 91 read the paper

2019
Kiar G, Brown ST, Glatard T, Evans AC (2019) A serverless tool for platform agnostic computational experiment management. Front Neuroinform 13: 12 read the paper


Chertkow H, Borrie M, Whitehead V, Black SE, Feldman HH, Gauthier S, Hogan DB, Masellis M, McGilton K, Rockwood K, Tierney MC, Andrew M, Hsiung GR, Camicioli R, Smith EE, Fogarty J, Lindsay J, Best S, Evans AC, Das S, Mohaddes Z, Pilon R, Poirier J, Phillips NA, MacNamara E, Dixon RA, Duchesne S, MacKenzie I, Rylett RJ (2019) The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study. Can J Neurol Sci 46(5): 499-511 read the paper

2020

Bosch-Bayard JF, Aubert-Vazquez E, Brown ST, Rogers C, Kiar G, Glatard T, Scaria L, Galan L, Bringas ML, Virues-Alba T, Taheri A, Das S, Madjar C, Mohaddes Z, MacIntyre LC, Evans AC, Valdes-Sosa PA (2020) A quantitative EEG toolbox for the MNI Neuroinformatics ecosystem: normative SPM of EEG source spectra. Front Neuroinf 14: 33 read the paper

Kiar G, Castro PdeO, Rioux P, Petit E, Brown ST, Evans AC, Glatard T (2020) Comparing perturbation models for evaluating stability of post-processing pipelines in neuroimaging. Int J High Performance Comput Appl 34(5): 491-501 read the paper

Das S, Abou-Haidar R, Sun SD, Rabalais H, Rosli Z, Chatpar K, Boivin M-N, Tabatabaei M, Rogers C, Legault M, Lo D, Degroot C, Dagher A, Dyke S, Durcan T, Seyller A, Doyon J, Poupon V, Fon E, Genge A, Rouleau G, Karamchandani J, Evans AC (2020) The C-BIG Repository: An institution-level Open Science platform. Neuroinformatics 20(1), 139–153. read the paper

Salari A, Kiar G, Lewis L, Evans AC, Glatard T (2020) File-based localization of numerical perturbations in data analysis pipelines. GigaScience, Volume 9, Issue 12, December 2020, giaa106, read the paper

2021

Das, S., Abou-Haidar, R., Rabalais, H. et al. The C-BIG Repository: an Institution-Level Open Science Platform.. Neuroinform (2021) read the paper

2022

Poline, JB., Das, S., Glatard, T. et al. (2023) Data and Tools Integration in the Canadian Open Neuroscience Platform. Sci Data 10, 189, read the paper

2020

Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, and Shawn T. Brown. 2020 Deploying large fixed file datasets with SquashFS and Singularity. PEARC ’20: Practice and Experience in Advanced Research Computing read the paper

Tremblay-Mercier J, Madjar C, Das S, Dyke SOM, Étienne P, Lafaille-Magnan M-E, Bellec P, Collins L, Rajah NM, Bohbot V, Leoutsakos J, Iturria-Medina Y, Kat J, Hoge R, Gauthier S, Chakravarty M, Rosa-Neto P, Villeneuve S, Evans AC, Poirier J, Breitner JCS, PREVENT-AD Research Group (2020) Creation of an Open Science dataset from PREVENT-AD, a longitudinal cohort study of pre-symptomatic Alzheimer’s disease. bioRxiv 976670 submitted read the paper

2022

Caron, B., Schuster, V., Abou-Haider, R., Beck, N., Boroday, S., Das, S., Hutton, A., Le, D., Lecours-Boucher, X., Legault, M., Mehta, J., O’Brien, E., O’Callaghan, L., Quesnel, D., Rioux, P., Trefonides, A., Wang, S., Zaytseva, K., Brown, S., … Poline, J-B.. (2022) NeuroHub Update – A Data and Computational Infrastructure for Collaborative, Reproducible Research. Zenodo, Abstract for OHBM 2022, read the paper 

Caron, B., Adalat, R., Beck, N., Boroday, S., Das, S., Khalili-Mahani, N., Quesnel, D., Rioux, P., Valevicius, D., & Evans, A. (2023) CBRAIN: a web-based, distributed computing platform for collaborative neuroinformatics research. Zenodo, Abstract for Workshop on Big Data Neuroscience UT Austin, read the paper 

2023

Beck, N., Adalat, R., Boroday, S, Das, S., Glatard, T., Khalili-Mahani, N., Lecours-Boucher, X., Pham, X. M., Quesnel, D., Rioux, P., Caron, B., & Evans, A. (2023) Scientific tool integration in CBRAIN, Zenodo, Accepted abstract and poster presented at the Organization for Human Brain Mapping Conference 2023, July 2023 read the paper

