3D-CNN Auxiliary Diagnosis Algorithm for Migraine Without Aura

doi:10.3778/j.issn.1002-8331.2008-0222

Computer Engineering and Applications ›› 2022, Vol. 58 ›› Issue (4): 169-176.DOI: 10.3778/j.issn.1002-8331.2008-0222

• Pattern Recognition and Artificial Intelligence • Previous Articles Next Articles

3D-CNN Auxiliary Diagnosis Algorithm for Migraine Without Aura

LI Xiang, WEI Benzheng, WU Hongyun, LI Xuzhou, HONG Yanfei, CONG Jinyu

1.College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
2.Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, Shandong 266112, China
3.Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, Shandong 266112, China
4.Encephalopathy Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
5.School of Information Engineering, Shandong Youth University of Political Science, Jinan 250103, China

Online:2022-02-15 Published:2022-02-15

无先兆偏头痛3D-CNN辅助诊断算法

李翔，魏本征，吴宏赟，李徐周，洪雁飞，丛金玉

1.山东中医药大学智能与信息工程学院，济南 250355
2.山东中医药大学医学人工智能研究中心，山东青岛 266112
3.山东中医药大学青岛中医药科学院，山东青岛 266112
4.山东中医药大学附属医院脑病科，济南 250014
5.山东青年政治学院信息工程学院，济南 250103

Abstract

LI Xiang, WEI Benzheng, WU Hongyun, LI Xuzhou, HONG Yanfei, CONG Jinyu. 3D-CNN Auxiliary Diagnosis Algorithm for Migraine Without Aura[J]. Computer Engineering and Applications, 2022, 58(4): 169-176.

李翔, 魏本征, 吴宏赟, 李徐周, 洪雁飞, 丛金玉. 无先兆偏头痛3D-CNN辅助诊断算法[J]. 计算机工程与应用, 2022, 58(4): 169-176.

