about
Microstructural Parcellation of the Human Cerebral Cortex - From Brodmann's Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance ImagingMaturation of the language network: from inter- to intrahemispheric connectivitiesDiffusion tensor imaging segments the human amygdala in vivoPerception of words and pitch patterns in song and speechNeural language networks at birthPrecuneus shares intrinsic functional architecture in humans and monkeysSeparating distractor rejection and target detection in posterior parietal cortex--an event-related fMRI study of visual markingCritical comments on dynamic causal modelling"More is different" in functional magnetic resonance imaging: a review of recent data analysis techniques.Using replicator dynamics for analyzing fMRI data of the human brain.Wavelet statistics of functional MRI data and the general linear model.Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping.Meta-analysis of functional imaging data using replicator dynamics.Model-based clustering of meta-analytic functional imaging dataTask-Related Edge Density (TED)-A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain.Using non-negative matrix factorization for single-trial analysis of fMRI data.Detecting groups of coherent voxels in functional MRI data using spectral analysis and replicator dynamics.Conjunction analysis and propositional logic in fMRI data analysis using Bayesian statistics.Learning partially directed functional networks from meta-analysis imaging data.Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain.Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity.Exploring functional relations between brain regions from fMRI meta-analysis data: comments on Ramsey, Spirtes, and Glymour.Connectivity concordance mapping: a new tool for model-free analysis of FMRI data of the human brainExenatide-induced reduction in energy intake is associated with increase in hypothalamic connectivity.FMRI reveals brain regions mediating slow prosodic modulations in spoken sentences.Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI.Towards a standard analysis for functional near-infrared imaging.Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive ratesDeficient approaches to human neuroimaging.LIPSIA--a new software system for the evaluation of functional magnetic resonance images of the human brainNew concepts in brain networksParcellation of human amygdala in vivo using ultra high field structural MRI.Bayesian second-level analysis of functional magnetic resonance images.Image restoration and spatial resolution in 7-tesla magnetic resonance imaging.Event-related analysis for event types of fixed order and restricted spacing by temporal quantification of trial-averaged fMRI time courses.Auditory what, where, and when: a sensory somatotopy in lateral premotor cortex.Within-subject variability of BOLD response dynamics.Interoceptive awareness changes the posterior insula functional connectivity profile.Investigating the stimulus-dependent temporal dynamics of the BOLD signal using spectral methods.Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS.
P50
Q21558440-9B4A0F8A-FEA6-44CC-BD71-3C352142FB06Q21560810-1F0140E5-12D7-446A-A620-E7BA3A4B9D18Q21710676-875924DD-1B27-4D5F-BFA6-EB607EDC10ACQ21710759-4AE462CE-BFD1-466C-BB15-2BE141306353Q24635862-9C6C137F-D18C-4BB5-804F-31F8721E3889Q24658181-1FD86343-4A3F-4F5E-A042-37F19FD4762CQ25865013-9A2B2794-F5B5-49DE-A707-27A9C6042971Q29027463-843A51D2-378C-46BD-BE61-8CC0E06D1A1AQ30588323-DB9991DA-7DD5-4D94-BF9D-30FAE3754DA8Q30699381-08906F3D-3EFF-4DB0-BC92-EE4858C496DEQ30757843-5CC504B1-EEC9-408E-9E54-AB27DBCA3E37Q30814208-B49A2635-01AE-4A87-992A-D689D4692CB8Q30987862-BF18275D-CD96-4424-8F8C-1AE12AD2ED4CQ31107108-C37497B6-E108-4835-89D1-2D3101867E63Q31110471-ECAD3DFD-89B4-4F92-831A-079A5A67A147Q31120177-CC0BAE8C-A144-4551-8E9B-4D53B26F7FECQ31134670-A5C591C6-5803-454B-A20E-74FA3100892CQ33386367-55D84E8F-6132-43AB-89F3-2C09E5E07E21Q33509417-2A5E274C-B558-4D3F-AC1F-74F7D7709C2DQ33570517-539DB99F-62AC-40EF-B959-F799E0311FB7Q33726972-8F05DF33-B7F1-4C56-B0E7-B27A861EBF8BQ33746137-4A44B7BB-9381-4E9A-8C1C-19EA03F68669Q34217237-7DC6700E-17F3-4CE4-BE26-63EE904D292EQ36942260-CCB430D4-8945-420B-82EB-5D8A6E234866Q38432341-164B0379-A07A-4945-AE9E-6B6F1F9D0D1FQ39528855-B7840427-E0A1-400B-9BBB-F7C82D29500BQ40535987-96896BD6-F507-4375-BB09-E8AFBEE2D600Q41024615-2258A646-C9CC-4171-B88B-0D1EE83A2DCDQ41555967-92243232-3274-4AA2-9473-97CBF3084635Q41566915-40D09224-91DE-4433-B0D5-FF98F2A4471AQ41762704-6AA39C2D-6BCC-4697-B8A8-133D2E2F986BQ46849421-C0343DA6-F3CA-46B9-81AA-90BC83FDFD9BQ47433777-4484DE63-61EF-47F3-9C03-45E13C0213ADQ48152795-30484EE4-6D7D-4044-A7E5-F058018AFF48Q48162142-1E76D30D-E2F6-470E-874F-3EABFB78EDBCQ48180322-4C87E45D-DDDC-43B9-822D-6485B6DFDFA4Q48245287-25EDF430-6B1A-4EA6-9A60-5152B6A45080Q48364202-DD3135DF-1087-4D7F-94DE-4731C7BDCE38Q48384129-258C19DC-30E1-4E56-AA22-C616EBF1BC8DQ48431231-63EDD150-D380-4801-9108-25748BF30CAF
P50
description
neuroimaging researcher
@en
wetenschapper
@nl
name
Gabriele Lohmann
@ast
Gabriele Lohmann
@da
Gabriele Lohmann
@de
Gabriele Lohmann
@en
Gabriele Lohmann
@es
Gabriele Lohmann
@fo
Gabriele Lohmann
@fr
Gabriele Lohmann
@is
Gabriele Lohmann
@kl
Gabriele Lohmann
@nb
type
label
Gabriele Lohmann
@ast
Gabriele Lohmann
@da
Gabriele Lohmann
@de
Gabriele Lohmann
@en
Gabriele Lohmann
@es
Gabriele Lohmann
@fo
Gabriele Lohmann
@fr
Gabriele Lohmann
@is
Gabriele Lohmann
@kl
Gabriele Lohmann
@nb
prefLabel
Gabriele Lohmann
@ast
Gabriele Lohmann
@da
Gabriele Lohmann
@de
Gabriele Lohmann
@en
Gabriele Lohmann
@es
Gabriele Lohmann
@fo
Gabriele Lohmann
@fr
Gabriele Lohmann
@is
Gabriele Lohmann
@kl
Gabriele Lohmann
@nb
P108
P1053
C-3590-2008
P106
P2038
Gabriele_Lohmann
P21
P2456
P31
P3829
P496
0000-0002-5922-9016