東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Functional Brain Networks and Struct...

Neyland, Blake R.

Linked to FindBook

Google Book

Amazon

博客來

Functional Brain Networks and Structural Pathology: Insights into the Neural Mechanisms of Resilience.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Functional Brain Networks and Structural Pathology: Insights into the Neural Mechanisms of Resilience./
Author:	Neyland, Blake R.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	179 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
Subject:	Aging. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716715
ISBN:	9798544273189

Functional Brain Networks and Structural Pathology: Insights into the Neural Mechanisms of Resilience.
Neyland, Blake R.

Functional Brain Networks and Structural Pathology: Insights into the Neural Mechanisms of Resilience. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 179 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--Wake Forest University, 2021.

.

The world's population is aging at a rapid rate and healthcare costs on society are expected to increase significantly. A primary concern of older adults is loss of independence, which is often driven by mobility decline. However, despite previous work, there is still unexplained variance in physical function of older adults. Interestingly, about 30% of older adults show no cognitive or physical deficits despite increased pathologic burden within the brain. Physical resilience with age is now considered a key feature of healthy aging, but our understanding of the development of and mechanisms of resilience are limited. Neuroimaging studies, functional brain networks studies in particular, offer unique opportunities to study mobility decline and physical resilience within the brain even prior to the irreversible accumulation of structural pathology. This dissertation uses data from the Brain Networks and Mobility (B-NET) to investigate three important gaps in the current literature. The study in Chapter 2 aimed to characterize the effect of motor imagery (MI) on graph theory brain network architecture in an effort to expand the number of techniques available to study the neural correlates of mobility. Our overall hypothesis was that resilient individuals would display shifts in functional connectivity when compared with their non-resilient counterparts. Analyses in Chapter 3 assessed differences in functional connectivity between resilient and non-resilient individuals grouped by scores of the short physical performance battery (SPPB) and white matter hyperintensity (WMH) volume. Finally, Chapter 4 expanded upon Chapter 3 by examining differences in functional connectivity between resilient amyloid positive (Aβ+) individuals and those who are amyloid negative (Aβ-). We first identified pathology-specific effects on the consistency of sensorimotor community structure (SMN-CS) such that Aβ accumulation resulted in decreases in consistency, despite no decrease in mobility scores, while no significant effect of WMH volume was observed. We then characterized a potentially resilient-specific mechanism across Chapters 3 & 4 where resilient participants displayed a unique pattern of second-order connections from the SMN to the anterior cingulate cortex (ACC). To our knowledge, these are the first studies to characterize the neural mechanisms of physical resilience and provide a theoretical framework to study resilience using physical function, brain structure, and functional connectivity.

ISBN: 9798544273189Subjects--Topical Terms:

543123
Aging.
Subjects--Index Terms:

Alzheimer's Disease

Functional Brain Networks and Structural Pathology: Insights into the Neural Mechanisms of Resilience.
LDR:03782nmm a2200421 4500 001 2399688
005 20240916065944.5
006 m o d
007 cr#unu||||||||
008 251215s2021 ||||||||||||||||| ||eng d
020 $a 9798544273189
035 $a (MiAaPQ)AAI28716715
035 $a AAI28716715
040 $a MiAaPQ $c MiAaPQ
100 1 $a Neyland, Blake R. $3 3769662
245 1 0 $a Functional Brain Networks and Structural Pathology: Insights into the Neural Mechanisms of Resilience.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 179 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
500 $a Advisor: Hugenschmidt, Christina E.
502 $a Thesis (Ph.D.)--Wake Forest University, 2021.
506 $a .
520 $a The world's population is aging at a rapid rate and healthcare costs on society are expected to increase significantly. A primary concern of older adults is loss of independence, which is often driven by mobility decline. However, despite previous work, there is still unexplained variance in physical function of older adults. Interestingly, about 30% of older adults show no cognitive or physical deficits despite increased pathologic burden within the brain. Physical resilience with age is now considered a key feature of healthy aging, but our understanding of the development of and mechanisms of resilience are limited. Neuroimaging studies, functional brain networks studies in particular, offer unique opportunities to study mobility decline and physical resilience within the brain even prior to the irreversible accumulation of structural pathology. This dissertation uses data from the Brain Networks and Mobility (B-NET) to investigate three important gaps in the current literature. The study in Chapter 2 aimed to characterize the effect of motor imagery (MI) on graph theory brain network architecture in an effort to expand the number of techniques available to study the neural correlates of mobility. Our overall hypothesis was that resilient individuals would display shifts in functional connectivity when compared with their non-resilient counterparts. Analyses in Chapter 3 assessed differences in functional connectivity between resilient and non-resilient individuals grouped by scores of the short physical performance battery (SPPB) and white matter hyperintensity (WMH) volume. Finally, Chapter 4 expanded upon Chapter 3 by examining differences in functional connectivity between resilient amyloid positive (Aβ+) individuals and those who are amyloid negative (Aβ-). We first identified pathology-specific effects on the consistency of sensorimotor community structure (SMN-CS) such that Aβ accumulation resulted in decreases in consistency, despite no decrease in mobility scores, while no significant effect of WMH volume was observed. We then characterized a potentially resilient-specific mechanism across Chapters 3 & 4 where resilient participants displayed a unique pattern of second-order connections from the SMN to the anterior cingulate cortex (ACC). To our knowledge, these are the first studies to characterize the neural mechanisms of physical resilience and provide a theoretical framework to study resilience using physical function, brain structure, and functional connectivity.
590 $a School code: 0248.
650 4 $a Aging. $3 543123
650 4 $a Neurosciences. $3 588700
650 4 $a Public health. $3 534748
650 4 $a Mental health. $3 534751
650 4 $a Disability studies. $3 543687
653 $a Alzheimer's Disease
653 $a Functional brain networks
653 $a Brain Networks and Mobility
653 $a Reserve
653 $a Resilience
690 $a 0493
690 $a 0317
690 $a 0201
690 $a 0347
690 $a 0573
710 2 $a Wake Forest University. $b Neuroscience. $3 3769663
773 0 $t Dissertations Abstracts International $g 83-03B.
790 $a 0248
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716715