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Editing brain circuits to enhance memory!

Every thought, memory, and feeling we experience depends on trillions of tiny connection points in the brain called synapses. These are the junctions where one neuron passes signals to another, forming the vast communication network known as the connectome—the brain’s wiring diagram. Although scientists have developed powerful tools to increase or decrease neural activity, directly redesigning the brain’s physical wiring has remained far more difficult.

A research team has now developed a molecular tool that makes such structural editing possible. The new platform, called SynTrogo (Synthetic Trogocytosis), enables researchers to induce astrocytes to selectively remodel synaptic connections in a targeted brain circuit.

The system works like a molecular lock-and-key mechanism. Neurons in the target circuit are engineered to display a molecular “tag” on their surface (a lock), while nearby astrocytes are engineered with a matching binding partner (a key). When the two cells come into contact, the astrocyte is induced to “nibble” part of the neuronal membrane and nearby synaptic material through a trogocytosis-like process—a form of partial cellular uptake seen in several biological systems. By harnessing this process synthetically, the researchers created a way to selectively reduce synaptic connectivity in a defined neural circuit.

The team then asked whether these cellular changes translated into behavioral effects. In contextual fear-conditioning experiments, mice with SynTrogo-modified hippocampal circuits showed stronger memory than control animals. They displayed enhanced recall both two days after learning and 23 days later, indicating improvements in both recent and remote memory. Importantly, these mice also remained capable of extinction learning—the process by which previously learned fear responses are reduced when they are no longer appropriate—suggesting that SynTrogo strengthened memory without sacrificing cognitive flexibility.

Further analysis suggested that SynTrogo may place synapses into a more plastic, learning-ready state. Before learning, AMPA receptor-mediated synaptic responses were reduced, but after fear conditioning they recovered to control-like levels. This implies that the remodeled circuit may be particularly poised for experience-dependent strengthening when new learning occurs.

Language mapped to a high‐resolution brain atlas for surgical evaluation of epilepsy patients

Interactive language maps translated into the Yale Brain Atlas can help standardize multimodal communication and individualize patient care.


Objective We created composite maps of language function from extraoperative stimulation literature and transformed them to the Yale Brain Atlas (YBA), which offers precise cortical localization with 690 one cm2 parcels, based on the MNI152 template and anatomical landmarks. This allowed comparison to similarly transformed direct cortical stimulation (DCS) maps created from medically intractable epilepsy patients studied intracranially at Yale University and selected fMRI activation data. Our goal was to create anatomically precise boundaries of language function and support individualized planning for intracranial EEG (icEEG) studies and/or surgical resection.

Rapid Eye Movements Enhance Information Acquisition

A model captures how the retina avoids tuning out during a fixed gaze.

Tiny, small-scale eye movements persist even when a human stares at a fixed point. Physiologists have long speculated about how these fixational eye movements, or “drift,” might help visual processing. Alexander Houston of the University of Glasgow in the UK and his collaborators now present a model that describes how both the stimulus—the visual scene—and the rapid eye movements affect visual performance [1]. They show how seemingly random eye movements serve to couple the spatial structure of a stimulus to a time-dependent visual response, with regimes that can be beneficial, detrimental, or ineffectual to information acquisition.

When you stare at an image, light travels through the lens in your eye before reaching the retina: the neural structure at the back of the eye that contains the photoreceptor array. Although the image appears clearly, if you stare fixedly for long enough, parts of it may fade from view. The retina “adapts” and stops signaling. Because of drift, however, each photoreceptor’s position shifts along a diffusive trajectory. In the model developed by Houston and his collaborators, these retinal movements impart a time dependence to spatial variations in the incoming light, overcoming the retina’s tendency to stop signaling.

The Thermodynamics of Mind

To not only survive, but also thrive, the brain must efficiently orchestrate distributed computation across space and time. This requires hierarchical organisation facilitating fast information transfer and processing at the lowest possible metabolic cost. Quantifying brain hierarchy is difficult but can be estimated from the asymmetry of information flow. Thermodynamics has successfully characterised hierarchy in many other complex systems. Here, we propose the ‘Thermodynamics of Mind’ framework as a natural way to quantify hierarchical brain orchestration and its underlying mechanisms. This has already provided novel insights into the orchestration of hierarchy in brain states including movie watching, where the hierarchy of the brain is flatter than during rest. Overall, this framework holds great promise for revealing the orchestration of cognition.

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