brain connectivity

Four old maps were lying in different desk drawers. Each one marked genes linked to cellular aging, but the maps did not match: different names, different scales, different legends. A scientist hunting for a gene to test had to cross-check them by hand, at the risk of missing an important mark. SenSASP stitched those maps into one.

The brain is like a city where every cell is a resident, and its fate depends on its neighbors. It used to be thought that the aging of each cell was its own private business: DNA damage accumulated, so the cell wore out on its own. But a new study shows that even a cell's ability to repair its DNA depends on who lives next door.

A forest ages in different ways. In one spot the trees thin out gradually, as if they have grown tired of growing, while in another they cling stubbornly to life, spending their strength repairing damaged branches. The aging of the brain's cortex looks much the same when you view it through the lens of thousands of MRI scans.

A jazz trio plays in the dim light of a club. The pianist leads the melody, the bassist holds the rhythm, and the drummer sprinkles out rolls. If you listen only to pairs of musicians, you can catch how the pianist adjusts to the bass or the bass to the drums.

In the 1980s, the DARPA speech recognition challenge settled the debate between statistical methods and hand-written rules, setting a common standard for the entire field.

Imagine a large orchestra without a conductor. Each musician hears everyone else and adjusts to the collective hum. If every instrument amplifies its neighbors, the sound builds to a screech; if some occasionally dampen it, the orchestra may fall into silence or break into cacophony.

In 2023, in Belgium, 101 people aged 50 to 69 spent several days in a lab where their brains were scanned, their sleep was recorded, and they were asked to solve memory and attention tasks. That is how the COFITAGE dataset was born, describing each participant from five angles: molecular, structural, physiological, genetic and cognitive.

The brain as a house built too spacious: lovely to live in, but expensive to maintain. Parkinson's disease is usually pictured as the destruction of that house, with neurons dying and structures shrinking.

An old road atlas lies on the table. On its pages, lines connect cities, and the thickness of each line tells you how busy the traffic once was. A neural network looks at such a map and names the age of the car that drove along it. That is roughly how a model trained to predict a person's age from the map of their brain connections works.

Epithelium lines our organs like tiles on a floor. At rest, cells cling to each other, and the tissue is elastic. But during embryonic development, wound healing, or tumor growth, this layer begins to flow like thick honey. What exactly triggers such softening?

A stadium packed with fans hears the announcer’s voice for the first time, and instantly the whole place erupts. The message sounds again and again. Only a handful of people in nearby rows respond. That’s roughly how neural networks behave in brain organoids — tiny lab-grown replicas of the brain.

Water inside nerve fibers doesn't move like it does in a glass: it constantly bumps into the walls of axons (the long projections of nerve cells). If you make the pause between MRI radio pulses very short, water doesn't have time to travel far, and its movement reflects the tightness of the surrounding space.

A neuron receives thousands of signals on its branching processes — the dendrites. Some signals push the cell toward firing (excitation), others hold it back (inhibition). For a long time, it was thought that the neuron simply adds up all the 'fors' and 'againsts.' But in real dendrites, inhibition works differently: it can not subtract but divide the excitatory signal.

A city at night: lights on in some windows, dark in others. If you connect with lines the windows that light up simultaneously, you get a web of connections. Researchers studied such a web in tiny brain organoids — living clusters of nerve cells grown in the lab.

The meditating brain is an orchestra, and attention is the conductor. When you're focused on your breath, all instruments play in harmony. But suddenly, a thought-cello plays a false note: that's mind wandering. An experienced conductor doesn't panic: they instantly catch the dissonance and gently guide the orchestra back to the main melody — the breath.

A family tree becomes a tangle if you account for adopted children and remarriages. Evolution often resembles such a tangle: although the Standard Model, the traditional view of divergent evolution where species branch like a tree, paints a neat tree of species, in reality genes travel not only by inheritance but also directly between unrelated organisms — a process…

The frost pattern on a windowpane doesn't spread uniformly: it sprouts branches, captures new areas, sometimes sealing off voids. This growth is not a smooth expansion but a series of leaps. This image resonates surprisingly with a mathematical model devised by Charles Loewner a century ago.

Why do some systems, from gene networks to air travel, preserve imprints of the past longer than others? For a long time, network science blamed topology: the number of connections, modularity, spectrum. But two networks with the same skeleton can remember and forget in completely different ways.

The brain doesn't learn every task from scratch: it transfers experience from one activity to another. But how do you know which tasks are truly related? Neuroscientists came up with a clever trick: let an artificial network "peek" at brain activity during one task and try to predict activity during another. If it works well, the tasks are close.

