| Keyword search (4,164 papers available) | ![]() |
"Glatard T" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Hierarchical Storage Management in User Space for Neuroimaging Applications | Hayot-Sasson V; Glatard T; | 41432812 ENCS |
| 2 | Open-source platforms to investigate analytical flexibility in neuroimaging | Sanz-Robinson J; Wang M; McPherson B; Chatelain Y; Kennedy D; Glatard T; Poline JB; | 40800896 ENCS |
| 3 | An analysis of performance bottlenecks in MRI preprocessing | Dugré M; Chatelain Y; Glatard T; | 40072903 ENCS |
| 4 | Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study | Germani E; Bhagwat N; Dugré M; Gau R; Montillo AA; Nguyen KP; Sokolowski A; Sharp M; Poline JB; Glatard T; | 39982930 ENCS |
| 5 | Registered report: Age-preserved semantic memory and the CRUNCH effect manifested as differential semantic control networks: An fMRI study | Haitas N; Dubuc J; Massé-Leblanc C; Chamberland V; Amiri M; Glatard T; Wilson M; Joanette Y; Steffener J; | 38917084 ENCS |
| 6 | Longitudinal brain structure changes in Parkinson's disease: A replication study | Sokolowski A; Bhagwat N; Chatelain Y; Dugré M; Hanganu A; Monchi O; McPherson B; Wang M; Poline JB; Sharp M; Glatard T; | 38295031 ENCS |
| 7 | Numerical stability of DeepGOPlus inference | Gonzalez Pepe I; Chatelain Y; Kiar G; Glatard T; | 38285635 ENCS |
| 8 | Data and Tools Integration in the Canadian Open Neuroscience Platform | Poline JB; Das S; Glatard T; Madjar C; Dickie EW; Lecours X; Beaudry T; Beck N; Behan B; Brown ST; Bujold D; Beauvais M; Caron B; Czech C; Dharsee M; Dugré M; Evans K; Gee T; Ippoliti G; Kiar G; Knoppers BM; Kuehn T; Le D; Lo D; Mazaheri M; MacFarlane D; Muja N; O' Brien EA; O' Callaghan L; Paiva S; Park P; Quesnel D; Rabelais H; Rioux P; Legault M; Tremblay-Mercier J; Rotenberg D; Stone J; Strauss T; Zaytseva K; Zhou J; Duchesne S; Khan AR; Hill S; Evans AC; | 37024500 ENCS |
| 9 | Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks | Kiar G; Chatelain Y; de Oliveira Castro P; Petit E; Rokem A; Varoquaux G; Misic B; Evans AC; Glatard T; | 34724000 ENCS |
| 10 | Multiple sclerosis lesions segmentation from multiple experts: the MICCAI 2016 challenge dataset | Commowick O; Kain M; Casey R; Ameli R; Ferré JC; Kerbrat A; Tourdias T; Cervenansky F; Camarasu-Pop S; Glatard T; Vukusic S; Edan G; Barillot C; Dojat M; Cotton FI; | 34563682 ENCS |
| 11 | The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging | Paquola C; Royer J; Lewis LB; Lepage C; Glatard T; Wagstyl K; DeKraker J; Toussaint PJ; Valk SL; Collins DL; Khan A; Amunts K; Evans AC; Dickscheid T; Bernhardt BC; | 34431476 IMAGING |
| 12 | An analysis of security vulnerabilities in container images for scientific data analysis | Kaur B; Dugré M; Hanna A; Glatard T; | 34080631 ENCS |
| 13 | File-based localization of numerical perturbations in data analysis pipelines. | Salari A, Kiar G, Lewis L, Evans AC, Glatard T | 33269388 ENCS |
| 14 | A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. | Khannouz M; Glatard T; | 33202905 ENCS |
| 15 | Comparing perturbation models for evaluating stability of neuroimaging pipelines. | Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T | 32831546 IMAGING |
| 16 | A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. | Dehghani A, Sarbishei O, Glatard T, Shihab E | 31752158 ENCS |
| 17 | Cyberinfrastructure for Open Science at the Montreal Neurological Institute. | Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoulos P, Rioux P, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Fonov VS, Milot S, Leppert I, 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 | 28111547 IMAGING |
| 18 | Best practices in data analysis and sharing in neuroimaging using MRI. | Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, White T, Yeo BT | 28230846 IMAGING |
| 19 | The first MICCAI challenge on PET tumor segmentation. | Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky F, Girard P, Glatard T, Kain M, Yao Y, Barillot C, Kirov A, Visvikis D | 29268169 IMAGING |
