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Abstract

OBJECTIVE: The corpus callosum, the largest white matter tract in the brain, is a midline structure associated with the formation of the hippocampus, septum pellucidum, and cingulate cortex, which have been implicated in the pathogenesis of schizophrenia. Corpus callosum shape deformation, therefore, may reflect a midline neurodevelopmental abnormality. METHOD: Corpus callosum area and shape were analyzed in 14 first-episode psychotic patients with schizophrenia, 19 first-episode psychotic patients with affective disorder, and 18 normal comparison subjects. RESULTS: No statistically significant corpus callosum area differences between groups were found, but there were differences in the structure’s shape between the patients with schizophrenia and the comparison subjects. A correlation between width and angle of the corpus callosum was found in patients with affective disorder. CONCLUSIONS: Corpus callosum shape abnormalities in first-episode psychotic patients with schizophrenia may reflect a midline neurodevelopmental abnormality.
The corpus callosum, the largest white matter tract in the brain, is a midline structure whose development is associated with the formation of the hippocampus, septum pellucidum, and cingulate cortex, all of which have been implicated in the pathogenesis of schizophrenia (1). Moreover, the development of cortical-cortical and subcortical-cortical connections determines the pattern of brain growth and shape (2). Deformations in corpus callosum shape, therefore, may reflect a midline neurodevelopmental abnormality. Recent studies by DeQuardo et al. (3) and Downhill et al. (4) found corpus callosum shape alterations in schizophrenia.
We evaluated corpus callosum area and shape in first-episode psychotic patients with schizophrenia, first-episode psychotic patients with affective disorder, and normal comparison subjects. We included psychotic patients with affective disorder to assess the specificity of corpus callosum shape deformations to schizophrenia. For our shape measure we used a two-dimensional skeletonization model employed in the field of computer vision (5).

Method

Subjects were 14 first-episode psychotic inpatients with schizophrenia (11 men, three women), 19 first-episode psychotic inpatients with affective disorder (14 men, five women), and 18 comparison subjects (16 men, two women). The diagnoses of the patients with affective disorder were bipolar disorder, mania (N=12), bipolar disorder, mixed (N=4), and major depression (N=3). Comparison subjects were recruited through newspaper advertisements. Diagnostic information and inclusion and exclusion criteria are detailed elsewhere (6). All subjects provided written informed consent before study participation.
The mean ages of the study subgroups were 28.1 years (SD=7.8) for the schizophrenia group, 25.8 (SD=5.8) for the affective disorder group, and 24.5 (SD=4.5) for the comparison group (F=1.54, df=2, 48, p=0.22). The socioeconomic status of patients with schizophrenia was lower than that of the comparison subjects, in accord with the effects of their illness (F=4.74, df=2, 48, p=0.01). Parental socioeconomic status for the schizophrenia group was lower than that of the comparison group and the affective disorder group (F=5.83, df=2, 48, p=0.005), though all groups ranged between middle and upper class.
Patients were assessed with the Brief Psychiatric Rating Scale (BPRS), the Global Assessment Scale (GAS), and the Mini-Mental Status Examination (MMSE).
Magnetic resonance (MR) images were acquired on a 1.5-T General Electric system (General Electric Medical Systems, Milwaukee) (echo time [TE]=5 msec, repetition time [TR]=35 msec, one repetition, nutation angle=45°, field of view=24 cm, acquisition matrix=256×256×124, with dimensions 0.9375×0.9375×1.5) (for additional details, see Hirayasu et al. [6]).
For MR post-processing image analysis of area, a midsagittal slice was chosen that included the clearest view of the corpus callosum, aqueduct, tectum, septum pellucidum, and falx. The best midsagittal slice and two slices laterally on each side of the midsagittal slice (N=5 slices) were then segmented. Area was computed by summing pixels in each slice for the entire corpus and for four sections (genu, midbody, isthmus, and splenium [7]). Group differences in the best midsagittal slice, the average of five slices, and the subsections were compared by using analysis of variance. Analyses of covariance (ANCOVA) were performed to control for the effects of age and overall head/brain size.
For MR post-processing image analysis of shape, a two-dimensional skeleton of the corpus callosum was extracted by using the same best midsagittal slice and one slice laterally on each side of the midsagittal slice (N=3 slices) (top part of Figure 1). Width and curvature were measured at eight equidistant points. Likelihood of group membership was assessed by using a classification analysis in which we examined each of the two-by-two classifications: normal versus affective disorder, normal versus schizophrenia, and affective disorder versus schizophrenia. We used bootstrap methods to obtain standard errors for the two-by-two classifications statistics. We obtained 100 bootstrap resampling repetitions, yielding chi-square statistics (df=16) with standard error estimates on the basis of the 100 bootstrap repetitions.

