Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T.
Kevin R. Sitek,Kevin R. Sitek,Omer Faruk Gulban,Evan Calabrese,G. Allan Johnson,Agustin Lage-Castellanos,Michelle Moerel,Satrajit S. Ghosh,Satrajit S. Ghosh,Federico De Martino,Federico De Martino +10 more
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TL;DR: This work captures current MRI capabilities for investigating the human subcortical auditory system, describes challenges that remain, and contributes novel, openly available data, atlases, and tools for researching the human auditory system.
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Abstract: Studying the human subcortical auditory system non-invasively is challenging due to its small, densely packed structures deep within the brain. Additionally, the elaborate three-dimensional (3-D) structure of the system can be difficult to understand based on currently available 2-D schematics and animal models. Wfe addressed these issues using a combination of histological data, post mortem magnetic resonance imaging (MRI), and in vivo MRI at 7 Tesla. We created anatomical atlases based on state-of-the-art human histology (BigBrain) and postmortem MRI (50 µm). We measured functional MRI (fMRI) responses to natural sounds and demonstrate that the functional localization of subcortical structures is reliable within individual participants who were scanned in two different experiments. Further, a group functional atlas derived from the functional data locates these structures with a median distance below 2 mm. Using diffusion MRI tractography, we revealed structural connectivity maps of the human subcortical auditory pathway both in vivo (1050 µm isotropic resolution) and post mortem (200 µm isotropic resolution). This work captures current MRI capabilities for investigating the human subcortical auditory system, describes challenges that remain, and contributes novel, openly available data, atlases, and tools for researching the human auditory system.
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Citations
Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech.
TL;DR: It is concluded that models of brain responses based on linguistic features can serve as excellent benchmarks and that in order to further the understanding of human cortical responses to speech, low-level and parsimonious explanations for apparent high-level phenomena should be explored.
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Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T.
Kevin R. Sitek,Kevin R. Sitek,Omer Faruk Gulban,Evan Calabrese,G. Allan Johnson,Agustin Lage-Castellanos,Michelle Moerel,Satrajit S. Ghosh,Satrajit S. Ghosh,Federico De Martino,Federico De Martino +10 more
TL;DR: This work captures current MRI capabilities for investigating the human subcortical auditory system, describes challenges that remain, and contributes novel, openly available data, atlases, and tools for researching the human auditory system.
80
Micapipe: A pipeline for multimodal neuroimaging and connectome analysis
Raul R. Cruces,Jessica Royer,Peer Herholz,Sara Larivière,Reinder Vos de Wael,Casey Paquola,Oualid Benkarim,Bo-yong Park,Janie Degré-Pelletier,Mark C. Nelson,Jordan DeKraker,Christine L. Tardif,Jean-Baptiste Poline,Luis Concha,Boris C. Bernhardt +14 more
TL;DR: In this article , the authors present micapipe, an open processing pipeline for multimodal MRI datasets based on BIDS-conform input data, which can generate structural connectomes derived from diffusion tractography, functional connectome derived from resting-state signal correlations, geodesic distance matrices that quantify cortico-cortical proximity, and microstructural profile covariance matrices to assess inter-regional similarity in cortical myelin proxies.
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BrainStat: A toolbox for brain-wide statistics and multimodal feature associations
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TL;DR: BrainStat as mentioned in this paper is a toolbox for univariate and multivariate linear models in volumetric and surface-based brain imaging datasets, and multidomain feature association of results with respect to spatial maps of post-mortem gene expression and histology.
A unified 3D map of microscopic architecture and MRI of the human brain
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TL;DR: The first 3D concordance maps of the human brain were presented in this article , combining histology, immunohistochemistry, and 7-T quantitative magnetic resonance imaging (MRI) in two individual specimens.
References
The NumPy Array: A Structure for Efficient Numerical Computation
TL;DR: In this article, the authors show how to improve the performance of NumPy arrays through vectorizing calculations, avoiding copying data in memory, and minimizing operation counts, which is a technique similar to the one described in this paper.
Statistical parametric maps in functional imaging: A general linear approach
Karl J. Friston,Andrew P. Holmes,Keith J. Worsley,J-B. Poline,Chris D. Frith,Richard S. J. Frackowiak +5 more
TL;DR: In this paper, the authors present a general approach that accommodates most forms of experimental layout and ensuing analysis (designed experiments with fixed effects for factors, covariates and interaction of factors).
New advances in the Clinica software platform for clinical neuroimaging studies
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9.9K
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TL;DR: The methods and software engineering philosophy behind this new tool, ITK-SNAP, are described and the results of validation experiments performed in the context of an ongoing child autism neuroimaging study are provided, finding that SNAP is a highly reliable and efficient alternative to manual tracing.
8.5K
The NumPy array: a structure for efficient numerical computation
TL;DR: This effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts.