Maldistribution of Interstitial Neurons in Prefrontal White Matter of the Brains of Schizophrenic Patients

1996 ◽  
Vol 53 (5) ◽  
pp. 425 ◽  
Author(s):  
Schahram Akbarian
2003 ◽  
Vol 160 (1) ◽  
pp. 149-155 ◽  
Author(s):  
Lise Rioux ◽  
Jonathan Nissanov ◽  
Katherine Lauber ◽  
Warren B. Bilker ◽  
Steven E. Arnold

2001 ◽  
Vol 158 (2) ◽  
pp. 234-243 ◽  
Author(s):  
Thordur Sigmundsson ◽  
John Suckling ◽  
Michael Maier ◽  
Steven C.R. Williams ◽  
Edward T. Bullmore ◽  
...  

1990 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
I Harvey ◽  
M Ron ◽  
S Lewis ◽  
R Murray ◽  
D Wicks ◽  
...  

1998 ◽  
Vol 55 (12) ◽  
pp. 1084 ◽  
Author(s):  
Tyrone D. Cannon ◽  
Theo G. M. van Erp ◽  
Matti Huttunen ◽  
Jouko Lönnqvist ◽  
Oili Salonen ◽  
...  

1989 ◽  
Vol 19 (2) ◽  
pp. 337-342 ◽  
Author(s):  
Alessandro Rossi ◽  
Paolo Stratta ◽  
Luigi D'Albenzio ◽  
Vittorio Di Michele ◽  
Antonio Serio ◽  
...  

SynopsisTwenty-seven chronic schizophrenics and nineteen controls, all male, were evaluated by computed tomography (CT) scans. Lateral, third and fourth ventricles and cerebral density numbers were measured. In the schizophrenic patients there was a significant increase in third ventricle width. Ventricular Brain Ratio (VBR) and there were significantly higher densities of white matter in the right frontal and parietal region.


2013 ◽  
Vol 32 (3) ◽  
pp. 145
Author(s):  
Amani Abdelrazag Elfaki ◽  
Abdelrazag Elfaki ◽  
Tahir Osman ◽  
Bunyamin Sahin ◽  
Abdelgani Elsheikh ◽  
...  

Advances in neuroimaging have enabled studies of specific neuroanatomical abnormalities with relevance to schizophrenia. This study quantified structural alterations on brain magnetic resonance (MR) images of patients with schizophrenia. MR brain imaging was done on 88 control and 57 schizophrenic subjects and Dicom images were analyzed with ImageJ software. The brain volume was estimated with the planimetric stereological technique. The volume fraction of brain structures was also estimated. The results showed that, the mean volume of right, left, and total hemispheres in controls were 551, 550, and 1101 cm³, respectively. The mean volumes of right, left, and total hemispheres in schizophrenics were 513, 512, and 1026 cm³, respectively. The schizophrenics’ brains were smaller than the controls (p < 0.05). The mean volume of total white matter of controls (516 cm³) was bigger than the schizophrenics’ volume (451 cm³), (p < 0.05). The volume fraction of total white matter was also lower in schizophrenics (p < 0.05). Volume fraction of the lateral ventricles was higher in schizophrenics (p < 0.05). According to the findings, the volumes of schizophrenics’ brain were smaller than the controls and the volume fractional changes in schizophrenics showed sex dependent differences. We conclude that stereological analysis of MR brain images is useful for quantifying schizophrenia related structural changes.


2019 ◽  
Vol 235 (3) ◽  
pp. 626-636 ◽  
Author(s):  
Goran Sedmak ◽  
Miloš Judaš

2020 ◽  
Vol 38 ◽  
pp. 65-73
Author(s):  
Heba Hamed ElShahawi ◽  
Hossam Moussa Sakr ◽  
Mostafa Ahmad Hashim ◽  
Hadeer Hassan Mohamed ◽  
Mai SeifElDin Abdeen

Cells ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 190
Author(s):  
Goran Sedmak ◽  
Miloš Judaš

White matter interstitial neurons (WMIN) are a subset of cortical neurons located in the subcortical white matter. Although they were fist described over 150 years ago, they are still largely unexplored and often considered a small, functionally insignificant neuronal population. WMIN are adult remnants of neurons located in the transient fetal subplate zone (SP). Following development, some of the SP neurons undergo apoptosis, and the remaining neurons are incorporated in the adult white matter as WMIN. In the adult human brain, WMIN are quite a large population of neurons comprising at least 3% of all cortical neurons (between 600 and 1100 million neurons). They include many of the morphological neuronal types that can be found in the overlying cerebral cortex. Furthermore, the phenotypic and molecular diversity of WMIN is similar to that of the overlying cortical neurons, expressing many glutamatergic and GABAergic biomarkers. WMIN are often considered a functionally unimportant subset of neurons. However, upon closer inspection of the scientific literature, it has been shown that WMIN are integrated in the cortical circuitry and that they exhibit diverse electrophysiological properties, send and receive axons from the cortex, and have active synaptic contacts. Based on these data, we are able to enumerate some of the potential WMIN roles, such as the control of the cerebral blood flow, sleep regulation, and the control of information flow through the cerebral cortex. Also, there is a number of studies indicating the involvement of WMIN in the pathophysiology of many brain disorders such as epilepsy, schizophrenia, Alzheimer’s disease, etc. All of these data indicate that WMIN are a large population with an important function in the adult brain. Further investigation of WMIN could provide us with novel data crucial for an improved elucidation of the pathophysiology of many brain disorders. In this review, we provide an overview of the current WMIN literature, with an emphasis on studies conducted on the human brain.


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