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Non-normalized individual analysis of statistical parametric mapping for clinical fMRI
Takashi Nagata1, Naohiro Tsuyuguchi, Takehiro Uda
1Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan. tnagatam.0222512.ns@gmail.com
Background:
Pre-operative evaluation to localize function within the cerebral cortices is essential before brain surgery. Blood oxygenation level-dependent functional magnetic resonance imaging (fMRI) has been used for this purpose.
Aims:
To obtain clearer and more understandable functional images.
Patients And Methods:
Ten patients with brain tumors underwent fMRI including hand-gripping and word generation tasks. The statistical parametric mapping (SPM) approach was used for subsequent analysis to localize the motor or language functions. SPM includes image pre-processing, statistical computation, and significance testing. In order to demonstrate a spatial relationship between the lesions and a functioning area in the individual structural MR images, normalization to the Montreal Neurological Institute coordinates was intentionally not performed.
Results:
In seven cases out of 10, the patient's motor area was clearly visualized. Language areas were also demonstrated in seven cases.
Conclusions:
We conclude that application of SPM (version 8) analysis to non-normalized individual data for the purpose of performing pre-operative fMRI is a useful method for investigation of functional localization.
