Results 11 to 20 of about 2,163,819 (261)

A Cell Atlas for the Mouse Brain [PDF]

Frontiers in Neuroinformatics, 2018
Despite vast numbers of studies of stained cells in the mouse brain, no current brain atlas provides region-by-region neuron counts. In fact, neuron numbers are only available for about 4% of brain of regions and estimates often vary by as much as 3-fold.
Csaba Erö, Marc-Oliver Gewaltig, Daniel Keller, Henry Markram   +3 more
doaj   +3 more sources

Automatic Detection of Amyloid Beta Plaques in Somatosensory Cortex of an Alzheimer’s Disease Mouse Using Deep Learning

IEEE Access, 2021
Identification of amyloid beta ( $\text{A}\beta$ ) plaques in the cerebral cortex in models of Alzheimer’s Disease (AD) is of critical importance for research into therapeutics. Here we propose an innovative framework which automatically measures
Heemoon Yoon, Mira Park, Soonja Yeom, Matthew T. K. Kirkcaldie, Peter Summons, Sang-Hee Lee   +5 more
doaj   +1 more source

An End-To-End Pipeline for Fully Automatic Morphological Quantification of Mouse Brain Structures From MRI Imagery

Frontiers in Bioinformatics, 2022
Segmentation of mouse brain magnetic resonance images (MRI) based on anatomical and/or functional features is an important step towards morphogenetic brain structure characterization of murine models in neurobiological studies.
Shahinur Alam, Tae-Yeon Eom, Jeffrey Steinberg, David Ackerman, J. Eric Schmitt, Walter J. Akers, Stanislav S. Zakharenko, Khaled Khairy, Khaled Khairy   +8 more
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A Review on the Research of Homologous Brain Regions in Human and Macaque

Taiyuan Ligong Daxue xuebao, 2021
Exploring the structure and function of the brain is the most cutting-edge scientific issue in this century. Owing to the limitations of biological experiments on the human brain, the researchers put the research into the brains of non-human primates ...
Qianshan WANG, Yue WANG, Jingwen CHAI, Binqiang LI, Haifang LI   +4 more
doaj   +1 more source

Evaluation of atlas-based segmentation of hippocampi in healthy humans [PDF]

, 2009
Introduction and aim: Region of interest (ROI)-based functional magnetic resonance imaging (fMRI) data analysis relies on extracting signals from a specific area which is presumed to be involved in the brain activity being studied.
Lemieux, L., Chupin, M, Chupin, M., Williams, Elaine, Williams, E., Kesavadas, C, Kesavadas, C., Rodionov, R., Chupin, Marie, Lemieux, Louis, Rodionov, Roman, Hammers, Alexander, Hammers, A, Kesavadas, Chandrasekharan, Lemieux, L, Hammers, Alexander; id_orcid, Rodionov, R, Hammers, A., Williams, E   +18 more
core   +1 more source

Automated Generation of Radiologic Descriptions on Brain Volume Changes From T1-Weighted MR Images: Initial Assessment of Feasibility

Frontiers in Neurology, 2019
Purpose: To examine the feasibility and potential difficulties of automatically generating radiologic reports (RRs) to articulate the clinically important features of brain magnetic resonance (MR) images.Materials and Methods: We focused on examining ...
Kentaro Akazawa, Kentaro Akazawa, Ryo Sakamoto, Ryo Sakamoto, Satoshi Nakajima, Satoshi Nakajima, Dan Wu, Yue Li, Kenichi Oishi, Andreia V. Faria, Kei Yamada, Kaori Togashi, Constantine G. Lyketsos, Constantine G. Lyketsos, Michael I. Miller, Susumu Mori   +15 more
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There is no single functional atlas even for a single individual: Functional parcel definitions change with task

NeuroImage, 2020
The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging
Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable   +5 more
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ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation

Frontiers in Neuroinformatics, 2017
There is a longstanding effort to parcellate brain into areas based on micro-structural, macro-structural, or connectional features, forming various brain atlases.
Hai Li, Hai Li, Hai Li, Lingzhong Fan, Lingzhong Fan, Junjie Zhuo, Jiaojian Wang, Yu Zhang, Yu Zhang, Zhengyi Yang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang   +15 more
doaj   +1 more source

MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain

Frontiers in Neuroinformatics, 2020
Non-human primate models are widely used in studying the brain mechanism underlying brain development, cognitive functions, and psychiatric disorders. Neuroimaging techniques, such as magnetic resonance imaging, play an important role in the examinations
Bin He, Bin He, Bin He, Zhengyi Yang, Lingzhong Fan, Lingzhong Fan, Bin Gao, Hai Li, Chuyang Ye, Bo You, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang, Tianzi Jiang   +16 more
doaj   +1 more source

Systematic Fusion of Multi-Source Cognitive Networks With Graph Learning - A Study on Fronto-Parietal Network

Frontiers in Neuroscience, 2022
Cognitive tasks induce fluctuations in the functional connectivity between brain regions which constitute cognitive networks in the human brain. Although several cognitive networks have been identified, consensus still cannot be achieved on the precise ...
Xiaofei Zhang, Xiaofei Zhang, Xiaofei Zhang, Xiaofei Zhang, Yang Yang, Hongzhi Kuai, Hongzhi Kuai, Hongzhi Kuai, Jianhui Chen, Jianhui Chen, Jianhui Chen, Jiajin Huang, Jiajin Huang, Jiajin Huang, Peipeng Liang, Ning Zhong, Ning Zhong, Ning Zhong, Ning Zhong   +18 more
doaj   +1 more source