Beck, N., Adalat, R., Boroday, S., Das, S., Khalili-Mahani, N., Lecours-Boucher, X., Pham, X. M. Quesnel, D., Rioux, P., Caron, B., & Evans, A.. (2023) Visualization enhancements and updates to the CBRAIN distributed computing platform. Zenodo, Accepted abstract and poster presented at the Organization for Human Brain Mapping Conference 2023, July 2023 read the paper 

Boroday, S., Adalat, R., Beck, N., Das, S., Glatard, T., Khalili-Mahani, N., Lecours-Boucher, X., Pham, X. M., Quesnel, D., Rioux, P., Caron, B., & Evans, A. (2023) Less is More: CBRAIN Module for Input Parameter Reduction Using Boutiques Descriptors. Zenodo, Accepted abstract and poster presented at the Organization for Human Brain Mapping Conference 2023, July 2023 read the paper 

Caron, B., Adalat, R., Beck, N., Boroday, S., Das, S., Khalili-Mahani, N., Lecours-Boucher, X., Pham, X. M., Quesnel, D., Rioux, P., Valevicius, D., & Evans, A. (2023) CBRAIN: a web-based, distributed computing platform for collaborative neuroinformatics research. Zenodo, Accepted abstract and poster presented at the Organization for Human Brain Mapping Conference 2023, July 2023 read the paper 

Caron, B., Abou-Haider, R., Beck, N., Boroday, S., Das, S., Le, D., Lecours-Boucher, X., O’Brien, E., Pham, X. M., Quesnel, D., Rioux, P., Poline, J-B., & Evans, A. (2023) Efficient and scalable access to the UK Biobank data using the NeuroHub Platform. Zenodo, Accepted abstract and poster presented at the Organization for Human Brain Mapping Conference 2023, July 2023 read the paper 

2019

Mackey, S., Allgaier, N., Chaarani, B., Spechler, P., Orr, C., Bunn, J., … & ENIGMA Addiction Working Group. (2019) Mega-analysis of gray matter volume in substance dependence: general and substance-specific regional effects. American Journal of Psychiatry, 176(2), 119-128, read the paper

Kiar, G., Brown, S. T., Glatard, T., & Evans, A. C. (2019). A serverless tool for platform agnostic computational experiment management. Frontiers in neuroinformatics, 13, 12, read the paper

Albaugh, M. D., Hudziak, J. J., Ing, A., Chaarani, B., Barker, E., Jia, T., … & Potter, A. (2019). White matter microstructure is associated with hyperactive/inattentive symptomatology and polygenic risk for attention-deficit/hyperactivity disorder in a population-based sample of adolescents. Neuropsychopharmacology, 44(9), 1597-1603, read the paper

Albaugh, M. D., Hudziak, J. J., Orr, C., Spechler, P. A., Chaarani, B., Mackey, S., … & IMAGEN Consortium. (2019). Amygdalar reactivity is associated with prefrontal cortical thickness in a large population-based sample of adolescents. Plos one, 14(5), e0216152, read the paper

Chertkow, H., Borrie, M., Whitehead, V., Black, S., Feldman, H., Gauthier, S., . . . Rylett, R. (2019). The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study. Canadian Journal of Neurological Sciences, 46(5), 499-511, read the paper

Paquola, C., Vos De Wael, R., Wagstyl, K., Bethlehem, R. A., Hong, S. J., Seidlitz, J., … & Bernhardt, B. C. (2019). Microstructural and functional gradients are increasingly dissociated in transmodal cortices. PLoS biology, 17(5), e3000284, read the paper

2020

Bosch-Bayard J, Aubert-Vazquez E, Brown ST, Rogers C, Kiar G, Glatard T, Scaria L, Galan-Garcia L, Bringas-Vega ML, Virues-Alba T, Taheri A, Das S, Madjar C, Mohaddes Z, MacIntyre L, CHBMP, Evans AC and Valdes-Sosa PA (2020) A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra. Front. Neuroinform. 14:33 read the paper

Vandewouw, MM, Young, JM, Mossad, SI, et al. (2020) Mapping the neuroanatomical impact of very preterm birth across childhood. Hum Brain Mapp. 2020; 41: 892– 905 read the paper

Khundrakpam B, Vainik U, Gong J, Al-Sharif N, Bhutani N, Kiar G, Zeighami Y, Kirschner M, Luo C, Dagher A, Evans AC (2020) Neural correlates of polygenic risk score for autism spectrum disorders in general population. Brain Communications, Volume 2, Issue 2, fcaa092 read the paper

