Abstract
Back to table of contents Previous article Next article EditorialFull AccessNeural Networks in SchizophreniaJohn G. Csernansky M.D.Will J. Cronenwett M.D.John G. Csernansky M.D.Search for more papers by this authorWill J. Cronenwett M.D.Search for more papers by this authorPublished Online:1 Aug 2008https://doi.org/10.1176/appi.ajp.2008.08050700AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail As methods for high-resolution MRI continue to develop, our understanding of changes in brain structure in patients with psychiatric disorders improves. In patients with schizophrenia, decreases in the gray matter volume of a variety of cortical and subcortical brain regions have been repeatedly observed (1) . Two articles in this issue of the Journal add to this literature and go further by strengthening the hypothesis that schizophrenia involves abnormalities in specific cortical-subcortical networks. Ellison-Wright et al. (2) present a meta-analysis of MRI studies that reveals different patterns of structural changes in first-episode and chronic schizophrenia. Adapting a technique developed to combine data from functional MRI studies (3) , the authors evaluated group differences in specific brain regions in reference to a three-dimensional coordinate system. The result of this adaptation, called anatomical likelihood estimation, adds to a growing literature on probabilistic approaches to neuroanatomical computation (4) . In patients with first-episode schizophrenia, Ellison-Wright et al. found evidence for decreased gray matter volume in the hippocampus, the caudate nucleus, the thalamus (mediodorsal nucleus), the insula, the anterior cingulate gyrus, the inferior frontal gyrus, and the cerebellum. Subcortical changes were similar in patients with chronic schizophrenia, but cortical changes were even more extensive. As Ellison-Wright et al. note, this pattern of abnormality implicates a neural circuit originating with limbic input to the striatum, then the thalamus, and finally to the prefrontal and cingulate cortex ( Figure 1 ). Abnormalities of thalamocortical circuitry have previously been implicated in schizophrenia, particularly in reference to the pathophysiological concept of cognitive dysmetria (5) . Figure 1. Gray Matter Deficits and Thalamocorticostriatal Circuit Dysfunction in Schizophrenia aa The diagram on the left illustrates the circuit pathways. On the right is a diagrammatic representation of thalamocorticostriatal circuits superimposed on regions of gray matter showing signal decrease in both first-episode schizophrenia (yellow) and chronic schizophrenia (red). The thalamus (blue triangle) sends thalamocortical projections to the cortex (blue arrow). Cortical regions project (green arrow) to the caudate (pink circle) and then back to the thalamus (orange arrow). Components of these circuits show anatomical changes in schizophrenia, with the caudate head showing gray matter deficits in first-episode schizophrenia and more widespread cortical changes in chronic schizophrenia. The thalamus shows gray matter deficits in both first-episode and chronic schizophrenia. Also in this issue, Friedman et al. (6) report on their use of diffusion tensor imaging to examine the pattern of white matter changes in patients with first-episode and chronic schizophrenia. Using fractional anisotropy (FA) to assess the integrity of white matter connections (7) , they found evidence in first-episode patients for decreased connectivity only in the inferior longitudinal fasciculus (at the trend level), while chronic patients showed a broader pattern of white matter disturbances ( Figure 2 ). Figure 2. Regions of Fractional Anisotropy (FA) Reductions in Schizophrenia aa Relative to healthy comparison subjects, patients with first-episode schizophrenia showed trend-level FA reductions in the left and right inferior longitudinal fasciculus. Patients with chronic schizophrenia showed significant FA reductions in the right forceps minor and the left inferior longitudinal fasciculus. ILF=inferior longitudinal fasciculus; GCC=genu of corpus callosum; SCC=splenium of corpus callosum. The results of Friedman’s study, to date the largest to directly examine FA in first-episode and chronic schizophrenia patients, suggest a number of intriguing interpretations. As they note, one explanation may be that pathological white matter abnormalities may be present but too subtle to detect with current imaging methods in first-episode schizophrenia. Alternatively, white matter changes may develop as the disease process of schizophrenia progresses.Taken together, the results of these two studies provide strong support for the hypothesis that schizophrenia involves abnormalities in networks of brain regions. They further suggest that such abnormalities may be progressive in at least some patients. If the “progression” hypothesis is confirmed in future studies, we must redouble our efforts at early and effective intervention for this potentially disabling disorder.Address correspondence and reprint requests to Dr. Csernansky, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, 446 E. Ontario, Suite 7-200, Chicago, IL 60611; [email protected] (e-mail). Editorial accepted for publication May 2008 (doi: 10.1176/appi.ajp.2008.08050700).Dr. Csernansky has consulted for Eli Lilly, Sanofi-Aventis, and HoustonPharma. Dr. Freedman has reviewed this editorial and found no evidence of influence from these relationships. Dr. Cronenwett reports no competing interests.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.