4.7 Article

Disrupted Axonal Fiber Connectivity in Schizophrenia

Journal

BIOLOGICAL PSYCHIATRY
Volume 69, Issue 1, Pages 80-89

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2010.08.022

Keywords

Axonal connectivity; diffusion tensor imaging; network; schizophrenia; tractography; white-matter

Funding

  1. Australian Schizophrenia Research Bank
  2. National Health and Medical Research Council (NHMRC) of Australia
  3. Pratt Foundation
  4. Ramsay Health Care
  5. Viertel Charitable Foundation
  6. Schizophrenia Research Institute
  7. National Institute of Biomedical Imaging and Bioengineering
  8. National Institute of Mental Health
  9. Australian Research Council [DP0986320]
  10. NHMRC [454797, 628386]
  11. Ronald Phillip Griffith Fellowship
  12. Swiss Academy of Medical Science
  13. Swiss National Science Foundation [PASMP3 129357/1]
  14. National Institutes of Health (NIH) [NIH R01MH074794]
  15. National Institutes of Health (NIH), Neuroimage Analysis Center [NIH P41RR013218]
  16. NATIONAL CENTER FOR RESEARCH RESOURCES [P41RR013218] Funding Source: NIH RePORTER
  17. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [P41EB015902] Funding Source: NIH RePORTER
  18. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH074794] Funding Source: NIH RePORTER

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Background: Schizophrenia is believed to result from abnormal functional integration of neural processes thought to arise from aberrant brain connectivity. However, evidence for anatomical dysconnectivity has been equivocal, and few studies have examined axonal fiber connectivity in schizophrenia at the level of whole-brain networks. Methods: Cortico-cortical anatomical connectivity at the scale of axonal fiber bundles was modeled as a network. Eighty-two network nodes demarcated functionally specific cortical regions. Sixty-four direction diffusion tensor-imaging coupled with whole-brain tractography was performed to map the architecture via which network nodes were interconnected in each of 74 patients with schizophrenia and 32 age- and gender-matched control subjects. Testing was performed to identify pairs of nodes between which connectivity was impaired in the patient group. The connectional architecture of patients was tested for changes in five network attributes: nodal degree, small-worldness, efficiency, path length, and clustering. Results: Impaired connectivity in the patient group was found to involve a distributed network of nodes comprising medial frontal, parietal/occipital, and the left temporal lobe. Although small-world attributes were conserved in schizophrenia, the cortex was interconnected more sparsely and up to 20% less efficiently in patients. Intellectual performance was found to be associated with brain efficiency in control subjects but not in patients. Conclusions: This study presents evidence of widespread dysconnectivity in white-matter connectional architecture in a large sample of patients with schizophrenia. When considered from the perspective of recent evidence for impaired synaptic plasticity, this study points to a multifaceted pathophysiology in schizophrenia encompassing axonal as well as putative synaptic mechanisms.

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