Effects of change in FreeSurfer version on classification accuracy of patients with Alzheimer's disease and mild cognitive impairment-Reference-Cited by-同舟云学术

Effects of change in FreeSurfer version on classification accuracy of patients with Alzheimer's disease and mild cognitive impairment

Published:2016-03-28 Issue:5 Volume:37 Page:1831-1841
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain Mapp.

Author:

Chepkoech Joy-Loi¹,Walhovd Kristine B.¹,Grydeland Håkon¹,Fjell Anders M.¹,

Affiliation:

1. Research Group for Lifespan Changes in Brain and Cognition (LCBC); Department of Psychology, University of Oslo; Norway

Funder

The project has received funding from the European Research Council's Starting Grant scheme under grant agreements

the Norwegian Research Council

Alzheimer’s Disease Neuroimaging Initiative

National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, Alzheimer's Association

Alzheimer's Drug Discovery Foundation

BioClinica, Inc

Biogen Idec Inc

Bristol-Myers Squibb Company

Eisai Inc

Elan Pharmaceuticals, Inc

Eli Lilly and Company

F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc

GE Healthcare

Innogenetics, N.V.

IXICO Ltd

Janssen Alzheimer Immunotherapy Research & Development, LLC

Johnson & Johnson Pharmaceutical Research & Development LLC

Medpace, Inc

Merck & Co., Inc

Meso Scale Diagnostics, LLC

NeuroRx Research

Novartis Pharmaceuticals Corporation

Pfizer Inc

Piramal Imaging

Servier

Synarc Inc

Takeda Pharmaceutical Company

National Institutes of Health

Publisher

Wiley

Subject

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

Reference25 articles.

1. ADNI

2. The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease;Albert;Alzheimer's & Dementia,2011

3. A comparison of voxel and surface based cortical thickness estimation methods;Clarkson;NeuroImage,2011

4. Cortical surface-based analysis I: Segmentation and surface reconstruction;Dale;NeuroImage,1999

5. Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths;Dickerson;NeuroImage,2008

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling;Alzheimer's & Dementia;2024-09-05

2. BNPower: a power calculation tool for data-driven network analysis for whole-brain connectome data;Imaging Neuroscience;2024-02

3. Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets;Scientific Data;2024-01-23

4. The effect of processing pipelines, input images and age on automatic cortical morphology estimates;Computer Methods and Programs in Biomedicine;2023-12

5. Emotion regulation and reactivity are associated with cortical thickness in early to mid‐childhood;Developmental Psychobiology;2023-07-26