̽��ֱ�� of Cambridge - brain

Cambridge Festival Speaker Spotlight: Professor Paul Bays

zs332 — Tue, 11 Mar 2025 13:24:10 +0000

Paul Bays is a Professor of Computation and Cognition in the Department of Psychology at the ̽��ֱ�� of Cambridge. He investigates the nature of the internal representations our brains construct and sustain to interact with the world and the computations performed on them to achieve behavioural goals.

Cambridge researchers developing brain implants for treating Parkinson’s disease

sc604 — Thu, 23 Jan 2025 10:33:21 +0000

As part of a £69 million funding programme supported by the Advanced Research + Invention Agency (ARIA), Professor George Malliaras from Cambridge’s Department of Engineering will co-lead a project that uses small clusters of brain cells called midbrain organoids to develop a new type of brain implant, which will be tested in animal models of Parkinson’s disease.

̽��ֱ��project led by Malliaras and Professor Roger Barker from the Department of Clinical Neurosciences, which involves colleagues from the ̽��ֱ�� of Oxford, the ̽��ֱ�� of Lund and BIOS Health, is one of 18 projects funded by ARIA as part of its Precision Neurotechnologies programme, which is supporting research teams across academia, non-profit R&D organisations, and startups dedicated to advancing brain-computer interface technologies.

̽��ֱ��programme will direct £69 million over four years to unlock new methods for interfacing with the human brain at the neural circuit level, to treat many of the most complex neurological and neuropsychiatric disorders, from Alzheimer’s to epilepsy to depression.

By addressing bottlenecks in funding and the lack of precision offered by current approaches, the outputs of this programme will pave the way for addressing a much broader range of conditions than ever before, significantly reducing the social and economic impact of brain disorders across the UK.

Parkinson’s disease occurs when the brain cells that make dopamine (a chemical that helps control movement) die off, causing movement problems and other symptoms. Current treatments, like dopamine-based drugs, work well early on, but can cause serious side effects over time.

In the UK, 130,000 people have Parkinson’s disease, and it costs affected families about £16,000 per year on average – more than £2 billion in the UK annually. As more people age, the number of cases will grow, and new treatments are urgently needed.

One idea is to replace the lost dopamine cells by transplanting new ones into the brain. But these cells need to connect properly to the brain’s network to fix the problem, and current methods don’t fully achieve that.

In the ARIA-funded project, Malliaras and his colleagues are working on a new approach using small clusters of brain cells called midbrain organoids. These will be placed in the right part of the brain in an animal model of Parkinson’s disease. They’ll also use advanced materials and electrical stimulation to help the new cells connect and rebuild the damaged pathways.

“Our ultimate goal is to create precise brain therapies that can restore normal brain function in people with Parkinson’s,” said Malliaras.

“To date, there’s been little serious investment into methodologies that interface precisely with the human brain, beyond ‘brute force’ approaches or highly invasive implants,” said ARIA Programme Director Jacques Carolan. “We’re showing that it’s possible to develop elegant means of understanding, identifying, and treating many of the most complex and devastating brain disorders. Ultimately, this could deliver transformative impact for people with lived experiences of brain disorders.”

Other teams funded by the programme include one at Imperial College London who is developing an entirely new class of biohybridised technology focused on engineering transplanted neurons with bioelectric components. A Glasgow-led team will build advanced neural robots for closed-loop neuromodulation, specifically targeting epilepsy treatment, while London-based Navira will develop a technology for delivering gene therapies across the blood-brain barrier, a crucial step towards developing safer and more effective treatments.

Adapted from an ARIA media release.

Cambridge researchers are developing implants that could help repair the brain pathways damaged by Parkinson’s disease.

Our ultimate goal is to create precise brain therapies that can restore normal brain function in people with Parkinson’s

George Malliaras

Science Photo Library via Getty Images

Substantia nigra in the human brain, illustration

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

AI-deas: Using AI to tackle society's biggest challenges

lw355 — Thu, 09 Jan 2025 00:00:00 +0000

Aspirations for the ability of AI to transform society couldn’t be higher. Realising this potential will require bridging the gap between AI development and public value. Cambridge's AI-deas initiative aims to do just that.

Sex differences in brain structure present at birth

Anonymous — Tue, 07 Jan 2025 08:00:33 +0000

While male brains tended to be greater in volume than female brains, when adjusted for total brain volume, female infants on average had significantly more grey matter, while male infants on average had significantly more white matter in their brains.

