Citations 2
Multi-institutional recommendations on the use of 7T MRI in deep brain stimulation
Middlebrooks, Erik H. , Bot, Maarten , Patriat, Rémi , Lau, Jonathan C. , Tao, Shengzhen , Yacoub, Essa , McGovern, Robert A. , Harel, Noam , Middlebrooks, Erik H , Grewal, Sanjeet S. , Zhou, Xiangzhi , Straub, Sina
Journal of Neurosurgery | July 4, 2025 | Volume: 143 | Issue: 5 | Pages: 1165-1175
Deep brain stimulation (DBS) is an established therapeutic intervention for a range of neurological disorders, including Parkinson’s disease, essential tremor, and epilepsy. The efficacy of DBS is predicated on the modulation of dysfunctional neural circuits through the application of electrical pulses. Recent advancements in MRI technology have facilitated the visualization of brain nuclei and their associated networks, which is critical for proper patient-specific targeting of electrodes in surgical procedures. This advancement aims to personalize surgical planning and postoperative programming by integrating patient-specific anatomical and connectivity models. The advent of clinical ultrahigh-field MRI, particularly 7T MRI, significantly enhances the targeting of DBS by improving spatial resolution, signal-to-noise ratio, and tissue contrast. Compared with lower field strengths, 7T MRI provides superior visualization of deeply situated brain nuclei and their extensive cortical projections, including the subthalamic nucleus, globus pallidus internus, and thalamus. This review synthesizes a multi-institutional consensus regarding the technical and clinical applications of 7T MRI, drawing on experience from more than 1000 procedures using 7T DBS. It encompasses both imaging acquisition and postprocessing techniques aimed at optimizing image quality. Our extensive clinical experience informs best practices for correcting distortions, mitigating image artifacts, and employing specific imaging sequences that enhance the visualization of common DBS targets. The insights and recommendations presented are intended to promote the safe and effective utilization of 7T MRI in DBS.
The past, present, and future of the brain imaging data structure (BIDS)
Markiewicz, Christopher J. , Bansal, Shashank , Bénar, Christian , Bertazzoli, Giacomo , Bhogawar, Suyash , Blair, Ross , Brooks, Teon L , Calhoun, Vince D. , Castelli, Filippo Maria , D’Ambrosio, Sasha , Hollander, Gilles de , Vega, Alejandro de la , Delorme, Arnaud , Earl, Eric , Feingold, Franklin , Flandin, Guillaume, Galassi, Anthony , Gallitto, Giuseppe , Ganz, Melanie , Gholam, James , Ghosh, Satrajit , Guidali, Giacomo , Handwerker, Daniel A. , Hardcastle, Nell , Innis, Robert B. , Ioanas, Horea-Ioan , Jahn, Andrew , Karakuzu, Agâh , Kincses, Bálint , Lau, Jonathan C. , Li, Xiangrui , Meisler, Steven L. , Mikkelsen, Mark E. , Nichols, Thomas E. , Ort, Eduard , Park, Patrick J., Pawlik, Mateusz , Pestilli, Franco , Pollonini, Luca , Rizzo, Gaia , Robbins, Kay A. , Rockhill, Alexander P. , Rogers, Christine , Rokem, Ariel , Rorden, Chris , Routier, Alexandre , Saborit-Torres, Jose Manuel , Schirner, Michael , Smith, Robert E. , Sprenger, Julia , Szinte, Martin , Thomas, Adam G. , Torabian, Sajjad, Voytek, Bradley , Calhoun, Vince D. , Poldrack, Russell A. , Appelhoff, Stefan , Ashar, Yoni K. , Auer, Tibor , Baillet, Sylvain , Beltrachini, Leandro , Bortoletto, Marta , Boudreau, Mathieu , Clement, Patricia , Cohen, Alexander L. , Cohen-Adad, Julien , Iglesia-Vayá, María de la , Devinsky, Orrin , Draschkow, Dejan , Duff, Eugene Paul , DuPré, Elizabeth , Estéban, Oscar , Gau, Rémi , Ghosh, Satrajit S , Giacomel, Alessio , Gillman, Ashley , Gleeson, Padraig , Gramfort, Alexandre , Guay, Samuel , Halchenko, Yaroslav O. , Herholz, Peer , Hermes, Dora , Honey, Christopher John , Keator, David B. , Kiar, Gregory , Laird, Angela R. , Lazari, Alberto , Legarreta, Jon Haitz , Li, Adam , Love, Bradley C. , Lu, Hanzhang , Marcantoni, Eleonora , Maumet, Camille , Mazzamuto, Giacomo , Mutsaerts, Henk , Nikolaidis, Aki , Nilsonne, Gustav , Niso, Guiomar , Nørgaard, Martin Agge , Okell, Thomas W. , Oostenveld, Robert , Pernet, Cyril R , Petr, Jan , Phillips, Christophe L. M. , Poline, Jean‐Baptiste , Raamana, Pradeep Reddy , Ritter, Petra , Salo, Taylor , Spisák, Tamás , Swann, Nicole C. , Takerkart, Sylvain , Thirion, Bertrand , Varoquaux, Gaël , Welzel, Julius , Wilson, Martin , Yarkoni, Tal , Gorgolewski, Krzysztof J.
Imaging Neuroscience | February 20, 2024 | Volume: 2 | Issue: No issue available | Pages: No page available
Abstract The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.