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If your arm and hand have been left weak by a stroke, you’ll know it’s often the last thing to recover, and standard rehabilitation has surprisingly little to offer once you plateau. So this pilot trial from the University of Pittsburgh, published in Nature Medicine on 4 June 2026, caught my eye. Seven people with chronic, profound arm weakness got a measurable amount of movement back… using an implant borrowed from a completely different field of medicine.

As you know so well, a stroke damages the brain, not the spinal cord, and that turns out to be the whole basis of the idea. When you go to move your arm, the command still leaves the brain and travels down through the spinal cord to the neurons that fire the muscles; after a stroke those descending signals are badly weakened, but the spinal circuits below are still intact. They’re simply not getting a strong enough command any more. As lead researcher Marco Capogrosso puts it: ‘we’re not substituting anything. We’re just trying to facilitate whatever is left after stroke and help it as much as we can.’

The technique is called cervical epidural spinal cord stimulation. Two thin electrode leads are placed just outside the spinal cord at the neck, over the roots that serve the arm and hand (C3 to T1). The stimulation doesn’t drive the muscles directly; instead it targets the sensory nerve fibres entering the spinal cord (the dorsal-root afferents), and through them raises the excitability of the motor neurons, so the weakened signal still arriving from the brain is now enough to produce movement. The same class of device has been used for decades to treat chronic pain, and is already FDA-approved for that, but this is the first time anyone’s used it to restore arm function after a stroke.

The results, for a small early trial, were well worth having. All seven participants improved, whatever their starting level: an average 32% increase in arm strength, better overall arm mobility, and a reduction in the spasticity (the abnormal muscle stiffness) that so often follows stroke. And all of this came from fewer than nine hours of movement training across four weeks, with no serious side effects and no pain. One participant’s goal was simple: ‘my goal in the beginning was to be able to hug my girlfriend and daughter with both arms. I was able to do that.’ Professor George Wittenberg, a co-author, didn’t hold back: ‘it is like a quantum change in the way that stroke rehabilitation is being handled.’

Two things stand out about it. First, the effect is immediate; switch the stimulation on and the movement improves that moment, which, as Capogrosso notes, is itself a real motivator, because the survivor sees and feels the difference straight away and engages more. Second, it isn’t purely switch-on-switch-off. The stimulation gives an assistive effect while it’s on, but the research also points to a therapeutic effect that builds over time, with some improvement remaining even when it’s off. Btw, the one honest caveat from this feasibility study is that holding onto the gains largely depended on continued stimulation; function declined when the stimulation stopped, which is one of the main questions the next trial is set up to answer.

There’s real reason to take this seriously beyond the small numbers. Around 400,000 people in the US develop chronic arm and hand weakness after stroke every year, and, as Wittenberg says, we’re increasingly comfortable with implanted devices anyway: ‘people already get pacemakers to keep their heart going, so why not have a spinal cord stimulator to keep their movement going?’ The team is now recruiting for a longer trial, testing extended stimulation both on its own and alongside physical therapy, and Capogrosso reckons that, if no major obstacles come up, the technology could be approved for stroke within three to five years. That’s US-based and still some way from your local hospital here of course… but as timelines for this kind of neurotech go, three to five years is not long at all.

At ARNI, the ARNI Instructors and I have always worked on the principle that the arm comes back through intensive, repeated, meaningful practice… and nothing here changes that. What something like this offers is a way to make that practice possible for people whose signal to the muscle is currently just too weak to act on. Interesting stuff, and we’ll be watching where the next trial takes it.

After a stroke, a common cause of a stiff, hard-to-control upper limb is something called abnormal co-activation, or coupling; muscles that should fire separately instead fire together, so when you try to do one movement you might get an unwanted second one bundled in with it. The brain’s movement signals have, in effect, become ‘tangled’. A team at Northwestern University, led by Professor Marc Slutzky, has built a retro, 90s-style video game to tackle this effect, and published the results in Neurorehabilitation and Neural Repair in June 2026.

