A DTI study of white matter microstructure in individuals at high genetic risk for schizophrenia
Abstract
Structural brain developmental anomalies, particularly those in frontotemporal white matter pathways, may have a genetic component and place people at increased risk for schizophrenia. The current study employed Diffusion Tensor Imaging (DTI) to measure fractional anisotropy (FA) as a quantitative indicator of white matter integrity. We examined twenty-two participants at high genetic risk for schizophrenia (HR), 23 people with schizophrenia (most of whom were family members of those at HR) and 37 non-psychiatric controls for comparison. In those at HR, reduced FA was observed in the cingulate and angular gyri bilaterally. In a few regions, FA was higher in HR participants than in comparison participants. These regional variations in FA might reflect differences in white matter development from comparison participants. Our data provide some evidence that abnormal white matter integrity may be detectable before the onset of a psychotic illness, although longitudinal studies are necessary to determine whether these individuals at genetic risk with abnormal FA will develop illness and whether these changes are associated with the genetic risk for the disorder.
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Among familial high-risk schizophrenia studies, only a minority find cingulum changes, with other structures more often affected.
“Only a minority of these familial studies find cingulum changes, with other structures more often affected (e.g., Clark et al., 2011; Hoptman et al., 2008; Karlsgodt et al., 2009; Maniega et al., 2008).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Hoptman et al., 2008
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The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
A review of MRI findings in schizophrenia
Shenton, M. E., Dickey, C. C., Frumin, M., & McCarley, R. W. (2001) · Schizophrenia Research · doi:10.1016/s0920-9964(01)00163-3 · Cited by 2,346 · see citing works
Cannon, T. D., Cadenhead, K., Cornblatt, B., Woods, S. W., Addington, J., Walker, E., Seidman, L. J., Perkins, D., Tsuang, M., McGlashan, T., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.3 · Cited by 1,269 · see citing works
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The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“Only a minority of these familial studies find cingulum changes, with other structures more often affected (e.g., Clark et al., 2011; Hoptman et al., 2008; Karlsgodt et al., 2009; Maniega et al., 2008).”
Meta-analysis of diffusion tensor imaging studies in schizophrenia
Ellison-Wright, I., & Bullmore, E. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2008.11.021 · Cited by 715 · see citing works
Dysconnectivity in schizophrenia: where are we now?
Pettersson-Yeo, W., Allen, P., Benetti, S., McGuire, P., & Mechelli, A. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.11.004 · Cited by 712 · see citing works
White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism
Cheung, C., Chua, S. E., Cheung, V., Khong, P. L., Tai, K. S., Wong, T. K. W., Ho, T. P., & McAlonan, G. M. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02086.x · Cited by 178 · see citing works
Lee, S.-H., Kubicki, M., Asami, T., Seidman, L. J., Goldstein, J. M., Mesholam-Gately, R. I., McCarley, R. W., & Shenton, M. E. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2012.11.029 · Cited by 176 · see citing works
Gilmore, J. H., Kang, C., Evans, D. D., Wolfe, H. M., Smith, J. K., Lieberman, J. A., Lin, W., Hamer, R. M., Styner, M., & Gerig, G. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101492 · Cited by 97 · see citing works
Williams, M. R., Chaudhry, R., Perera, S., Pearce, R. K. B., Hirsch, S. R., Ansorge, O., Thom, M., & Maier, M. (2013) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-012-0325-8 · Cited by 31 · see citing works
- Authors
- HOPTMAN, M., NIERENBERG, J., BERTISCH, H., CATALANO, D., ARDEKANI, B., BRANCH, C., & DELISI, L.
- Affiliations
- Nathan Kline Institute for Psychiatric Research (US)
- New York University (US)
- Corresponding author
- DELISI, L
- Venue
- Schizophrenia Research
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 106
- Issue
- 2-3
- Pages
- 115-124
- ISSN
- 0920-9964 (ISSN-L)
- OpenAlex
- W1972797655
- Cited by
- 143
- References
- 3
- Citations by year
- 2025: 1 · 2024: 6 · 2023: 2 · 2022: 9 · 2021: 7 · 2020: 4 · 2019: 7 · 2018: 5 · 2017: 6 · 2016: 8 · 2015: 14 · 2014: 13 · 2013: 10 · 2012: 12
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Schizophrenia Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Center for Advanced Brain Imaging
- National Institute of Mental Health (MH64783, MH71720, R01MH064783, R21MH071720)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- schizophrenia, high genetic risk
- MeSH terms
- Adult, Brain, Brain Mapping, Disease Susceptibility, Female, Humans, Image Processing, Computer-Assisted, Male, Neural Pathways, Risk Factors, Schizophrenia, Anisotropy, Genetic Predisposition to Disease, Diffusion Magnetic Resonance Imaging
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