Grey matter is made up of neuron cell bodies and dendrites and is responsible for processing and interpreting information, such as sensation, perception, learning, speech, and cognition. White matter is made up of axons, which are long nerve fibres that connect neurons together from different parts of the brain.

Yumnah Khan, a PhD student at the Autism Research Centre, who led the study, said: “Our study settles an age-old question of whether male and female brains differ at birth. We know there are differences in the brains of older children and adults, but our findings show that they are already present in the earliest days of life.

“Because these sex differences are evident so soon after birth, they might in part reflect biological sex differences during prenatal brain development, which then interact with environmental experiences over time to shape further sex differences in the brain.”

One problem that has plagued past research in this area is sample size. ̽��ֱ��Cambridge team tackled this by analysing data from the Developing Human Connectome Project, where infants receive an MRI brain scan soon after birth. Having over 500 newborn babies in the study means that, statistically, the sample is ideal for detecting sex differences if they are present.

A second problem is whether any observed sex differences could be due to other factors, such as differences in body size. ̽��ֱ��Cambridge team found that, on average, male infants had significantly larger brain volumes than did females, and this was true even after sex differences in birth weight were taken into account.

After taking this difference in total brain volume into account, at a regional level, females on average showed larger volumes in grey matter areas related to memory and emotional regulation, while males on average had larger volumes in grey matter areas involved in sensory processing and motor control.

̽��ֱ��findings of the study, the largest to date to investigate this question, are published in the journal Biology of Sex Differences.

Dr Alex Tsompanidis who supervised the study, said: “This is the largest such study to date, and we took additional factors into account, such as birth weight, to ensure that these differences are specific to the brain and not due to general size differences between the sexes.

“To understand why males and females show differences in their relative grey and white matter volume, we are now studying the conditions of the prenatal environment, using population birth records, as well as in vitro cellular models of the developing brain. This will help us compare the progression of male and female pregnancies and determine if specific biological factors, such as hormones or the placenta, contribute to the differences we see in the brain.”

̽��ֱ��researchers stress that the differences between males and females are average differences.

Dr Carrie Allison, Deputy Director of the Autism Research Centre, said: “ ̽��ֱ��differences we see do not apply to all males or all females, but are only seen when you compare groups of males and females together. There is a lot a variation within, and a lot of overlap between, each group.”

Professor Simon Baron-Cohen, Director of the Autism Research Centre, added: “These differences do not imply the brains of males and females are better or worse. It’s just one example of neurodiversity. This research may be helpful in understanding other kinds of neurodiversity, such as the brain in children who are later diagnosed as autistic, since this is diagnosed more often in males.”

̽��ֱ��research was funded by Cambridge ̽��ֱ�� Development and Research, Trinity College, Cambridge, the Cambridge Trust, and the Simons Foundation Autism Research Initiative.

Reference
Khan, Y T, Tsompanidis, A, Radecki, M A, et al. Sex differences in human brain structure at birth. Biol Sex Differ; 17 Oct 2024; DOI: 10.1186/s13293-024-00657-5

Sex differences in brain structure are present from birth, research from the Autism Research Centre at the ̽��ֱ�� of Cambridge has shown.

We know there are differences in the brains of older children and adults, but our findings show that they are already present in the earliest days of life

Yumnah Khan

Chayene Rafaela

Photograph of a young girl hugging a baby boy

Yes

Licence type:

Public Domain

Bird brain from the age of dinosaurs reveals roots of avian intelligence

sc604 — Wed, 13 Nov 2024 14:20:58 +0000

A ‘one of a kind’ fossil discovery could transform our understanding of how the unique brains and intelligence of modern birds evolved, one of the most enduring mysteries of vertebrate evolution.

Cambridge joins forces with ARIA to fast-track radical new technologies to revolutionise brain health

Anonymous — Wed, 09 Oct 2024 12:57:22 +0000

̽��ֱ��collaboration, which includes researchers from the ̽��ֱ�� of Cambridge, aims to accelerate progress on new neuro-technologies, including miniaturised brain implants designed to treat depression, dementia, chronic pain, epilepsy and injuries to the nervous system.

Neurological and mental health disorders will affect four in every five people in their lifetimes, and present a greater overall health burden than cancer and cardiovascular disease combined. For example, 28 million people in the UK are living with chronic pain and 1.3 million people with traumatic brain injury.

