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Recent advances in experimental neuroscience allow, for the first time, non-invasive studies of the white matter tracts in the human central nervous system, thus making available cutting-edge brain anatomical data describing these global…

定量方法 · 定量生物学 2008-11-06 Jonathan J. Crofts , Desmond J. Higham

Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance…

最优化与控制 · 数学 2017-03-31 Giulia Prando , Mattia Zorzi , Alessandra Bertoldo , Alessandro Chiuso

Based on the data of the NIH-funded Human Connectome Project, we have computed structural connectomes of 426 human subjects in five different resolutions of 83, 129, 234, 463 and 1015 nodes and several edge weights. The graphs are given in…

神经元与认知 · 定量生物学 2016-10-07 Csaba Kerepesi , Balazs Szalkai , Balint Varga , Vince Grolmusz

Understanding how brain structure and function interact is key to explaining intelligence yet modeling them jointly is challenging as the structural and functional connectome capture complementary aspects of organization. We introduced…

计算机视觉与模式识别 · 计算机科学 2026-04-01 Badhan Mazumder , Sir-Lord Wiafe , Aline Kotoski , Vince D. Calhoun , Dong Hye Ye

Functional magnetic resonance imaging (fMRI) is an emerging neuroimaging modality that is commonly modeled as networks of Regions of Interest (ROIs) and their connections, named functional connectivity, for understanding the brain functions…

神经元与认知 · 定量生物学 2024-10-01 Haokai Zhao , Haowei Lou , Lina Yao , Yu Zhang

We use methods from computational algebraic topology to study functional brain networks, in which nodes represent brain regions and weighted edges encode the similarity of fMRI time series from each region. With these tools, which allow one…

定量方法 · 定量生物学 2020-08-27 Bernadette J. Stolz , Tegan Emerson , Satu Nahkuri , Mason A. Porter , Heather A. Harrington

White matter tractography is an advanced neuroimaging technique that reconstructs the 3D white matter pathways of the brain from diffusion MRI data. It can be framed as a pathfinding problem aiming to infer neural fiber trajectories from…

计算机视觉与模式识别 · 计算机科学 2025-09-23 Itzik Waizman , Yakov Gusakov , Itay Benou , Tammy Riklin Raviv

The human structural connectome has a complex internal community organization, characterized by a high degree of overlap and related to functional and cognitive phenomena. We explored connectivity properties in connectome networks and…

无序系统与神经网络 · 物理学 2025-02-24 V. Tiselko , O. Dogonasheva , A. Myshkin , O. Valba

The increasing quantity and quality of the publicly available human cerebral diffusion MRI data make possible the study of the brain as it was unimaginable before. The Consensus Connectome Dynamics (CCD) is a remarkable phenomenon that was…

神经元与认知 · 定量生物学 2016-10-17 Balázs Szalkai , Vince Grolmusz

In recent years, new and important perspectives were introduced in the field of neuroimaging with the emergence of the connectionist approach. In this new context, it is important to know not only which brain areas are activated by a…

神经元与认知 · 定量生物学 2019-04-17 Jean Faber , Priscila C. Antoneli , Guillem Via , Noemi S. Araújo , Daniel J. L. L. Pinheiro , Esper Cavalheiro

The white-matter (micro-)structural architecture of the brain promotes synchrony among neuronal populations, giving rise to richly patterned functional connections. A fundamental problem for systems neuroscience is determining the best way…

神经元与认知 · 定量生物学 2022-11-15 Yueting Li , Qingyue Wei , Ehsan Adeli , Kilian M. Pohl , Qingyu Zhao

The brain white matter consists of a set of tracts that connect distinct regions of the brain. Segmentation of these tracts is often needed for clinical and research studies. Diffusion-weighted MRI offers unique contrast to delineate these…

图像与视频处理 · 电气工程与系统科学 2023-07-06 Hamza Kebiri , Ali Gholipour , Meritxell Bach Cuadra , Davood Karimi

Networked systems display complex patterns of interactions between a large number of components. In physical networks, these interactions often occur along structural connections that link components in a hard-wired connection topology,…

神经元与认知 · 定量生物学 2018-04-03 Jason Kim , Jonathan M. Soffer , Ari E. Kahn , Jean M. Vettel , Fabio Pasqualetti , Danielle S. Bassett

The brain is an assembly of neuronal populations interconnected by structural pathways. Brain activity is expressed on and constrained by this substrate. Therefore, statistical dependencies between functional signals in directly connected…

神经元与认知 · 定量生物学 2019-09-11 Maria Giulia Preti , Dimitri Van De Ville

The human connectome is the object of an intensive research today. In these graphs, the vertices correspond to the small areas of the gray matter, and two vertices are connected by an edge, if a diffusion-MRI based workflow finds…

神经元与认知 · 定量生物学 2016-09-28 Csaba Kerepesi , Balázs Szalkai , Bálint Varga , Vince Grolmusz

In neuroscience, functional brain connectivity describes the connectivity between brain regions that share functional properties. Neuroscientists often characterize it by a time series of covariance matrices between functional measurements…

统计方法学 · 统计学 2019-07-09 Zhenhua Lin , Dehan Kong , Qiang Sun

The human brain is a complex and highly dynamic system, and our current knowledge of its functional mechanism is still very limited. Fortunately, with functional magnetic resonance imaging (fMRI), we can observe blood oxygen level-dependent…

神经元与认知 · 定量生物学 2024-12-31 Yifei Sun , Mariano Cabezas , Jiah Lee , Chenyu Wang , Wei Zhang , Fernando Calamante , Jinglei Lv

Functional connectomes derived from functional magnetic resonance imaging have long been used to understand the functional organization of the brain. Nevertheless, a connectome is intrinsically linked to the atlas used to create it. In…

神经元与认知 · 定量生物学 2021-07-06 Javid Dadashkarimi , Amin Karbasi , Dustin Scheinost

Understanding the relationship between the structure and function of the human brain is one of the most important open questions in Neurosciences. In particular, Resting State Networks (RSN) and more specifically the Default Mode Network…

As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well understood. We use a network representation of diffusion…

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