Publications by authors named "Maria Dekhtyar"

Article Synopsis
  • Recent findings show that in midlife, women exhibit stronger links between metabolic syndrome components and brain health compared to men, likely due to declining estrogen levels.
  • The study used network models to analyze data from 82 women aged 40-62, comparing the effects of endogenous estrogen and age on brain and metabolic health indicators.
  • Results indicated that higher estradiol levels had a more significant negative influence on the network than chronological age, suggesting that estrogen may reduce risks associated with cognitive decline and metabolic health issues in midlife.
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The Controlled Oral Word Association Test (COWAT) is a widely utilized measure of phonemic fluency. However, two issues remain: (1) whether demographic, cognitive variables, or version of test administered predict performance; (2) if the test is predictive of Mild Cognitive Impairment (MCI). Recent studies report that item-level analyses such as lexical frequency may be more sensitive to early cognitive change.

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Hypothesis-driven studies have demonstrated that sex moderates many of the relationships between brain health and cardiometabolic disease, which impacts risk for later-life cognitive decline. In the present study, we sought to further our understanding of the associations between multiple markers of brain integrity and cardiovascular risk in a midlife sample of 266 individuals by using network analysis, a technique specifically designed to examine complex associations among multiple systems at once. Separate network models were constructed for male and female participants to investigate sex differences in the biomarkers of interest, selected based on evidence linking them with risk for late-life cognitive decline: all components of metabolic syndrome (obesity, hypertension, dyslipidemia, and hyperglycemia); neuroimaging-derived brain-predicted age minus chronological age; ratio of white matter hyperintensities to whole brain volume; seed-based resting state functional connectivity in the Default Mode Network, and ratios of N-acetyl aspartate, glutamate and myo-inositol to creatine, measured through proton magnetic resonance spectroscopy.

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Predicting language therapy outcomes in bilinguals with aphasia (BWA) remains challenging due to the multiple pre- and poststroke factors that determine the deficits and recovery of their two languages. Computational models that simulate language impairment and treatment outcomes in BWA can help predict therapy response and identify the optimal language for treatment. Here we used the BiLex computational model to simulate the behavioral profile of language deficits and treatment response of a retrospective sample of 13 Spanish-English BWA who received therapy in one of their languages.

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Introduction: Bilinguals with aphasia (BWA) present varying degrees of lexical access impairment and recovery across their two languages. Because both languages may benefit from therapy, identifying the optimal target language for treatment is a current challenge for research and clinical practice. Prior research has demonstrated that the BiLex computational model can accurately simulate lexical access in healthy bilinguals, and language impairment and treatment response in bilingual aphasia.

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Middle aged individuals with Metabolic Syndrome are at high risk for cognitive decline. Dyssynchrony in the resting state Default Mode Network is one early indicator of brain vulnerability. We set out to explore the relationship between default mode resting state functional connectivity and cognitive performance in both memory and executive domains at midlife in the presence of Metabolic Syndrome components.

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Purpose Of Review: Obesity is one of the most serious public health concerns. Excess adipose tissue, particularly with a centralized distribution, is associated with cognitive decline. Indeed, obesity has been associated with a number of adverse changes in brain function and structure that can be detected by neuroimaging techniques.

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Purpose There is a rapid growth of telepractice in both clinical and research settings; however, the literature validating translation of traditional methods of assessments and interventions to valid remote videoconference administrations is limited. This is especially true in the field of speech-language pathology where assessments of language and communication can be easily conducted via remote administration. The aim of this study was to validate videoconference administration of the Western Aphasia Battery-Revised (WAB-R).

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The bilingual advantage proposes that bilingual individuals have enhanced cognitive control compared to their monolingual counterparts. Bilingualism has also been shown to contribute to cognitive reserve by offsetting the behavioral presentation of brain injury or neural degeneration. However, this effect has not been closely examined in individuals with post-stroke or post-TBI aphasia.

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Lexical access in bilinguals can be modulated by multiple factors in their individual language learning history. We developed the BiLex computational model to examine the effects of L2 age of acquisition, language use and exposure on lexical retrieval in bilingual speakers. Twenty-eight Spanish-English bilinguals and five monolinguals recruited to test and validate the model were evaluated in their picture naming skills in each language and filled out a language use questionnaire.

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Background: Impairment in instrumental activities of daily living (IADL) may occur in the earliest stages of mild cognitive impairment (MCI). However, there are few reliable measures of IADL in MCI or that have a sufficient range of scores in clinically normal (CN) elderly. The objective of this pilot study was to examine the convergent validity of a phone performance-based IADL instrument, the Harvard Automated Phone Task (APT), designed to measure the earliest IADL changes in Alzheimer's disease (AD), with other sensitive performance-based and subjective measures of everyday functional capacity among CN and MCI participants.

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Background: Impairment in activities of daily living is a major burden to both patients and caregivers. Mild impairment in instrumental activities of daily living is often seen at the stage of mild cognitive impairment. The field of Alzheimer's disease is moving toward earlier diagnosis and intervention and more sensitive and ecologically valid assessments of instrumental or complex activities of daily living are needed.

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Background: Age-related memory decline has been well-documented; however, some individuals reach their 8th-10th decade while maintaining strong memory performance.

Objective: To determine which demographic and biomarker factors differentiated top memory performers (aged 75+, top 20% for memory) from their peers and whether top memory performance was maintained over 3 years.

Methods: Clinically normal adults (n=125, CDR=0; age: 79.

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Background: Technological advances now make it feasible to administer cognitive assessments at-home on mobile and touch-screen devices such as an iPad or tablet computer. Validation of these techniques is necessary to assess their utility in clinical trials.

Objectives: We used a Computerized Cognitive Composite for Preclinical Alzheimer's Disease (C3-PAD) developed for iPad 1) to determine the feasibility of performing the C3-PAD at home by older individuals without the presence of a trained psychometrician; 2) to explore the reliability of in-clinic compared to at-home C3-PAD performance and 3) to examine the comparability of C3-PAD performance to standardized neuropsychological tests.

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Background: Impairment in activities of daily living is a major burden for Alzheimer's disease dementia patients and caregivers. Multiple subjective scales and a few performance-based instruments have been validated and proven to be reliable in measuring instrumental activities of daily living in Alzheimer's disease dementia but less so in amnestic mild cognitive impairment and preclinical Alzheimer's disease.

Objective: To validate the Harvard Automated Phone Task, a new performance-based activities of daily living test for early Alzheimer's disease, which assesses high level tasks that challenge seniors in daily life.

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Objective: We aimed to determine whether there was a relationship between lifestyle factors and Alzheimer disease biomarkers.

Methods: In a cross-sectional study, we evaluated self-reported histories of recent and past cognitive activity, self-reported history of recent physical activity, and objective recent walking activity in 186 clinically normal individuals with mean age of 74 ± 6 years. Using backward elimination general linear models, we tested the hypotheses that greater cognitive or physical activity would be associated with lower Pittsburgh compound B-PET retention, greater (18)F-fluorodeoxyglucose-PET metabolism, and larger hippocampal volume, as well as better cognitive performance on neuropsychological testing.

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Neuropsychologists are developing more challenging and specific tests to detect early and subtle changes in cognition related to preclinical Alzheimer's disease (AD). The 16-item Face-Name Associative Memory Exam (FNAME-16) is a challenging paired associative memory test able to detect subtle memory changes associated with biomarker evidence of preclinical AD. However, as individuals progress along the AD trajectory, measures that are sensitive at the preclinical stage may become too challenging by the stage of Mild Cognitive Impairment (MCI).

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