McLachlan K, Zhou D, Little G, Rasmussen C, Pei J, Andrew G, Reynolds JN and Beaulieu C (2020) Current Socioeconomic Status Correlates With Brain Volumes in Healthy Children and Adolescents but Not in Children With Prenatal Alcohol Exposure. Front. Hum. Neurosci. 14:223 read the paper

van der Plas E, Noakes TLS, Butchern DT, Weksberg R, Galin-Corini L, Wanstall EA, Te P, Hopf L, Guger S, Spiegler BJ, Hitzler J, Schachar RJ, Ito S, Nieman BJ (2020) Quantitative MRI outcomes in child and adolescent leukemia survivors: Evidence for global alterations in gray and white matter. NeuroImage: Clinical, Volume 28, 102428, ISSN 2213-1582 read the paper

Tremblay C, Abbasi N, Zeighami Y, Yau Y, Dadar M, Rahayel S, Dagher A (October 2020) Sex effects on brain structure in de novo Parkinson’s disease: a multimodal neuroimaging study. Brain, Volume 143, Issue 10, Pages 3052–3066 read the paper

Barry A, Bhagwat N, Misic B, Poline J-B & Greenwood CMT (2020) Asymmetric influence measure for high dimensional regression. Communications in Statistics – Theory and Methods read the paper

Rauh, S, Torgerson, T, Johnson, AL et al (2020) Reproducible and transparent research practices in published neurology research. Res Integr Peer Rev 5, 5 read the paper

Sanchez E, Arbour C, El-Khatib H, Marcotte K, Blais H, Baril A-A, Bedetti C, Descoteaux M, Lina J-M, Gilbert D, Carrier J, Gosselin N (2020) Sleep spindles are resilient to extensive white matter deterioration. Brain Communications, Volume 2, Issue 2, fcaa071 read the paper

Le Blanc, G, Jetté Pomerleau, V, McCarthy, J, Borroni, B, van Swieten, J, Galimberti, D, Sanchez-Valle, R, LaForce, R, Jr, Moreno, F, Synofzik, M, Graff, C, Masellis, M, Tartaglia, M.C, Rowe, J.B, Vandenberghe, R, Finger, E, Tagliavini, F, de Mendonça, A, Santana, I, Butler, C, Gerhard, A, Danek, A, Levin, J, Otto, M, Frisoni, G, Sorbi, S, Rohrer, JD, Ducharme, S (2020) Faster Cortical Thinning and Surface Area Loss in Presymptomatic and Symptomatic C9orf72 Repeat Expansion Adult Carriers. Ann Neurol, 88: 113-122 read the paper

Navarri, X, Afzali, MH, Lavoie, J, et al. (2020) How do substance use disorders compare to other psychiatric conditions on structural brain abnormalities? A cross-disorder meta-analytic comparison using the ENIGMA consortium findings. Hum Brain Mapp.; 1– 15 read the paper

Bells, S, Isabella, SL, Brien, DC, et al. (2020) Mapping neural dynamics underlying saccade preparation and execution and their relation to reaction time and direction errors. Hum Brain Mapp.; 41: 1934– 1949 read the paper

Gazula et al (2020) COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. Journal of Open Source Software, 5(54), 2166 read the paper

Kain M, Bodin M, Loury S, Chi Y, Louis J, Simon M, Lamy J, Barillot C and Dojat M (2020) Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies. Front. Neuroinform. 14:20 read the paper

Le Blanc G, Jetté Pomerleau V, McCarthy J, Borroni, B, van Swieten J, Galimberti D, Sanchez-Valle R, LaForce Jr R, Moreno F., Synofzik M., Graff C, Masellis M, Tartaglia MC, Rowe JB, Vandenberghe R, Finger E, Tagliavini F, de Mendonça A, Santana I, Butler C, Gerhard A, Danek A, Levin J, Otto M, Frisoni G, Sorbi S, Rohrer JD, Ducharme S (2020) Faster Cortical Thinning and Surface Area Loss in Presymptomatic and Symptomatic C9orf72 Repeat Expansion Adult Carriers. Ann Neurol, 88: 113-122 read the paper

Chauhan N and Choi BJ (December 2020) DNN based Classification of ADHD fMRI Data using Functional Connectivity Coefficient. International Journal of Fuzzy Logic and Intelligent Systems Vol. 20, No. 4, pp. 255-260 read the paper

Sanjeevan T, Hammill C, Brian J, Crosbie J, Schachar R, Kelley E, Liu X, Nicolson R, Iaboni A, Day Fragiadakis S, Ristic L, Lerch JP and Anagnostou E (2020) Exploring the Neural Structures Underlying the Procedural Memory Network as Predictors of Language Ability in Children and Adolescents with Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder. Front. Hum. Neurosci. 14:587019. read the paper

