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An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
2006
NeuroImage
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In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyral based ...
These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable. ...
The authors would like to thank Drs. Thomas Kemper and Douglas Rosene for their insightful discussions concerning the anatomical boundaries for the various regions of interest, Dr. ...
doi:10.1016/j.neuroimage.2006.01.021
pmid:16530430
fatcat:y4rvoddyjrc7nbozdeumoqmzr4
A Hybrid High-Resolution Anatomical MRI Atlas with Sub-parcellation of Cortical Gyri using Resting fMRI
[article]
2020
bioRxiv
pre-print
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The cortical regions were further sub-parcellated based on connectivity analysis of resting fMRI data from multiple subjects in the Human Connectome Project (HCP) database, which were coregistered to the ...
2) the hybrid USCBrain atlas, which used additional functional information to guide the sub-parcellation of the cerebral cortex. ...
and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. ...
doi:10.1101/2020.09.12.294322
fatcat:llicth3vwndjrn36py2cdq7osa
Maps of the Brain
2001
The Anatomical Record
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The major methods are presented for the construction of probabilistic atlases, which store information on anatomic and functional variability in a population. ...
The enormous diversity of brain maps and imaging methods has spurred the development of population-based digital brain atlases. ...
ACKNOWLEDGMENTS This work was generously supported by research grants from the National Center for Research Resources (RR13642), National Library of Medicine (LM/ MH05639), NINDS (NS38753), the National ...
doi:10.1002/ar.1057
pmid:11323769
fatcat:bc54xb4qcrhkvml76vclreiblq
Human cerebral cortex: A system for the integration of volume- and surface-based representations
2006
NeuroImage
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We describe an MRI-based system for topological analysis followed by measurements of topographic features for the human cerebral cortex that takes as its starting point volumetric segmentation data. ...
These measurements can be regionally specific and integrated with systems of cortical parcellation that subdivides the neocortex into gyral-based parcellation units (PUs). ...
This system is comprehensive and based upon structural MRI scans, topographically specific and allows for integration with other imaging techniques such as morphometric, diffusion tensor MRI (DT-MRI) and ...
doi:10.1016/j.neuroimage.2006.04.220
pmid:16920366
fatcat:eoqoq4sw3rghdlrs7n7vxtlzbm
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
2010
NeuroImage
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The final parcellation was used to build an atlas for automatically labeling the whole cerebral cortex. ...
Precise localization of sulco-gyral structures of the human cerebral cortex is important for the interpretation of morpho-functional data, but requires anatomical expertise and is time consuming because ...
Acknowledgments We thank Henry DUVERNOY, MD, Besançon, France, for his advice in cerebral cortex nomenclature, and for proofreading the manuscript, and Jacqueline VONS, PhD, Centre d Etudes Superieures ...
doi:10.1016/j.neuroimage.2010.06.010
pmid:20547229
pmcid:PMC2937159
fatcat:afrbm2hoyna5zeswb7ldhop2du
A Review: Detecting Alterations of Brain Connectivity in Schizophrenia based on Structural MRI
2014
African Journal of Psychiatry
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The primary approach of grey matter connectivity analysis is based on brain network constructed from structural MRI (sMRI). ...
Compared with studies focused on functional and white matter connectivity, the research of grey matter connectivity is relatively less and should be paid more attention. ...
Acknowledgment This work is partially supported by the Natural Science Foundation of China (Grant No. 81101107) and Natural Science Foundation of Beijing (Grant No. 3112005). ...
doi:10.4172/1994-8220.1000159
fatcat:jzf3hr7rkra6pcmrou7uyzmxyq
A Review: Detecting Alterations of Brain Connectivity in Schizophrenia based on Structural MRI
2014
Journal of Psychiatry
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The primary approach of grey matter connectivity analysis is based on brain network constructed from structural MRI (sMRI). ...
Compared with studies focused on functional and white matter connectivity, the research of grey matter connectivity is relatively less and should be paid more attention. ...
Acknowledgment This work is partially supported by the Natural Science Foundation of China (Grant No. 81101107) and Natural Science Foundation of Beijing (Grant No. 3112005). ...
doi:10.4172/psychiatry.1000159
fatcat:ac4dupkpzfhbnn744d3rrf2lxa
An Introduction to Maps and Atlases of the Brain
[chapter]
2000
Brain Mapping: The Systems
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Digital mapping of structural and functional image data into a common 3D coordinate space is a prerequisite for many types of brain imaging research, as it supplies a quantitative spatial reference system ...
