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Open Access

Peer-reviewed

Research Article

Diffusion Tensor MR Imaging Evaluation of Callosal Abnormalities in Schizophrenia: A Meta-Analysis

  • Chuanjun Zhuo ,

    chuanjunzhuotjmh@163.com (CJZ); tangjinsonghn@gmail.com (JST)

    Affiliation Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Centre, Tianjin Anding Hospital, Tianjin, China

    ⨯
  • Mei Liu,

    Affiliation Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Centre, Tianjin Anding Hospital, Tianjin, China

    ⨯
  • Lina Wang,

    Affiliation Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Centre, Tianjin Anding Hospital, Tianjin, China

    ⨯
  • Hongjun Tian,

    Affiliation Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Centre, Tianjin Anding Hospital, Tianjin, China

    ⨯
  • Jinsong Tang

    chuanjunzhuotjmh@163.com (CJZ); tangjinsonghn@gmail.com (JST)

    Affiliations Institute of Mental Health, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China, Key Laboratory of Psychiatry and Mental Health of Hunan Province, The National Clinical Research Center for Psychiatric and Psychological Diseases, Changsha, Hunan, China

    ⨯

Abstract

Widespread white matter (WM) abnormalities have been found in patients with schizophrenia. Corpus callosum (CC) is the key area that connects the left and right brain hemispheres. However, the results of studies considering different subregions of the CC as regions of interest in patients with schizophrenia have been inconsistent. To obtain a more consistent evaluation of the diffusion characteristics change of the corpus callosum (CC) related to schizophrenia. A meta-analysis involving fractional anisotropy (FA) values in the CC of 729 schizophrenic subjects and 682 healthy controls from 22 studies was conducted. Overall FA values in the CC of the schizophrenic group were less than that of the healthy control group [weighted mean difference (WMD) = -0.021,P< 0.001]. So were the FA values in the genus region (WMD = -0.019, P< 0.001) and the splenium region (WMD = -0.020, P< 0.001) of the CC respectively. The FA reduction was also significant in subjects with chronic schizophrenia (WMD = -0.032, P< 0.001) and first-episode schizophrenia (WMD = -0.014, P = 0.001). In present study, we demonstrated an overall FA decrease in the CC of schizophrenic patients. In the two subgroup analyses of the genu vs splenium region and chronic vs first-episode schizophrenia, the decrease of all groups was significant. Further studies with more homogenous populations and standardized DTI protocols are needed to confirm and extend these findings.

Citation: Zhuo C, Liu M, Wang L, Tian H, Tang J (2016) Diffusion Tensor MR Imaging Evaluation of Callosal Abnormalities in Schizophrenia: A Meta-Analysis. PLoS ONE 11(8): e0161406. https://doi.org/10.1371/journal.pone.0161406

Editor: Therese van Amelsvoort, Maastricht University, NETHERLANDS

Received: May 12, 2016; Accepted: August 4, 2016; Published: August 18, 2016

Copyright: © 2016 Zhuo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: This work was supported by grants from China Postdoctoral Science Foundation (2012M520585). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

More than two hundred million people around the world are suffering from schizophrenia. Schizophrenia is an incapacitating psychiatric disorder characterized by disturbances in perception, cognition, and emotion, as well as an altered sense of self and abnormal behavior patterns. People with schizophrenia experience delusions and auditory hallucinations [1]. The risk of early mortality among schizophrenic patients is more than double that of the general population. It is attributed to a variety of conditions, including sequelae of pathogen infections, cardiovascular diseases and metabolic disorders (http://www.who.int/).

Physiologically, schizophrenia is associated with an impaired white matter (WM) connectivity[1]. It has been suggested that some of the symptoms of schizophrenia may be due to observed abnormalities of the corpus callosum (CC)[2], a massive bundle of WM tracts that mediates the cross-talk between the cerebral hemispheres. Indeed, patients with schizophrenia have been found to have a smaller CC than healthy subjects[3].

