Results 21 to 30 of about 2,163,819 (261)

Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics

Frontiers in Aging Neuroscience, 2023
IntroductionMulti-modal neuroimaging metrics in combination with advanced machine learning techniques have attracted more and more attention for an effective multi-class identification of Alzheimer’s disease (AD), mild cognitive impairment (MCI) and ...
Zhuqing Long, Zhuqing Long, Jie Li, Jianghua Fan, Bo Li, Yukeng Du, Shuang Qiu, Jichang Miao, Jian Chen, Jian Chen, Juanwu Yin, Bin Jing, Bin Jing   +12 more
doaj   +1 more source

Data on a cytoarchitectonic brain atlas: effects of brain template and a comparison to a multimodal atlas

Data in Brief, 2017
The data presented here are related to the research article: “A cross-validated cytoarchitectonic atlas of the human ventral visual stream” in which we developed a cytoarchitectonic atlas of ventral visual cortex.
Mona Rosenke, Kevin S. Weiner, Michael A. Barnett, Karl Zilles, Katrin Amunts, Rainer Goebel, Kalanit Grill-Spector   +6 more
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High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter

Scientific Reports, 2022
Precise cortical brain localization presents an important challenge in the literature. Brain atlases provide data-guided parcellation based on functional and structural brain metrics, and each atlas has its own unique benefits for localization.
Hari McGrath, Hitten P. Zaveri, Evan Collins, Tamara Jafar, Omar Chishti, Sami Obaid, Alexander Ksendzovsky, Kun Wu, Xenophon Papademetris, Dennis D. Spencer   +9 more
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Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study

Frontiers in Neuroscience, 2021
Recently, machine learning techniques have been widely applied in discriminative studies of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however, the effects of brain atlases and machine learning methods remain largely ...
Jinyu Zang, Jinyu Zang, Jinyu Zang, Yuanyuan Huang, Yuanyuan Huang, Lingyin Kong, Lingyin Kong, Lingyin Kong, Bingye Lei, Bingye Lei, Bingye Lei, Pengfei Ke, Pengfei Ke, Pengfei Ke, Hehua Li, Jing Zhou, Jing Zhou, Jing Zhou, Dongsheng Xiong, Dongsheng Xiong, Dongsheng Xiong, Guixiang Li, Guixiang Li, Jun Chen, Jun Chen, Xiaobo Li, Zhiming Xiang, Zhiming Xiang, Yuping Ning, Yuping Ning, Fengchun Wu, Kai Wu, Kai Wu, Kai Wu, Kai Wu, Kai Wu, Kai Wu, Kai Wu, Kai Wu   +38 more
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dancebean/mouse-brain-atlas 0.2

, 2019
Mouse Brain Atlas, including templates full brain of FVB_NCrl/C57BL/6J mouse model, and atlas of cerebellum for Tc1 mouse. The most up-to-dated mouse cerebellar laminar sublayer data is available at: https://github.com/dancebean/mouse-brain-atlas/tree/0.
dancebean
core   +1 more source

Toward a Neural Foundation Model: A Probabilistic Spike Representation Model to Mitigate Neural Variability

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Spike train data encapsulate precise information about neuronal firing patterns and serve as the primary modality for modeling neural dynamics. However, the variability of spike data impairs model ability to generalize across sessions and subjects.
Zhijian Gong, Ningling Ge, Shenghao Cao, Kaixi Tian, Shan Yu   +4 more
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A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth

Scientific Reports, 2017
Longitudinal characterization of early brain growth in-utero has been limited by a number of challenges in fetal imaging, the rapid change in size, shape and volume of the developing brain, and the consequent lack of suitable algorithms for fetal brain ...
Ali Gholipour, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Alireza Akhondi-Asl, Onur Afacan, Cynthia M. Ortinau, Sean Clancy, Catherine Limperopoulos, Edward Yang, Judy A. Estroff, Simon K. Warfield   +11 more
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Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy

Frontiers in Neuroinformatics, 2022
Brain mapping studies often need to identify brain structures or functional circuits into a set of individual brains. To this end, multiple atlases have been published to represent such structures based on different modalities, subject sets, and ...
Denis Rivière, Yann Leprince, Nicole Labra, Nicole Labra, Nabil Vindas, Ophélie Foubet, Bastien Cagna, Kep Kee Loh, William Hopkins, Antoine Balzeau, Antoine Balzeau, Martial Mancip, Jessica Lebenberg, Jessica Lebenberg, Yann Cointepas, Olivier Coulon, Jean-François Mangin   +16 more
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Macroanatomical Landmarks Featuring Junctions of Major Sulci and Fissures and Scalp Landmarks Based on the International 10–10 System for Analyzing Lateral Cortical Development of Infants

Frontiers in Neuroscience, 2017
The topographic relationships between the macroanatomical structure of the lateral cortex, including sulci and fissures, and anatomical landmarks on the external surface of the head are known to be consistent.
Daisuke Tsuzuki, Daisuke Tsuzuki, Daisuke Tsuzuki, Fumitaka Homae, Fumitaka Homae, Gentaro Taga, Hama Watanabe, Mie Matsui, Mie Matsui, Ippeita Dan   +9 more
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A brain-wide analysis maps structural evolution to distinct anatomical module

eLife, 2023
The vertebrate brain is highly conserved topologically, but less is known about neuroanatomical variation between individual brain regions. Neuroanatomical variation at the regional level is hypothesized to provide functional expansion, building upon ...
Robert A Kozol, Andrew J Conith, Anders Yuiska, Alexia Cree-Newman, Bernadeth Tolentino, Kasey Benesh, Alexandra Paz, Evan Lloyd, Johanna E Kowalko, Alex C Keene, Craig Albertson, Erik R Duboue   +11 more
doaj   +1 more source