Slutzky’s system, called MINT (myoelectric interface for neurorehabilitation) works like this. You wear a small device on your affected arm that reads the electrical activity of your muscles (the electromyogram, or EMG). Two coupled muscles are each mapped to a direction on screen; say, your biceps moves the cursor right and your deltoid moves it up. If those two muscles are abnormally coupled, they fire together, so the cursor only travels diagonally, up and right at once, like turning both dials on an Etch-a-Sketch simultaneously. The game then places targets further and further off that diagonal, so the only way to reach them is to activate one muscle without the other. To score, you have to decouple. The more the muscles separate, the higher you score, and the separating is the therapy.

The results were strong, though the headline number needs a caveat. Participants were chronic and severely impaired; on average 6.4 years past their stroke, some as much as 12 years out, able to lift the arm a little but not straighten it. After six weeks, the best-performing group improved arm function by 7.8 times as much as a sham control group; to be precise – the impovement group being the group which was given an extra week of training on the most impairing muscles. Across the experimental groups as a whole, the improvement was around 4.5 times the sham group, which the researchers still rate as clinically meaningful. Two further points stand out; the survivors kept improving even after the therapy stopped, and there was a direct correlation between how much the co-activation reduced and how much movement improved, which points to the decoupling as the active ingredient rather than the exercise or the fun of the game.

The access angle is what makes it practically interesting.. because one can play at home, the training volume goes up sharply. Participants managed more than 300 repetitions a day, against perhaps 30 reps, three days a week, in typical clinic-based therapy. ‘Dosage’ sufficiency is acknowledged by experts in upper limb rehab such as Professor Nick Ward at Queen Square, UCL, to be one one of the persistent problems in stroke rehab – he says that most survivors end up getting a ‘homeopathic dose of training’ during their clinical rehab time. A cheap wearable plus a laptop would most probably a survivor rack up reps really easily. It also treats the impairment directly, rather than teaching the survivor to compensate (leaning the whole body forward to reach, say, instead of extending the arm); useful as compensation is, it actually doesn’t improve the arm itself. Slutzky’s team is apparently making the wearable fully wireless, upgrading the games to be more engaging, and is planning to test the same principle on survivors’ lower limbs.

A large stroke often leaves a permanent hole in the brain. Once the dead tissue is cleared away you’re left with a cavity, and up to now that’s been seen as permanent damage that can’t be undone or resolved, with rehab as the only possible solution. But a team at Duke University, led by Professor Tatiana Segura, has been trying something different to past attempts to ‘fill the gap’; injecting a smart hydrogel into that cavity to turn it into a place where the brain can start repairing itself. Basically, the gel is injected as a liquid, then sets into a soft, sponge-like scaffold full of tiny interconnected pores. The pores give the body’s own cells somewhere to move into and start rebuilding, and the gel also softens the dense scar that normally seals off the damaged area. So instead of just filling the hole, it opens it up as a sort of building site for repair.

The scaffold also carries tiny biological ‘signal packages’ (taken from astrocytes, the brain’s star-shaped support cells) to attract the immune cells that help with healing. Injecting those signals on their own did almost nothing; they only worked when anchored into the gel, where arriving cells could find them. The results are in Cell Biomaterials (July 2026) – and it shows that the effects in mice were strong. New blood vessels grew through the cavity, fresh nerve fibres (the wiring that lets brain cells connect) appeared, and, most importantly, movement improved. Mice given the gel did much better on a walking-coordination test, and after eight weeks they were performing on a par with healthy animals. It also worked when given more than 24 hours after the stroke; well outside the tight window that clot treatments need.

The idea of filling the stroke cavity isn’t new in and of itself btw; researchers have been trying to put biomaterials into that empty space for well over a decade now. Segura’s own earlier gels (developed first at UCLA) showed back in 2017 and 2018 that an injectable hydrogel could reduce scarring and draw new blood vessels and young nerve cells into the cavity in mice. Others have tried loading similar gels with growth factors, with stem cells, or with drugs, using the scaffold as a way to hold treatment in place at the injury rather than let it wash away through the bloodstream. So the cavity as a space to build in is a fairly established line of research.. what has varied to date is the various proposals re what you put into the scaffold, and how you get the brain to respond to it.