Diffusion tensor imaging (DTI) provides a convenient way of studying brains of schizophrenic patients and healthy controls. DTI is a non-invasive magnetic resonance (MR) method of assessing water diffusion tendencies in WM structures[4]. The diffusivity isrelated to boundaries created by neural tracts and myelin sheaths and thus can be used as a marker for WM tract integrity[5].Many properties can be calculated from the data obtained by DTI, such as mean diffusivity (MD), apparent diffusion coefficient(ADC),Fractional Anisotropy (FA) and the axial/radial diffusivity[6].

The findings of a recent meta-analysis of DTI studies suggested that schizophrenia may involve an abnormality of the splenium region of the CC in particular and thus perhaps altered posterior interhemispheric connectivity[7].Widespread WM abnormalities have been found in patients with first-episode or chronic schizophrenia[1, 8–12].

In this study, we conducted a meta-analysis of WM diffusion alterations in the CC of schizophrenic patients, both chronic and first-episode cohorts, compared with observations in healthy control subjects. Fractional anisotropy (FA) values of collated studies were submitted to statistical analysis.

Materials and Methods

The protocol for this meta-analysis supporting checklist and flow diagram are available as supporting information (S1 File, S1 Checklist)

Data sources and searches

We performed a comprehensive search on electronic database including PubMed, Embase and Cochrane for relevant studies published from the earliest indexing year to June 15th, 2016. Document type was restricted to article and publication language was restricted to English.

In order not to miss out papers that did not mention the CC in the title or abstract but covered analysis as part of the white matter or the whole brain in the full text, we extended our search to include white matter and brain. Eventually, the key words used to define relevant articles included: diffusion tensor imaging, schizophrenia, corpus callosum, white matter and brain. Besides the subject terms, some other related free terms were also used. See S2 File for detailed search strategy.

Study inclusion criteria

Studies were evaluated for inclusion and the criteria were the followings: (1) subjects with schizophrenia were compared to unrelated healthy controls; (2) the diagnostic criteria for schizophrenia were clearly stated; (3) they obtained DTI data with a 1.5-T or 3.0-T scanner (sufficient power to meet advanced technical standards for clinical brain imaging); (4) at least a single FA value in the whole CC and/or the genu or splenium of the CC was reported.

Data extraction

From all eligible studies, we extracted four types of data: study characteristics (study name, author, publication year, numbers of patients and controls), technical parameters of DTI (field strength, b values, directions, slices, slice thickness, data analysis methods), moderator variables (schizophrenia type, age, gender, handedness, medication use, duration of illness) and dependent variables (FA means, FA standard deviations).

Statistical analysis

Meta-analyses of continuous outcomes (FA values) were performed with weighted mean differences (WMDs)in Stata software (Version 14.0 Stata Inc., College Station, TX). The DerSimonian and Laird random-effects model was employed with a 95% confidence interval (CI) to account for measurement variability among the included studies. We pooled and compared FA data from schizophrenic subjects versus from healthy controls. Additionally, we pooled and statistically compared FA data of genu region with splenium region and data of first-episode schizophrenia subjects with chronic schizophrenia subjects. The random-effects model was used, and inconsistency was evaluated by the I-squared index. The resultant data are presented in forest plots. Publication bias was assessed by Egger’s method. For all comparisons, P values < 0.05 was considered the criterion of statistical significance.

Results

Included studies and characteristics

Our search of the three databases identified 678 citations after excluding duplicates with computer assistance and manually. We scanned the title and abstract or the full text of articles and excluded 610 papers obviously unrelated to our purpose. We examined the remaining 68 articles carefully and 22[13–34]meeting our criteria were included in this meta-analysis finally (Fig 1).

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Fig 1. Screening and selection process for articles.

https://doi.org/10.1371/journal.pone.0161406.g001

The study group characteristics are summarized in Table 1. The meta-analysis included a total of 729 schizophrenia subjects [FA values from 1229 volumes of interest (VOIs)] and 682 healthy controls (1314 VOIs) from 22 studies (42 datasets). In general, the number of male subjects is larger than that of female subjects. Most of the subjects are right handed. The medication use of Schizophrenic patients is different among the studies. Most of the studies include patients with medications and some focus on drug-naive patients.

