Cited by 37Dementia and Cognitive Impairment ResearchHistorical and Modern Theater StudiesAmyotrophic Lateral Sclerosis Research

Overlap in frontotemporal atrophy between normal aging and patients with frontotemporal dementias

Chow, Tiffany W., Binns, Malcolm A., Freedman, Morris, Stuss, Donald T., Ramirez, Joel, Scott, Chris J. M., Black, Sandra·2008·Alzheimer Disease & Associated Disorders

Abstract

Normal aging leads to frontocortical atrophy. The degree to which this complicates the use of frontotemporal atrophy as a diagnostic criterion for the frontotemporal dementias (FTDs) has not been reported. The present case-control study compared frontotemporal volumes delineated with semi-automatic brain region extraction [n=30 controls vs. 16 behavioral variant FTD (bvFTD) vs. 14 primary progressive aphasia]. Logistic regression identified those regions least helpful for distinguishing bvFTD and primary progressive aphasia from controls. Linear regression tested the correlation of duration of illness to atrophy severity. The control group showed high variance in volumes. Controls had right frontal lobe volumes that overlapped considerably with bvFTD volumes, but, as anticipated, the left anterior temporal volumes of interest showed 91% accuracy in distinguishing the aphasic subgroup from controls. Left-sided and not right-sided atrophy in the medial middle frontal region distinguished the bvFTD group from controls. The relegation of structural imaging to a supportive criterion for diagnosis is reasonable in the context of the range of atrophy due to normal aging. While volumetry identified left-sided atrophy as useful for identifying FTD cases, future studies should determine whether clinicians could make these distinctions on viewing routine diagnostic magnetic resonance imaging scans.

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Crossref · 10.1097/wad.0b013e31818026c4

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  • Prior machine learning studies achieved moderate to high accuracy distinguishing bvFTD.

    “In general, they achieved moderate to high accuracy distinguishing bvFTD.”
  • Machine learning techniques have been applied to distinguish bvFTD from cognitively normal controls, Alzheimer Disease or other psychiatric and neurologic disorders on an individual level using MRI-based features.

    “Recently, machine learning techniques have been applied to distinguish between bvFTD and Cognitively Normal Subjects (CNCs), Alzheimer Disease or other psychiatric and neurologic disorders on an individual level using MRI-based features. 9-17”
  • Previous studies classified bvFTD from a control group.

    “Previous studies classified bvFTD from a control group. 9-13”
  • Assessment of cortical atrophy by standard visual neuroradiological review is often insufficient in the initial stages of bvFTD to differentiate it from normal age-related volume loss.

    “Assessment of cortical atrophy by standard visual neuroradiological review is often insufficient in the initial stages of bvFTD to differentiate it with normal age-related volume loss (Gregory et al. , 1999; Chow et al. , 2008; Vijverberg et al. , 2016 a ), which can lead to erroneous diagnoses.”

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Authors
Chow, T. W., Binns, M. A., Freedman, M., Stuss, D. T., Ramirez, J., Scott, C. J. M., & Black, S.
Affiliations
  • University of Toronto (CA)
  • Rotman Research Institute (CA)
  • Sunnybrook Health Science Centre (CA)
Corresponding author
  • Chow, Tiffany W.
  • Freedman, Morris
  • Stuss, Donald T.
  • Black, Sandra
Venue
Alzheimer Disease & Associated Disorders
Published
2008-10
Volume
22
Issue
4
Pages
327-335
ISSN
0893-0341 (ISSN-L)
OpenAlex
W1977167964
Cited by
37
References
0
Citations by year
2026: 2 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 4 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 2 · 2013: 3
FWCI
1.64
Type
journal article
Language
en
Open access
closed
Locations
  • Alzheimer Disease & Associated Disorders (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging (F32AG022802)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
  • Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
Keywords
frontotemporal atrophy, frontotemporal dementia, normal aging, behavioral variant frontotemporal dementia, primary progressive aphasia, brain volumetry, diagnostic overlap, disease duration
MeSH terms
Aged, Aged, 80 and over, Aging, Atrophy, Dementia, Female, Frontal Lobe, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, ROC Curve, Case-Control Studies

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