Research graph
References from Mind the brain age: How segmentation and template selection reshape structural connectomes. Local targets link to admitted publications; unresolved targets remain external evidence.
Imaging brain microstructure with diffusion MRI: Practicality and applications
10.1002/nbm.3841 · 2019 · External reference
Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
10.1016/j.media.2007.06.004 · 2008 · External reference
A reproducible evaluation of ANTs similarity metric performance in brain image registration
10.1016/j.neuroimage.2010.09.025 · 2011 · External reference
An open source multivariate framework for n-tissue segmentation with evaluation on public data
10.1007/s12021-011-9109-y · 2011 · External reference
Global efficiency of structural networks mediates cognitive control in mild cognitive impairment
10.3389/fnagi.2016.00292 · 2016 · External reference
Structural network efficiency predicts cognitive decline in cerebral small vessel disease
10.1016/j.nicl.2020.102325 · 2020 · External reference
Cognition mediates the relation between structural network efficiency and gait in small vessel disease
10.1016/j.nicl.2021.102667 · 2021 · External reference
COMMIT: Convex optimization modeling for microstructure informed tractography
10.1109/tmi.2014.2352414 · 2015 · External reference
The parcellation-based connectome: Limitations and extensions
10.1016/j.neuroimage.2013.03.053 · 2013 · External reference
Unresolved reference
External reference
A Riemannian framework for incorporating white matter bundle prior in orientation distribution function based tractography algorithms
10.1371/journal.pone.0304449 · 2025 · External reference
Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age
10.3389/fnagi.2015.00044 · 2015 · External reference
Structural network efficiency predicts resilience to cognitive decline in elderly at risk for Alzheimer’s disease
10.3389/fnagi.2021.637002 · 2021 · External reference
Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician
10.1016/0022-3956(75)90026-6 · 1975 · External reference
Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
10.1016/s1053-8119(09)70884-5 · 2009 · External reference
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge
10.1016/j.neuroimage.2023.120231 · 2023 · External reference
A practical overview of the use of amyloid-PET centiloid values in clinical trials and research
10.1016/j.nicl.2025.103765 · 2025 · External reference
FSL
10.1016/j.neuroimage.2011.09.015 · 2012 · External reference
Diffusion MRI fiber tractography of the brain
10.1002/nbm.3785 · 2019 · External reference
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
10.1016/j.neuroimage.2014.07.061 · 2014 · External reference
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI [ISSN: 1945-8452]
2024 · External reference
Structural network efficiency is associated with cognitive impairment in small-vessel disease
10.1212/wnl.0000000000000612 · 2014 · External reference
The challenge of mapping the human connectome based on diffusion tractography
10.1038/s41467-017-01285-x · 2017 · External reference
Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale brain network resource
10.1016/j.neuroimage.2023.120407 · 2023 · External reference
Comparing connectomes across subjects and populations at different scales
10.1016/j.neuroimage.2013.04.084 · 2013 · External reference
Diffusion tensor imaging revealed different pathological processes of white matter hyperintensities
10.1186/s12883-021-02140-9 · 2021 · External reference
The Montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment
10.1111/j.1532-5415.2005.53221.x · 2005 · External reference
A Bayesian model of shape and appearance for subcortical brain segmentation
10.1016/j.neuroimage.2011.02.046 · 2011 · External reference
Structural connectivity centrality changes mark the path toward Alzheimer’s disease
2019 · External reference
Bundle-specific tractography with incorporated anatomical and orientational priors
10.1016/j.neuroimage.2018.11.018 · 2019 · External reference
Development and evaluation of a high performance T1-weighted brain template for use in studies on older adults
10.1002/hbm.25327 · 2021 · External reference
Complex network measures of brain connectivity: Uses and interpretations
10.1016/j.neuroimage.2009.10.003 · 2010 · External reference
Distributed associations among white matter hyperintensities and structural brain networks with fluid cognition in healthy aging
10.3758/s13415-024-01219-3 · 2024 · External reference
Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
10.1093/cercor/bhx179 · 2018 · External reference
Limits to anatomical accuracy of diffusion tractography using modern approaches
10.1016/j.neuroimage.2018.10.029 · 2019 · External reference
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow
10.1016/j.neuroimage.2021.118451 · 2021 · External reference
Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information
10.1016/j.neuroimage.2012.06.005 · 2012 · External reference
SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography
10.1016/j.neuroimage.2015.06.092 · 2015 · External reference
Building connectomes using diffusion MRI: Why, how and but
10.1002/nbm.3752 · 2019 · External reference
The effect of white matter hyperintensities on statistical analysis of diffusion tensor imaging in cognitively healthy elderly and prodromal Alzheimer’s disease
10.1371/journal.pone.0185239 · 2017 · External reference
Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants
10.1016/j.neurobiolaging.2023.10.012 · 2024 · External reference
Structural connectome construction using constrained spherical deconvolution in multi-shell diffusion-weighted magnetic resonance imaging
10.1038/s41596-024-01129-1 · 2025 · External reference
Tractometry of human visual white matter pathways in health and disease
10.2463/mrms.rev.2024-0007 · 2024 · External reference
Impact of white-matter hyperintensities on tractography
2017 · External reference
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited
10.1073/pnas.1405672111 · 2014 · External reference
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
10.1152/jn.00338.2011 · 2011 · External reference
Unresolved reference
External reference
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
10.1016/j.neuroimage.2019.116137 · 2019 · External reference
N4ITK: Improved N3 bias correction
10.1109/tmi.2010.2046908 · 2010 · External reference
Denoising of diffusion MRI using random matrix theory
10.1016/j.neuroimage.2016.08.016 · 2016 · External reference
Genetic architecture of the structural connectome
10.1038/s41467-024-46023-2 · 2024 · External reference
Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration
10.1016/s1474-4422(13)70124-8 · 2013 · External reference
What are white matter hyperintensities made of? Journal of the American Heart Association,
2015 · External reference
The Alzheimer’s Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement
10.1016/j.jalz.2016.10.006 · 2017 · External reference
Comparing brain networks of different size and connectivity density using graph theory
10.1371/journal.pone.0013701 · 2010 · External reference
Impaired structural network properties caused by white matter hyperintensity related to cognitive decline
10.3389/fneur.2020.00250 · 2020 · External reference
Mapping structural connectivity using diffusion MRI: Challenges and opportunities
10.1002/jmri.27188 · 2021 · External reference
Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics
10.1016/j.neuroimage.2016.05.047 · 2016 · External reference
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review
10.1016/j.neuroimage.2021.118870 · 2022 · External reference
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
10.1109/42.906424 · 2001 · External reference
