The analysis and classification of EEG signals can lead to better diagnostic techniques for brain-related disorders.
We presented a new MRAC technique for brain images acquired on simultaneous PET/MR scanners.
Brain volume was measured from T1-weighted images via use of a seed-growing technique for brain tissue segmentation.
Functional near-infrared spectroscopy (fNIRS), a promising noninvasive imaging technique, has become an increasingly popular neuroimaging technique for brain function research in recent years [ 1– 4].
Although conventional MR imaging (MRI) is the most widely used non-invasive technique for brain tumor grading, its accuracy has been reported to be relatively low.
Magnetic resonance (MR) imaging is a non-invasive medical imaging technique that provides excellent soft tissue contrast and has become the standard imaging technique for brain tumor diagnosis [ 1].
BOLD-fMRI is a well-established noninvasive technique for brain function study because it offers a great potential to uncover the neural mechanisms that underlie normal development, ageing, and neurological as well as psychiatric disorders [ 54].
The molecular basis of repetitive transcranial magnetic stimulation (rTMS), which is a novel technique for brain stimulation and a novel therapeutic tool in psychiatric diseases, has been investigated by Hellmann et al. [ 8].
Magnetic resonance imaging (MRI) is the established standard imaging technique for brain tumours in particular because of its high-resolution multiplanar images, excellent soft tissue contrast and lack of ionising radiation.
Friston, who pioneered techniques for analyzing brain imaging data as well as computational models of how the brain works, took the news that he topped the list with wry humor.
