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Conference Paper

BRIAN (Brain image analysis): A toolkit for the analysis of multimodal brain datasets

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Citation

Kruggel, F., & Lohmann, G. (1996). BRIAN (Brain image analysis): A toolkit for the analysis of multimodal brain datasets. In H. Lemke (Ed.), CAR '96: Computer Assisted Radiology (pp. 323-328). Amsterdam, The Netherlands: Elsevier.


Cite as: http://hdl.handle.net/21.11116/0000-0005-EA58-1
Abstract
The analysis of cognitive processes in man usually involves multiple examina­tion modalities which map different aspects of the brain. Among these proce­dures, at least one modality yielding anatomical information (i.e. MRI*) besidesone or more functional modalities (fMRI, PET, SPECT, EEG, MEG) are involved.Because these different examination methods yield complimentary informationabout the anatomical, metabolical and neurophysiological state of the brain, acombined data evaluation is highly desirable and will lead to results not achiev­able within one examination domain.Such studies are of importance in research (cognitive neuroscience) and ­ withan emphasis on pathological processes ­ in clinical disciplines like neurology,neurosurgery and psychiatry.We have developed a program package for the handling of image datasets(MRI, PET, SPECT, CCT) and signal datasets (EEG, MEG) which allows a com­bined analysis of these data sources in a four­dimensional coordinate space (x, y,z, and time).