CL2017003460A1 - System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain. - Google Patents

System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain.

Info

Publication number
CL2017003460A1
CL2017003460A1 CL2017003460A CL2017003460A CL2017003460A1 CL 2017003460 A1 CL2017003460 A1 CL 2017003460A1 CL 2017003460 A CL2017003460 A CL 2017003460A CL 2017003460 A CL2017003460 A CL 2017003460A CL 2017003460 A1 CL2017003460 A1 CL 2017003460A1
Authority
CL
Chile
Prior art keywords
mci
invasive detection
early non
alzheimer
disease
Prior art date
Application number
CL2017003460A
Other languages
Spanish (es)
Inventor
Sitaram Ranganatha
Original Assignee
Univ Pontificia Catolica Chile
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Pontificia Catolica Chile filed Critical Univ Pontificia Catolica Chile
Priority to CL2017003460A priority Critical patent/CL2017003460A1/en
Priority to PCT/CL2018/050157 priority patent/WO2019126900A1/en
Publication of CL2017003460A1 publication Critical patent/CL2017003460A1/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

La presente invención consiste en un sistema y método para la detección no invasiva de enfermedad de Alzheimer (AD) o deterioro cognitivo leve (MCI). El sistema y método están basados en análisis de DTI, usado para discriminar pacientes basada en conjuntos de características de entrada desde 3 niveles diferentes de análisis del cerebro: nivel de vóxel, nivel de conexión y nivel de red.The present invention consists of a system and method for the non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI). The system and method are based on DTI analysis, used to discriminate patients based on sets of input characteristics from 3 different levels of brain analysis: voxel level, connection level and network level.

CL2017003460A 2017-12-28 2017-12-28 System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain. CL2017003460A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CL2017003460A CL2017003460A1 (en) 2017-12-28 2017-12-28 System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain.
PCT/CL2018/050157 WO2019126900A1 (en) 2017-12-28 2018-12-27 System and method for the non-invasive early detection of alzheimer's disease (ad) or mild cognitive impairment (mci)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CL2017003460A CL2017003460A1 (en) 2017-12-28 2017-12-28 System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain.

Publications (1)

Publication Number Publication Date
CL2017003460A1 true CL2017003460A1 (en) 2019-12-06

Family

ID=67064267

Family Applications (1)

Application Number Title Priority Date Filing Date
CL2017003460A CL2017003460A1 (en) 2017-12-28 2017-12-28 System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain.

Country Status (2)

Country Link
CL (1) CL2017003460A1 (en)
WO (1) WO2019126900A1 (en)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10463313B2 (en) * 2013-08-05 2019-11-05 Nikolaos KOUTSOULERIS Adaptive pattern recognition for psychosis risk modelling

Also Published As

Publication number Publication date
WO2019126900A1 (en) 2019-07-04

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CL2017003460A1 (en) System for early non-invasive detection of Alzheimer's disease (AD) or mild cognitive impairment (MCI), and method for early non-invasive detection of AD or MCI because the method is based on the ability of the system of the invention to determine the degree connection between the different sections of the brain.