21 papers · ranked by Valyu relevance
Varima Narula, Denise Taylor, Ruth McLaren, Rachael L. Taylor + 7 more
Physical exercise is known to delay the cognitive decline in the elderly. However, the effect of low-impact balance exercises such as yoga or Tai chi has not been explored in detail. This cross-sectional observational study used brain magnetic resonance imaging data to quantify and compare various brain structures…
Na Gao, Chenfei Ye, Yanwu Yang, Anqi Li + 6 more
Accurate characterization of hippocampal substructure is crucial for detecting subtle structural changes and identifying early neurodegenerative biomarkers. However, high inter-subject variability and complex folding pattern of human hippocampus hinder consistent cross-subject and longitudinal analysis. Most existing…
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…
Shreya C. Bangera, Libor Pospisil, Thomas Bengtsson
Structural MRI provides a noninvasive window into brain morphology, yet the reproducibility and interpretability of morphometric analyses remain limited by inconsistent preprocessing, variable spatial alignment, and heterogeneous feature construction. We introduce MORPH2DIAG, a fully automated, atlas-free morphometric…
Clemens Pollak, Kersten Diers, Santiago Estrada, David Kügler + 1 more
The corpus callosum, the largest commissural structure in the human brain, is a central focus in research on aging and neurological diseases. It is also a critical target for interventions such as deep brain stimulation and serves as an important biomarker in clinical trials, including those investigating remyelination…
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…
Aleksandra Rubin-Starczewska, Przemysław Podgórski, Jakub Ubysz, Magdalena Koszewicz + 6 more
Background/Objectives: Spinal muscular atrophy (SMA) types 2 and 3 are increasingly recognised as potentially multisystem disorders that may involve the central nervous system. However, the extent and pattern of brain structural alterations in adults remain insufficiently characterised. This study aimed to assess brain…
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…
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…
Yishai Valter, Yu Huang, Niranjan Khadka, Abhishek Datta + 1 more
The MNI152 template is widely regarded as a representative average brain in neuroimaging, computational modeling, and neuromodulation research; however, its fidelity as a true population mean has not been systematically evaluated. In this study, we compared the MNI152 6^th^ generation nonlinear template to 436…
Victor B. B. Mello, Richard McKinley, Roland Wiest, Christian Rummel
Time efficient and reliable pipelines for quantitative evaluation of structural brain MRI are essential to utilize the potential of morphometry tools for large scale research projects as well as to pave the path towards future clinical applications. In our work, we have explored this idea by evaluating three deep…
Nicholas Vidas-Guscic, Tamara Vasilkovska, Stefanie Pluym, Joëlle van Rijswijk + 8 more
Huntington’s disease (HD) is a progressive neurodegenerative disease affecting motor and cognitive abilities, as well as exhibiting psychiatric manifestations. Studies in people with HD (PwHD) consistently report atrophy of the caudate and putamen as an early pathological event and is therefore considered an early…
Navona Calarco, Skerdi Progri, Sriranga Kashyap, Shuting Xie + 4 more
Though linked to an unusually broad array of functions, the human claustrum’s complex morphology has hindered in vivo study, resulting in a small MRI literature marked by implausibly large discrepancies in reported characteristics. We constructed the first three-dimensional histological “gold standard” claustrum model…
Timo Blattner, David Romascano, Richard McKinley, Michael Rebsamen + 7 more
Cortical thickness measurements from MRI are increasingly used as biomarkers for neurodegenerative disease progression. However, variations in MRI acquisition parameters, such as inversion time (TI) and repetition time (TR), which are common in clinical settings, can compromise the reliability and sensitivity of these…
Maria del C. Valdes-Hernandez, Wonjung Park, Joanna Moodie, Susana Muñoz Maniega + 6 more
The study of brain morphology changes in normal individuals may capture aspects of functionally-relevant brain aging not fully indicated by gross volumetry. Despite the important role of subcortical brain structures in cognition, the associations between their morphological trajectories and cognitive changes in aging…
Rahul Krishnamurthy, Douglas H. Schultz, Yingying Wang, Steven M. Barlow + 1 more
Multimodal imaging approaches that combine structural and functional neuroimaging provide a robust framework for examining neuroplastic adaptations that may not be captured by any single modality. The present study investigated the effects of a four-week expiratory muscle strength training (EMST) program on structural…
Raffaele Da Mutten, Rafael Turczynski Holmgren, Erik Edström, Adrian Elmi-Terander + 1 more
Purpose Linear two-dimensional indices such as the Evans index, callosal angle, and fronto-occipital horn ratio remain the clinical standard for hydrocephalus assessment, yet are limited by measurement variability, insensitivity to spatial CSF redistribution, and reduced sensitivity to volumetric change over time. This…
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…
Kurt G. Schilling, Michael E. Kim, Matthew Amandola, Chenyu Gao + 34 more
Spinal cord morphometry provides essential biomarkers of neurological health, but clinical interpretations are confounded by inter-subject variability and a lack of normative references across the full human lifespan. We address this gap by generating the first comprehensive lifespan charts for cervical spinal cord…
Authors not listed
Molecular mechanisms governing initiation steps of the assembly of thousands of endogenous multi-protein complexes (EMCs) remain incompletely understood. Here, multiple lines of observations are reported reflecting the biological functions-aligned initiation sequence of hybrid assembly pathways (HAPs) of EMCs. HAPs…
Authors not listed
Synthetic DNA strands are programmable and biocompatible building blocks that can be combined through hybridization to form user-defined nanostructures, but their assembly traditionally requires cell-incompatible conditions, imposing a lengthy ex situ fabrication step before any application with living matter. Here we…