Early Alzheimer’s Disease Progression Detection using Multi-subnetworks of the Brain

Jaroslav Rokicki, Hiyoshi Kazuko, Francois-Benoit Vialatte, Andrius Ušinskas, Andrzej Cichocki

Abstract

Alzheimer’s disease is neurodegenerative disorder believed to affect 24.3 million people worldwide. Proposed MRI based disease progression markers have shown ability to perform the classification between the Alzheimer’s Disease (AD), Mild Cognitive Impariment (MCI) and Normal Cognitive (NC) subjects. We exploited two approaches, first one is to use single sub-network volume as a feature, second to use a network of most discriminative sub-networks. Multi-feature approach showed improvement by 4.5% in AD/NC classification case, and 1.5 % in MCI/NC case. Study was summarized for 48 AD, 119 MCI and 66 NC subjects.

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Paper Citation


in Harvard Style

Rokicki J., Kazuko H., Vialatte F., Ušinskas A. and Cichocki A. (2012). Early Alzheimer’s Disease Progression Detection using Multi-subnetworks of the Brain . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 684-691. DOI: 10.5220/0004182806840691


in Bibtex Style

@conference{sscn12,
author={Jaroslav Rokicki and Hiyoshi Kazuko and Francois-Benoit Vialatte and Andrius Ušinskas and Andrzej Cichocki},
title={Early Alzheimer’s Disease Progression Detection using Multi-subnetworks of the Brain},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012)},
year={2012},
pages={684-691},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004182806840691},
isbn={978-989-8565-33-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012)
TI - Early Alzheimer’s Disease Progression Detection using Multi-subnetworks of the Brain
SN - 978-989-8565-33-4
AU - Rokicki J.
AU - Kazuko H.
AU - Vialatte F.
AU - Ušinskas A.
AU - Cichocki A.
PY - 2012
SP - 684
EP - 691
DO - 10.5220/0004182806840691