Browsing by Author "Curry, Daniel J."

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    Network-Targeted Approach and Postoperative Resting-State Functional Magnetic Resonance Imaging Are Associated with Seizure Outcome
    (Wiley, 2019-09) Boerwinkle, Varina L.; Cediel, Emilio G.; Mirea, Lucia; Williams, Korwyn; Kerrigan, John F.; Lam, Sandi; Raskin, Jeffrey S.; Desai, Virendra R.; Wilfong, Angus A.; Adelson, P. David; Curry, Daniel J.; Surgery, School of Medicine
    Objective Postoperative resting‐state functional magnetic resonance imaging (MRI) in children with intractable epilepsy has not been quantified in relation to seizure outcome. Therefore, its value as a biomarker for epileptogenic pathology is not well understood. Methods In a sample of children with intractable epilepsy who underwent prospective resting‐state seizure onset zone (SOZ)‐targeted epilepsy surgery, postoperative resting‐state functional MRI (rs‐fMRI) was performed 6 to 12 months later. Graded normalization of the postoperative resting‐state SOZ was compared to seizure outcomes, patient, surgery, and anatomical MRI characteristics. Results A total of 64 cases were evaluated. Network‐targeted surgery, followed by postoperative rs‐fMRI normalization was significantly (p < 0.001) correlated with seizure reduction, with a Spearman rank correlation coefficient of 0.83. Of 39 cases with postoperative rs‐fMRI SOZ normalization, 38 (97%) became completely seizure free. In contrast, of the 25 cases without complete rs‐fMRI SOZ normalization, only 3 (5%) became seizure free. The accuracy of rs‐fMRI as a biomarker predicting seizure freedom is 94%, with 96% sensitivity and 93% specificity. Interpretation Among seizure localization techniques in pediatric epilepsy, network‐targeted surgery, followed by postoperative rs‐fMRI normalization, has high correlation with seizure freedom. This study shows that rs‐fMRI SOZ can be used as a biomarker of the epileptogenic zone, and postoperative rs‐fMRI normalization is a biomarker for SOZ quiescence.
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    Standard work tools for dynamic stereoelectroencephalography using ROSA: naming convention and perioperative planning
    (JNS, 2021-04) Bakr, Salma M.; Patel, Ajay; Zaazoue, Mohamed A.; Wagner, Kathryn; Lam, Sandi K.; Curry, Daniel J.; Raskin, Jeffrey S.; Neurological Surgery, School of Medicine
    OBJECTIVE The grid-based orthogonal placement of depth electrodes (DEs), initially defined by Jean Talairach and Jean Bancaud, is known as stereo-electroencephalography (sEEG). Although acceptance in the United States was initially slow, advances in imaging and technology have spawned a proliferation of North American epilepsy centers offering sEEG. Despite publications highlighting minimal access techniques and varied indications, standard work for phase I targeted DE has not been defined. In this article, the authors propose the term “dynamic sEEG” and define standard work tools and related common data elements to promote uniformity in the field. METHODS A multidisciplinary approach from July to August 2016 resulted in the production of 4 standard work tools for dynamic sEEG using ROSA: 1) a 34-page illustrated manual depicting a detailed workflow; 2) a planning form to collocate all the phase I data; 3) a naming convention for DEs that encodes the data defining it; and 4) a reusable portable perioperative planning and documentation board. A retrospective review of sEEG case efficiency was performed comparing those using standard work tools (between July 2016 and April 2017) with historical controls (between March 2015 and June 2016). The standard work tools were then instituted at another epilepsy surgery center, and the results were recorded. RESULTS The process for dynamic sEEG was formally reviewed, including anesthesia, positioning, perioperative nursing guidelines, surgical steps, and postoperative care for the workflow using cranial fixation and ROSA-guided placement. There was a 40% improvement in time per electrode, from 44.7 ± 9.0 minutes to 26.9 ± 6.5 minutes (p = 0.0007) following the development and use of the manual, the naming convention, and the reusable portable perioperative planning and documentation board. This standardized protocol was implemented at another institution and yielded a time per electrode of 22.3 ± 4.4 minutes. CONCLUSIONS The authors propose the term dynamic sEEG for stereotactic depth electrodes placed according to phase I workup data with the intention of converting to ablation. This workflow efficiency can be optimized using the standard work tools presented. The authors also propose a novel naming convention that encodes critical data and allows portability among providers. Use of a planning form for common data elements optimizes research, and global adoption could facilitate multicenter studies correlating phase I modality and seizure onset zone identification.