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MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation [article]

Xu Tian, Jin Liu, Hulin Kuang, Yu Sheng, Jianxin Wang, The Alzheimer's Disease Neuroimaging Initiative
2022 arXiv   pre-print
To comprehensively address this challenge, we propose a MRI-based multi-task decoupled learning method for AD detection and MMSE score prediction.  ...  Accurately detecting Alzheimer's disease (AD) and predicting mini-mental state examination (MMSE) score are important tasks in elderly health by magnetic resonance imaging (MRI).  ...  In this study, we propose a MRI-based multi-task decoupling learning (MTRL) method for AD detection and MMSE score prediction. The framework of our proposed method is shown in Fig. 1 .  ... 
arXiv:2204.01708v2 fatcat:4d4n2ctdjrbplnr6laqapt5ksa

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments

Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Alzheimer's Disease (AD) is a chronic neurodegenerative disease that severely impacts patients' thinking, memory and behavior.  ...  The learned global and local projections are aligned by a soft constraint and the structured-sparsity norm is used to uncover the multi-modal structure of heterogeneous biomarker measurements.  ...  With the fixed-length biomarker representations, we can easily use conventional learning methods to predict the clinical outcomes for early AD detections.  ... 
doi:10.1609/aaai.v34i01.5426 fatcat:7ijhzfbt3rhg7h6n7g4bn2nvli

Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels [article]

Alexander Lavin
2021 arXiv   pre-print
We run evaluations on the problem of Alzheimer's disease prediction, yielding results that surpass deep learning in both accuracy and timeliness of predicting neurodegeneration, and with the practical  ...  We present a probabilistic programmed deep kernel learning approach to personalized, predictive modeling of neurodegenerative diseases.  ...  The driving aim for longitudinal modeling Alzheimer's disease is to provide predictions that enable early detection of atrisk subjects and possibly reveal latent disease mechanisms.  ... 
arXiv:2009.07738v3 fatcat:snzegvlnyzdn3fibg56wsurbki

Abstracts Presented at the Thirty–Third Annual International Neuropsychological Society Conference, February 2–5, 2005, St. Louis, Missouri, USA

2005 Journal of the International Neuropsychological Society  
s (2001) proposed validity curoff scores for malingering detection (F > 29, F-K > 18, or Ds2 > 35).  ...  Further Validation of the Expanded Auditory Verbal Learning Test for Detecting Poor Effort and Malingering: Data from Temporal Lobectomy Candidates.  ...  Subjects were excluded based on Mini-Mental Status Exam (MMSE) scores (<25) consistent with dementia.  ... 
doi:10.1017/s1355617705059916 fatcat:qu62kn3sqfgnlhda5oxtruv5wq

Final Program, Fortieth Annual Meeting International Neuropsychological Society February 15–18, 2012 Montréal, Québec, Canada

2012 Journal of the International Neuropsychological Society  
In this symposium a panel of neuropsychologists will provide direction and insights towards developing a program of sustained externally funded research.  ...  Comprised of senior faculty, members of the panel have successfully obtained NIH funding for their research, currently serve as reviewers on NIH grant panels, and have mentored junior scientists towards  ...  ) task and a color-based flanker task.  ... 
doi:10.1017/s1355617712000537 fatcat:4p2fkgxxzna3vcf3uxxgac6rsi

Poster Papers

1997 Brain and Cognition  
Sensitivity, specificity, and predictive value (positive and negative) tests showed SRT, Trail Making A, and Digit Span to be the most robust differentiators between the two groups.  ...  disease (PD) patients' performance in recognition was assessed with different paradigms aimed at detecting specific impairments that would not appear in traditional testing.  ...  A., Smith, A. D.,Szatmari, M. et al. 1992. Detection in life of confirmed Alzheimer's disease using a simple measurement of medial temporal lobe atrophy by computed tomography.  ... 
doi:10.1006/brcg.1997.0966 fatcat:tbidfsjdavfcrpvxzennx3wytm

A Novel Virtual Coaching System Based on Personalized Clinical Pathways for Rehabilitation of Older Adults—Requirements and Implementation Plan of the vCare Project

Sofoklis Kyriazakos, Hannes Schlieter, Kai Gand, Massimo Caprino, Massimo Corbo, Peppino Tropea, Elda Judica, Irma Sterpi, Stefan Busnatu, Patrick Philipp, Jordi Rovira, Alvaro Martínez (+7 others)
2020 Frontiers in Digital Health  
Home-based rehabilitation after an acute episode or following an exacerbation of a chronic disease is often problematic with a clear lack of continuity of care between hospital and home care.  ...  In this paper, we are presenting a novel virtual coaching system that will address these challenges by combining recent technological advances with clinical pathways, based on joint research and validation  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fdgth.2020.546562 pmid:34713034 pmcid:PMC8521911 fatcat:2tufodfg4ndsld5wkkszktqld4