Neuro-technology – where technology is used to control the nervous system - has the potential to deliver new treatments for these disorders, in much the same way that heart pacemakers, cochlear implants and spinal implants have transformed medicine in recent decades.

̽��ֱ��technology can be in the form of electronic brain implants that reset abnormal brain activity or help deliver targeted drugs more effectively, brain-computer interfaces that control prosthetic limbs, or technologies that train the patient’s own cells to fight disease. ARIA’s Scalable Neural Interfaces opportunity space is exploring ways to make the technology more precise, less invasive, and applicable to a broader range of diseases.

Currently, an implant can only interact with large groups of neurons, the cells that transmit information around the brain. Building devices that interact with single neurons will mean a more accurate treatment. Neuro-technologies also have the potential to treat autoimmune disorders, including rheumatoid arthritis, Crohn’s disease and type-1 diabetes.

̽��ֱ��science of building technology small enough, precise enough and cheap enough to make a global impact requires an environment where the best minds from across the UK can collaborate, dream up radical, risky ideas and test them without fear of failure.

Professor George Malliaras from the ̽��ֱ�� of Cambridge’s Department of Engineering is one of the project leaders. “Miniaturised devices have the potential to change the lives of millions of people currently suffering from neurological conditions and diseases where drugs have no effect,” he said. “But we are working at the very edge of what is possible in medicine, and it is hard to find the support and funding to try radical, new things. That is why the partnership with ARIA is so exhilarating, because it is giving brilliant people the tools to turn their original ideas into commercially viable devices that are cheap enough to have a global impact.”

Cambridge’s partnership with ARIA will create a home for original thinkers who are struggling to find the funding, space and mentoring needed to stress-test their radical ideas. ̽��ֱ��three-year partnership is made up of two programmes:

̽��ֱ��Fellowship Programme (up to 18 fellowships)

Blue Sky Fellows – a UK-wide offer - we will search the UK for people from any background, with a radical idea in this field and the plan and personal skills to develop it. ̽��ֱ��best people will be offered a fellowship with the funding to test their ideas in Cambridge rapidly. These Blue Sky Fellows will receive mentorship from our best medical, scientific and business experts and potentially be offered accommodation at a Cambridge college. We will be looking for a specific type of person to be a Blue Sky Fellow. They must be the kind of character who thinks at the very edge of the possible, who doesn’t fear failure, and whose ideas have the potential to change billions of lives, yet would struggle to find funding from existing sources. Not people who think outside the box, more people who don’t see a box at all.

Activator Fellows - a UK-wide offer - those who have already proved that their idea can work, yet need support to turn it into a business, will be invited to become Activator Fellows. They will be offered training in entrepreneurial skills including grant writing, IP management and clinical validation, so their innovation can be ready for investment.

̽��ֱ��Ecosystem Programme

̽��ֱ��Ecosystem Programme is about creating a vibrant, UK-wide neurotechnology community where leaders from business, science, engineering, academia and the NHS can meet, spark ideas and form collaborations. This will involve quarterly events in Cambridge, road trip events across the UK and access to the thriving online Cambridge network, Connect: Health Tech.

“This unique partnership is all about turning radical ideas into practical, low-cost solutions that change lives,” said Kristin-Anne Rutter, Executive Director of Cambridge ̽��ֱ�� Health Partners. “Cambridge is fielding its best team to make this work and using its networks to bring in the best people from all over the UK. From brilliant scientists to world-leading institutes, hospitals and business experts, everyone in this collaboration is committed to the ARIA partnership because, by working together, we all see an unprecedented opportunity to make a real difference in the world.”

“Physical and mental illnesses and diseases that affect the brain such as dementia are some of the biggest challenges we face both as individuals and as a society,” said Dr Ben Underwood, Associate Professor of Psychiatry at the ̽��ֱ�� of Cambridge and Honorary Consultant Psychiatrist at Cambridgeshire and Peterborough NHS Foundation Trust. “This funding will bring together different experts doing things at the very limits of science and developing new technology to improve healthcare. We hope this new partnership with the NHS will lead to better care and treatment for people experiencing health conditions.”

Cambridge partners in the project include the Departments of Engineering and Psychiatry, Cambridge Neuroscience, the Milner Therapeutics Institute, the Maxwell Centre, Cambridge ̽��ֱ�� Health Partners (CUHP), Cambridge Network, the Babraham Research Campus, Cambridgeshire and Peterborough NHS Foundation Trust, and Vellos.

