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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

Directionality is a fundamental feature of network connections. Most structural brain networks are intrinsically directed because of the nature of chemical synapses, which comprise most neuronal connections. Due to limitations of…

神经元与认知 · 定量生物学 2018-01-19 Penelope Kale , Andrew Zalesky , Leonardo L. Gollo

In systems and network neuroscience, many common practices in brain connectomic analysis are often not properly scrutinized. One such practice is mapping a predetermined set of sub-circuits, like functional networks (FNs), onto subjects'…

In this study, we explore the fundamental principles behind the architecture of the human brain's structural connectome, from the perspective of spectral analysis of Laplacian and adjacency matrices. Building on the idea that the brain…

神经元与认知 · 定量生物学 2024-05-28 Anna Bobyleva , Alexander Gorsky , Sergei Nechaev , Olga Valba , Nikita Pospelov

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

This paper studies change-points in human brain functional connectivity (FC) and seeks patterns that are common across multiple subjects under identical external stimulus. FC relates to the similarity of fMRI responses across different…

神经元与认知 · 定量生物学 2020-03-05 Mengyu Dai , Zhengwu Zhang , Anuj Srivastava

Understanding the intricate architecture of brain networks and its connection to brain function is essential for deciphering the underlying principles of cognition and disease. While traditional graph-theoretical measures have been widely…

混沌动力学 · 物理学 2025-11-13 Anca Radulescu , Eva Kaslik , Alexandru Fikl , Johan Nakuci , Sarah Muldoon , Michael Anderson

Human brain anatomy and function display a combination of modular and hierarchical organization, suggesting the importance of both cohesive structures and variable resolutions in the facilitation of healthy cognitive processes. However,…

神经元与认知 · 定量生物学 2015-06-18 Christian Lohse , Danielle S. Bassett , Kelvin O. Lim , Jean M. Carlson

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

The connectome is a wiring diagram mapping all the neural connections in the brain. At the cellular level, it provides a map of the neurons and synapses within a part or all of the brain of an organism. In recent years, significant advances…

神经元与认知 · 定量生物学 2022-06-01 Adrián Hernández , José M. Amigó

Substantial evidence indicates that major psychiatric disorders are associated with distributed neural dysconnectivity, leading to strong interest in using neuroimaging methods to accurately predict disorder status. In this work, we are…

机器学习 · 统计学 2014-03-26 Takanori Watanabe , Daniel Kessler , Clayton Scott , Michael Angstadt , Chandra Sripada

The human brain can be considered to be a graphical structure comprising of tens of billions of biological neurons connected by synapses. It has the remarkable ability to automatically re-route information flow through alternate paths in…

机器学习 · 计算机科学 2022-08-26 Hang Li , Qadeer Khan , Volker Tresp , Daniel Cremers

We investigate joint graph inference for the chemical and electrical connectomes of the \textit{Caenorhabditis elegans} roundworm. The \textit{C.elegans} connectomes consist of $253$ non-isolated neurons with known functional attributes,…

应用统计 · 统计学 2015-08-06 Li Chen , Joshua T. Vogelstein , Vince Lyzinski , Carey E. Priebe

Connectomics is a field of neuroscience that analyzes neuronal connections. A connectome is a complete map of a neuronal system, comprising all neuronal connections between its structures. The term "connectome" is close to the word "genome"…

We present a continuous model for structural brain connectivity based on the Poisson point process. The model treats each streamline curve in a tractography as an observed event in connectome space, here a product space of cortical white…

神经元与认知 · 定量生物学 2018-11-07 Daniel Moyer , Boris A. Gutman , Joshua Faskowitz , Neda Jahanshad , Paul M. Thompson

The exponential growth of neuroscience literature presents a significant challenge for researchers seeking to efficiently access and utilize relevant information. To address this issue, we introduce the Brain Knowledge Engine (BrainKnow),…

数字图书馆 · 计算机科学 2024-06-07 Cunqing Huangfu , Kang Sun , Yi Zeng , Yuwei Wang , Dongsheng Wang , Zizhe Ruan

Inferring a binary connectivity graph from resting-state fMRI data for a single subject requires making several methodological choices and assumptions that can significantly affect the results. In this study, we investigate the robustness…

统计方法学 · 统计学 2025-03-20 Alice Chevaux , Ali Fahkar , Kévin Polisano , Irène Gannaz , Sophie Achard

The human brain is organized as a complex network, where connections between regions are characterized by both functional connectivity (FC) and structural connectivity (SC). While previous studies have primarily focused on network-level…

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

Functional connections in the brain are frequently represented by weighted networks, with nodes representing locations in the brain, and edges representing the strength of connectivity between these locations. One challenge in analyzing…

应用统计 · 统计学 2022-09-28 Yura Kim , Daniel Kessler , Elizaveta Levina