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Table 1. Study characteristics of included articles.

https://doi.org/10.1371/journal.pone.0161406.t001

The imaging parameters of the included studies are summarized in Table 2. Briefly, a 3-T MRI scanner was used in 12 of the included studies and a 1.5-T MRI scanner was used in 10 of the studies. A maximum b factor of 1000 s/mm2was most common. The DTI directions varied considerably, ranging from 6to 64. Scan thicknesses were mostly in the range of 2.5–5 mm.

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Table 2. Summary of imaging parameters.

https://doi.org/10.1371/journal.pone.0161406.t002

Overall

See S3 File for detailed FA data extracted from all included studies. The overall analysis revealed lower FA values for WM in the CC of subjects with schizophrenia than of unrelated healthy controls (WMD = -0.020, 95%CI = -0.025–-0.016, Z = 8.55, P< 0.001,I2 = 88.0%) and the details was presented in Fig 2. The result of Egger’s test (Fig 3) indicated that there was no publication bias (t = 0.6, P = 0.55).

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Fig 2. Results of the overall analysis.

https://doi.org/10.1371/journal.pone.0161406.g002

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Fig 3. Results of publication bias analysis.

Bias was analyzed with Egger’s method. t = 0.6, P = 0.55.

https://doi.org/10.1371/journal.pone.0161406.g003

Genu vs splenium

Likewise, subgroup analyses revealed lower FA values in boththe genu (19 comparisons; WMD = -0.019, 95%CI = -0.028–0.010, Z = 4.19, P < 0.001, I2 = 92.3%) and splenium (17 comparisons; WMD = -0.020, 95%CI = -0.026–0.014, Z = 6.16, P< 0.001, I2 = 77.6%) regions of the CC of schizophrenic subjects (Fig 4).

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Fig 4. Results of subgroup analysis of different parts of the CC.

https://doi.org/10.1371/journal.pone.0161406.g004

First-episode vs chronic

Subgroup analyses of only first-episode schizophrenic patients (16 comparisons;WMD = -0.014, 95%CI = -0.022–-0.006, Z = 3.00, P = 0.001, I2 = 60.3%) and only chronic schizophrenic patients (11 comparisons; WMD = -0.032, 95%CI = -0.045–-0.019, Z = 4.91, P < 0.001, I2 = 76.7%) revealed that both subgroups had lower FA values in the CC than unrelated healthy controls (Fig 5).

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Fig 5. Results of subgroup analysis of different types of schizophrenia.

https://doi.org/10.1371/journal.pone.0161406.g005

Discussion

The present study demonstrated reduced FA values in the CC of both first-episode and chronic schizophrenia patients, relative to healthy controls.

Our findings are consistent with previous studies showing FA abnormalities in the entire CC of schizophrenic patients[19, 35]. However, the results of studies considering different subregions of the CC as regions of interest have been inconsistent[36]. Nevertheless, findings of WM changes in schizophrenic patients are consistent with other prior findings of schizophrenia-associated loss of WM integrity in principle. Notably, Kunimatsu and colleagues have described reduced expression of genes related to myelin/oligodendrocyte function, oligodendrocyte hypodensity and lamellar abnormalities of myelin as well as abnormal distribution patterns of interstitial neurons in schizophrenic brains[25].

Although schizophrenia presents in late adolescence to early adulthood, it has been theorized to have an extended neurodevelopmental etiology, with brain pathophysiological processes beginning long before the overt manifestation of clinical symptoms[37].Schizophrenia-associated differences in FA values may have embryonic, structural and functional causes. The genu region is formed by axons projecting from the cingulate cortex under the guidance of glia cells, whereas the splenium region develops under the guidance of axons passing from the hippocampal commissure without glial guidance[38].

This meta-analysis study had several limitations that should be acknowledged. Firstly, the study samples were not homogenous. The considerable heterogeneity across the compared datasets may be due to differential patient selection procedures across the included studies. The analyses were further complicated by the fact that imaging methods varied across the analyzed studies. A standardization of the acquisition protocol for DTI in schizophrenia studies would be helpful for alleviating this complication. Secondly, although DTI-derived radial and axial diffusivity are also informative regarding WM integrity, few articles report these data. Consequently, to enable statistical analysis, we focused only on FA data for the CC.

