Brain States, Real Care
Built by Vishal Chandupatla. NeuroState Lab is my personal research space exploring computational neuroscience and neurotechnology, from EEG and seizures to brain-aware tools that support mental health and better products.
The Problem is Real & Urgent
These aren't just statistics — they're real patients facing delays, misdiagnosis, and unnecessary suffering.
Children with absence epilepsy are initially misdiagnosed
Of ICU patients have non-convulsive seizures that go undetected
Average delay in proper diagnosis for absence epilepsy
Sources: Epilepsia, JAMA Neurology, Pediatric Neurology research literature
Real Scenarios, Real Impact
These are the stories that drive this work — real patients and families navigating complex neurological challenges.
The "Daydreaming" Student
"Teachers kept saying she wasn't paying attention. We thought it was behavioral. Turns out, she was having 40+ seizures per day.
Outcome: Diagnosed after 18 months
The ICU Mystery
"Patient wasn't waking up post-surgery. Continuous EEG revealed non-convulsive status epilepticus — invisible seizures causing the unresponsiveness.
Outcome: Caught only after 72 hours of monitoring
The Medication Struggle
"The seizures stopped, but I couldn't think straight. Felt like living in a fog. Had to choose between seizure control and being able to work.
Outcome: Took 3 med adjustments over 8 months
These delays are preventable. With better tools to detect patterns earlier, we can help clinicians catch these conditions faster and get patients the right treatment sooner.
Current Focus: AbsenceLens
An AI-assisted EEG pre-screening tool for children with possible absence epilepsy — kids who seem distracted or daydreaming but may actually be having brief seizures.
Problem
Many kids with absence seizures are mislabeled as lazy or having ADHD, delaying proper treatment.
Goal
Help neurologists quickly spot typical absence patterns (3 Hz spike-and-wave) in EEG recordings.
Tech
Python, MNE, signal processing, ML classifiers, interpretability.
What I'm Exploring
Three interconnected areas where computational neuroscience meets real clinical need.
Brain Signals & States
EEG, seizure patterns, ICU brain monitoring, and how different brain states show up in data.
Clinical Neurotech
Working on tools that fit into real neurology workflows — not science fiction, but EEG labs, pediatric epilepsy, ICU, and surgical planning.
Mental Health & Behavior
Long-term, using brain & behavior models to support healthier routines, reduce depression and addiction, and help health-focused products respect the mind.
Why Now?
- EEG datasets are now publicly available
- ML tools can detect subtle patterns humans miss
- Clinicians are overwhelmed and need better tools
- The cost of misdiagnosis is too high
The Technology Exists.
The Will Must Follow.
We have powerful signal processing algorithms, large EEG datasets, and ML models that can detect patterns in milliseconds. What's missing is the bridge between these capabilities and real clinical workflows.
NeuroState Lab exists to build that bridge. Not through hype or shortcuts, but through careful research, rigorous testing, and collaboration with the clinicians who understand these problems intimately.
This isn't about replacing doctors — it's about giving them better tools so they can focus on what they do best: caring for patients.
From Clinic to Code
A methodical approach to building neurotechnology that actually helps.
Listen to real problems
Misdiagnosed seizures, missed ICU events, med side-effects.
Model brain & behavior
EEG patterns, state transitions, cognitive impact.
Build & test tools
Prototypes like AbsenceLens, ICU seizure detectors, med-tuning helpers.
Share openly
Blog posts, code, and explainers on what works and what doesn't.
Latest from the Brain Log
Thoughts, lessons, and progress updates from the lab.
Why I Started NeuroState Lab
The story behind building a personal lab for computational neuroscience and what I hope to achieve.
What Are Absence Seizures, Really?
Understanding the clinical presentation, EEG signatures, and why these seizures are so often missed in children.
My First EEG Pipeline (And What Went Wrong)
Lessons learned from building my first signal processing pipeline for detecting spike-and-wave patterns.
Mission & Values
Building technology that serves people, not exploits them.
Building for:
- Clinicians trying to understand patients better
- Health-focused products that respect user well-being
- People suffering from epilepsy, depression, addiction, burnout
Follow the Journey
I'm documenting everything openly — the wins, the failures, the lessons learned. If you're interested in computational neuroscience, ethical AI, or building tools that actually help people, you might find this useful.
Are you a clinician, researcher, or builder?
I'd love to hear from you. Reach out at hello@neurostatelab.com