[1] SCHWEDT T J，CHIANG C C，CHONG C D，et al.Functional MRI of migraine[J].The Lancet Neurology，2015，14（1）：81-91.
[2] VOS T，ALLEN C，ARORA M，et al.Global，regional，and national incidence，prevalence，and years lived with disability for 310 diseases and injuries，1990-2015：a systematic analysis for the global burden of disease study 2015[J].The Lancet，2016，388（10053）：1545-1602.
[3] YU S Y，LIU R Z，ZHAO G，et al.The prevalence and burden of primary headaches in China：a population based doortodoor survey[J].Headache：The Journal of Head and Face Pain，2012，52（4）：582-591.
[4] SWARTZ R H，KERN R Z.Migraine is associated with magnetic resonance imaging white matter abnormalities：a meta-analysis[J].Archives of Neurology，2004，61（9）：1366-1368.
[5] ARNOLD M.Headache classification committee of the international headache society（IHS） the international classification of headache disorders，3rd edition[J].Cephalalgia，2018，38（1）：1-211.
[6] 代林泉，王静杰，李咏梅，等.偏头痛的多模态MRI研究进展[J].磁共振成像，2019，10（5）：384-387.
DAI L Q，WANG J J，LI Y M，et al.Research processing of multimodal MRI in migraine[J].Chinese Journal of Magnetic Resonance Imaging，2019，10（5）：384-387.
[7] FOX M D，SNYDER A Z，VINCENT J L，et al.The human brain is intrinsically organized into dynamic，anticorrelated functional networks[J].Proceedings of the National Academy of Sciences，2005，102（27）：9673-9678.
[8] 陈怡，余成新.基于静息态功能磁共振成像的静态及动态功能连接分析方法研究进展[J].磁共振成像，2019，10（8）：637-640.
CHEN Y，YU C X.Static and dynamic functional connectivity analysis based on resting state functional magnetic resonance imaging and its progress[J].Chinese Journal of Magnetic Resonance Imaging，2019，10（8）：637-640.
[9] TESSITORE A，RUSSO A，GIORDANO A，et al.Disrupted default mode network connectivity in migraine without aura[J].The Journal of Headache and Pain，2013，14（1）：1-7.
[10] COPPOLA G，DI RENZO A，PETOLICCHIO B，et al.Aberrant interactions of cortical networks in chronic migraine：a resting-state fMRI study[J].Neurology，2019，92（22）：e2550-e2558.
[11] WEI H L，ZHOU X，CHEN Y C，et al.Impaired intrinsic functional connectivity between the thalamus and visual cortex in migraine without aura[J].The Journal of Headache and Pain，2019，20（1）：1-9.
[12] SOHEILI-NEZHAD S，SEDGHI A，SCHWESER F，et al.Structural and functional reorganization of the brain in migraine without aura[J].Frontiers in Neurology，2019，10：442.
[13] LI Z J，LAN L，ZENG F，et al.The altered right frontoparietal network functional connectivity in migraine and the modulation effect of treatment[J].Cephalalgia，2017，37（2）：161-176.
[14] 刘宇晨.基于多尺度ICA方法与多模态皮层结构特征的无先兆偏头痛患者的脑机制研究[D].西安：西安电子科技大学，2018.
LIU Y C.Brain mechanism study of migraine patients without aura based on multi-scale ICA methods and cortical structural analysis[D].Xi’an：Xidian University，2018.
[15] CHONG C D，GAW N，FU Y，et al.Migraine classification using magnetic resonance imaging resting-state functional connectivity data[J].Cephalalgia，2017，37（9）：828-844.
[16] TU Y H，ZENG F，LAN L，et al.An fMRI-based neural marker for migraine without aura[J].Neurology，2020，94（7）：e741-e751.
[17] ZHANG Q M，WU Q Z，ZHANG J R，et al.Discriminative analysis of migraine without aura：using functional and structural MRI with a multi-feature classification approach[J].PLoS One，2016，11（9）：e0163875.
[18] CALHOUN V D，LIU J，ADALI T.A review of group ICA for fMRI data and ICA for joint inference of imaging，genetic，and ERP data[J].Neuroimage，2009，45（1）：S163-S172.
[19] 杜宇慧，桂志国，刘迎军，等.基于独立成分分析的脑功能网络分析方法综述[J].生物物理学报，2013，29（4）：266-275.
DU Y H，GUI Z G，LIU Y J，et al.Review of independent component analysis methods for brain functional networks[J].Acta Biophysica Sinica，2013，29（4）：266-275.
[20] ERHARDT E B，RACHAKONDA S，BEDRICK E J，et al.Comparison of multi-subject ICA methods for analysis of fMRI data[J].Human Brain Mapping，2011，32（12）：2075-2095.
[21] BECKMANN C F，MACKAY C E，FILIPPINI N，et al.Group comparison of resting-state FMRI data using multi-subject ICA and dual regression[J].Neuroimage，2009，47（S1）：S148.
[22] DU Y H，FAN Y.Group information guided ICA for fMRI data analysis[J].Neuroimage，2013，69：157-197.
[23] KERMANY D S，GOLDBAUM M，CAI W，et al.Identifying medical diagnoses and treatable diseases by image-based deep learning[J].Cell，2018，172（5）：1122-1131.
[24] SUK H I，SHEN D.Deep learning-based feature representation for AD/MCI classification[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention.Berlin，Heidelberg：Springer，2013：583-590.
[25] LECUN Y，BENGIO Y，HINTON G.Deep learning[J].Nature，2015，521（7553）：436-444.
[26] YANG H，ZHANG J R，LIU Q H，et al.Multimodal MRI-based classification of migraine：using deep learning convolutional neural network[J].Biomedical Engineering Online，2018，17（1）：138.
[27] HAN Z Y，WEI B Z，HONG Y F，et al.Accurate screening of COVID-19 using attention based deep 3D multiple instance learning[J].IEEE Transactions on Medical Imaging，2020，39（8）：2584-2595.
[28] LI T Y，WEI B Z，CONG J Y，et al.Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture[J].Computers in Biology and Medicine，2020，118：103659.
[29] QURESHI M N I，OH J，LEE B.3D-CNN based discrimination of schizophrenia using resting-state fMRI[J].Artificial Intelligence in Medicine，2019，98：10-17.
[30] KAM T E，ZHANG H，SHEN D.A novel deep learning framework on brain functional networks for early MCI diagnosis[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention.Cham：Springer，2018：293-301.
[31] SMITH S M，FOX P T，MILLER K L，et al.Correspondence of the brain’s functional architecture during activation and rest[J].Proceedings of the National Academy of Sciences，2009，106（31）：13040-13045.
[32] SZEGEDY C，VANHOUCKE V，IOFFE S，et al.Rethinking the inception architecture for computer vision[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition，2016：2818-2826.
[33] PASZKE A，GROSS S，MASSA F，et al.PyTorch：an imperative style，high-performance deep learning library[C]//Advances in Neural Information Processing Systems，2019：8024-8035.
[34] HARA K，KATAOKA H，SATOH Y.Can spatiotemporal 3D CNNs retrace the history of 2D CNNs and ImageNet?[C]//2018 IEEE Conference on Computer Vision and Pattern Recognition，2018：6546-6555.
[35] ZHU D，CHANG J，FREEMAN S，et al.Changes of functional connectivity in the left frontoparietal network following aphasic stroke[J].Frontiers in Behavioral Neuroscience，2014，8：167.

3D-CNN Auxiliary Diagnosis Algorithm for Migraine Without Aura

无先兆偏头痛3D-CNN辅助诊断算法

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