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  5. INCREASING COGNITIVE TASK COMPLEXITY IN A RUN TO CUT MANEUVER
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INCREASING COGNITIVE TASK COMPLEXITY IN A RUN TO CUT MANEUVER

Date Issued
August 1, 2025
Author(s)
Perille, Katherine  
Advisor(s)
Joshua T. Weinhandl
Additional Advisor(s)
Joshua T. Weinhandl
Jared M. Porter
Louis Rocconi
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/36151
Abstract

Anterior cruciate ligament (ACL) injuries are prevalent in sports, particularly among female athletes, and are often associated with non-contact mechanisms such as rapid directional changes and poor neuromuscular control. Traditional injury prevention and rehabilitation programs focus primarily on neuromuscular training; however, emerging evidence suggests that neurocognitive challenges play a critical role in injury risk and recovery. This study examines the impact of increasing neurocognitive task complexity on knee biomechanics during a run-to-cut maneuver, with specific attention to lower limb kinetics and kinematics. Using the Flanker Task to introduce varying cognitive loads, this research evaluates changes in knee abduction angles, knee abduction moments, and center of mass displacement in response to visual stimuli. The study aims to determine whether increased cognitive demands exacerbate biomechanical risk factors for ACL injury and to assess differences in movement patterns between dominant and non-dominant limbs. Findings from this research will contribute to the development of comprehensive injury prevention and rehabilitation programs that integrate neurocognitive training with traditional neuromuscular control exercises, ultimately enhancing athlete safety and performance.

Subjects

biomechanics

anterior cruciate lig...

injury

injury prevention

injury rehabilitation...

Disciplines
Biomechanics
Degree
Master of Science
Major
Kinesiology
File(s)
Thumbnail Image
Name

KPerille_Thesis_Final_Document_Corrections.docx

Size

1.34 MB

Format

Microsoft Word XML

Checksum (MD5)

84f554c1ab15f0fe8703c2d205c9de11

Thumbnail Image
Name

auto_convert.pdf

Size

1.75 MB

Format

Adobe PDF

Checksum (MD5)

2884e5ac215513d3280c92244042e263


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