Results

No statistically significant differences in area between the groups were found for the best midsagittal slice (F=1.03, df=2, 48, p=0.54), average of five slices (F=1.92, df=2, 48, p=0.18), or subdivisions of the genu (F=0.14, df=2, 48, p=0.72), midbody (F=1.24, df=2, 48, p=0.29), isthmus (F=1.17, df=2, 48, p=0.30), or splenium (F=0.20, df=2, 48, p=0.66). Using ANCOVA to control for the effects of age and size of the intracranial cavity, we found no significant differences in area between groups. As there are gender differences in corpus callosum size (7), we excluded 10 female subjects in one analysis; there were no area differences between the schizophrenia and comparison groups (F=0.26, df=1, 25, p=0.61) or between the affective disorder and comparison groups (F<0.01, df=1, 28, p=0.96). For all groups, there were no statistically significant correlations between area and lateral ventricular volumes, nor between area and MMSE, BPRS, or GAS scores or chlorpromazine equivalents of medication received by the subjects.
For analysis of shape, an angles-and-widths multinomial regression model was used (on the basis of the eight equidistant points used to extract the skeleton image) to obtain the classification data for examining each of three two-by-two classification tables. The three two-by-two contrasts (comparison versus affective disorder, comparison versus schizophrenia, and affective disorder versus schizophrenia) were estimated by bootstrap methods, with chi-square statistics (df=16) defined as the mean chi square among all 100 bootstrap repetitions. The contrast between the comparison and schizophrenia groups was statistically significant (χ2=30.6, df=16, p<0.02). The other contrasts were not statistically significant (comparison versus affective disorder: χ2=19.3, df=16, p=0.25; affective disorder versus schizophrenia: χ2=20.3, df=16, p=0.21). The lower part of Figure 1 shows prototypic corpus callosum shapes for each diagnostic group.
For shape measures, there were no statistically significant correlations of average angle and width with area, lateral ventricular volumes, or scores on the clinical measures (MMSE, BPRS, GAS). In the affective disorder group only, as the width decreased, the angle decreased (r=0.89, df=18, p<0.02), i.e., as the corpus callosum width narrowed, the shape became more curved.

Discussion

Corpus callosum area and shape were evaluated in first-episode psychotic patients with schizophrenia and with affective disorder and normal comparison subjects by using two-dimensional shape analyses. No differences were found in corpus callosum area among the three groups, although differences in shape were observed between the patients with schizophrenia and the comparison subjects. In addition, in the affective disorder group only, as corpus callosum width narrowed, the angle decreased, resulting in a more curved shape. These findings, while intriguing, need to be confirmed in an independent group of study subjects. Moreover, an insult to the developing brain during the time of rapid growth of the corpus callosum may partially account for these findings, although this explanation is speculative.
Figure 1. Process of Skeleton Extraction and Prototypic Shapes of the Corpus Callosum in First-Episode Psychotic Patients With Schizophrenia or Affective Disorder and Normal Comparison Subjectsa
aThe skeleton was derived by calculating the points along the corpus callosum that were equal to the distance from a given point within the structure to the closest point on the outline of the corpus callosum (e.g., distances r1 and r2 in the top part of the figure). Specifically, a disk, in blue in the figure (e.g., A1 and A2) is placed inside the segmented corpus callosum and expanded until it touches the outline of the corpus callosum on opposite points of the outline. The center of this expanded disk thus defines a point that, combined with the other points defined in the same way, becomes a skeleton, or curve, that defines the shape in two dimensions. Skeletons were extracted from the best midsagittal slice and from one slice laterally on each side of the midsagittal slice to increase reliability in shape description. In the lower part of the figure, the prototypic shapes of the corpus callosum in the three diagnostic groups show the greatest difference between groups on the basis of angle and width measurements at the eight sampled points.

Footnote

Received Sept. 19, 2000; revisions received May 16 and Oct. 15, 2001; accepted Oct. 17, 2001. From the Clinical Neuroscience Division, Laboratory of Neuroscience, Consolidated Department of Psychiatry, Harvard Medical School and VA Boston Healthcare System—Brockton Division; Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Mass.; Surgical Planning Laboratory, MRI Division, Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, Boston; Cognitive Neuroscience Laboratory and Biostatistics Laboratory, McLean Hospital, Belmont, Mass. Address reprint requests to Dr. Shenton or Dr. McCarley, Department of Psychiatry–116A, VA Boston Healthcare System—Brockton Division, 940 Belmont St., Brockton, MA 02301; [email protected]; [email protected] (e-mail). Supported by an Ethel Dupont-Warren Fellowship Award; a VA Psychiatry/Neuroscience Research Fellowship Award; the Stanley Scholars Mentor Program for Student Fellowships; NIH grants R01-RR-11747 and P41-RR-1321; NIMH grants MH-50740, MH-01110, and MH-40799; the VA Center for Clinical and Basic Neuroscience Studies of Schizophrenia; VA Merit Awards; a Young Investigator Award from the National Alliance for Research on Schizophrenia and Depression; National Science Foundation grant IIS9610249; and Mitsubishi Electric Research Laboratories. The authors thank Chris Dodd, Alaka Pellock, and Marie Fairbanks for assistance with the study.

References

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DeQuardo JR, Keshavan MS, Bookstein FL, Bagwell WW, Green WD, Sweeney JA, Haas GL, Tandon R, Schooler NR, Pettegrew JW: Landmark-based morphometric analysis of first-episode schizophrenia. Biol Psychiatry 1999; 45:1321-1328
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Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 866 - 868
PubMed: 11986146

History

Published online: 1 May 2002
Published in print: May 2002

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Yoshio Hirayasu, M.D., Ph.D.
Dean F. Salisbury, Ph.D.
Chandlee C. Dickey, M.D.
Ferenc A. Jolesz, M.D.
W. Eric L. Grimson, Ph.D.
Robert W. McCarley, M.D.
Martha E. Shenton, Ph.D.

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