CN110326054A - 确定参与执行给定过程的至少一个脑网络的方法、装置和程序 - Google Patents

确定参与执行给定过程的至少一个脑网络的方法、装置和程序 Download PDF

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Publication number
CN110326054A
CN110326054A CN201880013973.5A CN201880013973A CN110326054A CN 110326054 A CN110326054 A CN 110326054A CN 201880013973 A CN201880013973 A CN 201880013973A CN 110326054 A CN110326054 A CN 110326054A
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brain
matrix
network
data
component
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CN201880013973.5A
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English (en)
Chinese (zh)
Inventor
法布里斯·温德灵
马哈茂德·哈桑
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Universite de Rennes 1
Institut National de la Sante et de la Recherche Medicale INSERM
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Universite de Rennes 1
Institut National de la Sante et de la Recherche Medicale INSERM
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Publication of CN110326054A publication Critical patent/CN110326054A/zh
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082—Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/372—Analysis of electroencephalograms
    • A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/377—Electroencephalography [EEG] using evoked responses
    • A61B5/378—Visual stimuli
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4094—Diagnosing or monitoring seizure diseases, e.g. epilepsy

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Neurology (AREA)
  • Psychology (AREA)
  • Psychiatry (AREA)
  • Neurosurgery (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Physiology (AREA)
  • Developmental Disabilities (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
CN201880013973.5A 2017-02-27 2018-02-14 确定参与执行给定过程的至少一个脑网络的方法、装置和程序 Pending CN110326054A (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
FR1751585 2017-02-27
FR1751585A FR3063378A1 (https=) 2017-02-27 2017-02-27
FR1756378 2017-07-06
FR1756378A FR3063379B1 (fr) 2017-02-27 2017-07-06 Procede, dispositif et programme pour determiner au moins un reseau cerebral implique dans une realisation d'un processus donne
PCT/EP2018/053726 WO2018153762A1 (fr) 2017-02-27 2018-02-14 Procédé, dispositif et programme pour déterminer au moins un réseau cérébral impliqué dans une réalisation d'un processus donné

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CN110326054A true CN110326054A (zh) 2019-10-11

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CN201880013973.5A Pending CN110326054A (zh) 2017-02-27 2018-02-14 确定参与执行给定过程的至少一个脑网络的方法、装置和程序

Country Status (8)

Country Link
US (1) US20190374154A1 (https=)
EP (1) EP3586339A1 (https=)
JP (1) JP2020510470A (https=)
CN (1) CN110326054A (https=)
CA (1) CA3063321A1 (https=)
FR (2) FR3063378A1 (https=)
IL (1) IL268893A (https=)
WO (1) WO2018153762A1 (https=)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113558602B (zh) * 2021-06-11 2023-11-14 杭州电子科技大学 一种假设驱动的认知障碍脑网络分析方法
CN119632578A (zh) * 2024-11-27 2025-03-18 河北师范大学 基于脑电信号利用EEGNet模型识别精神分裂症的方法

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* Cited by examiner, † Cited by third party
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WO2019069955A1 (ja) 2017-10-03 2019-04-11 株式会社国際電気通信基礎技術研究所 判別装置、うつ症状の判別方法、うつ症状のレベルの判定方法、うつ病患者の層別化方法、うつ症状の治療効果の判定方法及び脳活動訓練装置
JP7043374B2 (ja) * 2018-09-18 2022-03-29 株式会社日立製作所 多機能神経フィードバックシステム及び多機能神経フィードバック方法
CN115484864B (zh) * 2020-04-06 2025-06-27 株式会社国际电气通信基础技术研究所 脑功能连接相关值的聚类装置、聚类系统、聚类方法、脑活动标记物分类系统、以及程序产品
CN111477299B (zh) * 2020-04-08 2023-01-03 广州艾博润医疗科技有限公司 结合脑电检测分析控制的声电刺激神经调控方法及装置
EP3925520A1 (en) * 2020-06-16 2021-12-22 Institut Mines Telecom Method for selecting features from electroencephalogram signals
CN112401905B (zh) * 2020-11-11 2021-07-30 东南大学 一种基于源定位和脑网络的自然动作脑电识别方法
CN112971808B (zh) * 2021-02-08 2023-10-13 中国人民解放军总医院 一种脑地图构建及其处理方法
KR102502399B1 (ko) * 2021-03-25 2023-02-23 비웨이브 주식회사 조현병에 대한 정보 제공 방법 및 이를 이용한 조현병에 대한 정보 제공용 디바이스
CN113988122B (zh) * 2021-10-19 2024-11-15 杭州电子科技大学 一种基于深度学习及图像特征的脑电数据分类方法
CN114463607B (zh) * 2022-04-08 2022-07-26 北京航空航天大学杭州创新研究院 基于h无穷滤波方式构建因效脑网络的方法和装置
CN114795117B (zh) * 2022-04-14 2024-05-14 南开大学 基于图信号处理的脑信号分析方法
WO2024052073A1 (en) * 2022-09-09 2024-03-14 Bitsphi Diagnosis Sl. Apparatus for generating a score that is indicative for a cognitive condition like attention deficit hyperactivity disorder
CN118986319B (zh) * 2024-06-20 2025-09-30 天津大学 基于脑网络梯度的大脑结构-功能耦合的定量方法及装置
CN118732853B (zh) * 2024-07-11 2025-03-07 常州工学院 一种基于随机矩阵分析的脑功能网络全节点检测方法
CN118917347A (zh) * 2024-10-10 2024-11-08 南昌大学 一种非均匀动态脑网络节点确定方法及系统

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CN102722727A (zh) * 2012-06-11 2012-10-10 杭州电子科技大学 基于脑功能网络邻接矩阵分解的脑电特征提取方法

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US9737230B2 (en) * 2011-01-06 2017-08-22 The Johns Hopkins University Seizure detection device and systems
WO2012170876A2 (en) * 2011-06-09 2012-12-13 Wake Forest University Health Sciences Agent-based brain model and related methods
US20140107521A1 (en) * 2012-10-12 2014-04-17 Case Western Reserve University Functional brain connectivity and background noise as biomarkers for cognitive impairment and epilepsy

Patent Citations (1)

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CN102722727A (zh) * 2012-06-11 2012-10-10 杭州电子科技大学 基于脑功能网络邻接矩阵分解的脑电特征提取方法

Non-Patent Citations (1)

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Title
MAHMOUD HASSAN 等: "Identification of Interictal Epileptic Networks from Dense-EEG", BRAIN TOPOGRAPHY, vol. 30, no. 1, pages 60 - 76, XP036128483, DOI: 10.1007/s10548-016-0517-z *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113558602B (zh) * 2021-06-11 2023-11-14 杭州电子科技大学 一种假设驱动的认知障碍脑网络分析方法
CN119632578A (zh) * 2024-11-27 2025-03-18 河北师范大学 基于脑电信号利用EEGNet模型识别精神分裂症的方法

Also Published As

Publication number Publication date
IL268893A (en) 2019-10-31
US20190374154A1 (en) 2019-12-12
JP2020510470A (ja) 2020-04-09
FR3063378A1 (https=) 2018-08-31
CA3063321A1 (en) 2018-08-30
WO2018153762A1 (fr) 2018-08-30
EP3586339A1 (fr) 2020-01-01
FR3063379B1 (fr) 2022-06-17
FR3063379A1 (fr) 2018-08-31

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Application publication date: 20191011