[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …
technique that enables in vivo reconstruction of the brain's white matter connections at …
Whole-brain network models: from physics to bedside
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 …
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 …
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 …
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 …
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 …
levels in both healthy and disordered individuals. Recent studies have revealed a disparity …
A high-throughput pipeline identifies robust connectomes but troublesome variability
Modern scientific discovery depends on collecting large heterogeneous datasets with many
sources of variability, and applying domain-specific pipelines from which one can draw …
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 …
particularly in patients with early mild cognitive impairment (eMCI). Hence, developing …
Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes
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 …
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
The estimation of a connectional brain template (CBT) integrating a population of brain
networks while capturing shared and differential connectional patterns across individuals …
networks while capturing shared and differential connectional patterns across individuals …