Close Menu
    Facebook X (Twitter) Instagram
    SciTechDaily
    • Biology
    • Chemistry
    • Earth
    • Health
    • Physics
    • Science
    • Space
    • Technology
    Facebook X (Twitter) Pinterest YouTube RSS
    SciTechDaily
    Home»Technology»Harvard’s Tiny Chip Unveils 70,000 Hidden Brain Connections
    Technology

    Harvard’s Tiny Chip Unveils 70,000 Hidden Brain Connections

    By Anne J. Manning, Harvard John A. Paulson School of Engineering and Applied SciencesFebruary 18, 2025No Comments6 Mins Read
    Facebook Twitter Pinterest Telegram LinkedIn WhatsApp Email Reddit
    Share
    Facebook Twitter LinkedIn Pinterest Telegram Email Reddit
    Brain Neuron Connections Concept Art
    Using an innovative microhole electrode chip, Harvard scientists recorded over 70,000 synaptic connections from rat neurons, vastly outpacing prior techniques. This leap in neuronal mapping could transform our understanding of brain connectivity and function. Credit: SciTechDaily.com

    Harvard researchers have developed an advanced silicon chip with microhole electrodes, allowing for the mapping of over 70,000 synaptic connections among rat neurons.

    This breakthrough, surpassing previous methods in both accuracy and scale, brings scientists closer to understanding how neurons connect and communicate.

    Mapping Thousands of Synaptic Connections

    Harvard researchers have successfully mapped and cataloged over 70,000 synaptic connections from approximately 2,000 rat neurons. They achieved this using a silicon chip capable of detecting small but significant synaptic signals from a large number of neurons simultaneously.

    Published in Nature Biomedical Engineering, this research marks a major advancement in neuronal recording. It could bring scientists closer to creating a detailed map of synaptic connections, offering deeper insights into how neurons communicate.

    Higher-order brain functions rely on the way neurons connect and interact. These connections occur at junctions called synapses. Scientists aim to create synaptic maps that not only show which neurons are linked but also reveal the strength of these connections. While electron microscopy has been highly effective for visualizing synaptic structures, it cannot measure connection strength, limiting its ability to fully explain how neuronal networks function.

    Microhole Electrode Array
    A portion of the microhole electrode array on the silicon chip. Credit: Ham Group / Harvard John A. Paulson School of Engineering and Applied Sciences

    Challenges in Recording Synaptic Strengths

    A more precise method, known as patch-clamp recording, is considered the gold standard for studying synaptic activity. This technique can penetrate individual neurons to capture weak synaptic signals with high sensitivity, helping researchers identify and measure connection strength. However, applying this method to large networks of neurons simultaneously has been a persistent challenge. So far, scientists have struggled to record intracellular signals from more than a few neurons at a time, limiting their ability to construct large-scale, functionally annotated neural maps.

    Chip With Neuron
    Left: Packaged silicon chip with a microhole electrode array on top. Right: A neuronal cell sitting on a microhole electrode array (in actual recording, neurons are much more densely settled). Credit: Ham Group / Harvard John A. Paulson School of Engineering and Applied Sciences

    Breakthrough Microhole Electrode Technology

    The researchers, led by Donhee Ham, the John A. and Elizabeth S. Armstrong Professor of Engineering and Applied Sciences at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), developed an array of 4,096 microhole electrodes on a silicon chip, which performed massively parallel intracellular recording of rat neurons cultured on the chip. From these unprecedented recording data that abounded with synaptic signals, they extracted over 70,000 synaptic connections from about 2,000 neurons.

    The work builds on the team’s 2020 breakthrough device – an array of 4,096 vertical nanoneedle electrodes sticking out of a silicon chip of the same integrated circuit design. On this previous device, a neuron could wrap around a needle to allow intracellular recording, which was parallelized through the large number of electrodes. In the best case, they could extract about 300 synaptic connections from the recording data – still blowing well past what patch-clamp recording can reach.

    With the basic premise in hand, the team suspected they could do better. Co-lead authors Jun Wang and Woo-Bin Jung from the Ham group at SEAS led the design and fabrication of the microhole electrode array on the silicon chip, the electrophysiological recording, and the data analysis.

    A Game-Changer in Accessibility

    They operated the chip to gently open up cells with small current injections through the electrodes in order to parallelize their intracellular recording. Postdoctoral researcher Wang said the microhole design is similar to the patch-clamp electrode, which is essentially an electrode-housing glass pipette with a hole at the end.

    “Not only do microhole electrodes better couple to the interiors of neurons than the vertical nanoneedle electrodes, but they are also much easier to fabricate. This accessibility is another important feature of our work,” Wang said.

