Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (8): 10-13.doi: 10.6040/j.issn.1671-7554.0.2020.0577

• Special Topic on Brain Science and Brain Like Intelligence • Previous Articles     Next Articles

The application of brain-like intelligence in the frontiers of brain science

Tao JIANG1,2,*()   

  1. 1. Beijing Neurosurgical Institute, Beijing 100070, China
    2. Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
  • Received:2020-04-13 Online:2020-08-07 Published:2020-08-07
  • Contact: Tao JIANG E-mail:taojiang1964@163.com

RichHTML

61

PDF (PC)

935

Abstract:

Brain science and brain-like intelligence technology are promising for life science research in the future. Neurosurgery, as the only discipline with direct access to the brain, is bound to play a crucial role in the human brain project. Identifying technologies in neurosurgery include neuro-radiological and electrophysiological techniques. Combination of artificial intelligence and identifying technologies helps to accelerate the completion of the human brain project.

Key words: Brain science, Brain-like intelligence, Glioma, Human brain project, Brain function

CLC Number: 

  • R651
1 张华, 詹启敏. 脑计划与精准医学[J]. 中国研究型医院, 2016, 3 (6): 18- 21.
2 江涛. 神经外科功能区定位技术助力"脑计划"研究[J]. 中华神经外科疾病研究杂志, 2018, 17 (5): 385- 386.
3 Duffau H . The error of Broca: from the traditional localizationist concept to a connectomal anatomy of human brain[J]. J Chem Neuroanat, 2017, 89: 73- 81.
doi: 10.1016/j.jchemneu.2017.04.003
4 Fang S , Bai HX , Fan X , et al. A novel sequence: ZOOMit-blood oxygen level-dependent for motor-cortex localization[J]. Neurosurgery, 2020, 86 (2): E124- E132.
5 江涛, 陈新忠, 谢坚, 等. 功能区胶质瘤的术中直接电刺激判断核心手术技术[J]. 中国微侵袭神经外科杂志, 2005, 10 (4): 148- 150.
6 Herbet G , Moritz-Gasser S , Boiseau M , et al. Converging evidence for a cortico-subcortical network mediating lexical retrieval[J]. Brain, 2016, 139 (11): 3007- 3021.
doi: 10.1093/brain/aww220
7 Rech F , Herbet G , Gaudeau Y , et al. A probabilistic map of negative motor areas of the upper limb and face: a brain stimulation study[J]. Brain, 2019, 142 (4): 952- 965.
doi: 10.1093/brain/awz021
8 Tate MC , Herbet G , Moritz-Gasserss S , et al. Probabilistic map of critical functional regions of the human cerebral cortex: Broca's area revisited[J]. Brain, 2014, 137 (Pt 10): 2773- 2782.
9 Liang X , Wang J , He Y . Human connectome: Structural and functional brain networks[J]. Chinese Science Bulletin, 2010, 55 (16): 1565- 1583.
doi: 10.1360/972009-2150
10 Fang S , Li Y , Wang Y. , et al. Awake craniotomy for gliomas involving motor-related areas: classification and function recovery[J]. J Neurooncol, 2020, 148 (2): 317- 325.
doi: 10.1007/s11060-020-03520-w
11 Li Y , Liang Y , Sun Z , et al. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging[J]. Neuroradiology, 2019, 61 (11): 1229- 1237.
doi: 10.1007/s00234-019-02244-7
12 Li Y , Liu X , Qian Z , et al. Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature[J]. Eur Radiol, 2018, 28 (7): 2960- 2968.
doi: 10.1007/s00330-017-5267-0
13 Li Y , Liu X , Xu K , et al. MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis[J]. Eur Radiol, 2018, 28 (1): 356- 362.
doi: 10.1007/s00330-017-4964-z
14 Li Y , Qian Z , Xu K , et al. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach[J]. Neuroimage Clin, 2018, 17: 306- 311.
doi: 10.1016/j.nicl.2017.10.030
15 Liu X , Li Y , Li S , et al. IDH mutation-specific radiomic signature in lower-grade gliomas[J]. Aging (Albany NY), 2019, 11 (2): 673- 696.
