BackgroundThe purpose of this study was to examine task-related changes in prefrontal cortex (PFC) activity during a dual-task in both healthy young and older adults and compare patterns of activation between the age groups. We also sought to determine whether brain activation during a dual-task relates to executive/attentional function and how measured factors associated with both of these functions vary between older and younger adults.ResultsThirty-five healthy volunteers (20 young and 15 elderly) participated in this study. Near-infrared spectroscopy (NIRS) was employed to measure PFC activation during a single-task (performing calculations or stepping) and dual-task (performing both single-tasks at once). Cognitive function was assessed in the older patients with the Trail-making test part B (TMT-B). Major outcomes were task performance, brain activation during task (oxygenated haemoglobin: Oxy-Hb) measured by NIRS, and TMT-B score. Mixed ANOVAs were used to compare task factors and age groups in task performance. Mixed ANOVAs also compared task factors, age group and time factors in task-induced changes in measured Oxy-Hb. Among the older participants, correlations between the TMT-B score and Oxy-Hb values measured in each single-task and in the dual-task were examined using a Pearson correlation coefficient.Oxy-Hb values were significantly increased in both the calculation task and the dual-task within patients in both age groups. However, the Oxy-Hb values associated with there were higher in the older group during the post-task period for the dual-task. Also, there were significant negative correlations between both task-performance accuracy and Oxy-Hb values during the dual-task and participant TMT-B scores.ConclusionsOlder adults demonstrated age-specific PFC activation in response to dual-task challenge. There was also a significant negative correlation between PFC activation during dual-task and executive/attentional function. These findings suggest that the high cognitive load induced by dual-task activity generates increased PFC activity in older adults. However, this relationship appeared to be strongest in participants with better baseline attention and executive functions.

[Purpose] This study evaluated the influence of vibratory stimulation-induced kinesthetic illusion on brain function after stroke. [Subjects] Twelve healthy individuals and 13 stroke patients without motor or sensory loss participated. [Methods] Electroencephalograms were taken at rest and during vibratory stimulation. As a neurophysiological index of brain function, we measured the μ-rhythm, which is present mainly in the kinesthetic cortex and is attenuated by movement or motor imagery and compared the data using source localization analyses in the Standardized Low Resolution Brain Electromagnetic Tomography (sLORETA) program. [Results] At rest, μ-rhythms appeared in the sensorimotor and supplementary motor cortices in both healthy controls and stroke patients. Under vibratory stimulation, no μ-rhythm appeared in the sensorimotor cortex of either group. Moreover, in the supplementary motor area, which stores the motor imagery required for kinesthetic illusions, the μ-rhythms of patients were significantly stronger than those of the controls, although the μ-rhythms of both groups were reduced. Thus, differences in neural activity in the supplementary motor area were apparent between the subject groups. [Conclusion] Kinesthetic illusions do occur in patients with motor deficits due to stroke. The neural basis of the supplementary motor area in stroke patients may be functionally different from that found in healthy controls.

[Purpose] The purpose of this study was to evaluate the lower limb muscle strength of the community-dwelling elderly, with or without cognitive decline, using isometric knee extension strength (IKES) and the 30-second chair stand test (CS-30). [Subjects] A total of 306 community-dwelling elderly participated in this study. Assessment items were the CS-30, IKES, Mini-Mental State Examination (MMSE), and Trail-Making Test Part A (TMT-A). [Methods] Participants were divided into three groups according to their MMSE score: cognitive impairment (MMSE ≤ 24), cognitive decline (MMSE 25 to 27), and normal (MMSE ≥ 28). We compared IKES and CS-30 among the three groups. [Results] IKES was not significantly different among the three groups. However, the CS-30 was significantly different among the three groups. Upon further analysis the CS-30 score of each group, when adjusted for age and TMT-A, did not indicate a significant difference. [Conclusion] These results suggest that the lower limb muscle strength of the elderly does not differ with cognitive decline. Moreover, we suggest that when using the CS-30 score as an indicator of lower limb muscle strength attentional function should be taken into account.

Robot-assisted activity (RAA) is a non-pharmacological therapy used to treat behavioral and psychological symptoms of dementia. This study investigated the immediate effects of RAA on psychological and neurophysiological indices. Twenty-eight elderly people were assigned to the cognitive decline group ( n = 11) or control group ( n = 17) based on their Mini-Mental State Examination scores. After 5-min RAA sessions that involved patients interacting with a communication robot, patient emotions and mood states were measured, and resting-state EEG activity and salivary cortisol were assessed before and after RAA. We found that compared with those in the control group, participants in the cognitive decline group did not enjoy RAA using the communication robot. This was corroborated by EEG findings indicating decreased relaxation immediately after RAA exposure. These results suggested that participants with cognitive decline had difficulty understanding the contents of communication with the robot. Our results indicated that elderly people who have cognitive decline and use day-service centers are less likely to experience the immediate benefits of RAA, including positive emotions and mental relaxation. To conduct effective RAA for such populations, it may be useful to select a method that is better understood and enjoyed by participants.

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Previous studies have revealed that physical activity can affect brain function and cognitive decline.Additionally, we confirmed that brain activation in the prefrontal cortex (PFC) during a cognitive task was correlated with cognitive function. Based on these findings, we hypothesized that brain activation also affects cognitive function, which increases due to stimulation from physical activity. The purpose of this study was to verify causal relationships between physical activity, PFC activation, and cognitive function using the statistical method of path analyses in a multi-model approach.Forty-six healthy volunteers (10 males, mean age: 76.1, standard deviation: 6.8) participated in this study.Informed consent was obtained from all participants prior to enrollment. This study was approved by the Ethics Committee of Seirei Christopher University (approval No. 10067). We assessed physical activity via participants' self-reports, determined PFC activation during a dual task using near-infrared spectroscopy, and measured cognitive function with the Trail-Making Test Part B. To determine the causal relationship between physical activity, PFC activation, and cognitive function, path analyses were conducted using AMOS 16 structural equation This study statistically revealed the causal relationships between physical activity, PFC activation, and cognitive function. Path analyses indicated that physical activity affected cognitive function via PFC activation.

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