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Cited by 27Schizophrenia research and treatmentAdvanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

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Alterations of cerebral white matter structure in psychosis and their clinical correlations: a systematic review of Diffusion Tensor Imaging studies

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Parnanzone, Serena, Serrone, Dario, Rossetti, Maria Cristina, D'Onofrio, Simona, Splendiani, Alessandra, Micelli, Valeria, Rossi, Alessandro, Pacitti, Francesca·2017·Rivista di Psichiatria
DOI 10.1708/2679.27441
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Abstract

SUMMARY. Schizophrenia is a common, severe and chronically disabling mental illness. Most of MRI studies in schizophrenia suggest the involvement of white matter (WM) pathology in multiple cerebral regions in the neurobiology of this condition. White matter fiber tracts connecting numerous cortical regions have been the focus of a number of studies using a magnetic resonance technique called “Diffusion Tensor Imaging” (DTI). A literature search of published DTI studies was conducted using the major database National Centre for Biotechnology information (NCBI) PubMed (MEDLINE). Our review covers 95 published papers. We summarise the main DTI findings involving the different brain regions in patients affected by or at high-risk for psychosis; we discuss clinical implications of these white matter disruptions and the limitations of current studies, listing the potential confounds and suggesting potential future research directions.

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  1. [1]1. Picchioni M, Murray RM. Schizophrenia. BMJ 2007; 335: 91-5.
  2. [2]2. Miguel-Hidalgo JJ. Brain structural and functional changes in adolescents with psychiatric disorders. Int J Adolesc Med Health 2013; 25: 245-56.
  3. [3]3. Benes F, Turtle M, Khan Y, Farol P . Myelination of a key relay zone in the hippocampal formation occurs in the human brain during childhood, adolescence and adulthood. Arch Gen Psichiatry 1994; 51: 477-84.
  4. [4]4. Lenroot RK, Giedd JN. Brain development in children and adolescents: insights from anatomical magnetic resonance imaging. Neurosci Biobehav Rev 2006; 30: 718-29.
  5. [5]5. Kuswanto CN, Teh I, Lee TS, Sim K. Diffusion tensor imaging findings of white matter changes in first episode schizophrenia: a systematic review. Clin Psychopharmacol Neurosci 2012; 10: 13-24.
  6. [6]6. Peters BD, Blaas J, de Haan L. Diffusion tensor imaging in the early phase of schizophrenia: what have we learned? J Psychiatr Res 2010; 44: 993-1004.
  7. [7]7. Pierpaoli C, Jezzard P , Basser PJ, Barnett A, Di Chiro G. Diffu7. sion tensor MR imaging of the human brain. Radiology 1996; 201: 637-48.
  8. [8]8. Kyriakopoulos M, Bargiotas T, Barker GJ, Frangou S. Diffusion tensor imaging in schizophrenia. Eur Psychiatry 2008; 23: 25573.
  9. [9]9. Katagiri N, Pantelis C, Nemoto T, et al. A longitudinal study in9. vestigating sub-threshold symptoms and white matter changes in individuals with an 'at risk mental state' (ARMS). Schizophr Res 2015; 162: 7-13.
  10. [10]10. Bloemen O, de Koning MB, Schmitz N, et al. White-matter markers for psychosis in a prospective ultra-high-risk cohort. Psychol Med 2010; 40: 1297-304.
  11. [11]11. Muñoz Maniega S, Lymer GK, Bastin ME, et al. A diffusion tensor MRI study of white matter integrity in subjects at high genetic risk of schizophrenia. Schizophr Res 2008; 106: 132-9.
  12. [12]12. Camchong J, Lim KO, Sponheim SR, Macdonald AW. Frontal white matter integrity as an endophenotype for schizophrenia: diffusion tensor imaging in monozygotic twins and patients' nonpsychotic relatives. Front Hum Neurosci 2009; 3: 35.
  13. [13]13. Nakamura M, McCarley RW, Kubicki M, et al. Fronto-temporal disconnectivity in schizotypal personality disorder: a diffusion tensor imaging study. Biol Psychiatry 2005; 58: 468-78.
  14. [14]14. Karlsgodt KH, Niendam TA, Bearden CE, Cannon TD. White matter integrity and prediction of social and role functioning in subjects at ultra-high risk for psychosis. Biol Psychiatry 2009; 66: 562-9.
  15. [16]16. Peters BD, de Haan L, Dekker N, et al. White matter fibertracking in first-episode schizophrenia, schizoaffective patients and subjects at ultra-high risk of psychosis. Neuropsychobiology 2008; 58: 19-28.
  16. [17]17. Peters BD, Schmitz N, Dingemans PM, et al. Preliminary evidence for reduced frontal white matter integrity in subjects at ultra-high-risk for psychosis. Schizophr Res 2009; 111: 192-3.
