Presurgical Functional Cortical Mapping Using Electromagnetic Source Imaging

Kreidenhuber, Rudolf; Tiège, Xavier De; Rampp, Stefan

doi:10.3389/fneur.2019.00628

Cited by 16 publications

(9 citation statements)

References 185 publications

(220 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lastly, our results are proof-of-concept that intraoperative functional brain mapping could be more efficient with machine learning. Conventional passive (non-stimulation) mapping of functionally significant motor areas uses modulation of a predefined frequency band, commonly gamma (Kreidenhuber et al, 2019). Using an SVM or similar spectrogram-based classification would be more accurate because it includes a wider range of frequencies, including and extending beyond the predefined band.…”

Section: Discussionmentioning

confidence: 99%

Classification of Movement-Related Oscillations in sEEG Recordings with Machine Learning

Rockhill

Mantovani

Stedelin

et al. 2022

Preprint

View full text Add to dashboard Cite

Previous electrophysiological research has characterized canonical oscillatory patterns associated with movement mostly from recordings of primary sensorimotor cortex. Less work has attempted to decode movement based on electrophysiological recordings from a broader array of brain areas such as those sampled by stereoelectroencephalography (sEEG). Here we decoded movement using a linear support vector machine (SVM). We were able to accurately classify sEEG spectrograms during a keypress movement in a task versus those during the inter-trial interval. Furthermore, the important time-frequency patterns for this classification recapitulated findings from previous studies that used non-invasive electroencephalography (EEG) and electrocorticography (ECoG) and identified brain regions that were not associated with movement in previous studies. Specifically, we found these previously described patterns: beta (13 - 30 Hz) desynchronization, beta synchronization (rebound), pre-movement alpha (8 - 15 Hz) modulation, a post-movement broadband gamma (60 - 90 Hz) increase and an event-related potential. These oscillatory patterns were newly observed in a wide range of brain areas accessible with sEEG that are not accessible with other electrophysiology recording methods. For example, the presence of beta desynchronization in the frontal lobe was more widespread than previously described, extending outside primary and secondary motor cortices. We provide evidence for a system of putative motor networks that exhibit unique oscillatory patterns by describing the anatomical extent of the movement-related oscillations that were observed most frequently across all sEEG contacts.

show abstract

Section: Discussionmentioning

confidence: 99%

Classification of Movement-Related Oscillations in sEEG Recordings with Machine Learning

Rockhill

Mantovani

Stedelin

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Multiple studies have demonstrated high concordance between MEG-based language mapping and invasive procedures (eg, intracarotid amobarbital procedure or Wada), favoring MEG as a noninvasive option for language mapping and lateralization. 10,[15][16][17][18] A key transformative step is the integration of source-modeled MEG data with MR imaging to yield MSI, either by the overlay of single equivalent dipole sources or by statistical mapping of either spontaneous or event-related changes. 19,20 This renders MEG data directly interpretable by the neuroradiologist in a fashion very analogous to fMRI, but combining both mapping of functional, eloquent cortex, as well as the sources of interictal spontaneous discharges (dysfunctional MR imaging).…”

Section: Current Indications For Meg and Magnetic Source Imagingmentioning

confidence: 99%

ACR White Paper on Magnetoencephalography and Magnetic Source Imaging: A Report from the ACR Commission on Neuroradiology

Maldjian¹,

Lee²,

Jordan³

et al. 2022

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

Magnetoencephalography, the extracranial detection of tiny magnetic fields emanating from intracranial electrical activity of neurons, and its source modeling relation, magnetic source imaging, represent a powerful functional neuroimaging technique, able to detect and localize both spontaneous and evoked activity of the brain in health and disease. Recent years have seen an increased utilization of this technique for both clinical practice and research, in the United States and worldwide. This report summarizes current thinking, presents recommendations for clinical implementation, and offers an outlook for emerging new clinical indications.

show abstract

“…), the Wada test has the additional disadvantage of not being able to localize cortical language function and is therefore not suitable as a diagnostic tool for more precise surgical planning. 40,41 To the best of our knowledge, we present the first case series of pediatric patients in whom preoperative nTMS mapping data were combined with nTMS-based DTI fiber tracking to enhance surgical safety for children undergoing brain surgery in functionally eloquent areas. Fortunately, we did not observe any new postoperative neurological deficit in these cases.…”

Section: Figmentioning

confidence: 99%

Pediatric navigated transcranial magnetic stimulation motor and language mapping combined with diffusion tensor imaging tractography: clinical experience

Rosenstock

Picht

Schneider

et al. 2020

Journal of Neurosurgery: Pediatrics

View full text Add to dashboard Cite

OBJECTIVEIn adults, navigated transcranial magnetic stimulation (nTMS) has been established as a preoperative examination method for brain tumors in motor- and language-eloquent locations. However, the clinical relevance of nTMS in children with brain tumors is still unclear. Here, the authors present their initial experience with nTMS-based surgical planning and family counseling in pediatric cases.METHODSThe authors analyzed the feasibility of nTMS and its influence on counseling and surgical strategy in a prospective study conducted between July 2017 and September 2019. The main inclusion criterion was a potential benefit from functional mapping data derived from nTMS and/or nTMS-enhanced tractography in pediatric patients who presented to the authors’ department prior to surgery for lesions close to motor- and/or speech-eloquent areas. The study was undertaken in 14 patients (median age 7 years, 8 males) who presented with different brain lesions.RESULTSMotor mapping combined with cortical seed area definition could be performed in 10 children (71%) to identify the corticospinal tract by additional diffusion tensor imaging (DTI). All motor mappings could be performed successfully without inducing relevant side effects. In 7 children, nTMS language mapping was performed to detect language-relevant cortical areas and DTI fiber tractography was performed to visualize the individual language network. nTMS examination was not possible in 4 children because of lack of compliance (n = 2), syncope (n = 1), and preexisting implant (n = 1). After successful mapping, the spatial relation between lesion and functional tissue was used for surgical planning in all 10 patients, and 9 children underwent nTMS-DTI integrated neuronavigation. No surgical complications or unexpected neurological deterioration was observed. In all successful nTMS cases, better function-based counseling was offered to the families. In 6 of 10 patients the surgical strategy was adapted according to nTMS data, and in 6 of 10 cases the extent of resection (EOR) was redefined.CONCLUSIONSnTMS and DTI fiber tracking were feasible for the majority of children. Presurgical counseling as well as surgical planning for the approach and EOR were improved by the nTMS examination results. nTMS in combination with DTI fiber tracking can be regarded as beneficial for neurosurgical procedures in eloquent areas in the pediatric population.

show abstract

Presurgical Functional Cortical Mapping Using Electromagnetic Source Imaging

Cited by 16 publications

References 185 publications

Classification of Movement-Related Oscillations in sEEG Recordings with Machine Learning

Classification of Movement-Related Oscillations in sEEG Recordings with Machine Learning

ACR White Paper on Magnetoencephalography and Magnetic Source Imaging: A Report from the ACR Commission on Neuroradiology

Pediatric navigated transcranial magnetic stimulation motor and language mapping combined with diffusion tensor imaging tractography: clinical experience

Contact Info

Product

Resources

About