A team from across the Cambridge life sciences, technology and business worlds has announced a multi-million-pound, three-year collaboration with the Advanced Research and Invention Agency (ARIA), the UK government’s new research funding agency.

Science Photo Library via Getty Images

Illustration of human brain

Yes

Ultra-powered MRI scans show damage to brain’s ‘control centre’ is behind long-lasting Covid-19 symptoms

sc604 — Tue, 08 Oct 2024 01:28:45 +0000

Using ultra-high-resolution scanners that can see the living brain in fine detail, researchers from the Universities of Cambridge and Oxford were able to observe the damaging effects Covid-19 can have on the brain.

̽��ֱ��study team scanned the brains of 30 people who had been admitted to hospital with severe Covid-19 early in the pandemic, before vaccines were available. ̽��ֱ��researchers found that Covid-19 infection damages the region of the brainstem associated with breathlessness, fatigue and anxiety.

̽��ֱ��powerful MRI scanners used for the study, known as 7-Tesla or 7T scanners, can measure inflammation in the brain. Their results, published in the journal Brain, will help scientists and clinicians understand the long-term effects of Covid-19 on the brain and the rest of the body. Although the study was started before the long-term effects of Covid were recognised, it will help to better understand this condition.

̽��ֱ��brainstem, which connects the brain to the spinal cord, is the control centre for many basic life functions and reflexes. Clusters of nerve cells in the brainstem, known as nuclei, regulate and process essential bodily functions such as breathing, heart rate, pain and blood pressure.

“Things happening in and around the brainstem are vital for quality of life, but it had been impossible to scan the inflammation of the brainstem nuclei in living people, because of their tiny size and difficult position.” said first author Dr Catarina Rua, from the Department of Clinical Neurosciences. “Usually, scientists only get a good look at the brainstem during post-mortem examinations.”

“ ̽��ֱ��brainstem is the critical junction box between our conscious selves and what is happening in our bodies,” said Professor James Rowe, also from the Department of Clinical Neurosciences, who co-led the research. “ ̽��ֱ��ability to see and understand how the brainstem changes in response to Covid-19 will help explain and treat the long-term effects more effectively.”

In the early days of the Covid-19 pandemic, before effective vaccines were available, post-mortem studies of patients who had died from severe Covid-19 infections showed changes in their brainstems, including inflammation. Many of these changes were thought to result from a post-infection immune response, rather than direct virus invasion of the brain.

“People who were very sick early in the pandemic showed long-lasting brain changes, likely caused by an immune response to the virus. But measuring that immune response is difficult in living people,” said Rowe. “Normal hospital-type MRI scanners can’t see inside the brain with the kind of chemical and physical detail we need.”

“But with 7T scanners, we can now measure these details. ̽��ֱ��active immune cells interfere with the ultra-high magnetic field, so that we’re able to detect how they are behaving,” said Rua. “Cambridge was special because we were able to scan even the sickest and infectious patients, early in the pandemic.”

Many of the patients admitted to hospital early in the pandemic reported fatigue, breathlessness and chest pain as troubling long-lasting symptoms. ̽��ֱ��researchers hypothesised these symptoms were in part the result of damage to key brainstem nuclei, damage which persists long after Covid-19 infection has passed.

̽��ֱ��researchers saw that multiple regions of the brainstem, in particular the medulla oblongata, pons and midbrain, showed abnormalities consistent with a neuroinflammatory response. ̽��ֱ��abnormalities appeared several weeks after hospital admission, and in regions of the brain responsible for controlling breathing.

“ ̽��ֱ��fact that we see abnormalities in the parts of the brain associated with breathing strongly suggests that long-lasting symptoms are an effect of inflammation in the brainstem following Covid-19 infection,” said Rua. “These effects are over and above the effects of age and gender, and are more pronounced in those who had had severe Covid-19.”

In addition to the physical effects of Covid-19, the 7T scanners provided evidence of some of the psychiatric effects of the disease. ̽��ֱ��brainstem monitors breathlessness, as well as fatigue and anxiety. “Mental health is intimately connected to brain health, and patients with the most marked immune response also showed higher levels of depression and anxiety,” said Rowe. “Changes in the brainstem caused by Covid-19 infection could also lead to poor mental health outcomes, because of the tight connection between physical and mental health.”