Poster Session 2, Monday 27 September

2010 European Journal of Neurology  
There were no significant differences in DISC and APS scales. Conclusion: The MMSE-2 might be a good tool for detection and prediction of ICD in Parkinson's disease.  ...  Discussion: Current risk stratification tools such as the ABCD2 and RRE-90 scores reliably predict stroke risk 14 and 90 days following a TIA but there is currently no validated tool for risk stratifying  ...  Patients with incontinence symptom had lower MMSE-K scores than those with continent symptom. The QoL score showed a high correlation with the total IPSS score (p< 0.05).  ... 
doi:10.1111/j.1468-1331.2010.03233.x fatcat:lsellp2xyvc77c7gr7qbzu6coi

1H NMR metabolomics identifies underlying inflammatory pathology in osteoarthritis and rheumatoid arthritis synovial joints

James R. Anderson, Susama Chokesuwattanaskul, Marie M. Phelan, Tim JM Welting, Lu-Yun Lian, Mandy J Peffers, Helen L. Wright
2018 Journal of Proteome Research  
of disease pathogenesis.  ...  SF was aspirated from knee joints of 10 OA and 14 RA patients. 100 μL SF was analyzed using a 700 MHz Avance IIIHD Bruker NMR spectrometer with a TCI cryoprobe.  ...  Jouko Vepsäläinen for his skillful guidance and his invaluable help in making this thesis finally rise from the lyophilized remains of CSF. Thank you. Additionally, I thank my other supervisors, Dr.  ... 
doi:10.1021/acs.jproteome.8b00455 pmid:30229649 pmcid:PMC6220363 fatcat:rh2c4czluzecza7bg7jevfivmq

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
'', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant.  ...  Acknowledgments The authors wish to thank Fundación CEIBA and Alcaldía Mayor de Bogotá, for the financial support of Ricardo Mendoza's PhD studies through the scholarship program ''Becas Rodolfo Llinás  ...  processes such as Alzheimer's disease and Multiple Sclerosis (MS).  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
We report the results of this analysis on 313 subjects from the Mild Cognitive Impairment group in the Alzheimer's Disease Neuroimaging Initiative (ADNI).  ...  In this paper, we consider a macrocell site underlaid with self-organized stand-alone femtocells and propose a mechanism for macro-to-femtocell handover, inspired by multi-stage Dutch auction.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Poster Session I

2015 Neuropsychopharmacology  
In this study, we evaluated whether ELS severity predicted GBC in subjects with a spectrum of ELS exposure. Methods: MRI images from 46 right-handed participants were used for this study.  ...  predicted GBC.  ...  Scans began with bolus injection of 475±210 MBq, and PET data were acquired for 120 min on a high resolution research tomograph (HRRT), featuring arterial blood sampling for measurement of the input function  ... 
doi:10.1038/npp.2015.325 pmid:26632286 pmcid:PMC4672310 fatcat:cqqyl6zydfeuxltv6zkqhn7qry

Poster Session II

2012 Neuropsychopharmacology  
Z-scores ranging from n ¼ 228/481 (47%) for the visual learning task to n ¼ 393/481 (82%) for the verbal learning task.  ...  They had MMSE scores 4 ¼ 24 and did not meet Petersen's criteria for MCI.  ...  In recognition of this, we sought to develop an ecologically valid objective measure of motivation using virtual reality (VR) technology coupled with a progressive ratio task, where subjects work for reward  ... 
doi:10.1038/npp.2012.220 fatcat:coblfrtlujc6hdycjbnrdwzslm

ACRT-SCTS Scholar Abstracts

2010 Clinical and Translational Science  
Control for potential confounding will be attempted using multi-variable adjustment, propensity score methods, and instrumental variable analysis.  ...  For polymorphisms without a published meta-analysis we performed one de novo, using allele-based random effects models.  ...  The objective of this study is to derive and validate a clinical prediction rule to identify patients at high risk for these events.  ... 
doi:10.1111/j.1752-8062.2010.00181_2.x fatcat:lwvd6nteozgezazejeqpjupawu

Abstracts of the 4th World Parkinson Congress, September 20–23, 2016, Portland, OR, USA

2016 Journal of Parkinson's Disease  
PD is a multi-system disorder and although dopaminergic replacement therapies are highly effective for ameliorating motor symptoms, other features of the disease require a more holistic approach.  ...  Evidence-based treatments for speech changes in early PD, such as the Lee Silverman Voice Treatment (LSVT LOUD), exist.  ...  obtained in a Phase 2a clinical trial for Alzheimer's disease (ANAVEXTM Life Science Corp).  ... 
doi:10.3233/jpd-169900 pmid:27589541 fatcat:ld522ggsvvceriigc4fi7e5g7q
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