語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The Role of Antipodal Connectivity S...
~
Karaman, Bayazit.
The Role of Antipodal Connectivity Structure on Cognitive Functions and Mental Disorders.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Role of Antipodal Connectivity Structure on Cognitive Functions and Mental Disorders.
作者:
Karaman, Bayazit.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, 2018
面頁冊數:
124 p.
附註:
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
附註:
Adviser: Kamran Iqbal.
Contained By:
Dissertation Abstracts International80-02B(E).
標題:
Computer science.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10786804
ISBN:
9780438394582
The Role of Antipodal Connectivity Structure on Cognitive Functions and Mental Disorders.
Karaman, Bayazit.
The Role of Antipodal Connectivity Structure on Cognitive Functions and Mental Disorders.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 124 p.
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Thesis (Ph.D.)--University of Arkansas at Little Rock, 2018.
Understanding physiological processes in the brain requires formal system models. Furthermore, connectivity is a core component of such models. According to recent studies, 70% of all information within the cortical regions in the brain passed through only 20% of information processing nodes, commonly referred as "Connector Hub Nodes" (CHNs). Knowledge of these CHNs not only help to understand the information processing behavior of the cortex but also reveals the impact of neurogenerative diseases that affect the functional brain connectivity. CHNs have been previously identified using functional magnetic resonance imaging (f-MRI) method, however, we believe that Electroencephalography (EEG), despite its low spatial resolution, can provide a better perspective on cognitive dynamics. This study, therefore, aims at discovering the Antipodal Connectivity Structures (ACS) in the brain using EEG data. It further introduces two potential cognitive biomarkers, the Antipodal Hub Nodes (AHNs) and the Antipodal Entropy (AE). In this regard, this study tries to answer the following questions: What are the factors affecting the occurrence frequencies of AHNs? Is AHN occurrence related to the cognitive task at hand? If so, is there a direct correlation between the occurrence rate and distinct cognitive functions? Furthermore, what are the differences between healthy and cognitively disabled brain, in terms of AE? As per our experimental results, occurrence of AHNs was observed earlier in the younger group than the older group using visual stimulus. A positive correlation between the number of AHNs and their amplitude was discovered at earlier components (P1 and N1) in auditory and visual stimuli. Furthermore, Katz Fractal Dimension provided the highest accuracy (93.1 %) for classification of Obsessive Compulsive Disorder (OCD) versus the Antipodal Entropy (78.3 %). The AHN analysis also revealed that using network resources in the brain changed with age. Later AHN connectivity (160 ms) and increased activity on prefrontal regions in older subjects showed that such compensatory mechanism for low-level tasks could be a useful strategy to achieve similar success as younger subjects. This study also suggests that OCD not only affects the frontal lobe, but also can involve the parietal lobe (Higuchi Dimension) and the occipital lobe (Katz Fractal Dimension).
ISBN: 9780438394582Subjects--Topical Terms:
199325
Computer science.
The Role of Antipodal Connectivity Structure on Cognitive Functions and Mental Disorders.
LDR
:03331nmm a2200289 4500
001
547559
005
20190513114556.5
008
190715s2018 ||||||||||||||||| ||eng d
020
$a
9780438394582
035
$a
(MiAaPQ)AAI10786804
035
$a
(MiAaPQ)ualr:10757
035
$a
AAI10786804
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Karaman, Bayazit.
$3
826868
245
1 4
$a
The Role of Antipodal Connectivity Structure on Cognitive Functions and Mental Disorders.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
124 p.
500
$a
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500
$a
Adviser: Kamran Iqbal.
502
$a
Thesis (Ph.D.)--University of Arkansas at Little Rock, 2018.
520
$a
Understanding physiological processes in the brain requires formal system models. Furthermore, connectivity is a core component of such models. According to recent studies, 70% of all information within the cortical regions in the brain passed through only 20% of information processing nodes, commonly referred as "Connector Hub Nodes" (CHNs). Knowledge of these CHNs not only help to understand the information processing behavior of the cortex but also reveals the impact of neurogenerative diseases that affect the functional brain connectivity. CHNs have been previously identified using functional magnetic resonance imaging (f-MRI) method, however, we believe that Electroencephalography (EEG), despite its low spatial resolution, can provide a better perspective on cognitive dynamics. This study, therefore, aims at discovering the Antipodal Connectivity Structures (ACS) in the brain using EEG data. It further introduces two potential cognitive biomarkers, the Antipodal Hub Nodes (AHNs) and the Antipodal Entropy (AE). In this regard, this study tries to answer the following questions: What are the factors affecting the occurrence frequencies of AHNs? Is AHN occurrence related to the cognitive task at hand? If so, is there a direct correlation between the occurrence rate and distinct cognitive functions? Furthermore, what are the differences between healthy and cognitively disabled brain, in terms of AE? As per our experimental results, occurrence of AHNs was observed earlier in the younger group than the older group using visual stimulus. A positive correlation between the number of AHNs and their amplitude was discovered at earlier components (P1 and N1) in auditory and visual stimuli. Furthermore, Katz Fractal Dimension provided the highest accuracy (93.1 %) for classification of Obsessive Compulsive Disorder (OCD) versus the Antipodal Entropy (78.3 %). The AHN analysis also revealed that using network resources in the brain changed with age. Later AHN connectivity (160 ms) and increased activity on prefrontal regions in older subjects showed that such compensatory mechanism for low-level tasks could be a useful strategy to achieve similar success as younger subjects. This study also suggests that OCD not only affects the frontal lobe, but also can involve the parietal lobe (Higuchi Dimension) and the occipital lobe (Katz Fractal Dimension).
590
$a
School code: 1204.
650
4
$a
Computer science.
$3
199325
690
$a
0984
710
2
$a
University of Arkansas at Little Rock.
$b
Computer Science.
$3
826869
773
0
$t
Dissertation Abstracts International
$g
80-02B(E).
790
$a
1204
791
$a
Ph.D.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10786804
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000163738
電子館藏
1圖書
學位論文
TH 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10786804
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入