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Showing results 1 to 6 of 6

1
A sparse graph model can directly identify resting-state functional connectivity of Alzheimer’s disease in fMRI

이영범; 이정현; 탁성호; 이강주; 예종철; 정용, 2014년도 대한뇌기능매핑학회 추계학술대회, pp.81 -, 대한뇌기능매핑학회, 2014-11-07

2
Disruption of default mode network connectivity occurs in the late-stage but not in the early-stage of MCI: Results from ADNI.

이익성; 유광선; 이영범; 창진영; 임지은; 윤보라; 정용, 대한신경과학회 2014년도 추계학술대회, 대한신경과학회, 2014-10-31

3
Dynamic functional connectivity analysis using transition-point time-window and clustering with optimized number of clusters in fMRI study = 뇌 상태 전환 시점 탐지 및 개수 최적화 클러스터링 기반 역동적인 기능적 뇌 연결성 분석방법link

Lee, Young-Beom; 이영범; et al, 한국과학기술원, 2017

4
Neural connectivity substrates of cognitive and motor dysfunction in Parkinson’s disease

유광선; 정선주; 정오현; 이영범; 유수연; 김미정; 정용, 2013 Annual meeting of Korean Society for Korean Human Brain Mapping, pp.54, Korean Society for Korean Human Brain Mapping, 2013-11-01

5
Subject specific ROIs for resting state Alzheimer’s disease classification

손승현; 이영범; 유광선; 나덕렬; 정용, 2013 Annual meeting of Korean Society for Korean Human Brain Mapping, pp.35, Korean Society for Korean Human Brain Mapping, 2013-11-01

6
Systemic network aggregation and segregation of time-varying connectivity with the task related network

이영범; 정용, 2015 Annual Meeting of Korean Society for Human Brain Mapping, Korean Society for Human Brain Mapping, 2015-11-06

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