scholarly journals Multi-Sequence Average Templates for Aging and Neurodegenerative Disease Populations

2021 ◽  
Author(s):  
Mahsa Dadar ◽  
Richard Camicioli ◽  
Simon Duchesne
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Lewy Body Dementia ◽  
Healthy Young Adult ◽  
Parkinsons Disease ◽  
Common Space ◽  
Registration Errors ◽  
Standard Template ◽  
Males And Females ◽  
Cognitively Intact

Magnetic resonance image (MRI) processing pipelines use average templates to enable standardization of individual MRIs in a common space. MNI-ICBM152 is currently used as the standard template by most MRI processing tools. However, MNI-ICBM152 represents an average of 152 healthy young adult brains and is vastly different from brains of patients with neurodegenerative diseases. In those populations, extensive atrophy might cause inevitable registration errors when using an average template of young healthy individuals for standardization. Disease-specific templates that represent the anatomical characteristics of the populations can reduce such errors and improve downstream driven estimates. We present multi-sequence average templates for Alzheimers Dementia (AD), Fronto-temporal Dementia (FTD), Lewy Body Dementia (LBD), Mild Cognitive Impairment (MCI), cognitively intact and impaired Parkinsons Disease patients (PD-CIE and PD-CI, respectively), individuals with Subjective Cognitive Impairment (SCI), AD with vascular contribution (V-AD), Vascular Mild Cognitive Impairment (V-MCI), Cognitively Intact Elderly (CIE) individuals, and a human phantom. We also provide separate templates for males and females to allow better representation of the diseases in each sex group.

Characterization of dementia with Lewy bodies (DLB) and mild cognitive impairment using the Lewy body dementia module (LBD‐MOD)

2021 ◽  
Author(s):  
James E. Galvin ◽  
Stephanie Chrisphonte ◽  
Iris Cohen ◽  
Keri K. Greenfield ◽  
Michael J. Kleiman ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Lewy Body ◽  
Dementia With Lewy Bodies ◽  
Lewy Bodies ◽  
Lewy Body Dementia

scholarly journals Developing a Persian Verbal Fluency Test and Comparing the Results Between Healthy Persian Speakers and Persian Speakers Patients With Alzheimer Disease and Mild Cognitive Impairment

2021 ◽  
Vol 19 (4) ◽  
pp. 387-398
Author(s):  
Ahmad Reza Khatoonabadi ◽  
◽  
Mahshid Aghajanzadeh ◽  
Saman Maroufizadeh ◽  
Zahra Vahabi ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Verbal Fluency ◽  
Normal Group ◽  
Semantic Fluency ◽  
Verbal Fluency Test ◽  
Semantic Categories ◽  
Cognitively Intact ◽  
Fluency Test

Objectives: Phonemic and semantic fluency tasks are used for verbal fluency (VF) evaluation. The present study aimed to select the most appropriate semantic categories and the most frequent phonemes of Persian as items for the VF test. Then, we determine the test results in differentiation between cognitively intact people and those with Mild Cognitive Impairment (MCI) and Alzheimer Disease (AD). Methods: A cross-sectional study was conducted on 120 people (60 cognitively intact, 30 with AD, and 30 with MCI) in two phases. In phase one, linguists determine the most frequent phonemes at the beginning of Persian words and the most frequent semantic categories based on a survey. In phase two, the verbal fluency test was administered to cognitively intact people and those with cognitive impairment (patients with AD and MCI). One-way ANOVA and multiple linear regression were used for statistical analysis. Results: The normal subjects scored significantly higher in all phonemic and semantic fluency tasks than the patients with AD and people with MCI (P<0.05). Regarding the phonemic VF task, the phonemes /sh/, /s/, and then /a/ were better in differentiating the MCI and AD groups from the normal group. Regarding the semantic VF task, the animals’ category was better differentiated the MCI and AD groups from the normal group. Discussion: Comparing frequent phonemes and semantic categories of Persian across three groups of normal, AD, and MCI showed that some phonemes and semantic categories can be more differentiating in the VF task. However, it is a preliminary validation study, and this topic needs more investigation in the future.

scholarly journals Predicting Early Mild Cognitive Impairment With Free Recall: The Primacy of Primacy

2019 ◽  
Vol 35 (2) ◽  
pp. 133-142 ◽  
Author(s):  
Deborah Talamonti ◽  
Rebecca Koscik ◽  
Sterling Johnson ◽  
Davide Bruno
Keyword(s):  
Logistic Regression ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Serial Position ◽  
Verbal Learning ◽  
Binary Logistic Regression ◽  
Roc Curves ◽  
Consensus Conference ◽  
Position Effects ◽  
Cognitively Intact