What’s harder, and what most of these attempts have struggled with, is turning that early promise into lasting, useful movement. Plenty of methods can grow a few new blood vessels or nudge some cells to migrate; far fewer produce the coordinated rebuilding (vessels, nerve fibres and the right immune activity all together) that actually shows up as better function. That’s the part this latest work is concentrating on, and it’s why the immune-system angle is drawing interest. So, the earlier gels mostly acted as passive scaffolding… whereas this one apparantly tries to organise the repair response around it. Whether that holds up beyond mice is the open question, but it’s a reason the field keeps coming back to the cavity idea despite the slow going. This is early animal research but the idea is a hopeful one for those of us dealing with long-term damage; not restoring blood flow (too late for that), but I think preparing the old, settled injury so the body can rebuild, and giving stroke rehab trainers more to work with is a great target to work for.

Most ‘rehabotics’ (rehab-robotics) so far has been good at one thing and poor at another. It can move a limb along a set path well enough, but it really struggles with the part a human therapist would do instinctively; sensing how much resistance to give, when to yield, when to push and adjusting all of that moment to moment by feel, etc. A group at MIT, working with the Technical University of Munich, has built a system aimed at exactly that gap. The team (Johannes Lachner, now at Purdue, and Noah Geiger, with Neville Hogan’s Newman Laboratory at MIT) set a clear design principle; extend therapists, not replace them, and let a therapist train their own robot. Their paper, “Diffusion-Based Impedance Learning for Contact-Rich Manipulation Tasks,” is in IEEE Transactions on Robotics.

The method fuses two established ideas. The first is impedance control, a long-standing robotics approach (Hogan’s own field) that governs how a robot responds to physical contact by setting its stiffness and damping; how rigidly or softly it reacts to being pushed. It’s stable and safe, but an engineer has to ‘hand-tune’ stiffness and damping values for each task, which doesn’t scale to real, varied rehab. The second is a generative diffusion model, the same class of AI used to generate images, but here it’s repurposed to generate behaviour rather than pixels.

What the diffusion model produces works like this: from the forces measured at the robot’s contact point (the external ‘wrenches’), a transformer-based diffusion model reconstructs what the researchers call a simulated Zero-Force Trajectory; the path the limb would follow if it were moving freely, with no resistance. An energy-based estimator then compares that intended path with what’s actually happening under contact, and adapts the robot’s stiffness and damping in real time, tightening along the direction of the task and softening along the axes that are irrelevant to it. So instead of a fixed, pre-tuned response, the assistance is continuously being ‘reshaped’ by the forces the patient is producing.

The performance figures show how well this works. Trained on only tens of thousands of samples, gathered by teleoperating the robot through both rehabilitation movements and an obstacle ‘parkour’ using an Apple Vision Pro headset, the model reached sub-millimetre positional and sub-degree rotational accuracy, ran in real-time torque control on a standard KUKA LBR iiwa arm, and generalised to tasks it had never seen; a 30/30 success rate inserting cylindrical, square and star-shaped pegs it wasn’t even trained on. In other words, it had learned something about physical interaction, not just memorised a set of movements – which I think is quite amazing.

In an ongoing study with Professor Cristina Piazza’s group at TUM and the Pfennigparade Rehabilitation Centre in Munich, physios and OTs are treating patients while wearing force-sensing gloves and being filmed. That data is being used to build models that capture the physical style of an individual therapist, with the eventual aim of therapist-specific models, evaluated against the same patients who previously had manual therapy. So the robot learns from expert human handling rather than from an abstract idealisation of it,  then delivers high-volume, force-adaptive practice to stroke survivors under supervision… this seems to me to be to be very useful – and on the right track to make robotic additions actually helpful addition, rather than promising so much and actually not really delivering anything much more than a therapist can do very well a without vastly expensive robot…

Peter Coghlan’s recovery story is one of the more remarkable you’ll come across. In 2011, aged just 33, this former soldier had a massive brain stem stroke and woke from a coma with locked-in syndrome; fully conscious and aware, but unable to move or speak. He could blink, and that was all. Imagine lying there, hearing people around your bed discuss a bleak future, with no way but blinking to tell them you’re still in there….

Locked-in syndrome is caused by damage to the pons, the part of the brain stem that carries nerve traffic between brain and body. Almost every voluntary muscle is paralysed, except, usually, the ones that move the eyes; so the person is awake and thinking clearly but unable to move or speak. Around 90% of people with it die within four months, and there’s still no cure, only assistive technology to help with communication.

