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PMID: 20454594 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Comparison of manual and automated determination of hippocampal volumes in MCI and early AD.

Brain imaging and behavior ·Vol. 4 ·No. 1 ·2010-03-00 ·Pages 86-95

Shen L, Saykin AJ, Kim S, Firpi HA, West JD, Risacher SL, McDonald BC, McHugh TL, Wishart HA, Flashman LA

Abstract

MRI-based hippocampal volume analysis has been extensively employed given its potential as a biomarker for brain disorders such as Alzheimer's disease (AD), and accurate and efficient determination of hippocampal volumes from brain images is still a challenging issue. We compared an automated method, FreeSurfer (V4), with a published manual protocol for the determination of hippocampal volumes from T1-weighted MRI scans. Our study included MRI data from 125 older adult subjects: healthy controls with no significant cognitive complaints or deficits (HC, n=38), euthymic individuals with cognitive complaints (CC, n=39) but intact neuropsychological performance, and patients with amnestic mild cognitive impairment (MCI, n=37) or a clinical diagnosis of probable AD (AD, n=11). Pearson correlations and intraclass correlation coefficients (ICCs) were calculated to evaluate the relationship between results of the manual tracing and FreeSurfer methods and to estimate their agreement. Results indicated that these two methods derived highly correlated results with strong agreement. After controlling for the age, sex and intracranial volume in statistical group analysis, both the manual tracing and FreeSurfer methods yield similar patterns: both the MCI group and the AD group showed hippocampal volume reduction compared to both the HC group and the CC group, and the HC and CC groups did not differ. These comparisons suggest that FreeSurfer has the potential to be used in automated determination of hippocampal volumes for large-scale MCI/AD-related MRI studies, where manual methods are inefficient or not feasible.

Keywords
Alzheimer’s disease Magnetic resonance imaging cognitive complaints hippocampus mild cognitive impairment segmentation
MeSH Terms
Aged Alzheimer Disease/pathology Automation Cognition Disorders/pathology Cohort Studies Disease Progression Female Functional Laterality Hippocampus/pathology Humans Image Processing, Computer-Assisted/methods Imaging, Three-Dimensional/methods Linear Models Magnetic Resonance Imaging/methods Male Organ Size Software Time Factors
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Shen Li
IU Center for Neuroimaging, Div. of Imaging Sciences, Dept. of Radiology, Indiana University School of Medicine, 950 W Walnut St., R2 E124, Indianapolis, IN 46202, USA. [email protected]
Saykin Andrew J
Kim Sungeun
Firpi Hiram A
West John D
Risacher Shannon L
McDonald Brenna C
McHugh Tara L
Wishart Heather A
Flashman Laura A
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Article Info
Journal
Brain imaging and behavior
Abbr.
Brain Imaging Behav
ISSN
1931-7565
DOI
10.1007/s11682-010-9088-x
Email
[email protected]
Published
2010-03-00
Pages
86-95
Language
English
Region
United States
NLM ID
101300405
PMCID
PMC2863347
Subset
IM
Grants
NIA NIH HHS · R01 AG019771 · United States
NIA NIH HHS · P30 AG010133 · United States
NIA NIH HHS · P30 AG010133-18S1 · United States
NIBIB NIH HHS · R03 EB008674 · United States
NIBIB NIH HHS · U54 EB005149 · United States
NIA NIH HHS · R01 AG019771-01 · United States
NIA NIH HHS · R01 AG19771 · United States
NCI NIH HHS · R01 CA101318 · United States
NCI NIH HHS · R01 CA101318-01A1 · United States
NIBIB NIH HHS · R03 EB008674-01S1 · United States
NIBIB NIH HHS · U54 EB005149-01 · United States
NIBIB NIH HHS · R03 EB008674-01 · United States
NIA NIH HHS · P30 AG10133 · United States
External Links
PubMed source DOI: 10.1007/s11682-010-9088-x PMC Full Text View journal details
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