[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review

F Zhang, A Daducci, Y He, S Schiavi, C Seguin… - Neuroimage, 2022 - Elsevier
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Whole-brain network models: from physics to bedside

A Pathak, D Roy, A Banerjee - Frontiers in Computational …, 2022 - frontiersin.org
Computational neuroscience has come a long way from its humble origins in the pioneering
work of Hodgkin and Huxley. Contemporary computational models of the brain span multiple …

Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?

T Sarwar, K Ramamohanarao… - Magnetic resonance in …, 2019 - Wiley Online Library
Purpose Human connectomics necessitates high‐throughput, whole‐brain reconstruction of
multiple white matter fiber bundles. Scaling up tractography to meet these high‐throughput …

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

I Mahjoub, MA Mahjoub, I Rekik - Scientific reports, 2018 - nature.com
Accurate diagnosis of mild cognitive impairment (MCI) before conversion to Alzheimer's
disease (AD) is invaluable for patient treatment. Many works showed that MCI and AD affect …

Unsupervised manifold learning using high-order morphological brain networks derived from T1-w MRI for autism diagnosis

M Soussia, I Rekik - Frontiers in neuroinformatics, 2018 - frontiersin.org
Brain disorders, such as Autism Spectrum Disorder (ASD), alter brain functional (from fMRI)
and structural (from diffusion MRI) connectivities at multiple levels and in varying degrees …

Morphological brain age prediction using multi-view brain networks derived from cortical morphology in healthy and disordered participants

J Corps, I Rekik - Scientific reports, 2019 - nature.com
Brain development and aging are dynamic processes that unfold over years on multiple
levels in both healthy and disordered individuals. Recent studies have revealed a disparity …

A high-throughput pipeline identifies robust connectomes but troublesome variability

G Kiar, EW Bridgeford, WRG Roncai… - Biorxiv, 2017 - biorxiv.org
Modern scientific discovery depends on collecting large heterogeneous datasets with many
sources of variability, and applying domain-specific pipelines from which one can draw …

Cooperative correlational and discriminative ensemble classifier learning for early dementia diagnosis using morphological brain multiplexes

R Raeper, A Lisowska, I Rekik - IEEE Access, 2018 - ieeexplore.ieee.org
Dementia alters the brain wiring on different levels. However, these changes might be subtle
particularly in patients with early mild cognitive impairment (eMCI). Hence, developing …

Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes

J Patel, M Schöttner, A Tarun, S Tourbier… - Network …, 2024 - direct.mit.edu
One way to increase the statistical power and generalizability of neuroimaging studies is to
collect data at multiple sites or merge multiple cohorts. However, this usually comes with site …

Estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration

N Chaari, HC Akdağ, I Rekik - Brain Imaging and Behavior, 2021 - Springer
The estimation of a connectional brain template (CBT) integrating a population of brain
networks while capturing shared and differential connectional patterns across individuals …