Differences among patients with Alzheimer's disease, older adults with mild cognitive impairment and healthy older adults in finger dexterity

Suzumura, Shota; Osawa, Aiko; Maeda, Natsumi; Sano, Yuko; Kandori, Akihiko; Mizuguchi, Tomohiko; Yin, Ying; Kondo, Izumi

doi:10.1111/ggi.13277

Cited by 40 publications

(59 citation statements)

References 27 publications

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“…Three articles discussed the use of new data streams unobtainable from paper-based tests (Dahmen et al, 2017; Fellows et al, 2017; Muller et al, 2017). We also reviewed research that used game performance metrics (Thompson et al, 2012; Tong et al 2016), GPS data (Tung et al, 2014), Virtual Reality activities (Ip et al, 2017; Zygouris et al, 2017), speech changes (Konig et al, 2018), and physical movement changes (Suzumura et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

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Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review

Koo

Vizer

2019

Innovation in Aging

161

125

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Background and ObjectivesThe number of people diagnosed with dementia is rising appreciably as the population ages. In an effort to improve outcomes, many have called for facilitating early detection of cognitive decline. Increased use of mobile technology by older adults provides the opportunity to deliver convenient, cost-effective assessments for earlier detection of cognitive impairment. This article presents a review of the literature on how mobile platforms—smartphones and tablets—are being used for cognitive assessment of older adults along with benefits and opportunities associated with using mobile platforms for cognitive assessment.Research Design and MethodsWe searched MEDLINE, Web of Science, PsycInfo, CINAHL, EMBASE, and Cochrane Central Register of Controlled Trials in October 2018. This search returned 7,024 articles. After removing 1,464 duplicates, we screened titles and abstracts then screened full-text for those articles meeting inclusion and exclusion criteria.ResultsTwenty-nine articles met our inclusion criteria and were categorized into 3 groups as follows: (a) mobile versions of existing article or computerized neuropsychological tests; (b) new cognitive tests developed specifically for mobile platforms; and (c) the use of new types of data for cognitive assessment. This scoping review confirms the considerable potential of mobile assessment.Discussion and ImplicationsMobile technologies facilitate repeated and continuous assessment and support unobtrusive collection of auxiliary behavioral markers of cognitive impairment, thus allowing users to view trends and detect acute changes that have traditionally been difficult to identify. Opportunities include using new mobile sensors and wearable devices, improving reliability and validity of mobile assessments, determining appropriate clinical use of mobile assessment information, and incorporating person-centered assessment principles and digital phenotyping.

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Section: Resultsmentioning

confidence: 99%

“…The decline in cognitive function is also correlated with changes in physical movement. Suzumura and colleagues (2018) developed a mobile application measuring fine motor skills from tapping on the tablet screen. Participants tapped markers with the left, right, or both hands in time with a rhythm or audio signal.…”

Section: Resultsmentioning

confidence: 99%

Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review

Koo

Vizer

2019

Innovation in Aging

161

125

View full text Add to dashboard Cite

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“…This suggests that the rhythmic aspects of inter-hand finger coordination, which is primarily associated with the basal ganglia 24 and corpus callosum, 25,26 was maintained in individuals with early cognitive decline, 27 while a previous study reported that it was reduced in patients with MCI or Alzheimer's disease. 12 Therefore, functional and/or structural changes of frontoparietal regions might be responsible for the reduced bimanual tapping speed and reduced stride length in community-dwelling older people with cognitive decline, whereas functions of the basal ganglia and corpus callosum might still be retained in those individuals.…”

Section: Discussionmentioning

confidence: 99%

“…MCI is characterized by: (i) preserved general cognitive function; (ii) objective memory impairment beyond age; (iii) a lack of dementia; and (iv) little or no impairment of the activities of daily living . Although basic activities of daily living performance is preserved, evidence suggests that subtle changes in motor performance can be found in gait performance, balance function, manual dexterity and dual‐task ability . Furthermore, risk of future cognitive decline is associated with reduced physical function .…”

Section: Introductionmentioning

confidence: 99%

Detecting cognitive decline in community‐dwelling older adults using simple cognitive and motor performance tests

