• DocumentCode
    557382
  • Title

    Sulcal morphology differences between mild cognitive impairment patients and normal elderly subjects

  • Author

    Pan, Cuicui ; Li, Shuyu ; Pu, Fang ; Niu, Haijun ; Li, Deyu ; Fan, Yubo ; Han, Ying

  • Author_Institution
    State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    513
  • Lastpage
    517
  • Abstract
    Mild cognitive impairment (MCI) is an intermediate cognitive state between normal aging and dementia. Previous studies have found the atrophy of the gray matter and white matter in MCI compared to normal aging. However, the relatively few reports focused on the sulcal morphology in MCI subjects. Here, we investigated the changes of sulcal morphology in MCI and normal controls using quantitative surface-based method. We computed three dimensional gyrification indexes (3D-GI) of both cerebral hemispheres and four morphological metrics (the bottom length, top length, average depth and maximum depth) in nine prominent sulci per hemisphere, as well as the asymmetry index (AI) of these metrics. The relationships among those metrics and Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) scores in MCI patients were also investigated. We found that 3D-GI was not significantly different between MCI subjects and normal controls. Interestingly, we observed that the lengths and depths of the left superior and inferior frontal sulci in MCI subjects showed significant differences compared to the normal people. And the AI differences existed in the superior frontal, inferior frontal, and post-central, intra-parietal sulci. Taken together, our results showed sulcal morphology changes in MCI patients and therefore provided insights into the cognitive decline process.
  • Keywords
    biomedical MRI; brain; geriatrics; medical disorders; medical image processing; neurophysiology; 3D gyrification indexes; MCI; MMSE score; MoCA score; Montreal cognitive assessment; asymmetry index; average depth; bottom length; cerebral hemispheres; dementia; gray matter atrophy; inferior frontal sulci; intraparietal sulci; left superior sulci; maximum depth; mild cognitive impairment patients; mini-mental state examination; morphological metrics; normal elderly subjects; post central sulci; quantitative surface based method; sulcal morphology; top length; white matter atrophy; Aging; Alzheimer´s disease; Artificial intelligence; Educational institutions; Indexes; Magnetic resonance imaging; Morphology; 3D-GI; AI; BrainVISA; MMSE; MoCA; depth; length; sulcus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9351-7
  • Type

    conf

  • DOI
    10.1109/BMEI.2011.6098293
  • Filename
    6098293