BrainScope’s technology in development is based on the premise that the brain electrical activity, whether reflexive, automatic, unconscious or conscious, is electro-chemical in nature, and has mathematically predictable electrical correlates.
BrainScope Technology Core Competencies
Through a series of electro-chemical reactions, mediated by molecules called neurotransmitters, electrical potentials (voltages) are generated and transmitted throughout the brain, traveling continuously between and among the myriad of neurons. This activity establishes the basic electrical signatures of the traditional electroencephalogram (EEG) and creates identifiable frequencies based on structure and function and changing predictably as a function of age.
Quantification and analysis of these features provide EEG-based objective descriptors of brain function. Characterization of the EEG as either being within or beyond normal limits is the core capability to assess normal and abnormal brain function, and specifically identify TBI.
BrainScope’s novel application of advanced mathematics and miniaturized hardware is designed to bridge the limitations of traditional EEG tools (bulky, expensive, need expert data interpretation), to provide easy-to-use, non-invasive, timely, point-of-care tools that can assist with an initial assessment of brain function as well as provide adjunctive assessment across the continuum of brain care. BrainScope’s devices are focused on TBI in military, sports, and emergency/urgent care environments both in the U.S. and internationally.
BrainScope holds over 100 issued and pending global patents.
Signal Processing Methdology
Prichep LS, et al. Classification of Traumatic Brain Injury severity using informed data reduction in a series of binary classifier algorithms. IEEE Trans Neural Systems & Rehab Eng. 2012; 20: 806-822.
Prichep LS, et al. Classification algorithms for the identification of structural injury in TBI using brain electrical activity. Comp Biol & Med. 2014; 53:125–133.
Use in the Acute Environment
Naunheim R, et al. Automated Electroencephalogram (EEG) Identifies Abnormalities in the Emergency Department; Amer J Emerg Med. 2011; 29(8):845-848.
Naunheim R, et al. Use of Brain Electrical Activity to Quantify TBI Brain Dysfunction in the ED; Brain Injury. 2010; 24(11):1324-1329.
Acute Effects of Concussion and Prediction of Outcome
McCrea M, et al. Acute effects & recovery after sport related concussion: A Quantitative Brain Electrical Activity Study; J Head Trauma Rehabil. 2010: 25(4); 283-292.
Barr W, et al. Measuring brain electrical activity to track recovery from sport related concussion; Brain Injury. 2012: 26(1):58-66.
Prichep, LS, et al. Time Course of Clinical and Electrophysiological Recovery Following Mild and Moderate Sport-Related Concussion. J Head Trauma Rehabil. July/August 2013; Vol. 28, Issue 4 pp. 266-273.
Related Issues to "Standard of Care"
O’Neil, B, et al. CT Positive brain injury in mild TBI patients presenting with normal SAC scores. Military Med. 2014: 179(11); 1250-1253.
Huff & Johar, Differences in interpretation of cranial CT in Emergency Department TBI patients by expert neuroradiologists. Amer J EM. 2014: 32(6):606-608.
Sensitivity to Structural Brain Injury
Naunheim RS & Casner T. Novel Method for Detecting Brain Abnormality in a Patient with Epidural Hematoma: A Case Report. Am J Emerg Med. 2010, 28(3): 386.
O’Neil B, et al., Can quantitative brain electrical activity aid in the triage of mild traumatic brain injured patients. West J Emerg Med. 2012; 13:394-400.
Ayaz SI, Thomas C, Kulek A, Tolomello R, Mika V, Robinson D, Medado P, Pearson C, Prichep LS, O’Neil BJ. Comparison of Quantitative EEG to Current Clinical Decision Rulesfor Head CT Use in Acute Mild Traumatic Brain Injury in the ED. Am J Emerg Me., 2015; 33(4): 493-496.
Sensitivity to Hematomas
Hanley, D, et al., Use of brain electrical activity for the identification of hematomas in mild traumatic brain injury. J NeuroTrauma. 2013l; 30(24):2051-2056.
Prichep, et al. Identification of hematomas in mild traumatic brain injury using an index of quantitative brain electrical activity. J NeuroTrauma. 2015; 32(1):17-22.
Michelson, et al., Identification of acute stroke using quantified brain electrical activity. J Acad Emerg Med. 2015; 22(1):67-72.