Neuroimaging-based brain-age prediction in diverse forms of epilepsy: a signature of psychosis and beyond.

Neuroimaging-based brain-age prediction in diverse forms of epilepsy: a signature of psychosis and beyond.
复制标题

基于神经成像的不同形式癫痫的脑年龄预测:精神病及其他症状的标志。

DOI:
10.1038/s41380-019-0446-9
复制
发表时间:
2021-03
影响因子:
11
通讯作者:
Matsuda H
Matsuda H
中科院分区:
医学1区
文献类型:
--
作者:
Sone D;Beheshti I;Maikusa N;Ota M;Kimura Y;Sato N;Koepp M;Matsuda H

文献摘要

参考文献

被引文献

相似文献

癫痫是一种多种多样的大脑疾病,其各种形式和共病的病理生理机制在很大程度上尚不清楚。最近的一种机器学习方法使我们能够从核磁共振估计一个人的“脑年龄”;这种脑年龄预测有望成为神经精神疾病的一个新的个体生物标记物。本研究的目的是估计不同类型癫痫的脑龄,并评估脑龄对(1)精神病对颞叶癫痫(TLE)的影响,(2)MRI阴性癫痫的心理性非癫痫发作(PNES),以及(3)青少年肌阵挛癫痫(JME)的进行性肌阵挛癫痫(PME)。总共使用了1196个来自健康对照(HC)的T1加权MRI扫描来建立支持向量回归的脑年龄预测模型。使用该模型,我们计算了HCS和318例癫痫患者的脑预测年龄差(脑-垫:预测年龄-时间顺序年龄)。我们根据研究问题比较了脑垫的数值。结果,除颞叶外局灶性癫痫外,所有类别的患者脑垫均显著增加。患有海马体硬化症的TLE患者的脑垫显著高于其他几类患者。有发作间期精神病的TLE患者的平均脑垫为10.9岁,显著高于无精神病的TLE患者(5.3岁)。PNES显示出与癫痫患者相当的平均脑垫(10.6岁)。PME的脑垫比JME高(22.0岁比9.3岁)。总之,基于神经成像的脑年龄预测可以为癫痫的不同症状提供新的见解或临床用途。
Epilepsy is a diverse brain disorder, and the pathophysiology of its various forms and comorbidities is largely unknown. A recent machine learning method enables us to estimate an individual’s “brain-age” from MRI; this brain-age prediction is expected as a novel individual biomarker of neuropsychiatric disorders. The aims of this study were to estimate the brain-age for various categories of epilepsy and to evaluate clinical discrimination by brain-age for (1) the effect of psychosis on temporal lobe epilepsy (TLE), (2) psychogenic nonepileptic seizures (PNESs) from MRI-negative epilepsies, and (3) progressive myoclonic epilepsy (PME) from juvenile myoclonic epilepsy (JME). In total, 1196 T1-weighted MRI scans from healthy controls (HCs) were used to build a brain-age prediction model with support vector regression. Using the model, we calculated the brain-predicted age difference (brain-PAD: predicted age—chronological age) of the HCs and 318 patients with epilepsy. We compared the brain-PAD values based on the research questions. As a result, all categories of patients except for extra-temporal lobe focal epilepsy showed a significant increase in brain-PAD. TLE with hippocampal sclerosis presented a significantly higher brain-PAD than several other categories. The mean brain-PAD in TLE with inter-ictal psychosis was 10.9 years, which was significantly higher than TLE without psychosis (5.3 years). PNES showed a comparable mean brain-PAD (10.6 years) to that of epilepsy patients. PME had a higher brain-PAD than JME (22.0 vs. 9.3 years). In conclusion, neuroimaging-based brain-age prediction can provide novel insight into or clinical usefulness for the diverse symptoms of epilepsy.
DOI: 10.1002/ana.24367
发表时间: 2015-04
影响因子: 11.2
作者:
Cole, James H.;Leech, Robert;Sharp, David J.
通讯作者: Sharp, David J.
DOI: 10.1016/j.neuroimage.2010.01.005
发表时间: 2010-04-15
期刊: NEUROIMAGE
影响因子: 5.7
作者:
Franke, Katja;Ziegler, Gabriel;Gaser, Christian
通讯作者: Gaser, Christian
神经影像学中脑部疾病的单受试者预测:前景和陷阱
DOI: 10.1016/j.neuroimage.2016.02.079
发表时间: 2017-01-15
期刊: NeuroImage
影响因子: 5.7
作者:
Arbabshirani MR;Plis S;Sui J;Calhoun VD
通讯作者: Calhoun VD
DOI: 10.1093/schbul/sbt142
发表时间: 2014-09-01
影响因子: 6.6
作者:
Koutsouleris, Nikolaos;Davatzikos, Christos;Meisenzahl, Eva
通讯作者: Meisenzahl, Eva
DOI: 10.1111/epi.13479
发表时间: 2016-09-01
期刊: EPILEPSIA
影响因子: 5.6
作者:
Glennon, Jennifer M.;Weiss-Croft, Louise;Baldeweg, Torsten
通讯作者: Baldeweg, Torsten