LIPSIA--a new software system for the evaluation of functional magnetic resonance images of the human brain.
By Gabriele Lohmann, Karsten Müller, V. Bosch, H. Mentzel, S. Hessler, Lin Chen, Stefan Zysset, D. V. Cramon. Computerized Medical Imaging and Graphics, 2001
376 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/6b4986cc3e7e744d7b0de053f141742be73d8a15
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- D. von Cramon
- Daniel S. Margulies
- Robert Turner
- Robert Trampel
- Andreas K. Engel
- Matthias Schlesewsky
- Stefan Koelsch
- Angela D. Friederici
In Radiology, Nuclear Medicine and Imaging
- D. von Cramon
- Daniel S. Margulies
- Robert Turner
- Arno Villringer
- Andreas K. Engel
- Christian J. Fiebach
- Stefan Debener
- Angela D. Friederici
Citations in the corpus
- Cognitive control in the posterior frontolateral cortex: evidence from common activations in task coordination, interference control, and working memory (2004, methodology): “We performed the analysis of the fMRI data using the LIPSIA software package (Lohmann et al., 2001).”
- Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): Random permutations and cluster size control (2011, positive): “Nevertheless, we are working on very fast C/C++ implementation that employs massive parallelism in the framework of our in-house fMRI analysis software LIPSIA (Lohmann et al., 2001), to address this problem.”
- The role of left inferior frontal and superior temporal cortex in sentence comprehension: localizing syntactic and semantic processes. (2003, positive): “The functional imaging data processing was performed using the software package LIPSIA (Lohmann et al., 2001).”
- Trial-by-Trial Coupling of Concurrent Electroencephalogram and Functional Magnetic Resonance Imaging Identifies the Dynamics of Performance Monitoring (2005, methodology): “MR data processing was performed using the software package LIPSIA (Lohmann et al., 2001).”
- Differential Contribution of Frontal and Temporal Cortices to Auditory Change Detection: fMRI and ERP Results (2002, methodology): “The data processing was performed using the software package LIPSIA (Lohmann et al., 2001; see also http://www.cns.mpg.de/lipsia).”
- Investigating emotion with music: An fMRI study (2006, methodology): “Participants were presented at least 3 days prior to the functional MRI study with the musical stimuli (i.e., with both original and electronically manipulated versions) to ensure that all participants were similarly familiar with the stimulus material.”
- Who did what to whom? The neural basis of argument hierarchies during language comprehension (2005, methodology): “The fMRI data were analyzed using the LIPSIA software package (Lohmann et al., 2001), which contains tools for preprocessing, registration, statistical evaluation and presentation of fMRI data.”
- Subprocesses of Performance Monitoring: A Dissociation of Error Processing and Response Competition Revealed by Event-Related fMRI and ERPs (2001, methodology): “The fMRI data were processed using the software package LIPSIA (Lohmann et al., 2001).”
- Violation of Expectation: Neural Correlates Reflect Bases of Prediction (2008, positive): “MR data processing was performed using the software package LIPSIA (Lohmann et al., 2001), which contains tools for preprocessing, coregistration, statistical evaluation, and visualization of fMRI data.”
- Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain (2010, methodology): “Data processing was done using the software system Lipsia [26].”
- The Anterior Frontomedian Cortex and Evaluative Judgment: An fMRI Study (2002, methodology): “…et al., 1993; Norris, 2000) images (data matrix 256 256, TR 1.3 s, TE 10 ms) and 16 T1-weighted EPI images with the same parameters as the functional data were acquired. fMRI Data Analysis The fMRI data were processed on a SGI Origin 2000 with in-house software LIPSIA (Lohmann et al., 2001).”
- Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping (2014, methodology): “Using LIPSIA, a GLM was fitted to each trial to estimate its β-parameters.”