In conclusion, the present DTI findings provide a clear demonstration of a significant overall FA decrease in the WM of the CC in schizophrenic patients. Anatomically, the reduction appeared to be significant in both the genu region and the splenium region. Furthermore, the FA difference of the CC as a whole was pronounced in both chronic schizophrenia patients and those experiencing their first bout with schizophrenia. Further studies with more homogenous populations and standardized DTI protocols are needed to confirm and extend these findings.

Supporting Information

S1 File. PRISMA 2009 Flow Diagram.

https://doi.org/10.1371/journal.pone.0161406.s001

(DOC)

S2 File. Detailed search strategy.

The file only contains the search strategy and results of PubMed and Embase.

https://doi.org/10.1371/journal.pone.0161406.s002

(DOCX)

S3 File. Detailed FA data from included studies.

https://doi.org/10.1371/journal.pone.0161406.s003

(XLSX)

S1 Checklist. PRISMA 2009 Checklist.

https://doi.org/10.1371/journal.pone.0161406.s004

(DOC)

Author Contributions

  1. Conceptualization: CJZ.
  2. Data curation: ML LNW HJT.
  3. Formal analysis: ML LNW HJT.
  4. Funding acquisition: CJZ.
  5. Investigation: ML LNW HJT.
  6. Methodology: CJZ.
  7. Project administration: CJZ.
  8. Resources: CJZ JST.
  9. Software: ML LNW HJT.
  10. Supervision: CJZ JST.
  11. Validation: CJZ JST.
  12. Visualization: ML LNW HJT.
  13. Writing - original draft: CJZ.
  14. Writing - review & editing: CJZ.

