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Integrating Genetics and Brain Connectivity : = Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Integrating Genetics and Brain Connectivity :/
其他題名:	Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders.
作者:	Dai, Wei.
面頁冊數:	1 online resource (192 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-08, Section: B.
Contained By:	Dissertations Abstracts International85-08B.
標題:	Genetics. -
電子資源:	click for full text (PQDT)
ISBN:	9798381435795

Integrating Genetics and Brain Connectivity : = Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders.
Dai, Wei.

Integrating Genetics and Brain Connectivity :Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders. - 1 online resource (192 pages)

Source: Dissertations Abstracts International, Volume: 85-08, Section: B.

Thesis (Ph.D.)--Yale University, 2023.

Includes bibliographical references

The exploration of the associations between genetic variants or single nucleotide polymorphisms (SNPs), brain connectivity, and mental disorders is crucial for comprehending the biological origins of psychiatric and behavioral conditions. Biomedical technologies, such as magnetic resonance imaging (MRI) and next-generation sequencing (NGS), can help elucidate the underlying biological processes. Resting state functional MRI (rsfMRI) studies have demonstrated altered functional connectivity in numerous psychiatric and behavioral disorders, which is moderately heritable and can be linked to genetic variants. Diffusion tensor imaging (DTI) can be employed to investigate the structural foundation of functional networks. However, challenges remain in analyzing brain imaging and genetic data together, including weak genetic signals in complex high-dimensional data, intricate connectivity structures, complex relationships, and high computational complexity. To enhance our understanding of the neural and genetic factors involved in these disorders and develop more effective treatments, innovative statistical methods are needed to overcome these hurdles.First, Chapter 2 introduces the Ball Covariance Ranking and Aggregation (BCRA), a SNP-set hypothesis test, which incorporates functional connectivity matrix structure to detect significant SNPs while controlling the false discovery rate. A faster version is also proposed to reduce the computational burden of high-dimensional data.Second, to integrate the cluster/network structure of connectivity, Chapter 3 presents the network-based mediation model (NMM) to estimate the effect of genetics on behavioral outcomes or diseases mediated by functional connectivity. Chapter 4 presents a semi-constrained network-based statistic (scNBS) to address the issue of intricate connectivity structures, a method that employs a data-driven selection process to associate functional connectivity with clinical outcomes, achieving increased power and validity through benchmarking studies.Lastly, we present a chapter with a continuous coupling measure to identify genetic loci associated with structural-functional connectivity coupling (SC-FC coupling), with potential implications for neurological and psychiatric disorders.All four projects emphasize the links between genetics, brain connectivity, and behavioral and psychiatric disorders. The first three projects (Chapters 2-4) focus specifically on functional connectivity, tackling major statistical challenges in analyzing this data. Specifically, Chapter 2 uses the BCRA approach to incorporate the complex matrix structure of functional connectivity, improving SNP identification. Chapters 3 and 4 employ NMM and scNBS approaches to address the intricate, multi-scale network-level structure of functional connectivity. In contrast, the final project (Chapter 5) expands the concept of brain connectivity from functional regions to structural landscapes, further investigating the structural basis supports functional organization and how genetics govern this interrelationship.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381435795Subjects--Topical Terms:

578972
Genetics.
Subjects--Index Terms:

Brain connectomeIndex Terms--Genre/Form:

554714
Electronic books.

Integrating Genetics and Brain Connectivity : = Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders.
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