Predicting the location of entorhinal cortex from MRI. - Test2 - elhamkhani - TriplyDB

Predicting the location of entorhinal cortex from MRI.

Predicting the location of entorhinal cortex from MRI.

http://www.wikidata.org/entity/Q37335585

about

Microstructural Parcellation of the Human Cerebral Cortex - From Brodmann's Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance Imaging FreeSurfer Investigating the functions of subregions within anterior hippocampus Entorhinal Cortex Thickness across the Human Lifespan MRI parcellation of ex vivo medial temporal lobe.Human hippocampal subfields in young adults at 7.0 T: feasibility of imaging Hippocampal subfield atrophy in relation to cerebrospinal fluid biomarkers and cognition in early Parkinson's disease: a cross-sectional study.Radial and tangential neuronal migration pathways in the human fetal brain: anatomically distinct patterns of diffusion MRI coherence.Thickness of the human cerebral cortex is associated with metrics of cerebrovascular health in a normative sample of community dwelling older adults Laminar activity in the hippocampus and entorhinal cortex related to novelty and episodic encoding.Entorhinal cortex volume in older adults: reliability and validity considerations for three published measurement protocols.Medial temporal cortices in ex vivo magnetic resonance imaging.Blockface histology with optical coherence tomography: a comparison with Nissl staining Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocol.Glial Regulation of the Neuronal Connectome through Local and Long-Distant Communication.Functional subregions of the human entorhinal cortex.A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.Entorhinal verrucae geometry is coincident and correlates with Alzheimer's lesions: a combined neuropathology and high-resolution ex vivo MRI analysis Hippocampal complex atrophy in poststroke and mild cognitive impairment Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.Interaction between BDNF rs6265 Met allele and low family cohesion is associated with smaller left hippocampal volume in pediatric bipolar disorder.Measuring and comparing brain cortical surface area and other areal quantities.Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortex Comprehensive cellular-resolution atlas of the adult human brain.Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity.Cerebrospinal Fluid Levels of Amyloid Beta 1-43 Mirror 1-42 in Relation to Imaging Biomarkers of Alzheimer's Disease.Alzheimer's disease: The influence of age on clinical heterogeneity through the human brain connectome.Cytoarchitecture, probability maps and functions of the human frontal pole.Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.Entorhinal cortex: a good biomarker of mild cognitive impairment and mild Alzheimer's disease.Anterior hippocampus: the anatomy of perception, imagination and episodic memory.Mid-space-independent deformable image registration.Harnessing advances in structural MRI to enhance research on Parkinson's disease.Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach.Organization and Detailed Parcellation of Human Hippocampal Head and Body Regions Based on a Combined Analysis of Cyto- and Chemoarchitecture.Biomarkers in subtypes of mild cognitive impairment and subjective cognitive decline.A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?Three-dimensional probability maps of the rhinal and the collateral sulci in the human brain.Imaging hippocampal subregions with in vivo MRI: advances and limitations.

