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Return of intracranial beta oscillations and traveling waves with recovery from traumatic brain injury. | LitMetric

AI Article Synopsis

  • Traumatic brain injury (TBI) is a significant health problem with challenges in defining severity and predicting outcomes, even with existing guidelines and monitoring techniques.
  • This study analyzes data from TBI patients with implanted electrodes to identify the connection between beta band oscillations (12-30 Hz) and recovery, as measured by the Glasgow Coma Scale.
  • The results suggest that beta oscillations act as potential biomarkers for recovery, indicating that the brain’s recovery from coma may be linked to the restoration of thalamo-cortical interactions that regulate these beta rhythms.

Article Abstract

Traumatic brain injury (TBI) remains a pervasive clinical problem associated with significant morbidity and mortality. However, TBI remains clinically and biophysically ill-defined, and prognosis remains difficult even with the standardization of clinical guidelines and advent of multimodality monitoring. Here we leverage a unique data set from TBI patients implanted with either intracranial strip electrodes during craniotomy or quad-lumen intracranial bolts with depth electrodes as part of routine clinical practice. By extracting spectral profiles of this data, we found that the presence of narrow-band oscillatory activity in the beta band (12-30 Hz) closely corresponds with the neurological exam as quantified with the standard Glasgow Coma Scale (GCS). Further, beta oscillations were distributed over the cortical surface as traveling waves, and the evolution of these waves corresponded to recovery from coma, consistent with the putative role of waves in perception and cognitive activity. We consequently propose that beta oscillations and traveling waves are potential biomarkers of recovery from TBI. In a broader sense, our findings suggest that emergence from coma results from recovery of thalamo-cortical interactions that coordinate cortical beta rhythms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11291083PMC
http://dx.doi.org/10.1101/2024.07.19.604293DOI Listing

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