[Comparison of regional cerebral blood flow in deficit and nondeficit schizophrenic patients]
Related Experiment Video
Updated: Aug 29, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
Yakup Yürekli1, Zeynep Bodur, Leyla Gülseren
1Adnan Mendares U Tip Fak., Nüleer Tip AD, Aydin.
Objective:
Brain imaging techniques are commonly used to define changes in the structure and functions of the brain in schizophrenic patients. The relationships between brain images and the cluster of symptoms provide us with more information about heterogeneous forms of schizophrenia. The aim of this study is to compare the regional blood flow of deficit and nondeficit syndrome schizophrenic patients.
Method:
Forty schizophrenic patients under the age of 65, without physical or neurological illness, mental retardation, a history of substance abuse, or ECT over the previous six months were included in the study. The Scale for the Assessment of Positive Symptoms, Scale for the Assessment of Negative Symptoms, UKU Side Effect Rating Scale, Hamilton Rating Scale for Depression and The Schedule for the Deficit Syndrome (SDS) were used to evaluate the patients. The regional cerebral blood flow was measured semiquantitatively by SPECT imaging using radiopharmaceutical Tc 99m-HMPAO.
Results:
There was a significant reduction in the regional blood flow of deficit syndrome patients compared to nondeficit ones in the left frontal cortex (p= 0.002), right frontal cortex (p= 0.006) and right temporal cortex (p= 0.04).
Conclusion:
We suggest that dysfunctions in some neuroanatomic structures are related to deficit syndrome and the concept of deficit syndrome is important for understanding underlying pathophysiologic mechanisms.
More Related Videos
05:23Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling
Published on: May 31, 2024
05:14Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
Published on: September 8, 2021