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Maureen Schmitter-Edgecombe

Jenna Beaver, Kaci B Wilson, Maureen Schmitter-Edgecombe
OBJECTIVE: Functional ability declines with age and cognitive impairment. This study investigated errors of omission made by community-dwelling older adults completing everyday tasks in a naturalistic setting. METHOD: Sixty-five cognitively healthy older adults (HOA), 19 individuals with single domain mild cognitive impairment (sdMCI), 33 individuals with multi-domain MCI (mdMCI), and 13 individuals with dementia completed measures of memory, processing speed, working memory, and executive functioning, as well as eight different activities of daily living in a naturalistic environment...
June 14, 2017: Neuropsychological Rehabilitation
Robert P Fellows, Maureen Schmitter-Edgecombe
Objective: The primary aim of this study was to identify the independent and differential associations of obesity and hypertension with cognitive, physical, and directly observed functional abilities among middle age and older adults. Method: Participants were 119 adults between the ages of 51 and 89, who underwent a cross-sectional assessment of cognitive, physical, functional and relevant health-related variables. Results: Obesity predicted significantly poorer executive functions (β = -...
May 19, 2017: Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists
Kayela Robertson, Maureen Schmitter-Edgecombe
PRIMARY OBJECTIVE: Impairments in attention following traumatic brain injury (TBI) can significantly impact recovery and rehabilitation effectiveness. This study investigated the multi-faceted construct of selective attention following TBI, highlighting the differences on visual nonsearch (focused attention) and search (divided attention) tasks. METHODS AND PROCEDURES: Participants were 30 individuals with moderate to severe TBI who were tested acutely (i.e. following emergence from PTA) and 30 age- and education-matched controls...
May 8, 2017: Brain Injury: [BI]
Joyce W Tam, Catherine Van Son, Dennis Dyck, Maureen Schmitter-Edgecombe
OBJECTIVE: Aging services technologies (ASTs), health technology that meets the needs of seniors, are being underutilized due to a lack of awareness. This study evaluated a video-based educational program to increase AST awareness. METHODS: Two hundred and thirty-one older adults completed AST measures pre- and post-program. RESULTS: Participants endorsed significantly improved AST knowledge and attitude and a lower level of perceived stigma post-program...
March 15, 2017: Patient Education and Counseling
Jenna Beaver, Maureen Schmitter-Edgecombe
Objective: Current proxy measures for assessing everyday functioning (e.g., questionnaires, performance-based measures, and direct observation) show discrepancies in their rating of functional status. The present study investigated the relationship between multiple proxy measures of functional status and content memory (i.e., memory for information), temporal order memory, and prospective memory in an older adult sample. Method: A total of 197 community-dwelling older adults who did (n = 45) or did not meet (n = 152) criteria for mild cognitive impairment (MCI), completed six different assessments of functional status (two questionnaires, two performance-based tasks, and two direct observation tasks) as well as experimental measures of content memory, prospective memory, and temporal order memory...
June 1, 2017: Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists
Alyssa Weakley, Joyce W Tam, Catherine Van Son, Maureen Schmitter-Edgecombe
Health care professionals (HCPs) are a critical source of recommendations for older adults. Aging services technologies (ASTs), which include devices to support the health-care needs of older adults, are underutilized despite evidence for improving functional outcomes and safety and reducing caregiver burden and health costs. This study evaluated a video-based educational program aimed at improving HCP awareness of ASTs. Sixty-five HCPs viewed AST videos related to medication management, daily living, and memory...
January 19, 2017: Gerontology & Geriatrics Education
Jessamyn Dahmen, Diane Cook, Robert Fellows, Maureen Schmitter-Edgecombe
BACKGROUND: The goal of this work is to develop a digital version of a standard cognitive assessment, the Trail Making Test (TMT), and assess its utility. OBJECTIVE: This paper introduces a novel digital version of the TMT and introduces a machine learning based approach to assess its capabilities. METHODS: Using digital Trail Making Test (dTMT) data collected from (N = 54) older adult participants as feature sets, we use machine learning techniques to analyze the utility of the dTMT and evaluate the insights provided by the digital features...
