서브메뉴
검색
White Matter Pathways and Cognition: Insights From Large-Scale Diffusion MRI Analyses
White Matter Pathways and Cognition: Insights From Large-Scale Diffusion MRI Analyses
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103527
- ISBN
- 9798280710993
- DDC
- 616
- 저자명
- Zekelman, Leo R.
- 서명/저자
- White Matter Pathways and Cognition: Insights From Large-Scale Diffusion MRI Analyses
- 발행사항
- [Sl] : Harvard University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 173 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: Golby, Alexandra J.;O'Donnell, Lauren J.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2025.
- 초록/해제
- 요약Cognition enables us to understand and safely interact with each other and our surrounding environment, making it a critical component of human health. The white matter pathways form the brain's neural connections, providing a structural foundation for cognition. However, how the connectivity and microstructural properties of the white matter pathways relate to human cognitive abilities remains unclear. Diffusion MRI (dMRI) enables non-invasive, in vivo mapping of these pathways and quantification of their tissue microstructure and connectivity. This dissertation investigates how white matter pathways, measured with dMRI, relate to cognitive performance by leveraging two large neuroimaging datasets: the Adolescent Brain Cognitive Development (ABCD) study and the Human Connectome Project-Young Adult (HCP-YA). This dissertation leverages an atlas-based machine learning approach to consistently parcellate the white matter pathways across thousands of participants. In Chapter 1, we examine the relationship between long-range association tracts and cognitive performance in over 800 young adults. We find lateralized associations: left-hemisphere tracts relate more strongly to semantic memory, while right-hemisphere tracts relate to emotion perception, underscoring distinct contributions of association pathways to language and social cognition. Chapter 2 evaluates cerebellar white matter pathways in over 9,000 participants across childhood and young adulthood. We identify consistent associations between cerebellar microstructure and cognition across datasets, with key differences suggestive of maturational change from childhood to adulthood. Chapter 3 investigates the role of sex hormones in shaping cognition through white matter microstructure at puberty. Using salivary hormone levels and dMRI data from over 8,000 pre-adolescent children, we find that testosterone is associated with white matter microstructure and mediates cognitive performance in males, but not females at the onset of puberty. Together, these studies provide new insight into how white matter microstructure supports cognition across developmental stages, cognitive domains, brain regions, and individual differences. This work advances our understanding of the neurobiological architecture of human cognition using large-scale diffusion MRI and cognitive datasets.
- 일반주제명
- Neurosciences
- 일반주제명
- Cognitive psychology
- 일반주제명
- Medical imaging
- 키워드
- Cerebellum
- 키워드
- Sex hormones
- 키워드
- White matter
- 키워드
- Human health
- 기타저자
- Harvard University Medical Sciences
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017357548
■00520260202103527
■006m o d
■007cr#unu||||||||
■020 ▼a9798280710993
■035 ▼a(MiAaPQ)AAI32039475
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aZekelman, Leo R.▼0(orcid)0000-0001-6619-0378
■24510▼aWhite Matter Pathways and Cognition: Insights From Large-Scale Diffusion MRI Analyses
■260 ▼a[Sl]▼bHarvard University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a173 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: Golby, Alexandra J.;O'Donnell, Lauren J.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2025.
■520 ▼aCognition enables us to understand and safely interact with each other and our surrounding environment, making it a critical component of human health. The white matter pathways form the brain's neural connections, providing a structural foundation for cognition. However, how the connectivity and microstructural properties of the white matter pathways relate to human cognitive abilities remains unclear. Diffusion MRI (dMRI) enables non-invasive, in vivo mapping of these pathways and quantification of their tissue microstructure and connectivity. This dissertation investigates how white matter pathways, measured with dMRI, relate to cognitive performance by leveraging two large neuroimaging datasets: the Adolescent Brain Cognitive Development (ABCD) study and the Human Connectome Project-Young Adult (HCP-YA). This dissertation leverages an atlas-based machine learning approach to consistently parcellate the white matter pathways across thousands of participants. In Chapter 1, we examine the relationship between long-range association tracts and cognitive performance in over 800 young adults. We find lateralized associations: left-hemisphere tracts relate more strongly to semantic memory, while right-hemisphere tracts relate to emotion perception, underscoring distinct contributions of association pathways to language and social cognition. Chapter 2 evaluates cerebellar white matter pathways in over 9,000 participants across childhood and young adulthood. We identify consistent associations between cerebellar microstructure and cognition across datasets, with key differences suggestive of maturational change from childhood to adulthood. Chapter 3 investigates the role of sex hormones in shaping cognition through white matter microstructure at puberty. Using salivary hormone levels and dMRI data from over 8,000 pre-adolescent children, we find that testosterone is associated with white matter microstructure and mediates cognitive performance in males, but not females at the onset of puberty. Together, these studies provide new insight into how white matter microstructure supports cognition across developmental stages, cognitive domains, brain regions, and individual differences. This work advances our understanding of the neurobiological architecture of human cognition using large-scale diffusion MRI and cognitive datasets.
■590 ▼aSchool code: 0084.
■650 4▼aNeurosciences
■650 4▼aCognitive psychology
■650 4▼aMedical imaging
■653 ▼aCerebellum
■653 ▼aSex hormones
■653 ▼aWhite matter
■653 ▼aNeural connections
■653 ▼aHuman health
■690 ▼a0317
■690 ▼a0633
■690 ▼a0574
■71020▼aHarvard University▼bMedical Sciences.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357548▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
