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Resting-state functional MRI (rs-fMRI) in functional neuroimaging techniques have improved in brain disorders, dysfunction studies via mapping the topology of the brain connections, i.e. connectopic mapping. Since, there are the slight…

图像与视频处理 · 电气工程与系统科学 2019-07-18 Jalal Mirakhorli , Hamidreza Amindavar , Mojgan Mirakhorli

Diffusion MRI (dMRI) tractography enables in vivo mapping of brain structural connections, but traditional connectome generation is time-consuming and requires gray matter parcellation, posing challenges for large-scale studies. We…

图像与视频处理 · 电气工程与系统科学 2025-06-12 Marcus J. Vroemen , Yuqian Chen , Yui Lo , Tengfei Xue , Weidong Cai , Fan Zhang , Josien P. W. Pluim , Lauren J. O'Donnell

Whole-brain parcellation from MRI is a critical yet challenging task due to the complexity of subdividing the brain into numerous small, irregular shaped regions. Traditionally, template-registration methods were used, but recent advances…

计算机视觉与模式识别 · 计算机科学 2026-01-15 Yucheng Li , Xiaofan Wang , Junyi Wang , Yijie Li , Xi Zhu , Mubai Du , Dian Sheng , Wei Zhang , Fan Zhang

The human brain forms functional networks on all spatial scales. Modern fMRI scanners allow to resolve functional brain data in high resolutions, allowing to study large-scale networks that relate to cognitive processes. The analysis of…

神经元与认知 · 定量生物学 2019-05-14 Melanie Weber , Johannes Stelzer , Emil Saucan , Alexander Naitsat , Gabriele Lohmann , Jürgen Jost

Tremendous recent literature show that associations between different brain regions, i.e., brain connectivity, provide early symptoms of neurological disorders. Despite significant efforts made for graph neural network (GNN) techniques,…

计算机视觉与模式识别 · 计算机科学 2024-09-27 Xin Ma , Guorong Wu , Seong Jae Hwang , Won Hwa Kim

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

Volumetric brain reconstructions provide an unprecedented opportunity to gain insights into the complex connectivity patterns of neurons in an increasing number of organisms. Here, we model and quantify the complexity of the resulting…

神经元与认知 · 定量生物学 2024-05-13 Anastasiya Salova , István A. Kovács

Decrypting intelligence from the human brain construct is vital in the detection of particular neurological disorders. Recently, functional brain connectomes have been used successfully to predict behavioral scores. However,…

神经元与认知 · 定量生物学 2022-09-28 Imen Jegham , Islem Rekik

The human brain is a complex system requiring both macroscopic and microscopic components for comprehensive understanding. However, mapping nonlinear relationships between these scales remains challenging due to technical limitations and…

图像与视频处理 · 电气工程与系统科学 2025-10-28 Sooyoung Kim , Joonwoo Kwon , Junbeom Kwon , Jungyoun Janice Min , Sangyoon Bae , Yuewei Lin , Shinjae Yoo , Jiook Cha

Recent progress in diffusion MRI and tractography algorithms as well as the launch of the Human Connectome Project (HCP) have provided brain research with an abundance of structural connectivity data. In this work, we describe and evaluate…

神经元与认知 · 定量生物学 2016-06-02 Kamal Shadi , Saideh Bakhshi , David A. Gutman , Helen S. Mayberg , Constantine Dovrolis

The anatomical structure of the brain can be observed via non-invasive techniques such as diffusion imaging. However, these are imperfect because they miss connections that are actually known to exist, especially long range…

神经元与认知 · 定量生物学 2015-02-25 Somwrita Sarkar , Sanjay Chawla , Donna Xu

Large efforts are currently under way to systematically map functional connectivity between all pairs of millimeter-scale brain regions using big volumes of neuroimaging data. Functional magnetic resonance imaging (fMRI) can produce these…

神经元与认知 · 定量生物学 2014-09-24 Enzo Tagliazucchi , Helmut Laufs , Dante R. Chialvo

The study of random networks in a neuroscientific context has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less developed. In this paper, we focus on the…

神经元与认知 · 定量生物学 2017-07-11 Daniel Fraiman , Ricardo Fraiman

One of the greatest scientific challenges in network neuroscience is to create a representative map of a population of heterogeneous brain networks, which acts as a connectional fingerprint. The connectional brain template (CBT), also named…

神经元与认知 · 定量生物学 2022-04-12 Nada Chaari , Hatice Camgoz Akdag , Islem Rekik

Mapping of human brain structural connectomes via diffusion MRI offers a unique opportunity to understand brain structural connectivity and relate it to various human traits, such as cognition. However, head displacement during image…

神经元与认知 · 定量生物学 2024-09-13 Yizi Zhang , Meimei Liu , Zhengwu Zhang , David Dunson

The emerging field of connectomics aims to unlock the mysteries of the brain by understanding the connectivity between neurons. To map this connectivity, we acquire thousands of electron microscopy (EM) images with nanometer-scale…

定量方法 · 定量生物学 2016-04-04 Stephen M. Plaza , Stuart E. Berg

Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for understanding human neural mechanisms of intricate cognitive processes. Most rs-fMRI studies compute a single static functional…

The brain is an intricately structured organ responsible for the rich emergent dynamics that support the complex cognitive functions we enjoy as humans. With around $10^{11}$ neurons and $10^{15}$ synapses, understanding how the human brain…

神经元与认知 · 定量生物学 2019-02-12 Jason Z. Kim , Danielle S. Bassett

The goal of the Human Brain Project is to develop during the next decade an infrastructure necessary for running a simulation of the entire human brain constrained by current experimental data. One of the key issues is therefore to…

定量方法 · 定量生物学 2017-06-23 Paul Tiesinga , Rembrandt Bakker , Sean Hill , Jan G. Bjaalie

Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications, and casting doubt on the generalisability…