about
Improving functional magnetic resonance imaging reproducibilityThe ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic dataThe neural system that bridges reward and cognition in humans: an fMRI study.Data sharing and publishing in the field of neuroimagingNeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brainOngoing dynamics in large-scale functional connectivity predict perception.Why shared data should not be acknowledged on the author bylineStatistical parametric maps in functional imaging: A general linear approachBrainhack: a collaborative workshop for the open neuroscience communityCerebral mechanisms of word masking and unconscious repetition primingThe visual word form area: a prelexical representation of visual words in the fusiform gyrusInverse retinotopy: inferring the visual content of images from brain activation patterns2015 Brainhack ProceedingsThe brain imaging data structure, a format for organizing and describing outputs of neuroimaging experimentsNeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brainOrthogonalization of regressors in FMRI modelsWhich fMRI clustering gives good brain parcellations?A simple tool for neuroimaging data sharingFrontiers in brain imaging methods grand challengePyXNAT: XNAT in PythonData sharing in neuroimaging researchA very simple, re-executable neuroimaging publicationFast reproducible identification and large-scale databasing of individual functional cognitive networks.Ambiguous results in functional neuroimaging data analysis due to covariate correlation.Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.Multivariate model specification for fMRI data.Interoperable atlases of the human brain.Comment on "A simple tool for neuroimaging data sharing".The publication and reproducibility challenges of shared data.Coordinate-based versus structural approaches to brain image analysis.Anatomically informed interpolation of fMRI data on the cortical surface.Structural analysis of fMRI data revisited: improving the sensitivity and reliability of fMRI group studies.Best practices in data analysis and sharing in neuroimaging using MRI.Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.Characterizing the response of PET and fMRI data using multivariate linear models.Brain classification reveals the right cerebellum as the best biomarker of dyslexia.Autism: functional brain mapping of exceptional calendar capacity.Adolescent impulsivity phenotypes characterized by distinct brain networks.The general linear model and fMRI: does love last forever?Group analysis in functional neuroimaging: selecting subjects using similarity measures.
P50
P664
Q24288840-e48674b3-4755-72b4-0f00-89948d1c301aQ24289484-c599842f-401f-86a8-ddbd-75e387db7403Q24534155-46c40b55-4853-6da6-2246-bbb43e82077bQ24810371-19ffc419-4680-9aa4-3cc9-5423050de17cQ25473166-BEF8C890-AE29-440D-BE64-23F6D43810ABQ25473166-d569f14e-4b0b-bff9-87b3-b5a0a0fb94bbQ27325594-7eb3fa7f-44fd-8765-8833-5e5bca4e06b4Q27556297-8752a1d9-4c2a-5531-e0d7-e9a6a67b5cd9Q27864122-cf74589f-4b33-405b-5cf6-c6a2d8a5902bQ28080174-065075a7-4087-5321-7a95-a6ef5fcf5794Q28203766-fcf0b273-4087-151e-0687-ed2b7cca10f2Q28212427-f727c7ff-4278-ad79-30ff-3d10727a3598Q28267605-7053300a-474f-2956-14f5-f67b5679c594Q28595999-9AB662FF-0E6F-44A9-9C02-04C7B80C01D9Q28598083-026D3E2A-C64C-4D66-8F4E-DF7406B67E05Q28602050-02C0C9B4-AD65-4D20-9564-FE3C344EEAFCQ28648311-75168FE6-2E52-4104-A913-D51179941B5CQ28656459-12194CCC-04D3-4FBC-A2FF-6A25AC2A2880Q28659297-92749349-0094-46F3-AE4D-0C270893C05DQ28727460-B24753F5-985C-448F-BC75-53D99524A897Q28729910-0AE4F469-6433-460F-870E-4FF30497BFDCQ28730743-CF19DECC-DBE5-49AB-AFA8-AFC18C34AFBBQ29014815-5A0BDCF6-66AB-4A61-A120-2225EFFF70AEQ29014815-A1D806AC-A51C-49ED-A1E1-A34F83B192C0Q30481276-ECBDC05A-654B-4EEA-987F-991DED12C5DEQ30581764-85ACB485-266F-4ECE-B996-6C60F30F98D4Q30705169-1238439D-22E0-40DA-BA8C-3FF62812C8B1Q30717205-B602BE00-779F-45DB-A399-5F972BE10D5CQ30831675-1F47E9D1-E948-44C0-83AD-5F3D82F8D2E5Q30870066-22206145-67FC-4C3F-9616-096D95D9A380Q30881529-71135D86-A7AE-478A-813E-F16C59CC71B4Q30909411-E49AF6F6-BB3C-4E03-A812-E86BEEFAEAA9Q31038921-0F67AD9D-ADB5-4DC2-8642-EDA93A1E7BF8Q31131119-013F0214-74A2-45F4-9EA3-6C139875D8E4Q31165126-BE2DE0B9-E2E5-4E35-A0FA-7847C7D88124Q31165329-934B6EBC-DC47-426E-AA04-6B474981918FQ32160272-554F56E9-5A75-4FC7-83FC-CF725C52F874Q33474551-6E2FCEF7-BF5F-4413-A7AA-6281807D7868Q33988311-5095EF5C-B310-4B79-8B01-29A362ADC599Q34031695-A1D44F12-69ED-4A7B-BE88-37A24C74CE98
P50
description
Frans onderzoeker
@nl
investigador francés
@ast
investigador francés
@es
neuroimaging forsker
@da
neuroimaging researcher
@en
name
Jean-Baptiste Poline
@ast
Jean-Baptiste Poline
@ca
Jean-Baptiste Poline
@da
Jean-Baptiste Poline
@de
Jean-Baptiste Poline
@en
Jean-Baptiste Poline
@es
Jean-Baptiste Poline
@fo
Jean-Baptiste Poline
@fr
Jean-Baptiste Poline
@is
Jean-Baptiste Poline
@kl
type
label
Jean-Baptiste Poline
@ast
Jean-Baptiste Poline
@ca
Jean-Baptiste Poline
@da
Jean-Baptiste Poline
@de
Jean-Baptiste Poline
@en
Jean-Baptiste Poline
@es
Jean-Baptiste Poline
@fo
Jean-Baptiste Poline
@fr
Jean-Baptiste Poline
@is
Jean-Baptiste Poline
@kl
altLabel
J B Poline
@da
J B Poline
@de
J B Poline
@en
J.-B. Poline
@da
J.-B. Poline
@de
J.-B. Poline
@en
J.-B. Poline
@fo
J.-B. Poline
@fr
J.-B. Poline
@is
J.-B. Poline
@kl
prefLabel
Jean-Baptiste Poline
@ast
Jean-Baptiste Poline
@ca
Jean-Baptiste Poline
@da
Jean-Baptiste Poline
@de
Jean-Baptiste Poline
@en
Jean-Baptiste Poline
@es
Jean-Baptiste Poline
@fo
Jean-Baptiste Poline
@fr
Jean-Baptiste Poline
@is
Jean-Baptiste Poline
@kl
P1416
P106
P1412
P1416
P1960
BU7Zdi4AAAAJ
P2037
P2038
Jean-Baptiste_Poline
P21
P27
P31
P496
0000-0002-9794-749X
P569
2000-01-01T00:00:00Z
P6634
jean-baptiste-poline-5923a04b