scholarly journals Changes in the Rhythm of Speech Difference between People with Nondegenerative Mild Cognitive Impairment and with Preclinical Dementia

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Juan J. G. Meilán ◽  
Francisco Martínez-Sánchez ◽  
Israel Martínez-Nicolás ◽  
Thide E. Llorente ◽  
Juan Carro

This study explores several speech parameters related to mild cognitive impairment, as well as those that might be flagging the presence of an underlying neurodegenerative process. Speech is an excellent biomarker because it is not invasive and, what is more, its analysis is rapid and economical. Our aim has been to ascertain whether the typical speech patterns of people with Alzheimer’s disease are also present during the disorder’s preclinical stages. To do so, we shall be using a task that involves reading out aloud. This is followed by an analysis of the recordings, looking for the possible parameters differentiating between those older people with MCI and a high probability of developing dementia and those with MCI that will not do so. We found that the disease’s most differentiating parameters prior to its onset involve changes in speech duration and an alteration in rhythm rate and intensity. These parameters seem to be related to the first difficulties in lexical access among older people with AD.

2018 ◽  
Vol 22 (5) ◽  
pp. 417-423 ◽  
Author(s):  
Jessica Gonçalves ◽  
Juliana Hotta Ansai ◽  
Fernando Arturo Arriagada Masse ◽  
Francisco Assis Carvalho Vale ◽  
Anielle Cristhine de Medeiros Takahashi ◽  
...  

2021 ◽  
Author(s):  
Kat Toups ◽  
Ann Hathaway ◽  
Deborah Gordon ◽  
Henrianna Chung ◽  
Cyrus Raji ◽  
...  

Abstract Importance: Effective therapeutics for Alzheimer's disease and mild cognitive impairment are needed. Objective: To determine whether a precision medicine approach to Alzheimer's disease and mild cognitive impairment, in which potential contributors to cognitive decline are identified and targeted therapeutically, is effective enough in a proof-of-concept trial to warrant a larger, randomized, controlled clinical trial. Rationale: Previous clinical trials for Alzheimer's disease have pre-determined a single treatment modality, such as a drug candidate or therapeutic procedure, that may be unrelated to the primary drivers of the neurodegenerative process. Therefore, increasing data set size to include the potential contributors to cognitive decline for each patient, and addressing the identified potential contributors, may represent a more effective therapeutic strategy. Hypothesis: Alzheimer's disease is a multi-factorial network dysfunction that results from a chronic or repeated insufficiency of support for a neuroplasticity network; thus factors that increase demand — such as infections or toxin exposure — or reduce support — such as reduced energetics or trophic support — may contribute to the neurodegenerative process. Rectifying this hypothesized network dysfunction represents a rational approach to the treatment of the cognitive decline associated with Alzheimer's disease and mild cognitive impairment. Design: Twenty-five patients with Alzheimer's disease or mild cognitive impairment, with Montreal Cognitive Assessment (MoCA) scores of 19 or higher, were evaluated for markers of inflammation, chronic infection, dysbiosis, insulin resistance, protein glycation, vascular disease, nocturnal hypoxemia, hormone insufficiency or dysregulation, nutrient deficiency, toxin or toxicant exposure (metals, organic toxicants, and biotoxins), genetic predisposition to cognitive decline, and other biochemical parameters associated with cognitive decline. Brain magnetic resonance imaging with volumetrics was performed at baseline and study conclusion. Patients were treated for nine months with a personalized, precision medicine protocol that addressed each patient's identified potentially contributory factors, and cognition was assessed at t = 0, 3, 6, and 9 months. Trial registration and IRB approval: The clinical trial was registered at clinicaltrials.gov (NCT03883633), 1 and approved by the Advarra IRB. Support for the trial: The trial was supported by a grant from the Four Winds Foundation via Evanthea, LLC, and we are grateful to Diana Merriam and Gayle Brown for their interest, discussions, and support. Main Outcome Measures: Trained external raters evaluated the study subjects with the Montreal Cognitive Assessment (MoCA), CNS Vital Signs (a computerized cognitive assessment battery), AQ-21 (a subjective scale completed by the significant other or study partner), and AQ-C change scale (a subjective scale of cognitive improvement or decline, completed by the significant other or study partner). Follow-up brain MRI with volumetrics was carried out at the completion of the trial. Results: All outcome measures revealed improvement: statistically highly significant improvement in MoCA scores, CNS Vital Signs Neurocognitive Index, and AQ-C were documented. No serious adverse events were recorded. Conclusions and Relevance: Based on the cognitive improvements observed in this study of patients with Alzheimer's disease or mild cognitive impairment, a larger, randomized, controlled trial of the precision medicine therapeutic approach described herein is warranted.


2019 ◽  
Vol 77 (11) ◽  
pp. 815-824 ◽  
Author(s):  
Conrado Regis Borges ◽  
Dalva Poyares ◽  
Ronaldo Piovezan ◽  
Ricardo Nitrini ◽  
Sonia Brucki

ABSTRACT The association between Alzheimer's disease (AD) and sleep disturbances has received increasing scientific attention in the last decades. However, little is known about the impact of sleep and its disturbances on the development of preclinical AD stages, such as mild cognitive impairment. This review describes the evolution of knowledge about the potential bidirectional relationships between AD and sleep disturbances exploring recent large prospective studies and meta-analyses and studies of the possible mechanisms through which sleep and the neurodegenerative process could be associated. The review also makes a comprehensive exploration of the sleep characteristics of older people, ranging from cognitively normal individuals, through patients with mild cognitive impairment, up to the those with dementia with AD.


