Summary: A new study investigates how we are able to assess new locations and become orientated with the help of visual cues.
Source: University of Texas at Austin.
A new study published this week in the journal Proceedings of the National Academy of Sciences refines our understanding of a human skill — the ability to instantaneously assess a new environment and get oriented thanks to visual cues.
Whereas humans can look at a complex landscape like a mountain vista and almost immediately orient themselves to navigate its multiple regions over long distances, other mammals such as rodents orient relative to physical cues — like approaching and sniffing a wall — that build up over time.
The way humans navigate their surroundings and understand their relative position includes an environment-dependent scaling mechanism, an adaptive coordinate system with differences from other mammals, according to the study led by researchers at The University of Texas at Austin.
“Our research, based on human data, redefines the fundamental properties of the internal coordinate system,” said Zoltan Nadasdy, lead author of the study and an adjunct assistant professor in the university’s Department of Psychology. Nadasdy is also a researcher at Eötvös Loránd University and the Sarah Cannon Research Institute at St. David’s Medical Center.
“Dysfunction in this system causes memory problems and disorientation, such as we see in Alzheimer’s disease and age-related decline. So, it’s vital that we continue to further our understanding of this part of the brain,” he said.
Through a partnership with Seton Healthcare Family, the researchers in the UT Austin Human Brain Stimulation and Electrophysiology Lab were able to measure relevant brain activity of epileptic patients whose diagnostic procedure requires that they have electrodes planted in the entorhinal cortex of the brain. Neurons there serve as the internal coordinate system for humans. (The brains of individuals with epilepsy function normally when not undergoing a seizure.)
Patients performed a virtual navigation task on a tablet computer in four environments daily for seven to eight consecutive days. By measuring their brain activity, the researchers identified three previously unknown traits of the system:
Humans rescale their internal coordinate system according to the size of each new environment. This flexibility differs from rodents’ rigid map that has a constant grid scale and empowers humans to navigate diverse places.
When seeking navigational cues in any given location, humans automatically align their internal compass with the corners and shape of the space. In contrast, rodents do so relative to the walls of the environment through physical exploration.
The nature of the coordinate system differs between humans and rodents — Cartesian and hexagonal respectively.
The findings illuminate the fabric of the human memory and spatial navigation, which are vulnerable to disease and deterioration. Deeper knowledge of these neuronal mechanisms can inform the development of techniques to prolong the health of this part of the brain and combat diseases such as Alzheimer’s.
The study builds on earlier Nobel Prize-winning research exploring the entorhinal cortex of rodents. Due to the differences discovered between the human and rodent systems of navigation, the researchers emphasize that generalizing results from studies on animal subjects may provide inaccurate conjectures.
This study is one of the few on human subjects that report on the activity of individual neuron behavior, said György Buzsáki, an expert from New York University Medical Center who was not involved in the research.
“They not only confirm a previous report but extend the findings by showing that the size of the neuronal representation by entorhinal grid cells scales with the environment,” Buzsáki said.
“Our hypothesis is challenging the definition of a universal spatial scale of environment predominant in lower mammals, which may open up important avenues of discovery,” said Robert Buchanan, another lead author on the study and an associate professor at Dell Medical School. He is also an adjunct associate professor in the university’s Department of Psychology and a chief of neurosurgery at Seton Brain and Spine Institute.
“Now, we can continue to explore this key component of what it means to be human — how we think about our past and future, how we imagine and plan,” Buchanan said.
By using virtual reality, the researchers also refined a new experimental technology for facilitating spatial experiences that can’t be reproduced in a laboratory. The data implies that humans can seamlessly switch between reality and virtual reality — a finding that can be applied in other studies of the brain.
The study’s co-authors include Peter Nguyen at the Baylor College of Medicine; Ágoston Török at Eötvös Loránd University and Hungarian Academy of Sciences; Jason Shen at UT Austin’s Dell Medical School and Seton Brain and Spine Institute; Deborah Briggs at UT Austin’s Dell Medical School and Seton Brain and Spine Institute; and Pradeep Modur at UT Austin’s Dell Medical School and Seton Brain and Spine Institute.
Funding: The research was supported by the Brain and Behavior Research Foundation and the Seton Seed Grant for Research.
Source: Kim Berger – University of Texas at Austin
Image Source: NeuroscienceNews.com image is credited UT Austin Human Brain Stimulation and Electrophysiology Lab.
Original Research: Full open access research for “Context-dependent spatially periodic activity in the human entorhinal cortex” by Yu Zhang, Chengzu Long, Hui Li, John R. McAnally, Kedryn K. Baskin, John M. Shelton, Rhonda Bassel-Duby, and Eric N. Olson in PNAS. Published online April 10 2017 doi:10.1073/pnas.1701352114
[cbtabs][cbtab title=”MLA”]University of Texas at Austin “Human Cognitive Map Scales According to Surroundings.” NeuroscienceNews. NeuroscienceNews, 13 April 2017.
<https://neurosciencenews.com/cognitive-map-scaling-6403/>.[/cbtab][cbtab title=”APA”]University of Texas at Austin (2017, April 13). Human Cognitive Map Scales According to Surroundings. NeuroscienceNew. Retrieved April 13, 2017 from https://neurosciencenews.com/cognitive-map-scaling-6403/[/cbtab][cbtab title=”Chicago”]University of Texas at Austin “Human Cognitive Map Scales According to Surroundings.” https://neurosciencenews.com/cognitive-map-scaling-6403/ (accessed April 13, 2017).[/cbtab][/cbtabs]
Abstract
Context-dependent spatially periodic activity in the human entorhinal cortex
The spatially periodic activity of grid cells in the entorhinal cortex (EC) of the rodent, primate, and human provides a coordinate system that, together with the hippocampus, informs an individual of its location relative to the environment and encodes the memory of that location. Among the most defining features of grid-cell activity are the 60° rotational symmetry of grids and preservation of grid scale across environments. Grid cells, however, do display a limited degree of adaptation to environments. It remains unclear if this level of environment invariance generalizes to human grid-cell analogs, where the relative contribution of visual input to the multimodal sensory input of the EC is significantly larger than in rodents. Patients diagnosed with nontractable epilepsy who were implanted with entorhinal cortical electrodes performing virtual navigation tasks to memorized locations enabled us to investigate associations between grid-like patterns and environment. Here, we report that the activity of human entorhinal cortical neurons exhibits adaptive scaling in grid period, grid orientation, and rotational symmetry in close association with changes in environment size, shape, and visual cues, suggesting scale invariance of the frequency, rather than the wavelength, of spatially periodic activity. Our results demonstrate that neurons in the human EC represent space with an enhanced flexibility relative to neurons in rodents because they are endowed with adaptive scalability and context dependency.
“Context-dependent spatially periodic activity in the human entorhinal cortex” by Yu Zhang, Chengzu Long, Hui Li, John R. McAnally, Kedryn K. Baskin, John M. Shelton, Rhonda Bassel-Duby, and Eric N. Olson in PNAS. Published online April 10 2017 doi:10.1073/pnas.1701352114
