27 research outputs found

    Social cognition and its relationship to functional outcomes in patients with sustained acquired brain injury

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    Deficits in social cognition are common after traumatic brain injury (TBI). However, little is known about how such deficits affect functional outcomes. The purpose of this study was to investigate the relationship between social cognition and functional outcomes in patients with TBI. We studied this relationship in 20 patients with TBI over the course of 1 year post-injury. Patients completed neurocognitive assessments and social cognition tasks. The social cognition tasks included an emotion-perception task and three theory of mind tasks: the Faux Pas test, Reading the Mind in the Eyes (Eyes) test, and the Moving-Shapes paradigm. The Craig Handicap Assessment and Reporting Technique was used to assess functional outcomes. Compared with our database of normal subjects, patients showed impairments in all social cognition tasks. Multiple regression analysis revealed that theory of mind ability as measured by the Eyes test was the best predictor of the cognitive aspects of functional outcomes. The findings of this pilot study suggest that the degree to which a patient can predict what others are thinking is an important measure that can estimate functional outcomes over 1 year following TBI

    Combining Multiple Indices of Diffusion Tensor Imaging Can Better Differentiate Patients with Traumatic Brain Injury from Healthy Subjects

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    Aim: Diffuse axonal injury (DAI) is one of the most common pathological features of traumatic brain injury (TBI). Diffusion tensor imaging (DTI) indices can be used to identify and quantify white matter microstructural changes following DAI. Recently, many studies have used DTI with various machine learning approaches to predict white matter microstructural changes following TBI. The current study sought to examine whether our classification approach using multiple DTI indices in conjunction with machine learning is a useful tool for diagnosing/classifying TBI patients and healthy controls. Methods: Participants were adult patients with chronic TBI (n = 26) with DAI pathology, and age- and sex-matched healthy controls (n = 26). DTI images were obtained from all participants. Tract-based spatial statistics analyses were applied to DTI images. Classification models were built using principal component analysis and support vector machines. Receiver operator characteristic curve analysis and area under the curve were used to assess the classification performance of the different classifiers. Results: Tract-based spatial statistics revealed significantly decreased fractional anisotropy, as well as increased mean diffusivity, axial diffusivity, and radial diffusivity in patients with TBI compared with healthy controls (all p-values < 0.01). The principal component analysis and support vector machine-based machine learning classification using combined DTI indices classified patients with TBI and healthy controls with an accuracy of 90.5% with an area under the curve of 93 ± 0.09. Conclusion: These results highlight the potential of our approach combining multiple DTI measures to identify patients with TBI

    A venous mechanism of ventriculomegaly shared between traumatic brain injury and normal ageing

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    ヒト脳の新しい加齢バイオマーカーを発見 --脳萎縮のメカニズム解明へ向けて--. 京都大学プレスリリース. 2020-05-21.Recently, age-related timing dissociation between the superficial and deep venous systems has been observed; this was particularly pronounced in patients with normal pressure hydrocephalus, suggesting a common mechanism of ventriculomegaly. Establishing the relationship between venous drainage and ventricular enlargement would be clinically relevant and could provide insight into the mechanisms underlying brain ageing. To investigate a possible link between venous drainage and ventriculomegaly in both normal ageing and pathological conditions, we compared 225 healthy subjects (137 males and 88 females) and 71 traumatic brain injury patients of varying ages (53 males and 18 females) using MRI-based volumetry and a novel perfusion-timing analysis. Volumetry, focusing on the CSF space, revealed that the sulcal space and ventricular size presented different lifespan profiles with age; the latter presented a quadratic, rather than linear, pattern of increase. The venous timing shift slightly preceded this change, supporting a role for venous drainage in ventriculomegaly. In traumatic brain injury, a small but significant disease effect, similar to idiopathic normal pressure hydrocephalus, was found in venous timing, but it tended to decrease with age at injury, suggesting an overlapping mechanism with normal ageing. Structural bias due to, or a direct causative role of ventriculomegaly was unlikely to play a dominant role, because of the low correlation between venous timing and ventricular size after adjustment for age in both patients and controls. Since post-traumatic hydrocephalus can be asymptomatic and occasionally overlooked, the observation suggested a link between venous drainage and CSF accumulation. Thus, hydrocephalus, involving venous insufficiency, may be a part of normal ageing, can be detected non-invasively, and is potentially treatable. Further investigation into the clinical application of this new marker of venous function is therefore warranted
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