Newswise, September 23, 2015 — Like scratchy-sounding old
radio dials that interfere with reception, circuits in the brain that grow
noisier over time may be responsible for ways in which we slow mentally as we
grow old, according to the results of new studies from UC San Francisco on
young and older adults.
The new intracranial and electroencephalogram (EEG) research,
published online September 22, 2015, in The Journal of Neuroscience,
supports the neural noise hypothesis, which proposes that the signal-to-noise
ratio in nerve circuits diminishes with aging and leads to worse performance.
The studies were designed and conducted by Brad Voytek, PhD,
when he was a postdoctoral research fellow working in the lab of Adam Gazzaley,
MD, PhD, professor of neurology, physiology and psychiatry at UCSF.
In two new experiments, Voytek, now an assistant professor of
cognitive science and neuroscience at UC San Diego, found that background noise
in key cortical regions of the brain responsible for higher functions was
associated with poorer memorization of visual information, and that this noise
also was associated with age.
He concluded that neural noise might be the mechanism behind
aging-associated loss of cognitive ability, slowing of behavioral responses,
uncertain memories and wavering concentration.
“Our measurement of noise seems to show up in aging, just as
we thought it would,” Voytek said.
The noise measured in the studies was random signaling that
did not fit the pattern of the brain’s natural oscillations. These oscillations
are rhythmic patterns of electrical activity generated by nerve cells, or
neurons, linked within the brain’s circuitry.
This activity occurs in addition to electrical signals
generated by individual neurons.
In recent years brain oscillations have become an intense
focus of research by Voytek and others seeking to discover any functional roles
they might play. Emerging evidence suggests that oscillations might prime nerve
circuits to respond more efficiently to stimuli.
“Imagine that individual neurons are like surfers,” Voytek
said. “Nearby surfers experience the same waves, which are like the
oscillations linking neurons in the brain. But like noise, additional interfering
factors often disrupt the perfect wave at different times and different spots
along the beach.”
In one experiment on 15 consenting subjects, Voytek collected
and analyzed voltage measurements from electrodes placed directly in contact
with cortical regions of the brain during surgery by neurosurgeons searching
for the specific location that triggered each patient’s seizures.
The intracranial study design eliminated detection of
confounding signals from muscle. The alert study subjects performed a listening
task, which in one of Voytek’s earlier human studies resulted in a high degree
of coordinated brain oscillations in these regions.
In the new experiment Voytek’s research team found that noise
in the frontal cortex and in the temporal cortex was associated with age.
In the second experiment, the researchers collected data from
EEG electrodes placed on the scalps of 11 healthy participants between the ages
of 20 and 30 and 13 healthy participants between the ages of 60 and 70, while
the research subjects performed a visual memorization test.
Researchers flashed one, two or three colored squares for less
than one-fifth of a second, gave the subjects almost one second to memorize the
colors, and then flashed a second display and asked the participants if the
colors matched.
The researchers used mathematical algorithms to extract
measures of noise in the oscillations from data collected during the interval
when the subjects were trying to memorize the colors.
On average, older subjects performed worse than younger subjects. The scientists determined that this poorer performance was due to additional noise in nerve circuits in the visual cortex; neurons did not appear to coordinate as well in generating lower-frequency oscillations.
When the researchers accounted for the noise, age was no
longer an independent, significant factor in performance in this experiment.
Voytek suggested an analogy.
“A big group of friends can have a fairly normal conversation
at home,” he said, “but in a crowded bar everyone keeps asking each other,
‘What did you say?’ Similarly, instead of having a normal conversation, the
neurons that make up the memory networks in older adults seemed to be talking
over one another, leading to a communication breakdown and degrading their
memory performance.
“I think these types of experiments will allow neuroscientists
to explore the neural underpinnings of cognitive changes across normal aging
and in a variety of disease states, including autism, Parkinson’s and
schizophrenia, each of which is associated with breakdowns in neural
oscillations.”
The study was funded by the National Institutes of Health and
by a University of California Presidential Postdoctoral Fellowship.
Additional authors include research specialists John Case and
Zachari Tempesta from UCSF; Mark Kramer, PhD, assistant professor of
mathematics, and Kyle Lepage, PhD, postdoctoral fellow, from Boston University;
and Robert Knight, MD, professor of psychology, from UC Berkeley.
UC San Francisco (UCSF) is a leading university dedicated to
promoting health worldwide through advanced biomedical research, graduate-level
education in the life sciences and health professions, and excellence in
patient care.
It includes top-ranked graduate schools of dentistry,
medicine, nursing and pharmacy, a graduate division with nationally renowned
programs in basic, biomedical, translational and population sciences, as well
as a preeminent biomedical research enterprise and two top-ranked hospitals,
UCSF Medical Center and UCSF Benioff Children’s Hospital San Francisco. Please
visitwww.ucsf.edu.
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