[HTML][HTML] Inference in the age of big data: Future perspectives on neuroscience

D Bzdok, BTT Yeo - Neuroimage, 2017 - Elsevier
Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …

Membrane resistance and shunting inhibition: where biophysics meets state‐dependent human neurophysiology

W Paulus, JC Rothwell - The Journal of physiology, 2016 - Wiley Online Library
Activation of neurons not only changes their membrane potential and firing rate but as a
secondary action reduces membrane resistance. This loss of resistance, or increase of …

Functional mechanisms of recovery after chronic stroke: modeling with the virtual brain

MI Falcon, JD Riley, V Jirsa, AR McIntosh, EE Chen… - eneuro, 2016 - eneuro.org
We have seen important strides in our understanding of mechanisms underlying stroke
recovery, yet effective translational links between basic and applied sciences, as well as …

[HTML][HTML] Using connectomics for predictive assessment of brain parcellations

KJ Albers, KS Ambrosen, MG Liptrot, TB Dyrby… - NeuroImage, 2021 - Elsevier
The organization of the human brain remains elusive, yet is of great importance to the
mechanisms of integrative brain function. At the macroscale, its structural and functional …

Quantifying functional connectivity in multi‐subject fMRI data using component models

KH Madsen, NW Churchill, M Mørup - Human brain map**, 2017 - Wiley Online Library
Functional magnetic resonance imaging (fMRI) is increasingly used to characterize
functional connectivity between brain regions. Given the vast number of between‐voxel …

[HTML][HTML] Multi-subject stochastic blockmodels for adaptive analysis of individual differences in human brain network cluster structure

DM Pavlović, BRL Guillaume, EK Towlson, NMY Kuek… - NeuroImage, 2020 - Elsevier
There is considerable interest in elucidating the cluster structure of brain networks in terms
of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle …

Infinite von Mises–Fisher mixture modeling of whole brain fMRI data

RE Røge, KH Madsen, MN Schmidt, M Mørup - Neural Computation, 2017 - direct.mit.edu
Cluster analysis of functional magnetic resonance imaging (fMRI) data is often performed
using gaussian mixture models, but when the time series are standardized such that the …

Probabilistic clustering of the human connectome identifies communities and hubs

M Hinne, M Ekman, RJ Janssen, T Heskes… - PloS one, 2015 - journals.plos.org
A fundamental assumption in neuroscience is that brain function is constrained by its
structural properties. This motivates the idea that the brain can be parcellated into …

Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model

NB Iskov, AS Olsen, KH Madsen, M Mørup - Network Neuroscience, 2024 - direct.mit.edu
Understanding the differences between functional and structural human brain connectivity
has been a focus of an extensive amount of neuroscience research. We employ a novel …

[HTML][HTML] An Edge-Based Approach to Partitioning and Overlap** Graph Clustering with User-Specified Density

R Tariq, K Lavangnananda, P Bouvry, P Mongkolnam - Applied Sciences, 2023 - mdpi.com
Graph clustering has received considerable attention recently, and its applications are
numerous, ranging from the detection of social communities to the clustering of computer …