Redolfi A, De Francesco S, Palesi F, et al (2020) Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts. Front Neurol. 2020;11:1021. Published 2020 Sep 23 read the paper

Theaud G, Houde JC, Boré A, Rheault F, Morency F, Descoteaux M (2020) TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity. NeuroImage, Volume 218, 116889, ISSN 1053-8119 read the paper

2021

Liu M, Lepage C, Kim SY, Jeon S, Kim SH, Simon JP, Tanaka N, Yuan S, Islam T, Peng B, Arutyunyan K, Surento W, Kim J, Jahanshad N, Styner MA, Toga AW, Barkovich AJ, Xu D, Evans AC and Kim H (2021) Robust Cortical Thickness Morphometry of Neonatal Brain and Systematic Evaluation Using Multi-Site MRI Datasets. Front. Neurosci. 15:650082. read the paper

Valdes-Sosa, PA, Galan-Garcia, L, Bosch-Bayard, J et al. (2021) The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset. Sci Data 8, 45  read the paper

Mei J, Tremblay C, Stikov N, Desrosiers C, and Frasnelli J (15 February 2021) Differentiation of Parkinson’s disease and non-Parkinsonian olfactory dysfunction with structural MRI data. Proc. SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis, 115971E  read the paper

Iturria-Medina, Y, Carbonell, F, Assadi, A et al (2021) Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box. Commun Biol 4, 614 read the paper

Dockès J, Varoquaux G, Poline J-B (2021, September) Preventing dataset shift from breaking machine-learning biomarkers. GigaScience, Volume 10, Issue 9, giab055 read the paper

Valdes-Sosa PA, Evans AC, Valdes-Sosa MJ, Poo M-M. (2021) A call for international research on COVID-19-induced brain dysfunctions, National Science Review; nwab190, read the paper

OmidYeganeh M, Khalili-Mahani N, Bermudez P, Ross A, Lepage C, Vincent RD, Jeon S, Lewis LB, Das S, Zijdenbos AP, Rioux P, Adalat R, Van Eede MC, Evans AC. (2021) A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines, Front Neuroinform; 15:665560. doi: 10.3389/fninf.2021.665560. PMID: 34381348; PMCID: PMC8350777. read the paper

Bouchard AE, Dickler M, Renauld E, Lenglos C, Ferland F, Rouillard C, Leblond J, Fecteau S (2021, December) Concurrent Transcranial Direct Current Stimulation and Resting-State Functional Magnetic Resonance Imaging in Patients with Gambling Disorder, Brain Connectivity, Volume 11, Issue 10, Pages 815-821. read the paper

Albaugh MD, Ottino-Gonzalez J, Sidwell A, et al. (2021) Association of Cannabis Use During Adolescence With Neurodevelopment. JAMA Psychiatry; 78(9):1031–1040. read the paper

Bouchard AE, Dickler M, Renauld E, Lenglos C, Ferland F, Rouillard C, Leblond J, Fecteau S (2021) Brain morphometry in adults with gambling disorder, Journal of Psychiatric Research, Volume 141, Pages 66-73, ISSN 0022-3956, read the paper

Hammill C, Lerch JP, Taylor MJ, Ameis SH, Chakravarty MM, Szatmari P, Anagnostou E, Lai MC (2021) Quantitative and Qualitative Sex Modulations in the Brain Anatomy of Autism, Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Volume 6, Issue 9, Pages 898-909, ISSN 2451-9022, read the paper

Besson P, Parrish T, Katsaggelos AK, Bandt SK, (2021) Geometric deep learning on brain shape predicts sex and age, Computerized Medical Imaging and Graphics, Volume 91, 101939, ISSN 0895-6111,  read the paper

Giroud N, Pichora-Fuller MK , Mick P, Wittich W, Al-Yawer F, Rehan S, Orange JB, Phillips NA (2021) Hearing loss is associated with gray matter differences in older adults at risk for and with Alzheimer’s disease, Aging Brain, Volume 1, 100018, ISSN 2589-9589, read the paper

Rehan S, Giroud N, Al-Yawer F, Wittich W, Phillips N. (2021) Visual Performance and Cortical Atrophy in Vision-Related Brain Regions Differ Between Older Adults with (or at Risk for) Alzheimer’s Disease. J Alzheimers Dis; 83(3):1125-1148. doi: 10.3233/JAD-201521. PMID: 34397410. https://doi.org/10.3233/jad-201521

Zeighami Y, Evans AC (2021, May 4) Association vs. Prediction: The Impact of Cortical Surface Smoothing and Parcellation on Brain Age. Front Big Data; 4:637724. doi: 10.3389/fdata.2021.637724. PMID: 34027399; PMCID: PMC8131952. https://doi.org/10.3389/fdata.2021.637724

