Literature DB >> 8788076

Specificity of temporal amygdala atrophy in Alzheimer's disease: quantitative assessment with magnetic resonance imaging.

C Maunoury1, J L Michot, H Caillet, V Parlato, A Leroy-Willig, P Jehenson, A Syrota, F Boller.   

Abstract

The aim of the study was to assess the specificity of temporal amygdala (TA) atrophy with magnetic resonance imaging (MRI) by comparing a group of early impaired patients with Alzheimer's disease (AD) with 'other types of dementia' and controls. In this prospective case-control study, 41 patients were selected: 12 with probable AD according to NINCDS-ADRDA and CERAD inclusion and exclusion criteria, 14 with other types of dementia and 15 age-matched control subjects. Two radiologists blindly measured the TA volumes on coronal oblique contiguous slices with a 1.5-tesla MRI scanner. TA volume measurements obtained by the 2 observers and right-left TA values were not significantly different. A significant TA atrophy was found in the AD group as compared to the other groups, with 39.7% (p < 0.001) difference in TA volumes between AD and other types of dementia groups and 41.4% (p < 0.0005) difference between AD and control groups. There was no significant difference between other types of dementia and control groups. There was an overlap between the three groups for 4 patients. TA atrophy assessed with MRI could be of diagnostic value in AD, especially in the early stage of the disease.

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Year:  1996        PMID: 8788076     DOI: 10.1159/000106846

Source DB:  PubMed          Journal:  Dementia        ISSN: 1013-7424


  6 in total

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2.  Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia.

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Authors:  Kaoru Nashiro; Mara Mather
Journal:  Am J Psychol       Date:  2011

4.  Type 2 diabetes and atrophy of medial temporal lobe structures on brain MRI.

Authors:  T den Heijer; S E Vermeer; E J van Dijk; N D Prins; P J Koudstaal; A Hofman; M M B Breteler
Journal:  Diabetologia       Date:  2003-11-01       Impact factor: 10.122

5.  Geometric deep learning reveals a structuro-temporal understanding of healthy and pathologic brain aging.

Authors:  Pierre Besson; Emily Rogalski; Nathan P Gill; Hui Zhang; Adam Martersteck; S Kathleen Bandt
Journal:  Front Aging Neurosci       Date:  2022-08-23       Impact factor: 5.702

6.  Evolution of beta-amyloid induced neuropathology: magnetic resonance imaging and anatomical comparisons in the rodent hippocampus.

Authors:  Yusuf A Bhagat; André Obenaus; J Steven Richardson; Edward J Kendall
Journal:  MAGMA       Date:  2002-06       Impact factor: 2.533

  6 in total

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