An evaluation of methods for detecting brain activations from functional neuroimages

Artificial Intelligence in Medicine

Volumn 25, Issue 1, 2002, Pages 69-88

  Lukic, Ana S ^a   Wernick, Miles N ^a   Strother, Stephen C ^b  

^a Illinois Institute of Technology   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

fMRI; Multivariate statistics; PET; ROC; Signal detection

Indexed keywords

FUNCTIONAL NEURAL STIMULATION; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; OPTICAL CORRELATION; STATISTICAL TESTS;

SIGNAL DETECTIONS;

BRAIN;

ANALYSIS OF VARIANCE; ARTICLE; BRAIN DEPTH STIMULATION; CORRELATION ANALYSIS; IMAGE QUALITY; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SIGNAL DETECTION; SIMULATION;

BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MULTIVARIATE ANALYSIS; PHANTOMS, IMAGING; ROC CURVE; TOMOGRAPHY, EMISSION-COMPUTED;

EID: 0036257354     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(02)00009-X     Document Type: Article

References (55)

1. On the detection of activation patterns using principal components analysis
2. Comparison of two exploratory data analysis methods for fMRI: Fuzzy clustering versus principal component analysis
3. Spatio-temporal accuracy of ICA for fMRI
4. Towards Bayesian image analysis
5. How good is good enough in path analysis of fMRI data?
6. Glucose use correlations: A matter of inference
7. Is multivariate analysis of PET data more revealing than the univariate approach? Evidence from a study of episodic memory retrieval
8. Functional connectivity: The principal component analysis of large (PET) data sets
9. Statistical parametric maps in functional neuroimaging: A general linear approach
10. A multivariate analysis of PET activation studies
11. A transformation for ordering multispectral data in terms of image quality with implications for noise removal
12. Generalizable patterns in neuroimaging: How many principal components?
13. Consensus inference in neuroimaging
14. Exploring fMRI data for periodic signal components
15. Nonparametric analysis of statistic images from functional mapping experiments
16. Intercorrelations of glucose use metabolic rates between brain regions: Application to healthy males in a state of reduced sensory input
17. Neural modeling, functional brain imaging, and cognition
18. Retrospective estimation and correction of physiological fluctuation in functional MRI
19. Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series
20. 15O]water PET brain images with prediction error selection of smoothing and regularization hyperparameters
21. Plurality and resemblance in fMRI data analysis
22. Functional connectivity in single and multislice echoplanar imaging using resting state fluctuations
23. Spatial pattern analysis of functional brain images using partial least squares
24. Interactions of prefrontal cortex in relation to awareness in sensory learning
25. Data mining in brain imaging
26. Correlational differences of regional glucose metabolism in Huntington, Parkinson, and Alzheimer diseases
27. The nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging
28. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data
29. Reproducibility of regional metabolic covariance patterns: Comparison of four populations
30. Nonlinear versus linear models in functional neuroimaging: learning curves and generalization crossover
31. Effects of changes in experimental design on PET studies of isometric force
32. Node merging in Kohonen's self-organizing mapping of fMRI data
33. Statistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models
34. Abnormal functional connectivity in post-traumatic stress disorder
35. ROC analysis of statistical methods used in functional MRI: Individual subjects
36. A novel spatio-temporal approach for analyzing fMRI experiments
37. Quantitative comparisons of image registration techniques based on high resolution MRI of the brain
38. Linear models of orthogonal subspaces & networks from functional activation pet studies of the human brain
39. Principal component analysis, variance partitioning and functional connectivity
40. 15O]water PET
41. Measuring activation pattern reproducibility using resampling techniques
42. The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework
43. 15O]water PET functional activation study (part 2)
44. Reproducibility of BOLD-based functional MRI obtained at 4T
45. A three-dimensional statistical analysis for CBF activation studies in human brain
46. Applications of random field theory to functional connectivity
47. Detecting changes in non-isotropic images
48. Interregional connectivity to primary motor cortex revealed using MRI resting state images
49. 15O]water PET brain volumes