A team of scientists has developed a method for identifying clusters of neurons that work in concert to guide the behavior. Their findings, which appear in the journal Neuron, address a long-standing mystery about the organization of the prefrontal cortex (PFC)—one of the most recently evolved parts of the primate brain that underlies complex cognitive functions.
“We have established a method to find functional groupings of neurons based on co-fluctuation of their responses,” says Roozbeh Kiani, an assistant professor in NYU’s Center for Neural Science and one of the study’s authors. “In doing so, we show that PFC neurons are organized into spatially contiguous maps, much like their counterparts in sensory cortices. The widely accepted notion that orderly spatial maps are restricted to sensory cortices, therefore, needs revision.”
“Our methodology is closely related to the techniques that led to the discovery of functional networks in brain imaging studies,” adds William Newsome, a professor of neurobiology at Stanford University and a Howard Hughes Medical Institute Investigator. “There is, however, a crucial difference. We extend the methodology to cellular scale and demonstrate that it can be used for identifying networks at a neuronal level. By suggesting a potential neural substrate for functional networks in macro-scale brain imaging we bridge a critical gap in our knowledge.”
The research focused on the “parcellation” of PFC neurons: how these cells are grouped together to perform specific functions. The scientists showed that the discovered subnetworks in the prefrontal cortex are linked to the decision-making behavior but seem to have distinct roles: one subnetwork better represents upcoming choices and another one seems to keep track of past choices.
Previous studies that explored spatial organization of neurons in the prefrontal cortex predominantly focused on the average responses of neurons by examining them one at a time. They missed the organization of the network “forest” for the neuron “trees”. In the Neuron paper, the researchers outlined a vastly different method. In it, they focused on the correlated activity of large numbers of simultaneously recorded neurons to spot the larger “topography” of the network—and how their groupings may be linked to the behavior. Specifically, they applied clustering algorithms that discover natural divisions in the matrix of response correlations to divide the recorded neural population.
“This technique provides an innovative, but straightforward, way to delineate cortical networks,” observers Kiani. “The subnetworks in the PFC are stable across behavioral tasks and are apparent even in the spontaneous fluctuations of neural responses. They seem to be largely defined by the intrinsic connectivity of neurons in the local network. Therefore, they provide an objective basis for dividing the cortex into constituent subnetworks, offering a common standard across experiments.”
The study’s other authors include Diogo Peixoto and Christopher Cueva from Stanford University’s Department of Neurobiology and Stephen Ryu, M.D., from the Palo Alto Medical Foundation’s Department of Neurosurgery.
The research was funded, in part, by Howard Hughes Medical Institute, Simons Collaboration on the Global Brain, and the Air Force Research Laboratory (FA9550-07-1-0537).
Deputy Director for Media Relations
James Devitt | newswise
Scientists uncover the role of a protein in production & survival of myelin-forming cells
19.07.2018 | Advanced Science Research Center, GC/CUNY
NYSCF researchers develop novel bioengineering technique for personalized bone grafts
18.07.2018 | New York Stem Cell Foundation
A new manufacturing technique uses a process similar to newspaper printing to form smoother and more flexible metals for making ultrafast electronic devices.
The low-cost process, developed by Purdue University researchers, combines tools already used in industry for manufacturing metals on a large scale, but uses...
For the first time ever, scientists have determined the cosmic origin of highest-energy neutrinos. A research group led by IceCube scientist Elisa Resconi, spokesperson of the Collaborative Research Center SFB1258 at the Technical University of Munich (TUM), provides an important piece of evidence that the particles detected by the IceCube neutrino telescope at the South Pole originate from a galaxy four billion light-years away from Earth.
To rule out other origins with certainty, the team led by neutrino physicist Elisa Resconi from the Technical University of Munich and multi-wavelength...
For the first time a team of researchers have discovered two different phases of magnetic skyrmions in a single material. Physicists of the Technical Universities of Munich and Dresden and the University of Cologne can now better study and understand the properties of these magnetic structures, which are important for both basic research and applications.
Whirlpools are an everyday experience in a bath tub: When the water is drained a circular vortex is formed. Typically, such whirls are rather stable. Similar...
Physicists working with Roland Wester at the University of Innsbruck have investigated if and how chemical reactions can be influenced by targeted vibrational excitation of the reactants. They were able to demonstrate that excitation with a laser beam does not affect the efficiency of a chemical exchange reaction and that the excited molecular group acts only as a spectator in the reaction.
A frequently used reaction in organic chemistry is nucleophilic substitution. It plays, for example, an important role in in the synthesis of new chemical...
Optical spectroscopy allows investigating the energy structure and dynamic properties of complex quantum systems. Researchers from the University of Würzburg present two new approaches of coherent two-dimensional spectroscopy.
"Put an excitation into the system and observe how it evolves." According to physicist Professor Tobias Brixner, this is the credo of optical spectroscopy....
13.07.2018 | Event News
12.07.2018 | Event News
03.07.2018 | Event News
20.07.2018 | Power and Electrical Engineering
20.07.2018 | Information Technology
20.07.2018 | Materials Sciences