Article
Neurosciences
Syed M. Adil, Evan Calabrese, Lefko T. Charalambous, James J. Cook, Shervin Rahimpour, Ahmet F. Atik, Gary P. Cofer, Beth A. Parente, G. Allan Johnson, Shivanand P. Lad, Leonard E. White
Summary: This study successfully constructed an atlas of the human brainstem using high-resolution MRI technology, which is available online for interactive use, providing a new tool for neuroanatomical education and research.
Article
Neurosciences
Sang-Jin Im, Ji-Yeon Suh, Jae-Hyuk Shim, Hyeon-Man Baek
Summary: Preclinical studies using rodents have been popular among neuroscience researchers for their close reflection of human biology. While MRI technology has been utilized to accurately identify brain regions in rodents, the analysis methods in this field are not as well-developed compared to those for human subjects. This study introduces a deterministic tractographic analysis pipeline for detailed structural segmentation and connectivity analysis of the rat brain, which has been preliminarily tested on normal and stroke rat models.
Article
Multidisciplinary Sciences
Yasser Aleman-Gomez, Alessandra Griffa, Jean-Christophe Houde, Elena Najdenovska, Stefano Magon, Meritxell Bach Cuadra, Maxime Descoteaux, Patric Hagmann
Summary: In this work, a whole-brain multi-scale structural connectome atlas is presented, which can provide valuable network information for imaging studies. This tool is derived from healthy subject data, using extensively validated processing and segmentation tools, and it offers user-friendly code to extract connection-specific quantitative information from individual brain imaging data. This method contributes to analyzing the network-level consequences of regional changes.
Article
Clinical Neurology
Stewart McLachlin, Jason Leung, Vignesh Sivan, Pierre-Olivier Quirion, Phoenix Wilkie, Julien Cohen-Adad, Cari Marisa Whyne, Michael Raymond Hardisty
Summary: Neuroimaging, specifically DTI tractography, is useful in complex spinal surgeries when anatomical geometry is distorted. This study aimed to evaluate the spatial correspondence of DTI tractography with anatomical MRI in healthy anatomy. The results showed good spatial correspondence of lateral corticospinal tract streamlines over a single vertebral ROI, but fair agreement over larger ROIs.
Review
Medicine, General & Internal
Sung-Ho Jang, Min-Jye Cho
Summary: This review paper discusses the application of diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) in the diagnosis of traumatic axonal injury (TAI) in individuals with concussion or mild traumatic brain injury (mTBI). While several hundred DTI-based studies have reported TAI in concussion or mTBI, there are fewer case studies focusing on individual patients. The summary of these studies suggests that DTI can be used as a non-invasive tool for determining the presence and severity of TAI in individual patients with concussion or mTBI. However, certain conditions need to be met for an accurate diagnosis, and further studies are required to improve the precision of TAI diagnosis in individual patients.
Article
Computer Science, Artificial Intelligence
Alexis Reymbaut, Alex Valcourt Caron, Guillaume Gilbert, Filip Szczepankiewicz, Markus Nilsson, Simon K. Warfield, Maxime Descoteaux, Benoit Scherrer
Summary: Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging, but presents limited specificity. To address this issue, the DIAMOND model subdivides voxel content into diffusion compartments and estimates compartmental non-central matrix-variate Gamma distributions of diffusion tensors. Incorporating tensor-valued diffusion encoding, the Magic DIAMOND model demonstrates improved accuracy in estimating brain microstructural features, particularly in regions of fiber crossing.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Neurosciences
Ahmed M. Radwan, Stefan Sunaert, Kurt Schilling, Maxime Descoteaux, Bennett A. Landman, Mathieu Vandenbulcke, Tom Theys, Patrick Dupont, Louise Emsell
Summary: The virtual dissection of white matter using diffusion MRI tractography has poor reproducibility, but this study provides a comprehensive description of white matter anatomy using a reproducible automated subject-specific parcellation-based approach with probabilistic CSD tractography. The study demonstrates high inter-session similarity and provides a WM atlas that can be useful for mapping white matter fasciculi in healthy adults.
Article
Medicine, General & Internal
Jeong Pyo Seo, Dong Kyun Koo
Summary: This study used diffusion tensor tractography to investigate the effects of middle cerebral artery infarction on the nigrostriatal tract (NST). The results showed that infarction can lead to damage to the ipsilesional NST, impairing one's ability to control unwanted muscular contractions or voluntary movement.
Editorial Material
Medicine, General & Internal
Giulio Vara, Gianmarco Tuzzato, Giuseppe Bianchi, Marco Miceli, Luca Spinardi, Rita Golfieri, Raffaella Rinaldi, Giancarlo Facchini
Summary: Brachial plexus injuries are commonly diagnosed clinically, and diffusion tensor imaging (DTI) shows promise in studying peripheral nerves. Deterministic fiber tracking and multishell acquisition are novel advances in the field.
