Towards assessing subcortical "deep brain" biomarkers of PTSD with functional near-infrared spectroscopy.
Towards assessing subcortical "deep brain" biomarkers of PTSD with functional near-infrared spectroscopy.
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利用功能性近红外光谱评估 PTSD 的皮层下“深脑”生物标志物。
DOI：
10.1093/cercor/bhac320
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Reiss,AllanL
中科院分区：
文献类型：
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作者：
Balters,Stephanie;Schlichting,MarcR;Foland-Ross,Lara;Brigadoi,Sabrina;Miller,JonasG;Kochenderfer,MykelJ;Garrett,AmyS;Reiss,AllanL
用功能性近红外光谱（fNIRS）评估脑功能仅限于皮层的外部区域。在此之前，我们证明了在健康成年人中使用皮质功能磁共振成像（fMRI）和fNIRS活动来推断皮质下“脑深部”区域活动的可行性。使用负担得起的便携式fNIRS访问皮层下区域，使情绪和唤醒得以维持，这可能会对临床诊断和治疗计划产生变革性影响。在这里，我们验证了推断皮层下区域活动的可行性，皮层下区域是创伤后应激障碍病理生理学的中心（PTSD;即杏仁核和海马）使用皮质功能磁共振成像和模拟fNIRS活动在一个样本的青少年诊断为创伤后应激障碍（N= 20，平均年龄= 15.3 ± 1.9岁）和年龄匹配的健康对照组（N= 20，平均年龄= 14.5 ± 2.0岁），因为他们执行面部表情任务。我们测试了不同的预测模型，包括线性回归、多层感知器神经网络和k-近邻模型。皮质功能磁共振成像与皮质功能磁共振成像的皮层下活动的推断显示，在两组中，杏仁核（r >0.91）和海马（r >0.95）的预测性能较高。使用fNIRS模拟数据，健康对照组（r >0.79）和PTSD青年组（r >0.75）对脑深部区域的预测性能相对较高。线性回归和神经网络模型提供了最佳预测。
Assessment of brain function with functional near-infrared spectroscopy (fNIRS) is limited to the outer regions of the cortex. Previously, we demonstrated the feasibility of inferring activity in subcortical “deep brain” regions using cortical functional magnetic resonance imaging (fMRI) and fNIRS activity in healthy adults. Access to subcortical regions subserving emotion and arousal using affordable and portable fNIRS is likely to be transformative for clinical diagnostic and treatment planning. Here, we validate the feasibility of inferring activity in subcortical regions that are central to the pathophysiology of posttraumatic stress disorder (PTSD; i.e. amygdala and hippocampus) using cortical fMRI and simulated fNIRS activity in a sample of adolescents diagnosed with PTSD (N= 20, mean age = 15.3 ± 1.9 years) and age-matched healthy controls (N= 20, mean age = 14.5 ± 2.0 years) as they performed a facial expression task. We tested different prediction models, including linear regression, a multilayer perceptron neural network, and a k-nearest neighbors model. Inference of subcortical fMRI activity with cortical fMRI showed high prediction performance for the amygdala (r >0.91) and hippocampus (r >0.95) in both groups. Using fNIRS simulated data, relatively high prediction performance for deep brain regions was maintained in healthy controls (r >0.79), as well as in youths with PTSD (r >0.75). The linear regression and neural network models provided the best predictions.