Pichet Binette, A., Theaud, G., Rheault, F., Roy, M., Collins, D. L., Levin, J., Mori, H., Lee, J. H., Farlow, M. R., Schofield, P., Chhatwal, J. P., Masters, C. L., Benzinger, T., Morris, J., Bateman, R., Breitner, J. C., Poirier, J., Gonneaud, J., Descoteaux, M., & Villeneuve, S. (2021, May 13). Bundle-specific associations between white matter microstructure and Aβ and tau pathology in preclinical Alzheimer’s disease, Elife, 10, read the paper

Spahr, A, Rosli, Z, Legault, M et al (2021) The LORIS MyeliNeuroGene rare disease database for natural history studies and clinical trial readiness, Orphanet J Rare Dis 16, 328, read the paper

Sokratous, M., Breza, M., Senkevich, K., Gan-Or, Z., Kalampokini, S., Spanaki, C., Provatas, A., Zaunmuktane, Z., Valotassiou, V., Georgoulias, P., Efthymiou, S., Hadjigeorgiou, G. M., Houlden, H., & Xiromerisiou, G. (2021) α-Synuclein (SNCA) A30G Mutation as a Cause of a Complex Phenotype Without Parkinsonism. Movement disorders, Official Journal of the Movement Disorder Society, 36(9), 2209–2212, read the paper

Gonneaud, J., Baria, A.T., Pichet Binette, A. et al. (2021) Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease, Nat Commun 12, 5346, read the paper

Guido I. Guberman, Sonja Stojanovski, Eman Nishat, Alain Ptito, Danilo Bzdok, Anne Wheeler, Maxime Descoteaux (2021) Multi-tract multi-symptom relationships in pediatric concussion, eLife , doi: 10.7554/eLife.70450, read the paper

2022

Das, S, Abou-Haidar, R, Rabalais, H et al (2022) The C-BIG Repository: an Institution-Level Open Science Platform. Neuroinform 20, 139–153. read the paper

Roskams-Edris D, and Stratton J (2022) The Making of an Open Science Institute, University of Toronto Medical Journal 99.1 Online version, PDF

DuPre E, Holdgraf C, Karakuzu A, Tetrel L, Bellec P, Stikov N, et al (2022) Beyond advertising: New infrastructures for publishing integrated research objects. PLoS Comput Biol 18(1): e1009651. read the paper

Senkevich K, Dworkind A, Yu E, Ahmad J, Ruskey J, Asayesh F, Spiegelman D, Fahn S, Waters C, Monchi O, Dauvilliers Y, Dupre N, Greenbaum L, Hassin S, Alcalay R, Gan-Or Z (May 2022) Rare Variants In ARSA Are Associated With Parkinson’s Disease, Neurology, 98 (18 Supplement) 104, P12-11.003, read the paper

Vega, MLB, Ibáñez IP, Razzaq FA, Zhang M, Chacón LM, Ren P, & Valdes-Sosa PA (2022) The Effect of Neuroepo on Cognition in Parkinson’s Disease Patients Is Mediated by Electroencephalogram Source Activity, Front. Neurosci., 16:841428, ISSN=1662-453X read the paper

Azizi Z, Shiba Y, Alipour P, Maleki F, Raparelli V, Norris C, Forghani R, Pilote L, El Emam, K, GOING-FWD investigators & GOING FWD Investigators (2022). Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data. BMJ open, 12(5), e050450. read the paper

Bosch-Bayard J, et al (2022) Early protein energy malnutrition impacts life-long developmental trajectories of the sources of EEG rhythmic activity. NeuroImage 254: 119144, read the paper

Picher-Martel V, Magnussen C, Blais M, Bubela T, Das S, Dionne A, Evans AC, Genge A, Greiner R, Iturria-Medina Y, Johnston W, Jones K, Kaneb H, Karamchandani J, Moradipoor S, Robertson J, Rogaeva E, Taylor DM, Vande Velde C, Yunusova Y, Zinman L, Kalra S & Dupré N (2022) CAPTURE ALS: the comprehensive analysis platform to understand, remedy and eliminate ALS, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Ahead-of-Print, 1-7, read the paper

Gagnon A, Grenier G, Bocti C, Gillet V, Lepage J-F, Baccarelli AA, Posner J, Descoteaux M, Takser L (2022) White matter microstructural variability linked to differential attentional skills and impulsive behavior in a pediatric population, Cerebral Cortex, bhac180, read the paper

Ottino-González, J, Garavan, H (2022) Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents Addiction; 117: 1312– 1325, read the paper

Tobe R.H., MacKay-Brandt A., Lim R. et al. (2022) A longitudinal resource for studying connectome development and its psychiatric associations during childhood. Sci Data 9, 300, read the paper