2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Rajal G Cohen, Anita N Vasavada, Michelle M Wiest, Maureen Schmitter-Edgecombe
Objectives: Aging is associated with cognitive decline, including visuomotor and memory concerns, and with motor system changes, including gait slowing and stooped posture. We investigated the associations of visuomotor performance and episodic memory with motor system characteristics in healthy older adults. Methods: Neurologically healthy older adults (N = 160, aged 50-89) completed a battery of cognitive and motor tasks. Cognitive variables were grouped by principal components analysis (PCA) into two components: visuomotor performance and verbal episodic memory...
2016: Frontiers in Aging Neuroscience
Barnan Das, Diane J Cook, Narayanan C Krishnan, Maureen Schmitter-Edgecombe
Caring for individuals with dementia is frequently associated with extreme physical and emotional stress, which often leads to depression. Smart home technology and advances in machine learning techniques can provide innovative solutions to reduce caregiver burden. One key service that caregivers provide is prompting individuals with memory limitations to initiate and complete daily activities. We hypothesize that sensor technologies combined with machine learning techniques can automate the process of providing reminder-based interventions...
August 2016: IEEE Journal of Selected Topics in Signal Processing
Robert P Fellows, Jessamyn Dahmen, Diane Cook, Maureen Schmitter-Edgecombe
OBJECTIVE: The purpose of the current study was to use a newly developed digital tablet-based variant of the TMT to isolate component cognitive processes underlying TMT performance. METHOD: Similar to the paper-based trail making test, this digital variant consists of two conditions, Part A and Part B. However, this digital version automatically collects additional data to create component subtest scores to isolate cognitive abilities. Specifically, in addition to the total time to completion and number of errors, the digital Trail Making Test (dTMT) records several unique components including the number of pauses, pause duration, lifts, lift duration, time inside each circle, and time between circles...
January 2017: Clinical Neuropsychologist
Courtney McAlister, Maureen Schmitter-Edgecombe
OBJECTIVE: This study examined content and temporal order memory for subject-performed activities in an incidental learning condition in cognitively healthy individuals with Parkinson's disease (PD) (N = 20) and controls (N = 20). METHOD: Participant's free recall of activities provided a measure of content memory. Temporal order memory was assessed with a reconstruction task of activities. Self- and informant-reports of everyday memory were used to examine the relationship between everyday memory, and content and temporal order memory...
July 29, 2016: Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists
Gina Sprint, Diane J Cook, Maureen Schmitter-Edgecombe
Sensor-based time series data can be utilized to monitor changes in human behavior as a person makes a significant lifestyle change, such as progress toward a fitness goal. Recently, wearable sensors have increased in popularity as people aspire to be more conscientious of their physical health. Automatically detecting and tracking behavior changes from wearable sensor-collected physical activity data can provide a valuable monitoring and motivating tool. In this paper, we formalize the problem of unsupervised physical activity change detection and address the problem with our Physical Activity Change Detection (PACD) approach...
October 2016: Journal of Biomedical Informatics
Kayela Robertson, Maureen Schmitter-Edgecombe
OBJECTIVE: Understanding functional abilities for those with neurologic disorders is a growing area of investigation. In this paper, performance-based naturalistic tasks used to assess cognitive and functional deficits were reviewed to determine current evidence for effectiveness as valid and reliable assessment measures and to make recommendations for future research. METHOD: Performance-based naturalistic tasks were defined as observable, rule-based, open-ended tasks completed in an environment that either mimics the real world or is the real world...
