Advertisement

Topics

Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

08:00 EDT 3rd April 2019 | BioPortfolio

Summary of "Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease."

In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of cortical atrophy in some frontotemporal dementia (FTD) patients and overlapping patterns of atrophy among three FTD clinical syndromes including behavioral variant FTD (bvFTD), non-fluent/agrammatic variant primary progressive aphasia (nfvPPA), and semantic variant PPA (svPPA) give rise to the need for classification models at the individual level. In this study, we aimed to classify each individual subject into one of the diagnostic categories in a hierarchical manner by employing a machine learning-based classification method.

Affiliation

Journal Details

This article was published in the following journal.

Name: NeuroImage. Clinical
ISSN: 2213-1582
Pages: 101811

Links

DeepDyve research library

PubMed Articles [19878 Associated PubMed Articles listed on BioPortfolio]

Morphometric MRI as a diagnostic biomarker of frontotemporal dementia: A systematic review to determine clinical applicability.

Frontotemporal dementia (FTD) is difficult to diagnose, due to its heterogeneous nature and overlap in symptoms with primary psychiatric disorders. Brain MRI for atrophy is a key biomarker but lacks s...

Quantitative Measurements of Motor Function in Alzheimer's Disease, Frontotemporal Dementia, and Dementia with Lewy Bodies: A Proof-of-Concept Study.

This study examines the efficacy of using quantitative measurements of motor dysfunction, compared to clinical ratings, in Alzheimer's disease (AD), frontotemporal dementia (FTD), and dementia with Le...

Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern analysis (MVPA) for the diagnosis of brain ...

Individual Prediction of Behavioral Variant Frontotemporal Dementia Development Using Multivariate Pattern Analysis of Magnetic Resonance Imaging Data.

Patients with behavioral variant of frontotemporal dementia (bvFTD) initially may only show behavioral and/or cognitive symptoms that overlap with other neurological and psychiatric disorders. The dia...

Genetic screen in a large series of patients with primary progressive aphasia.

Primary progressive aphasia (PPA) is a neurological syndrome, associated with both frontotemporal dementia and Alzheimer's disease, in which progressive language impairment emerges as the most salient...

Clinical Trials [6583 Associated Clinical Trials listed on BioPortfolio]

Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects

This study is being done to learn more about normal thinking and behavior, mild thinking and behavior problems, Frontotemporal Dementia and other forms of dementia in families in which one...

Clinical Utility of Flutemetamol in the Differential Diagnosis and Prognosis of Alzheimer's and Frontotemporal Dementia

The study examines subjects with a differential diagnosis of frontotemporal lobe dementia and Alzheimer's dementia. In these subjects the impact of a Flutemetamol-PET-Scan on clinical mana...

Efficacy of Tablet-Based Social-Cognitive Interventions in Right Hemisphere Stroke and Frontotemporal Dementia

This study is being done to test the feasibility and effectiveness of iPad-based social-cognitive training exercises in treating social-emotional deficits in patients with stroke or fronto...

Open Label Pilot Study of the Effects of Memantine on FDG-PET in Frontotemporal Dementia

Memantine has been approved for use in Alzheimer's disease. Its mechanism of action raises questions of whether it can also be effective for non-Alzheimer's dementias such as frontotempora...

Efficacy and Tolerability of Memantine in Frontotemporal Dementia (FTD) Patients

The purpose of this trial is to assess the efficacy and tolerability of memantine (anti-excitotoxic, neuroprotective treatment currently used in Alzheimer's disease [AD]) in frontotemporal...

Medical and Biotech [MESH] Definitions

SUPERVISED MACHINE LEARNING algorithm which learns to assign labels to objects from a set of training examples. Examples are learning to recognize fraudulent credit card activity by examining hundreds or thousands of fraudulent and non-fraudulent credit card activity, or learning to make disease diagnosis or prognosis based on automatic classification of microarray gene expression profiles drawn from hundreds or thousands of samples.

A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.

A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.

Heterogeneous group of neurodegenerative disorders characterized by frontal and temporal lobe atrophy associated with neuronal loss, gliosis, and dementia. Patients exhibit progressive changes in social, behavioral, and/or language function. Multiple subtypes or forms are recognized based on presence or absence of TAU PROTEIN inclusions. FTLD includes three clinical syndromes: FRONTOTEMPORAL DEMENTIA, semantic dementia, and PRIMARY PROGRESSIVE NONFLUENT APHASIA.

The most common clinical form of FRONTOTEMPORAL LOBAR DEGENERATION, this dementia presents with personality and behavioral changes often associated with disinhibition, apathy, and lack of insight.

Advertisement
Quick Search
Advertisement
Advertisement

 


DeepDyve research library

Relevant Topics

Neurology - Central Nervous System (CNS)
Alzheimer's Disease Anesthesia Anxiety Disorders Autism Bipolar Disorders Dementia Epilepsy Multiple Sclerosis (MS) Neurology Pain Parkinson's Disease Sleep Disorders Neurology is the branch of me...

Alzheimer's Disease
Of all the types of Dementia, Alzheimer's disease is the most common, affecting around 465,000 people in the UK. Neurons in the brain die, becuase  'plaques' and 'tangles' (mis-folded proteins) form in the brain. People with Al...


Searches Linking to this Article