Science for every brain
We run longitudinal studies that measure how the brain actually changes over time, and turn that research into brain measurement anyone can trust.
LUCID gives us something rare in neuroscience: a brain measurement stable enough to trust, and sensitive enough to notice what actually changes.
Professor Simon Schultz
Scientific Advisor, Connectome
Our Approach
Measuring the brain the way it actually behaves: over time, not in a single snapshot
Most brain health tools rely on a one-off scan or a single test. But cognition isn't static; it shifts with sleep, stress, age, and daily life. Connectome runs longitudinal studies that combine wearable-grade brain imaging with real-world lifestyle data, so we can tell the difference between everyday fluctuation and change that actually matters.
Longitudinal by design
We track individuals over multiple sessions to build within-person baselines, not one-size-fits-all norms.
Validated, wearable-grade measurement
Our studies use time-domain fNIRS, lab-calibre brain imaging that's light, non-invasive, and scalable outside a hospital setting.
Peer-reviewed, transparent research
Every finding is published and open to scrutiny. Our first study, LUCID, is now available as a preprint.
Our Studies
Discover our pioneering studies
Our studies are a collection of rigorously designed trials in collaboration with Imperial College London that have helped us to understand and predict how everyday lifestyle factors shape brain performance over time, so we can all move beyond a "one-size-fits-all" approach to brain health and performance.
The LUCID Study
A longitudinal study of 92 healthy adults combining wearable sleep and activity data with task-evoked brain imaging of the dorsolateral prefrontal cortex (dlPFC), the region behind focus, working memory, and decision-making. LUCID established that dlPFC activation is a stable, individual marker that predicts reaction time and reflects both age and lifestyle.
The ADHD Study
Run with Imperial College London, this study looks at how sleep, activity, and stress shape brain performance and cognitive health in adults with ADHD.
Research Updates
Latest published research from Connectome
We publish our findings openly, as preprints and peer-reviewed papers, so the science behind Connectome can be checked, challenged, and built on.
June 2026 · bioRxiv preprint
Prefrontal activation predicts response latency and is shaped by age and lifestyle
Our LUCID study found that prefrontal cortex activation, measured non-invasively with wearable-grade brain imaging, reliably predicts how fast someone responds on cognitive tasks, is stable enough to track over time, and is shaped by age, sleep, and physical activity.
Read the full preprint →Our Scientists
Meet the people behind our research
Connectome's science is led by neuroscientists, clinicians, and engineers from Imperial College London and beyond, the same team behind the LUCID and ADHD studies.
Professor Simon R. Schultz, PhD
Principal Investigator · Scientific Advisor, Connectome
Professor of Neurotechnology at Imperial College London, where he directs the Centre for Neurotechnology. He's Principal Investigator on the LUCID and ADHD studies.
Rufus Mitchell-Heggs, PhD
Co-Founder & Chief Scientific Officer
Co-founded Connectome to bring lab-grade brain measurement into everyday life. He leads Connectome's science and co-authored the LUCID study.
Anita Snowdon-Farrell, PhD
Clinical Operations
Leads clinical operations at Connectome, running studies including LUCID and the ADHD Study. She was a co-author on the LUCID preprint.
Daniel Tamkin, MSc
Research Engineer (Machine Learning)
Builds the machine learning systems that turn brain and wearable data into reliable measures. He co-authored the LUCID study.
Dr. Onayomi Rosenior-Patten, MD
Health Data Scientist & Medical Researcher
Bridges clinical medicine and data science at Connectome. She was a co-author on the LUCID study.
Robert Peach, PhD
Scientific Advisor
Researcher in AI, neuroscience, and complex systems at Imperial College London and University Hospital Würzburg, applying deep learning to brain connectivity.
Stay up to date with Connectome
You'll receive our ongoing science and nutrition emails, plus news and offers.
Science for every brain
We run longitudinal studies that measure how the brain actually changes over time, and turn that research into brain measurement anyone can trust.
LUCID gives us something rare in neuroscience: a brain measurement stable enough to trust, and sensitive enough to notice what actually changes.
Professor Simon Schultz
Scientific Advisor, Connectome
Our Approach
Measuring the brain the way it actually behaves: over time, not in a single snapshot
Most brain health tools rely on a one-off scan or a single test. But cognition isn't static; it shifts with sleep, stress, age, and daily life. Connectome runs longitudinal studies that combine wearable-grade brain imaging with real-world lifestyle data, so we can tell the difference between everyday fluctuation and change that actually matters.
Longitudinal by design
We track individuals over multiple sessions to build within-person baselines, not one-size-fits-all norms.
Validated, wearable-grade measurement
Our studies use time-domain fNIRS, lab-calibre brain imaging that's light, non-invasive, and scalable outside a hospital setting.
Peer-reviewed, transparent research
Every finding is published and open to scrutiny. Our first study, LUCID, is now available as a preprint.
Our Studies
Discover our pioneering studies
Our studies are a collection of rigorously designed trials in collaboration with Imperial College London that have helped us to understand and predict how everyday lifestyle factors shape brain performance over time, so we can all move beyond a "one-size-fits-all" approach to brain health and performance.