References

  1. 1. Wu CH, Hwang TJ, Chen YJ, Hsu YC, Lo YC, Liu CM, et al. Primary and secondary alterations of white matter connectivity in schizophrenia: A study on first-episode and chronic patients using whole-brain tractography-based analysis. Schizophrenia research. 2015;169(1–3):54–61. pmid:26443482
  2. 2. Sivagnanasundaram S, Crossett B, Dedova I, Cordwell S, Matsumoto I. Abnormal pathways in the genu of the corpus callosum in schizophrenia pathogenesis: a proteome study. Proteomics Clinical applications. 2007;1(10):1291–305. pmid:21136626
  3. 3. Arnone D, McIntosh AM, Tan GM, Ebmeier KP. Meta-analysis of magnetic resonance imaging studies of the corpus callosum in schizophrenia. Schizophrenia research. 2008;101(1–3):124–32. pmid:18289833
  4. 4. Viswanath H, Velasquez KM, Thompson-Lake DGY, Savjani R, Carter AQ, Eagleman D, et al. Alterations in interhemispheric functional and anatomical connectivity are associated with tobacco smoking in humans. 2015;9(MAR). pmid:25805986
  5. 5. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage. 2006;31(4):1487–505. pmid:16624579
  6. 6. Soares JM, Marques P, Alves V, Sousa N. A hitchhiker's guide to diffusion tensor imaging. Frontiers in Neuroscience. 2013(7 MAR).
  7. 7. Patel S, Mahon K, Wellington R, Zhang J, Chaplin W, Szeszko PR. A meta-analysis of diffusion tensor imaging studies of the corpus callosum in schizophrenia. Schizophrenia research. 2011;129(2–3):149–55. pmid:21530178
  8. 8. Hwang EJ, Lee JM, Yoon JH, Kim JH, Han JK, Choi BI, et al. Intravoxel Incoherent Motion Diffusion-Weighted Imaging of Pancreatic Neuroendocrine Tumors: Prediction of the Histologic Grade Using Pure Diffusion Coefficient and Tumor Size. Investigative radiology. 2014.
  9. 9. Klauss M, Maier-Hein K, Tjaden C, Hackert T, Grenacher L, Stieltjes B. IVIM DW-MRI of autoimmune pancreatitis: therapy monitoring and differentiation from pancreatic cancer. European radiology. 2015.
  10. 10. Lemke A, Laun FB, Klauss M, Re TJ, Simon D, Delorme S, et al. Differentiation of pancreas carcinoma from healthy pancreatic tissue using multiple b-values: comparison of apparent diffusion coefficient and intravoxel incoherent motion derived parameters. Investigative radiology. 2009;44(12):769–75. pmid:19838121
  11. 11. Li L. Study of DWI of Pancreas at 3-T and the Values of IVIM DWI Derived Quantitative Parameters in Diagnosing Solid Pancreatic Focal Lesions (In Chinese). 2015.
    • 12. Re TJ, Lemke A, Klauss M, Laun FB, Simon D, Grunberg K, et al. Enhancing pancreatic adenocarcinoma delineation in diffusion derived intravoxel incoherent motion f-maps through automatic vessel and duct segmentation. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 2011;66(5):1327–32.
    • 13. Cheung V, Cheung C, McAlonan GM, Deng Y, Wong JG, Yip L, et al. A diffusion tensor imaging study of structural dysconnectivity in never-medicated, first-episode schizophrenia. Psychological medicine. 2008;38(6):877–85. pmid:17949516
    • 14. Friedman JI, Tang C, Carpenter D, Buchsbaum M, Schmeidler J, Flanagan L, et al. Diffusion tensor imaging findings in first-episode and chronic schizophrenia patients. The American journal of psychiatry. 2008;165(8):1024–32. pmid:18558643
    • 15. Asami T, Hyuk Lee S, Bouix S, Rathi Y, Whitford TJ, Niznikiewicz M, et al. Cerebral white matter abnormalities and their associations with negative but not positive symptoms of schizophrenia. Psychiatry research. 2014;222(1–2):52–9. pmid:24650453
    • 16. Rotarska-Jagiela A, Schonmeyer R, Oertel V, Haenschel C, Vogeley K, Linden DE. The corpus callosum in schizophrenia-0076olume and connectivity changes affect specific regions. NeuroImage. 2008;39(4):1522–32. pmid:18096406
    • 17. Mandl RC, Schnack HG, Luigjes J, van den Heuvel MP, Cahn W, Kahn RS, et al. Tract-based analysis of magnetization transfer ratio and diffusion tensor imaging of the frontal and frontotemporal connections in schizophrenia. Schizophrenia bulletin. 2010;36(4):778–87. pmid:19042913
    • 18. Kitis O, Eker MC, Zengin B, Akyilmaz DA, Yalvac D, Ozdemir HI, et al. The disrupted connection between cerebral hemispheres in schizophrenia patients: a diffusion tensor imaging study. Turk psikiyatri dergisi = Turkish journal of psychiatry. 2011;22(4):213–21. pmid:22143946
    • 19. Henze R, Brunner R, Thiemann U, Parzer P, Klein J, Resch F, et al. White matter alterations in the corpus callosum of adolescents with first-admission schizophrenia. Neuroscience letters. 2012;513(2):178–82. pmid:22373786
    • 20. Nugent KL, Chiappelli J, Sampath H, Rowland LM, Thangavelu K, Davis B, et al. Cortisol Reactivity to Stress and Its Association With White Matter Integrity in Adults With Schizophrenia. Psychosomatic medicine. 2015;77(7):733–42. pmid:26186431
