Nature Communications (Dec 2022)

Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

  • Ana Sofía Ríos,
  • Simón Oxenford,
  • Clemens Neudorfer,
  • Konstantin Butenko,
  • Ningfei Li,
  • Nanditha Rajamani,
  • Alexandre Boutet,
  • Gavin J. B. Elias,
  • Jurgen Germann,
  • Aaron Loh,
  • Wissam Deeb,
  • Fuyixue Wang,
  • Kawin Setsompop,
  • Bryan Salvato,
  • Leonardo Brito de Almeida,
  • Kelly D. Foote,
  • Robert Amaral,
  • Paul B. Rosenberg,
  • David F. Tang-Wai,
  • David A. Wolk,
  • Anna D. Burke,
  • Stephen Salloway,
  • Marwan N. Sabbagh,
  • M. Mallar Chakravarty,
  • Gwenn S. Smith,
  • Constantine G. Lyketsos,
  • Michael S. Okun,
  • William S. Anderson,
  • Zoltan Mari,
  • Francisco A. Ponce,
  • Andres M. Lozano,
  • Andreas Horn

DOI
https://doi.org/10.1038/s41467-022-34510-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Deep brain stimulation has been investigated as a potential treatment for cognitive impairments in Alzheimer’s disease. Here the authors carry out post hoc analysis of multi-center cohorts to investigate the anatomical and functional correlates of effective deep brain stimulation, and find that stimulating circuit of Papez, fornix and bed nucleus of the stria terminalis, and a multi-region functional network, were associated with clinical improvement.