National academy of science, Nonprofit

New research introduces a novel, AI-based dynamic brain imaging technology alternative which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.Brain electrical activity is distributed over the three-dimensional brain and rapidly changes over time. Many efforts have been made to image brain function and dysfunction, and each method bears pros and cons. For example, MRI has commonly been used to study brain activity, but is not fast enough to capture brain dynamics. EEG is a favorable alternative to MRI technology however, its less-than-optimal spatial resolution has been a major hindrance in its wide utility for imaging.Electrophysiological source imaging has also been pursued, in which scalp EEG recordings are translated back to the brain using signal processing and machine learning to reconstruct dynamic pictures of brain activity over time. While EEG source imaging is generally cheaper and faster, specific training and expertise is needed for users to select and tune parameters for every recording. In new published work, He and his group introduce a first of its kind AI-based dynamic brain imaging methodology, that has the potential of imaging dynamics of neural circuits with precision and speed."As part of a decades-long effort to develop innovative, non-invasive functional neuroimaging solutions, I have been working on a dynamic brain imaging technology that can provide precision, be effective and easy to use, to better serve clinicians and researchers," said Bin He, professor of biomedical engineering at Carnegie Mellon University.He continues, "Our group is the first to reach the goal by introducing AI and multi-scale brain models. Using biophysically inspired neural networks, we are innovating this deep learning approach to train a neural network that can precisely translate scalp EEG signals back to neural circuit activity in the brain without human intervention."In He's study, which was recently published in Proceedings of the National Academy of Sciences(PNAS), the performance of this new approach was evaluated by imaging sensory and cognitive brain responses in 20 healthy human subjects. It was also rigorously validated in identifying epileptogenic tissue in a cohort of 20 drug-resistant epilepsy patients by comparing AI based noninvasive imaging results with invasive measurements and surgical resection outcomes.Results wise, the novel AI approach outperformed conventional source imaging methods when precision and computational efficiency are considered."With this new approach, you only need a centralized location to perform brain modeling and training deep neural network," explained He. "After collecting data in a clinical or research setting, clinicians and researchers could remotely submit the data to the centralized well trained deep neural networks and quickly receive accurate analysis results. This technology could speed up diagnosis and assist neurologists and neurosurgeons for better and faster surgical planning."As a next step, the group plans to conduct larger clinical trials in efforts to bring the research closer to clinical implementation."The goal is for efficient and effective dynamic brain imaging with simple operation and low cost," explained He. "This AI-based brain source imaging technology makes it possible."( With inputs from ANI )Disclaimer: This post has been auto-published from an agency feed without any modifications to the text and has not been reviewed by an editor

National Academy Of ScienceFOLLOW

National academy of science, Latest News

Researchers from the University of Pittsburgh Center for Vaccine Research reverse-engineered an elusive virus linked to chronic kidney disease in cats and described its mode of infection, outlining its potential to infect humans, in a study that was ...

Researchers analyzed the structures of the receptor-binding domain (RBD) of the SARS-CoV-2 omicron variant and its receptor, angiotensin-converting enzyme 2 (ACE2), to gain insight into the variant's potential animal reservoir. ...

When we are awake, we typically believe that our minds are always racing with ideas. We maintain our own dynamic mental stream, which is like a river stream that never stops flowing. ...

When we are awake, we typically believe that our minds are always racing with ideas. We maintain our own dynamic mental stream, which is like a river stream that never stops flowing. ...

From insomnia to high blood pressure, all sorts of serious health issues are often linked to stress but it's generally acknowledged that some stress can also be helpful, like when someone's chasing a work deadline. However, can it also be beneficial ...

The bacteria in our stomach are fed by a carbohydrate that is frequently found bound to plant proteins, according to researchers. ...

Infants can distinguish most sounds soon after birth, and by age one, they start to become language-specific listeners. However, researchers are still trying to figure out how babies recognise which acoustic dimensions of their language are contrasti ...

New research introduces a novel, AI-based dynamic brain imaging technology alternative which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost. ...