✦ LIBER ✦

Statistical thinking in functional and structural magnetic resonance neuroimaging

✍ Scribed by Nicholas Lange

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 121 KB
Volume: 18
Category: Article
ISSN: 0277-6715
DOI: 10.1002/(sici)1097-0258(19990915/30)18:17/18<2401::aid-sim264>3.0.co;2-z

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✦ Synopsis

Burning issues abound in the emerging "eld of biostatistics for imaging studies of the living human brain. This paper employs two examples to discuss the roles of informed empirical models and modern statistical methods in the analysis of functional and structural magnetic resonance neuroimages. The "rst example derives from an analysis of a functional baseline study in which simulated signals are embedded in actual brain &noise' generated by a resting subject lying passively in the imaging device. The second example is taken from a structural volumetric analysis of human brain structure size di!erences in a sample of healthy adults.

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