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Teens with depression show unique eye movement patterns linked to memory and attention problems

A new study published in Psychiatry Research: Neuroimaging has found that adolescents with major depressive disorder display unusual eye movement patterns, which are linked to cognitive problems such as memory and attention deficits. The researchers used eye-tracking technology to compare the visual behavior of adolescents with and without depression during different visual tasks. They found that certain eye movement characteristics were significantly different in adolescents with depression and were associated with poorer performance on cognitive tests.

Major depressive disorder often begins during adolescence, a period of intense emotional, social, and cognitive development. Depression in teenagers is not only becoming more common but also tends to recur and interfere with many areas of life, including school, family relationships, and social functioning. In many cases, even when mood symptoms improve with treatment, cognitive difficulties—like trouble with memory, attention, and understanding social cues—can persist. These problems can make it hard for adolescents to return to normal daily activities and may contribute to poor treatment outcomes and higher relapse rates.

In recent years, researchers have become interested in using eye-tracking technology as a non-invasive way to study how the brain processes information. Eye movements, including how often people look at certain parts of an image or how well they can follow a moving object, are known to reflect underlying cognitive processes. For example, smooth and coordinated eye movements require good attention control, while frequent or erratic eye movements might indicate difficulty with focus or information processing. Since brain areas involved in eye control also play a role in cognitive functioning, the researchers wanted to explore whether eye movement patterns could serve as indicators of cognitive problems in depressed adolescents.

Thinking in sync: How brain rhythms support intelligence

When the brain is under pressure, certain neural signals begin to move in sync—much like a well-rehearsed orchestra. A new study from Johannes Gutenberg University Mainz (JGU) is the first to show how flexibly this neural synchrony adjusts to different situations and that this dynamic coordination is closely linked to cognitive abilities.

“Specific signals in the midfrontal brain region are better synchronized in people with higher cognitive ability—especially during demanding phases of reasoning,” explained Professor Anna-Lena Schubert from JGU’s Institute of Psychology, lead author of the study published in the Journal of Experimental Psychology: General.

The researchers focused on the midfrontal area of the brain and the measurable coordination of the so-called theta waves. These brainwaves oscillate between four and eight hertz and belong to the group of slower neural frequencies.

Advancing neuroscience research with high-speed, automated electrophysiology

Understanding the electrical activity of neurons is key to unlocking insights into neurological diseases. Yale researchers have unveiled a high-throughput automated method that captures the electrical activity of large numbers of neurons simultaneously and without bias.

This cutting-edge approach provides a powerful “functional fingerprint” of neuron populations in their natural state, opening new doors to understanding and treating neurological diseases. The work was published June 13 in Nature Protocols.

The patch-clamp technique has long been a gold standard for studying the electrical activity of neurons, the fundamental units of the nervous system. However, the manual execution of this approach is slow and labor-intensive. Recent advances in robotic patch-clamp technologies have improved speed and efficiency, but they are limited to artificially grown neurons rather than neurons in their native unmanipulated state.

Stress genes clear dead cells, offering new disease insights

A new study from The University of Texas at Arlington details a novel strategy for how the body clears out dead cells during stress, revealing unexpected roles for well-known stress-response genes—a discovery that could help scientists better understand diseases affecting the immune system, brain and metabolism.

“The body is constantly creating new cells and removing old cells once they die,” said Aladin Elkhalil, lead author of the study and a third-year doctoral student in the lab of Piya Ghose, assistant professor of biology at UT Arlington. “This removal of is just as important as creating new ones, because if the body is unable to rid itself of dead cells, it can lead to various health problems”

Published in PLOS Genetics, the study was conducted on the roundworm C. elegans by Dr. Ghose, Elkhalil and Alec Whited, another graduate student in the Ghose lab. This tiny, transparent organism is a widely used tool in because its see-through body allows scientists to observe live cell behavior, including how cells die. The research team took advantage of these unique features in several innovative ways.

Neighborly help in the brain: Cerebral cortex networks rapidly reorganize to compensate for lost neurons

How the brain largely maintains its function when neurons are lost—this is what researchers at the University Medical Center Mainz, the Frankfurt Institute for Advanced Studies (FIAS) and Hebrew University (Jerusalem) have deciphered. They show that neuronal networks in the cerebral cortex reorganize within a short period of time, with other nerve cells taking over the tasks of the lost neurons.

These findings could form the basis for future research into natural aging processes and neurodegenerative diseases such as Alzheimer’s or Parkinson’s. The study is published in the journal Nature Neuroscience.

Nerve cells (neurons) are the most important building blocks of the brain. They form the basis for all mental and physical functions such as thinking, feeling, movement, and perception. In the course of life, in the brain can be lost for various reasons: They die off due to age-related processes, are damaged by toxins such as alcohol, or neurodegenerative diseases such as Alzheimer’s and Parkinson’s lead to a more rapid progressive loss of neurons.

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