Jegou A., Roehri N., Medina Villalon S., Colombet B., Giusiano B., Bartolomei F., David O., Bénar C-G., (2022) BIDS Manager-Pipeline: A framework for multi-subject analysis in electrophysiology, Neuroscience Informatics, Volume 2, Issue 2, 100072, ISSN 2772-5286, read the paper

2023

Poline, JB., Das, S., Glatard, T. et al. (2023) Data and Tools Integration in the Canadian Open Neuroscience Platform. Sci Data 10, 189, read the paper  

S. Zabad, S, Gravel*, Y. Li* (2023) Fast and Scalable Polygenic Risk Modeling with Variational Inference, American Journal of Human Genetics, read the paper 

Kaur A, Behlouli H, Fouad MH, Rajah MN, Pilote L (2023) Sex Differences in the interplay between cerebral small vessel disease (CSVD) risk factors and cognitive decline: A UK Biobank Cohort Study, Journal of the American College of Cardiology, Volume 81, Issue 8, Supplement, 2023, Page 1663, ISSN 0735-1097, read the paper 

Albaugh, M. D., Owens, M. M., Juliano, A., Ottino-Gonzalez, J., Cupertino, R., Cao, Z., … & IMAGEN Consortium. (2023) Differential associations of adolescent versus young adult cannabis initiation with longitudinal brain change and behavior, Molecular psychiatry, 1-10, read the paper

Albaugh, M. D., Hudziak, J. J., Spechler, P. A., Chaarani, B., Lepage, C., Jeon, S., … & IMAGEN Consortium. (2023) Conduct problems are associated with accelerated thinning of emotion-related cortical regions in a community-based sample of adolescents, Psychiatry Research: Neuroimaging, 330, 111614, read the paper

Yang, C. C., Totzek, J. F., Lepage, M., & Lavigne, K. M. (2023), Sex differences in cognition and structural covariance-based morphometric connectivity: evidence from 28,000+ UK Biobank participants, Cerebral Cortex, bhad286, read the paper

Valevicius D., Beck N., Kasper L., Boroday S., Bayer J., Rioux P., Caron B., Adalat R., Evans A C., Khalili-Mahani N. (2023) Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN, Front. Neuroinform., 27 September 2023, Volume 17 – 2023, read the paper

Yu E., Larivière R., Thomas R. A., Liu L., Senkevich K., Rahayel S., Trempe J-F., Fon E. A., Gan-Or Z., Machine learning nominates the inositol pathway and novel genes in Parkinson’s disease, Brain, 2023; awad345, read the paper 

Dorion, M. F., Yaqubi, M., Senkevich, K., Kieran, N. W., MacDonald, A., Chen, C. X. Q., … & Healy, L. M. (2023) MerTK is a mediator of alpha-synuclein fibril uptake by human microglia, Brain, awad298, read the paper

2024

Bernier A., Knoppers B.M., Bermudez P., Beauvais MJS, Thorogood A., CONP Consortium , Evans A. (2024) Open Data governance at the Canadian Open Neuroscience Platform (CONP): From the Walled Garden to the Arboretum, GigaScience, Volume 13, 2024, giad114, read the paper 

Raguž M, Marčinković P, Chudy H, Orešković D, Lakić M, Dlaka D, Katavić N, Rački V, Vuletić V, Chudy D (2024) Decreased brain volume may be associated with the occurrence of peri-lead edema in Parkinson’s disease patients with deep brain stimulation, Parkinsonism & Related Disorders, Volume 121, read the paper

2019

Royer, J., Paquola, C., Larivière, S., de Wael, R. V., Tavakol, S., Lowe, A. J., … & Bernhardt, B. C. (2019). Myeloarchitecture gradients in the human insula serve as blueprints for its diverse connectivity and function. bioRxiv, 839837, read the paper

Giroud N, Pichora-Fuller MK , Mick P, Wittich W, Al-Yawer F , Rehan S, Orange JB, Phillips NA (2020) Hearing loss is associated with gray matter differences in older adults at risk for and with Alzheimer’s disease. medRxiv 2020.10.07.20208017 read the paper

Makowski, C. (2019). The centrality of both hippocampal-cortical structure and memory to negative symptoms after a First Episode of Psychosis. McGill University (Canada), read the paper

2020

Lepage C, Wagstyl K, Jung B, Seidlitz J, Sponheim C, Ungerleider L, Wang X, Evans AC, Messinger A  (2020) CIVET-Macaque: an automated pipeline for MRI-based cortical surface generation and cortical thickness in macaques. bioRxiv 2020.08.04.237149 read the paper

Besson P, Parrish T, Katsaggelos AK, S. Bandt K (2020) Geometric deep learning on brain shape predicts sex and age. bioRxiv 2020.06.29.177543 read the paper

