Summary: Scientists have found a way to detect depression using brain scans. Major depressive disorder (MDD) is a mental illness that affects many people in different ways. It is common and can impact more than 8% of Americans. Scientists have started to make progress in understanding the brain processes involved in different types of depression. This could help in creating improved treatments, but there is still a lot more to learn. A recent study found different types of MDD using brain pictures.
Research and Discoveries
John Krystal, who is a doctor and the editor of the journal Biological Psychiatry. Stated that we have known for a while that mental disorders. They are major depressive disorder, are really diverse. This research studied a large group of depressed patients and found some clues that can help categorize depression based on brain scans called functional magnetic resonance imaging (fMRI). These scans measure how well different parts of the brain work together, which is also known as functional connectivity.
The scientists used a type of brain scan called resting-state fMRI on a large group of people. This group included more than 1,000 patients with Major Depressive Disorder (MDD) and over 1,000 healthy individuals who were used for comparison. The study used a model called the normative model, which is similar to the growth charts that pediatricians use. It uses information from a large group of people to measure how each individual is different from the average. The researchers looked at how different parts of the brain are connected and compared the differences in brain activity. This was performed between people with a depressive disorder and the expected normal brain activity for their age.
Brain patterns in people with depression
The author, Mingrui Xia, from Beijing Normal University, said that using this method helped them find two different types of brain patterns in people with depression. The scientists these patterns were consistent across different tests and had different levels of depression symptoms. They were also helpful in predicting how people would respond to treatment over time.
Some patients showed strong positive changes in certain parts of their brain related to thinking and emotions, as well as negative changes in areas related to movement and focus. The second group of patients had a less severe and different pattern of abnormalities, showing that depression can vary in the way it affects the brain. The writers think that the changed activity might be connected to the habit of overthinking in individuals with MDD.
The research is very interesting because it helps us find biomarkers, which are signs in our body that can help diagnose, treat, and predict depression. Currently, depression is diagnosed by asking patients about their symptoms. Biomarkers can potentially help make treatment for MDD better in these different ways.
Rewrite this text in simple words: Dr. It means “doc” which is a shorter way to say “doctor”. Xia said that these findings help us understand the different ways the brain is affected in people with depression, which explains why depression can vary a lot from person to person. This research has very important results that give us useful information about how to develop biomarkers using imaging techniques. These biomarkers can help doctors in the future make better diagnoses and treatments that are specific to each patient’s individual brain function.
Dr. is a title given to someone who has completed a higher level of education and training in a specific field, such as medicine or psychology. Xia said that if we understood different types of brains, we could change how we treat mental health. This means doctors could give treatments based on a person’s specific brain connections. This method creates new opportunities for personalized medicine and has the potential to make treatments for depression better.
Depressed Individuals Maintain Focus on Negatives Even After Recovery, Study Finds
Summary: Depressed Individuals Maintain Focus on Negatives Even After Recovery, a study finds. In contrast to people who have never suffered a major depressive episode, people who have recovered from one typically spend more time processing negative information and less time processing positive information, which increases the likelihood of a recurrence.
Source: American Psychological Association
Lead author Alainna Wen, PhD, a postdoctoral scholar at the Anxiety and Depression Research Center at the University of California, Los Angeles, said, “Our research indicates that individuals with a previous history of depression dedicate a significant amount of time to analyzing negative stimuli, such as expressions of sadness, in comparison to positive stimuli like displays of happiness. This contrast is more pronounced when compared to emotionally healthy individuals with no such history. This divergence in processing suggests a heightened susceptibility to potential future depressive episodes. This susceptibility arises from the inherent nature of depression, which involves an abundance of negative thoughts and emotions, coupled with a scarcity of positive ones.”
The Journal of Psychopathology and Clinical Science published the research.
One of the most prevalent mental illnesses in the US is major depression. The National Institute of Mental Health estimates that 21 million American people (8.4% of the country’s population) reported having had serious depression at least once in 2020. Major depression can hinder or limit a person’s capacity to do important life tasks. It is characterized by a minimum of two weeks of a gloomy mood or a lack of interest in or enjoyment from daily activities.
Wen reports that relapse rates for major depressive disorder are still high despite the availability of effective therapies for the condition. After their first major depressive episode, over 50% of people will go on to have several episodes, and they frequently relapse within two years of getting better. To enhance treatment and prevent recurrence, researchers need to gain a deeper understanding of the risk factors associated with major depressive illness.
Research on Depressed Individuals
Researchers performed a meta-analysis of 44 trials, comprising 2285 healthy controls and 2081 patients with a history of severe depressed disorder, for this publication. Every study looked at how quickly people responded to neutral, positive, or negative stimuli. In several instances, participants were requested to press a separate button to represent a happy, sad, or neutral human face. In other cases, participants responded to favorable, unfavorable, or neutral words.