Peter actually learned to communicate letter by letter on an alphabet board, using only his eyes. His first four words, blinked out to neurologist Professor David Blacker, were: ‘can you fix me?’ Then came the work; hours every day, trying to move a finger, trying to swallow, relearning the basics most of us never think about. At times, he says, it was like a horror film. But he kept at it. Six months and one day after his stroke, Peter walked (when no-one with his condition had been known to walk independently out of a hospital ward). Since then he’s kept setting himself challenges; 7km of Perth’s City to Surf, 15km for a charity walk, and last year he hiked Snowdon, the highest mountain in Wales, raising over £500 for fallen soldiers and quite possibly becoming the first locked-in syndrome quadriplegic stroke survivor to do it. He now volunteers on the same stroke ward where he was once a patient, and he’s written a book about it all, In the Blink of an Eye. Amazing stuff 😉

A word of caution alongside the inspiration, as ever. Peter’s degree of recovery is really rare; most people who survive locked-in syndrome don’t regain anything like this, and it depends heavily on the site and extent of the brain stem damage and much else outside anyone’s control. So it’s not a template; but it does show what can happen when someone refuses the ceiling placed on them and keeps chipping away long after most would have stopped, and that’s exactly the principle the ARNI Instructors and I work on every day; there’s often more in the tank than the first prognosis suggests. Peter did it with an alphabet board and a refusal to give in – great job Peter.

If you’ve had a stroke on the right side of the brain, you may well have come across a problem called spatial neglect, which is where the brain stops attending to everything on your left. It isn’t actually blindness; your eyes work perfectly well, but the brain no longer registers one side of the world. Survivors tend to miss food on the left of the plate, walk into door frames, read only the right half of a page – or don’t see a car coming from the left at a crossing. Neglect is among the most common cognitive effects of stroke, occurring in roughly 38% of survivors, and it’s also one of the strongest signs of a slower, harder recovery, so finding it early can change what comes next.

The trouble is that the usual bedside tests miss a good deal of it. Someone can complete a pen-and-paper cancellation task, or copy a drawing well enough, and still be neglecting their left side out in the daily life where the problem really bites. Conventional screening depends on structured verbal instructions and set tasks, which don’t always reflect how a person behaves when simply looking around a room. And, for survivors whose speech has been affected by the stroke, language-based tests become even harder still to administer fairly.

So a team at the University of Lucerne and the Lucerne Cantonal Hospital, led by Prof Thomas Nyffeler and Dr Brigitte Kaufmann, has spent several years developing a different approach based on eye-tracking, and their latest study (published in Neuropsychological Rehabilitation in 2026) takes it a significant step closer to everyday clinical use. The method is called free visual exploration. You simply look at photographs of ordinary everyday scenes, and an eye-tracker logs where your gaze goes. Someone with neglect explores only the right side of each image and leaves the left almost untouched, and when a clinician maps that gaze as a heat map, the imbalance shows up plainly. As you might imagine, this is far closer to how neglect actually behaves in real life than a tick-box test at the bedside!

What the new study adds is the missing piece that has held eye-tracking back from routine use: proper reference data. The team measured healthy people aged 20 to 89 to establish what normal looks like at every age, so a clinician now has age-appropriate benchmarks to compare a patient against. The overall direction of gaze stayed stable right across adulthood, which means the result holds up whatever a person’s age. When they tested the benchmark from their earlier work, it correctly identified over 95% of healthy participants, so a clinician can read an unusual result with real confidence as a genuine sign of neglect rather than ordinary variation in how people look at a scene. And their earlier research had already shown that clinicians pick up neglect more reliably using free-exploration eye-tracking than with the standard paper-pencil tests.

There are practical reasons this suits stroke survivors particularly well; it’s quick and needs almost no spoken instruction, so it works whatever a person’s first language, and even where speech has been affected by the stroke. And because you can repeat it easily and it gives consistent results over time, a therapist can use it not just to diagnose neglect once, but to track whether it’s improving as rehabilitation goes on. To help other clinics take it up, the team has made their normative data and analysis scripts openly available, so hospitals and neurorehabilitation centres can apply the same benchmarks straight away. It’s still moving from research into routine practice rather than sitting in every stroke unit today, but that transition looks a good deal closer than itdid. So a fast, language-free way for clinicians to pin it down early, and then follow it through recovery, is a welcome direction… and one we’ll be watching closely as it reaches more UK clinics.