Valdes-Sosa PA, Galan L, Bosch-Bayard J, Bringas Vega ML, Vazquez EA, Das S, Alba TV, Madjar C, Mohades Z, MacIntyre LC, Rogers C, Brown S, Valdes Urrutia L, Rodriguez Gil I, Evans AC, Valdes Sosa MJ (2020) The Cuban Human Brain Mapping Project population based normative EEG, MRI, and Cognition dataset. bioRxiv 2020.07.08.194290 read the paper

Fraenz C, Metzen D, Merz CJ, Selpien H, Friedrich P, Ocklenburg S, Axmacher N., Genç E (2020) Fear learning sculpts functional brain connectivity at rest beyond the traditional fear network in humans. bioRxiv 2020.05.26.115840 read the paper

Bhagwat N, Barry A, Dickie EW, Brown ST, Devenyi GA, Hatano K, DuPre E, Dagher A, Chakravarty M, Greenwood CMT, Misic B, Kennedy DN, Poline J-B (2020) Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses. bioRxiv 2020.05.22.100180 read the paper

Zeighami Y, Evans AC. (2020) Association versus Prediction: the impact of cortical surface smoothing and parcellation on brain age. bioRxiv 2020.11.29.403105 read the paper

Tremblay-Mercier J, Madjar C, Das S, Pichet Binette A, Dyke SOM, Étienne P, Lafaille-Magnan ME, Remz J, Bellec P, Collins L, Rajah N, Bohbot V, Leoutsakos JM, Iturria-Medina Y, Kat J, Hoge RD, Gauthier S, Tardif CL, M. Chakravarty M, Poline J-B, Rosa-Neto P, Evans AC, Villeneuve S, Poirier J, Breitner JCS, (2020) the PREVENT-AD Research Group Open Science Datasets from PREVENT-AD, a Longitudinal Cohort of Pre-symptomatic Alzheimer’s Disease. bioRxiv 2020.03.04.976670 read the paper

Cherkasova MV, Fu JF, Jarrett M, Johnson P, Abel S, Tam R, Rauscher A, Sossi V, Kolind S, Li D, Sadovnick AD, Machan L, Girard JM, Emond F, Vosoughi R, Traboulsee A, Stoessl AJ (2020) Cortical morphology predicts placebo response in multiple sclerosis, Mariya V. Cherkasova. bioRxiv 825638 read the paper

Funck, T (2020) High-Resolution Neurotransmitter Receptor Mapping: From in Vitro Autoradiography to in Vivo PET. McGill University (Canada). ProQuest Dissertations Publishing, 28267147 read the paper

2021

Owens, Max M, et al (2021, August 9) Bayesian Causal Network Modeling Suggests Adolescent Cannabis Use Promotes Accelerated Prefrontal Cortical Thinning. PsyArXiv, Web. read the paper

Lavigne KM, et al (2021 April 28) General and Specific Cortical Thickness-cognition Associations in First-episode Psychosis, PsyArXiv, Web. Preprint: https://doi.org/10.31234/osf.io/ye3jx

Guberman GI, Stojanovski S, Nishat E, Ptito A, Bzdok D, Wheeler A, Descoteaux M (2021) Multi-tract multi-symptom relationships in pediatric concussion, medRxiv 2021.04.01.21254814; doi: https://doi.org/10.1101/2021.04.01.21254814

Khundrakpam B, Bhutani N, Vainik U, Al-Sharif N, Dagher A, White T, Evans AC (2021) A critical role of brain network architecture in a continuum model of autism spectrum disorders spanning from healthy individuals with genetic liability to individuals with ASD, bioRxiv 2021.09.03.458876; doi: https://doi.org/10.1101/2021.09.03.458876

Zhang W, Najafabadi H, Li H (2021) SparsePro: an efficient genome-wide fine-mapping method integrating summary statistics and functional annotations, bioRxiv 2021.10.04.463133; read the paper

M. Riedel et al (2021) Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures, 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 76-85, read the paper

Potvin O, Dieumegarde L, Duchesne S  (2021) NOMIS: Quantifying morphometric deviation from normality over the lifetime in the adult human brain. Alzheimer’s Disease Neuroimaging Initiative, CIMA-Q, bioRxiv 2021.01.25.428063 read the paper

Merz EC, Strack J, Hurtado H, Vainik U, Thomas M, Evans AC, Khundrakpam B (2021) Educational Attainment Polygenic Scores, Socioeconomic Factors, and Cortical Structure in Children and Adolescents, bioRxiv 2021.09.17.460810; doi: https://doi.org/10.1101/2021.09.17.460810