Regardless of whether the stimuli were pleasant, neutral, or negative, healthy participants reacted to both emotional and non-emotional stimuli faster than those with a history of depression. However, compared to controls, individuals who had previously experienced major depressive disorder took longer to process unpleasant emotional cues. When compared to individuals in major depression remission, healthy controls showed a significant difference in the amount of time they spent processing positive versus negative emotional stimuli; however, this difference did not show up when comparing the amount of time spent processing positive versus neutral or negative versus neutral stimuli.
According to Wen, the results generally imply that people with recurrent major depressive disorder not only exhibit a stronger bias for focusing on negative information over positive or neutral information, but they also appear to be less able to manage the information they absorb than people in good health.
“The results of this study have implications for depressed people’s treatment,” Wen stated. Merely centering on diminishing the analysis of negative data might not be adequate to avert a relapse of depression. Alternatively, approaches that enhance the processing of positive information could prove advantageous for patients.”
Source: American Psychological Association
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Obesity and Cognitive Function: How Liraglutide’s Impact Offers Hope
Summary: Obesity affects how the body uses energy and decreases the sensitivity of cells to insulin. The term “anti-obesity drugs” is gaining increasing usage for the treatment of obesity, attracting significant attention, particularly in the USA. Researchers have recently established that decreased insulin sensitivity in obese individuals has an impact on the learning of sensory associations. Just one dose of the anti-obesity medication liraglutide might normalize these alterations and restore the underlying brain circuit function.
Source: Max Planck Institute for Biology of Aging
Liraglutide improves cognitive function in people suffering obesity
The brain needs to be able to create associations in order to govern our conduct. This entails, for instance, linking a neutral external stimulus with a result occurring after the stimulus (for instance, the hotplate flashes red—you could burn your hand). The brain gains knowledge of the implications of how we respond to the initial stimulus in this way. The foundation for creating brain connections and the source of the motivational power in stimuli is associative learning. The dopaminergic midbrain, a part of the brain, is largely in charge of controlling it. Since this area includes a large number of receptors for the body’s signalling molecules, including insulin, it can modify our behaviour to meet physiological requirements.
But what occurs when obesity reduces the body’s sensitivity to insulin? Does this alter our brain activity, capacity for association learning, and hence, behaviour? Now, scientists at the Max Planck Institute for Metabolism Research have examined how well the learning of associations functions in individuals with normal body weight (high insulin sensitivity, 30 volunteers) and in individuals with obesity (reduced insulin sensitivity, 24 volunteers), as well as whether the anti-obesity medication liraglutide affects this learning process.
The brain’s capacity to link sensory stimuli is diminished by low insulin sensitivity in people suffering from obesity.
During the study, participants were administered either an evening trial injection of the medication liraglutide or a placebo. A substance known as a GLP-1 agonist, liraglutide activates the GLP-1 receptor in the body, increasing insulin levels and causing satiety. Administered once a day and often utilized to treat type 2 diabetes and obesity, it was followed by a learning exercise the next morning for participants. This exercise enabled researchers to assess the efficacy of associative learning. The study revealed that the ability to link sensory stimuli was less pronounced in obese individuals compared to participants with normal weight. Furthermore, brain activity in the regions encoding this learning behavior experienced a decrease.
Participants with obesity no longer displayed these abnormalities after just one dosage of liraglutide, and there was no distinction in brain activity between participants with normal weight and obesity. In other words, the medication brought brain activity back to that of people who were of a normal weight.
“These discoveries are critically important. Here, we demonstrate how basic behaviours like associative learning are influenced by both internal metabolic state and exterior environmental factors. Therefore, whether a person is overweight or not also affects how their brain develops associations between sensory input and motivation. According to studies showing that these medications restore a normal feeling of satiety, causing people to eat less and consequently lose weight, the normalisation we achieved with the drug in obese subjects fits with this finding, says study leader Marc Tittgemeyer from the Max Planck Institute for Metabolism Research.
Although it’s positive that current medications demonstrate beneficial effects on the brain activity of people with obesity, it’s worrisome that alterations in brain function can emerge even among younger individuals with obesity who do not have any other underlying medical issues. Future healthcare reforms should place considerably more emphasis on preventing obesity. According to Ruth Hanßen, MD, first author of the study and a physician at the University Hospital of Cologne, lifelong medication is the less desirable alternative in comparison to primary prevention of obesity and associated consequences.
Source: Max Planck Institute for Biology of Aging
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Chronic Stress Reveals Distinct Responses in Brain Cells of Males and Females
Summary: Chronic Stress Reveals Distinct Responses in Brain Cells of Males and Females. Researchers have shown that a subgroup of brain cells reacts to stress in males and females very differently. The results may help us understand the relationship between chronic stress and diseases including anxiety, depression, obesity, and diabetes and open the door to more specialized treatments for these ailments.