Article
Clinical Neurology
Fengzhao Zhu, Yulong Wang, Xiangchuang Kong, Yuan Liu, Lian Zeng, Xirui Jing, Sheng Yao, Kaifang Chen, Lian Yang, Xiaodong Guo
Summary: The combination of conventional MRI with DTI-DTT is a valid diagnostic approach for acute traumatic cervical SCI. Lower intramedullary lesion length and intramedullary hemorrhage length, and higher fractional anisotropy value and connection rates of fiber tractography are linked to better neurological outcomes.
EUROPEAN SPINE JOURNAL
(2022)
Article
Neurosciences
G. Allan Johnson, Rick Laoprasert, Robert J. Anderson, Gary Cofer, James Cook, Forrest Pratson, Leonard E. White
Summary: A multi-contrast, multi-dimensional atlas of the Wistar rat was created using magnetic resonance histology (MRH), providing microscopic spatial resolution and improved visualization of fiber architecture, orientation distribution, and crossing fibers. The use of multi-gradient echo images and compressed sensing for multiple specimens enhanced contrast and aided in anatomical delineation, offering potential for automated label registration in MR histology and preclinical imaging.
Article
Medicine, General & Internal
Weronika Mazur, Malgorzata Urbanczyk-Zawadzka, Robert Banys, Rafal Obuchowicz, Mariusz Trystula, Artur T. Krzyzak
Summary: This study applied BSD-DTI method to perform diffusion tensor imaging for PAD, utilizing a new DTI technique to evaluate diffusion changes in calf muscles. By adjusting scanning parameters and calibrating using the BSD method, systematic errors were effectively reduced, allowing for high-resolution scans in a short period of time.
Article
Neuroimaging
Jussi Tallus, Mehrbod Mohammadian, Timo Kurki, Timo Roine, Jussi P. Posti, Olli Tenovuo
Summary: Detection of microstructural white matter injury in traumatic brain injury (TBI) can be improved with newer fibre alignment estimation methods, such as constrained spherical deconvolution (CSD), which are better at resolving crossing fibres in the brain. Automatic tract segmentation using TractSeg also has the potential to improve reliability and workflow. This study compared the results of deterministic DTI tractography with manual segmentation to CSD tractography with automatic segmentation, and found that CSD with TractSeg was more sensitive in detecting microstructural changes associated with TBI.
NEUROIMAGE-CLINICAL
(2023)
Article
Health Care Sciences & Services
Sung Ho Jang, Min Jye Cho
Summary: This study investigated the relationship between the nigrostriatal tract (NST) and the corticospinal tract (CST) with motor function in chronic hemiparetic stroke patients. The results showed a strong positive correlation between the tract volume of ipsilesional NST and fractional anisotropy and the tract volume of ipsilesional CST with the Motricity Index score. The study also found that NST indirectly influenced the motor function of affected extremities through CST.
Article
Medicine, General & Internal
Sung Ho Jang, Sang Seok Yeo, Min Jye Cho
Summary: This study investigated the predictability of the nigrostriatal tract and corticoreticulospinal tract in the early stage of cerebral infarction for gait function in the chronic stage. The results showed a strong positive correlation between the tract volumes of these tracts in the early stage and the functional ambulation category scores in the chronic stage. The corticoreticulospinal tract had stronger predictability than the nigrostriatal tract.
Article
Statistics & Probability
Benjamin W. Langworthy, Rebecca L. Stephens, John H. Gilmore, Jason P. Fine
Summary: This study introduces a version of Canonical Correlation Analysis for transelliptical distributions, utilizing pairwise Kendall's tau to estimate a latent scatter matrix. The method addresses issues with non-compliant marginal distributions and outperforms standard CCA in simulations. A bootstrap method for testing non-zero canonical correlations is proposed, independent of assumptions on the joint distribution of the variables.
JOURNAL OF MULTIVARIATE ANALYSIS
(2021)
Article
Neurosciences
Kai Xia, J. Eric Schmitt, Shaili C. Jha, Jessica B. Girault, Emil Cornea, Gang Li, Dinggang Shen, Martin Styner, John H. Gilmore
Summary: Genetic influences on cortical thickness and surface area vary across the life span, with substantial additive genetic effects observed in infants and toddlers aged 0-2 years. The study found a dynamic genetic relationship between CT and SA during the first 2 years of life, providing novel insights into early brain development.