How about this; imagine a soft, hair-thin thread being steered through the twisting blood vessels of the brain by a magnet held outside the skull, clearing the clot that caused a stroke. Science fiction, right?! But amazingly, it’s being built right now, by a team at MIT and a spinout called Magnendo led by Dr Yoonho Kim. And it could change how the most severe strokes are treated, and crucially, where they can be treated.

As you may know, when a large clot blocks one of the major arteries supplying the brain, the treatment is a thrombectomy: a surgeon threads a thin guidewire up through the blood vessels, from an artery in the groin or wrist all the way to the brain, then passes a catheter over it to pull the clot out. It’s one of the most effective treatments in all of stroke medicine. The hard part is the journey. The brain’s vessels are narrow, winding and fiendishly awkward to navigate, and steering a passive wire around those bends by hand takes real skill, real time, and carries a genuine risk of damaging a vessel wall along the way.

Magnendo’s answer grew out of years of research at MIT into what the team call ferromagnetic soft continuum robots. The guidewire has tiny magnetic particles built into a soft polymer tip, so instead of being pushed and twisted by hand, it’s steered from outside the body by a magnet mounted on a robotic arm. Tilt the magnet, and the tip follows the magnetic field around even the sharpest corner. In their earlier work, published in Science Robotics, the team showed the wire threading through a life-sized silicone model of the brain’s vessels, making one acute-angled turn after another to reach a series of aneurysms.. the wire is actually as thin and flexible as a conventional neurovascular guidewire, but where a standard wire is passive, this one actively steers itself toward the target.

The approach is posited to be able shorten the navigation stage of the procedure by 10 minutes or more in a typical case, and up to 30 minutes in a complex one, which is critical stuff when brain tissue is dying by the minute. In preclinical testing it reached hard-to-reach spots faster and more consistently, and, tellingly, it narrowed the gap between more and less experienced operators. The team has now been backed to develop the system further, with the longer-term aim of it navigating largely on its own, guided by live imaging and AI, so that a surgeon supervises rather than manually threads every millimetre.

So what could this mean for us as survivors and families? I think first about speed. Every minute a major artery stays blocked, more of the brain is lost, so anything that gets the clot out sooner means less damage and, very often, a better recovery to build on afterwards. But the bigger prize is access. Thrombectomy is brilliant, yet right now it’s only offered at a small number of specialist centres, because it needs a highly trained expert on hand, and many people who could benefit live too far from one to reach it in time. A robot that can do the difficult navigation, and could one day be operated remotely, might bring this treatment within reach of far more hospitals, so that where you happen to live weighs less heavily on whether you get it.

This is really early-stage work; larger trials and a long road through regulation lie ahead before any of it becomes routine. But the direction is a hopeful one: faster, safer clot removal, potentially available in many more places, for many more people. And obviously, the less brain tissue lost in those first crucial hours, the more there is to work with in rehabilitation afterwards… sounds good to us at ARNI Stroke Rehab… what’s your view?

After a stroke, the brain runs a repair programme of its own. The microglia, the brain’s resident immune cells, switch out of their initial inflammatory state and into a reparative one, producing growth factors such as insulin-like growth factor 1 (IGF1) that rebuild myelin around damaged nerve fibres and strengthen synaptic connections. This is a large part of what makes the early months after stroke so productive for rehabilitation… but it only lasts around two months, and once it fades, deficits tend to become permanent. Why it fades has never been well understood…

A team at the Institute of Science Tokyo, working with the Tokyo Metropolitan Institute of Medical Science, Kyushu University and the University of Freiburg, published their findings in Nature on 13 May 2026. They identified a transcription factor called ZFP384 which rises as the microglia lose their reparative properties; it disrupts the chromatin interactions mediated by a protein called YY1 that the microglia need in order to express their repair genes. The point with ZFP384, is that as it climbs, the repair programme switches off regardless of whether the brain still needs it. When the team deleted the Zfp384 gene from microglia in mouse stroke models, those animals held onto their recovery-associated gene expression far longer, with better remyelination, more synaptic plasticity and improved long-term neurological function.

