21 papers · ranked by Valyu relevance
Anna E. Fürtjes, Ryan Arathimos, Jonathan R. I. Coleman, James H. Cole + 6 more
The human brain is organised into networks of interconnected regions that have highly correlated volumes. In this study, we aim to triangulate insights into brain organisation and its relationship with cognitive ability and ageing, by analysing genetic data. We estimated general genetic dimensions of human brain…
Tadashi Shiohama, Keita Tsujimura
Congenital genetic disorders often present with neurological manifestations such as neurodevelopmental disorders, motor developmental retardation, epilepsy, and involuntary movement. Through qualitative morphometric evaluation of neuroimaging studies, remarkable structural abnormalities, such as lissencephaly…
Donato Quiccione, Mariam Pirashvili, Nathan Broomhead, Sean J. Fallon
Understanding the structure of the brain, and how it changes with time and disease, is a core goal of structural neuroimaging. Contemporary approaches to structural brain analysis are dominated by voxel-wise, mass-univariate methods such as voxel-based morphometry (VBM). However, these techniques require images to be…
Moo K. Chung, Jamie L. Hanson, Seth D. Pollak
In this paper, we review widely used statistical analysis frameworks for data defined along cortical and subcortical surfaces that have been developed in last two decades. The cerebral cortex has the topology of a 2D highly convoluted sheet. For data obtained along curved non-Euclidean surfaces, traditional statistical…
Arvid Lundervold, Ben René Bjørsvik, Julie Billing, Birgitte Berentsen + 6 more
'Birgitte Berentsen' 'Gülen Arslan Lied' 'Elisabeth K. Steinsvik' 'Trygve Hausken' 'Daniela M. Pfabigan' 'Astri J. Lundervold' 'Kai Zhao'] Background/Objectives: Irritable bowel syndrome (IBS) is a gut-brain disorder characterized by abdominal pain, altered bowel habits, and psychological distress. While brain-gut…
Jui-To Wang, Ching-Po Lin, Huei-Min Liu, Carlo Pierpaoli + 1 more
Traditional brain connectivity studies have focused mainly on structural connectivity, often relying on tractography with diffusion MRI (dMRI) to reconstruct white matter pathways. In parallel, studies of functional connectivity have examined correlations in brain activity using fMRI. However, emerging methodologies…
Tadashi Shiohama
Quantitative brain magnetic resonance imaging has revolutionized pediatric neurodevelopment research by enabling noninvasive, reproducible, and high-resolution assessments of brain morphology across the entire brain. Advances in anatomical structure analysis and diffusion-weighted tractography now permit detailed…
Michael Rebsamen, Richard McKinley, Piotr Radojewski, Maximilian Pistor + 8 more
'Maximilian Pistor' 'Christoph Friedli' 'Robert Hoepner' 'Anke Salmen' 'Andrew Chan' 'Mauricio Reyes' 'Franca Wagner' 'Roland Wiest' 'Christian Rummel'] Title: Abstract Brain morphometry is usually based on non-enhanced (pre-contrast) T1-weighted MRI. However, such dedicated protocols are sometimes missing in clinical…
Joanna E. Moodie, Colin Buchanan, Anna Furtjes, Eleanor Conole + 12 more
In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning (g)? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise…
Yuki Kawabe, Tomokazu Tsurugizawa, Chiaki Ohtaka-Maruyama, Takuma Kumamoto
Birds evolved large, cognitively capable forebrains independently of mammals, yet comparative analyses of avian brain organization have been constrained by the lack of standardized resources capable of resolving internal parcellation and long-range connectivity across species. Here, we present a comparative MRI…
Ruiyang Ge, Yuetong Yu, Faye New, Shalaila S Haas + 12 more
Normative modeling of brain morphometric data can inform about the clinical significance of deviations from typical patterns in brain structure. Their usefulness, however, is dependent on their applicability to diverse ethnoracial groups. With this in mind, we developed age- and sex-specific normative models for…
Daniel Griffiths-King, Stefano Seri, Cathy Catroppa, Vicki A. Anderson + 1 more
'Vicki A. Anderson' 'Amanda G. Wood'] Title: Highlights 1. • MRI-based morphometric similarity predicts executive dysfunction in pediatric TBI. 2. • Fronto-temporal regions predict executive function outcomes post-injury. 3. • Model outperforms traditional structural MRI measures in prediction accuracy. 4. • Predictive…
Ekaterina Kondrateva, Sandzhi Barg, Mikhail Vasiliev
arXiv:2504.15931v1 [cs.CV] 22 Apr 2025 Accurate and reproducible brain morphometry from structural MRI is critical for monitoring neuroanatomical changes across time and imaging domains. Although deep learning has accelerated segmentation workflows, scanner-induced variability and reproducibility limitations…
Joanna E. Moodie, Colin Buchanan, Anna Furtjes, Eleanor Conole + 12 more
'Aleks Stolicyn' 'Janie Corley' 'Karen Ferguson' 'Maria Valdes Hernandez' 'Susana Munoz Maniega' 'Tom C. Russ' 'Michelle Luciano' 'Heather Whalley' 'Mark E. Bastin' 'Joanna Wardlaw' 'Ian Deary' 'Simon Cox'] In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry…
Marco A. Palma, Shahin Tavakoli, Julia Brettschneider, Ana‐Maria Staicu + 1 more
skewed functional data analysis Authors: ['Marco A. Palma' 'Shahin Tavakoli' 'Julia Brettschneider' 'Ana‐Maria Staicu' 'Thomas E. Nichols'] Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased…
Charlie Aird-Rossiter, Hui Zhang, Daniel C. Alexander, Derek K. Jones + 1 more
inform microstructural modeling of diffusion MR signals Authors: ['Charlie Aird-Rossiter' 'Hui Zhang' 'Daniel C. Alexander' 'Derek K. Jones' 'Marco Palombo'] However, designing sensible biophysical models and appropriate dMRI acquisitions is challenging, especially for gray matter (GM), as little is known about typical…
Joanna E. Moodie, Colin R. Buchanan, Anna E. Fürtjes, Eleanor L. S. Conole + 12 more
In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning (g)? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise…
Lucía Manso-Ortega, Sandra Gisbert-Muñoz, Lucia Amoruso, Garazi Bermudez + 4 more
This research challenges the traditional localizationist view that brain tumors affect only regions directly associated with the lesion, by examining whether they also induce macrostructural alterations in the contralesional hemisphere. We applied Voxel-Based Morphometry, linear regression, and Principal Component…
Mikael Brudfors
This paper presents and validates CTseg, a freely available software for brain CT segmentation, spatial normalisation, and volumetrics. CTseg builds on the Multi-Brain generative modelling framework, providing a CT-specific pipeline that produces tissue maps, deformation fields, and brain volume estimates in the same…
Amy Gérin-Lajoie, Walter Adame-Gonzalez, Eve-Marie Frigon, Liana Guerra Sanches + 4 more
Neurodegenerative diseases are associated with brain atrophy. The volume of in vivo human brains is determined with various magnetic resonance imaging (MRI) measurement tools of which the validity has not been assessed against a gold standard. Here, we propose to validate the MRI brain volumes by scanning ex vivo-in…
Wojciech Michno, Patrick Wehrli, Srinivas Koutarapu, Christian Marsching + 9 more
Understanding of Alzheimer’s disease (AD) pathophysiology, requires molecular assessment of how key pathological factors, specifically amyloid β (Aβ) plaques, influence the surrounding microenvironment. Here, neuronal lipids are particularly of interest as these are implicated in pathological- and neurodegenerative…