Decreased interhemispheric coordination in schizophrenia: A resting state fMRI study
Introduction
Interhemispheric interaction is primarily mediated by the brain's commissural system, including the corpus callosum, anterior commissure, posterior commissure, interthalamic adhesions, and cerebellar commissures (Hoptman and Davidson, 1994). Most callosal fibers connect homotopic regions across the two hemispheres (LaMantia and Rakic, 1990). Resting state fMRI (rsfMRI) is a technique that permits assessment of inter- as well as intrahemispheric functional connectivity (FC). The present study uses rsfMRI to assess the integrity of interhemispheric interaction in schizophrenia.
Since the early 1960s, it has been known that humans who have had forebrain commissures sectioned, including the corpus callosum, show disconnection phenomena on divided sensory spatial field tasks (Gazzaniga et al., 1962, Geschwind and Kaplan, 1962, Nebes, 1972). Deficits in sustained attention (Dimond, 1979a, Dimond, 1979b) and other cognitive processes have also been observed in split brain patients. The bulk of studies on laterally presented cognitive tasks in healthy individuals suggest that there is advantage to bihemispheric processing (Banich and Belger, 1990, Belger and Banich, 1992), provided that each hemisphere has competence at the given task. Moreover, interhemispheric interaction may be particularly important in the strategic deployment of attentional resources in response to task demands (Levy and Trevarthen, 1976).
Within sensory regions, Sergent and Bindra (1981) proposed that the left visual hemisphere is biased towards processing of high spatial frequencies, whereas the right hemisphere is more specialized for low spatial frequencies. This distinction has been mapped onto a local/global dimension (Ivry and Robertson, 1998, Robertson and Ivry, 2000). The right hemisphere also appears to be specialized for line orientation (Umilta et al., 1974), line bisection (Bowers and Heilman, 1980, Foxe et al., 2003), and mental rotation (Robertson et al., 1987). Given the advantages for interhemispheric interaction and the dysconnectivity processes implicated in schizophrenia, it would not be surprising if interhemispheric interaction deficits played an important role in the cognitive deficits, psychiatric symptoms, and sensory abnormalities seen in the disorder. Thus, deficits in interhemispheric interaction may contribute to sensory/cognitive impairments in schizophrenia.
The evidence for interhemispheric interaction deficits in schizophrenia predates recent conceptualizations of schizophrenia as a disorder of dysconnectivity (Friston and Frith, 1995, Bullmore et al., 1997, Stephan et al., 2009) and is fairly consistent, despite the fact that it has been underemphasized. Early postmortem studies found increased callosal thickness (Bigelow and Rosenthal, 1972), but more recent postmortem studies (Casanova et al., 1990), and the vast majority of in vivo imaging studies have found reduced callosal thickness or length, and/or altered shape in schizophrenia (Woodruff et al., 1995, Arnone et al., 2008). White matter density abnormalities in the corpus callosum also have been observed (Hulshoff Pol et al., 2004). Moreover, Highley et al. (1999) found reduced fiber density in the anterior commissure in women, but not men, with schizophrenia.
A number of diffusion tensor imaging (DTI) studies have found reduced fractional anisotropy (FA) in the corpus callosum in schizophrenia (Ardekani et al., 2003, Kubicki et al., 2008). It is likely that DTI studies understate the extent of callosal deficits in schizophrenia, in part because they are typically plagued by low image resolution. Many DTI sequences are obtained in the axial plane, which compounds this problem because it maximizes partial volume effects in the callosum. Indeed, in voxelwise studies, Dougherty noted that FA effect sizes are smallest in the corpus callosum (Dougherty et al., 2005), most likely because its thin dorsoventral extent is particularly susceptible to intersubject registration errors and partial volume effects. Nonetheless, recent DTI work has suggested interhemispheric hypoconnectivity in patients with schizophrenia and their relatives (Whitford et al., 2010, Knochel et al., 2012), which in turn predict interhemispheric transfer time (Whitford et al., 2011) and psychotic symptoms (Whitford et al., 2010).
Relatively few behavioral studies have investigated functional interhemispheric interaction in schizophrenia. The Poffenberger (1912) paradigm has long been used to measure interhemispheric dynamics. In this task, simple stimuli are presented either ipsilateral or contralateral to the response hand. The contralateral − ipsilateral difference in reaction time is taken as an estimate of interhemispheric transfer time, and is typically greater than 0. Patients with schizophrenia showed a prolongation of the ipsilateral advantage (Shelton and Knight, 1984), suggesting impaired interhemispheric transfer efficiency. Another early study showed that patients with schizophrenia are impaired on cross-localization tasks on which patients with callosal agenesis are also impaired (Craft et al., 1987). Patients also show deficits consistent with the callosum's role in optimizing processing under computationally complex situations. Under such conditions, healthy individuals show an advantage to processing information presented bilaterally compared to the same amount of information presented initially to one hemisphere alone (Belger and Banich, 1992). This bilateral advantage suggests that it can be more efficient for the two hemispheres to interact than for one hemisphere to perform all of the processing. The bilateral advantage is absent in patients with schizophrenia (Barnett et al., 2007), suggesting a deficit in interhemispheric interaction in schizophrenia.