̽��ֱ��researchers say the results could aid in the understanding of other conditions associated with inflammation of the brainstem, like MS and dementia. ̽��ֱ��7T scanners could also be used to monitor the effectiveness of different treatments for brain diseases.

“This was an incredible collaboration, right at the peak of the pandemic, when testing was very difficult, and I was amazed how well the 7T scanners worked,” said Rua. “I was really impressed with how, in the heat of the moment, the collaboration between lots of different researchers came together so effectively.”

̽��ֱ��research was supported in part by the NIHR Cambridge Biomedical Research Centre, the NIHR Oxford Biomedical Research Centre, and the ̽��ֱ�� of Oxford COVID Medical Sciences Division Rapid Response Fund.

Reference:
Catarina Rua et al. ‘7-Tesla quantitative susceptibility mapping in COVID-19: brainstem effects and outcome associations.’ Brain (2024). DOI: 10.1093/brain/awae215

Damage to the brainstem – the brain’s ‘control centre’ – is behind long-lasting physical and psychiatric effects of severe Covid-19 infection, a study suggests.

̽��ֱ�� of Cambridge

3D projections of QSM maps on the rendered brainstem

Yes

First map of every neuron in an adult fly brain complete

jg533 — Wed, 02 Oct 2024 15:04:57 +0000

This landmark achievement has been conducted by the FlyWire Consortium, a large international collaboration including researchers from the ̽��ֱ�� of Cambridge, the MRC Laboratory of Molecular Biology in Cambridge, Princeton ̽��ֱ��, and the ̽��ֱ�� of Vermont. It is published today in two papers in the journal Nature.

̽��ֱ��diagram of all 139,255 neurons in the adult fly brain is the first of an entire brain for an animal that can walk and see. Previous efforts have completed the whole brain diagrams for much smaller brains, for example a fruit fly larva which has 3,016 neurons, and a nematode worm which has 302 neurons.

̽��ֱ��researchers say the whole fly brain map is a key first step to completing larger brains. Since the fruit fly is a common tool in research, its brain map can be used to advance our understanding of how neural circuits work.

Dr Gregory Jefferis, from the ̽��ֱ�� of Cambridge and the MRC Laboratory of Molecular Biology, one of the co-leaders of the research, said: “If we want to understand how the brain works, we need a mechanistic understanding of how all the neurons fit together and let you think. For most brains we have no idea how these networks function.

“Flies can do all kinds of complicated things like walk, fly, navigate, and the males sing to the females. Brain wiring diagrams are a first step towards understanding everything we’re interested in – how we control our movement, answer the telephone, or recognise a friend.”

Dr Mala Murthy from Princeton ̽��ֱ��, one of the co-leaders of the research, said: “We have made the entire database open and freely available to all researchers. We hope this will be transformative for neuroscientists trying to better understand how a healthy brain works. In the future we hope that it will be possible to compare what happens when things go wrong in our brains, for example in mental health conditions.”

Dr Marta Costa from the ̽��ֱ�� of Cambridge, who was also involved in the research, said “This brain map, the biggest so far, has only been possible thanks to technical advances that didn’t seem possible ten years ago. It is a true testament to the way that innovation can drive research forward. ̽��ֱ��next steps will be to generate even bigger maps, such as a mouse brain, and ultimately, a human one.”

̽��ֱ��scientists found that there were substantial similarities between the wiring in this map and previous smaller-scale efforts to map out parts of the fly brain. This led the researchers to conclude that there are many similarities in wiring between individual brains – that each brain isn’t a unique structure.

When comparing their brain diagram to previous diagrams of small areas of the brain, the researchers also found that about 0.5% of neurons have developmental variations that could cause connections between neurons to be mis-wired. ̽��ֱ��researchers say it will be important to understand, through future research, if these changes are linked to individuality or brain disorders.

Making the map

3D rendering of all 140,000 neurons in the fruit fly brain.

3D rendering of all ~140k neurons in the fruit fly brain. Credit: Data source FlyWire.ai; Rendering by Philipp Schlegel ( ̽��ֱ�� of Cambridge/MRC LMB).

A whole fly brain is less than one millimetre wide. ̽��ֱ��researchers started with one female brain cut into seven thousand slices, each only 40 nanometres thick, that were previously scanned using high resolution electron microscopy in the laboratory of project co-leader Davi Bock at Janelia Research Campus in the US.