    • 21. Peters BD, de Haan L, Dekker N, Blaas J, Becker HE, Dingemans PM, et al. White matter fibertracking in first-episode schizophrenia, schizoaffective patients and subjects at ultra-high risk of psychosis. Neuropsychobiology. 2008;58(1):19–28. pmid:18781087
    • 22. Kubicki M, Park H, Westin CF, Nestor PG, Mulkern RV, Maier SE, et al. DTI and MTR abnormalities in schizophrenia: analysis of white matter integrity. NeuroImage. 2005;26(4):1109–18. pmid:15878290
    • 23. Collinson SL, Gan SC, Woon PS, Kuswanto C, Sum MY, Yang GL, et al. Corpus callosum morphology in first-episode and chronic schizophrenia: combined magnetic resonance and diffusion tensor imaging study of Chinese Singaporean patients. The British journal of psychiatry: the journal of mental science. 2014;204(1):55–60.
    • 24. Kong X, Ouyang X, Tao H, Liu H, Li L, Zhao J, et al. Complementary diffusion tensor imaging study of the corpus callosum in patients with first-episode and chronic schizophrenia. Journal of psychiatry & neuroscience: JPN. 2011;36(2):120–5.
    • 25. Kunimatsu N, Aoki S, Kunimatsu A, Abe O, Yamada H, Masutani Y, et al. Tract-specific analysis of white matter integrity disruption in schizophrenia. Psychiatry research. 2012;201(2):136–43. pmid:22398298
    • 26. Sun Z, Wang F, Cui L, Breeze J, Du X, Wang X, et al. Abnormal anterior cingulum in patients with schizophrenia: a diffusion tensor imaging study. Neuroreport. 2003;14(14):1833–6. pmid:14534430
    • 27. Gasparotti R, Valsecchi P, Carletti F, Galluzzo A, Liserre R, Cesana B, et al. Reduced fractional anisotropy of corpus callosum in first-contact, antipsychotic drug-naive patients with schizophrenia. Schizophrenia research. 2009;108(1–3):41–8. pmid:19103476
    • 28. Kanaan R, Barker G, Brammer M, Giampietro V, Shergill S, Woolley J, et al. White matter microstructure in schizophrenia: effects of disorder, duration and medication. The British journal of psychiatry: the journal of mental science. 2009;194(3):236–42.
    • 29. Lee SH, Kubicki M, Asami T, Seidman LJ, Goldstein JM, Mesholam-Gately RI, et al. Extensive white matter abnormalities in patients with first-episode schizophrenia: a Diffusion Tensor Iimaging (DTI) study. Schizophrenia research. 2013;143(2–3):231–8. pmid:23290268
    • 30. Foong J, Maier M, Clark CA, Barker GJ, Miller DH, Ron MA. Neuropathological abnormalities of the corpus callosum in schizophrenia: a diffusion tensor imaging study. Journal of neurology, neurosurgery, and psychiatry. 2000;68(2):242–4. pmid:10644799
    • 31. Kochunov P, Chiappelli J, Wright SN, Rowland LM, Patel B, Wijtenburg SA, et al. Multimodal white matter imaging to investigate reduced fractional anisotropy and its age-related decline in schizophrenia. Psychiatry research. 2014;223(2):148–56. pmid:24909602
    • 32. Price G, Bagary MS, Cercignani M, Altmann DR, Ron MA. The corpus callosum in first episode schizophrenia: a diffusion tensor imaging study. Journal of neurology, neurosurgery, and psychiatry. 2005;76(4):585–7. pmid:15774453
    • 33. Knochel C, Oertel-Knochel V, Schonmeyer R, Rotarska-Jagiela A, van de Ven V, Prvulovic D, et al. Interhemispheric hypoconnectivity in schizophrenia: fiber integrity and volume differences of the corpus callosum in patients and unaffected relatives. NeuroImage. 2012;59(2):926–34. pmid:21964509
    • 34. Harms MP, Akhter KD, Csernansky JG, Mori S, Barch DM. Fractional anisotropy in individuals with schizophrenia and their nonpsychotic siblings. Psychiatry research. 2015;231(1):87–91. pmid:25453989
    • 35. Whitford TJ, Kubicki M, Ghorashi S, Schneiderman JS, Hawley KJ, McCarley RW, et al. Predicting inter-hemispheric transfer time from the diffusion properties of the corpus callosum in healthy individuals and schizophrenia patients: a combined ERP and DTI study. NeuroImage. 2011;54(3):2318–29. pmid:20977941
    • 36. Kitiş O, Eker MC, Zengin B, Akyılmaz DA, Yalvaç D, Ozdemir HI, et al. The disrupted connection between cerebral hemispheres in schizophrenia patients: a diffusion tensor imaging study. Turk psikiyatri dergisi = Turkish journal of psychiatry. 2011;22(4):213–21. pmid:22143946
    • 37. Samartzis L, Dima D, Fusar-Poli P, Kyriakopoulos M. White matter alterations in early stages of schizophrenia: a systematic review of diffusion tensor imaging studies. Journal of neuroimaging: official journal of the American Society of Neuroimaging. 2014;24(2):101–10.
    • 38. Mihrshahi R. The corpus callosum as an evolutionary innovation. Journal of experimental zoology Part B, Molecular and developmental evolution. 2006;306(1):8–17. pmid:16116611