Psychophysiological measures of interhemispheric functional interaction also have been observed to be abnormal in schizophrenia. For example, in a word task, healthy controls show increased event related potential (ERP) amplitudes to bilateral (and identical) stimulation compared to unilateral stimulation. Patients showed a reduction in this “bilateral redundancy gain” (Mohr et al., 2008). In addition, deficits in electroencephalographic (EEG) measures of interhemispheric alpha band coherence have been found in patients with schizophrenia (Morrison-Stewart et al., 1996) and in individuals at genetic risk for schizophrenia (Winterer et al., 2001). Another longitudinal study found that reduced symptom severity in schizophrenia was associated with higher EEG interhemispheric beta coherence (Higashima et al., 2006), although some studies have found higher interhemispheric coherence in both never-medicated patients with schizophrenia (Wada et al., 1998) and in siblings of patients with schizophrenia (Mann et al., 1997).
Despite the evidence of interhemispheric interaction deficits in schizophrenia, there are no studies examining FC between homotopic brain sites, which are the gray matter regions that are connected by commissural fibers. Here we evaluated interhemispheric resting state FC in patients with schizophrenia. We used a measure, voxel-mirrored homotopic connectivity (VMHC; (Zuo et al., 2010)), in which the time series for each voxel in one hemisphere was correlated with that of its homotopic voxel (i.e., from the other hemisphere). Similar methodologies have shown deficits in interhemispheric functional connectivity in autism (Anderson et al., 2011), showing that the method is sensitive to abnormal interhemispheric FC in psychopathology. Given the extensive evidence of both structural and functional disconnections in schizophrenia, we expected to observe reductions in homotopic connectivity in schizophrenia.
Section snippets
Participants
Participants were 25 healthy controls and 28 patients who met DSM-IV-TR (American Psychiatric Association, 2000) criteria for schizophrenia or schizoaffective disorder (n = 3) after a Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Patient version (SCID-I/P (First et al., 2002)). Controls had no major Axis I disorders as determined with the SCID-I/NP (First et al., 2001). Additional details are reported in Hoptman et al., 2010a, Hoptman et al., 2010b. Patients with head injuries
Group differences
Results are shown in Table 2 and Fig. 1. Patients showed deficits in VMHC in a large spatial extent, primarily between left and right lingual gyri, cuneus, thalamus, and the declive of the cerebellum. No areas showed increased VMHC in patients. We also examined the results excluding patients with schizoaffective disorder, where results were essentially the same as in the larger analysis (see Supplementary Fig. 1).
Interhemispheric interaction can vary with strength and consistency of handedness (
Discussion
The primary finding of this work is that the correlation between homologous brain regions was reduced in patients with schizophrenia and schizoaffective disorder. These reductions encompassed large areas, primarily including occipital regions, and the thalamus, as well as the cerebellum. These findings are consistent with literature reviewed above showing abnormalities in interhemispheric interaction in schizophrenia using a variety of methods including behavioral, psychophysiological, and
Role of funding source
This study is supported by NIH grants R01MH64783 and R21 MH084031 to MJH, R01 MH066374 to PDB, BRAINS R01 MH094639 to MPM, and R37 MH049334 and P50 MH086385 to DJC, and by grants provided by the National Alliance for Research on Schizophrenia and Depression, a gift from Joe Healy, and the endowment provided by Phyllis Green and Randolph Cowen gifts to Francisco Xavier Castellanos. Dr. Xi-Nian Zuo acknowledges support from Startup Foundation for Distinguished Research Professor of Institute for
Contributors
Matthew J. Hoptman designed the study, undertook the statistical analyses, and wrote the manuscript. Xi-Nian Zuo and Michael P. Milham developed the analytic method. Ms. Mauro assisted in the literature review. All authors contributed to and have approved the final manuscript.
Conflict of interest
The authors report the following conflicts of interest: Dr. Daniel C. Javitt does consulting for Sanofi, Solvay, Pfizer, Lundbeck, AstraZeneca, NPS Pharmaceuticals, Takeda, Sepracor, Schering Plough, Cypress Bio, and Merck. He has research support from Pfizer, and he has equity in Glytech, and AASI. He also serves on the advisory board of Pfizer. Matthew J. Hoptman, Pamela D. Butler, Debra D'Angelo, Cristina J. Mauro, Xi-Nian Zuo, and Michael P. Milham have declared no conflicts of interest in
Acknowledgments
We thank Clare Kelly, PhD, for providing the script to compute framewise displacement, and Raj Sangoi (RT) (R) (MR) for his assistance in scanning the participants.
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