Design of appropriate reference systems for human brain data presents considerable challenges, since these systems must capture how brain structure and function vary in large populations, across age and ...
Projection of digital anatomic models into PET data can also serve to define regions of interest for quantitative calculations of regional cerebral blood flow (Ingvar et al., 1994) . ...
doi:10.1016/b978-012692545-6/50003-9
fatcat:bou4diffyfgg7njgmi6i4p7wmu
Sulcal thickness as a vulnerability indicator for schizophrenia
2007
British Journal of Psychiatry
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Method An automated parcellation method was used to measure the superior frontal, inferior frontal, cingulate, superior temporal and inferior temporal sulci in the relatives of patients (n=19) and controls ...
Cortical thinning in these regions suggests that liability genes affect the dendrites, synapses or myelination process during the neurodevelopment of the cortical mantle. ...
correct models of the human cerebral cortex. cortex. ...
doi:10.1192/bjp.bp.106.034595
pmid:17766763
fatcat:pgkvwjakbnfrjnlisijo6dnr2u
Supplemental material for The 100 top-cited articles focused on magnetic resonance: a bibliometric analysis
2018
Figshare
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Supplemental material for The 100 top-cited articles focused on magnetic resonance: a bibliometric analysis by Soo Jeong Yoon, Dae Young Yoon, Kyoung Ja Lim, Ji Yoon Moon, Su Jin Hong, Sora Baek and Eun ...
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based
regions of interest. ...
A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Fischl B et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. ...
doi:10.25384/sage.6974063
fatcat:2z7ov3xhwrhehaw5itjbd6w4ui
A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0–2 year age range
2015
Frontiers in Human Neuroscience
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Regional infant brain development: an MRI-based morphometric analysis in 3 to 13 month olds. Cereb. ...
Introduction Segmentations of volumetric magnetic resonance imaging (MRI) scans of the human brain have been widely used in neuroscience as an important basis for both structural and functional analysis ...
doi:10.3389/fnhum.2015.00021
pmid:25741260
pmcid:PMC4332305
fatcat:gesz4kvvqverlfobxykdeg6hkm
Effects of MiR-137 genetic risk score on brain volume and cortical measures in patients with schizophrenia and controls
2018
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
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by MIR137 on brain regions associated with memory function. ...
This did not survive correction for multiple testing. In conclusion, our study yielded only suggestive evidence that risk variants interacting with MIR137 impacts on cortical structure. ...
Acknowledgements We wish to thank all patients and their support staff, and all healthy volunteers for participating in the data collection on which this manuscript is based. ...
doi:10.1002/ajmg.b.32620
pmid:29418072
fatcat:q67khjnumvguzcprzhj22y5674
A Four-Dimensional Probabilistic Atlas of the Human Brain
2001
JAMIA Journal of the American Medical Informatics Association
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information on structure and function of the human brain in persons between the ages of 18 and 90 years. ...
Given the presumed large but previously unquantified degree of structural and functional variance among normal persons in the human population, the basis for this atlas and reference system is probabilistic ...
They also thank Laurie Carr for preparation of the manuscript and Andrew Lee for preparation of illustrations. ...
doi:10.1136/jamia.2001.0080401
pmid:11522763
pmcid:PMC131040
fatcat:njxyubyf5rgingyldwiq3u6n7u
A New Anatomical Landmark for Reliable Identification of Human Area V5/MT: a Quantitative Analysis of Sulcal Patterning
2000
Cerebral Cortex
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The location of human area V5 (or MT) has been correlated with the intersection of the ascending limb of the inferior temporal sulcus (ALITS) and the lateral occipital sulcus (LO). ...
We confirmed the stereotaxic location of V5 and were able to describe a fairly consistent sulcal pattern in the parieto-temporo-occipital cortex. ...
the technicians of the MRI unit. ...
doi:10.1093/cercor/10.5.454
pmid:10847595
fatcat:c2obwpnbcvfmrnxlzmuc7t5jwm
NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns
2016
NeuroImage
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These techniques replaced modules that might be suboptimal for regional analysis of poor-contrast neonatal cortex. ...
between templates, ii) neonatal template construction based on age-specific subgroups, and iii) masking of non-interesting structures using label-fusion approaches. ...
Acknowledgements This study is supported by National Institutes of Health (NIH) grants (R01EB009756, R01HD072024, R01NS046432, P01NS082330). ...
doi:10.1016/j.neuroimage.2016.05.034
pmid:27184202
pmcid:PMC4982765
fatcat:o6jtkxtp2nb6leqze4gc6di3bu
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