CSF sub-compartments in relation to plasma osmolality in healthy controls and in patients with first episode schizophrenia

Gunduz‐Bruce, Handan; Narr, Katherine L.; Gueorguieva, Ralitza; Toga, Arthur W.; Szeszko, Philip R.; Ashtari, Manzar; Robinson, Delbert G.; Sevy, Serge; Kane, John M.; Bilder, Robert M.

doi:10.1016/j.pscychresns.2006.12.006

Cited by 4 publications

(5 citation statements)

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“…The study by Grant et al [39] showed that CSF volume increased in women with a normal menstrual cycle and not taking oral contraceptives. Other factors such as plasma sodium concentration or osmolality that affect water retention in the brain may also regulate CSF volume [7]. …”

Section: Discussionmentioning

confidence: 99%

“…In particular, the lateral ventricles (LV), owing to the relative ease of their identification and segmentation using manual and automatic methods utilizing magnetic resonance imaging (MRI) contrast, have been shown to increase in volume with age in healthy adults [3, 4, 5]. Ventricular volume enlargement has been used as a surrogate marker in a host of pathologies [6, 7, 8]. CSF chemical and metabolic contents serve as robust biomarkers of neural degeneration [9, 10].…”

Section: Introductionmentioning

confidence: 99%

“…Several computational methods have been described to segment, and validate brain parenchyma and CSF volumetry [7, 8]. A recent work by Kempton et al [8] presented a framework for testing LV segmentation from high resolution T1-weighted data using manual and three automated methods that included FreeSurfer (http://surfer.nmr.mgh.harvard.edu/fswiki), FSL-FIRST (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST) and SPM-ALVIN (https://sites.google.com/site/mrilateralventricle/).…”

Section: Introductionmentioning

confidence: 99%

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DTI-based segmentation and quantification of human brain lateral ventricular CSF volumetry and mean diffusivity: Validation, age, gender effects and biophysical implications

Hasan

Moeller

Narayana

2014

Magnetic Resonance Imaging

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The human brain lateral ventricular (LV) cerebrospinal fluid (CSF) volume has been used as a neuroimaging marker of brain changes in health and disease. The LV CSF diffusivity may offer a useful quality assurance measure and become a potential noninvasive marker of deep brain temperature. In this work we sought to validate a method for human brain lateral ventricular (LV) cerebrospinal fluid (CSF) using diffusion tensor imaging (DTI) contrast to provide LV volume and corresponding DTI metrics. We compared LV volume obtained using DTI with that obtained using validated segmentations of the LV on T1-weighted data. DTI and T1-weighted data were acquired at 3 T on 49 healthy males and 56 age-matched females aged 18-59 years. We showed histogram distributions of LV DTI metrics to establish quality assurance measures. We also analyzed the age and gender effects of LV volume and diffusivity. LV volumes estimated using both T1-weighted and DTI correlated strongly in males and females (ICC=0.99; median Dice index ~80%). The LV-to-intracranial volume percentage increased significantly with age only in males, using the DTI-based approach (r=0.39; p=0.005). LV CSF Mean diffusivity was greater in males than females ((~1.2%; p=0.03). Mean diffusivity of lateral ventricular CSF decreased significantly with age in healthy adults (r=−0.30; p=0.02). Our results highlight the importance of age and gender-based analyses and the potential of LV diffusivity measures as a quantitative marker.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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DTI-based segmentation and quantification of human brain lateral ventricular CSF volumetry and mean diffusivity: Validation, age, gender effects and biophysical implications

Hasan

Moeller

Narayana

2014

Magnetic Resonance Imaging

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“…Morphological measurement using relatively-simple metrics such as the VBR is likely to be considered outmoded given the emergence of 3D surface and shape modeling approaches (Narr, Thompson et al 2001; Narr, Thompson et al 2001; Narr, Sharma et al 2003; Anticevic, Dierker et al 2008). For instance, in a study of plasma Na(+) level/osmolality in first-episode schizophrenics, Gunduz-Bruce and colleagues (2007) fit 3D surface mesh models to the ventricular system and noted no general differences between the patient and healthy control groups in ventricular size. However, a mixed model procedure indicated a significant group effect and a significant osmolality-by-group interaction in measures made on the ventricular surfaces.…”

Section: Discussionmentioning

confidence: 99%

Study factors influencing ventricular enlargement in schizophrenia: A 20year follow-up meta-analysis

