Kernel

Date: Tuesday, November 11, 2025
Time: 8:00 AM – 12:00 PM local time
Location: Pacific C Ballroom
Registration: neuro.embs.org/2025/registr...

Our CEO will be at @onemindorg.bsky.social's workshop - Frontiers in Neuroengineering and Psychiatry: Translating Research and Innovation into Real World Impact (@embs.org)

Join to hear him chat with Sam Tabone and @arianetom.bsky.social about company creation in the #neuropsychiatry space.

🗣️ #Neurotech Leaders Forum is coming up! Join moderator @jojoplatt.bsky.social (Neurotech Reports) & panelists Ryan Field (Kernel), Christian Howell (Cognito Therapeutics) & Kazu Okuda (Universal Brain) as they examine the market potential for consumer neurotech and digital health.

11/6 @ 11:15am

📄 We are sharing our work at @cnssummit.bsky.social in Boston next week! If you plan to attend, don’t miss our poster – Developing a brain-based metric of depression severity using portable brain measurement.

🧠 Attending #HLTHUSA next week? Schedule your Brain Age scan here: calendar.app.google/QrLNFit2vmyZ...

#brainhealth #cognition #neuroscience

👀 Kernel’s latest newsletter is out, covering some exciting updates and our latest product launch! www.kernel.com/newsletter/2...

Want to receive future updates in your inbox? Subscribe here: www.kernel.com/contact#news...

It's officially fall and Kernel is on the move! First stop: Amsterdam for the #ISCTM Autumn Conference.

You can find our CEO, Ryan Field, at the poster session & reception on Oct. 10 from 6:00 - 7:30 p.m. presenting our latest work on #depression severity monitoring in #clinicaltrials.

🌎 Kernel is proud to sponsor the third edition of the Neuroscience of the Everyday World Conference, hosted by @bostonu.bsky.social and @cheninstitute.bsky.social.

🧠 Tune in to hear Katherine Perdue on the Neurotechnology Panel – Monday, July 28th at 2:00 p.m. EDT.

A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS - npj Dementia npj Dementia - A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS

📖 Read the full paper here → www.nature.com/articles/s44...

🧠 We are now adding more cognitive domains to the assessment and testing the algorithm in a large group of individuals.

Interested in building with us? Please reach out!

📈 We used our Flow2 measurement system to record brain data during language and memory tasks, and built a machine learning classifier to assign each participant a single score encapsulating their likelihood of having a current MCI diagnosis.

✍️ Kernel just published a study in NPJ Dementia (@natureportfolio.nature.com‬) demonstrating the ability to distinguish MCI patients from healthy age-matched controls.

Using 15 minutes of brain scans, behavioral data, and a short survey, we were able to classify MCI with an AUC=0.92!

🧠 Chronological age is out. BrainAge is in.

Measure your BrainAge in just 7 minutes with Kernel’s advanced neuroimaging system.

📍 Now available in Los Angeles (more locations coming soon)
✨ Limited-time early bird offer available - $24.99

🔗 kernel.com/brainage

If you missed Kernel's latest poster at #SOBP2025 last month, you have a chance to catch it at #APAAM25 this month!

🧠 Developing a Treatment Decision-Making Aid for Major Depressive Disorder Using Functional Brain Measures

📅 Sat 5/17 1:30-3pm

📍 Exhibit Hall, LACC

@apapsychiatric.bsky.social

🇨🇦 If you’re planning to be in Toronto for the #SOBP2025 annual meeting, be sure to stop by Kernel’s poster session!

🧠 We will be presenting the results of our PREDICT study (Prediction of REsponse to #Depression Interventions Using Clinical and TD-fNIRS Measurements).

✍️ Kernel published a study in Imaging Neuroscience from @mitpress.bsky.social that describes our Flow2 technology for measuring cortical brain metrics. The combination of good system performance, low cost, and easy-to-use form factor of Flow2 is unprecedented.

direct.mit.edu/imag/article...

YouTube video by StartUp Health Kernel Flow Headset Provides an Affordable, Scalable, and Portable 10-Minute Brain Scan

Looking back to late 2024, #HLTH reminded us to “BE BOLD.” Ryan Field sat down with Logan Plaster to talk about how @kernelneuro.bsky.social is doing just that.

Thank you to StartUp Health for sharing our story! 📺 www.youtube.com/watch?v=g6UG...

ICYMI
🧠 Read here → www.kernel.com/newsletter/2...
📥 Subscribe here → www.kernel.com#newsletter

ICYMI: Kernel’s Q3 Recap

🧠 Read here → www.kernel.com/newsletter/2...
📥 Subscribe here → www.kernel.com#newsletter

Stay tuned for more exciting news from @kernelneuro.bsky.social!

Special thanks to co-authors: J. Dubois, J. Duffy, R. Field, E. Koch, Z. Aghajan, N. Miller, K. Perdue, G. Sahagian, M. Taylor

Moving forward, we hope this approach can be used to help patients with MCI get the care they need to preserve their cognition by providing quantitative and timely assessments of brain functioning. Early identification of MCI will support the fight to end Alzheimer's! #ENDALZ

Our machine learning model for classifying if an individual is likely to have MCI had excellent performance with 85% accuracy, 80% sensitivity and 90% specificity. This is better performance than current standard screening tools used in clinical practice.

We combine patterns of brain activation with the task performance and a simple questionnaire into a machine learning model that classifies subjects as either being healthy or having MCI.

However, to be clinically relevant, we need to be looking at individuals and not groups. This is where machine learning comes in!

We also found that there were differences in brain activity between the two groups during both the memory (a) and language (b) challenges. Red regions indicate more brain activity in the HC group while blue indicates more in the MCI group.

We found for both the memory and language challenges, performance was different between the MCI and HC groups. This makes sense because cognitive testing performance is commonly used to diagnose MCI.

In our study, MCI patients (MCI, n=50) and age-matched healthy controls (HC, n=51) completed language and memory cognitive tasks while their brains were measured with the Flow2 TD-fNIRS system. This is similar to a stress test for the brain that takes about <15 minutes.

Mild cognitive impairment (MCI) affects a large and growing number of Americans, and most are not diagnosed. Missed diagnoses rob patients of the opportunity to preserve their cognition and delay progression to dementia. How can we identify these patients earlier?

What if we could use short brain scans to quantify cognition at point-of-care clinics for patients at risk of Alzheimer’s? Like an EKG measures the heart under stress, measuring the brain during cognitive tasks provides additional information. A thread 🧵:

A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS INTRODUCTION Diagnostic assessments of mild cognitive impairment (MCI) are lengthy and burdensome, highlighting the need for new tools to detect MCI. Time-domain functional near-infrared spectroscopy ...

A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS