Virtual Biopsy: Distinguishing Post-traumatic Stress from Mild Traumatic Brain Injury Using Magnetic Resonance Spectroscopy

L. Mariano, John M. Irvine, B. Rowland, HuiJun Liao, K. Heaton, Irina Orlovsky, Katherine Finkelstein, A. Lin
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引用次数: 1

Abstract

Post-Traumatic Stress Disorder (PTSD) and mild Traumatic Brain Injury (mTBI) affect soldiers returning from recent conflicts at an elevated rate. Our study focuses on the use of magnetic resonance spectroscopy (MRS) measurements to distinguish subjects having mTBI, PTSD, or both, with the goal of identifying biomarkers for of these specific disorders from the MRS data. MRS provides a non-invasive in vivo technique for measuring the concentration of metabolites in the brain, thus serving as a “virtual biopsy” that can be used to monitor a range of neurological diseases. The traditional method for analyzing MRS data assumes that the signal arises from a known set of metabolites and finds the best fit to a collection of pre-defined basis functions representing this set. Our novel approach makes no assumptions about the underlying metabolite population, and instead extracts a rich set of wavelet-based features from the entire MRS signal. Capturing the structure of all significant peaks in the signal allows for the discovery of previously unknown signatures related to disease state. We applied this approach to MRS data from 100 participants across five categories: civilian control subjects, military control subjects, military with PTSD, military with mTBI, and military with both PTSD and mTBI. After signal processing to remove artifacts, features were extracted from each signal using a wavelet decomposition approach, and MRS features from subjects with PTSD, mTBI, or both, were compared to both military and civilian control subjects. Our analysis identified significant changes in many different regions of the MR spectrum, including regions corresponding to glutamate, glutamine, GABA, Creatine, and Lactate. Classifiers based on these features exhibit correct classification rates of 80% or better in cross-validation, demonstrating the value of MRS as a non-invasive means of measuring biochemical signatures associated with PTSD and mTBI in military service men and women.
虚拟活检:用磁共振波谱区分创伤后应激和轻度创伤性脑损伤
创伤后应激障碍(PTSD)和轻度创伤性脑损伤(mTBI)影响着从最近的冲突中返回的士兵。我们的研究重点是使用磁共振波谱(MRS)测量来区分患有mTBI, PTSD或两者兼而有之的受试者,目的是从MRS数据中识别这些特定疾病的生物标志物。MRS提供了一种非侵入性的体内技术来测量大脑中代谢物的浓度,因此可以作为一种“虚拟活检”,用于监测一系列神经系统疾病。分析MRS数据的传统方法假设信号来自一组已知的代谢物,并找到最适合代表这组代谢物的预定义基函数集合。我们的新方法没有对潜在的代谢物种群进行假设,而是从整个MRS信号中提取了一组丰富的基于小波的特征。捕获信号中所有显著峰的结构允许发现先前未知的与疾病状态相关的特征。我们将这种方法应用于来自5类100名参与者的MRS数据:平民控制对象、军事控制对象、患有PTSD的军人、患有mTBI的军人和同时患有PTSD和mTBI的军人。在信号处理去除伪影后,使用小波分解方法从每个信号中提取特征,并将PTSD, mTBI或两者的受试者的MRS特征与军事和平民对照受试者进行比较。我们的分析确定了MR光谱中许多不同区域的显著变化,包括谷氨酸、谷氨酰胺、GABA、肌酸和乳酸盐对应的区域。基于这些特征的分类器在交叉验证中显示出80%或更高的正确分类率,证明了MRS作为一种非侵入性手段测量军人男女创伤后应激障碍和mTBI相关生化特征的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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