Could reaction speed be the missing metric for brain health?

Dexter Ang shares how wrist-based neurotechnology quantifies cognition, personalizes interventions, & supports long-term mental performance for executives & elite performers.

Meet our guest

Dexter Ang is the co-founder & CEO of Pison Technology, developing wearable neuromuscular sensing & nervous system interfaces. Inspired by caring for his mother after her ALS diagnosis, he returned to MIT to build sensors that translate wrist biopotentials into digital commands. His work bridges human biology & digital systems across assistive technology, robotics, IoT & defense.

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Key takeaways

Almost everyone operates at only 60–70% of their brain’s true potential due to low awareness
Wrist sensors accurately measure cognitive state & nervous system signals without head worn devices
NASA & clinical science use reaction time as the gold standard for measuring cognitive function, readiness, & risk
Processing speed, inhibition, & agility are distinct cognitive dimensions, each revealing different aspects of brain health & decision making
Reaction time biofeedback training produces measurable gains in attention, discipline, & mood regulation
Individual responses vary widely, making personalized protocols far more effective than general advice
Strong cognitive performance depends on quality sleep, consistent routines, & circadian rhythm discipline
Caffeine improves alertness but often worsens decision inhibition, with effects varying by person & task
Knowing personal cognitive highs & lows helps time important work & decisions for peak performance
Processing speed training lowers dementia risk & strengthens long term brain resilience more than memory games

Episode highlights

00:00 Measure Brain Performance with Real World Signals

01:20 Turn Personal Adversity into Cognitive Innovation

03:05 Use Reaction Time as a Core Brain Health Biomarker

07:54Train Cognition Through Feedback not Guesswork

14:02 Apply Cognitive Data to Performance & Resilience

33:58 Integrate Neural Data into Personalized Experimentation

Links

Watch it on YouTube: https://youtu.be/OAvyoLfz5uk
Full episode show notes: outliyr.com/244

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