They then built a therapeutic antisense oligonucleotide, ASO-Zfp384, to suppress the gene directly. An ASO is a short synthetic strand of nucleic acid designed to bind to the messenger RNA of a specific gene and trigger its degradation, turning that gene’s expression down. Six ASOs already hold FDA approval across three neurological conditions, including nusinersen for spinal muscular atrophy and tofersen for SOD1-associated ALS. ASOs cannot cross the blood-brain barrier when given systemically, so they are delivered by intrathecal injection into the cerebrospinal fluid, spreading along the neuraxis into the spinal cord and brain; imaging studies show glial cells take them up before neurons do, which matters here, since microglia are the target.

The timing of the ASO-Zfp384 results is significant…  the treatment sustained microglial reparative function and still worked when given a week, and even a month, after stroke onset; far outside the window in which clot-busting drugs are useful. Rather than suppressing inflammation, which has been the conventional approach, it retained the brain’s own repair programme. The team then examined brain tissue from human stroke patients and found the same relationship: as the human equivalent, ZNF384, rose, IGF1 declined. This is obviously animal research and the distance to the clinic is considerable; the next stage is safety and efficacy testing in larger preclinical models before any move toward human trials, so realistic NHS availability is a decade or more away. But. very interesting data to absorb.

In this post, I’m going to run through ten of the rarer stroke types, ordered from the least rare down to the rarest. For each one I’ve given the approximate share of all UK strokes it represents, and a rough number of people affected each year, working from the figure of roughly 100,000 strokes annually in the UK. Two caveats: some of these are measured as a proportion of all strokes and others as a cause of stroke in a particular group, so the figures aren’t all counting the same thing; and for the very rarest, UK-specific data is thin… so those numbers are estimates rather than firm counts:

  1. Subarachnoid haemorrhage (SAH), around 5% of all strokes, so roughly 5,000 UK cases a year. It’s a bleed into the space around the brain, usually from a ruptured aneurysm, and it presents differently from most strokes: a sudden, severe ‘thunderclap’ headache, often described as the worst of a person’s life, sometimes with neck stiffness, vomiting and/or collapse. It affects a younger average age than ischaemic stroke and is a serious neurosurgical emergency.
  1. Cervical artery dissection (CAD), roughly 2% of all strokes, so around 1,500 to 2,000 UK cases a year, yet responsible for up to a quarter of ischaemic strokes in people under 50. It’s a tear in the inner lining of a carotid or vertebral artery in the neck; blood enters the vessel wall, a clot can form, and a stroke follows. It can follow major trauma, but also something minor, like a sharp turn of the head, a sports injury, occasionally a hairdressing appointment or a heavy coughing fit.
  1. Spinal cord stroke (SCS), around 1% of all strokes, so in the region of 1,000 UK cases a year. Stroke is usually thought of as a brain event, but the spinal cord has its own blood supply and can suffer the same injury. Rather than affecting the face or speech, it affects movement and sensation below the level of the injury; sudden loss of use of the legs, for instance, or loss of temperature and pain sensation while other sensations are spared. Because it doesn’t resemble a typical stroke, it’s one of the most commonly misdiagnosed.
  1. Cerebral venous sinus thrombosis (CVST), well under 0.5% of all strokes, so roughly 200 to 270 UK cases a year. An ordinary ischaemic stroke involves a blocked artery carrying blood to the brain; CVST is the reverse, a clot in the veins that drain blood away from it. It occurs in a different population from most strokes: younger adults, and women around three times more often than men, with associations including pregnancy, the combined contraceptive pill and clotting disorders. Early symptoms are often vague btw, so it’s frequently taken for migraine at first.
  1. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), an inherited small-vessel disease, with a UK prevalence usually cited at around 2 to 5 per 100,000 people, so on the order of a few hundred affected individuals nationally and a small annual share of strokes. Caused by a fault in the NOTCH3 gene, it produces recurrent small deep strokes from mid-life, often alongside migraine with aura, mood disturbance and a gradual decline in thinking. It runs in families, and a parent with CADASIL passes it to each child with a one-in-two chance.
  1. Moyamoya disease (MMD), with a Western incidence of roughly 0.09 per 100,000 per year, so perhaps 50 to 100 new UK cases a year across all ages. The name describes the ‘puff of smoke’ appearance on angiography as the main arteries at the base of the brain narrow and the body grows a fragile network of tiny compensating vessels. It causes strokes in both children and young adults, is more common in East Asian populations, and often needs surgery to reroute blood supply.
  1. Fibromuscular dysplasia (FMD)-related stroke, rarer still as a cause of stroke, though FMD itself is under-recognised. FMD is an abnormal development of the artery wall, most often in the arteries to the kidneys and the neck; when the neck arteries are involved it can lead to dissection, aneurysm and stroke, typically in women under 50. Precise UK stroke numbers aren’t well established, but as a stroke cause it well below 0.5%.
  1. Stroke from a cardiac myxoma, a rare benign tumour of the heart. Fragments of the tumour, or clots forming on it, can break off and travel to the brain. Cardiac myxoma affects roughly 0.5 per million people a year, so only a handful of UK strokes annually arise this way; and actually, the stroke can be the first sign the tumour exists at all.
  1. Stroke from central nervous system (CNS) vasculitis, inflammation of the blood vessels within the brain itself. It’s genuinely rare, with primary CNS vasculitis (PCNSV) estimated at around 2.4 per million per year, so a small number of UK strokes a year. It can cause headache, cognitive change and strokes in people with no conventional vascular risk factors, and it’s one of the hardest diagnoses to reach, often needing specialist imaging or biopsy.
  1. Stroke from an air or fat embolism, where a bubble of air or a globule of fat, rather than a blood clot, blocks a cerebral vessel. Air embolism can follow certain medical procedures or diving accidents; fat embolism (FES, fat embolism syndrome) most often follows major long-bone fractures. Numbers are tiny and not reliably counted, but as a stroke mechanism it’s about as uncommon as they come.