Tomita

Tanaka

Takahashi

et al. 2020

Geriatrics Gerontology Int

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Aim The objective of this study was to estimate the predictive accuracy of simple cognitive and motor performance tests to detect cognitive decline (CD) in community‐dwelling older adults. Methods In total, 102 community‐dwelling older adults participated in this study. Cognitive function, gait performance and coordinated finger movements were assessed using the Montreal Cognitive Assessment, the 10‐m walking test and the finger‐tapping test, respectively. We classified the participants into either a CD (n = 60) or a healthy control (n = 42) group. Results Significant group differences were found in the visuospatial/executive function subscale score on the Montreal Cognitive Assessment, stride length and total finger tap count. The results of multivariate logistic regression analysis showed that visuospatial/executive function subscale score, stride length and total tap count were the significant predictors for the presence of CD (sensitivity 83.3%, specificity 82.9%, predictive accuracy 83.2%). We also constructed a decision tree model with these three variables to increase the usefulness of our model as a screening tool by assigning a cut‐off value for each assessment. The sensitivity and specificity of the model were 88.1% and 85.2%, respectively, with an overall predictive accuracy of 86.4%. Conclusions The results of the present study suggest that simple cognitive and motor performance tests have moderate‐to‐high discriminant validity for the presence of CD in community‐dwelling older adults. Addition of such tests might lead to the more accurate detection of early cognitive decline. Geriatr Gerontol Int 2020; ••: ••–••.

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“…Proper execution of motor commands requires accurate sensorimotor integration of somatosensory information [ 57 ]. AD patient’s often have deprivation of sensory-enriching experiences which may affect their health and wellbeing [ 13 , 14 ] and motor abilities, like slowness of movement, altered rhythm, impaired fine motor skills, coordination abnormalities and gait difficulties [ 58 , 59 , 60 ]. Aerobic exercise is likely to provide sensory-enriching inputs and is known to enhance SMI [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

Acute Effects of Aerobic Exercise on Somatosensory-Evoked Potentials in Patients with Mild Cognitive Impairment

et al. 2020

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Mild cognitive impairment (MCI) is becoming a serious problem for developing countries as the lifespan of populations increases. Exercise is known to be clinically beneficial for MCI patients. Somatosensory-evoked potentials (SEPs) may be a potential diagnostic and prognostic marker for this population. The objective of this study was to determine the acute effects of aerobic exercise on SEPs in patients with MCI, to test whether SEPs are sensitive enough to detect improvements in early somatosensory processing. The study had a randomized parallel-group design and included 28 MCI subjects (14 in the experimental group and 14 in the control group). The experimental intervention was 20 min of aerobic exercise using a stationary bicycle. The control intervention involved 20 min of movements and stretches. Subjects were assessed before and after a single intervention session. SEPs were recorded by stimulating the median nerve of the dominant hand. Analysis of normalized SEP peak amplitudes showed that a single session of aerobic activity significantly reduced the N30 peak at the F3 channel (p = 0.03). There were no significant effects of aerobic exercise on SEP peak latencies. The results indicate that 20 min of aerobic exercise has a significant effect on the N30 SEP peak amplitude in MCI patients. The results suggest that aerobic exercise is likely to provide sensory-enriching inputs that enhance sensorimotor integration. Future studies should assess the effects of aerobic exercise on somatosensory processing in progressive stages of Alzheimer’s disease, longer exercise durations, and multiple exercise sessions.

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Differences among patients with Alzheimer's disease, older adults with mild cognitive impairment and healthy older adults in finger dexterity

Abstract: These results show that declines in finger dexterity can reflect declining cognitive function, and that measurement of finger dexterity using our smart terminal device can facilitate screening of large groups for MCI or AD. Geriatr Gerontol Int 2018; 18: 907-914.

Cited by 40 publications

References 27 publications

Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review

Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review

Detecting cognitive decline in community‐dwelling older adults using simple cognitive and motor performance tests

Acute Effects of Aerobic Exercise on Somatosensory-Evoked Potentials in Patients with Mild Cognitive Impairment

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