Every morning, the simple act of rising from bed and preparing breakfast involves a cascade of seamless decisions and movements. Walking through a dim hallway, accessing memories about food, and evaluating one’s body state—all occur effortlessly within seconds. But how does the brain orchestrate such complexity with such ease?
A significant part of the answer lies in the brain’s electrical activity. Roughly half of its energy expenditure is devoted to maintaining electrochemical gradients that prime neurons for rapid activation. This readiness enables the brain to flexibly adapt to the demands of daily life. The synchronized firing of countless neurons generates electrical waves that ripple across regions, akin to waves of motion sweeping through a stadium crowd.
Recent research has revealed that these neural waves are far more intricate than once believed. Traditionally, electroencephalography (EEG) and electrode recordings captured them as simple, rhythmic oscillations—often dismissed as mere background noise signaling brain activity. But emerging findings in both humans and animals suggest that these traveling waves are not just byproducts—they are integral to how the brain functions.
“Recent research is shifting the perspective—from questioning whether these waves matter, to recognizing them as a fundamental mechanism of cortical information processing,” said Earl K. Miller, a cognitive neuroscientist at MIT.
In a study published in Nature Communications in April 2026, researchers including Joshua Jacobs and Anup Das from the University of Chicago used intracranial electrodes to map traveling waves in unprecedented detail. They discovered a range of wave morphologies: source waves radiating outward from specific regions, sink waves drawing activity inward, and vortex-like spiral patterns. Crucially, different cognitive tasks triggered distinct wave configurations.
Joshua Jacobs and Anup Das were part of a team that observed complex patterns of brain waves using intracranial electrodes.
Courtesy of Joshua Jacobs
While neurons adjust their synaptic connections gradually—over days or weeks—behavior must shift in real time. Many scientists now propose that large-scale wave patterns enable the brain to dynamically reorganize itself to meet moment-to-moment challenges.
“Even if traveling waves simply reflect neural firing, they reveal something profound about how the brain is structured for the task at hand,” Jacobs noted. “Seeing a signal move directionally through the brain is like detecting airflow patterns around an engine—it tells you the system is functionally organized.”
### Back and Forth
The study of brain oscillations began in the 1920s with Hans Berger’s invention of EEG, which detects electrical rhythms on the scalp. These oscillations, labeled as alpha, beta, gamma, and theta waves, correlate with mental states like attention, memory, and sleep.
However, surface-level recordings lack precision. Jacobs’ lab employs intracranial monitoring, taking advantage of epilepsy patients who already have electrodes implanted in their brains for clinical purposes. With high-density placement—up to 100 electrodes in targeted regions—researchers gain unprecedented spatial and temporal resolution.
Neuroengineer Uma Mohan observed waves traveling across the brain during memory tasks, which could help it switch between functions quickly.
Jacobs and collaborator Uma Mohan—now at the NIH—used this technology to observe cortical wave dynamics during memory tests. Their 2024 study in Nature Human Behavior revealed waves traveling in opposing directions across the cortex: either from back to front, or front to back.
“The visual cortex sits at the back of the brain, while the prefrontal cortex—responsible for higher-order memory functions—is located up front,” explained Jacobs. “When someone focuses on what they’re seeing, signals travel backward from the eyes to the visual cortex, then forward into broader brain networks. That leaves a clear directional signature.”
Mohan added, “These waves seem to enable the brain to toggle between encoding new memories and retrieving stored ones, depending on what’s needed.”
### Shifting Patterns
The 2026 study expanded this understanding, revealing not just linear or bilateral wave motion, but also complex geometries. In awake human participants performing two types of memory tasks—one verbal, one spatial—researchers identified two novel wave categories.
The first resembled concentric ripples spreading outward from a central point, or converging inward toward a focal area. The second involved rotating spiral waves, twisting clockwise or counterclockwise like hurricanes or whirlpools.
“The rotating patterns showed up more frequently during the spatial navigation task compared to the verbal one,” Jacobs observed. “It seems plausible that spiral waves support more nuanced processing.”
Previously, researchers interpreting wave data analyzed individual electrodes or small clusters, leading to an oversimplified view of wave behavior. However, when viewed through coordinated arrays spaced appropriately, richer structures emerged.
Mathematical biologist Bard Ermentrout thinks that simple wave patterns seen in past experiments might have been part of more complex waves.
Courtesy of Bard Ermentrout
To dig deeper, Jacobs collaborated with Bard Ermentrout, a computational neuroscientist at the University of Pittsburgh, who had studied analogous patterns in rodent models. Ermentrout hypothesized that earlier observations of “planar” waves may have only captured fragments of larger, rotating systems.
“Think of it this way—if you’re watching a hurricane from miles away, you might mistake its spiral bands for straight-line winds,” Ermentrout said. “Similarly, many prior recordings likely missed the full scope of neural waves due to limited coverage.”
Despite growing insights, gaps remain. Current methods rely on electrode placements dictated by clinical needs, potentially skewing data.
### More Than the Motor
Though debate persists about the functional significance of these waves, several researchers believe they serve as dynamic conduits linking distant brain areas. According to Miller, unlike fixed anatomical wiring, neural waves offer flexible coordination mechanisms operating on behaviorally relevant timescales.
“The brain’s physical structure sets boundaries, but waves don’t always follow those rules rigidly,” Miller explained. “Long-term connections store knowledge; transient waves express it dynamically.”
Waves appear to influence various cognitive processes, including sensory integration, predictive modeling, and modulation of neuronal excitability. They may even prime neurons to fire more readily—or suppress activity altogether.
Zhiwen Ye, a neuroscientist at Shenzhen Medical Academy of Research and Translation, and his colleagues observed rotating waves that were mirrored across the left and right hemispheres of mouse brains.
Findings from a June 2026 Science paper by Zhiwen Ye and Nicholas Steinmetz confirmed earlier human results in animal models. In mice, rotating waves traveled symmetrically between brain hemispheres, suggesting evolutionary conservation.
Notably, in the somatosensory cortex—an area linking sensation and movement—neurons formed circular circuits that could naturally give rise to spiral activity.
“This architectural design wasn’t random,” Ye emphasized. “If spirals weren’t crucial, why would the brain evolve such precise cellular arrangements?”
Meanwhile, a September 2026 Neuron review co-authored by Lyle Muller and John Reynolds argued that traveling waves play pivotal roles in sensory prediction. By integrating prior experiences with ongoing input, these waves help forecast environmental changes before they occur.
Miller extended this idea using metaphor: “Imagine neurons like Humpty Dumpty perched atop a wall—one slight nudge tips them over into firing. Oscillations tweak their threshold, determining whether that tipping point arrives sooner or later.”
Yet skepticism remains. Some experts, like György Buzsáki of NYU, contend that waves are epiphenomena—mere reflections of underlying synaptic activity rather than drivers of cognition.
“Electrical fields don’t compute anything on their own,” Buzsáki stated. “They’re the consequence—not the cause—of neural communication.”
Nonetheless, mounting evidence supports the notion that brain waves are active participants in thought, not passive observers.
“These waves exhibit predictable relationships with behavior,” Miller concluded. “That kind of consistency can’t be ignored.”
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