서지주요정보
Functional connectivity studies of parkinson = 파킨스병 및 주요우울장애 진단을 위한 fMRI 와 EEG 기반 뇌회로 연결망 분석
서명 / 저자 Functional connectivity studies of parkinson = 파킨스병 및 주요우울장애 진단을 위한 fMRI 와 EEG 기반 뇌회로 연결망 분석 / Maryam Ghahremani.
저자명 Maryam Ghahremani ; 마리암 가흐레마니
발행사항 [대전 : 한국과학기술원, 2013].
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등록번호

8025858

소장위치/청구기호

학술문화관(문화관) 보존서고

MBIS 13030

휴대폰 전송

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초록정보

The aim of this study was to conduct a resting analysis in Parkinson`s disease and major depression disorder by means of analyzing fMRI and EEG datasets, respectively. Parkinson`s disease is a neurodegenerative brain disorder that leads to the impairment of the patients` motor function as well as cognition as it progresses. This study tried to investigate the impact of the progression of Parkinson’s disease and the resulting cognitive deficits on the functional connectivity of the resting state network of the brain, with a special focus on the default mode network and salience network. Among the 84 patients with Parkinson’s disease, 8 patients with and 9 without cognitive impairment were included in this study. The resting state fMRI data was analyzed by the methods of seed-based correlation analysis, independent component analysis as well as the persistent homology analysis. The results indicated certain alterations in the patterns of networks connectivity. The functional connectivity of the default mode network was decreased in the cognitively impaired patients compared to the intact group with decreased connectivity of the medial prefrontal cortex within the network. Similar results were observed for the salience network, with its functional connectivity decreased in the cognitively impaired group. Moreover, the results of the persistent homology analysis indicated that overall, the cognitively impaired group had a more globally connected and less locally connected network compared to the intact group. Our findings suggest that among the different resting state networks of the brain that might be affected by the progression of the disease, the default mode network and the salience network are two important resting state networks whose functional connectivity is altered in Parkinson’s disease. Major depressive disorder (MDD) is a mental disorder that is clinically characterized by one or more major depressive episodes and in most patients that may reoccur throughout patients` life. The EEG datasets acquired from 45 MDD patients and 53 normal subjects were used to analyze the impact of MDD on the network resting state connectivity. After obtaining the correlation between the channels, the persistent homology analysis was applied to observe the topological changes over a range of filtration values. The results did not show any significant differences of brain network connectivity between patients and controls in the alpha, beta and theta band. However, the results from delta band indicated that the barcodes of the patients group had slower slopes and longer tails in all intervals, implying that the MDD patients have more locally connected and less globally connected networks in delta frequency band.

The aim of this study was to conduct a resting analysis in Parkinson`s disease and major depression disorder by means of analyzing fMRI and EEG datasets, respectively. Parkinson`s disease is a neurodegenerative brain disorder that leads to the impairment of the patients` motor function as well as cognition as it progresses. This study tried to investigate the impact of the progression of Parkinson’s disease and the resulting cognitive deficits on the functional connectivity of the resting state network of the brain, with a special focus on the default mode network and salience network. Among the 84 patients with Parkinson’s disease, 8 patients with and 9 without cognitive impairment were included in this study. The resting state fMRI data was analyzed by the methods of seed-based correlation analysis, independent component analysis as well as the persistent homology analysis. The results indicated certain alterations in the patterns of networks connectivity. The functional connectivity of the default mode network was decreased in the cognitively impaired patients compared to the intact group with decreased connectivity of the medial prefrontal cortex within the network. Similar results were observed for the salience network, with its functional connectivity decreased in the cognitively impaired group. Moreover, the results of the persistent homology analysis indicated that overall, the cognitively impaired group had a more globally connected and less locally connected network compared to the intact group. Our findings suggest that among the different resting state networks of the brain that might be affected by the progression of the disease, the default mode network and the salience network are two important resting state networks whose functional connectivity is altered in Parkinson’s disease. Major depressive disorder (MDD) is a mental disorder that is clinically characterized by one or more major depressive episodes and in most patients that may reoccur throughout patients` life. The EEG datasets acquired from 45 MDD patients and 53 normal subjects were used to analyze the impact of MDD on the network resting state connectivity. After obtaining the correlation between the channels, the persistent homology analysis was applied to observe the topological changes over a range of filtration values. The results did not show any significant differences of brain network connectivity between patients and controls in the alpha, beta and theta band. However, the results from delta band indicated that the barcodes of the patients group had slower slopes and longer tails in all intervals, implying that the MDD patients have more locally connected and less globally connected networks in delta frequency band.

서지기타정보

서지기타정보
청구기호 {MBIS 13030
형태사항 viii, 83 p. : 삽도 ; 30 cm
언어 영어
일반주기 저자명의 한글표기 : 마리암 가흐레마니
지도교수의 영문표기 : Jong-Chul Ye
지도교수의 한글표기 : 예종철
공동지도교수의 영문표기 : Yong Jeong
공동지도교수의 한글표기 : 정용
학위논문 학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과,
서지주기 References : p.79-82
주제 Resting state network
functional connectivity
cognitive impairment
persistent homology
local and global connectivity
Resting state network
functional connectivity
cognitive impairment
persistent homology
local and global connectivity
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