Knowledge Vault 3/19 - G.TEC BCI & Neurotechnology Spring School 2024 - Day 2
Combining MEG, EEG, ECoG
Milena Korostenskaja, g.tec neurotechnology USA (USA)
<Resume Image >

Concept Graph & Resume using Claude 3 Opus | Chat GPT4 | Llama 3:

graph LR classDef mapping fill:#f9d4d4, font-weight:bold, font-size:14px; classDef epilepsy fill:#d4f9d4, font-weight:bold, font-size:14px; classDef ecog fill:#d4d4f9, font-weight:bold, font-size:14px; classDef meg fill:#f9f9d4, font-weight:bold, font-size:14px; classDef eeg fill:#f9d4f9, font-weight:bold, font-size:14px; classDef future fill:#d4f9f9, font-weight:bold, font-size:14px; A[Milena Korostenskaja] --> B[MEG, EEG, ECOG: epilepsy brain mapping. 1] A --> C[Girl misdiagnosed: video EEG revealed epilepsy. 2] B --> D[MEG: precise right cingulate
gyrus localization. 3] B --> E[ECOG: final seizure onset
zone localization. 4] B --> F[Corpus callosotomy helps
localize seizure onset. 5] B --> G[Functional mapping crucial
to avoid deficits. 6] B --> H[Epilepsy often reorganizes
language areas. 7] B --> I[Language mapping: Wada, TMS,
fMRI, MEG, ECOG. 8] I --> J[ECS: gold standard
language mapping. 9] I --> K[High gamma ECOG maps
without stimulation. 10] K --> L[High gamma: language lateralization,
localization, outcomes. 11] K --> M[High gamma language mapping
specificity lower. 12] J --> N[Machine learning improves
ECS, ECOG accuracy. 13] E --> O[Stereo EEG depth electrodes
enable mapping. 14] D --> P[MEG guides electrode placement for BCI. 15] B --> Q[EEG, MEG, ECOG: unique contributions, uses. 16] B --> R[Ultra-high frequency mapping
enhances seizure detection. 17] D --> S[Fetal MEG: non-invasive
fetal brain investigation. 18] D --> T[MEG, ECOG high gamma
correlate pre-surgically. 19] D --> U[Passive MEG maps
uncooperative, young patients. 20] E --> V[ECOG event-related high
gamma expands localization. 21] D --> W[Real-time MEG:
neurorehabilitation potential. 22] B --> X[Pre-surgical rehabilitation may
transfer functions. 23] D --> Y[Wearable, non-cryogenic MEG
expands applications. 24] B --> Z[Ultra-high density EEG
improves mapping. 25] A --> AA[Brain Electrophysiology Lab
Podcast shares developments. 26] A --> AB[BCI Award invites innovative
research submissions. 27] B --> AC[Higher order statistics
enhance noisy signals. 28] C --> AD[Synchronous video, EEG correlates
symptoms, activity. 29] A --> AE[Multimodal mapping: promising
epilepsy, BCI future. 30] class A,AA,AB,AE future; class B,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,AC mapping; class C,AD epilepsy; class E,K,L,M,N,O,V ecog; class D,P,S,T,U,W meg; class C,Z eeg;


1.-Milena has expertise in combining MEG, EEG, and ECOG for epilepsy and brain mapping.

2.-A 5-year-old girl was misdiagnosed with panic attacks, but video EEG revealed epilepsy.

3.-MEG provided precise localization of abnormal activity in the right cingulate gyrus.

4.-ECOG was used for final precise localization of the seizure onset zone for surgical removal.

5.-Corpus callosotomy helps localize seizure onset when activity propagates quickly between hemispheres.

6.-Functional mapping is crucial to avoid post-surgical deficits in essential brain areas.

7.-Language areas often reorganize in epilepsy patients, requiring careful mapping.

8.-Methods for language lateralization and localization include Wada test, TMS, fMRI, MEG, ECOG.

9.-Electrical cortical stimulation (ECS) mapping is the gold standard for language mapping despite drawbacks.

10.-High gamma activity (70-170 Hz) in ECOG can map functional areas without stimulation.

11.-High gamma mapping can lateralize and localize language areas, predict surgical language outcomes.

12.-Sensitivity and specificity of high gamma mapping still lower than ECS for language.

13.-Machine learning approaches combining ECS and ECOG data improve accuracy of functional mapping.

14.-ECOG high gamma mapping is possible with stereo EEG depth electrodes.

15.-MEG can guide placement of electrodes for optimal P300 BCI performance.

16.-Each brain mapping method (EEG, MEG, ECOG) has unique contributions and use cases.

17.-Future directions include mapping ultra-high frequency activity for enhanced seizure detection.

18.-Fetal magnetoencephalography allows non-invasive investigation of fetal brain activity.

19.-MEG shows high correlation with ECOG high gamma mapping for pre-surgical language localization.

20.-Passive MEG recording enables functional mapping in uncooperative or very young patients.

21.-ECOG event-related high gamma mapping expands options for localizing various brain functions.

22.-Real-time MEG systems have potential for neurorehabilitation applications.

23.-Pre-surgical rehabilitation may help transfer functions to healthy brain areas prior to resection.

24.-Wearable and non-cryogenic MEG sensors in development to expand clinical applications.

25.-Ultra-high density EEG arrays improve source localization and functional brain mapping.

26.-The Brain Electrophysiology Lab Podcast shares latest developments in these technologies.

27.-BCI Award invites submissions of innovative BCI research.

28.-Higher order statistics may enhance feature extraction from noisy EEG and ECOG signals.

29.-Synchronous video and EEG recording allows correlation of clinical symptoms with abnormal brain activity.

30.-Promising future of multimodal brain mapping for epilepsy, pre-surgical planning, and BCI applications.

Knowledge Vault built byDavid Vivancos 2024