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They found that both the LOC and the FPN respond to \u201cthings\u201d and \u201cstuff,\u201d but that each pathway has distinctive subregions that respond more strongly to one or the other. Credit: Neuroscience News<\/p>\nKey Questions Answered<\/p>\n
Q: What did the study uncover about how the brain processes materials?
A: It found that different brain regions are tuned to process rigid objects versus substances like water or sand.<\/p>\n
Q: Why does this distinction matter?
A: It allows the brain to plan actions based on how each type of material behaves\u2014like grasping a tool or scooping a liquid.<\/p>\n
Q: How was this tested?
A: Brain scans showed distinct activation patterns when participants viewed videos of solids versus fluids in motion.<\/p>\n
Summary: A new study reveals that our brains separate \u201cstuff\u201d like water and sand from \u201cthings\u201d like balls or tools, using specialized circuits in the visual cortex. Functional MRI scans showed distinct areas within the ventral and dorsal visual pathways that preferentially respond to the fluidity or rigidity of materials.<\/p>\n
This separation may help the brain simulate how to physically interact with different materials\u2014whether to grasp, pour, scoop, or avoid. The researchers suggest our brain may be operating much like a video game engine, running different physics simulations for fluids and solids.<\/p>\n
Key Facts<\/p>\n
Material Processing Split: Brain areas specialize in handling solids versus substances like water or sand.Behavior-Based Design: This neural distinction may guide how we decide to interact with different materials.Simulated Physics: The brain may model solids and fluids separately, echoing the logic of gaming physics engines.<\/p>\n
Source: MIT<\/p>\n
Imagine a ball bouncing down a flight of stairs. Now think about a cascade of water flowing down those same stairs. The ball and the water behave very differently, and it turns out that your brain has different regions for processing visual information about each type of physical matter.<\/p>\n
In a new study, MIT neuroscientists have identified parts of the brain\u2019s visual cortex that respond preferentially when you look at \u201cthings\u201d \u2014 that is, rigid or deformable objects like a bouncing ball. Other brain regions are more activated when looking at \u201cstuff\u201d \u2014 liquids or granular substances such as sand.<\/p>\n
They found that both the LOC and the FPN respond to \u201cthings\u201d and \u201cstuff,\u201d but that each pathway has distinctive subregions that respond more strongly to one or the other. Credit: Neuroscience News<\/p>\n
This distinction, which has never been seen in the brain before, may help the brain plan how to interact with different kinds of physical materials, the researchers say.\u00a0<\/p>\n
\u201cWhen you\u2019re looking at some fluid or gooey stuff, you engage with it in different way than you do with a rigid object. With a rigid object, you might pick it up or grasp it, whereas with fluid or gooey stuff, you probably are going to have to use a tool to deal with it,\u201d says Nancy Kanwisher, the Walter A. Rosenblith Professor of Cognitive Neuroscience; a member of the McGovern Institute for Brain Research and MIT\u2019s Center for Brains, Minds, and Machines; and the senior author of the study.<\/p>\n
MIT postdoc Vivian Paulun, who is joining the faculty of the University of Wisconsin at Madison this fall, is the lead author of the paper, which appears today in the journal\u00a0Current Biology. RT Pramod, an MIT postdoc, and Josh Tenenbaum, an MIT professor of brain and cognitive sciences, are also authors of the study.<\/p>\n
Stuff vs. things<\/p>\n
Decades of brain imaging studies, including early work by Kanwisher, have revealed regions in the brain\u2019s ventral visual pathway that are involved in recognizing the shapes of 3D objects, including an area called the lateral occipital complex (LOC).<\/p>\n
A region in the brain\u2019s dorsal visual pathway, known as the frontoparietal physics network (FPN), analyzes the physical properties of materials, such as mass or stability.<\/p>\n
Although scientists have learned a great deal about how these pathways respond to different features of objects, the vast majority of these studies have been done with solid objects, or \u201cthings.\u201d\u00a0<\/p>\n
\u201cNobody has asked how we perceive what we call \u2018stuff\u2019 \u2014 that is, liquids or sand, honey, water, all sorts of gooey things. And so we decided to study that,\u201d Paulun says.<\/p>\n
These gooey materials behave very differently from solids. They flow rather than bounce, and interacting with them usually requires containers and tools such as\u00a0spoons. The researchers wondered if these physical features might require the brain to devote specialized regions to interpreting them.<\/p>\n
To explore how the brain processes these materials, Paulun used a\u00a0software program designed for visual effects artists to create more than 100 video clips showing different types of things or stuff interacting with the physical environment.<\/p>\n
In these videos, the materials could be seen sloshing or tumbling inside a transparent box, being dropped onto another object, or bouncing or flowing down a set of stairs.\u00a0<\/p>\n
The researchers used functional magnetic resonance imaging (fMRI) to scan the visual cortex of people as they watched the videos. They found that both the LOC and the FPN respond to \u201cthings\u201d and \u201cstuff,\u201d but that each pathway has distinctive subregions that respond more strongly to one or the other.<\/p>\n
\u201cBoth the ventral and the dorsal visual pathway seem to have this subdivision, with one part responding more strongly to \u2018things,\u2019 and the other responding more strongly to \u2018stuff,\u2019\u201d Paulun says. \u201cWe haven\u2019t seen this before because nobody has asked that before.\u201d<\/p>\n
Physical interactions<\/p>\n
The findings suggest that the brain may have different ways of representing these two categories of material, similar to the artificial physics engines that are used to create video game graphics. These engines usually represent a 3D object as a mesh, while fluids are represented as sets of particles that can be rearranged.\u00a0<\/p>\n
\u201cThe interesting hypothesis that we can draw from this is that maybe the brain, similar to artificial game engines, has separate computations for representing and simulating \u2018stuff\u2019 and \u2018things.\u2019 And that would be something to test in the future,\u201d Paulun says.<\/p>\n
The researchers also hypothesize that these regions may have developed to help the brain understand important distinctions that allow it to plan how to interact with the physical world.<\/p>\n
To further explore this possibility, the researchers plan to study whether the areas involved in processing rigid objects are also active when a brain circuit involved in planning to grasp objects is active.\u00a0<\/p>\n
They also hope to look at whether any of the areas within the FPN correlate with the processing of more specific features of materials, such as the viscosity of liquids or the bounciness of objects. And in the LOC, they plan to study how the brain represents changes in the shape of fluids and deformable substances.<\/p>\n
Funding:<\/p>\n
The research was funded by the German Research Foundation, the U.S. National Institutes of Health, and a U.S. National Science Foundation grant to the Center for Brains, Minds, and Machines.\u00a0<\/p>\n
About this visual neuroscience research news<\/p>\n
Author: Sarah McDonnell<\/a>
Source: MIT<\/a>
Contact: Sarah McDonnell \u2013 MIT
Image: The image is credited to Neuroscience News<\/p>\n