Source: Weizmann Institute of Science
Chronic stress results in an ongoing rise in mental and physical problems
Chronic stress results in an ongoing rise in mental and physical problems, which has a huge negative impact on society. Although not always in the same way, they have an impact on both men and women. Men and women handle stress in different ways, according to a wealth of information, but the reasons why these disparities exist are still unknown. In any case, there are no personalized treatments available for men or women. But Chen’s laboratory, which focuses on researching how the body reacts to stress, made the claim that cutting-edge research techniques might help alter the situation.
However, researchers obtained those results using research techniques that could mask significant variations in the reactions of specific cells or even entirely eliminate the functions carried out by relatively uncommon cells. Earlier investigations in other labs had discovered some sex differences in the response to stress. In contrast, Chen’s group employs cutting-edge techniques that enable researchers to examine brain activity at a previously unheard-of granularity—on the level of the individual cell—and may, as a result, throw new light on the disparities between the sexes.
The study’s principal investigator, According to Dr. Elena Brivio
The study’s principal investigator, According to Dr. Elena Brivio, “We focused on the area of the brain that serves as a main hub of the stress response in mammals, the paraventricular nucleus (PVN) of the hypothalamus, using the most sensitive research lens imaginable. We were able to map the stress response in male and female mice along three main axes by sequencing the RNA molecules in that part of the brain at the cellular level: how each type of brain cell in that region reacts to stress, how each type of cell previously exposed to chronic stress reacts to a fresh stress encounter, and how these responses vary between males and females.
The researchers mapped out gene expression for more than 35,000 individual cells, generating an extensive dataset that portrays an unparalleled picture of the stress response and underscores the differences in how males and females experience and react to stress.The researchers decided to publish the entire detailed mapping as part of the study and in accordance with open-access scientific principles. The website went live simultaneously with the publication of the study, providing other researchers with straightforward and convenient access to the data. In line with Brivio’s comments, the platform will enable researchers concentrating on a particular gene to observe how the gene’s activity alters in reaction to stress within a particular cell category, encompassing both males and females.
The thorough mapping has already enabled the researchers of Chronic Stress
The thorough mapping has already enabled the researchers to pinpoint numerous variations in gene expression, including those between males and females and between acute and chronic stress. The findings revealed, among other things, that different brain cells react to stress in males and females in various ways: Some cells are more sensitive to stress in males and some to stress in females. Researchers discovered that the oligodendrocyte, a type of glial cell crucial for supporting nerve cells and controlling brain activity, exhibited the most significant change within the brain area.
Dr. Juan Pablo Lopez emphasized that while neurons have taken the central spotlight in scientific research, they make up just approximately a third of the total population of brain cells. A former postdoctoral fellow in Chen’s group, he currently leads a research team at the Department of Neuroscience at the Karolinska Institute in Sweden. He emphasized that the method they employed enables them to achieve a more comprehensive and detailed understanding, encompassing every cell type and their interconnections within the specific brain region being examined.
Simple diversity by Chronic Stress
Clinical trials for new medications were only carried out on men up until the 1980s. The general consensus was that incorporating women in the study was superfluous and would merely complicate it by adding new variables like menstruation and hormonal shifts. Previously, researchers discouraged the utilization of female animals in preclinical experiments for similar reasons. Researchers formerly discouraged the use of female animals in preclinical experiments for the same reasons. There is no reason to believe that females would complicate the trials more than males, as it is now understood that male animals usually display greater molecular and behavioral variability than females.
Nevertheless, it’s a common practice in basic science to only use male subjects for tests. Our findings emphasize the significance of considering the gender aspect when it comes to stress-related health conditions, ranging from depression to diabetes. This is vital as it markedly influences the responses of diverse brain cells to stress,” remarks Chen. In the realm of neuroscience and behavioral science, Brivio further explains, “Even when a study doesn’t explicitly focus on gender distinctions, involving female subjects in the investigation remains crucial.” Equally crucial is the implementation of the most nuanced research methods, aiming to capture the most comprehensive portrayal of brain activity possible.
The research team was composed of Dr. Aron Kos, Stoyo Karamihalev, Andrea Ressle, Rainer Stoffel, and Dr. Mathias V. Schmidt, all affiliated with the Max Planck Institute of Psychiatry in Munich. Furthermore, the study involved Dr. Alessandro Francesco Ulivi from the Leibniz Institute for Neurobiology in Magdeburg, Germany, Dana Hirsch from Weizmann’s Veterinary Resources Department, and Dr. Gil Stelzer from Weizmann’s Life Sciences Core Facilities Department.
Source: Weizmann Institute of Science
Image Source: Canva