16 Wang K , Wang Y , Fan X , et al. Regional specificity of 1p/19q co-deletion combined with radiological features for predicting the survival outcomes of anaplastic oligodendroglial tumor patients[J]. J Neurooncol, 2018, 136 (3): 523- 531.
doi: 10.1007/s11060-017-2673-8
17 Qian Z , Li Y , Fan X , et al. Molecular and clinical characterization of IDH associated immune signature in lower-grade gliomas[J]. Oncoimmunology, 2018, 7 (6): e1434466.
doi: 10.1080/2162402X.2018.1434466
18 Liu X , Li Y , Qian Z , et al. A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas[J]. Neuroimage Clin, 2018, 20: 1070- 1077.
doi: 10.1016/j.nicl.2018.10.014
19 Qian Z , Li Y , Fan X , et al. Prognostic value of a microRNA signature as a novel biomarker in patients with lower-grade gliomas[J]. J Neurooncol, 2018, 137 (1): 127- 137.
doi: 10.1007/s11060-017-2704-5
20 Qian Z , Li Y , Sun Z , et al. Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction[J]. Aging (Albany NY), 2018, 10 (10): 2884- 2899.
21 Wang Y , Wei W , Liu Z , et al. Predicting the type of tumor-related epilepsy in patients with low-grade gliomas: a radiomics study[J]. Front Oncol, 2020, 10: 235.
doi: 10.3389/fonc.2020.00235
22 Murray NM , Unberath M , Hager GD , et al. Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review[J]. J Neurointerv Surg, 2020, 12 (2): 156- 164.
doi: 10.1136/neurintsurg-2019-015135
23 Zhou LQ , Wu XL , Huang SY , et al. Lymph node metastasis prediction from primary breast cancer US images using deep learning[J]. Radiology, 2020, 294 (1): 19- 28.
24 Fitzgerald RC . Big data is crucial to the early detection of cancer[J]. Nat Med, 2020, 26 (1): 19- 20.
doi: 10.1038/s41591-019-0725-7
25 Abbasi J . Artificial intelligence improves breast cancer screening in study[J]. JAMA, 2020, 323 (6): 499.
doi: 10.1001/jama.2020.0370
26 Vogel JW , Vachon-Presseau E , Binette AP , et al. Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease[J]. Brain, 2018, 141 (6): 1871- 1883.
doi: 10.1093/brain/awy093
27 Wildman-Tobriner B , Buda M , Hoang JK , et al. Using artificial intelligence to revise ACR TI-RADS risk stratification of thyroid nodules: diagnostic accuracy and utility[J]. Radiology, 2019, 292 (1): 112- 119.
doi: 10.1148/radiol.2019182128
28 Lin L , Dou Q , Jin YM , et al. Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma[J]. Radiology, 2019, 291 (3): 677- 686.
doi: 10.1148/radiol.2019182012
29 Abbasi J . "Electronic nose" predicts immunotherapy response[J]. JAMA, 2019, 322 (18): 1756.
30 Esteva A , Brett K , Novoa RA , et al. Dermatologist-level classification of skin cancer with deep neural networks[J]. Nature, 2017, 542 (7639): 115- 118.
doi: 10.1038/nature21056
31 Leslie-Mazwi TM , Lev MH . Towards artificial intelligence for clinical stroke care[J]. Nat Rev Neurol, 2020, 16 (1): 5- 6.
doi: 10.1038/s41582-019-0287-9
32 McKinney SM , Sieniek M , Godbole V , et al. International evaluation of an AI system for breast cancer screening[J]. Nature, 2020, 577 (7788): 89- 94.
doi: 10.1038/s41586-019-1799-6
33 Park CM . Can artificial intelligence fix the reproducibility problem of radiomics?[J]. Radiology, 2019, 292 (2): 374- 375.
[1] LI Gang, XUE Hao, QIU Wei, ZHAO Rongrong. Research advances in the formation of glioma immunosuppressive microenvironment [J]. Journal of Shandong University (Health Sciences), 2020, 58(8): 67-73.