Abstract Objectives Serial position effects have been found to discriminate between normal and pathological aging, and to predict conversion from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD). Different scoring methods have been used to estimate the accuracy of these predictions. In the current study, we investigated delayed primacy as predictor of progression to early MCI over established diagnostic memory methods. We also compared three serial position methods (regional, standard and delayed scores) to determine which measure is the most sensitive in differentiating between individuals who develop early MCI from a baseline of cognitively intact older adults. Method Data were analyzed with binary logistic regression and with receiver-operating characteristic (ROC). Baseline serial position scores were collected using the Rey’s Auditory Verbal Learning Test and used to predict conversion to early MCI. The diagnosis of early MCI was obtained through statistical algorithm and consequent consensus conference. One hundred and ninety-one participants were included in the analyses. All participants were aged 60 or above and cognitively intact at baseline. Results The binary logistic regression showed that delayed primacy was the only predictor of conversion to early MCI, when compared to total and delayed recall. ROC curves showed that delayed primacy was still the most sensitive predictor of progression to early MCI when compared to other serial position measures. Conclusions These findings are consistent with previous studies and support the hypothesis that delayed primacy may be a useful cognitive marker of early detection of neurodegeneration.

Estimation of the risk of conversion of mild cognitive impairment of Alzheimer type to Alzheimer's disease in a south Brazilian population-based elderly cohort: the PALA study

2011 ◽  
Vol 24 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Cláudia Godinho ◽  
Ana Luiza Camozzato ◽  
Diego Onyszko ◽  
Márcia Lorena Chaves
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Population Based ◽  
Alzheimer Type ◽  
Risk Of Progression ◽  
Elderly Cohort ◽  
The Impact ◽  
Cognitively Intact

ABSTRACTBackground: Higher mild cognitive impairment (MCI) prognostic variability has been related to sample characteristics (community-based or specialized clinic) and to diverse operationalization criteria. The aim of the study was to evaluate the trajectory of MCI of Alzheimer type in a population-based elderly cohort in Southern Brazil. We also estimated the risk for the development of probable Alzheimer's disease (AD) in comparison with healthy subjects.Methods: Data were derived from a population-based cohort (the PALA study). MCI outcomes were sub-classified into three categories: conversion, stabilization, and reconversion. The risk of progression to dementia was compared between MCI and normal participants. The analysis was based on 21 MCI subjects and 220 cognitively intact participants (N = 241).Results: Of the 21 MCI subjects, 38% developed dementia, 24% remained stable and 38% improved. The MCI annual conversion rate to AD was 8.5%. MCI was associated with significantly higher risk of conversion to AD (HR = 49.83, p = 0.004), after adjustment for age, education, sex and Mini-Mental State Examination score.Conclusions: Independent of the heterogeneity of the outcomes, MCI of the Alzheimer type participants showed significantly higher risk of developing probable AD, demonstrating the impact of the use of these MCI criteria that emphasize long-term episodic memory impairment.

scholarly journals The Impact of Mild Cognitive Impairment on Gait and Balance: A Systematic Review and Meta-Analysis of Studies Using Instrumented Assessment

Gerontology ◽  
2016 ◽  
Vol 63 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Lindsay Bahureksa ◽  
Bijan Najafi ◽  
Ahlam Saleh ◽  
Marwan Sabbagh ◽  
David Coon ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Dual Task ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Inclusion Criteria ◽  
Motor Assessment ◽  
Gait Parameters ◽  
Task Conditions ◽  
Cognitively Intact

Background: In addition to cognitive deficits, people with mild cognitive impairment (MCI) can experience motor dysfunction, including deficits in gait and balance. Objective, instrumented motor performance assessment may allow the detection of subtle MCI-related motor deficits, allowing early diagnosis and intervention. Motor assessment under dual-task conditions may increase diagnostic accuracy; however, the sensitivity of different cognitive tasks is unclear. Objective: To systematically review the extant literature focusing on instrumented assessment of gait and balance parameters for discriminating MCI patients from cognitively intact peers. Methods: Database searches were conducted in PubMed, EMBASE, Cochrane Library, PsycINFO and Web of Science. Inclusion criteria were: (1) clinically confirmed MCI; (2) instrumented measurement of gait and/or balance; (3) English language, and (4) reporting gait or balance parameters which could be included in a meta-analysis for discriminating between MCI patients and cognitively intact individuals based on weighted effect size (d). Results: Fourteen studies met the inclusion criteria and reported quantitative gait (n = 11) or postural balance (n = 4) parameters to be included in the meta-analysis. The meta-analysis revealed that several gait parameters including velocity (d = -0.74, p < 0.01), stride length (d = -0.65, p < 0.01), and stride time (mean: d = 0.56, p = 0.02; coefficient of variation: d = 0.50, p < 0.01) discriminated best between MCI and healthy controls under single-task conditions. Importantly, dual-task assessment increased the discriminative power of gait variables wherein gait variables with counting tasks appeared to be more sensitive (range d = 0.84-1.35) compared to verbal fluency tasks such as animal naming (range d = 0.65-0.94). Balance parameters identified as significant discriminators were anterior-posterior (d = 0.49, p < 0.01) and mediolateral (d = -0.34, p = 0.04) sway position in the eyes-open condition but not eyes-closed condition. Conclusion: Existing studies provide evidence that MCI affects specific gait parameters. MCI-related gait changes were most pronounced when subjects are challenged cognitively (i.e., dual task), suggesting that gait assessment with an additional cognitive task is useful for diagnosis and outcome analysis in the target population. Static balance seems to also be affected by MCI, although limited evidence exists. Instrumented motor assessment could provide a critical opportunity for MCI diagnosis and tailored intervention targeting specific deficits and potentially slowing progression to dementia. Further studies are required to confirm our findings.

