Vogel, Dorian
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Publication Optimizing neuroscience data management by combining REDCap, BIDS and SQLite. A case study in Deep Brain Stimulation(Frontiers Research Foundation, 05.09.2024) Stawiski, Marc; Bucciarelli, Vittoria; Vogel, Dorian; Hemm-Ode, SimoneNeuroscience studies entail the generation of massive collections of heterogeneous data (e.g. demographics, clinical records, medical images). Integration and analysis of such data in research centers is pivotal for elucidating disease mechanisms and improving clinical outcomes. However, data collection in clinics often relies on non-standardized methods, such as paper-based documentation. Moreover, diverse data types are collected in different departments hindering efficient data organization, secure sharing and compliance to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. Henceforth, in this manuscript we present a specialized data management system designed to enhance research workflows in Deep Brain Stimulation (DBS), a state-of-the-art neurosurgical procedure employed to treat symptoms of movement and psychiatric disorders. The system leverages REDCap to promote accurate data capture in hospital settings and secure sharing with research institutes, Brain Imaging Data Structure (BIDS) as image storing standard and a DBS-specific SQLite database as comprehensive data store and unified interface to all data types. A self-developed Python tool automates the data flow between these three components, ensuring their full interoperability. The proposed framework has already been successfully employed for capturing and analyzing data of 107 patients from 2 medical institutions. It effectively addresses the challenges of managing, sharing and retrieving diverse data types, fostering advancements in data quality, organization, analysis, and collaboration among medical and research institutions.01A - Beitrag in wissenschaftlicher ZeitschriftPublication Towards tracking of deep brain stimulation electrodes using an integrated magnetometer(MDPI, 04/2021) Quirin, Thomas; Féry, Corentin; Vogel, Dorian; Vergne, Céline; Sarracanie, Mathieu; Salameh, Najat; Madec, Morgan; Hemm-Ode, Simone; Hébrard, Luc; Pascal, JorisThis paper presents a tracking system using magnetometers, possibly integrable in a deep brain stimulation (DBS) electrode. DBS is a treatment for movement disorders where the position of the implant is of prime importance. Positioning challenges during the surgery could be addressed thanks to a magnetic tracking. The system proposed in this paper, complementary to existing procedures, has been designed to bridge preoperative clinical imaging with DBS surgery, allowing the surgeon to increase his/her control on the implantation trajectory. Here the magnetic source required for tracking consists of three coils, and is experimentally mapped. This mapping has been performed with an in-house three-dimensional magnetic camera. The system demonstrates how magnetometers integrated directly at the tip of a DBS electrode, might improve treatment by monitoring the position during and after the surgery. The three-dimensional operation without line of sight has been demonstrated using a reference obtained with magnetic resonance imaging (MRI) of a simplified brain model. We observed experimentally a mean absolute error of 1.35 mm and an Euclidean error of 3.07 mm. Several areas of improvement to target errors below 1 mm are also discussed.01A - Beitrag in wissenschaftlicher ZeitschriftPublication Tracking the orientation of deep brain stimulation electrodes using an embedded magnetic sensor(2021) Vergne, Céline; Madec, Morgan; Hemm-Ode, Simone; Quirin, Thomas; Vogel, Dorian; Hebrard, Luc; Pascal, JorisThis paper proposes a three-dimensional (3D) orientation tracking method of a 3D magnetic sensor embedded in a 2.5 mm diameter electrode. Our system aims to be used during intraoperative surgery to detect the orientation of directional leads (D-leads) for deep brain stimulation (DBS).06 - Präsentation