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Related papers: Alignment of Continuous Brain Connectivity

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Cortical surface registration is often driven by local geometric descriptors (e.g., sulcal depth and curvature). While this approach achieves geometric correspondence, it neglects the long-range wiring constraints imposed by white-matter…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Yang Xiang , Martin Cole , Zhengwu Zhang

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…

Neurons and Cognition · Quantitative Biology 2020-09-09 Mate Fellner , Balint Varga , Vince Grolmusz

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…

This paper considers the problem of brain disease classification based on connectome data. A connectome is a network representation of a human brain. The typical connectome classification problem is very challenging because of the small…

Machine Learning · Statistics 2020-01-24 Nikita Mokrov , Maxim Panov , Boris A. Gutman , Joshua I. Faskowitz , Neda Jahanshad , Paul M. Thompson

Human brain connectome studies aim at extracting and analyzing relevant features associated to pathologies of interest. Usually this consists in modeling the brain connectome as a graph and in using graph metrics as features. A fine brain…

Neurons and Cognition · Quantitative Biology 2020-05-04 Félix Renard , Christian Heinrich , Marine Bouthillon , Maleka Schenck , Francis Schneider , Stéphane Kremer , Sophie Achard

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…

Neural and Evolutionary Computing · Computer Science 2025-04-14 Tananun Songdechakraiwut , Yutong Wu

This work considers a continuous framework to characterize the population-level variability of structural connectivity. Our framework assumes the observed white matter fiber tract endpoints are driven by a latent random function defined…

Computation · Statistics 2022-07-19 William Consagra , Martin Cole , Zhengwu Zhang

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…

Neurons and Cognition · Quantitative Biology 2011-12-23 Marcus Kaiser

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.…

Machine Learning · Computer Science 2020-03-13 Tiago Azevedo , Luca Passamonti , Pietro Liò , Nicola Toschi

The brain structural connectome is generated by a collection of white matter fiber bundles constructed from diffusion weighted MRI (dMRI), acting as highways for neural activity. There has been abundant interest in studying how the…

Methodology · Statistics 2022-11-03 Didong Li , Phuc Nguyen , Zhengwu Zhang , David B Dunson

Here we show a method of directing the edges of the connectomes, prepared from diffusion tensor imaging (DTI) datasets from the human brain. Before the present work, no high-definition directed braingraphs (or connectomes) were published,…

Neurons and Cognition · Quantitative Biology 2016-09-29 Balázs Szalkai , Csaba Kerepesi , Bálint Varga , Vince Grolmusz

In medical imaging, surface registration is extensively used for performing systematic comparisons between anatomical structures, with a prime example being the highly convoluted brain cortical surfaces. To obtain a meaningful registration,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Yuchen Guo , Qiguang Chen , Gary P. T. Choi , Lok Ming Lui

The human brain is the most complex object of study we encounter today. Mapping the neuronal-level connections between the more than 80 billion neurons in the brain is a hopeless task for science. By the recent advancement of magnetic…

Neurons and Cognition · Quantitative Biology 2020-09-01 Balint Varga , Vince Grolmusz

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…

Neurons and Cognition · Quantitative Biology 2017-12-01 Mate Fellner , Balint 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…

Methodology · Statistics 2019-07-09 Zhenhua Lin , Dehan Kong , Qiang Sun

Brain function and connectivity is a pressing mystery in medicine related to many diseases. Neural connectomes have been studied as graphs with graph theory methods including topological methods. Work has started on hypergraph models and…

Methodology · Statistics 2022-05-09 Michael G. Rawson

Recent advances in molecular and genetic research have identified a diverse range of brain tumor sub-types, shedding light on differences in their molecular mechanisms, heterogeneity, and origins. The present study performs whole-brain…

Neurons and Cognition · Quantitative Biology 2024-07-26 Debanjali Bhattacharya , Ninad Aithal , Manish Jayswal , Neelam Sinha

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"…

Neuropsychiatric disorders impact functional connectivity of the brain at the network level. The identification and statistical testing of disorder-related networks remains challenging. We propose novel methods to streamline the detection…

Applications · Statistics 2017-01-16 Shuo Chen , Yishi Xing , Jian Kang , Dinesh Shukla , Peter Kochunov , L. Elliot Hong

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…

Neurons and Cognition · Quantitative Biology 2022-11-15 Andrew Hannum , Mario A. Lopez , Saúl A. Blanco , Richard F. Betzel
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