Assessment of finger movement characteristics in dementia patients using a magnetic sensing finger-tap device

Sugioka, Junpei; Kizuka, Shiori; Mizuguchi, Tomohiko; Sano, Yuko; Kandori, Akihiko; Kondo, Izumi; Suzumura, Shota; Kawahara, Yasuhiro; Osawa, Aiko; Maeda, Natsumi; Ito, Michiho; Nagahama, Taishi; Kuno, Katsumi; Shiramoto, Kenta

doi:10.11336/jjcrs.11.91

Cited by 7 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bimanual finger-tapping was performed for 15 s as quickly and widely as possible [ 24 ]. The distance between the thumb and index finger during the finger-tapping movement was measured using a magnetic sensor at 100 Hz (UB-2, Maxell, Ltd., Tokyo, Japan).…”

Section: Methodsmentioning

confidence: 99%

Prefrontal Cerebral Oxygenated Hemoglobin Concentration during the Category Fluency and Finger-Tapping Tasks in Adults with and without Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study

et al. 2022

View full text Add to dashboard Cite

Mild cognitive impairment (MCI) is considered to be the limit between the cognitive changes of aging and early dementia; thus, discriminating between participants with and without MCI is important. In the present study, we aimed to examine the differences in the cerebral oxyhemoglobin signal between individuals with and without MCI. The cerebral oxyhemoglobin signal was measured when the participants (young and elderly controls as well as patients with MCI) performed category fluency, finger tapping, and dual tasks using head-mounted near-infrared spectroscopy; the results were compared between the groups. The cerebral oxyhemoglobin signal trended toward the highest values during the category fluency task in young participants and during the finger-tapping task in elderly participants regardless of the MCI status. The area under the curve was approximately 0.5, indicating a low discrimination ability between elderly participants with and without MCI. The measurement of the blood flow in the prefrontal cortex may not accurately quantify cognitive and motor performance to detect MCI. Finger tapping may increase cerebral blood flow in individuals with and without MCI during the task.

show abstract

Section: Methodsmentioning

confidence: 99%

Prefrontal Cerebral Oxygenated Hemoglobin Concentration during the Category Fluency and Finger-Tapping Tasks in Adults with and without Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study

et al. 2022

View full text Add to dashboard Cite

show abstract

“…However, of the 44 parameters measured, those that differed significantly in interhemispheric inhibition varied widely from study to study. Table 2 presents the conditions of the hand-tapping task, measured parameters, individuals compared with the measured parameters, method of comparison, and parameters for which significant differences were found and reported in the studies from the PubMed database [45,[49][50][51][52][53][54], in which elderly individuals and children were the participants and a magnetic sensor-type finger-tapping device was used. Future studies identifying at least one promising measurement parameter from the aforementioned 44 parameters for evaluating interhemispheric inhibition using the magnetic sensor finger-tapping device are warranted.…”

Section: (1) Unilateral Finger-tapping Task Performed With the Nondom...mentioning

confidence: 99%

“…In particular, improved finger movement ability leads to improved activities of daily living in older adults with dementia [55], and studies investigating the relationship between bimanual coordination movements and cognitive function have gained attention in recent years. Several studies have compared individuals with Alzheimer's disease (AD) or mild cognitive impairment (MCI) with healthy elderly individuals [49,50,54]. In one such study, Suzumura et al compared and verified the motion characteristics of bimanual coordinated movement in 173 MCI patients and 173 healthy elderly subjects using a magnetic sensor finger-tapping device [54].…”

Section: Bimanual Coordinated Movements and Agingmentioning

confidence: 99%

Assessment of Brain Inhibitory Function in Physical Therapy

Fujikawa,

Sawai,

Yamamoto

et al. 2023

Physical Therapy - Towards Evidence-Based Practice

View full text Add to dashboard Cite

Interhemispheric inhibition is an inhibitory function of the brain that enables complex human locomotion and plays an important role in motor control. Traditionally, interhemispheric inhibition has been assessed using transcranial magnetic stimulation, functional magnetic resonance imaging, and electroencephalography. However, motor overflow and bimanual coordinated movements have recently attracted attention as behavioral indices involving interhemispheric inhibition. Motor overflow is defined as the presence of involuntary movements or weak muscle activity that appears with voluntary movements and has been found to occur mainly in the elderly, children, and those with central nervous system diseases. In addition, interhemispheric inhibition is involved in bimanual coordinated movements associated with interhemispheric motor control and information processing. This chapter outlines motor overflow and bimanual coordinated movements as new behavioral indices of interhemispheric inhibition and proposes assessment methods that can be performed in physiotherapy clinics.

show abstract

“…We have conducted preliminary studies on finger movements in patients with dementia based on the fact that hand movements may detect pathological changes in the brain at an early stage. Accordingly, we detected finger movement features with cognitive decline; finger dexterity declines at AD and MCI stages compared to healthy conditions [15][16][17][18][19]. In a study of cognitive function and hand function at other institutions, it was reported that the number of finger taps decreased and that the tapping interval increased in patients with AD and MCI than in healthy older adults [20].…”

Section: Introductionmentioning

confidence: 99%

Relationship between finger movement characteristics and brain voxel-based morphometry

Sugioka

Suzumura²,

Kuno³

et al. 2022

PLoS ONE

Self Cite

View full text Add to dashboard Cite

Background Aging is the most significant risk factor for dementia. Alzheimer’s disease (AD) accounts for approximately 60–80% of all dementia cases in older adults. This study aimed to examine the relationship between finger movements and brain volume in AD patients using a voxel-based reginal analysis system for Alzheimer’s disease (VSRAD) software. Methods Patients diagnosed with AD at the Center for Comprehensive Care and Research on Memory Disorders were included. The diagnostic criteria were based on the National Institute on Aging-Alzheimer’s Association. A finger-tapping device was used for all measurements. Participants performed the tasks in the following order: with their non-dominant hand, dominant hand, both hands simultaneously, and alternate hands. Movements were measured for 15 s each. The relationship between distance and output was measured. Magnetic resonance imaging measurements were performed, and VSRAD was conducted using sagittal section 3D T1-weighted images. The Z-score was used to calculate the severity of medial temporal lobe atrophy. Pearson’s product-moment correlation coefficient analyzed the relationship between the severity of medial temporal lobe atrophy and mean values of the parameters in the finger-tapping movements. The statistical significance level was set at <5%. The calculated p-values were corrected using the Bonferroni method. Results Sixty-two patients were included in the study. Comparison between VSRAD and MoCA-J scores corrected for p-values showed a significant negative correlation with the extent of gray matter atrophy (r = -0. 52; p< 0.001). A positive correlation was observed between the severity of medial temporal lobe atrophy and standard deviation (SD) of the distance rate of velocity peak in extending movements in the non-dominant hand (r = 0. 51; p< 0.001). Conclusions The SD of distance rate of velocity peak in extending movements extracted from finger taps may be a useful parameter for the early detection of AD and diagnosis of its severity.

show abstract

Assessment of finger movement characteristics in dementia patients using a magnetic sensing finger-tap device

Cited by 7 publications

References 26 publications

Prefrontal Cerebral Oxygenated Hemoglobin Concentration during the Category Fluency and Finger-Tapping Tasks in Adults with and without Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study

Prefrontal Cerebral Oxygenated Hemoglobin Concentration during the Category Fluency and Finger-Tapping Tasks in Adults with and without Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study

Assessment of Brain Inhibitory Function in Physical Therapy

Relationship between finger movement characteristics and brain voxel-based morphometry

Contact Info

Product

Resources

About