The LUCID Study
A longitudinal study of 92 healthy adults combining wearable sleep and activity data with task-evoked brain imaging of the dorsolateral prefrontal cortex (dlPFC), the region behind focus, working memory, and decision-making. LUCID established that dlPFC activation is a stable, individual marker that predicts reaction time and reflects both age and lifestyle.
The ADHD Study
Run with Imperial College London, this study looks at how sleep, activity, and stress shape brain performance and cognitive health in adults with ADHD.
Research Updates
Latest published research from Connectome
We publish our findings openly, as preprints and peer-reviewed papers, so the science behind Connectome can be checked, challenged, and built on.
June 2026 · bioRxiv preprint
Prefrontal activation predicts response latency and is shaped by age and lifestyle
Our LUCID study found that prefrontal cortex activation, measured non-invasively with wearable-grade brain imaging, reliably predicts how fast someone responds on cognitive tasks, is stable enough to track over time, and is shaped by age, sleep, and physical activity.
Read the full preprint →Our Scientists
Meet the people behind our research
Connectome's science is led by neuroscientists, clinicians, and engineers from Imperial College London and beyond, the same team behind the LUCID and ADHD studies.
Professor Simon R. Schultz, PhD
Principal Investigator · Scientific Advisor, Connectome
Professor of Neurotechnology at Imperial College London, where he directs the Centre for Neurotechnology. He's Principal Investigator on the LUCID and ADHD studies.
Rufus Mitchell-Heggs, PhD
Co-Founder & Chief Scientific Officer
Co-founded Connectome to bring lab-grade brain measurement into everyday life. He leads Connectome's science and co-authored the LUCID study.
Anita Snowdon-Farrell, PhD
Clinical Operations
Leads clinical operations at Connectome, running studies including LUCID and the ADHD Study. She was a co-author on the LUCID preprint.
Daniel Tamkin, MSc
Research Engineer (Machine Learning)
Builds the machine learning systems that turn brain and wearable data into reliable measures. He co-authored the LUCID study.
Dr. Onayomi Rosenior-Patten, MD
Health Data Scientist & Medical Researcher
Bridges clinical medicine and data science at Connectome. She was a co-author on the LUCID study.
Robert Peach, PhD
Scientific Advisor
Researcher in AI, neuroscience, and complex systems at Imperial College London and University Hospital Würzburg, applying deep learning to brain connectivity.
Stay up to date with Connectome
You'll receive our ongoing science and nutrition emails, plus news and offers.
Science for every brain
We run longitudinal studies that measure how the brain actually changes over time, and turn that research into brain measurement anyone can trust.
LUCID gives us something rare in neuroscience: a brain measurement stable enough to trust, and sensitive enough to notice what actually changes.
Professor Simon Schultz
Scientific Advisor, Connectome
Our Approach
Measuring the brain the way it actually behaves: over time, not in a single snapshot
Most brain health tools rely on a one-off scan or a single test. But cognition isn't static; it shifts with sleep, stress, age, and daily life. Connectome runs longitudinal studies that combine wearable-grade brain imaging with real-world lifestyle data, so we can tell the difference between everyday fluctuation and change that actually matters.
Longitudinal by design
We track individuals over multiple sessions to build within-person baselines, not one-size-fits-all norms.
Validated, wearable-grade measurement
Our studies use time-domain fNIRS, lab-calibre brain imaging that's light, non-invasive, and scalable outside a hospital setting.
Peer-reviewed, transparent research
Every finding is published and open to scrutiny. Our first study, LUCID, is now available as a preprint.
Our Studies
Discover our pioneering studies
Our studies are a collection of rigorously designed trials in collaboration with Imperial College London that have helped us to understand and predict how everyday lifestyle factors shape brain performance over time, so we can all move beyond a "one-size-fits-all" approach to brain health and performance.
The LUCID Study
A longitudinal study of 92 healthy adults combining wearable sleep and activity data with task-evoked brain imaging of the dorsolateral prefrontal cortex (dlPFC), the region behind focus, working memory, and decision-making. LUCID established that dlPFC activation is a stable, individual marker that predicts reaction time and reflects both age and lifestyle.
The ADHD Study
Run with Imperial College London, this study looks at how sleep, activity, and stress shape brain performance and cognitive health in adults with ADHD.
Research Updates
Latest published research from Connectome
We publish our findings openly, as preprints and peer-reviewed papers, so the science behind Connectome can be checked, challenged, and built on.
June 2026 · bioRxiv preprint
Prefrontal activation predicts response latency and is shaped by age and lifestyle
Our LUCID study found that prefrontal cortex activation, measured non-invasively with wearable-grade brain imaging, reliably predicts how fast someone responds on cognitive tasks, is stable enough to track over time, and is shaped by age, sleep, and physical activity.
Read the full preprint →Our Scientists
Meet the people behind our research
Connectome's science is led by neuroscientists, clinicians, and engineers from Imperial College London and beyond, the same team behind the LUCID and ADHD studies.
