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相关论文: Functional Geometry of Human Connectome and Robust…

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In mapping the human structural connectome, we are in a very fortunate situation: one can compute and compare graphs, describing the cerebral connections between the very same, anatomically identified small regions of the gray matter among…

神经元与认知 · 定量生物学 2017-12-01 Mate Fellner , Balint Varga , Vince Grolmusz

Higher-order connectivity in complex systems described by simplexes of different orders provides a geometry for simplex-based dynamical variables and interactions. Simplicial complexes that constitute a functional geometry of the human…

神经元与认知 · 定量生物学 2020-06-19 Miroslav Andjelkovic , Bosiljka Tadic , Roderick Melnik

While it is still not possible to describe the neural-level connections of the human brain, we can map the human connectome with several hundred vertices, by the application of diffusion-MRI based techniques. In these graphs, the nodes…

神经元与认知 · 定量生物学 2020-09-09 Mate Fellner , Balint Varga , Vince Grolmusz

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

In the study of the human connectome, the vertices and the edges of the network of the human brain are analyzed: the vertices of the graphs are the anatomically identified gray matter areas of the subjects; this set is exactly the same for…

神经元与认知 · 定量生物学 2018-11-26 Mate Fellner , Balint Varga , Vince Grolmusz

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 connectivity in the brain is typically studied by reducing its observation to a single spatial resolution. However, the brain possesses a rich architecture organized over multiple scales linked to one another. We explored the…

物理与社会 · 物理学 2020-09-07 Muhua Zheng , Antoine Allard , Patric Hagmann , Yasser Alemán-Gómez , M. Ángeles Serrano

Deep graph-theoretic ideas in the context with the graph of the World Wide Web led to the definition of Google's PageRank and the subsequent rise of the most-popular search engine to date. Brain graphs, or connectomes, are being widely…

神经元与认知 · 定量生物学 2016-02-17 Balazs Szalkai , Balint Varga , Vince Grolmusz

In order to understand the complex cognitive functions of the human brain, it is essential to study the structural connectome, i.e., the wiring of different brain regions to each other through axonal pathways. However, the high degree of…

神经元与认知 · 定量生物学 2021-01-25 Anand Pathak , Shakti N. Menon , Sitabhra Sinha

High-throughput methods for yielding the set of connections in a neural system, the connectome, are now being developed. This tutorial describes ways to analyze the topological and spatial organization of the connectome at the macroscopic…

神经元与认知 · 定量生物学 2011-12-23 Marcus Kaiser

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…

The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This information-rich data modality has the potential to…

The structural human connectome (i.e.\ the network of fiber connections in the brain) can be analyzed at ever finer spatial resolution thanks to advances in neuroimaging. Here we analyze several large data sets for the human brain network…

神经元与认知 · 定量生物学 2016-06-08 Michael T. Gastner , Géza Ódor

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…

Deep, classical graph-theoretical parameters, like the size of the minimum vertex cover, the chromatic number, or the eigengap of the adjacency matrix of the graph were studied widely by mathematicians in the last century. Most researchers…

神经元与认知 · 定量生物学 2017-09-18 Balazs Szalkai , Balint Varga , Vince Grolmusz

For more than a decade now, we can discover and study thousands of cerebral connections with the application of diffusion magnetic resonance imaging (dMRI) techniques and the accompanying algorithmic workflow. While numerous connectomical…

神经元与认知 · 定量生物学 2019-12-06 Laszlo Keresztes , Evelin Szogi , Balint Varga , Vince Grolmusz

The characterisation of the brain as a "connectome", in which the connections are represented by correlational values across timeseries and as summary measures derived from graph theory analyses, has been very popular in the last years.…

机器学习 · 计算机科学 2020-03-13 Tiago Azevedo , Luca Passamonti , Pietro Liò , Nicola Toschi

Investigations of the human connectome have elucidated core features of adult structural networks, particularly the crucial role of hub-regions. However, little is known regarding network organisation of the healthy elderly connectome, a…

神经元与认知 · 定量生物学 2015-12-15 Alistair Perry , Wei Wen , Anton Lord , Anbupalam Thalamuthu , Perminder Sachdev , Michael Breakspear

The underlying anatomical structure is fundamental to the study of brain networks, but the role of brainstem from a structural perspective is not very well understood. We conduct a computational and graph-theoretical study of the human…

神经元与认知 · 定量生物学 2023-04-26 Salma Salhi , Youssef Kora , Gisu Ham , Hadi Zadeh Haghighi , Christoph Simon

In our previous study we have shown that the female connectomes have significantly better, deep graph-theoretical parameters, related to superior "connectivity", than the connectome of the males. Since the average female brain is smaller…

神经元与认知 · 定量生物学 2015-12-04 Balázs Szalkai , Bálint Varga , Vince Grolmusz
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