Toward the development of a training program that promotes a "social model of disability" for physical therapists: a discussion on experiential learning surrounding the use of "acceptance of disability" by physical therapists.

[Purpose] This study aimed to extract knowledge for the development of a training program for creating a social model of disability for physical therapists, focusing on the experiential learning of those physical therapists who did not use acceptance of disability according to their subjective judgment. [Participants and Methods] The study included 11 physical therapists who were interviewed about their use of acceptance of disability and the circumstances leading to its non-use. [Results] The study identified the past and current use of acceptance of disability, as well as cases and reasons for its discontinuation, along with changes in clinical content.

Prediction of Alzheimer's Disease in Amnestic Mild Cognitive Impairment Subtypes: Stratification Based on Imaging Biomarkers.

Background: Prediction of progression to Alzheimer's disease (AD) in amnestic mild cognitive impairment (MCI) is challenging because of its heterogeneity.

Objective: To evaluate a stratification method on different cohorts and to investigate whether stratification in amnestic MCI could improve prediction accuracy.

Methods: We identified 80 and 79 patients with amnestic MCI from different cohorts, respectively.

Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.

Background: The choice of biomarkers for early detection of Alzheimer's disease (AD) is important for improving the accuracy of imaging-based prediction of conversion from mild cognitive impairment (MCI) to AD. The primary goal of this study was to assess the effects of imaging modalities and brain atlases on prediction. We also investigated the influence of support vector machine recursive feature elimination (SVM-RFE) on predictive performance.

A comparison of three brain atlases for MCI prediction.

Background: Although previous voxel-based studies using features extracted by atlas-based parcellation produced relatively poor performances on the prediction of Alzheimer's disease (AD) in subjects with mild cognitive impairment (MCI), classification performance usually depends on features extracted from the original images by atlas-based parcellation. To establish whether classification performance differs depending on the choice of atlases, support vector machine (SVM)-based classification using different brain atlases was performed.

New Method: Seventy-seven three-dimensional T1-weighted MRI data sets of subjects with amnestic MCI, including 39 subjects who developed AD (MCI-C) within three years and 38 who did not (MCI-NC), were used for voxel-based morphometry (VBM) analyses and analyzed using SVM-based pattern recognition methods combined with a feature selection method based on the SVM recursive feature elimination (RFE) method.

Anisotropic conduction properties in canine atria analyzed by high-resolution optical mapping: preferential direction of conduction block changes from longitudinal to transverse with increasing age.

Background: Anisotropic conduction properties may provide a substrate for reentrant arrhythmias. We investigated the age-dependent changes of structural and functional anisotropy in isolated right atria from infant (1 to 2 months), young (6 to 12 months), and old (6 to 10 years) dogs.

Methods And Results: The histology of the mapped atrial tissues (a small subepicardial area, 2.