| 20 | Boutiques: a flexible framework to integrate command-line applications in computing platforms. | Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Brown ST, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da Silva R, Flandin G, Girard P, Gorgolewski KJ, Guttmann CRG, Hayot-Sasson V, Quirion PO, Rioux P, Rousseau MÉ, Evans AC | 29718199 ENCS |
| 21 | Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. | Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Lladó X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C | 30209345 ENCS |
| 22 | A Serverless Tool for Platform Agnostic Computational Experiment Management. | Kiar G, Brown ST, Glatard T, Evans AC | 30890927 ENCS |
| Title: | Registered report: Age-preserved semantic memory and the CRUNCH effect manifested as differential semantic control networks: An fMRI study | ||||
| Authors: | Haitas N, Dubuc J, Massé-Leblanc C, Chamberland V, Amiri M, Glatard T, Wilson M, Joanette Y, Steffener J | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38917084/ | ||||
| DOI: | 10.1371/journal.pone.0289384 | ||||
| Publication: | PloS one | ||||
| Keywords: | |||||
| PMID: | 38917084 | Category: | Date Added: | 2024-06-25 | |
| Dept Affiliation: |
ENCS
1 Laboratory of Communication and Aging, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada. 2 Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada. 3 Faculty of Arts and Sciences, Université de Montréal, Montreal, Quebec, Canada. 4 Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada. 5 Centre de Recherche CERVO - CIUSSS de la Capitale-Nationale et Département de Réadaptation, Université Laval, Quebec City, Quebec, Canada. 6 Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada. |
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Description: |
Semantic memory representations are generally well maintained in aging, whereas semantic control is thought to be more affected. To explain this phenomenon, this study tested the predictions of the Compensation-Related Utilization of Neural Circuits Hypothesis (CRUNCH), focusing on task demands in aging as a possible framework. The CRUNCH effect would manifest itself in semantic tasks through a compensatory increase in neural activation in semantic control network regions but only up to a certain threshold of task demands. This study compares 39 younger (20-35 years old) with 39 older participants (60-75 years old) in a triad-based semantic judgment task performed in an fMRI scanner while manipulating task demand levels (low versus high) through semantic distance. In line with the CRUNCH predictions, differences in neurofunctional activation and behavioral performance (accuracy and response times) were expected in younger versus older participants in the low- versus high-demand conditions, which should be manifested in semantic control Regions of Interest (ROIs). Our older participants had intact behavioral performance, as proposed in the literature for semantic memory tasks (maintained accuracy and slower response times (RTs)). Age-invariant behavioral performance in the older group compared to the younger one is necessary to test the CRUNCH predictions. The older adults were also characterized by high cognitive reserve, as our neuropsychological tests showed. Our behavioral results confirmed that our task successfully manipulated task demands: error rates, RTs and perceived difficulty increased with increasing task demands in both age groups. We did not find an interaction between age group and task demand, or a statistically significant difference in activation between the low- and high-demand conditions for either RTs or accuracy. As for brain activation, we did not find the expected age group by task demand interaction, or a significant main effect of task demand. Overall, our results are compatible with some neural activation in the semantic network and the semantic control network, largely in frontotemporoparietal regions. ROI analyses demonstrated significant effects (but no interactions) of task demand in the left and right inferior frontal gyrus, the left posterior middle temporal gyrus, the posterior inferior temporal gyrus and the prefrontal gyrus. Overall, our test did not confirm the CRUNCH predictions. |



