Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility

Face-to-face assessment versus tele-assessment of chronic stroke patients: do the results meet the needs?

Aim: Baseline evaluation of stroke patients is valuable to manage the treatment plan. As in the case of stroke evaluation and rehabilitation, in every aspects of healthcare, tele-medicine is growing gradually. The aim of this descriptive study was to explore whether initial tele-assessment of chronic stroke patients is similar to face-to-face assessment in terms of clinical scales. Material and Method: Thirty-four chronic stroke patients (mean post-stroke duration 21.44±15.47 months; stroke etiology, 58.8% ischemic; hemiplegic side, 52.9% left; mean age 49.24±12.51; 22 males; 12 females) were included in this trial. Firstly, all the patients were evaluated online, and then at the same day they were evaluated face-to-face by the clinical scales including Chair Stand Test, Berg Balance Scale, Stroke specific Quality of Life scale, Motricity Index. Results: The findings of the present study revealed that there was no statistically significant difference between tele-assessment and face-to-face assessment for all the scales (p>0.05) except Chair Stand Test (mean time to stand: 9.41 secs vs 8.94 secs in tele-assessment and face-to-face respectively; p

Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry

It is now possible to estimate an individual's brain age via brain scans and machine-learning models. This validated technique has opened up new avenues for addressing clinical questions in neurology, and, in this review, we summarize the many clinical applications of brain-age estimation in neuropsychiatry and general populations. We first provide an introduction to typical neuroimaging modalities, feature extraction methods, and machine-learning models that have been used to develop a brain-age estimation framework. We then focus on the significant findings of the brain-age estimation technique in the field of neuropsychiatry as well as the usefulness of the technique for addressing clinical questions in neuropsychiatry. These applications may contribute to more timely and targeted neuropsychiatric therapies. Last, we discuss the practical problems and challenges described in the literature and suggest some future research directions.