Article
Developmental Biology
Alexander J. Dufford, Andrew P. Salzwedel, John H. Gilmore, Wei Gao, Pilyoung Kim
Summary: This study investigated the association between postnatal maternal anxiety and infant brain development, as well as cognitive development. The results showed a significant negative association between maternal trait anxiety symptoms and left amygdala-right ACC functional connectivity, as well as a negative association between this connectivity and infant cognitive development. These findings suggest potential implications for understanding the impact of postpartum maternal anxiety on functional brain and cognitive development in infants.
DEVELOPMENTAL PSYCHOBIOLOGY
(2021)
Article
Neurosciences
Ann Mary Alex, Tom Ruvio, Kai Xia, Shaili C. Jha, Jessica B. Girault, Li Wang, Gang Li, Dinggang Shen, Emil Cornea, Martin A. Styner, John H. Gilmore, Rebecca C. Knickmeyer
Summary: Sex differences in the human brain, influenced by sex hormones such as testosterone, emerge as early as mid-gestation. This study found that markers of early testosterone exposure and digit ratio were significantly associated with cortical surface area, but only in females. The findings suggest that variation in testosterone levels during prenatal and postnatal periods may contribute to cortical surface area development in female infants.
Article
Neurosciences
Sarah J. Short, Dae Kun Jang, Rachel J. Steiner, Rebecca L. Stephens, Jessica B. Girault, Martin Styner, John H. Gilmore
Summary: DTI is a non-invasive neuroimaging method that is widely used in the investigation of white matter fiber pathways. Early DTI studies have shown significant microstructural and maturational changes in the brain during the first two years of life. Appropriate image processing for infant MR imaging requires age-specific reference atlases. This article provides an overview of the procedures used to generate two atlas resources for neonates and 1- to 2-year-old populations.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Genetics & Heredity
Kai Xia, Andrey A. Shabalin, Zhaoyu Yin, Wonil Chung, Patrick F. Sullivan, Fred A. Wright, Martin Styner, John H. Gilmore, Rebecca C. Santelli, Fei Zou
Summary: We developed an efficient alternative called TwinEQTL to the linear mixed-effects model for twin genome-wide association study data. TwinEQTL splits twin samples into two independent groups and combines the test results using a meta-analysis-like approach. Mathematical derivations and simulations show that TwinEQTL is valid and has comparable power to the gold-standard linear mixed-effects models.
Article
Neurosciences
Reid Blanchett, Yuanyuan Chen, Fernando Aguate, Kai Xia, Emil Cornea, S. Alexandra Burt, Gustavo de Los Campos, Wei Gao, John H. Gilmore, Rebecca C. Knickmeyer
Summary: Functional magnetic resonance imaging (fMRI) is used to identify complex brain networks, and researchers explored the genetic and environmental influences on these networks in early infancy. They found that genetic factors have minimal influence on brain connectivity in early infancy, while specific demographic and medical history variables may affect resting-state connectivity measures.
Article
Neurosciences
Catherine H. Demers, Benjamin L. Hankin, Ella-Marie P. Hennessey, Mercedes Hoeflich Haase, Maria M. Bagonis, Sun Hyung Kim, John H. Gilmore, M. Camille Hoffman, Martin A. Styner, Elysia Poggi Davis
Summary: This study found that maternal adverse childhood experiences (ACEs) are associated with both newborn amygdala volume and subsequent infant negative emotionality. These findings provide evidence to support the intergenerational transmission of adversity from mother to child.
NEUROBIOLOGY OF STRESS
(2022)
Article
Neurosciences
Maria Bagonis, Emil Cornea, Jessica B. Girault, Rebecca L. Stephens, Sunhyung Kim, Juan Carlos Prieto, Martin Styner, John H. Gilmore
Summary: The development of the white matter connectome is important for cognitive development and intelligence. High centrality hubs in the connectome are established early in childhood and remain relatively stable from age 1 to 6. IQ is not significantly correlated with node centrality.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li
Summary: Motivated by the success of attention modeling in computer vision, this study proposes a novel Spherical Transformer for analyzing cortical surface data. By mapping the cortical surface onto a sphere and using self-attention mechanism, detailed contextual information is preserved while ensuring computational efficiency. Additionally, a spatiotemporal self-attention operation is introduced to enhance the representation power. Experimental results demonstrate the competitive performance of the proposed Spherical Transformer in surface-level and vertex-level prediction tasks.
MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2022
(2022)
Meeting Abstract
Neurosciences
John Gilmore, Maria Bagonis, Jared Williams, Rebecca Stephens, Emil Cornea, Martin Styner, Brent Munsell
BIOLOGICAL PSYCHIATRY
(2021)
Meeting Abstract
Neurosciences
Rebecca Stephens, Emil Cornea, Sarah Short, Barbara Goldman, John Gilmore
BIOLOGICAL PSYCHIATRY
(2021)
