Shawn R Eagle, Ava Puccio, Sarah Svirsky, James Mountz, Charles Laymon, Allison Borasso, Luke Henry, David O Okonkwo
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Surveys included the Neurobehavioral Symptom Inventory (NSI), Insomnia Severity Index (ISI), Epworth Sleepiness Severity (ESS), PTSD Checklist for DSM-5 (PCL-5), Brief Symptom Inventory-18 (BSI-18), Satisfaction with Life Scale (SWLS), Barratt Impulsivity Scale (BIS), and Buss Perry Aggression Questionnaire (BPAQ). PET scans were read by a neuroradiologist and rated positive or negative based upon established cutoffs. General linear models compared participants with TBI history with controls on outcomes. Age, years of education, military status, biological sex, race/ethnicity, and total self-reported TBIs were included as covariates in all models with Bonferroni corrections. Forward stepwise linear regression models were built to associate neuroimaging outcomes with symptom domains; inclusion in the linear regression required a <i>p</i> value <0.1. The average age for both groups was ∼40 years. The TBI group reported an average of five TBIs; the control group reported an average of one TBI. Across seven regions of interest, only one TBI participant met established PET cutoffs for neuropathology in one cortical region. After controlling for age, sex, race/ethnicity, years of education, military status, and TBI history, there were no statistically significant differences between groups in any neurocognitive outcome (<i>p</i> = 0.06-0.95), Aβ or tau PET (<i>p</i> = 0.05-0.70), MRI volumetrics (<i>p</i> = 0.06-0.98), or plasma biomarkers (<i>p</i> = 0.06-0.85). The TBI group had higher NSI, PCL-5, BSI-18, BPAQ, ESS, and ISI scores compared with the controls (<i>p</i> < 0.001-0.042). Within the TBI group, amygdala normative percentile and/or amygdala asymmetry index were included in the final models for NSI, SWLS, PCL5, BIS, BPAQ, and ISI. Only two models included a statistically significant PET outcome in the final model. In this sample with a mean age of 40 and a history of 5+ TBIs, core diagnostic biomarkers for AD were not different from controls despite significantly higher symptom burden. 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引用次数: 0
摘要
本研究的目的是比较创伤性神经退行性变风险参与者与健康对照组与阿尔茨海默病(AD)相关的结果,如主观症状、神经认知表现、血浆生物标志物、体积、淀粉样蛋白- β (a β)正电子发射断层扫描(PET)和tau PET。参与者完成了神经退行性疾病的综合评估方案,包括磁共振成像(MRI)、PET扫描tau和a β、抽血、与神经退行性疾病相关的主观症状报告和客观神经认知评估。调查包括神经行为症状量表(NSI)、失眠严重程度指数(ISI)、Epworth嗜睡严重程度量表(ESS)、DSM-5 PTSD检查表(PCL-5)、简要症状量表-18 (BSI-18)、生活满意度量表(SWLS)、Barratt冲动性量表(BIS)和Buss Perry攻击问卷(BPAQ)。PET扫描由神经放射学家读取,并根据既定的截止值评定为阳性或阴性。一般线性模型比较有TBI病史的参与者与对照组的结果。年龄、受教育年限、军事地位、生理性别、种族/民族和总自我报告的tbi被包括在所有具有Bonferroni校正的模型中作为协变量。建立了前向逐步线性回归模型,将神经影像学结果与症状域联系起来;纳入线性回归需要p值p = 0.06-0.95), a β或tau PET (p = 0.05-0.70), MRI体积(p = 0.06-0.98)或血浆生物标志物(p = 0.06-0.85)。TBI组NSI、PCL-5、BSI-18、BPAQ、ESS、ISI评分均高于对照组(p < 0.001 ~ 0.042)。在TBI组中,杏仁核标准百分位数和/或杏仁核不对称指数被纳入NSI、SWLS、PCL5、BIS、BPAQ和ISI的最终模型。只有两个模型在最终模型中包含统计学上显著的PET结果。在这个平均年龄为40岁且有5次以上tbi病史的样本中,AD的核心诊断生物标志物与对照组没有差异,尽管症状负担明显更高。在TBI组中,关键脑区域的体积测量与几个症状域相关,这表明皮质体积(尤其是杏仁核)可能是该人群中比PET扫描更可行的慢性症状负担的早期生物标志物。
Identifying a Biological Signature of Trauma-Related Neurodegeneration Following Repeated Traumatic Brain Injuries Compared with Healthy Controls.
The objective of this study was to compare participants at-risk for trauma-related neurodegeneration to a healthy control group on outcomes associated with Alzheimer's disease (AD), such as subjective symptoms, neurocognitive performance, plasma biomarkers, volumetrics, amyloid-beta (Aβ) positron emission tomography (PET), and tau PET. Participants completed a comprehensive assessment protocol for neurodegenerative disease, including magnetic resonance imaging (MRI), PET scans for tau and Aβ, blood draw, subjective symptom reports related to neurodegenerative disease, and objective neurocognitive assessment. Surveys included the Neurobehavioral Symptom Inventory (NSI), Insomnia Severity Index (ISI), Epworth Sleepiness Severity (ESS), PTSD Checklist for DSM-5 (PCL-5), Brief Symptom Inventory-18 (BSI-18), Satisfaction with Life Scale (SWLS), Barratt Impulsivity Scale (BIS), and Buss Perry Aggression Questionnaire (BPAQ). PET scans were read by a neuroradiologist and rated positive or negative based upon established cutoffs. General linear models compared participants with TBI history with controls on outcomes. Age, years of education, military status, biological sex, race/ethnicity, and total self-reported TBIs were included as covariates in all models with Bonferroni corrections. Forward stepwise linear regression models were built to associate neuroimaging outcomes with symptom domains; inclusion in the linear regression required a p value <0.1. The average age for both groups was ∼40 years. The TBI group reported an average of five TBIs; the control group reported an average of one TBI. Across seven regions of interest, only one TBI participant met established PET cutoffs for neuropathology in one cortical region. After controlling for age, sex, race/ethnicity, years of education, military status, and TBI history, there were no statistically significant differences between groups in any neurocognitive outcome (p = 0.06-0.95), Aβ or tau PET (p = 0.05-0.70), MRI volumetrics (p = 0.06-0.98), or plasma biomarkers (p = 0.06-0.85). The TBI group had higher NSI, PCL-5, BSI-18, BPAQ, ESS, and ISI scores compared with the controls (p < 0.001-0.042). Within the TBI group, amygdala normative percentile and/or amygdala asymmetry index were included in the final models for NSI, SWLS, PCL5, BIS, BPAQ, and ISI. Only two models included a statistically significant PET outcome in the final model. In this sample with a mean age of 40 and a history of 5+ TBIs, core diagnostic biomarkers for AD were not different from controls despite significantly higher symptom burden. Volumetrics in critical brain regions were associated with several symptom domains in the TBI group, indicating that cortical volumetrics (especially in the amygdala) may be a more viable early biomarker of chronic symptom burden in this population than PET scans.