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Schematic diagram of the study. (A) Schematic for the EEG analysis in this study. wPLI matrix and median frequency of alpha band were calculated from 31 channel EEG. FDA, one of the ES conditions, was obtained from wPLI network and median alpha frequency. (B) An example of synchronization characteristics of ES and non-ES network. The coupling strength at which the PCF reaches its maximum value was defined as critical point (green and red arrows). (C) An anatomical brain network and Stuart-Landau model were used to investigate the sensitivity and frequency of state transition of the brain network. Global Pulsatile perturbation is given for 100ms and the respond from the perturbation is measured from the subsequent 300ms. (D) Random perturbation on coupling strength is given to simulate number of state transitions under noisy environment. The difference in node colors in the brain network indicates the difference in node degrees. Credit: Scientific Reports (2024). DOI: 10.1038/s41598-024-57473-5

A new study led by Indiana University School of Medicine researchers has found that a brain network condition called “explosive synchronization” could be the cause of extreme pain crises in people with sickle cell disease.

“These findings could have a significant impact on patients with this disease,” said Ying Wang, MD, Ph.D., assistant professor of anesthesia, investigator at the Stark Neurosciences Research Institute and principal investigator of the study. “Unpredictable vaso-occlusive crises, known as pain crises, are extremely acute painful episodes, and the hallmark of sickle cell disease. With our research, we could soon be able to predict these episodes and provide interventions sooner for patients.”

Sickle cell disease is a rare genetic disorder that happens when a person’s red blood cells form a sickle “C” shape, rather than round. This causes the cells to die early, leading to a constant shortage of red blood cells, which are responsible for carrying oxygen throughout the body. As a result, people with the condition can experience severe pain and other serious complications.

Researchers investigated the brain mechanisms of pain in patients with sickle cell disease by analyzing brain electroencephalogram (EEG) data. They identified a novel brain network condition called “explosive synchronization” and found significant correlations between the pain and the strength of explosive synchronization. The findings are published in Scientific Reports.

“This innovative finding is significant as it not only enhances our understanding of the pain mechanisms in sickle cell disease, but also potentially guides clinical diagnosis and the prognosis of pain management in these patients,” Wang said. “For example, early identification of an upcoming vaso-occlusive crisis might allow treatment to preempt a crisis.”

The team is now working on transforming these findings to a more portable, user-friendly EEG device that can be used by clinicians and individuals. They also hope to establish a multi-dimensional brain network model that will increase the ability to predict future pain crises.

“Our goal is to identify the temporal changes of the brain hypersensitivity network associated with the occurrence and progression of each pain crisis event,” Wang said. “We are also studying the effect of pain relief by treatments such as acupuncture, which may be able to reduce the occurrence and/or intensity of chronic pain and pain crises via mediating the strength of explosive synchronization and brain network hypersensitivity.”

Other study authors include Ziyue Liu and Andrew O’Brien of Indiana University; Pangyu Joo, Minkyung Kim, Uncheol Lee, Steven Harte of the University of Michigan; Richard Harris of the University of Michigan and University of California at Irvine; and Brianna Kish, Vidhya Vijayakrishnan Nair, and Yunjie Tong of Purdue University.

More information:
Pangyu Joo et al, Brain network hypersensitivity underlies pain crises in sickle cell disease, Scientific Reports (2024). DOI: 10.1038/s41598-024-57473-5

Provided by
Indiana University School of Medicine


Citation:
Alteration of brain network condition could predict painful vaso-occlusive crisis in patients with sickle cell disease (2024, April 24)
retrieved 24 April 2024
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