2022

García C, Arturo Orellana García C, et al. (2022) BrainSSys: Plataforma para el almacenamiento, estructuración, estandarización y análisis de datos de neurociencias. Conference presentation: read the paper

Suárez Morales M and Arturo Orellana García C (2022) Herramienta para la gestión de colas de procesamientos de datos de neurociencias en HPC. Conference presentation: read the paper

Sanz-Robinson J, Jahanpour A, Phillips N, Glatard T, Poline J-B (2022) NeuroCI: Continuous Integration of Neuroimaging Results Across Software Pipelines and Datasets, bioRxiv 2022.05.30.494062; doi: https://doi.org/10.1101/2022.05.30.494062 (preprint)

Fuentes González J.E., Arturo Orellana García C. (2022) Propuesta de diseño de arquitectura de software para la gestión, análisis y procesamiento de datos de neurociencia. Conference presentation: read the paper

Yang C.C., Totzek J.F. ,Lepage M., Lavigne K.M. (2022) Normative Sex Differences in Cognition and Morphometric Brain Connectivity: Evidence from 30,000+ UK Biobank Participants bioRxiv 2022.10.12.511938; doi: https://doi.org/10.1101/2022.10.12.511938

Pigeau G., Costantino M., Devenyi G.A., Bussy A., Parent O., Chakravarty M.M. (2022) The impact of study design choices on significance and generalizability of canonical correlation analysis in neuroimaging studies, bioRxiv 2022.12.14.520275; doi: https://doi.org/10.1101/2022.12.14.520275  (preprint)

Mendelson, D., Mizrahi, R., Lepage, M., & Lavigne, K. M. (2022, December 20). C-reactive protein and cognition: Mediation analyses with brain morphology in the UK Biobank, PsyArXiv, read the paper

A. Nooshin (2022) Neuroanatomical correlates of polygenic risk for Parkinson’s Disease, medRxiv, read the paper

2023

Sitsen M. E. (2023, January 10) Influence of central neuraxial blockade on anesthetic pharmacology and brain function, Retrieved from https://hdl.handle.net/1887/3505777 (Doctoral Thesis, Publisher’s version)

Senkevich, K., Beletskaia, M., Dworkind, A., Yu, E., Ahmad, J., Ruskey, J. A., … & Gan-Or, Z. (2023). Association of rare variants in ARSA with Parkinson′ s disease, medRxiv, 2023-03, read the paper

Pigeau, S. (2023) Canonical correlation analysis methods for examining brain structure and behaviour (Thesis)

Senkevich, K., Bandres Ciga, S., Cistern-Garcia, A., Yu, E., Bustos, B. I., Krohn, L., … & Gan-Or, Z. (2023) Genome-wide association study stratified by MAPT haplotypes identifies potential novel loci in Parkinson′ s disease, medRxiv, 2023-04, read the paper

Parent, O., Bussy, A., Devenyi, G. A., Pigeau, G., Costantino, M., Tardif, C. L., Dadar, M., & Chakravarty, M. (May 5th 2023) Spatial clustering of white matter hyperintensities based on their microstructural properties, OHBM Conference Presentation & Poster (link available soon) 

V. S. FONOV, D. L. Collins (2023) How many brain scans are enough?, OHBM Abstract, (link available soon)

Zhang, W., Lu, T., Sladek, R., Li, Y., Najafabadi, H. S., & Dupuis, J. (2023) SharePro: an accurate and efficient genetic colocalization method accounting for multiple causal signals, bioRxiv, 2023-07, read the paper

Yu, E., Lariviere, R., Thomas, R. A., Liu, L., Senkevich, K., Rahayel, S., … & Gan-Or, Z. (2023) Identification of novel variants, genes and pathways potentially linked to Parkinson’s disease using machine learning, medRxiv, 2023-06, read the paper

Senkevich, K., Liu, L., Alvarado, C. X., Leonard, H. L., Nalls, M. A., & Gan-Or, Z. (2023) Genetics of NLRP3 suggests lack of involvement and inefficient druggability in Parkinson′ s disease, medRxiv, 2023-09, read the paper

Yu, E., Lariviere, R., Thomas, R. A., Liu, L., Senkevich, K., Rahayel, S., … & Gan-Or, Z. (2023) Identification of novel variants, genes and pathways potentially linked to Parkinson’s disease using machine learning, medRxiv, 2023-06, read the paper

Jones-Tabah, J., He, K., Senkevich, K., Karpilovsky, N., Deyab, G., Cousineau, Y., … & Fon, E. A. (2023) The Parkinson’s disease risk gene cathepsin B promotes fibrillar alpha-synuclein clearance, lysosomal function and glucocerebrosidase activity in dopaminergic neurons, bioRxiv, 2023-11, read the paper