A patchwork quilt where each patch is a recording of activity from a small brain region. One patch was stitched on Monday in London, another on Tuesday in New York, and a third a month ago in Tokyo. This mosaic covers the brain only partially, and there is no common seam to join them.

Assembling a nervous system is like building a city where each new house, a neuron, must connect to the road network at the right time. In the tiny worm C. elegans, this process can be seen in detail: it has only 302 neurons, and scientists have reconstructed their contacts at different developmental stages.

A neuron resembles an electrical circuit with batteries and variable resistors. The resistors are played by ion channels — protein pores in the membrane that open and close, letting charged particles through. Whether a nerve impulse fires depends on how fast and at what voltage these pores operate.

A neural network, like a sheet of graph paper, receives homogeneous signals at its input, and draws its own coordinate grid. Initially, connections between inputs and network cells form a gentle hill: the response is strongest at the center and fades toward the edges.

You're telling a friend a story, and their brain seems to tune into your wavelength — the same regions light up in sync with your words.

When the conductor leaves the orchestra, the musicians keep playing from memory for a while. But without a unified rhythm, each one starts to speed up or slow down on their own, and the harmonious symphony turns into disjointed noise. According to new research, the brain and heart behave much the same way in the last hours of a person's life.

A quantum particle traveling around a closed ring leaves two distinct 'records' along its path. The first is like a fingerprint on a doorknob: it remains unchanged no matter how many times you turn the knob, and it only tells you about the shape and material.

Engineers are building a car. Some assemble an exact replica of the engine, every piston and spark plug, but the car doesn't move: there's no steering wheel or wheels. Others build a fast self-driving go-kart, but its engine is made of playdough and doesn't resemble a real one. This is roughly the situation in brain science.

An artist paints a picture, glancing at the audience in the hall. If the viewer smiles, the artist adds more red and rounded lines to the canvas; if the viewer frowns, the artist removes blue and sharpens the angles.

The brain is like a city: regions are neighborhoods, and nerve pathways are roads, each with its own traffic intensity. Each person's transportation network is as unique as a fingerprint. What builds these routes — blueprints laid down at birth, or daily commutes that wear new paths?

The brain constantly juggles tasks: it reacts to a sharp sound, solves an equation, or drifts into daydreams. Scientists have long suspected that switches between different "scenarios" of neural network activity underlie this, but extracting them from the chaos of electrical signals was difficult.

The brain is like a multi-story building: lower floors process simple signals, while upper floors assemble them into complex perceptions. Scientists have long suspected that this order is tied to how neurons work together. But exactly how has remained a puzzle.

Inside every neuron, there's a long, thin channel, the axon, through which signals travel from the cell body to other cells. To keep this channel working, mitochondria constantly shuttle along it. These tiny organelles produce energy and move in both directions, like cars on a narrow road.

Brain aging is like the wear and tear on a bridge: cracks appear unnoticed, but if you reinforce the supports in time, the structure lasts longer. Three ordinary things turned out to be such supports — handgrip strength, the ability to move for a long time without breathlessness, and lung capacity.

Two runners on the same track. One starts halfway down the course, the other from the starting line. Who's faster? The answer is obvious, but in brain science, such a trick went unnoticed for a long time. Neural networks that replicate the connections of a real fruit fly brain were considered better learners than random networks.

Modern microscopes see the brain in exquisite detail: not just the synapses themselves, the contact points between neurons, but also the molecules they are made of. Such images are becoming more common and cheaper to produce.

A neuron in the brain is like a person handing out business cards at a crowded conference. At first, making acquaintances is easy, but as the address book fills up, each new contact requires more effort: there's little room left. The authors based their model on this 'crowding' rule: the more incoming connections a neuron already has, the harder it is to form another one.

A resting brain is not silent: its regions talk to each other, and these conversations can be eavesdropped on with a scanner. Usually, scientists track signal strength — how loudly each area 'sounds.' But a conversation also has rhythm: some areas light up simultaneously, others with a delay.

Neurons in the brain and nodes in artificial neural networks don't just fire with simple yes/no signals; they also handle smoothly varying quantities, like where an object is and how big it is. But neural responses are finicky: the same stimulus triggers slightly different bursts of activity each time.

A mouse brain contains about 70 million neurons, and the connections between them are far from evenly distributed: some cells have only a couple of dozen contacts, while others have thousands. It's like a city with quiet alleys and bustling squares. But until now, it was unclear how this unevenness affects the brain's actual function.

The brain is like a sprawling city: districts-regions communicate via streets-neural pathways. If traffic lights at an intersection fail, traffic grinds to a halt. Similarly, in the brain, when bundles of nerve fibers (white matter) malfunction, distant regions stop working in concert, and thought stalls.