So there it is – these ten all are managed within the same specialist stroke and neurosciences services as any other stroke, with the same rapid assessment and imaging. But because they affect younger people predominantly, present with unusual symptoms or fall outside the FAST template, they’re more often diagnosed late… and we know too well that ‘delay costs brain’…

Researchers at the Technical University of Munich have built a soft, pneumatic glove that reads the intention to grasp from your forearm muscles and then closes your hand around the object. Published in Nature Machine Intelligence in June 2026 by John Nassour and colleagues, the ‘soft-hand exoskeleton’ is a fabric glove with air cushions on its outer surface, inflated through 13 small tubes that bend and straighten each finger individually and rotate the wrist… enough to hold a plate, or grasp a glass, fork or spoon. Sensors on the forearm pick up the electrical signals from your muscles (an electromyogram), and machine learning reads those signals to work out the movement you intend; the system then inflates the air cushions to support that exact movement.

Dr Nassour says the glove predicts grasping intentions from muscle signals with 97% reliability. To stop objects being dropped by accident, extra motion sensors detect when you are carrying something and hold the grip closed throughout the movement.The glove was developed with a patient who has amyotrophic lateral sclerosis (ALS), a condition in which the nerve cells controlling muscle gradually degenerate and is being designed to be transferable for stroke survivors, esp. those with flaccidity, later.

By the start of the project he had very little control of his hands but could still move the first thumb joint, so the researchers built the system around the strongest signals from his thumb muscles. Despite very weak signals, the glove recognised his intention in 9 out of 10 cases; he reached for objects, held a fork for the first time in four years, and picked up small cubes and dropped them into a container. A video game helped too… he had to make a character jump using only his thumb joint, and five minutes of this improved his ability to grasp considerably.

Two things stand out beyond the tech. The first is cost. Nassour sewed the glove himself, and the fabric costs very little; as institute director Prof Gordon Cheng puts it, ‘we’ve found a solution that anyone can afford but still works very well.’ Most upper-limb assistive robotics is expensive and confined to specialist centres, so a low-cost, home-viable device that works this reliably is unusual. The second is breadth. The team is now adapting the concept for other patients, including stroke survivors; neurologist Prof Tobias Wächter believes it can help people with flaccid paralysis more widely, including those with peripheral nerve damage from motorcycle or bicycle accidents, or patients with polyneuropathy.

This is obviously just early research, and the stroke version is still being developed rather than tested at scale – larger trials across different conditions and levels of impairment will be needed before anything reaches routine use. There is no UK availability, no regulatory approval and no confirmed timeline; realistically, routine use here is several years away. At ARNI, we work on grasp, grip and hand function from the earliest stages of recovery, and so an affordable device that reads your intention to move and then helps you complete it, at home, sounds very useful to us…



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