We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Volumetric Analysis of Regional Atrophy for the Differential Diagnosis of AD and FTD

by Tinu Varghese, Sheela Kumari R, P. S Mathuranath
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 20
Year of Publication: 2013
Authors: Tinu Varghese, Sheela Kumari R, P. S Mathuranath
10.5120/10215-5059

Tinu Varghese, Sheela Kumari R, P. S Mathuranath . Volumetric Analysis of Regional Atrophy for the Differential Diagnosis of AD and FTD. International Journal of Computer Applications. 62, 20 ( January 2013), 43-48. DOI=10.5120/10215-5059

@article{ 10.5120/10215-5059,
author = { Tinu Varghese, Sheela Kumari R, P. S Mathuranath },
title = { Volumetric Analysis of Regional Atrophy for the Differential Diagnosis of AD and FTD },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 20 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number20/10215-5059/ },
doi = { 10.5120/10215-5059 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:12:26.673904+05:30
%A Tinu Varghese
%A Sheela Kumari R
%A P. S Mathuranath
%T Volumetric Analysis of Regional Atrophy for the Differential Diagnosis of AD and FTD
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 20
%P 43-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this study was to characterize the patterns of brain atrophy in Alzheimer's disease (AD) patients compared to FTD patients and healthy controls. This study assesses the brain gray matter (GM) and ROI abnormalities jointly to reveal differences in abnormal MRI patterns between the diseases. Hippocampal, amygdala and cingulate gyrus volume was measured by Magnetic Resonance Imaging in patients with AD (n=25), FTD (n=10) and in healthy control subjects (n= 20) The neuropsychological assessment was used to stratify subjects according to cognitive functions VBM was performed to characterize the voxel wise analysis of neuro anatomic changes that occur in AD and FTD based on 3D flash spoiled gradient sequence using standard parameters. Our findings suggest that the magnitude of amygdale atrophy is comparable to that of the hippocampus in the earliest clinical stages of AD and FTD. The severity of dementia increased associated with decreasing hippocampal volume. Measurement of hippocampal and amgdalar regions may facilitate differentiation between dementia subtypes. In this study, there was no evidence that cingulate regional atrophy is specifically associated with early-onset AD and FTD

References
  1. Alistair Burns. , Michael, Zaudig. "Mild cognitive impairment in older people". Lancet. 360: 1963-65(2002).
  2. Richard, J. P. , Anne, M. F. , David, M. H. "Multimodal Technique for diagnosis and prognosis of AD". Nature. 461(2009).
  3. Mathuranath, P. S. , Mathew R. "Role of subjective memory complaints in defing MCI". Neurobiology of Aging. 25: 74-79(2004).
  4. Rahul, S Desikan. , Howard, J. C. "Automated MRI measures identify individuals with MCI and AD". Brain. 132: 2048-2057(2009).
  5. D. P Devanand, Liu J, Hao X, Pradhaban G, Peterson BS. "MRI hippocampal and entorhinal cortex mapping in predicting conversion to AD", Neuroimage, 60, pp. 1622-1629. (2012)
  6. Barbro, robertson. ,Monica, Nordstorm. , Helle,Wijk. I"nvestigating poor insight in AD: A survey research approaches". Dementia. 6:44-61(2007)
  7. Gary, W. S. , Thomsun, P. M. , Colegm. . Current and future uses of neurimaging for cognitively impaired patients. Neurology. 79 (2008)
  8. Graff-Radford NR, Woodruff BK. Frontotemporal dementia. Semin Neurol 27(1):48-57(2007)
  9. Perry RJ, Graham A, Williams G, Rosen H, Erzinclioglu S, Weiner M, et al. Patterns of frontal lobe atrophy in frontotemporal dementia: a volumetric MRI study. Dement Geriatr Cogn Disord 2006;22(4):278-87
  10. Keith A. Josephs, MST, MD. "Frontotemporal Dementia and Related Disorders: Deciphering the Enigma". Ann Neurol. 64:4–14(2008)
  11. Jennifer L. Whitewell. "VBM: An automated technique for assessing structural changes in the brain", Journal of Neuroscience, 29,pp. 9661-9664(2009)
  12. Ashburner J, Karl J. Friston. " Voxel based Morphometry -The methods. Neuroimage, 11, pp. 805–821 (2000)
  13. Stéphane P. Poulin , Rebecca Dautoff , John C. Morris,Lisa Feldman Barrett , Bradford C. Dickerson. "Amygdala atrophy is prominent in early Alzheimer's disease and relates to
  14. symptom severity", Psychiatry Research: Neuroimaging. 194 : 7–13(2011)
  15. G. Zamboni, MD, E. D. Huey, MD, F. Krueger, PhD, P. F. Nichelli, MD,J. Grafman, PhD. " Apathy and disinhibition in frontotemporal dementia". Neurology. 71:736–742(2008)
  16. G. D. Rabinovici, MD, W. W. Seeley, MD, E. J. Kim, MD, M. L. Gorno-Tempini, et al . "Distinct MRI Atrophy Patterns in Autopsy-Proven Alzheimer's Disease and Frontotemporal Lobar Degeneration". Am J Alzheimers Dis Other Demen. 22(6): 474–488(2007)
  17. Grossman M, McMillan C, Moore P, et al. What's in a name: voxel-based morphometric analyses of MRI and naming difficulty in Alzheimer's disease, frontotemporal dementia and corticobasal degeneration. Brain 2004;127:628–649.
  18. Michael PL, Devita. C, James CG, Grossman. M. Using Voxel-Based Morphometry to Examine Atrophy-Behavior Correlates in Alzheimer's Disease and Frontotemporal Dementia. In: Medical Image Computing and Computer-Assisted Intervention. . Springer Berlin / Heidelberg; 2002. p. 770-776.
  19. Den Heijer, T. , Geerlings, M. I. , Hoebeek, F. E. , Hofman, A. , Koudstaal, P. J. , Breteler, M. M. ,. Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people. Archives of General Psychiatry 63, 57–62(2006)
  20. Andrea Mechelli, Cathy J. Price, Karl J. Friston, John Ashburner. "Voxel-Based Morphometry of the Human Brain: Methods and Applications, Current Medical Imaging Reviews, 2005, 1, 1-9 (2005)
Index Terms

Computer Science
Information Sciences

Keywords

Alzheimer's disease Frontotemporal Dementia Voxel Based Morphometry Mini Mental State Examination

Powered by PhDFocusTM