Circuits in the brain grow noisier over time, a series of new experiments demonstrated, and this contributes to slower processing speeds in aging brains.
“Insights into the biological basis of age-related cognitive decline provides new possibilities for improving the quality of life,” wrote first author Dr. Bradley Voytek, an assistant professor of cognitive science and neuroscience at UC San Diego, and his colleagues.
The hypothesis is very simple: It proposes the signal-to-noise ratio in the brain's circuitry grows smaller over time and this leads to worse performance. Just as a friend's voice in a room containing 20 talking people is more difficult to distinguish than in a room containing only four people, older brains have more noise, which makes it difficult to pick out the friendly signal. Voytek and his colleagues explored this neuronal noise theory to see if it held water.
In one experiment, Voytek collected and analyzed voltage measurements from electrodes directly placed on regions of the brain during surgery. The 15 people involved in this study were epileptic patients and their neurosurgeons were searching for the specific brain region triggering their seizures. During parts of the surgery, patients remained conscious and alert and so were able to perform a simple listening task.
Because the experiment was intracranial, all the signals came directly from within the brain. The researchers found an association between older age and noise in both the frontal cortex and the temporal cortex. From past work, the researchers knew that a high degree of coordinated brain oscillations occur in these regions and so this led to another experiment.
“Insights into the biological basis of age-related cognitive decline provides new possibilities for improving the quality of life,” wrote first author Dr. Bradley Voytek, an assistant professor of cognitive science and neuroscience at UC San Diego, and his colleagues.
White Noise?
“As we age, we are faced with the likelihood that our cognitive faculties will decline, our neural and behavioral response times will be slower and more variable, our memories less certain, and our attention less focused,” noted the authors in their introduction. (Yikes!) The neural noise hypothesis, then, is an attempt to account for these many age-related changes.The hypothesis is very simple: It proposes the signal-to-noise ratio in the brain's circuitry grows smaller over time and this leads to worse performance. Just as a friend's voice in a room containing 20 talking people is more difficult to distinguish than in a room containing only four people, older brains have more noise, which makes it difficult to pick out the friendly signal. Voytek and his colleagues explored this neuronal noise theory to see if it held water.
In one experiment, Voytek collected and analyzed voltage measurements from electrodes directly placed on regions of the brain during surgery. The 15 people involved in this study were epileptic patients and their neurosurgeons were searching for the specific brain region triggering their seizures. During parts of the surgery, patients remained conscious and alert and so were able to perform a simple listening task.
Because the experiment was intracranial, all the signals came directly from within the brain. The researchers found an association between older age and noise in both the frontal cortex and the temporal cortex. From past work, the researchers knew that a high degree of coordinated brain oscillations occur in these regions and so this led to another experiment.
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