Predicting effective connectivity from resting-state networks in healthy elderly and patients with prodromal Alzheimer's disease-Reference-Cited by-同舟云学术

Predicting effective connectivity from resting-state networks in healthy elderly and patients with prodromal Alzheimer's disease

Author:

Neufang Susanne¹,Akhrif Atae¹,Riedl Valentin²,Förstl Hans³,Kurz Alexander³,Zimmer Claus¹,Sorg Christian¹³,Wohlschläger Afra M.¹²

Affiliation:

1. Department of Neuroradiology, Klinikum Rechts der Isar; Technical University Munich; Ismaningerstrasse 22 81675 Munich Germany

2. Department of Neurology, Klinikum Rechts der Isar, Technical University Munich; Ismaningerstrasse 22 81675 Munich Germany

3. Department of Psychiatry; Klinikum Rechts der Isar; Technical University Munich; Ismaningerstrasse 22 81675 Munich Germany

Funder

German Federal Ministry of Education and Research

Kommission für Klinische Forschung of the university hospital Klinikum Rechts der Isar

Alzheimer Forschung Initiative (AFI)

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

Reference48 articles.

2. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini;J Roy Stat Soc,1995

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