2017 ◽  
Vol 96 (10) ◽  
pp. 700-705 ◽  
Author(s):  
Juliana Hotta Ansai ◽  
Larissa Pires de Andrade ◽  
Theresa Helissa Nakagawa ◽  
Francisco Assis Carvalho Vale ◽  
Maria Joana Duarte Caetano ◽  
...  

Motor Control ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Juliana Hotta Ansai ◽  
Larissa Pires de Andrade ◽  
Paulo Giusti Rossi ◽  
Theresa Helissa Nakagawa ◽  
Francisco Assis Carvalho Vale ◽  
...  

2018 ◽  
Vol 15 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Juan J.G. Meilan ◽  
Francisco Martinez-Sanchez ◽  
Juan Carro ◽  
Nuria Carcavilla ◽  
Olga Ivanova

Background: Recent studies have identified the correlation between dementia and certain vocal features, such as voice and speech changes. Vocal features may act as early markers of Alzheimer's disease (AD). Despite being present in non-pathological senescence and Mild Cognitive Impairment, especially in its amnesic subtype (aMCI), these voice- and speech-related symptoms are the first signs of AD. The purpose of this study is to verify whether these signs are related to deficits in lexical access, which appear early in AD. Method: Anomic deficits in persons with MCI and AD are assessed through tests on verbal memory, denomination by confrontation, and verbal fluency. In addition, an acoustic analysis of speech is conducted in a reading task to identify the acoustic parameters associated with the groups analyzed, and their relation to the degree of anomic impairment observed in each one of them. Results and Conclusions: The results show a direct relationship between the different acoustic parameters present in AD and the verbal fluency tests results.


2019 ◽  
Vol 68 (4) ◽  
pp. 208-214 ◽  
Author(s):  
Ivan Abdalla Teixeira ◽  
Felipe de Oliveira Silva ◽  
José Vinícius Alves Ferreira ◽  
Jéssica Plácido ◽  
Valeska Marinho ◽  
...  

ABSTRACT Objectives To evaluate the utility of handgrip strength cut-offs for the identification of weakness and Instrumental Activities of Daily Living (IADL) disability in elderly people with neurocognitive disorders. Methods Cross-sectional study of community-dwelling elderly individuals with Alzheimer’s disease (AD, n = 40) and mild cognitive impairment (MCI, n = 22); healthy individuals (n = 36) were recruited as controls. Handgrip cut-offs included European Working Group for Sarcopenic Older People (EWGSOP2), Cardiovascular Healthy Study (CHS) and the Frailty in Brazilian Older People Study from Rio de Janeiro (FIBRA RJ) cut-offs. Handgrip strength indexes were calculated by dividing handgrip strength values by cut-off values and the weakness prevalence for each cut-off value was compared among groups. Correlation analyses were employed to evaluate the relationship between Lawton Scale and handgrip strength (crude value and indexes). Results All handgrip strength indexes were lower in the AD group (p < 0.05), whereas the prevalence of weakness was significantly higher in the AD group only when the CHS cut-off was applied (AD = 47.5%, MCI and control = 18.2%, p < 0.01). Significantly positive correlations were identified between the Lawton ADL scale and handgrip indexes for all cut-offs (p < 0.05), but not between Lawton scale and crude handgrip (p = 0.75). Conclusions Only the CHS cut-off allowed proper differentiation of the weakness prevalence between groups. In addition, adjusting handgrip strength values according to cut-offs was necessary to determine the correlation between strength and disability in cognitively impaired elderly individuals.


2021 ◽  
Vol 12 ◽  
Author(s):  
Israel Martínez-Nicolás ◽  
Thide E. Llorente ◽  
Francisco Martínez-Sánchez ◽  
Juan José G. Meilán

Background: The field of voice and speech analysis has become increasingly popular over the last 10 years, and articles on its use in detecting neurodegenerative diseases have proliferated. Many studies have identified characteristic speech features that can be used to draw an accurate distinction between healthy aging among older people and those with mild cognitive impairment and Alzheimer's disease. Speech analysis has been singled out as a cost-effective and reliable method for detecting the presence of both conditions. In this research, a systematic review was conducted to determine these features and their diagnostic accuracy.Methods: Peer-reviewed literature was located across multiple databases, involving studies that apply new procedures of automatic speech analysis to collect behavioral evidence of linguistic impairments along with their diagnostic accuracy on Alzheimer's disease and mild cognitive impairment. The risk of bias was assessed by using JBI and QUADAS-2 checklists.Results: Thirty-five papers met the inclusion criteria; of these, 11 were descriptive studies that either identified voice features or explored their cognitive correlates, and the rest were diagnostic studies. Overall, the studies were of good quality and presented solid evidence of the usefulness of this technique. The distinctive acoustic and rhythmic features found are gathered. Most studies record a diagnostic accuracy over 88% for Alzheimer's and 80% for mild cognitive impairment.Conclusion: Automatic speech analysis is a promising tool for diagnosing mild cognitive impairment and Alzheimer's disease. The reported features seem to be indicators of the cognitive changes in older people. The specific features and the cognitive changes involved could be the subject of further research.


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