International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND)

Robert D Sanders; Leiv Watne; Shawniqua Williams Roberson; Eyal Y Kimchi; Arjen J C Slooter; Colm Cunningham; Kirill V Nourski; Ben J A Palanca; Richard Lennertz; Matthew I Banks

doi:10.1016/j.bjao.2024.100304

International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND)

BJA Open. 2024 Jul 30:11:100304. doi: 10.1016/j.bjao.2024.100304. eCollection 2024 Sep.

Authors

Affiliations

¹ University of Sydney & Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
² Oslo Delirium Research Group, Akershus University Hospital, & Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway.
³ Critical Illness, Brain Dysfunction and Survivorship (CIBS) Center, and Departments of Neurology and Biomedical Engineering, Vanderbilt University Medical Center, Nashville, TN, USA.
⁴ Department of Neurology, Northwestern University, Chicago, IL, USA.
⁵ Departments of Psychiatry and Intensive Care Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
⁶ Trinity Institute of Neurosciences, Trinity College Dublin, Dublin, Ireland.
⁷ Department of Neurosurgery & Iowa Neurosciences Institute, University of Iowa, Iowa City, IA, USA.
⁸ Departments of Anesthesiology and Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
⁹ Department of Anesthesiology, University of Wisconsin, Madison, WI, USA.

Abstract

In an era of 'big data', we propose that a collaborative network approach will drive a better understanding of the mechanisms of delirium, and more rapid development of therapies. We have formed the International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND) group with a key aim to 'facilitate the study of delirium pathogenesis with electrophysiology, imaging, and biomarkers including data acquisition, analysis, and interpretation'. Our initial focus is on studies of electrophysiology as we anticipate this methodology has great potential to enhance our understanding of delirium. Our article describes this principle and is used to highlight the endeavour to the wider community as we establish key stakeholders and partnerships.

Keywords: biomarker; collaboration; delirium; electrocorticography; electroencephalography; surgery.

Publication types

Editorial

Grants and funding

R01 GM109086/GM/NIGMS NIH HHS/United States