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Recent neuroimaging studies have shown that functional connectomes are unique to individuals, i.e., two distinct fMRIs taken over different sessions of the same subject are more similar in terms of their connectomes than those from two…

Computer Vision and Pattern Recognition · Computer Science 2019-08-12 Vikram Ravindra , Petros Drineas , Ananth Grama

We tackle classification based on brain connectivity derived from diffusion magnetic resonance images. We propose a machine-learning model inspired by graph convolutional networks (GCNs), which takes a brain connectivity input graph and…

Neurons and Cognition · Quantitative Biology 2023-09-21 Anees Kazi , Jocelyn Mora , Bruce Fischl , Adrian V. Dalca , Iman Aganj

Connectomics and network neuroscience offer quantitative scientific frameworks for modeling and analyzing networks of structurally and functionally interacting neurons, neuronal populations, and macroscopic brain areas. This shift in…

Neurons and Cognition · Quantitative Biology 2020-10-06 Richard Betzel

The wiring diagram of the mouse brain has recently been mapped at a mesoscopic scale in the Allen Mouse Brain Connectivity Atlas. Axonal projections from brain regions were traced using green fluoresent proteins. The resulting data were…

Neurons and Cognition · Quantitative Biology 2018-12-24 Pascal Grange

One of the central problems in neuroscience is understanding how brain structure relates to function. Naively one can relate the direct connections of white matter fiber tracts between brain regions of interest (ROIs) to the increased…

Neurons and Cognition · Quantitative Biology 2023-08-30 Haoming Yang , Steven Winter , Zhengwu Zhang , David Dunson

In this thesis, we present robust and fully-automated methods for the subdivision of the entire human cerebral cortex based on connectivity information. Our contributions are four-fold: First, we propose a clustering approach to delineate a…

Neurons and Cognition · Quantitative Biology 2018-02-21 Salim Arslan

We present a statistical framework that jointly models brain shape and functional connectivity, which are two complex aspects of the brain that have been classically studied independently. We adopt a Riemannian modeling approach to account…

Methodology · Statistics 2024-04-26 Eardi Lila , John A. D. Aston

This article focuses on the problem of studying shared- and individual-specific structure in replicated networks or graph-valued data. In particular, the observed data consist of $n$ graphs, $G_i, i=1,\ldots,n$, with each graph consisting…

Computation · Statistics 2018-04-13 Lu Wang , Zhengwu Zhang , David Dunson

Structural connectomes are detailed graphs that map how different brain regions are physically connected, offering critical insight into aging, cognition, and neurodegenerative diseases. However, these connectomes are high-dimensional and…

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,…

Neurons and Cognition · Quantitative Biology 2015-06-18 Christian Lohse , Danielle S. Bassett , Kelvin O. Lim , Jean M. Carlson

Human skill learning requires fine-scale coordination of distributed networks of brain regions that are directly linked to one another by white matter tracts to allow for effective information transmission. Yet how individual differences in…

Neurons and Cognition · Quantitative Biology 2016-10-25 Ari E. Kahn , Marcelo G. Mattar , Jean M. Vettel , Nicholas F. Wymbs , Scott T. Grafton , Danielle S. Bassett

Brain structural connectivity, capturing the white matter fiber tracts among brain regions inferred by diffusion MRI (dMRI), provides a unique characterization of brain anatomical organization. One fundamental question to address with…

Neurons and Cognition · Quantitative Biology 2023-04-05 Selena Wang , Yiting Wang , Frederick H. Xu , Li Shen , Yize Zhao

Disease in the brain is often associated with subtle, spatially diffuse, or complex tissue changes that may lie beneath the level of gross visual inspection, even on magnetic resonance imaging (MRI). Unfortunately, current computer-assisted…

Computer Vision and Pattern Recognition · Computer Science 2017-05-16 Shinjini Kundu , Soheil Kolouri , Kirk I Erickson , Arthur F Kramer , Edward McAuley , Gustavo K Rohde

A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the white matter microstructure. However, a head-to-head…

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…

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…

Neurons and Cognition · Quantitative Biology 2018-11-07 Daniel Moyer , Boris A. Gutman , Joshua Faskowitz , Neda Jahanshad , Paul M. Thompson

Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the relationship between the functional neural processes and anatomical…

Machine Learning · Computer Science 2021-04-20 Hongyuan You , Sikun Lin , Ambuj K. Singh

The human connectome has become the very frequent subject of study of brain-scientists, psychologists, and imaging experts in the last decade. With diffusion magnetic resonance imaging techniques, unified with advanced data processing…

Neurons and Cognition · Quantitative Biology 2019-07-24 Mate Fellner , Balint Varga , Vince Grolmusz

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…

Neurons and Cognition · Quantitative Biology 2022-06-01 Adrián Hernández , José M. Amigó

In recent years there has been a paradigm shift from the study of local task-related activation to the organization and functioning of large-scale functional and structural brain networks. However, a long-standing challenge in this…

Quantitative Methods · Quantitative Biology 2025-11-26 Sixtus Dakurah
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