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NIRDuino: A New Tool in Brain Research

NIRDuino makes studying the brain affordable and accessible for researchers.

Anupam Kumar, Seth Crawford, Tiffany-Chau Le, Ali Rahimpour Jounghani, Laura Moreno Carbonell, Alexandra Sargent Capps, Alec B. Walter, Daniel Liu, Reed Sullivan, E. Duco Jansen, SM Hadi Hosseini, Audrey K. Bowden

― 6 min read


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In the world of brain research, scientists are always looking for better ways to study how our minds work. Enter NIRDuino, a new and affordable tool that helps researchers look at brain activity using light. This device is designed with flexibility in mind, allowing it to be used in various settings, like labs, homes, or even during a stroll in the park. It promises to make understanding brain functions more accessible to researchers—no PhD in engineering required!

What is Functional Neuroimaging?

Functional neuroimaging is a technique that lets researchers see which parts of the brain are active during different tasks or experiences. Imagine your brain as a city with various districts working harder at different times. Functional neuroimaging helps scientists figure out which areas are "bustling" (we mean active) when you solve a math problem, listen to music, or recall a memory.

Current methods require expensive machines and lots of time, making it tough for researchers to gather enough data. Plus, these tools can be complicated, often needing specialized training to operate. This is where NIRDuino steps in, offering a pick-up-and-go option for scientists wanting to explore brain activity without breaking the bank.

The NIRDuino Setup

NIRDuino is built on Arduino technology, which is like Lego for electronics enthusiasts. Researchers can connect multiple sensors to measure brain activity using this compact device for less than $1000—much better than some existing systems that cost tens of thousands!

The system consists of small light-emitting devices that shine near-infrared light into the brain and sensors that detect the light bouncing back. Researchers can attach these devices to different parts of the head or body. NIRDuino offers a user-friendly mobile application where researchers can select which sensors to use and start collecting data with just a few taps.

Why is NIRDuino Important?

The affordability and ease of use of NIRDuino mean that more researchers can study how the brain works, which can lead to better understanding of various psychological conditions like ADHD, Alzheimer’s, and other mental health issues. More data from more diverse subjects can help scientists make sense of complex brain behaviors and patterns. It’s like having more puzzle pieces to complete a picture!

Components of NIRDuino

Light Delivering Probes

These devices, called emitters, shine light into the brain. Each emitter has two LEDs that work at different wavelengths to collect vital information. The intensity of the light can be adjusted, which helps capture accurate data without “blinding” the sensors.

Light Detectors

These sensors, known as detectors, pick up the light that comes back from the brain. They convert the light signals into electrical signals. Think of them as the “eager listener” in a conversation—the more attentive they are, the better information they can provide.

Controller

The controller is the brains of the operation (pun intended). It coordinates the emitters and detectors and sends the data to the mobile app. It takes care of power management and communication, ensuring that everything runs smoothly, like a well-oiled machine.

Dongle Circuit

It sounds fancy, but the dongle is a simple circuit connecting the emitters and detectors to the controller. It's like a middleman, helping the various parts talk to each other efficiently.

How to Use NIRDuino

Using NIRDuino is as easy as pie. After setting up the device and downloading the app on an Android tablet or phone, researchers can start their experiments. They simply need to connect the emitters and detectors, choose their desired settings, and hit the start button. The app provides a real-time display of the data collected, which can be stored and analyzed later.

This simplicity means researchers can focus more on their studies rather than dealing with complex equipment. Even those who don’t have a deep technical background can get involved in brain research.

Evaluating NIRDuino's Effectiveness

To make sure NIRDuino is doing its job well, researchers conduct tests to check how accurately it measures brain activity. This involves setting up a fake brain model with known properties and comparing the readings from NIRDuino with those from existing, more expensive systems. The goal is to see if NIRDuino can provide reliable data that matches what’s expected.

Researchers perform a variety of experiments, from measuring responses to simple physical changes—like bending a finger—to more complex cognitive tasks, like solving math problems. If NIRDuino passes these tests, it will be proven as a trustworthy research tool.

Opportunities for Improvement

Even though NIRDuino is a great leap forward, there’s always room for growth. For example, the current data collection speed is constant, meaning that no matter how many sensors are being used, the system only captures data at a fixed rate. Future updates might allow this rate to change depending on the number of sensors in action.

Also, while the software is easy to use, it currently only captures raw data. More advanced features could improve the user experience, allowing researchers to conduct analyses directly on the device instead of needing a computer.

The Future of Brain Research with NIRDuino

NIRDuino represents an exciting new direction in brain research, enabling a wider range of scientists to participate in studying how we think, feel, and behave. By making data collection easier and more affordable, it opens up possibilities for new research that was previously unfeasible.

As researchers continue to use NIRDuino, they might discover things about the brain that change how we understand mental health and cognitive function. Who knows? The next groundbreaking discovery in psychology could come from a researcher using NIRDuino during a casual study at their local coffee shop!

Conclusion

In summary, NIRDuino is a refreshing new approach to functional neuroimaging, combining affordability, ease of use, and flexibility. With its compact design and wireless capabilities, anyone from seasoned researchers to eager amateurs can engage with brain science.

As more people use this device, the hope is that it will lead to groundbreaking discoveries and enhance our understanding of the human mind. The world of brain research is about to get a lot more exciting, thanks to NIRDuino! So, grab a cup of coffee, connect your device, and discover the wonders of your own brain.

Original Source

Title: NIRDuino: A modular, Bluetooth-enabled, Android-configurable fNIRS system with dual-intensity mode built on Arduino

Abstract: SignificanceWe present NIRDuino: an Open-source Android(R)-configurable, modular, and Bluetooth-enabled fNIRS system that allows researchers to perform neuroimaging studies with up to eight emitters and 16 detectors. The complete system (including Android tablet) can be assembled for less than $1000, and the emitters and detectors can be arranged in any configuration to achieve the desired short and long channels required for their study. AimThe system has been designed with non-engineers in mind, and the researcher only needs to design the wearable interfaces to attach the emitters and detectors to the body appropriate for their intended application. ApproachThe system consists of a battery-powered, wireless controller built on the Arduino(R) Nano ESP32 platform, a dongle with sockets for each of the eight emitters and detectors that can be connected, and individual wired probes for emitters and detectors. In accompaniment, Arduino(R)-based firmware and an Android(R) application have also been developed and provided. The selected emitters and detectors can be arranged in any desired configuration, and the emitters can be configured to output light with both regular intensities and low intensities to collect data for "long channels" with sufficient signal quality and "short channels" without saturation. This paper details the systems design and characterization on phantom and two physiological experiences on a human. ResultsThe easy-to-configure hardware/software system demonstrated stability in fNIRS measurements using a single emitter-detector pair placed on a phantom, and reproduced previously published outcomes for arterial cuff measurements on the forearm and a arithmetic experiment on the forehead. ConclusionThe NIRDuino circuitry and software demonstrated modularity and usability for NIRS experiments, and this low-cost platform will provide researchers globally with an affordable fNIRS system to easily adopt and adapt for their unique experimental needs.

Authors: Anupam Kumar, Seth Crawford, Tiffany-Chau Le, Ali Rahimpour Jounghani, Laura Moreno Carbonell, Alexandra Sargent Capps, Alec B. Walter, Daniel Liu, Reed Sullivan, E. Duco Jansen, SM Hadi Hosseini, Audrey K. Bowden

Last Update: 2024-12-24 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2024.12.20.24318425

Source PDF: https://www.medrxiv.org/content/10.1101/2024.12.20.24318425.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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