A unified statistical approach for determining significant signals in images of cerebral activation.
Hum Brain Mapp
; 4(1): 58-73, 1996.
Article
en En
| MEDLINE
| ID: mdl-20408186
We present a unified statistical theory for assessing the significance of apparent signal observed in noisy difference images. The results are usable in a wide range of applications, including fMRI, but are discussed with particular reference to PET images which represent changes in cerebral blood flow elicited by a specific cognitive or sensorimotor task. Our main result is an estimate of the P-value for local maxima of Gaussian, t, chi(2) and F fields over search regions of any shape or size in any number of dimensions. This unifies the P-values for large search areas in 2-D (Friston et al. [1991]: J Cereb Blood Flow Metab 11:690-699) large search regions in 3-D (Worsley et al. [1992]: J Cereb Blood Flow Metab 12:900-918) and the usual uncorrected P-value at a single pixel or voxel.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Hum Brain Mapp
Asunto de la revista:
CEREBRO
Año:
1996
Tipo del documento:
Article
Pais de publicación:
Estados Unidos