Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa

doi:10.1002/jmri.27615

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa
	Mo, Jiajie 2,3; Wei, Wei 4,5; Liu, Zhenyu 1,4,6; Zhang, Jianguo 2,3; Ma, Yanshan 7; Sang, Lin 7; Hu, Wenhan 2,3; Zhang, Chao 2,3; Wang, Yao 2,3; Wang, Xiu 2,3
刊名	JOURNAL OF MAGNETIC RESONANCE IMAGING
	2021-04-23
页码	11
关键词	focal cortical dysplasia temporal neocortex neuroimaging phenotyping cross‐ modalities correlation
ISSN号	1053-1807
DOI	10.1002/jmri.27615
通讯作者	Tian, Jie(jie.tian@ia.ac.cn) ; Zhang, Kai(zhangkai62035@sina.com)
英文摘要	Background Focal cortical dysplasia IIIa (FCD IIIa) is a common histopathological finding in temporal lobe epilepsy. However, subtle alterations in the temporal neocortex of FCD IIIa renders presurgical diagnosis and definition of the resective range challenging. Purpose To explore neuroimaging phenotyping and structural-metabolic-electrophysiological alterations in FCD IIIa. Study Type Retrospective. Subjects One hundred and sixty-seven subjects aged 4-39 years, including 64 FCD IIIa patients, 89 healthy controls and 14 FCD I patients as disease controls. Field Strength/Sequence 3 T, fast-spin-echo T-2-weighted fluid-attenuated inversion recovery (FLAIR), synthetic T-1-weighted magnetization prepared rapid acquisition gradient echo (MPRAGE). Assessment Surface-based linear model was applied to reveal neuroimaging phenotyping in FCD IIIa and assess its relationship with clinical variables. Logistic regression was implemented to identify FCD IIIa patients. Epileptogenicity mapping (EM) was conducted to explore the structural-metabolic-electrophysiological alterations in temporal neocortex of FCD IIIa. Statistical Tests Student's t-test was applied to determine the significance of paired differences. Calibration curves were plotted to assess the goodness-of-fit (GOF) of the models, combined with the Hosmer-Lemeshow test. Results FCD IIIa exhibited widespread hyperintensities in temporal neocortex, and these alterations correlated with disease duration (P-uncorrected < 0.01). Machine learning model accurately identified 84.4% of FCD IIIa patients, 92.1% of healthy controls and 92.9% of FCD I patients. Cross-modality analysis showed a significant negative correlation between FLAIR hyperintensity and positron emission tomography hypometabolism P < 0.01). Furthermore, epileptogenic cortices were located predominantly in brain regions with FLAIR hyperintensity and hypometabolism. Data Conclusion FCD IIIa exhibited widespread temporal neocortex FLAIR hyperintensity. Automated machine learning of neuroimaging patterns is conducive for accurate identification of FCD IIIa. The degree and distribution of morphological alterations related to the extent of metabolic and epileptogenic abnormalities, lending support to its potential value for reduction of the radiative and invasive approaches during presurgical workup. Level of Evidence 3 Technical Efficacy Stage 2
资助项目	National Natural Science Foundation of China[81771399] ; National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[82071457] ; National Natural Science Foundation of China[92059103] ; Youth Innovation Promotion Association CAS[2019136] ; Capital's Funds for Health Improvement and Research[2020-2-1076] ; Natural Science Basic Research Program of Shaanxi[2020JQ-836]
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
语种	英语
出版者	WILEY
WOS记录号	WOS:000642584300001
资助机构	National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; Capital's Funds for Health Improvement and Research ; Natural Science Basic Research Program of Shaanxi
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44206]
专题	自动化研究所_中国科学院分子影像重点实验室
通讯作者	Tian, Jie; Zhang, Kai
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 2.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China 3.Capital Med Univ, Beijing Neurosurg Inst, Dept Neurosurg, Beijing, Peoples R China 4.Chinese Acad Sci, Beijing Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, CAS Key Lab Mol Imaging,Inst Automat, Beijing, Peoples R China 5.Xian Polytech Univ, Sch Elect & Informat, Xian, Peoples R China 6.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China 7.Beijing Fengtai Hosp, Dept Neurosurg, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Mo, Jiajie,Wei, Wei,Liu, Zhenyu,et al. Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2021:11.
APA	Mo, Jiajie.,Wei, Wei.,Liu, Zhenyu.,Zhang, Jianguo.,Ma, Yanshan.,...&Zhang, Kai.(2021).Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa.JOURNAL OF MAGNETIC RESONANCE IMAGING,11.
MLA	Mo, Jiajie,et al."Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa".JOURNAL OF MAGNETIC RESONANCE IMAGING (2021):11.