| Keyword search (4,163 papers available) | ![]() |
"Electroencephalography" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Sound degradation type differentially affects neural indicators of cognitive workload and speech tracking | Gagné N; Greenlaw KM; Coffey EBJ; | 40412301 PSYCHOLOGY |
| 2 | Phase-Amplitude Coupling of NREM Sleep Oscillations Shows Between-Night Stability and is Related to Overnight Memory Gains | Cross N; O' Byrne J; Weiner OM; Giraud J; Perrault AA; Dang-Vu TT; | 40214027 PERFORM |
| 3 | PreVISE: an efficient virtual reality system for SEEG surgical planning | Spiegler P; Abdelsalam H; Hellum O; Hadjinicolaou A; Weil AG; Xiao Y; | 39735694 ENCS |
| 4 | Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology | Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B; | 39608298 SOH |
| 5 | A protocol for trustworthy EEG decoding with neural networks | Borra D; Magosso E; Ravanelli M; | 39549492 ENCS |
| 6 | SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals | Borra D; Paissan F; Ravanelli M; | 39265481 ENCS |
| 7 | The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study | Jourde HR; Merlo R; Brooks M; Rowe M; Coffey EBJ; | 37675803 CONCORDIA |
| 8 | Dynamic networks differentiate the language ability of children with cochlear implants | Koirala N; Deroche MLD; Wolfe J; Neumann S; Bien AG; Doan D; Goldbeck M; Muthuraman M; Gracco VL; | 37409105 PSYCHOLOGY |
| 9 | Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data | Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; | 37385392 IMAGING |
| 10 | Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy | Frauscher B; Bénar CG; Engel JJ; Grova C; Jacobs J; Kahane P; Wiebe S; Zjilmans M; Dubeau F; | 37119580 PERFORM |
| 11 | Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain | Ocay DD; Teel EF; Luo OD; Savignac C; Mahdid Y; Blain-Moraes S; Ferland CE; | 36601627 HKAP |
| 12 | Alpha and beta neural oscillations differentially reflect age-related differences in bilateral coordination | Shih PC; Steele CJ; Nikulin VV; Gundlach C; Kruse J; Villringer A; Sehm B; | 33979705 PSYCHOLOGY |
| 13 | Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography. | Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B | 33450578 PERFORM |
| 14 | PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/ Brain-Computer Interface Research | Parent M; Albuquerque I; Tiwari A; Cassani R; Gagnon JF; Lafond D; Tremblay S; Falk TH; | 33363449 PERFORM |
| 15 | Source imaging of deep-brain activity using the regional spatiotemporal Kalman filter | Hamid L; Habboush N; Stern P; Japaridze N; Aydin Ü; Wolters CH; Claussen JC; Heute U; Stephani U; Galka A; Siniatchkin M; | 33250282 PERFORM |
| 16 | Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy. | Heers M, Chowdhury RA, Hedrich T, Dubeau F, Hall JA, Lina JM, Grova C, Kobayashi E | 25609211 PERFORM |
| 17 | Sleep spindles may predict response to cognitive-behavioral therapy for chronic insomnia | Dang-Vu TT; Hatch B; Salimi A; Mograss M; Boucetta S; O' Byrne J; Brandewinder M; Berthomier C; Gouin JP; | 29157588 PERFORM |
| Title: | PreVISE: an efficient virtual reality system for SEEG surgical planning | ||||
| Authors: | Spiegler P, Abdelsalam H, Hellum O, Hadjinicolaou A, Weil AG, Xiao Y | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39735694/ | ||||
| DOI: | 10.1007/s10055-024-01088-8 | ||||
| Publication: | Virtual reality | ||||
| Keywords: | Image-guided-surgery; Neurosurgical planning; Stereoelectroencephalography; Virtual reality; | ||||
| PMID: | 39735694 | Category: | Date Added: | 2024-12-30 | |
| Dept Affiliation: |
ENCS
1 Department of Computer Science and Software Engineering, Concordia University, Montreal, Québec Canada. 2 Department of Pediatrics, Division of Neurology, Sainte-Justine University Hospital Center, Montreal, Québec Canada. 3 Department of Surgery, Division of Neurosurgery, Sainte-Justine University Hospital Center, Montreal, Québec Canada. 4 Department of Surgery, University of Montreal Hospital Center (CHUM), Montreal, Québec Canada. |
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Description: |
Epilepsy is a neurological disorder characterized by recurring seizures that can cause a wide range of symptoms. Stereo-electroencephalography (SEEG) is a diagnostic procedure where multiple electrodes are stereotactically implanted within predefined brain regions to identify the seizure onset zone, which needs to be surgically removed or disconnected to achieve remission of focal epilepsy. This procedure is complex and challenging due to two main reasons. First, as electrode placement requires good accuracy in desired brain regions, excellent knowledge and understanding of the 3D brain anatomy is required. Second, as typically multiple SEEG electrodes need to be implanted, the positioning of intracerebral electrodes must avoid critical structures (e.g., blood vessels) to ensure patient safety. Traditional SEEG surgical planning relies on 2D display of multi-contrast volumetric medical imaging data, and places a high cognitive demand for surgeons' spatial understanding, resulting in potentially sub-optimal surgical plans and extensive planning time (~ 15 min per electrode). In contrast, virtual reality (VR) presents an intuitive and immersive approach that can offer more intuitive visualization of 3D data as well as potentially enhanced efficiency for neurosurgical planning. Unfortunately, existing VR systems for SEEG surgery only focus on the visualization of post-surgical scans to confirm electrode placement. To address the need, we introduce the first VR system for SEEG planning that integrates user-friendly and efficient visualization and interaction strategies while providing real-time feedback metrics, including distances to nearest blood vessels, angles of insertion, and the overall surgical quality scores. The system reduces the surgical planning time by 91%. |



