A review of diffusion tensor imaging studies in schizophrenia.

By Marek Kubicki, Robert W. McCarley, Carl-Fredrik Westin, Hae-Jeong Park, S. Maier, Ron Kikinis, F. Jolesz, Martha Elizabeth Shenton. Journal of Psychiatric Research, 2007

814 citations recorded by the source corpus.

Both post-mortem and neuroimaging studies have contributed significantly to what we know about the brain and schizophrenia. MRI studies of volumetric reduction in several brain regions in schizophrenia have confirmed early speculations that the brain is disordered in schizophrenia. There is also a growing body of evidence suggesting that a disturbance in connectivity between different brain regions, rather than abnormalities within the separate regions themselves, are responsible for the clinical symptoms and cognitive dysfunctions observed in this disorder. Thus an interest in white matter fiber tracts, subserving anatomical connections between distant, as well as proximal, brain regions, is emerging. This interest coincides with the recent advent of diffusion tensor imaging (DTI), which makes it possible to evaluate the organization and coherence of white matter fiber tracts. This is an important advance as conventional MRI techniques are insensitive to fiber tract direction and organization, and have not consistently demonstrated white matter abnormalities. DTI may, therefore, provide important new information about neural circuitry, and it is increasingly being used in neuroimaging studies of psychopathological disorders. Of note, in the past five years 18 DTI studies in schizophrenia have been published, most describing white matter abnormalities. Questions still remain, however, regarding what we are measuring that is abnormal in this disease, and how measures obtained using one method correspond to those obtained using other methods? Below we review the basic principles involved in MR-DTI, followed by a review of the different methods used to evaluate diffusion. Finally, we review MR-DTI findings in schizophrenia.

Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/e185fadb75c5f6321b562d587555a01b0c018efa

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In Pediatrics, Perinatology and Child Health

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Citations in the corpus

Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review (2007, background): “…where the major finding is reduced FA in widespread brain regions including the corpus callosum, uncinate fascicules, frontal white matter, and others (Kanaan et al. 2005; Kubicki et al. 2005; Jones et al. 2005; Kumra et al. 2004; Ardekani et al. 2003; Lim and Helpern 2002; Price et al. 2005).”
Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood (2011, background): “…Copyright © 2011 the authors 0270-6474/11/3110937-11$15.00/0 Frontal lobe white matter connections are commonly implicated as underdeveloped in psychiatric disorders including schizophrenia (Kubicki et al., 2007), mood disorders (Heng et al., 2010), and anxiety (Kim and Whalen, 2009).”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “Interestingly, also altered levels of white matter integrity have been reported in schizophrenia (Kubicki et al., 2007; Kubicki et al., 2005; Mandl et al., 2008), including decreased levels of microstructural organization in the cingulum tract (Nestor et al., 2007; Sun et al., 2003).”
Automated Probabilistic Reconstruction of White-Matter Pathways in Health and Disease Using an Atlas of the Underlying Anatomy (2011, methodology): “Several studies of schizophrenia using diffusion MRI have been published to date (see, e.g., Kubicki et al., 2007 for a review).”
Abnormal rich club organization and functional brain dynamics in schizophrenia. (2013, neutral): “9) [37-88] 57.”
Abnormal neural oscillations and synchrony in schizophrenia (2010, background): “These studies have found reduced volume of white matter in several brain regions as well as reduced organization of cortico-cortical connections as disclosed by diffusion tensor imaging (DTI”
Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. (2007, methodology): “…of the methods applied and to special methodological problems in working with this disease population, such as appropriately handling the enlargement of ventricles (Shenton et al., 2001; Honea et al., 2005; Kanaan et al., 2005; Kubicki et al., 2005; Walterfang et al., 2006; Kubicki et al., 2007).”
Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain (2009, background): “Small-world networks are known to have a high level of both local and global efficiency [Latora and Marchiori, 2001; Achard and Bullmore, 2007], suggesting that information can be efficiently processed locally and then quickly transported to remote regions for further processing.”
Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis (2010, methodology): “…a technique that enables the examination of white matter tracts of the brain, have revealed reduced white matter microstructural integrity of specific frontal and temporal white matter structures (Kanaan et al., 2005; Kubicki et al., 2007; Ellison-Wright and Bullmore, 2009; Voineskos et al., 2010).”
How and how not to correct for CSF-contamination in diffusion MRI (2012, positive): “Such changes have been demonstrated in a number of clinical populations, for instance, in patients with schizophrenia (for review see Jones et al., 2005a, 2005b, 2005c; Kubicki et al., 2007), depression and bipolar disorder (for review see Maller et al.”
Connectivity-Based Parcellation of Human Cingulate Cortex and Its Relation to Functional Specialization (2009, neutral): “…in diseases such as Alzheimer’s disease, depression, schizophrenia, and obsessive compulsive disorder (Rosenberg et al., 2004; Gotlib et al., 2005; Kubicki et al., 2005; Naggara et al., 2006), it is desirable to identify human cingulate subregions on the basis of both anatomical connectivity and…”
Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia (2009, background): “Structural observations have provided support for disconnectivity in schizophreni”