Trevurr: A dialogic composition on dementia, auraldiversity and companion listening

2021 ◽  
Vol 26 (2) ◽  
pp. 230-239
Author(s):  
Chris J. H. Cook
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Creative Process ◽  
Lived Experiences ◽  
Sound Art ◽  
Acoustic Ecology ◽  
Common Part ◽  
Mutual Learning ◽  
Ethnographic Fieldwork ◽  
Early Stages

This article details the rationale and creative process behind a collaborative – or more accurately in this case, dialogic – sound composition undertaken as part of research into the acoustic ecologies of people in the early stages of a dementia. Changes in abilities around hearing and listening are among the first symptoms of many types of dementia, making such auditory phenotypes an increasingly common part of lived experiences of sound. Following acoustic ecology practice in doing and presenting research in sound, and more specifically Steven Feld in doing so in dialogic or polyvocal ways, co-composition can be a way of exploring the particularities of others’ hearing, listening and sound practices, which is less reliant on the discursive frames of interlocutors and researchers. The process of making sound art together draws attention to particular sounds and experiences, creating dialogic situations of companion listening, discussion and mutual learning. It also provides a framework for engaging interlocutors in soundscape and ethnographic fieldwork methods. The composition discussed here, Trevurr, documents my time working with Trevor, a keen amateur musician in Cornwall who has mild cognitive impairment, and gradually comes to simulate his experience of hyperacusis in a piece of dialogic, auraldiversity-oriented composition.

Addenbrooke's cognitive examination III: diagnostic utility for mild cognitive impairment and dementia and correlation with standardized neuropsychological tests

2016 ◽  
Vol 29 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Jordi A. Matias-Guiu ◽  
Ana Cortés-Martínez ◽  
Maria Valles-Salgado ◽  
Teresa Rognoni ◽  
Marta Fernández-Matarrubia ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Tests ◽  
Pearson Correlation ◽  
Amnestic Mild Cognitive Impairment ◽  
Visuospatial Function ◽  
Early Stages ◽  
Addenbrooke’S Cognitive Examination

ABSTRACTBackground:Addenbrooke's Cognitive Examination III (ACE-III) is a screening test that was recently validated for diagnosing dementia. Since it assesses attention, language, memory, fluency, and visuospatial function separately, it may also be useful for general neuropsychological assessments. The aim of this study was to analyze the tool's ability to detect early stages of Alzheimer's disease and to examine the correlation between ACE-III scores and scores on standardized neuropsychological tests.Methods:Our study included 200 participants categorized as follows: 25 healthy controls, 48 individuals with subjective memory complaints, 47 patients with amnestic mild cognitive impairment and 47 mild Alzheimer's disease, and 33 patients with other neurodegenerative diseases.Results:The ACE-III memory and language domains were highly correlated with the neuropsychological tests specific to those domains (Pearson correlation coefficient of 0.806 for total delayed recall on the Free and Cued Selective Reminding Test vs. 0.744 on the Boston Naming Test). ACE-III scores discriminated between controls and patients with amnestic mild cognitive impairment (AUC: 0.906), and between controls and patients with mild Alzheimer's disease (AUC: 0.978).Conclusion:Our results suggest that ACE-III is a useful neuropsychological test for assessing the cognitive domains of attention, language, memory, and visuospatial function. It also enables detection of Alzheimer's disease in early stages.

scholarly journals Thickness in Entorhinal and Subicular Cortex Predicts Episodic Memory Decline in Mild Cognitive Impairment

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
A. C. Burggren ◽  
B. Renner ◽  
M. Jones ◽  
M. Donix ◽  
N. A. Suthana ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Medial Temporal Lobe ◽  
Recall Performance ◽  
Memory Performance ◽  
Brain Regions ◽  
Initial Assessment ◽  
Memory Decline ◽  
Early Stages ◽  
Relationship Of

Identifying subjects with mild cognitive impairment (MCI) most likely to decline in cognition over time is a major focus in Alzheimer's disease (AD) research. Neuroimaging biomarkers that predict decline would have great potential for increasing the efficacy of early intervention. In this study, we used high-resolution MRI, combined with a cortical unfolding technique to increase visibility of the convoluted medial temporal lobe (MTL), to assess whether gray matter thickness in subjects with MCI correlated to decline in cognition over two years. We found that thickness in the entorhinal (ERC) and subicular (Sub) cortices of MCI subjects at initial assessment correlated to change in memory encoding over two years (ERC:r=0.34;P=.003) and Sub (r=0.26;P=.011) but not delayed recall performance. Our findings suggest that aspects of memory performance may be differentially affected in the early stages of AD. Given the MTL's involvement in early stages of neurodegeneration in AD, clarifying the relationship of these brain regions and the link to resultant cognitive decline is critical in understanding disease progression.

scholarly journals Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis

2022 ◽  
Vol 13 ◽  
Author(s):  
Natalia Ogonowski ◽  
Stefanny Salcidua ◽  
Tomas Leon ◽  
Nayaret Chamorro-Veloso ◽  
Cristian Valls ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Target Genes ◽  
Early Stage ◽  
Expression Profiles ◽  
Diagnostic Methods ◽  
Assessment Tools ◽  
Early Stages ◽  
Promising Source