January 2017: Clinical Neuropsychologist
Prafulla N Dawadi, Diane J Cook, Maureen Schmitter-Edgecombe
Pervasive computing offers an unprecedented opportunity to unobtrusively monitor behavior and use the large amount of collected data to perform analysis of activity-based behavioral patterns. In this paper, we introduce the notion of an activity curve, which represents an abstraction of an individual's normal daily routine based on automatically-recognized activities. We propose methods to detect changes in behavioral routines by comparing activity curves and use these changes to analyze the possibility of changes in cognitive or physical health...
June 2016: Pervasive and Mobile Computing
Courtney McAlister, Maureen Schmitter-Edgecombe
OBJECTIVE: Few studies have examined functional abilities and complaints in healthy older adults (HOAs) with subjective cognitive concerns (SCC). The aims of this study were to assess everyday functioning in HOAs reporting high and low amounts of SCC and examine cognitive correlates of functional abilities. METHOD: Twenty-six HOAs with high SCC and 25 HOAs with low SCC, as well as their knowledgeable informants, completed the Instrumental Activities of Daily Living-Compensation (IADL-C), a questionnaire measure of everyday functioning...
October 2016: Clinical Neuropsychologist
Courtney McAlister, Maureen Schmitter-Edgecombe
Everyday functioning and its executive functioning cognitive correlates (i.e., switching, inhibition, and updating) were investigated in healthy older adults (HOAs) using multiple methods of functional status. In addition to whether computerized experimental tasks would better dissociate these subcomponents than neuropsychological measures of executive functioning, we were also interested in the contributions of both experimental and neuropsychological measures of executive function subcomponents to functional abilities...
October 2016: Journal of Clinical and Experimental Neuropsychology
Christa Simon, Maureen Schmitter-Edgecombe
INTRODUCTION: The use of compensatory strategies plays an important role in the ability of older adults to adapt to late-life memory changes. Even with the benefits associated with compensatory strategy use, little research has explored specific mechanisms associated with memory performance and compensatory strategies. Rather than an individual's objective memory performance directly predicting their use of compensatory strategies, it is possible that some other variables are indirectly influencing that relationship...
August 2016: Journal of Clinical and Experimental Neuropsychology
Kyle D Feuz, Diane J Cook, Cody Rosasco, Kayela Robertson, Maureen Schmitter-Edgecombe
Individuals with cognitive impairment can benefit from intervention strategies like recording important information in a memory notebook. However, training individuals to use the notebook on a regular basis requires a constant delivery of reminders. In this work, we design and evaluate machine learning-based methods for providing automated reminders using a digital memory notebook interface. Specifically, we identify transition periods between activities as times to issue prompts. We consider the problem of detecting activity transitions using supervised and unsupervised machine learning techniques, and find that both techniques show promising results for detecting transition periods...
October 2015: IEEE Transactions on Human-machine Systems
Courtney McAlister, Maureen Schmitter-Edgecombe
Everyday memory lapses experienced by older adults (OAs) were examined using a daily-diary checklist and retrospective questionnaire. In Experiment 1, 138 younger and 138 OAs indicated the frequency of forgetting of 16 memory lapses, and whether each occurred daily during the course of a week. OAs reported more memory lapses on the questionnaire, but not the daily diary. OAs reported more frequently forgetting names and words, while younger adults had more difficulty with appointments and personal dates. Fewer memory lapses on the daily diary were related to better performance on a laboratory-memory measure for OAs...
September 2016: Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition
Chad Sanders, Maureen Schmitter-Edgecombe
Thirty-two younger adults (YAs) and 64 older adults (OAs) completed the Amap Task, a naturalistic measure designed to evaluate the formulation and execution stages of planning. Participants read a map layout of a university apartment and planned an efficient strategy to complete several tasks. To determine whether execution abilities are augmented by formulating a plan, we compared formal (i.e., written strategy) and informal (i.e., initiate task when ready without writing out a strategy) planning conditions...
November 11, 2015: Neuropsychological Rehabilitation
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