  17. [19]19. Hazlett EA, Goldstein KE, Tajima-Pozo K, et al. Cingulate and temporal lobe fractional anisotropy in schizotypal personality disorder. Neuroimage 2011; 55: 900-8.
  18. [20]20. Kyriakopoulos M, Perez-Iglesias R, Woolley JB, et al. Effect of age at onset of schizophrenia on white matter abnormalities. Br J Psychiatry 2009; 195: 346-53.
  19. [21]21. Carletti F, Woolley JB, Bhattacharyya S, et al. Alterations in whi21. te matter evident before the onset of psychosis. Schizophr Bull 2012; 38: 1170-9.
  20. [22]22. Benetti S, Pettersson-Yeo W, Allen P , et al. Auditory verbalm 22. hallucinations and brain dysconnectivity in the perisylvian language network: a multimodal investigation. Schizophr Bull 2015; 41: 192-200.
  21. [23]23. Hoptman JM, Nierenberg J, Bertisch HC, et al. A DTI study of white matter microstructure in individuals at high genetic risk for schizophrenia. Schizophr Res 2008; 106: 115-24.
  22. [24]24. Smallman RP, Barkus E, Azadbakht H, et al. MRI diffusion tractography study in individuals with schizotypal features: a pilot study. Psychiatry Res 2014; 221: 49-57.
  23. [25]25. Domen PA, Michielse S, Gronenschild E, et al. Microstructural white matter alterations in psychotic disorder: a family-based diffusion tensor imaging study. Schizophr Res 2013; 146: 291300.
  24. [26]26. Boos HB, Mandl RC, van Haren NE, et al. Tract-based diffusion tensor imaging in patients with schizophrenia and their non-psychotic siblings. Eur Neuropsychopharmacol 2013; 23: 295-304.
  25. [27]27. Epstein KA, Cullen KR, Mueller BA, Robinson P, Lee S, Kumra S. White matter abnormalities and cognitive impairment in early-onset schizophrenia-spectrum disorders. J Am Acad Child Adolesc Psychiatry 2014; 53: 362-72. e1-2.
  26. [28]28. DeRosse P, Nitzburg GC, Ikuta T, Peters BD, Malhotra AK, Szeszko PR. Evidence from structural and diffusion tensor imaging for frontotemporal deficits in psychometric schizotypy. Schizophr Bull 2015; 41: 104-14.
  27. [29]29. Lener MS, Wong E, Tang CY, et al. White matter abnormalities in schizophrenia and schizotypal personality disorder. Schizophr Bull 2015; 41: 300-10.
  28. [30]30. Lagopoulos J, Hermens DF, Hatton SN, et al. Microstructural white matter changes are correlated with the stage of psychiatric illness. Transl Psychiatry 2013; 3: e248.
  29. [31]31. Jacobson S, Kelleher I, Harley M, et al. Structural and functional brain correlates of subclinical psychotic symptoms in 11-13 year old schoolchildren. Neuroimage 2010; 49: 1875-85.
  30. [32]32. Goghari VM, Billiet T, Sunaert S, Emsell L. A diffusion tensor imaging family study of the fornix in schizophrenia. Schizophr Res 2014; 159: 435-40.
  31. [33]33. von Hohenberg CC, Pasternak O, Kubicki M, et al. White matter microstructure in individuals at clinical high risk of psychosis: a whole-brain diffusion tensor imaging study. Schizophr Bull 2014; 40: 895-903.
  32. [34]34. Pettersson-Yeo W, Benetti S, Marquand AF, et al. Using genetic, cognitive and multimodal neuroimaging data to identify ultrahigh risk and first-episode psychosis at the individual level. Psychol Med 2013; 43: 2547-62.

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Metadata

Authors
Parnanzone, S., Serrone, D., Rossetti, M. C., D'Onofrio, S., Splendiani, A., Micelli, V., Rossi, A., & Pacitti, F.
Affiliations
University of L'Aquila (IT)
ORCID
Venue
Rivista di Psichiatria
Publisher
Il Pensiero Scientifico Editore
Published
2017-03-01
Volume
52
Issue
2
Pages
49-66
ISSN
0035-6484 (ISSN-L)
DOI
10.1708/2679.27441
OpenAlex
W2614290467
Cited by
27
References
0
Citations by year
2026: 1 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 4
FWCI
0.46
Type
journal article
Language
en
Open access
Locations
  • Rivista di psichiatria (publishedVersion)
  • PubMed (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi dell Aquila (submittedVersion, public-domain)
  • PubMed
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 › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
schizophrenia, psychosis, white matter pathology, diffusion tensor imaging, white matter tracts, brain structural changes, clinical correlates, clinical high risk for psychosis, neurobiology of schizophrenia
MeSH terms
Cerebral Cortex, Corpus Callosum, Humans, Limbic System, Myelin Sheath, Psychotic Disorders, Risk, Schizophrenia, Anisotropy, Diffusion Tensor Imaging, White Matter

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