Professor Simon R. Schultz, PhD
Principal Investigator · Scientific Advisor, Connectome
Professor of Neurotechnology at Imperial College London, where he directs the Centre for Neurotechnology. He's Principal Investigator on the LUCID and ADHD studies.
Rufus Mitchell-Heggs, PhD
Co-Founder & Chief Scientific Officer
Co-founded Connectome to bring lab-grade brain measurement into everyday life. He leads Connectome's science and co-authored the LUCID study.
Anita Snowdon-Farrell, PhD
Clinical Operations
Leads clinical operations at Connectome, running studies including LUCID and the ADHD Study. She was a co-author on the LUCID preprint.
Daniel Tamkin, MSc
Research Engineer (Machine Learning)
Builds the machine learning systems that turn brain and wearable data into reliable measures. He co-authored the LUCID study.
Dr. Onayomi Rosenior-Patten, MD
Health Data Scientist & Medical Researcher
Bridges clinical medicine and data science at Connectome. She was a co-author on the LUCID study.
Robert Peach, PhD
Scientific Advisor
Researcher in AI, neuroscience, and complex systems at Imperial College London and University Hospital Würzburg, applying deep learning to brain connectivity.
Stay up to date with Connectome
You'll receive our ongoing science and nutrition emails, plus news and offers.
Science for every brain
We run longitudinal studies that measure how the brain actually changes over time, and turn that research into brain measurement anyone can trust.
LUCID gives us something rare in neuroscience: a brain measurement stable enough to trust, and sensitive enough to notice what actually changes.
Professor Simon Schultz
Scientific Advisor, Connectome
Our Approach
Measuring the brain the way it actually behaves: over time, not in a single snapshot
Most brain health tools rely on a one-off scan or a single test. But cognition isn't static; it shifts with sleep, stress, age, and daily life. Connectome runs longitudinal studies that combine wearable-grade brain imaging with real-world lifestyle data, so we can tell the difference between everyday fluctuation and change that actually matters.
Longitudinal by design
We track individuals over multiple sessions to build within-person baselines, not one-size-fits-all norms.
Validated, wearable-grade measurement
Our studies use time-domain fNIRS, lab-calibre brain imaging that's light, non-invasive, and scalable outside a hospital setting.
Peer-reviewed, transparent research
Every finding is published and open to scrutiny. Our first study, LUCID, is now available as a preprint.
Our Studies
Discover our pioneering studies
Our studies are a collection of rigorously designed trials in collaboration with Imperial College London that have helped us to understand and predict how everyday lifestyle factors shape brain performance over time, so we can all move beyond a "one-size-fits-all" approach to brain health and performance.
The LUCID Study
A longitudinal study of 92 healthy adults combining wearable sleep and activity data with task-evoked brain imaging of the dorsolateral prefrontal cortex (dlPFC), the region behind focus, working memory, and decision-making. LUCID established that dlPFC activation is a stable, individual marker that predicts reaction time and reflects both age and lifestyle.
The ADHD Study
Run with Imperial College London, this study looks at how sleep, activity, and stress shape brain performance and cognitive health in adults with ADHD.
Research Updates
Latest published research from Connectome
We publish our findings openly, as preprints and peer-reviewed papers, so the science behind Connectome can be checked, challenged, and built on.
June 2026 · bioRxiv preprint
Prefrontal activation predicts response latency and is shaped by age and lifestyle
Our LUCID study found that prefrontal cortex activation, measured non-invasively with wearable-grade brain imaging, reliably predicts how fast someone responds on cognitive tasks, is stable enough to track over time, and is shaped by age, sleep, and physical activity.
Read the full preprint →Our Scientists
Meet the people behind our research
Connectome's science is led by neuroscientists, clinicians, and engineers from Imperial College London and beyond, the same team behind the LUCID and ADHD studies.
Professor Simon R. Schultz, PhD
Principal Investigator · Scientific Advisor, Connectome
Professor of Neurotechnology at Imperial College London, where he directs the Centre for Neurotechnology. He's Principal Investigator on the LUCID and ADHD studies.
Rufus Mitchell-Heggs, PhD
Co-Founder & Chief Scientific Officer
Co-founded Connectome to bring lab-grade brain measurement into everyday life. He leads Connectome's science and co-authored the LUCID study.
Anita Snowdon-Farrell, PhD
Clinical Operations
Leads clinical operations at Connectome, running studies including LUCID and the ADHD Study. She was a co-author on the LUCID preprint.
Daniel Tamkin, MSc
Research Engineer (Machine Learning)
Builds the machine learning systems that turn brain and wearable data into reliable measures. He co-authored the LUCID study.
Dr. Onayomi Rosenior-Patten, MD
Health Data Scientist & Medical Researcher
Bridges clinical medicine and data science at Connectome. She was a co-author on the LUCID study.
Robert Peach, PhD
Scientific Advisor
Researcher in AI, neuroscience, and complex systems at Imperial College London and University Hospital Würzburg, applying deep learning to brain connectivity.
Stay up to date with Connectome
You'll receive our ongoing science and nutrition emails, plus news and offers.