Analysing over 100 terabytes of image data (equivalent to the storage in 100 typical laptops) to extract the shapes of about 140,000 neurons and 50 million connections between them is too big a challenge for humans to complete manually. ̽��ֱ��researchers built on AI developed at Princeton ̽��ֱ�� to identify and map neurons and their connections to each other.

However, the AI still makes many errors in datasets of this size. ̽��ֱ��Princeton ̽��ֱ�� researchers established the FlyWire Consortium – made up of teams in more than 76 laboratories and 287 researchers around the world, as well as volunteers from the general public – which spent an estimated 33 person-years painstakingly proofreading all the data.

Dr Sebastian Seung, from Princeton ̽��ֱ��, who was one of the co-leaders of the research, said: “Mapping the whole brain has been made possible by advances in AI computing - it would have not been possible to reconstruct the entire wiring diagram manually. This is a display of how AI can move neuroscience forward. ̽��ֱ��fly brain is a milestone on our way to reconstructing a wiring diagram of a whole mouse brain.”

̽��ֱ��researchers also annotated many details on the wiring diagram, such as classifying more than 8,000 cell types across the brain. This allows researchers to select particular systems within the brain for further study, such as the neurons involved in sight or movement.

Dr Philipp Schlegel, the first author of one of the studies, from the MRC Laboratory of Molecular Biology, said: “This dataset is a bit like Google Maps but for brains: the raw wiring diagram between neurons is like knowing which structures on satellite images of the Earth correspond to streets and buildings. Annotating neurons is like adding the names for streets and towns, business opening times, phone numbers and reviews to the map – you need both for it to be really useful.”

Simulating brain function

This is also the first whole brain wiring map – often called a connectome – to predict the function of all the connections between neurons.

Neurons use electrical signals to send messages. Each neuron can have hundreds of branches that connect it to other neurons. ̽��ֱ��points where these branches meet and transmit signals between neurons are called synapses. There are two main ways that neurons communicate across synapses: excitatory (which promotes the continuation of the electrical signal in the receiving neuron), or inhibitory (which reduces the likelihood that the next neuron will transmit signals).

Researchers from the team used AI image scanning technology to predict whether each synapse was inhibitory or excitatory.

Dr Gregory Jefferis added: “To begin to simulate the brain digitally, we need to know not only the structure of the brain, but also how the neurons function to turn each other on and off.”

“Using our data, which has been shared online as we worked, other scientists have already started trying to simulate how the fly brain responds to the outside world. This is an important start, but we will need to collect many different kinds of data to produce reliable simulations of how a brain functions.”

Associate Professor Davi Bock, one of the co-leaders of the research from the ̽��ֱ�� of Vermont, said: “ ̽��ֱ��hyper-detail of electron microscopy data creates its own challenges, especially at scale. This team wrote sophisticated software algorithms to identify patterns of cell structure and connectivity within all that detail.

“We now can make precise synaptic level maps and use these to better understand cell types and circuit structure at whole-brain scale. This will inevitably lead to a deeper understanding of how nervous systems process, store and recall information. I think this approach points the way forward for the analysis of future whole-brain connectomes, in the fly as well as in other species."

This research was conducted using a female fly brain. Since there are differences in neuronal structure between male and female fly brains, the researchers also plan to characterise a male brain in the future.

̽��ֱ��principal funders were the National Institutes of Health BRAIN Initiative, Wellcome, Medical Research Council, Princeton ̽��ֱ�� and National Science Foundation.

References

Schlegel, P. et al: Whole-brain annotation and multi-connectome cell typing of Drosophila. Nature, Oct 2024. DOI: 10.1038/s41586-024-07686-5

Dorkenwald, S. et al: Neuronal wiring diagram of an adult brain. Nature, Oct 2024. DOI: 10.1038/s41586-024-07558-y

̽��ֱ��first wiring diagram of every neuron in an adult brain and the 50 million connections between them has been produced for a fruit fly.

Brain wiring diagrams are a first step towards understanding everything we’re interested in – how we control our movement, answer the telephone, or recognise a friend.

Gregory Jefferis

̽��ֱ��first complete map of every neuron in an adult fly brain.

FlyWire.ai; Rendering by Philipp Schlegel ( ̽��ֱ�� of Cambridge/MRC LMB).

3D rendering of all 140,000 neurons in the adult fruit fly brain.

Yes

Licence type:

Attribution-Noncommerical