Let’s say you typically eat eggs for breakfast but were running late and ate cereal. As you crunched on a spoonful of Raisin Bran, other contextual similarities remained: You ate at the same table, at the same time, preparing to go to the same job. When someone asks later what you had for breakfast, you incorrectly remember eating eggs.
This would be a real-world example of a false memory. But what happens in your brain before recalling eggs, compared to what would happen if you correctly recalled cereal?
In a paper published in Proceedings of the National Academy of Sciences, University of Pennsylvania neuroscientists show for the first time that electrical signals in the human hippocampus differ immediately before recollection of true and false memories. They also found that low-frequency activity in the hippocampus decreases as a function of contextual similarity between a falsely recalled word and the target word.
“Whereas prior studies established the role of the hippocampus in event memory, we did not know that electrical signals generated in this region would distinguish the imminent recall of true from false memories,” says psychology professor Michael Jacob Kahana, director of the Computational Memory Lab and the study’s senior author. He says this shows that the hippocampus stores information about an item with the context in which it was presented.
Researchers also found that, relative to correct recalls, the brain exhibited lower theta and high-frequency oscillations and higher alpha/beta oscillations ahead of false memories. The findings came from recording neural activity in epilepsy patients who were already undergoing invasive monitoring to pinpoint the source of their seizures.
Noa Herz, lead author and a postdoctoral fellow in Kahana’s lab at the time of the research, explains that the monitoring was done through intracranial electrodes, the methodology researchers wanted to use for this study. She says that, compared to scalp electrodes, this method “allowed us to more precisely, and directly, measure the neural signals that were generated in deep brain structures, so the activity we are getting is much more localized.”
Michael Kahana is the Edmund J. and Louise W. Kahn Term Professor of Psychology in the School of Arts & Sciences and director of the Computational Memory Lab at the University of Pennsylvania. He is a member of the Penn Bioengineering Graduate Group.
Traumatic brain injury (TBI) has disabled 1 to 2% of the population, and one of their most common disabilities is problems with short-term memory. Electrical stimulation has emerged as a viable tool to improve brain function in people with other neurological disorders.
Now, a new study in the journal Brain Stimulation shows that targeted electrical stimulation in patients with traumatic brain injury led to an average 19% boost in recalling words.
Led by University of Pennsylvania psychology professor Michael Jacob Kahana, a team of neuroscientists studied TBI patients with implanted electrodes, analyzed neural data as patients studied words, and used a machine learning algorithm to predict momentary memory lapses. Other lead authors included Wesleyan University psychology professor Youssef Ezzyat and Penn research scientist Paul Wanda.
“The last decade has seen tremendous advances in the use of brain stimulation as a therapy for several neurological and psychiatric disorders including epilepsy, Parkinson’s disease, and depression,” Kahana says. “Memory loss, however, represents a huge burden on society. We lack effective therapies for the 27 million Americans suffering.”
Michael Kahana is the Edmund J. and Louise W. Kahn Term Professor of Psychology at the University of Pennsylvania. He is a member of the Penn Bioengineering Graduate Group.
University of Washington Researchers Engineer a New Way to Study Circulatory Obstruction
Capillaries are one of the most important forms of vasculature in our body, as they allow our blood to transfer nutrients to other parts of our body. But for how much effect capillary functionality can have on our health, their small size makes them extremely difficult to engineer into models for a variety of diseases. Now, researchers at the University of Washington led by Ying Zheng, Ph. D., engineered a three-dimensional microvessel model with living cells to study the mechanisms of microcirculatory obstruction involved with malaria.
Rather than just achieving a physical model of capillaries, these researchers created a model that allowed them to study typical flow and motion through capillaries, before comparing it to deficiencies in this behavior involved with diseases like malaria. The shape of the engineered model is similar to that of an hourglass, allowing the researchers to study instances where red blood cell transit may encounter bottlenecks between the capillaries and other vessels. Using multiphoton technology, Zheng and her team created 100mm capillary models with etched-in channels and a collagen base, to closely model the typical size and rigidity of the vessels. Tested with malaria-infected blood cells, the model showed similar circulatory obstructive behavior to that which occurs in patients, giving hope that this model can be transferred to other diseases involving such obstruction, like sickle cell anemia, diabetes, and cardiovascular conditions.
Understanding a Cell Membrane Protein Could Be the Key to New Cancer Treatments
Almost every cell in the body has integrins, a form of proteins, on its membrane, allowing cells to sense biological information from beyond their membranes while also using this feedback information to initiate signals within cells themselves. Bioengineers at the Imperial College of London recently looked at the way another membrane protein, called syndecan-4, interacts with integrins as a potential form of future cancer treatment. Referred to as “cellular hands” by lead researcher of the study Armando del Rio Hernandez, Ph.D., syndecan-4 sometimes controls the development of diseases or conditions like cancer and fibrosis. Hernandez and his team specifically studied the ties of syndecan-4 to yes-associated protein (YAP) and enzyme called P13K, both of which are affiliated with qualities of cancer progression like halted apoptosis or cell stiffening. Knowing this, Hernandez and his team hope to continue research into understanding the mechanisms of syndecan-4 throughout the cell, in search of new mechanisms and targets to focus on with future developments of cancer treatments.
