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Non-invasive measurements of the human brain using magnetic resonance imaging (MRI) have significantly improved our understanding the brain's network organization by enabling measurement of anatomical connections between brain regions…

应用统计 · 统计学 2025-12-10 Keshav Motwani , Ali Shojaie , Ariel Rokem , Eardi Lila

Functional connectivity, as estimated using resting state fMRI, has shown potential in bridging the gap between pathophysiology and cognition. However, clinical use of functional connectivity biomarkers is impeded by unreliable estimates of…

The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cognitive function. The generative rules that shape the topology of…

The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. This result, however, may be limited methodologically. Past…

A reliable foundation model of functional neuroimages is critical to promote clinical applications where the performance of current AI models is significantly impeded by a limited sample size. To that end, tremendous efforts have been made…

机器学习 · 计算机科学 2025-10-23 Ziquan Wei , Tingting Dan , Guorong Wu

The assessment of brain fingerprints has emerged in the recent years as an important tool to study individual differences and to infer quality of neuroimaging datasets. Studies so far have mainly focused on connectivity fingerprints between…

神经元与认知 · 定量生物学 2021-01-13 Uttara Tipnis , Kausar Abbas , Elizabeth Tran , Enrico Amico , Li Shen , Alan D. Kaplan , Joaquín Goñi

The brain's structural connectome supports signal propagation between neuronal elements, shaping diverse coactivation patterns that can be captured as functional connectivity. While the link between structure and function remains an ongoing…

神经元与认知 · 定量生物学 2022-07-11 Yaqian Yang , Zhiming Zheng , Longzhao Liu , Hongwei Zheng , Yi Zhen , Yi Zheng , Xin Wang , Shaoting Tang

Graph theoretical analyses have become standard tools in modeling functional and anatomical connectivity in the brain. With the advent of connectomics, the primary graphs or networks of interest are structural connectome (derived from DTI…

神经元与认知 · 定量生物学 2022-07-07 Carlo Amodeo , Igor Fortel , Olusola Ajilore , Liang Zhan , Alex Leow , Theja Tulabandhula

Anatomical connectivity between different regions in the brain can be mapped to a network representation, the connectome, where the intensities of the links, the weights, influence its structural resilience and the functional processes it…

神经元与认知 · 定量生物学 2025-04-09 Laia Barjuan , Muhua Zheng , M. Ángeles Serrano

Structural connectomes are detailed graphs that map how different brain regions are physically connected, offering critical insight into aging, cognition, and neurodegenerative diseases. However, these connectomes are high-dimensional and…

Large bundles of myelinated axons, called white matter, anatomically connect disparate brain regions together and compose the structural core of the human connectome. We recently proposed a method of measuring the local integrity along the…

We present a statistical framework that jointly models brain shape and functional connectivity, which are two complex aspects of the brain that have been classically studied independently. We adopt a Riemannian modeling approach to account…

统计方法学 · 统计学 2024-04-26 Eardi Lila , John A. D. Aston

Mapping the brain imaging data to networks, where each node represents a specific area of the brain, has enabled an objective graph-theoretic analysis of human connectome. However, the latent structure on higher-order connections remains…

神经元与认知 · 定量生物学 2019-04-09 Bosiljka Tadic , Miroslav Andjelkovic , Roderick Melnik

For complex diseases, beyond the main effects of genetic (G) and environmental (E) factors, gene-environment (G-E) interactions also play an important role. Many of the existing G-E interaction methods conduct marginal analysis, which may…

统计方法学 · 统计学 2020-03-06 Qingzhao Zhang , Hao Chai , Shuangge Ma

Estimated connectomes by the means of neuroimaging techniques have enriched our knowledge of the organizational properties of the brain leading to the development of network-based clinical diagnostics. Unfortunately, to date, many of those…

神经元与认知 · 定量生物学 2018-05-31 Roseric Azondekon , Zachary James Harper , Charles Michael Welzig

Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the relationship between the functional neural processes and anatomical…

机器学习 · 计算机科学 2021-04-20 Hongyuan You , Sikun Lin , Ambuj K. Singh

Functional Connectivity (FC) matrices measure the regional interactions in the brain and have been widely used in neurological brain disease classification. However, a FC matrix is neither a natural image which contains shape and texture…

医学物理 · 物理学 2020-01-10 Xiaodan Xing , Qingfeng Li , Hao Wei , Minqing Zhang , Yiqiang Zhan , Xiang Sean Zhou , Zhong Xue , Feng Shi

The human brain is a complex system, and understanding its mechanisms has been a long-standing challenge in neuroscience. The study of the functional connectome, which maps the functional connections between different brain regions, has…

神经与进化计算 · 计算机科学 2025-04-14 Tananun Songdechakraiwut , Yutong Wu

One of the crucial questions in neuroscience is how a rich functional repertoire of brain states relates to its underlying structural organization. How to study the associations between these structural and functional layers is an open…

神经元与认知 · 定量生物学 2018-02-22 Enrico Amico , Joaquín Goñi

The human brain is a complex network comprised of functionally and anatomically interconnected brain regions. A growing number of studies have suggested that empirical estimates of brain networks may be useful for discovery of biomarkers of…

神经元与认知 · 定量生物学 2022-11-15 Andrew Hannum , Mario A. Lopez , Saúl A. Blanco , Richard F. Betzel
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