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Centre For Cognitive and Clinical Neuroscience, College of Health, Medicine and Life Sciences, Brunel University of London, London, UK.
Introduction: There is an ongoing debate about the neural mechanisms and subjective preferences involved in the processing of social rewards compared to non-social reward types.
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Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Right hemisphere language network plasticity in aphasia.
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Center for Brain Plasticity and Recovery, Center for Aphasia Research and Rehabilitation, Departments of Neurology and Rehabilitation Medicine, Georgetown University Medical Center, Washington, DC, 20057 USA.
The role of the right hemisphere in aphasia recovery has been controversial since the 19th century. Imaging studies have sometimes found increased activation in right hemisphere regions homotopic to canonical left hemisphere language regions, but these results have been questioned due to small sample sizes, unreliable imaging tasks, and task performance confounds that affect right hemisphere activation levels even in neurologically healthy adults. Several principles of right hemisphere language recruitment in aphasia have been proposed based on these studies: that the right hemisphere is recruited primarily by individuals with severe left hemisphere damage, that transcallosal disinhibition results in recruitment of right hemisphere regions homotopic to the lesion, and that increased right hemisphere activation diminishes to baseline levels over time.
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Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Exp Aging Res
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Department of Rehabilitation, Naragakuen University, Nara, Japan.
Purpose: Patients with Alzheimer's disease (AD) lose the ability to manage their medications as the disease progresses. Several methods have been used to administer medication to patients at home using Internet of Things (IoT) devices for rehabilitation, but no studies have yet been published investigating the factors that influence the success or failure of this approach in older adults and patients with AD. Therefore, this study aimed to investigate differences in medication-related behaviors and their influencing factors in older adults, both with and without AD, using IoT.
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