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Traumatic Brain Injury l: Introduction

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DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...

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Disrupted Functional Brain Network Architecture in Sufferers with Boxing-Related Repeated Mild Traumatic Brain

Shukai Wu¹, Zhenghao Fu², Shuochen Wang³

¹Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, 362000 Quanzhou, Fujian, China.

Journal of Integrative Neuroscience

|May 30, 2024

Summary

This summary is machine-generated.

Repetitive mild traumatic brain injury (rmTBI) in boxers impairs brain network efficiency and small-world characteristics. This study reveals altered functional connectivity, particularly in the gamma band, impacting information processing in athletes with boxing-related injuries.

Keywords:

electroencephalography network-based statistic neurocognitive processing repetitive mild traumatic brain injury resting-state functional networks

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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

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Published on: July 14, 2023

Area of Science:

Neuroscience
Sports Medicine
Brain Injury Research

Background:

Repetitive mild traumatic brain injury (rmTBI) is common in contact sports like boxing.
Understanding rmTBI's impact on brain function is crucial for athlete safety and management.

Purpose of the Study:

To investigate the effects of rmTBI on functional brain network architecture using phase-locking value (PLV)-based graph theory.
To analyze alterations in five frequency bands within resting-state electroencephalography (EEG) data of professional boxers.

Main Methods:

Collected resting-state EEG data from 24 professional boxers and 25 healthy controls.
Constructed PLV matrices to assess phase synchronization and graph-theoretic properties.
Utilized network-based statistics (NBS) to compare functional brain networks between groups.

Main Results:

Boxers showed increased PLV synchronization and altered functional centers, especially in the gamma band.
Attenuated network parameters and decreased small-world measures were observed in theta, beta, and gamma bands.
NBS revealed increased network connectivity in boxers across theta, beta, and gamma bands, with asymmetric hemispheric distribution.

Conclusions:

This is the first study to examine rmTBI deficits using PLV graph theory and NBS in resting-state EEG.
Altered graph-theoretic characteristics and asymmetric hyperconnectivity indicate impaired brain network organization in boxers.
These findings offer a potential method for assessing resting-state network deficiencies in sports-related rmTBI.