Abstract
Background: Perseveration - repetition of words, phrases or questions in speech - is commonly described in Alzheimer’s disease (AD). Measuring perseveration is difficult, but may index cognitive performance, aiding diagnosis and disease monitoring. Continuous recording of speech would produce a large quantity of data requiring painstaking manual analysis, and risk violating patients’ and others’ privacy. A secure record and an automated approach to analysis are required.
Objectives: To record bone-conducted acoustic energy fluctuations from a subject’s vocal apparatus using an accelerometer, to describe the recording and analysis stages in detail, and demonstrate that the approach is feasible in AD. Methods: Speech-related vibration was captured by an accelerometer, affixed above the temporomandibular joint. Healthy subjects read a script with embedded repetitions. Features were extracted from recorded signals and combined using Principal Component Analysis to obtain a one-dimensional representation of the feature vector. Motif discovery techniques were used to detect repeated segments. The equipment was tested in AD patients to determine device acceptability and recording quality. Results: Comparison with the known location of embedded motifs suggests that, with appropriate parameter tuning, the motif discovery method can detect repetitions. The device was acceptable to patients and produced adequate signal quality in their home environments. Conclusion: We established that continuously recording bone-conducted speech and detecting perseverative patterns were both possible. In future studies we plan to associate the frequency of verbal repetitions with stage, progression and type of dementia. It is possible that the method could contribute to the assessment of disease-modifying treatments.Keywords: Alzheimer's disease, perseveration, bone-conducted speech, motif discovery, principal component analysis.
Current Alzheimer Research
Title:Motif Discovery in Speech: Application to Monitoring Alzheimer’s Disease
Volume: 14 Issue: 9
Author(s): Peter Garrard*, Vanda Nemes, Dragana Nikolic and Anna Barney
Affiliation:
- Molecular and Clinical Sciences Research Institute, St George’s, University of London, London SW17 0RE,United Kingdom
Keywords: Alzheimer's disease, perseveration, bone-conducted speech, motif discovery, principal component analysis.
Abstract: Background: Perseveration - repetition of words, phrases or questions in speech - is commonly described in Alzheimer’s disease (AD). Measuring perseveration is difficult, but may index cognitive performance, aiding diagnosis and disease monitoring. Continuous recording of speech would produce a large quantity of data requiring painstaking manual analysis, and risk violating patients’ and others’ privacy. A secure record and an automated approach to analysis are required.
Objectives: To record bone-conducted acoustic energy fluctuations from a subject’s vocal apparatus using an accelerometer, to describe the recording and analysis stages in detail, and demonstrate that the approach is feasible in AD. Methods: Speech-related vibration was captured by an accelerometer, affixed above the temporomandibular joint. Healthy subjects read a script with embedded repetitions. Features were extracted from recorded signals and combined using Principal Component Analysis to obtain a one-dimensional representation of the feature vector. Motif discovery techniques were used to detect repeated segments. The equipment was tested in AD patients to determine device acceptability and recording quality. Results: Comparison with the known location of embedded motifs suggests that, with appropriate parameter tuning, the motif discovery method can detect repetitions. The device was acceptable to patients and produced adequate signal quality in their home environments. Conclusion: We established that continuously recording bone-conducted speech and detecting perseverative patterns were both possible. In future studies we plan to associate the frequency of verbal repetitions with stage, progression and type of dementia. It is possible that the method could contribute to the assessment of disease-modifying treatments.Export Options
About this article
Cite this article as:
Garrard Peter *, Nemes Vanda, Nikolic Dragana and Barney Anna , Motif Discovery in Speech: Application to Monitoring Alzheimer’s Disease, Current Alzheimer Research 2017; 14 (9) . https://dx.doi.org/10.2174/1567205014666170309121025
DOI https://dx.doi.org/10.2174/1567205014666170309121025 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
New Advances in the Prevention, Diagnosis, Treatment, and Rehabilitation of Alzheimer's Disease
Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
Current updates on the Role of Neuroinflammation in Neurodegenerative Disorders
Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
Deep Learning for Advancing Alzheimer's Disease Research
Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
Diagnostic and therapeutic biomarkers of dementia
Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Depressed or Demented: Common CNS Drug Targets? !
Current Drug Targets - CNS & Neurological Disorders A Synopsis on the Role of Tyrosine Hydroxylase in Parkinson’s Disease
CNS & Neurological Disorders - Drug Targets Depression and Vascular Disease: Conceptual Issues, Relationships and Clinical Implications
Vascular Disease Prevention (Discontinued) Towards Newer Molecular Targets for Chronic Diabetic Complications
Current Vascular Pharmacology The Multifunctional Mesencephalic Locomotor Region
Current Pharmaceutical Design Modulation of Neuro-Inflammation and Vascular Response by Oxidative Stress Following Cerebral Ischemia-Reperfusion Injury
Current Medicinal Chemistry Ginkgo Biloba for Mild Cognitive Impairment and Alzheimer’s Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Current Topics in Medicinal Chemistry Neurotrophins Role in Depression Neurobiology: A Review of Basic and Clinical Evidence
Current Neuropharmacology Patent Selections
Recent Patents on CNS Drug Discovery (Discontinued) Prospects for Early Detection of Alzheimers Disease from Serial MR Images in Transgenic Mouse Models
Current Alzheimer Research Possible Involvement of Advanced Glycation End-Products (AGEs) in the Pathogenesis of Alzheimers Disease
Current Pharmaceutical Design Brain Network Connectivity Mediates Education-related Cognitive Performance in Healthy Elderly Adults
Current Alzheimer Research Oxidative Stress in Post-Acute Ischemic Stroke Patients after Intensive Neurorehabilitation
Current Neurovascular Research Diagnosis in PANDAS: An Update
Current Psychiatry Research and Reviews Small Molecule Inhibitors of Peptidylprolyl cis/trans Isomerase
Current Enzyme Inhibition Invokana (Canagliflozin) as a Dual Inhibitor of Acetylcholinesterase and Sodium Glucose Co-Transporter 2: Advancement in Alzheimer’s Disease- Diabetes Type 2 Linkage via an Enzoinformatics Study
CNS & Neurological Disorders - Drug Targets “The Future Magic Bullet”: A Review of Pharmacological Activities of Ethyl Pyruvate and its Derivatives
Current Drug Therapy Current Strategies and Novel Drug Approaches for Alzheimer Disease
CNS & Neurological Disorders - Drug Targets Target Organ Damage in Hypertension: Pathophysiology and Implications for Drug Therapy
Current Pharmaceutical Design Current Experimental Therapy for Alzheimers Disease
Current Neuropharmacology