P2860

Q21558440-0942F448-7151-4384-8A00-06008DA7426E Q28124699-23A2760D-99BC-41E8-B54D-10AA88A628C5 Q28603785-CA2A021D-BDF7-43FD-8CDA-014E67D05048 Q30278092-819926DA-405E-40DD-8FBD-54F6B11E62B8 Q30631700-23E5FA60-DA44-4316-BB5A-48E9D60C1736 Q33528381-9C8A1AB4-A30C-4CD6-9893-AD9C04EEBE3B Q33917300-A1A3BF35-40EA-47F2-A3DF-6CA9FE258479 Q33951252-39C5B775-C479-4F33-BCFB-616463A341E6 Q34517625-35900682-8BD0-4A3E-8CFD-00638AEA8082 Q34677708-DD222887-620C-46BF-967D-6E167F72679D Q34759046-78F771E0-628A-46EB-A6D9-B3C0462333CF Q34861994-FD51AFFA-973F-4059-B1D7-1F8AFCAEDE9B Q35042826-29159989-2939-482E-84F7-E1B7EEB60838 Q35286739-77F898A8-640A-4B41-8FD7-BA89D541A9BC Q35590442-C80238B5-BCFA-4BD4-B873-60527A193370 Q35692572-CFED6C93-6E62-4FC5-AD0E-7AB083490778 Q35706748-35DA6DD8-A733-47A5-B315-64BC2D75B783 Q35755478-2EDDE3D0-70F5-48BC-9BF0-7014825F09EC Q36254312-787EDFFB-9448-4C21-B796-FBD2B914490A Q36428970-EE706D0D-0C26-4112-8C5D-8B5437868598 Q36522620-F8679340-AC18-428C-B9E1-6758D96852FA Q36810603-73EF89C1-0FE1-4425-BEE2-BA7107F1DFFC Q37164119-02B1BDFE-E05F-4272-A2C0-99E4DF73DE7D Q37320571-BC621579-0D90-487C-BDF9-CA80D6ABECFD Q37395802-D19DF15A-C950-4E70-81AA-051F879EE344 Q37533514-072727C3-691B-4684-9089-826980A81E73 Q37627051-A8C75842-0AA9-4339-9988-1DA7AD8F4BEA Q37653352-D37A7770-5679-49B7-B40F-77A49D6E4F0A Q37664719-C2311E9D-2733-4C5D-9B4F-977861C270D9 Q38386879-AFE5A18A-DE5C-4B0C-B9FF-9AAE8F725282 Q38601339-ABD0B6A1-180F-444B-AF64-459B0AC001E8 Q38728919-29014B8C-FC39-497E-94B4-F4420BB69BF1 Q38938936-131828DA-8802-41CD-8960-D565FDE728C4 Q40760337-9AE52CFB-3CDC-4EBE-B96A-CD94F173CDAC Q40922626-2BFCE412-C864-46B3-B1AE-2F254F4481DA Q41075259-65CD4103-B3D4-4EB2-991E-39D53E5BCF9E Q41691372-7CB7AA64-2E7F-4355-B754-55DA6DEC95CF Q46189231-E96D1364-F669-4F2B-BD97-D4A4534C9E85 Q48721757-39616474-F794-4835-A76A-89287DD1A64C Q48766588-FD194A4D-72B2-4999-96ED-2F3482936EC8

P2860

Predicting the location of entorhinal cortex from MRI.

http://www.wikidata.org/entity/Q37335585

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 16 April 2009

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Predicting the location of entorhinal cortex from MRI.

@en

Predicting the location of entorhinal cortex from MRI.

@nl

type

label

Predicting the location of entorhinal cortex from MRI.

@en

Predicting the location of entorhinal cortex from MRI.

@nl

prefLabel

Predicting the location of entorhinal cortex from MRI.

@en

Predicting the location of entorhinal cortex from MRI.