2012

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A meta-analysis was performed on studies employing the ventricular-brain ratio to compare schizophrenic subjects to that of normal controls. This was a follow-up to a similar meta-analysis published in 1992 in which study-, in addition to clinical-, factors were found to contribute significantly to the reported difference between patients with schizophrenia and controls. Seventy-two (N=72) total studies were identified from the peer reviewed literature, 39 from the original meta-analysis, and 33 additional studies published since which met strict criteria for inclusion and analysis– thus representing ~30 years of schizophrenia ventricular enlargement research. Sample characteristics from schizophrenics and controls were coded for use as predictor variables against within sample VBR values as well as for between sample VBR differences. Additionally, a number of factors concerning how the studies were conducted and reported were also coded. Obtained data was subjected to unweighted univariate as well as multiple regression analyses. In particular, results indicated significant differences between schizophrenics and controls in ventricular size but also the influence of the diagnostic criteria used to define schizophrenia on the magnitude of the reported VBR. This suggests that differing factors of the diagnostic criteria may be sensitive to ventricular enlargement and might be worthy of further examination. Interestingly, we observed an inverse relationship between VBR difference and the number of co-authors on the study. This latter finding suggests that larger research groups report smaller VBR differences and may be more conservative or exacting in their research methodology. The diagnostic criteria used for defining schizophrenia were also predictive of between group differences. Analyses weighted by sample size provided identical conclusions. The effects of study factors such as these are helpful for understanding the variation in the size of the reported differences in VBR between patients and controls as well as for understanding the evolution of research on complex clinical syndromes employing neuroimaging morphometrics.

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“…Higher functioning patients may be more social and more exposed to opportunities for substance abuse (Arndt, et al, 1992) or more active in trying to cope with some of their symptoms by using substances (Ritzler, et al, 1977). Regarding cognition, earlier age at onset of psychosis has been associated with worse IQ (Woodberry, et al, 2008), attention (Frangou, et al, 2008, Oie and Hugdahl, 2008, Thaden, et al, 2006), executive function (Gunduz-Bruce, et al, 2007, Jeste, et al, 1998, Tuulio-Henriksson, et al, 2004), psychomotor speed of processing (Hoff, et al, 1996, Tuulio-Henriksson, et al, 2004, White, et al, 2006) and verbal learning and memory (Basso, et al, 1997, Tuulio-Henriksson, et al, 2004). Finally, motor abnormalities have been reported in drug-free first-episode schizophrenia (Honer, et al, 2005, Pappa and Dazzan, 2009, Peralta, et al).…”

Section: Introductionmentioning

confidence: 99%

Are cannabis use disorders associated with an earlier age at onset of psychosis? A study in first episode schizophrenia

Sevy

Robinson

Napolitano

et al. 2010

Schizophrenia Research

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Introduction-The purpose of this study is to determine if an earlier age at onset of positive symptoms in schizophrenia is associated with cannabis use disorders (CUD).Methods-49 first-episode schizophrenia subjects with CUD were compared to 51 first-episode schizophrenia subjects with no substance use disorders for demographic and clinical variables. A multivariate logistic regression was performed to determine the joint relationship between variables significantly associated with CUD on univariate testing and ascertain if these variables independently predict CUD. Significance level was set at p<0.05.Results-74% of CUD subjects had the onset of CUD before the onset of positive symptoms. Compared to non-substance abusing subjects, CUD subjects were predominantly male, younger at study entry, had an earlier age at onset of positive symptoms, less educational attainment, a lower own socioeconomic status, better premorbid childhood social adjustment, a trend for poorer premorbid childhood academic adjustment, less motor abnormalities but more severe hallucinations and delusions. In the multivariate analysis, only male gender, worse socioeconomic status, better premorbid childhood social adjustment, and more severe positive symptoms at study entry were associated with a lifetime history of CUD.Discussion-although cannabis use precedes the onset of illness in most patients, there was no significant association between onset of illness and CUD that was not accounted by demographic and clinical variables. Previous studies implicating CUD in the onset of schizophrenia may need to more comprehensively assess the relationship between CUD and schizophrenia, and take into account additional variables that we found associated with CUD.

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CSF sub-compartments in relation to plasma osmolality in healthy controls and in patients with first episode schizophrenia

Cited by 4 publications

References 41 publications

DTI-based segmentation and quantification of human brain lateral ventricular CSF volumetry and mean diffusivity: Validation, age, gender effects and biophysical implications

DTI-based segmentation and quantification of human brain lateral ventricular CSF volumetry and mean diffusivity: Validation, age, gender effects and biophysical implications

Study factors influencing ventricular enlargement in schizophrenia: A 20year follow-up meta-analysis

Are cannabis use disorders associated with an earlier age at onset of psychosis? A study in first episode schizophrenia

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