Resting-state multi-spectrum functional connectivity networks for identification of MCI patients

10.1371/journal.pone.0037828

Saved in:

Bibliographic Details
Main Authors:	Wee C.-Y., Yap P.-T., Denny K., Browndyke J.N., Potter G.G., Welsh-Bohmer K.A., Wang L., Shen D.
Other Authors:	BIOMEDICAL ENGINEERING
Format:	Article
Published:	2019
Subjects:	accuracy adult aged article BOLD signal classification classifier clinical article controlled study diagnostic value female functional magnetic resonance imaging human male mild cognitive impairment nerve cell network neuroimaging orbital cortex parietal lobe prefrontal cortex receiver operating characteristic support vector machine temporal lobe aging basal metabolic rate brain computer assisted diagnosis metabolism multivariate analysis nuclear magnetic resonance imaging pathology pathophysiology Aged Aging Basal Metabolism Brain Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Mild Cognitive Impairment Multivariate Analysis Nerve Net Neuroimaging
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/161977
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-161977
record_format	dspace
spelling	sg-nus-scholar.10635-1619772024-11-10T07:04:51Z Resting-state multi-spectrum functional connectivity networks for identification of MCI patients Wee C.-Y. Yap P.-T. Denny K. Browndyke J.N. Potter G.G. Welsh-Bohmer K.A. Wang L. Shen D. BIOMEDICAL ENGINEERING accuracy adult aged article BOLD signal classification classifier clinical article controlled study diagnostic value female functional magnetic resonance imaging human male mild cognitive impairment nerve cell network neuroimaging orbital cortex parietal lobe prefrontal cortex receiver operating characteristic support vector machine temporal lobe aging basal metabolic rate brain computer assisted diagnosis metabolism multivariate analysis neuroimaging nuclear magnetic resonance imaging pathology pathophysiology Aged Aging Basal Metabolism Brain Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Mild Cognitive Impairment Multivariate Analysis Nerve Net Neuroimaging 10.1371/journal.pone.0037828 PLoS ONE 7 5 e37828 2019-11-11T06:38:44Z 2019-11-11T06:38:44Z 2012 Article Wee C.-Y., Yap P.-T., Denny K., Browndyke J.N., Potter G.G., Welsh-Bohmer K.A., Wang L., Shen D. (2012). Resting-state multi-spectrum functional connectivity networks for identification of MCI patients. PLoS ONE 7 (5) : e37828. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0037828 19326203 https://scholarbank.nus.edu.sg/handle/10635/161977 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	accuracy adult aged article BOLD signal classification classifier clinical article controlled study diagnostic value female functional magnetic resonance imaging human male mild cognitive impairment nerve cell network neuroimaging orbital cortex parietal lobe prefrontal cortex receiver operating characteristic support vector machine temporal lobe aging basal metabolic rate brain computer assisted diagnosis metabolism multivariate analysis neuroimaging nuclear magnetic resonance imaging pathology pathophysiology Aged Aging Basal Metabolism Brain Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Mild Cognitive Impairment Multivariate Analysis Nerve Net Neuroimaging
spellingShingle	accuracy adult aged article BOLD signal classification classifier clinical article controlled study diagnostic value female functional magnetic resonance imaging human male mild cognitive impairment nerve cell network neuroimaging orbital cortex parietal lobe prefrontal cortex receiver operating characteristic support vector machine temporal lobe aging basal metabolic rate brain computer assisted diagnosis metabolism multivariate analysis neuroimaging nuclear magnetic resonance imaging pathology pathophysiology Aged Aging Basal Metabolism Brain Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Mild Cognitive Impairment Multivariate Analysis Nerve Net Neuroimaging Wee C.-Y. Yap P.-T. Denny K. Browndyke J.N. Potter G.G. Welsh-Bohmer K.A. Wang L. Shen D. Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
description	10.1371/journal.pone.0037828
author2	BIOMEDICAL ENGINEERING
author_facet	BIOMEDICAL ENGINEERING Wee C.-Y. Yap P.-T. Denny K. Browndyke J.N. Potter G.G. Welsh-Bohmer K.A. Wang L. Shen D.
format	Article
author	Wee C.-Y. Yap P.-T. Denny K. Browndyke J.N. Potter G.G. Welsh-Bohmer K.A. Wang L. Shen D.
author_sort	Wee C.-Y.
title	Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
title_short	Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
title_full	Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
title_fullStr	Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
title_full_unstemmed	Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
title_sort	resting-state multi-spectrum functional connectivity networks for identification of mci patients
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161977
_version_	1821224958869635072

Resting-state multi-spectrum functional connectivity networks for identification of MCI patients

Similar Items