@nl

P1433

Q37335585-37076D81-37E2-4A4B-BB66-21E981018B53

P1476

Q37335585-CA3E3928-B485-40A5-9900-500EFC0A89D0

P2093

Q37335585-061D9D20-6063-44AA-B23C-B87725809CF9

Q37335585-1DB89E69-9199-44A7-86EF-10B40B53F942

Q37335585-23C31871-ABAB-4C63-956E-C6DE96443C31

Q37335585-4F63E904-2D5A-43AD-999B-2019545D7478

Q37335585-56FF35AE-1050-45F9-AD8F-A5377D672962

Q37335585-66A6354A-BD3B-41EF-A26F-E1C58029DE36

Q37335585-7B187C2E-11CE-4DB2-9638-F06F4A15EA04

Q37335585-7D840AFB-EFBF-488F-97F6-34AF4DC1BD44

Q37335585-90086899-15F3-4C4C-B15F-993665D1B304

Q37335585-B3E05376-EC13-4263-835A-E9B0A012DD32

P2860

Q37335585-04034631-FB0A-4E3B-9A0D-AB398B756A7B

Q37335585-06A48783-DF0A-4B1A-8611-4C1093094F63

Q37335585-0A32C287-1CCC-47BB-B252-EA7A8A2259BD

Q37335585-11DD15FD-0EB8-43CD-8D1C-6BCFE0F6D5BC

Q37335585-12EF4000-C60C-4C4B-A4C4-E595FE065E98

Q37335585-184FAC75-49D9-43C4-918B-DAE74E1B7C6F

Q37335585-191D4FFD-2C37-453D-BC9F-531DBD1ED298

Q37335585-1FE61771-22F0-4509-9101-2C89163CFEF5

Q37335585-21C2CD2C-E0C7-45CD-9AE1-D02E847C0468

Q37335585-24E8E1BB-98E4-4ADE-8085-2831EFFACD48

P304

Q37335585-27917EA9-47ED-43EE-8555-24E15DC7378B

P31

Q37335585-78089B98-4CD6-4A8F-BB71-6B923D6652E9

P356

Q37335585-A3F739D6-04CA-4F94-BB6C-738D95A602CA

P407

Q37335585-7089003A-322F-4DA6-96F8-7038B1B0E051

P433

Q37335585-7CFF79B5-2848-464F-9849-878F073DFB29

P478

Q37335585-A75BFC5E-3A75-4204-8DFB-8B89C1E2998A

P50

Q37335585-032737E9-7018-4DE4-8E70-9D7D51A66A00

Q37335585-53A6FD11-2E7B-4BA3-9B1E-C32C83A82C22

Q37335585-761976CF-896E-4A39-AD54-54A81A6EAA54

Q37335585-967E9019-68B5-4E35-863F-DBCBE5317DF6

Q37335585-D05D60DC-E186-42DA-A8BA-9B51477BE142

Q37335585-EE4DEBEB-C7FA-4B6D-9EB7-CB5244CA293B

Q37335585-EFF27E00-7CF5-49EA-9910-9EB46430AE2A

P577

Q37335585-3F212AFE-633D-4B2C-80CA-FB74F518019C

P5875

Q37335585-CEE60EED-2AA2-4E01-8BFB-0F509279289B

P698

Q37335585-C0851FAC-2E0B-4FF3-98B0-38ED55B65755

P932

Q37335585-391C0A6F-7AF8-4B71-9703-2BC2C8447670

P356

J.NEUROIMAGE.2009.04.033

P1433

P1476

Predicting the location of entorhinal cortex from MRI.

@en

P2093

Allison A Stevens

http://www.w3.org/2001/XMLSchema#string

André J W van der Kouwe

http://www.w3.org/2001/XMLSchema#string

B T Thomas Yeo

http://www.w3.org/2001/XMLSchema#string

Bruce R Rosen

http://www.w3.org/2001/XMLSchema#string

David H Salat

http://www.w3.org/2001/XMLSchema#string

Graham C Wiggins

http://www.w3.org/2001/XMLSchema#string

Jean C Augustinack

http://www.w3.org/2001/XMLSchema#string

Jennifer Melcher

http://www.w3.org/2001/XMLSchema#string

Jennifer Pacheco

http://www.w3.org/2001/XMLSchema#string

Matthew P Frosch

http://www.w3.org/2001/XMLSchema#string

P2860

Neuropathological stageing of Alzheimer-related changes

Cortical Surface-Based Analysis

Microstructure of a spatial map in the entorhinal cortex

Spatial representation in the entorhinal cortex

Clinical, pathological, and neurochemical changes in dementia: A subgroup with preserved mental status and numerous neocortical plaques

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain

Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system

Measuring the thickness of the human cerebral cortex from magnetic resonance images

High-resolution intersubject averaging and a coordinate system for the cortical surface

The neuropathology of schizophrenia. A critical review of the data and their interpretation.

P304

8-17

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1016/J.NEUROIMAGE.2009.04.033

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

47

http://www.w3.org/2001/XMLSchema#string

P50

Randy L. Buckner

Koen Van Leemput

Douglas N. Greve

Lawrence L Wald

Jonathan R Polimeni

P577

2009-04-16T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

24307269

http://www.w3.org/2001/XMLSchema#string

P698

19376238

http://www.w3.org/2001/XMLSchema#string

P932

2738987

http://www.w3.org/2001/XMLSchema#string