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Title: Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso

Journal Article · · ACM Transactions on Knowledge Discovery from Data
DOI:https://doi.org/10.1145/3230668· OSTI ID:1557047
 [1];  [2];  [3];  [2];  [4]
  1. Northeastern Univ., Shenyang (China); Univ. of Minnesota, Minneapolis, MN (United States)
  2. Northeastern Univ., Shenyang (China)
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  4. Univ. of Minnesota, Minneapolis, MN (United States)
+ Show Author Affiliations

Alzheimer’s disease (AD), the most common type of dementia, not only imposes a huge financial burden on the health care system, but also a psychological and emotional burden on patients and their families. There is furthermore an urgent need to infer trajectories of cognitive performance over time and identify biomarkers predictive of the progression. Here, we introduce the multi-task learning with fused Laplacian sparse group lasso model, which can identify biomarkers closely related to cognitive measures due to its sparsity-inducing property, and model the disease progression with a general weighted (undirected) dependency graphs among the tasks. An efficient alternative directions method of multipliers based optimization algorithm is derived to solve the proposed non-smooth objective formulation. The effectiveness of the presented model is demonstrated by its superior prediction performance over multiple state-of-the-art methods and accurate identification of compact sets of cognition-relevant imaging biomarkers that are consistent with prior medical studies.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); National Natural Science Foundation of China (NSF)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1557047
Report Number(s):
LLNL-JRNL-753218; 939429
Journal Information:
ACM Transactions on Knowledge Discovery from Data, Vol. 12, Issue 6; ISSN 1556-4681
Publisher:
Association for Computing MachineryCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

References (60)

Hippocampal and entorhinal atrophy in mild cognitive impairment: Prediction of Alzheimer disease journal March 2007
Efficient Methods for Overlapping Group Lasso journal September 2013
Entorhinal cortex pathology in Alzheimer's disease journal January 1991
Modeling disease progression via multi-task learning journal September 2013
Atrophy in the parahippocampal gyrus as an early biomarker of Alzheimer’s disease journal October 2010
Predicting progression of Alzheimer's disease journal January 2010
Functional connectivity of the fusiform gyrus during a face-matching task in subjects with mild cognitive impairment journal March 2006
Alzheimer's disease journal February 2009
Classification of CT brain images based on deep learning networks journal January 2017
Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer's disease journal December 2013
Laplacian matrices of graphs: a survey journal January 1994
Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials journal April 2017
Alterations in Cortical Thickness and White Matter Integrity in Mild Cognitive Impairment Measured by Whole-Brain Cortical Thickness Mapping and Diffusion Tensor Imaging journal March 2009
Super-resolution photoacoustic and ultrasound imaging with sparse arrays journal March 2020
An efficient algorithm for a class of fused lasso problems conference January 2010
Sparsity and smoothness via the fused lasso journal February 2005
Subregions of the inferior parietal lobule are affected in the progression to Alzheimer's disease journal August 2010
Convex Multi-Task Feature Learning journal January 2007
Locally linear embedding (LLE) for MRI based Alzheimer's disease classification journal December 2013
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems journal January 2009
On areas of transition between entorhinal allocortex and temporal isocortex in the human brain. Normal morphology and lamina-specific pathology in Alzheimer's disease journal January 1985
Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort journal August 2009
Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming journal January 2012
Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment journal November 2015
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent journal October 2014
Efficient Euclidean projections in linear time conference January 2009
Optimization with Sparsity-Inducing Penalties journal January 2011
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest journal October 2016
Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm journal January 2015
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆ journal February 2009
Vision in Alzheimer's Disease journal June 1995
MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical change journal July 2009
Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database journal September 2010
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning journal July 2014
RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning journal April 2021
Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers journal April 2016
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction journal January 2008
Group sparse optimization by alternating direction method conference September 2013
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest text January 2016
Predicting clinical scores from magnetic resonance scans in Alzheimer's disease journal July 2010
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease journal January 2012
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification text January 2016
Test-retest reliable coefficients and 5-year change scores for the MMSE and 3MS journal June 2005
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification journal March 2016
Parallel Multi-Block ADMM with o(1 / k) Convergence journal November 2016
The Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans journal May 2010
Alzheimer'S Disease journal March 1943
A multi-task learning formulation for predicting disease progression conference January 2011
Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing journal January 2011
The clinical use of structural MRI in Alzheimer disease journal February 2010
Empowering imaging biomarkers of Alzheimer's disease journal January 2015
Convex multi-task feature learning journal January 2008
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data journal June 2012
Alpha-Band Hypersynchronization in Progressive Mild Cognitive Impairment: A Magnetoencephalography Study journal October 2014
Heterogeneous data fusion for alzheimer's disease study conference January 2008
On the linear convergence of the alternating direction method of multipliers journal July 2016
Multitask Learning journal January 1997
3D Mapping of Mini-mental State Examination Performance in Clinical and Preclinical Alzheimer Disease journal January 2006
Stability selection: Stability Selection journal July 2010
Parallel Multi-Block ADMM with o(1/k) Convergence preprint January 2013

Cited By (1)

Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer’s Disease Progression journal February 2020

Figures / Tables (19)

Fig. 1(p. 7)figure Fig. 1
Fig. 2(p. 8)figure Fig. 2
Table I(p. 17)table Table I
Table II(p. 17)table Table II
Table III(p. 18)table Table III
Table IV(p. 18)table Table IV
Fig. 3(p. 20)figure Fig. 3
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Table V Part 1(p. 22)table Table V Part 1
Table V Part 2(p. 23)table Table V Part 2
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Table VI(p. 28)table Table VI
Fig. 9(p. 29)figure Fig. 9
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Fig. 11(p. 31)figure Fig. 11
Table VII(p. 31)table Table VII

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
97 MATHEMATICS AND COMPUTING
Alzheimer’s Disease
Disease Progression
Multi-task Learning
Graph Laplacian
ADMM