Musicians Non Musicians
Musicians Non Musicians - Related Videos
09:17
Measuring Grey Matter Differences with Voxel-based Morphometry: The Musical Brain
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California Experience shapes the brain. It is well understood that our brains are different as a result of learning. While many experience-related changes manifest themselves at the microscopic level, for example by neurochemical adjustments in the behavior of individual neurons, we may also examine anatomical changes to the structure of the brain at a macroscopic level. One famous example of this kind of change...
09:32
Standing Waves
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2023
Source: Arianna Brown, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA Standing waves, or stationary waves, are waves that appear not to propagate and are produced by the interference of two waves traveling in opposite directions with the same frequency and amplitude. These waves appear to vibrate up and down with no linear movement and are most easily identified in vibrating finite media like a plucked guitar string,...
09:38
Dissecting Mechanoenzymatic Properties of Processive Myosins with Ultrafast Force-Clamp Spectroscopy
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Cited by 1 •
2021
Presented here is a comprehensive protocol to perform ultrafast force-clamp experiments on processive myosin-5 motors, which could be easily extended to the study of other classes of processive motors. The protocol details all the necessary steps, from the setup of the experimental apparatus to sample preparation, data acquisition and analysis.
11:34
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Cited by 7 •
2017
This method aims at locating vertical subsurface defects. Here, we couple a laser with a spatial light modulator and trigger its video input to heat a sample surface deterministically with two anti-phased modulated lines while acquiring highly resolved thermal images. The defect position is retrieved from evaluating thermal wave interference minima.
04:52
Repetitive Blood Sampling from the Subclavian Vein of Conscious Rat
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Cited by 2 •
2022
The present protocol describes a simple and efficient method for collecting blood from the subclavian vein in rats. It enables rapid, timely, and easily identifiable sampling without anesthesia and obtains high-quality blood through repetitive sample collection.
FAQs
Sustained musical practice can provide the experience through which researchers examine experience-dependent neuroplasticity, meaning changes in brain function associated with repeated learning. Because practice coordinates auditory discrimination, motor control, attention, and memory, group differences may reflect adaptations across interacting systems rather than a single musical skill. This comparison helps test whether training relates to broader changes in cognition and perception.
Auditory processing, executive function, attention, memory, perception, and motor control are especially relevant comparison areas. They engage abilities that musical practice repeatedly coordinates, allowing researchers to ask whether expertise is linked to changes beyond music-specific performance. Examining several functions together also helps distinguish a broad cognitive pattern from an isolated difference in auditory or motor behavior.
People who choose musical training may differ from the outset in traits related to cognition, perception, behavior, or motivation. Consequently, an observed group difference cannot automatically be attributed to practice. Researchers must consider self-selection alongside training history so that apparent expertise effects are not mistaken for pre-existing characteristics, strengthening interpretations about experience-dependent change.
A basic design compares trained and untrained groups while matching them on relevant characteristics and including appropriate controls. Researchers then assess outcomes in domains such as auditory processing, cognition, perception, or brain function. This structure does not by itself prove causation, but it reduces alternative explanations and makes the relationship between musical experience and observed differences easier to evaluate.
These comparisons can reveal whether musical experience is associated with differences in auditory discrimination, attention, memory, executive function, perception, behavior, or brain function. Interpreting the full pattern matters: findings may indicate music-related expertise, broader cognitive processes, or pre-existing traits. Such outcomes help researchers refine explanations of learning and experience-dependent neuroplasticity.
The comparison offers a framework for examining how sustained experience relates to cognition, brain function, and behavior across research questions involving learning and aging. It can help investigators evaluate whether musical training is associated with differences in auditory processing or executive function, while matched groups and controls remain necessary for separating training-related effects from self-selection.