Cognitive screening test for rehabilitation using spatiotemporal data extracted from a digital trail making test part-A.

We investigated a newly developed digitized Trail Making Test using an iPad (iTMT) as a brief cognitive function screening test. We found that the iTMT part-A (iTMT-A) can estimate generalized cognitive function in rehabilitation inpatients examined using the Mini-Mental State Examination (MMSE). Forty-two hospitalized participants undergoing rehabilitation (rehab participants), 30 of whom had cerebral infarction/hemorrhage (stroke participants), performed the iTMT five times (first three times: iTMT-A; fourth: paper version of TMT-A; fifth: the inverse version of iTMT-A) and the MMSE once.

Vertical dynamic visual acuity is significantly lower than horizontal dynamic visual acuity.

Dynamic visual acuity (DVA) is crucial for the perception of moving objects. While traditional DVA assessment tools predominantly focus on horizontal movements, the evaluation of vertical DVA remains unstandardized. Consequently, the disparities between vertical and horizontal DVAs are yet to be thoroughly investigated.

Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment.

Aim: A testing method for early diagnosis of Mild cognitive dementia (MCI) that can be easily applied in clinical practice was investigated in this study. We examined whether MCI risk can be determined through finger movements.

Methods: Between 2013 and 2020, 1097 individuals were screened.

Relationship between finger movement characteristics and brain voxel-based morphometry.

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.

Assessment of finger motor function that reflects the severity of cognitive function.

Objectives: We conducted a finger tapping movement test using a finger tapping device with magnetic sensors (UB-2) and performed multiple regression analyses using a number of finger movements parameters to estimate the severity of cognitive impairment.

Methods: The subjects of this study were 64 patients, including 44 diagnosed with Alzheimer's disease (AD) (mean age: 73.8±7.

Pen-point Trajectory Analysis During Trail Making Test Based on a Time Base Generator Model.

The Trail Making test (TMT) is a widely used neuropsychological test to assess the cognitive function of patients. This paper presents the analysis method of pen-point trajectory during the TMT based on a time base generator (TBG). In the proposed method, the movement segments between targets are first extracted from pen-point trajectories, which are measured during performance of the TMT on an iPad.

Boys with attention-deficit/hyperactivity disorder perform wider and fewer finger tapping than typically developing boys - Peer comparisons and the effects of methylphenidate from an exploratory perspective.

Aim: This study aimed to investigate the differences in fine motor and coordination skills between boys with attention-deficit/hyperactivity disorder (ADHD) and typically developing (TD) boys and the effect of methylphenidate (MPH) in boys with ADHD.

Methods: Fourteen boys aged 7-12 years who were diagnosed with ADHD and previously treated with MPH were instructed to tap their thumbs and index fingers together repetitively for 10 s after attaching magnetic sensors. The participants executed "in-phase" and "anti-phase" tapping.

Detection of Abnormal Segments in Finger Tapping Waveform using One-class SVM.

We have developed a finger-tapping device with magnetic sensors, UB2, for the early detection of dementia. The goal of the present study is to develop a method for detecting abnormal segments in the finger tapping waveform in an objective way using machine learning and to evaluate the method in comparison with a human visual assessment. Fifteen-second right-hand finger tapping waveforms of 228 healthy volunteers were measured and cut into one-cycle taps.

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

Aim: We have developed a smart terminal device for screening finger function, and investigated the capability of this tool for detecting abnormalities of finger dexterity.

Methods: Finger dexterity was measured for 31 patients with Alzheimer's disease (AD group), 15 people diagnosed with mild cognitive impairment (MCI group) and 48 family members (healthy older adult group) as the control. Cognitive function was assessed using the Mini-Mental State Examination.