Keyword search (4,164 papers available)

"Collins DL" Authored Publications:

Title Authors PubMed ID
1 The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Fajardo Valdez A; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterbe 41020412
SOH
2 The PREVENT-AD cohort: accelerating Alzheimer s disease research and treatment in Canada and beyond Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Valdez AF; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterberg H; S 40778177
PSYCHOLOGY
3 Assessment of cognitive load in the context of neurosurgery Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL; 40650801
PERFORM
4 A database of magnetic resonance imaging-transcranial ultrasound co-registration Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y; 39920905
SOH
5 Use of lecanemab and donanemab in the Canadian healthcare system: Evidence, challenges, and areas for future research Smith EE; Phillips NA; Feldman HH; Borrie M; Ganesh A; Henri-Bhargava A; Desmarais P; Frank A; Badhwar A; Barlow L; Bartha R; Best S; Bethell J; Bhangu J; Black SE; Bocti C; Bronskill SE; Burhan AM; Calon F; Camicioli R; Campbell B; Collins DL; Dadar M; DeMarco ML; Ducharme S; Duchesne S; Einstein G; Fisk JD; Gawryluk JR; Grossman L; Ismail Z; Itzhak I; Joshi M; Harrison A; Kroger E; Kumar S; Laforce R; Lanctot KL; Lau M; Lee L; Masellis M; Massoud F; Mitchell SB; Montero-Odasso M; Myers Barnett K; Nygaard HB; Pasternak SH; Peters J; Rajah MN; Robillard JM; Rockwood K; Rosa-Neto P; Seitz DP; Soucy JP; Trenaman SC; Wellington CL; Zadem A; Chertkow H; 39893139
CONCORDIA
6 Design, manufacturing, and multi-modal imaging of stereolithography 3D printed flexible intracranial aneurysm phantoms Yalman A; Jafari A; Léger É; Mastroianni MA; Teimouri K; Savoji H; Collins DL; Kadem L; Xiao Y; 39546636
BIOLOGY
7 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING
8 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
9 MARIN: an open-source mobile augmented reality interactive neuronavigation system. Léger É; Reyes J; Drouin S; Popa T; Hall JA; Collins DL; Kersten-Oertel M; 32323206
PERFORM
10 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
11 Dehydroepiandrosterone impacts working memory by shaping cortico-hippocampal structural covariance during development. Nguyen TV, Wu M, Lew J, Albaugh MD, Botteron KN, Hudziak JJ, Fonov VS, Collins DL, Campbell BC, Booij L, Herba C, Monnier P, Ducharme S, McCracken JT 28946055
PSYCHOLOGY
12 Cognitive load associations when utilizing auditory display within image-guided neurosurgery. Plazak J, DiGiovanni DA, Collins DL, Kersten-Oertel M 30997635
ENCS
13 Quantifying attention shifts in augmented reality image-guided neurosurgery. Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M 29184663
PERFORM
14 Structural Brain Alterations Associated with Rapid Eye Movement Sleep Behavior Disorder in Parkinson's Disease. Boucetta S, Salimi A, Dadar M, Jones BE, Collins DL, Dang-Vu TT 27245317
PERFORM
15 Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery. Rivaz H, Collins DL 25373447
PERFORM
16 A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort. Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL 28491942
PERFORM
17 Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases. Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL 29392162
PERFORM
18 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:Assessment of cognitive load in the context of neurosurgery
Authors:Di Giovanni DAKersten-Oertel MDrouin SCollins DL
Link:https://pubmed.ncbi.nlm.nih.gov/40650801/
DOI:10.1007/s11548-025-03478-y
Publication:International journal of computer assisted radiology and surgery
Keywords:Cognitive loadData visualizationEEGHuman-computer interactionImage-guided surgery
PMID:40650801 Category: Date Added:2025-07-13
Dept Affiliation: PERFORM
1 Integrated Program in Neuroscience at McGill University, Montreal, Canada. daniel.digiovanni@mail.mcgill.ca.
2 Department of Computer Science, PERFORM Center, Concordia University, Montreal, Canada.
3 Software and Information Technology Engineering, École de Technologie Supérieure, Montreal, QC, Canada.
4 Department of Biomedical Engineering and Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.

Description:

Purpose: Image-guided neurosurgery demands precise depth perception to minimize cognitive burden during intricate navigational tasks. Existing evaluation methods rely heavily on subjective user feedback, which can be biased and inconsistent. This study uses a physiological measure via electroencephalography (EEG), to quantify cognitive load when using novel dynamic depth-cue visualizations. By comparing dynamic versus static rendering techniques, we aim to establish an objective framework for assessing and validating visualization strategies beyond traditional performance metrics.

Methods: Twenty participants (experts in brain imaging) navigated to specified targets within a computed tomography angiography (CTA) volume using a tracked 3D pointer. We implemented three visualization methods (shading, ChromaDepth, aerial perspective) in both static and dynamic modes, randomized across 80 trials per subject. Continuous EEG was recorded via a Muse headband; raw signals were preprocessed and theta-band (4-7 Hz) power extracted for each trial. A two-way repeated measures ANOVA assessed the effects of visualization type and dynamic interaction on theta power.

Results: Dynamic visualization conditions yielded lower mean theta-band power compared to static conditions (? = 0.057 V2/Hz; F (1,19) = 6.00, p = 0.024), indicating reduced neural markers of cognitive load. No significant main effect was observed across visualization methods, nor their interaction with dynamic mode. These findings suggest that real-time feedback from pointer-driven interactions may alleviate mental effort regardless of the specific depth cue employed.

Conclusion: Our exploratory results demonstrate the feasibility of using consumer-grade EEG to provide objective insights into cognitive load for surgical visualization techniques. Although limited by non-surgeon participants, the observed theta-power reductions under dynamic conditions support further investigation. Future work should correlate EEG-derived load measures with performance outcomes, involve practising neurosurgeons, and leverage high-density EEG or AI-driven adaptive visualization to refine and validate these preliminary findings.





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