Skip to main navigation Skip to search Skip to main content

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
  • *Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

2 Downloads (Pure)

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.

Original languageEnglish
Article number100304
Number of pages3
JournalBJA open
Volume11
DOIs
Publication statusPublished - Sept 2024

Keywords

  • biomarker
  • collaboration
  • delirium
  • electrocorticography
  • electroencephalography
  • surgery

Fingerprint

Dive into the research topics of 'International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND)'. Together they form a unique fingerprint.

Cite this