Neural Basis of Categorical Representations of Animal Body Silhouettes

Neural Mechanism | Neural Basis of Animal Body Silhouette Classification This article, written by Yue Pu and Shihui Han, published in “neurosci. bull.” in 2024, explores the neural processes of rapid classification and cognition of animal body silhouettes in humans. The study aims to reveal how humans identify and categorize individuals of differen...

Cortical Morphological Networks Differ Between Gyri and Sulci

Differences in Brain Cortical Morphological Networks Between Gyri and Sulci Introduction The human brain, as an interconnected complex network, can be mapped through virtual imaging using multimodal magnetic resonance imaging (MRI) technology. By analyzing this network using graph theory methods, many studies have discovered some non-trivial topolo...

The Role of Occipitotemporal Network for Speed-Reading: An fMRI Study

The Role of Occipitotemporal Network for Speed-Reading: An fMRI Study

The Role of Occipitotemporal Network in Rapid Reading - An fMRI-based Study Background Reading is the most effective cognitive means for humans to acquire new knowledge. Although most native English-speaking adults read at an average speed of about 200 to 400 words per minute (w/min), many people hope to increase their reading speed to acquire new ...

Perioperative levels of IL8 and IL18, but not IL6, are associated with nucleus basalis magnocellularis atrophy three months after surgery

Association Study of Perioperative IL8 and IL18 Levels with Brain Basal Ganglia Atrophy Three Months After Surgery Background In recent years, an increasing number of studies have shown that surgical procedures may accelerate brain atrophy. Meanwhile, the relationship between systemic inflammation and neurodegenerative diseases has also received co...

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Automated Clinical Assessment of Abnormal Walking Movements in ABI Patients Through Image Extraction and Classification Systems Academic Background Walking disability is a common physical impairment following Acquired Brain Injury (ABI). ABI typically includes stroke and traumatic brain injury, with a global incidence of approximately 1.5 million c...

Influence of Virtual Reality and Task Complexity on Digital Health Metrics Assessing Upper Limb Function

A Study Report on the Impact of Task Complexity on Digital Health Metrics Evaluation of Upper Limb Function Research Background In patients with neurological diseases such as multiple sclerosis (PWMS), the prevalent upper limb dysfunction significantly affects the completion of daily living activities, increasing dependence on caregivers. To enhanc...

A Scoping Review on Examination Approaches for Identifying Tactile Deficits at the Upper Extremity in Individuals with Stroke

Academic Report on “The Scope Review of Upper Limb Tactile Deficit Examination Methods” In recent years, post-stroke patients’ capacity to perceive tactile stimuli has become a focal point of research. This perception is very important for the execution of movements and learning activities in everyday life. However, tactile perceptual deficits seri...

Robot-aided assessment and associated brain lesions of impaired ankle proprioception in chronic stroke

Robot-Assisted Assessment of Chronic Stroke Adults’ Ankle Proprioception Deficits and Related Brain Injury Academic Background Stroke is a common neurological disorder, often resulting in hemiplegia, which affects the patient’s balance and gait control. Proprioception refers to the self-perception of body posture and movement, provided by mechanore...

Enhancing Fall Risk Assessment: Instrumenting Vision with Deep Learning During Walks

Introduction Fall events are common across various clinical populations, with usual risk assessments including visual observation of individual gait. However, gait observation assessments are typically confined to laboratory settings, involving standardized walking protocol tests to identify potential defects that might increase fall risk. Subtle d...

Automatic Gait Events Detection with Inertial Measurement Units: Healthy Subjects and Moderate to Severe Impaired Patients

A New Method for Automatic Gait Event Detection: Analysis of Inertial Measurement Units in Healthy Subjects and Patients with Moderate to Severe Impairment Cyril Voisard, Nicolas de L’Escalopier, Damien Ricard, Laurent Oudre. Journal of NeuroEngineering and Rehabilitation (2024) 21:104 https://doi.org/10.1186/s12984-024-01405-x Background of the St...