A New Medical Device Could Improve Nerve Functionality After Severe Damage
Serious nerve damage remains difficult to repair surgically, often involving the stretching of nerves for localized damage, or the transfer of healthy nerve cells from another part of the body to fill larger gaps in nerve damage. But these imperfect solutions limit the return of full nerve function and movement to the damaged part of the body, and in more serious cases with large areas of nerve damage, can also risk damage in other areas of the body that healthy nerves are borrowed from for treatment. A new study from the University of Pittsburgh published in Science Translational Medicine led by Kacey Marra, Ph. D., has successfully repaired nerve damage in mice and monkeys using a biodegradable tube that releases growth factors called glial-cell-derived neurotrophic factors over time.
Marra and her team showed that this new device restored nerve function up to 80% in nonhuman primates, where current methods of nerve replacement often only achieve 50-60% functionality restoration. The device might have an easier time getting FDA-approval, since it doesn’t involve the use of stem cells in its repair mechanisms. Hoping to start human clinical trials in 2021, Marra and her team hope that the device will help both injured veterans and typical patients with nerve damage, and see potential future applications in facial nerve damage as well.
A New Computational Model Could Improve Treatments for Cancer, HIV, and Autoimmune Diseases
With cancer, HIV, and other autoimmune diseases, the best treatment options for patients are often determined with trial-and-error methods, leading to prolonged instances of ineffective approaches and sometimes unnecessary side effects. A group of researchers led by Wesley Errington, Ph.D., at the University of Minnesota decided to take a computational approach this problem, in an effort to more quickly and efficiently determine the most appropriate treatment for a given patient. Based on parameters controlling interactions between molecules with multiple binding sites, the team’s new model looks primarily at binding strength, linkage rigidity, and size of linkage arrays. Because diseases can often involve issues in molecular binding, the model aimed to model the 78 unique binding configurations for cases of when interacting molecules only have three binding sites, which are often difficult to observe experimentally. This new approach will allow for faster and easier determination of treatments for patients with diseases involving these molecular interactions.
Improved Drug Screening for Glioblastoma Patients
A new microfluidic brain chip from researchers at the University of Houston could help improve treatment evaluations for brain tumors. Glioblastoma patients, who have a five-year survival rate of a little over 5%, are some of the most common patients suffering from malignant brain tumors. This new chip, developed by the lab of Yasemin Akay, Ph.D., can quickly determine cancer drug effectiveness by analyzing a piece of cultured tumor biopsy from a patient by incorporating different chemotherapy treatments through the microfluidic vessels. Overall, Akay and her team found that this new chip holds hope as a future efficient and inexpensive form of drug screening for glioblastoma patients.
People and Places
The brain constructs maps to guide people, not just of physical spaces but also to connect stimuli around them, like conversations and other people. It’s long been known that the brain area responsible for this spatial navigation—the medial temporal lobe—is also involved in recalling memories.
Michael Kahana (left) is principal investigator in the Defense Advanced Research Projects Agency’s RAM program and a professor in the Department of Psychology. Ethan Solomon is an M.D./Ph.D. student in the Department of Bioengineering of the School of Engineering and Applied Science and in the Perelman School of Medicine.
Now, neuroscientists at the University of Pennsylvania have discovered that the signals the brain produces during spatial navigation and episodic memory recall look similar. Low-frequency brain waves called the theta rhythm appear as people jump from one memory to the next, as many prior studies looking only at human navigation have shown. The new findings, which suggest that the brain structures responsible for helping people navigate the world may also “navigate” a mental map of prior experiences, appear in the Proceedings of the National Academy of Sciences.
The Florida Institute of Technology recently announced plans to start construction in spring 2020 on a new Health Sciences Research Center, set to further establish biomedical engineering and pre-medical coursework and research at the institute. With plans to open the new center in 2022, Florida Tech anticipates increased enrollment in the two programs, and hopes that the center will offer more opportunities in a growing professional field.
Anson Ong, Ph.D., the Associate Dean of Administration and Graduate Programs at the University of Texas at San Antonio, was recently elected to the International College of Fellows of Biomaterials Science and Engineering. With a focus on research in biomaterial implants for orthopaedic applications, Ong’s election to the college honors his advancement and contribution to the field of biomaterials research.
Capillaries are one of the most important forms of vasculature in our body, as they allow our blood to transfer nutrients to other parts of our body. But for how much effect capillary functionality can have on our health, their small size makes them extremely difficult to engineer into models for a variety of diseases. Now, researchers at the University of Washington led by 