[2] WU Qiang, HE Zekun, LIU Ju, CUI Xiaomeng, SUN Shuang, SHI Wei. A research on multi-modal MRI analysis based on machine learning for brain glioma [J]. Journal of Shandong University (Health Sciences), 2020, 58(8): 81-87.
[3] CHEN Anjing, ZHANG Xun. The new strategies of targeting SUMOylation in the treatment of glioma [J]. Journal of Shandong University (Health Sciences), 2020, 58(8): 88-94.
[4] Xingang LI,Xin ZHANG,Anjing CHEN. The latest advances in human brain projects [J]. Journal of Shandong University (Health Sciences), 2020, 58(8): 5-9, 21.
[5] XU Jixi, CHEN Weijian. Diffuse midline glioma with H3 K27M mutation in the spinal cord: a case report [J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 96-101.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] SUO Dongyang, SHEN Fei, GUO Hao, LIU Lichang, YANG Huimin, YANG Xiangdong. Expression and mechanism of Tim-3 in animal model of drug-induced acute kidney injury[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 1 -6 .
[2] ZHANG Baowen, LEI Xiangli, LI Jinna, LUO Xiangjun, ZOU Rong. miR-21-5p targeted TIMP3 to inhibit proliferation and extracellular matrix accumulation of mesangial cells in Type II diabetic nephropathy mice[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 7 -14 .
[3] LONG Tingting, XIE Ming, ZHOU Lu, ZHU Junde. Effect of Noggin protein on learning and memory abilities and the dentate gyrus structure after cerebral ischemia reperfusion injury in mice[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 15 -23 .
[4] FU Jieqi, ZHANG Man, ZHANG Xiaolu, LI Hui, CHEN Hong. Molecular mechanism of Toll-like receptor 4 in the aggravation of blood lipid accumulation by inhibiting the peroxisome proliferator-activate receptor γ[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 24 -31 .
[5] MA Qingyuan, PU Peidong, HAN Fei, WANG Chao, ZHU Zhoujun, WANG Weishan, SHI Chenhui. Effect of miR-27b-3p regulating SMAD1 on osteosarcoma cell proliferation, migration and invasion[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 32 -37 .
[6] LI Ning, LI Juan, XIE Yan, LI Peilong, WANG Yunshan, DU Lutao, WANG Chuanxin. Expression of LncRNA AL109955.1 in 80 cases of colorectal cancer and its effect on cell proliferation, migration and invasion[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 38 -46 .
[7] SHI Shuang, LI Juan, MI Qi, WANG Yunshan, DU Lutao, WANG Chuanxin. Construction and application of a miRNAs prognostic risk assessment model of gastric cancer[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 47 -52 .
[8] XIAO Juan, XIAO Qiang, CONG Wei, LI Ting, DING Shouluan, ZHANG Yuan, SHAO Chunchun, WU Mei, LIU Jianing, JIA Hongying. Comparison of diagnostic efficacy of two kinds of thyroid imagine reporting and data systems[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 53 -59 .
[9] DING Xiangyun, YU Qingmei, ZHANG Wenfang, ZHUANG Yuan, HAO Jing. Correlation of the expression of insulin-like growth factor II in granulosa cells and ovulation induction outcomes of 84 patients with polycystic ovary syndrome[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 60 -66 .
[10] XU Yuxiang, LIU Yudong, ZHANG Peng, DUAN Ruisheng. A retrospective analysis of risk factors of cerebral microbleeds in 101 patients with cerebral small vessel disease[J]. Journal of Shandong University (Health Sciences), 2020, 58(7): 67 -71 .
Copyright 2018 © Editorial office of Journal of Shandong University (Health Sciences)
Supported by Beijing Magtech Co.Ltd