Using Virtual Reality to Identify Brain Areas Involved in Memory

Virtual reality is helping neuroscientists at the University of California, Davis, get new insight into how different brain areas assemble memories in context. In a study published Jan. 18 in the journal Nature Communications, graduate student Halle Dimsdale-Zucker and colleagues used a virtual reality environment to train subjects, then showed that different areas of the hippocampus are activated for different types of memories.

It's well known that one memory can trigger related memories. We remember specific events with context - when and where it happened, who was there. Different memories can have specific context, as well as information that is the same between memories - for example, events that occurred in the same location.

Dimsdale-Zucker and Professor Charan Ranganath at the UC Davis Center for Neuroscience and Department of Psychology are interested in how the brain assembles all the pieces of these memories. They use functional magnetic resonance imaging, or fMRI, to look for brain areas that are activated as memories are recalled, especially in the hippocampus, a small structure in the center of the brain.

For this study, Dimsdale-Zucker used architectural sketching software to build houses in a 3-D virtual environment. The subjects watched a series of videos in which they went into one house then another. In each video, different objects were positioned within the houses. The subjects therefore memorized the objects in two contexts: which video (episodic memory) and which house (spatial memory).

In the second phase of the study, the subjects were asked to try to remember the objects while they were scanned by fMRI.

Being asked about the objects spontaneously reactivated contextual information, Dimsdale-Zucker said. Different regions of the hippocampus were activated for different kinds of information: One area, CA1, was associated with representing shared information about contexts (e.g., objects that were in the same video); another, distinct area was linked to representing differences in context.

"What's exciting is that it is intuitive that you can remember a unique experience, but the hippocampus is also involved in linking similar experiences," Dimsdale-Zucker said. "You need both to be able to remember."

Another interesting finding was that in this study, the hippocampus was involved in episodic memories linking both time and space, she said. Conventional thinking has been that the hippocampus codes primarily for spatial memories, for example those involved in navigation.

Virtual reality makes it possible to carry out controlled laboratory experiments with episodic memory, Dimsdale-Zucker said. A better understanding of how memories are formed, stored and recalled could eventually lead to better diagnosis and treatment for memory problems in aging or degenerative disorders such as Alzheimer's disease.

Halle R Dimsdale-Zucker, Maureen Ritchey, Arne D Ekstrom, Andrew P Yonelinas, Charan Ranganath.
CA1 and CA3 differentially support spontaneous retrieval of episodic contexts within human hippocampal subfields.
Nature Communications 9, Article number: 294 (2018). doi: 10.1038/s41467-017-02752-1.

Most Popular Now

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...