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PubMed Publications| Keyword search (4,164 papers available) |  |
"guide" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Robust and Compact Electrostatic Comb Drive Arrays for High-Performance Monolithic Silicon Photonics | Fasihanifard M; Packirisamy M; | 41156349 ENCS |
| 2 | Wideband Dual-Polarized PRGW Antenna Array with High Isolation for Millimeter-Wave IoT Applications | Mousavirazi Z; Ali MMM; Sebak AR; Denidni TA; | 40968922 ENCS |
| 3 | How do we know that they actually use it? Exploring measures of adherence to stress management strategies in university students: A systematic review | Bastien L; Cho S; Petrovic J; Khoury B; Bloom E; Heath N; | 40895119 PSYCHOLOGY |
| 4 | ASSOBRAFIR clinical practice guidelines in cardiovascular physical therapy: Exercise-based interventions in outpatient rehabilitation programs for heart failure | Karsten M; Gardenghi G; Arruda ACT; Catai AM; Vieira AM; Stein C; de Araujo CLP; Pereira DAG; Matte DL; da Silva FMF; Guimarães FS; Ghisi GLM; Chiappa GRS; Sbruzzi G; Cipriano GFB; Ribeiro GDS; Milani JGPO; Neves LMT; Calegari L; Morais LA; Capalonga L; Deresz LF; Lago PD; Campos PS; Macedo RM; Plentz RDM; Menezes SLS; Filho VPPS; Silva VZM; Carvalho VO; Medeiros WM; Lanza FC; Cipriano G; | 40857977 HKAP |
| 5 | Assessment of cognitive load in the context of neurosurgery | Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL; | 40650801 PERFORM |
| 6 | Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review | Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; | 40428106 ENCS |
| 7 | PreVISE: an efficient virtual reality system for SEEG surgical planning | Spiegler P; Abdelsalam H; Hellum O; Hadjinicolaou A; Weil AG; Xiao Y; | 39735694 ENCS |
| 8 | Dual-Band Antenna Array Fed by Ridge Gap Waveguide with Dual-Periodic Interdigital-Pin Bed of Nails | Chen B; Chen X; Cheng X; Da Y; Liu X; Gao S; Kishk AA; | 39204813 ENCS |
| 9 | A decade of progress: bringing mixed reality image-guided surgery systems in the operating room | Asadi Z; Asadi M; Kazemipour N; Léger É; Kersten-Oertel M; | 38794834 ENCS |
| 10 | Martin Buber: guide for a psychology of suffering | Tweed RG; Bergen TP; Castaneto KK; Ryder AG; | 37251029 PSYCHOLOGY |
| 11 | Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 36047034 PSYCHOLOGY |
| 12 | Efficacy of a minimally guided internet treatment for alcohol misuse and emotional problems in young adults: Results of a randomized controlled trial | Frohlich JR; Rapinda KK; Schaub MP; Wenger A; Baumgartner C; Johnson EA; O' Connor RM; Vincent N; Blankers M; Ebert DD; Hadjistavropoulos HD; Mackenzie CS; Wardell JD; Augsburger M; Goldberg JO; Keough MT; | 34938848 PSYCHOLOGY |
| 13 | Towards a better understanding of deep convolutional neural network processes for recognizing organic chemicals of environmental concern | Sun X; Zhang X; Wang L; Li Y; Muir DCG; Zeng EY; | 34388923 CHEMBIOCHEM |
| 14 | Improving 3D ultrasound prostate localisation in radiotherapy through increased automation of interfraction matching. | Grimwood A, Rivaz H, Zhou H, McNair HA, Yakubowski K, Bamber JC, Tree AC, Harris EJ | 32387546 PHYSICS |
| 15 | 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 |
| 16 | Implementing deprescribing guidelines into frontline practice: Barriers and facilitators. | Conklin J, Farrell B, Suleman S | 30241874 CONCORDIA |
| 17 | Deprescribing guidelines: An international symposium on development, implementation, research and health professional education. | Farrell B, Conklin J, Dolovich L, Irving H, Maclure M, McCarthy L, Moriarty F, Pottie K, Raman-Wilms L, Reeve E, Thompson W | 30241875 CONCORDIA |
| 18 | Deprescribing: Future directions for research. | Thompson W, Reeve E, Moriarty F, Maclure M, Turner J, Steinman MA, Conklin J, Dolovich L, McCarthy L, Farrell B | 30241876 CONCORDIA |
| 19 | Characteristics of Canadian Youth Adhering to Physical Activity and Screen Time Recommendations. | Fitzpatrick C, Burkhalter R, Asbridge M | 31630617 PERFORM |
| 20 | Quantifying attention shifts in augmented reality image-guided neurosurgery. | Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M | 29184663 PERFORM |
| 21 | Distance sonification in image-guided neurosurgery. | Plazak J, Drouin S, Collins L, Kersten-Oertel M | 29184665 PERFORM |
| 22 | 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 |
| 23 | 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 DA, Kersten-Oertel M, Drouin S, Collins 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 load; Data visualization; EEG; Human-computer interaction; Image-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. |
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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. |
