Naturalistic Reaching
Naturalistic Reaching - Related Videos
02:30
Naturalistic Observations
0 Views •
2020
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
06:51
Assessing Dexterity with Reaching Tasks
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2023
Reaching tasks are employed in behavioral neuroscience to investigate motor learning and forelimb dexterity. Much like human hands, rodents have dexterous forepaws, which are necessary for executing coordinated and precise motor movements. Experimenters may utilize food rewards to train rodents to reach and for testing their reaching abilities. These tasks help behavioral neuroscientist in understanding how CNS injuries, such as a stroke, may impair reaching ability and dexterity in humans.
08:59
Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
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Cited by 19 •
2015
A paradigm is presented to analyze the acquisition of a high-precision skilled forelimb reaching task in rats.
10:36
fMRI Validation of fNIRS Measurements During a Naturalistic Task
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Cited by 107 •
2015
We present a method to compare functional brain activity recorded during a naturalistic task using fNIRS with activity recorded during fMRI.
12:06
The Structure of Skilled Forelimb Reaching in the Rat: A Movement Rating Scale
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Cited by 54 •
2008
The skilled reaching scale divides the movement by a forelimb in a reach for food act into composite elements each of which are evaluated with a three-point scale. The rating scale is described for a normal rat and can be applied toward evaluating neurological motor disorders.
FAQs
Control is distributed across the shoulder, elbow, wrist, and hand rather than assigned to a single joint. These components coordinate to position the arm and orient the hand toward an object, allowing the movement to unfold as a connected action. Examining this coordination helps bioengineers evaluate whether an assistive or prosthetic system supports functional whole-arm behavior.
Vision provides information about the target and the hand’s relationship to it, while proprioception supplies information about limb position and movement. The nervous system uses both sources continuously to guide the hand and modify its trajectory when needed. This feedback-dependent control is important for designing interfaces and devices that respond to changing movement intent.
Minimally constrained environments permit the arm and hand to coordinate during interactions that more closely resemble everyday object-directed actions. In contrast, highly restricted tasks provide a narrower view of movement behavior. Comparing these settings can show whether a neural interface, prosthesis, or assistive device remains effective when users perform actions under more representative conditions.
An assessment focuses on how a person directs the arm and hand toward objects while allowing coordinated movement across the shoulder, elbow, wrist, and hand. Researchers can consider the resulting trajectory and the adjustments supported by vision and proprioception. This approach provides information about sensorimotor control in conditions that are less artificially constrained.
Bioengineers apply this approach when designing and evaluating neural interfaces, robotic prostheses, assistive devices, and rehabilitation systems. The emphasis on realistic interactions helps determine whether a technology supports coordinated movement beyond a narrowly controlled task. Findings can guide systems intended to function more effectively during everyday object-directed activity.
Studying these movements can reveal changes in movement intent and sensorimotor control after injury or during disease. Such observations help connect altered reaching behavior with the requirements of rehabilitation systems or assistive technologies. The resulting evidence supports engineering decisions aimed at making devices more responsive to the movement patterns and control challenges experienced by affected users.