The rate of progression from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) is estimated at >10% per year, reaching up to 80–90% after 6 years. MCI is considered an indicator of early-stage AD. In this context, the diagnostic screening of MCI is crucial for detecting individuals at high risk of AD before they progress and manifest further severe symptoms. Typically, MCI has been determined using neuropsychological assessment tools such as the Montreal Cognitive Assessment (MoCA) or Mini-Mental Status Examination (MMSE). Unfortunately, other diagnostic methods are not available or are unable to identify MCI in its early stages. Therefore, identifying new biomarkers for MCI diagnosis and prognosis is a significant challenge. In this framework, miRNAs in serum, plasma, and other body fluids have emerged as a promising source of biomarkers for MCI and AD-related cognitive impairments. Interestingly, miRNAs can regulate several signaling pathways via multiple and diverse targets in response to pathophysiological stimuli. This systematic review aims to describe the current state of the art regarding AD-related target genes modulated by differentially expressed miRNAs in peripheral fluids samples in MCI subjects to identify potential miRNA biomarkers in the early stages of AD. We found 30 articles that described five miRNA expression profiles from peripheral fluid in MCI subjects, showing possible candidates for miRNA biomarkers that may be followed up as fluid biomarkers or therapeutic targets of early-stage AD. However, additional research is needed to validate these miRNAs and characterize the precise neuropathological mechanisms.

scholarly journals Drift Diffusion Model of Animacy Categorization Task Can Detect Patients with Mild Cognitive Impairment and Mild Alzheimer's Disease

2021 ◽  
Author(s):  
Hamed Karimi ◽  
Haniye Marefat ◽  
Mahdiye Khanbagi ◽  
Alireza Karami ◽  
Zahra Vahabi
Keyword(s):  
Alzheimer’S Disease ◽  
Decision Making ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Diffusion Model ◽  
Computational Approach ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Categorization Task ◽  
Early Stages

Purpose: The process of neurodegeneration in Alzheimer's Disease (AD) is irreversible using current therapeutics. An earlier diagnosis of the disease can lead to earlier interventions, which will help patients sustain their cognitive abilities for longer. Individuals within the early stages of AD, shown to have trouble making confident and sounds decisions. Here we proposed a computational approach to quantify the decision-making ability in patients with mild cognitive impairment and mild AD. Materials and Methods: To study the quantified decision-making abilities at the early stages of the disease, we took advantage of a 2-Alternative Forced-Choice (2AFC) task. We applied the Drift Diffusion Model to determine whether the information accumulation process in a categorization task is altered in patients with mild cognitive impairment and mild AD. We implemented a classification model to detect cognitive impairment based on the Drift Diffusion Model's estimated parameters. Results: The results show a significant correlation of the classification score with the standard pen-and-paper tests, suggesting that the quantified decision-making parameters are undergoing significant change in patients with cognitive impairment. Conclusion: We confirmed that the decision-making ability deteriorates at the early stages of AD. We introduced a computational approach for measuring the decline in decision-making and used that measurement to distinguish patients from healthy individuals.

Cognitive and anatomical correlates of anosognosia in amnestic mild cognitive impairment and early-stage Alzheimer's disease

2016 ◽  
Vol 29 (2) ◽  
pp. 293-302 ◽  
Author(s):  
Gulben Senturk ◽  
Basar Bilgic ◽  
Ali Bilgin Arslan ◽  
Ali Bayram ◽  
Hasmet Hanagasi ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cortical Thickness ◽  
Structural Changes ◽  
Early Stage ◽  
Digit Span ◽  
Early Stages ◽  
Amci Group

ABSTRACTBackground:Anosognosia is a common feature in Alzheimer's disease (AD). The brain substrates of anosognosia are not fully understood, and less is known about the cognitive substrates of anosognosia in prodromal and early stages of AD.Methods:Fourty-seven patients with amnestic-type mild cognitive impairment (aMCI) (n = 26) and early-stage AD (n = 21) were included, and Clinical Insight Rating Scale and Anosognosia Questionnaire for Dementia (AQ-D) were used to assess anosognosia. A detailed neuropsychological battery was administered; each patient underwent a structural magnetic resonance imaging (MRI). Correlation between anosognosia and performance in individual cognitive domains as well as correlation between anosognosia and cortical thickness values in regions of interest were assessed.Results:Performance of the anosognosic patients in Digit Ordering Test (DOT), Digit Span Backwards, and Clock Drawing Test (CDT) was significantly worse compared to non-anosognosic patients in the total study population and in the aMCI subgroup but not in AD group. AQ-D scores negatively correlated with Mini-Mental State Examination (MMSE), California Verbal Learning Test (CVLT), Digit Span Backwards and CDT scores in total group and MMSE, CVLT, DOT, and Digit Span Backwards scores in the aMCI group. No significant correlations were found between cortical thickness measurements and AQ-D scores in any of the patient populations.Conclusions:Anosognosia was associated with episodic memory, working memory, and executive functions in the total population and aMCI group, but no association was found in early-stage AD patients. Anosognosia in the early stages of AD may be related with non-structural changes such as hypoconnectivity rather than structural changes.

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