    Synaptic Map
    Synaptic connection map extracted from the massively parallel intracellular recording data. Credit: Ham Group / Harvard John A. Paulson School of Engineering and Applied Sciences

    Exceeding Expectations in Synaptic Mapping

    The new design exceeded the team’s expectations. On average, more than 3,600 microhole electrodes out of the total 4,096 – that is, 90 percent – were intracellularly coupled to neurons on top. The number of synaptic connections the team extracted from such unprecedented network-wide intracellular recording data bloomed to 70,000 plausible synaptic connections, compared with about 300 with their previous nanoneedle electrode array. The quality of the recording data was also better, which allowed the team to categorize each synaptic connection based on its characteristics and strengths.

    “The integrated electronics in the silicon chip plays as equally an important role as the microhole electrode, providing gentle currents in an elaborate way to obtain intracellular access, and recording at the same time the intracellular signals,” said Jung, a former postdoctoral researcher and now a faculty member at Pohang University of Science and Technology in South Korea.

    Next Steps: From Lab to Live Brain

    “One of the biggest challenges, after we succeeded in the massively parallel intracellular recording, was how to analyze the overwhelming amount of data,” Ham said. “We have since come a long way to gain insight into synaptic connections from them. We are now working toward a newer design that can be deployed in a live brain.”

    Reference: “Synaptic connectivity mapping among thousands of neurons via parallelized intracellular recording with a microhole electrode array” by Jun Wang, Woo-Bin Jung, Rona S. Gertner, Hongkun Park and Donhee Ham, 11 February 2025, Nature Biomedical Engineering.
    DOI: 10.1038/s41551-025-01352-5

    Paper co-authors include Rona S. Gertner of the Department of Chemistry and Chemical Biology, and Hongkun Park, the Mark Hyman, Jr. Professor of Chemistry and Professor of Physics.

    The research was supported by the Samsung Advanced Institute of Technology of Samsung Electronics.

    Never miss a breakthrough: Join the SciTechDaily newsletter.
    Follow us on Google and Google News.

    Biomedical Engineering Biotechnology Brain Harvard University Neuroscience
    Share. Facebook Twitter Pinterest LinkedIn Email Reddit

    Related Articles

    Scientists Warn of “Bleak Cyborg Future” From Brain-Computer Interfaces

    Sonothermogenetics Can Control Behavior by Stimulating a Specific Target Deep in the Brain

    New Electronics Devised That Mimic the Human Brain in Efficient Learning

    MIT Develops Soft, Flexible Neural Implants That Can Be 3D Printed on Demand

    New Organ on a Chip Lets Researchers Study Effects of Drugs and Disease

    New Nanofiber Dressings Dramatically Accelerate Healing and Tissue Regeneration

    Single-Stranded DNA and RNA Origami That Can Autonomously Fold Into Defined Structures

    New Bioprinting Technique Shows Potential for Tissue Repair and Regenerative Medicine

    New Technique Enlarges Tissue Samples, Making Them Easier to Image

    Leave A Reply Cancel Reply

    • Facebook
    • Twitter
    • Pinterest
    • YouTube

    Don't Miss a Discovery

    Subscribe for the Latest in Science & Tech!

    Trending News

    Your Blood Pressure Reading Could Be Wrong Because of One Simple Mistake

    Astronomers Stunned by Ancient Galaxy With No Spin

    Physicists May Be on the Verge of Discovering “New Physics” at CERN

    Scientists Solve 320-Million-Year Mystery of Reptile Skin Armor

    Scientists Say This Daily Walking Habit May Be the Secret to Keeping Weight Off After Dieting

    New Therapy Rewires the Brain To Restore Joy in Depression Patients

    Giant Squid Detected off Western Australia in Stunning Deep-Sea Discovery

    Popular Sugar-Free Sweetener Linked to Liver Disease, Study Warns

    Follow SciTechDaily
    • Facebook
    • Twitter
    • YouTube
    • Pinterest
    • Newsletter
    • RSS
    SciTech News
    • Biology News
    • Chemistry News
    • Earth News
    • Health News
    • Physics News
    • Science News
    • Space News
    • Technology News
    Recent Posts
    • Hidden Warm Water Beneath Antarctica Could Rapidly Raise Global Sea Levels
    • Scientists Revive Ancient Chemistry Trick To Engineer Next-Generation Glass
    • Scientists Use AI To Supercharge Ultrafast Laser Simulations by More Than 250x
    • Scientists Just Found a Surprising Way To Destroy “Forever Chemicals”
    • Popular Supplement Ingredient Linked to Shorter Lifespan in Men
    Copyright © 1998 - 2026 SciTechDaily. All Rights Reserved.
    • Science News
    • About
    • Contact
    • Editorial Board
    • Privacy Policy
    • Terms of Use

    Type above and press Enter to search. Press Esc to cancel.