Prog Neuropsychopharmacol Biol Psychiatry
December 2006
Disconnection in the frontal-thalamic-cerebellar circuit is thought to be associated with cognitive abnormality in patients with schizophrenia. The superior cerebellar peduncle is involved in neural connectivity in the circuit. Because diffusion tensor imaging (DTI) can detect neural disconnection, we investigated whether there was neural disruption in the superior cerebellar peduncle in patients with schizophrenia.
View Article and Find Full Text PDFTo examine volumetric abnormality, the caudate nucleus was measured in patients with schizophrenia and healthy subjects using magnetic resonance imaging. The absolute and relative volumes of white matter in the caudate nucleus were found to be significantly smaller in patients with schizophrenia compared to those in healthy subjects. There were significant correlations between dosages of neuroleptics during the previous year and absolute gray matter volumes of the caudate nucleus as well as relative white matter volumes in patients with schizophrenia.
View Article and Find Full Text PDFDiffusion tensor imaging (DTI) was used to investigate subtle disruption in the middle cerebellar peduncles in patients with schizophrenia. Fractional anisotropy (FA) was measured in 25 patients with schizophrenia and 21 healthy subjects using DTI. The FA of the right and left middle cerebellar peduncles was significantly lower in the schizophrenic patients compared to healthy subjects.
View Article and Find Full Text PDFTo establish an early diagnosis of Alzheimer's disease (AD), we evaluated brain spatial dynamics and cognitive function in mild AD. Seventeen patients with the diagnosis of mild AD and 17 age-matched controls were examined for Omega (global complexity), Sigma (total power) and Phi (generalized frequency) by 19-channel electroencephalography (EEG). As a result, the mild AD group showed significantly higher Omega values than the control group.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
December 2003
Grey matter, white matter and cerebrospinal volume in the human brain were measured using magnetic resonance image analysis software BRAINS. Ten volunteers were scanned in the MR sequence (3D-SPGR; 1.5-mm slice thickness and T2 images; 3mm slice thickness).
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