Consensus recommendations for clinical functional MRI applied to language mapping

Author:

Voets Natalie L.1,Ashtari Manzar2,Beckmann Christian F.3,Benjamin Christopher F.4,Benzinger Tammie5,Binder Jeffrey R.6,Bizzi Alberto7,Bjornson Bruce8,Chang Edward F.9,Douw Linda10,Gawryluk Jodie11,Geletneky Karsten12,Glasser Matthew F.5,Haller Sven13,Jenkinson Mark11415,Jovicich Jorge16,Leuthardt Eric5,Mian Asim17,Nichols Thomas E.11,Parker Jones Oiwi1,Pernet Cyril18,Plaha Puneet1,Połczyńska-Bletsos Monika19,Price Cathy J.20,Rutten Geert-Jan21,Scheel Michael22,Shimony Joshua S.5,Sierpowska Joanna23,Williams Lynne J.8,Talib Ghoufran8,Zeineh Michael24,Bartsch Andreas2526,Bookheimer Susan19

Affiliation:

1. University of Oxford

2. University of Pennsylvania

3. Radboud University Nijmegen

4. Vancouver General Hospital

5. Washington University School of Medicine

6. Medical College of Wisconsin

7. Fondazione IRCCS Istituto Neurologico Carlo Besta

8. University of British Columbia

9. University of California, San Francisco

10. Amsterdam University Medical Centers

11. University of Victoria, British Columbia

12. Academic Teaching Hospital of the Universities Frankfurt/Main and Heidelberg-Mannheim

13. University of Geneva

14. University of Adelaide

15. South Australian Health and Medical Research Institute

16. University of Trento

17. Boston University

18. Rigshospitalet

19. University of California, Los Angeles

20. University College London

21. Elisabeth-Tweesteden Hospital Tilburg

22. Charité - Universitätsmedizin Berlin

23. University of Barcelona

24. Stanford University

25. Radiologie Bamberg

26. University of Heidelberg

Abstract

Ample reports highlight fMRI’s added value to guide neurosurgical interventions near brain regions supporting speech and language. However, fMRI’s usefulness for clinical language mapping remains controversial, partly fueled by 1) differences from clinical standard tools it is often compared against, and 2) wide heterogeneity in how data are acquired, analyzed and interpreted. Both factors limit objective assessment of the benefits and efficacy of presurgical fMRI. This underscores the need for standardization of fMRI protocols to enable data pooling across centers and facilitate learning from patient outcomes. The OHBM Working Group on clinical fMRI language mapping was formed in 2017. Its scope was to review and propose best practice recommendations addressing specific challenges posed by applications in patient populations. Objectives were to: 1) consider language tasks and designs, optimized for specific clinical objectives, and incorporating modifications for patients with existing impairments; 2) offer practical guidance, based on high-quality research, for each step from fMRI acquisition and analysis to reporting individual patients’ data. In considering these challenges we focus on implementations that have proven feasible based on approaches in active use today. When widely available practices deviate from optimal practices, we highlight emerging developments meriting further evaluation and incorporation into clinical use. This document was created in collaboration with the OHBM Committee on Best Practices, incorporating community feedback. It aims to provide a framework for improved standardization of fMRI to enable much-needed evaluations of its ultimate goals; namely, minimization of invasive intraoperative testing and, ultimately, of new post-operative language deficits. Accordingly, the single strongest recommendation is for greater transparency and reporting of longitudinal outcomes in patients undergoing clinical fMRI.

Publisher

Organization for Human Brain Mapping

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