Robust estimation of the probabilities of 3-D clusters in functional brain images: Application to PET data

Human Brain Mapping

Volumn 9, Issue 3, 2000, Pages 143-155

  Ledberg, Anders ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Cluster size; Linear model; Monte Carlo; PET; Statistics

Indexed keywords

ARTICLE; BLOOD OXYGENATION; COMPUTER SIMULATION; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; PROBABILITY; SYSTEM ANALYSIS; THREE DIMENSIONAL IMAGING; TISSUE BLOOD FLOW;

BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MODELS, NEUROLOGICAL; TOMOGRAPHY, EMISSION-COMPUTED;

EID: 0034018059     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0193(200003)9:3<143::AID-HBM3>3.0.CO;2-2     Document Type: Article

References (19)

1. Cao J (1997): The excursion set of random fields with applications to human brain mapping. PhD thesis, Department of Mathematics and Statistics, McGill University, Montreal.
2. 2, t, and F fields. Adv Appl Prob. In press.
3. Eaton M (1983): Multivariate statistic: A vector space approach. New York: Wiley.
4. Edgington ES (1980): Randomization tests. New York: Dekker.
5. Friston KJ, Frith CD, Liddle PF, Dolan RJ, Lammertsma AA, Frackowiak RSJ (1990): The relationship between global and local changes in PET scans. J Cereb Blood Flow Metab 10:458-466.
6. Friston KJ, Frith CD, Liddle PF, Frackowiak RSJ (1991): Comparing functional (PET) images: The assessment of significant change. J Cereb Blood Flow Metab 11:690-699.
7. Friston KJ, Worsley KJ, Frackowiak RSJ, Mazziotta JC, Evans AC (1994): Assessing the significance of focal activations using their spatial extent. Hum Brain Mapping 1:210-220.
8. Graybill F (1976): Theory and application of the linear model. North Scituate: Duxbury Press.
9. Holmes AP, Blair RC, Watson JDG, Ford I (1996): Nonparametric analysis of statistic images from functional mapping experiments. J Cereb Blood Flow Metab 16:7-22.
10. Ledberg A, Åkerman S, Roland PE (1998): Estimating the significance of 3D clusters in functional brain images. NeuroImage 8:113-128.
11. Meyer E (1989): Simultaneous correction for tracer arrival delay and dispersion in CBF measurements by the H215O autoradiographic method and dynamic PET. J Nucl Med 30:1069-1078.
12. Muirhead RJ (1982): Aspects of multivariate statistical theory. New York: Wiley.
13. Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1992): Numerical recipes in C (2nd Edition). Cambridge: Cambridge University Press.
14. Roland PE, Mortensen E (1987): Somatosensory detection of microgeometry, macrogeometry and kinesthesia in man. Brain Res Rev 12:1-42.
15. Roland PE, Graufelds CJ, Wåhlin J, Ingelman L, Andersson M, Ledberg A, Pedersen J, Åkerman S, Dabringhaus A, Zilles K (1994): Human brain atlas: For high-resolution functional and anatomical mapping. Hum Brain Mapping 1:173-184.
16. Woods RP, Cherry SR, Mazziotta JC (1992): Rapid automated algorithm for aligning and reslicing PET images. J Comput Assist Tomogr 16:620-633.
17. Worsley KJ, Evans AC, Marrett S, Neelin P (1992): A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab 12:900-918.
18. Worsley KJ, Marret S, Neelin P, Vandal AC, Friston KJ, Evans AC (1996): A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapping 4:58-73.
19. Worsley KJ, Andermann M, Koulis T, MacDonald D, Evans AC (1999): Detecting changes in nonstationary images via statistical flattening. NeuroImage 9:s11.