02321nas a2200253 4500008004100000022001400041245011300055210006900168260001200237520148500249100001301734700001401747700001901761700001801780700002101798700001801819700001801837700001701855700001801872700001901890700001901909700001601928856012301944 2022 eng d a1741-255200aAutomated intraoperative central sulcus localization and somatotopic mapping using median nerve stimulation.0 aAutomated intraoperative central sulcus localization and somatot c07/20223 a

OBJECTIVE: Accurate identification of functional cortical regions is essential in neurological resection. The central sulcus (CS) is an important landmark that delineates functional cortical regions. Median nerve stimulation (MNS) is a standard procedure to identify the position of the CS intraoperatively. In this paper, we introduce an automated procedure that uses MNS to rapidly localize the CS and create functional somatotopic maps.

APPROACH: We recorded electrocorticographic signals from 13 patients who underwent MNS in the course of an awake craniotomy. We analyzed these signals to develop an automated procedure that determines the location of the CS and that also produces functional somatotopic maps.

MAIN RESULTS: The comparison between our automated method and visual inspection performed by the neurosurgeon shows that our procedure has a high sensitivity (89%) in identifying the CS. Further, we found substantial concordance between the functional somatotopic maps generated by our method and passive functional mapping (92% sensitivity).

SIGNIFICANCE: Our automated MNS-based method can rapidly localize the CS and create functional somatotopic maps without imposing additional burden on the clinical procedure. With additional development and validation, our method may lead to a diagnostic tool that guides neurosurgeon and reduces postoperative morbidity in patients undergoing resective brain surgery.

1 aXie, Tao1 aWu, Zehan1 aSchalk, Gerwin1 aTong, Yusheng1 aVato, Alessandro1 aRaviv, Nataly1 aGuo, Qinglong1 aYe, Huanpeng1 aSheng, Xinjun1 aZhu, Xiangyang1 aBrunner, Peter1 aChen, Liang uhttps://www.neurotechcenter.org/publications/2022/automated-intraoperative-central-sulcus-localization-and-somatotopic02367nas a2200337 4500008004100000022001400041245007800055210006900133260001200202300000900214490000700223520135600230653001001586653002701596653000901623653001101632653002701643653001601670653001201686100002101698700002101719700002201740700002401762700001801786700002601804700002101830700001901851700002001870700001901890856012001909 2022 eng d a2045-232200aNeural oscillations during motor imagery of complex gait: an HdEEG study.0 aNeural oscillations during motor imagery of complex gait an HdEE c03/2022 a43140 v123 a

The aim of this study was to investigate differences between usual and complex gait motor imagery (MI) task in healthy subjects using high-density electroencephalography (hdEEG) with a MI protocol. We characterized the spatial distribution of α- and β-bands oscillations extracted from hdEEG signals recorded during MI of usual walking (UW) and walking by avoiding an obstacle (Dual-Task, DT). We applied a source localization algorithm to brain regions selected from a large cortical-subcortical network, and then we analyzed α and β bands Event-Related Desynchronizations (ERDs). Nineteen healthy subjects visually imagined walking on a path with (DT) and without (UW) obstacles. Results showed in both gait MI tasks, α- and β-band ERDs in a large cortical-subcortical network encompassing mostly frontal and parietal regions. In most of the regions, we found α- and β-band ERDs in the DT compared with the UW condition. Finally, in the β band, significant correlations emerged between ERDs and scores in imagery ability tests. Overall we detected MI gait-related α- and β-band oscillations in cortical and subcortical areas and significant differences between UW and DT MI conditions. A better understanding of gait neural correlates may lead to a better knowledge of pathophysiology of gait disturbances in neurological diseases.

10aBrain10aElectroencephalography10aGait10aHumans10aImagery, Psychotherapy10aImagination10aWalking1 aPutzolu, Martina1 aSamogin, Jessica1 aCosentino, Carola1 aMezzarobba, Susanna1 aBonassi, Gaia1 aLagravinese, Giovanna1 aVato, Alessandro1 aMantini, Dante1 aAvanzino, Laura1 aPelosin, Elisa uhttps://www.neurotechcenter.org/publications/2022/neural-oscillations-during-motor-imagery-complex-gait-hdeeg-study