Impaired Recognition of Facial and Vocal Emotions in Mild Cognitive Impairment

2021 ◽  
pp. 1-14
Author(s):  
Helena S. Moreira ◽  
Ana Sofia Costa ◽  
Álvaro Machado ◽  
São Luís Castro ◽  
Selene G. Vicente ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Emotion Recognition ◽  
Facial Expressions ◽  
Daily Living ◽  
Emotional Processing ◽  
Neuropsychological Testing ◽  
Nonverbal Vocalizations ◽  
Sensory Modalities ◽  
Cognitively Intact

Abstract Objective: The ability to recognize others’ emotions is a central aspect of socioemotional functioning. Emotion recognition impairments are well documented in Alzheimer’s disease and other dementias, but it is less understood whether they are also present in mild cognitive impairment (MCI). Results on facial emotion recognition are mixed, and crucially, it remains unclear whether the potential impairments are specific to faces or extend across sensory modalities, Method: In the current study, 32 MCI patients and 33 cognitively intact controls completed a comprehensive neuropsychological assessment and two forced-choice emotion recognition tasks, including visual and auditory stimuli. The emotion recognition tasks required participants to categorize emotions in facial expressions and in nonverbal vocalizations (e.g., laughter, crying) expressing neutrality, anger, disgust, fear, happiness, pleasure, surprise, or sadness. Results: MCI patients performed worse than controls for both facial expressions and vocalizations. The effect was large, similar across tasks and individual emotions, and it was not explained by sensory losses or affective symptomatology. Emotion recognition impairments were more pronounced among patients with lower global cognitive performance, but they did not correlate with the ability to perform activities of daily living. Conclusions: These findings indicate that MCI is associated with emotion recognition difficulties and that such difficulties extend beyond vision, plausibly reflecting a failure at supramodal levels of emotional processing. This highlights the importance of considering emotion recognition abilities as part of standard neuropsychological testing in MCI, and as a target of interventions aimed at improving social cognition in these patients.

scholarly journals MNI-FTD templates, unbiased average templates of frontotemporal dementia variants

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mahsa Dadar ◽  
Ana L. Manera ◽  
Vladimir S. Fonov ◽  
Simon Ducharme ◽  
D. Louis Collins
Keyword(s):  
Frontotemporal Dementia ◽  
Group Level ◽  
Healthy Young Adult ◽  
Nonfluent Aphasia ◽  
Registration Errors ◽  
Standard Template ◽  
Semantic Variant ◽  
Human Neuroimaging ◽  
Disease Specific ◽  
Progressive Nonfluent Aphasia

AbstractStandard templates are widely used in human neuroimaging processing pipelines to facilitate group-level analyses and comparisons across subjects/populations. MNI-ICBM152 template is the most commonly used standard template, representing an average of 152 healthy young adult brains. However, in patients with neurodegenerative diseases such as frontotemporal dementia (FTD), high atrophy levels lead to significant differences between individuals’ brain shapes and MNI-ICBM152 template. Such differences might inevitably lead to registration errors or subtle biases in downstream analyses and results. Disease-specific templates are therefore desirable to reflect the anatomical characteristics of the populations of interest and reduce potential registration errors. Here, we present MNI-FTD136, MNI-bvFTD70, MNI-svFTD36, and MNI-pnfaFTD30, four unbiased average templates of 136 FTD patients, 70 behavioural variant (bv), 36 semantic variant (sv), and 30 progressive nonfluent aphasia (pnfa) variant FTD patients and a corresponding age-matched template of 133 controls (MNI-CN133), along with probabilistic tissue maps for each template. Public availability of these templates will facilitate analyses of FTD cohorts and enable comparisons between different studies in an appropriate common standardized space.

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