Isometric Training and Brain Rewiring: A Surfer's Perspective

Everyday Actions, Deep #Brain Connections: #NYCU Study Uncovers How #Chewing and #Swallowing Engage the Human #Mind What if every bite of rice or sip of water was more than just a reflex? Researchers from the National Yang Ming Chiao Tung University (NYCU) have discovered that these seemingly mundane actions—chewing and swallowing—are intricately linked to the brain’s complex neural networks. In two recently published studies in the Journal of Oral Rehabilitation, NYCU’s Department of Dentistry and Magnetic Resonance Imaging (MRI) Core Laboratory reveal that these everyday functions are not just mechanical—they reflect and rely on distinct neural pathways in the brain, particularly in relation to aging and cognitive adaptation. For continuous reading: https://lnkd.in/gqPazBEx

New research identifies Galectin-3 as a key regulator of neural development, establishing its contribution to brain growth. Learn more in this week’s issue of #ScienceAdvances: https://scim.ag/3I8U1YK

Scientists discovered that the heart has over 40,000 neurons, creating its own neural network that communicates directly with the brain. In fact, around 80% of vagus nerve signals go from the heart to the brain, influencing thoughts, emotions, and decisions. This field, known as neurocardiology, shows the heart is more than just a pump—it’s an intelligent organ shaping human choices for millions of years. Source: https://lnkd.in/dwvqZeSj

Excited to announce that our new paper has just been published in the Journal of Neural Engineering! Combining Transcranial Magnetic Stimulation (TMS) with EEG gives us a unique window into how the brain responds to stimulation in real time. But there’s a big problem: the TMS pulse creates massive artifacts that can completely drown out the real brain signals — especially outside the motor cortex. We developed an online artifact suppression method based on Independent Component Analysis (ICA). By training ICA on a short set of pre-experimental trials and then applying it in real time, we can rapidly clean TMS-EEG data and recover reliable brain responses (TEPs) within miliseconds. Why it matters: * Enables closed-loop TMS-EEG — stimulation that adapts online to the brain’s current state. * Extends artifact-free signal recovery beyond the motor cortex to frontal and occipital regions. * Moves us closer to personalized, brain-state–dependent neurostimulation. I’m truly grateful to my co-authors — Alan Chauvin, Ronald Phlypo, Olivier David, and Sylvain Harquel for their collaboration and support throughout this project. Read more here: https://lnkd.in/eeh4Wfbc

Cracking the Wave–Particle Code of the Brain For over 100 years, neuroscience has been constrained by the “spike model”—reducing action potentials to digital blips. The ECEPJ Model redefines this: neurons are not switches. They are capacitor lattices, storing and releasing energy across 3D dielectric layers of myelin. • Waves = field patterns, analog, infinite, orchestrating thought like harmonics. • Particles = neurotransmitters, discrete messengers that translate the waves. • Code = the infinite combinations where energy configurations map to memory, emotion, and awareness. This is where wave–particle duality and quantum coherence converge. Why this matters: • PBM (light) restores mitochondrial energy → stabilizes field codes. • TMS (magnetic fields) modulates synchrony → strengthens coherence. • TUM (ultrasound) penetrates deep tissue → fine-tunes oscillations. Together, they demonstrate: the brain is an energy-driven code system, not a wiring diagram. The cure for neurological disease will not be found in plaques or tangles. It will be found in decoding and restoring the energy codes. The ECEPJ framework is the path toward a neural codebook—a map not only for treating Alzheimer’s and Parkinson’s, but for building AI that learns like the brain itself.

Scientists discovered that the heart has over 40,000 neurons, creating its own neural network that communicates directly with the brain. In fact, around 80% of vagus nerve signals go from the heart to the brain, influencing thoughts, emotions, and decisions. This field, known as neurocardiology, shows the heart is more than just a pump—it’s an intelligent organ shaping human choices for millions of years.

Researchers have created a novel computational method to decipher the complex communication patterns between neurons. By analyzing their irregular electrical "spikes," the technique accurately identifies which neurons influence others, a key step in understanding brain function and neurological disorders.

⸻ ⚡ The Energy Brain Revolution Has Begun 🧠 For over a century, neuroscience treated the brain like a wiring diagram — focusing on spikes and connections. But this model has reached its limits. The ECEPJ Model reveals a deeper truth: Your brain is an energy-driven 3D capacitor lattice, storing, synchronizing, and coding graded potentials instead of relying on binary firing. Now, with the help of PBM (Photobiomodulation), TMS (Transcranial Magnetic Stimulation), and neuromodulation technologies, we can prove it: 🔹 PBM → Recharges neuron “capacitors,” restoring energy balance 🔹 TMS → Synchronizes neural fields, showing energy resonance drives cognition 🔹 Neuromodulation → Tunes ion-wave communication and stabilizes brain fields This is the start of a paradigm shift in understanding: • From spikes → energy • From wires → fields • From mapping → healing The future of consciousness, memory, and neurological healing begins with ECEPJ + PBM + TMS. The shift has started. Be part of it. #ECEPJ #EnergyBrainSeries #NeuroGuardian #NeuroscienceRevolution #PBM #TMS #Neuromodulation #BrainHealth #AI

1. Gamma Re-Synchronization (~40 Hz) • Alzheimer’s brains show disrupted gamma oscillations (~30–80 Hz), especially around 40 Hz. • These rhythms normally coordinate activity between the hippocampus (memory) and prefrontal cortex (attention). • When 40 Hz stimulation (light or sound) is applied, research shows: • Improved theta–gamma coupling (crucial for memory encoding). • Restored network coherence in memory and attention circuits. • Reduced amyloid and tau accumulation in animal models. ⸻ 2. Theta-Gamma / Alpha-Beta Coupling • The brain relies on cross-frequency coupling to manage timing: • Theta (4–8 Hz) “sets the frame” for gamma bursts that encode new information. • Alpha-beta (8–30 Hz) supports sensory integration and executive attention. • In Alzheimer’s, these couplings break down → timing errors → impaired recall, navigation, and focus. • 40 Hz entrainment appears to rebuild this timing architecture, improving short-term memory and attention stability. ⸻ 3. Why It Fits ECEPJ & NeuroGuardian • In the ECEPJ model, this isn’t just about rhythms — it’s about energy fields synchronizing capacitor discharges across neural networks. • PBM recharges neurons, and 40 Hz entrainment ensures the timing codes lock back in, restoring field coherence. • NeuroGuardian + NeuroByte would measure this coupling live, detect early breakdowns, and apply personalized gamma + PBM dosing.

Detecting causality in neural spike trains using a new technique Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ultimately dictate how information is processed, transmitted, stored, and retrieved, thus forming the basis of our cognitive functions. via News Medical Device / Technology News Feed