Dataset Information

Alterations of superficial white matter in schizophrenia and relationship to cognitive performance.

ABSTRACT: Post-mortem studies have demonstrated alterations in superficial white matter (SWM) in schizophrenia patients. Diffusion tensor imaging (DTI) can be used to assess SWM in vivo, and compare SWM fractional anisotropy (FA) in schizophrenia patients vs healthy controls. The assessment of SWM in vivo also provides an opportunity to identify novel neural correlates of cognitive performance, and potential cognitive impairment in schizophrenia patients. Forty-four patients with schizophrenia and 44 matched healthy controls underwent neuroimaging and cognitive protocols. Using an SWM mask and tract-based spatial statistics, differences in SWM-FA were examined between groups. SWM-FA clusters different between groups were then used to predict cognitive performance with multiple linear regression. The relative contribution of SWM fiber subtypes (deep white matter extensions vs U-fibers and intraregional fibers) from significantly different clusters was examined. Compared to controls, patients with schizophrenia had reduced FA in five SWM clusters: the largest a left posterior parieto-occipital cluster, followed by four clusters in the left frontal lobe. SWM-FA in the frontal lobe clusters predicted attention, working memory, and processing speed performance in healthy controls, but not in patients with schizophrenia. The majority of streamlines tracked from these clusters were restricted to U-fibers and intraregional fibers, rather than deep white matter extensions. Our analyses revealed prominent SWM disruption in patients with schizophrenia compared to controls. SWM-cognition relationships shown in healthy individuals were disrupted in patients with schizophrenia. SWM may be an important neurobiological substrate of cognitive performance and a novel cortical treatment target for cognitive deficits in schizophrenia patients.

SUBMITTER: Nazeri A

PROVIDER: S-EPMC3746702 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

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Alterations of superficial white matter in schizophrenia and relationship to cognitive performance.

Nazeri Arash A Chakravarty M Mallar MM Felsky Daniel D Lobaugh Nancy J NJ Rajji Tarek K TK Mulsant Benoit H BH Voineskos Aristotle N AN

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 20130416 10

Post-mortem studies have demonstrated alterations in superficial white matter (SWM) in schizophrenia patients. Diffusion tensor imaging (DTI) can be used to assess SWM in vivo, and compare SWM fractional anisotropy (FA) in schizophrenia patients vs healthy controls. The assessment of SWM in vivo also provides an opportunity to identify novel neural correlates of cognitive performance, and potential cognitive impairment in schizophrenia patients. Forty-four patients with schizophrenia and 44 matc ...[more]

PMID: 23591167

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Project description:Subjective cognitive decline (SCD) is a perceived cognitive change prior to objective cognitive deficits, and although it is associated with Alzheimer's disease (AD) pathology, it likely results from multiple underlying pathologies. We investigated the association of white matter microstructure to SCD as a sensitive and early marker of cognitive decline and quantified the contribution of white matter microstructure separate from amyloidosis. Vanderbilt Memory & Aging Project participants with diffusion MRI data and a 45-item measure of SCD were included [n = 236, 137 cognitively unimpaired (CU), 99 with mild cognitive impairment (MCI), 73 ± 7 years, 37% female]. A subset of participants (64 CU, 40 MCI) underwent a fasting lumbar puncture for quantification of cerebrospinal fluid (CSF) amyloid-β(CSF Aβ42), total tau (CSF t-tau), and phosphorylated tau (CSF p-tau). Diffusion MRI data was post-processed using the free-water (FW) elimination technique, which allowed quantification of extracellular (FW) and intracellular compartment (fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity) microstructure. Microstructural values were quantified within 11 cognitive-related white matter tracts, including medial temporal lobe, frontal transcallosal, and fronto-parietal tracts using a region of interest approach. General linear modeling related each tract to SCD scores adjusting for age, sex, race/ethnicity, education, Framingham Stroke Risk Profile scores, APOE ε4 carrier status, diagnosis, Geriatric Depression Scale scores, hippocampal volume, and total white matter volume. Competitive models were analyzed to determine if white matter microstructural values have a unique role in SCD scores separate from CSF Aβ42. FW-corrected radial diffusivity (RDT) was related to SCD scores in 8 tracts: cingulum bundle, inferior longitudinal fasciculus, as well as inferior frontal gyrus (IFG) pars opercularis, IFG orbitalis, IFG pars triangularis, tapetum, medial frontal gyrus, and middle frontal gyrus transcallosal tracts. While CSF Aβ42 was related to SCD scores in our cohort (Radj2 = 39.03%; β = -0.231; p = 0.020), competitive models revealed that fornix and IFG pars triangularis transcallosal tract RDT contributed unique variance to SCD scores beyond CSF Aβ42 (Radj2 = 44.35% and Radj2 = 43.09%, respectively), with several other tract measures demonstrating nominal significance. All tracts which demonstrated nominal significance (in addition to covariates) were input into a backwards stepwise regression analysis. ILF RDT, fornix RDT, and UF FW were best associated with SCD scores (Radj2 = 46.69%; p = 6.37 × 10-12). Ultimately, we found that medial temporal lobe and frontal transcallosal tract microstructure is an important driver of SCD scores independent of early amyloid deposition. Our results highlight the potential importance of abnormal white matter diffusivity as an early contributor to cognitive decline. These results also highlight the value of incorporating multiple biomarkers to help disentangle the mechanistic heterogeneity of SCD as an early stage of cognitive decline.

Project description:Importance:Efforts to remediate the multiple cognitive function impairments in schizophrenia should consider white matter as one of the underlying neural mechanisms. Objective:To determine whether altered structural brain connectivity is responsible for 2 of the core cognitive deficits in schizophrenia- reduced information processing speed and impaired working memory. Design, Setting, and Participants:This cross-sectional study design took place in outpatient clinics from August 1, 2004, to August 31, 2015. Participants included 166 patients with schizophrenia and 213 healthy control individuals. These participants were from 3 independent cohorts, each of which had its own healthy control group. No participant had current or past neurological conditions or major medical conditions. Patients were diagnosed with either schizophrenia or schizoaffective disorder as defined by the DSM-IV. Controls had no Axis I psychiatric disorder. Main Outcomes and Measures:Mediation analyses and structural equation modeling were used to analyze the associations among processing speed, working memory, and white matter microstructures. Whole-brain and regional diffusion tensor imaging fractional anisotropy were used to measure white matter microstructures. Results:Of the study participants, the 166 patients with schizophrenia had a mean (SD) age of 38.2 (13.3) years and the 213 healthy controls had a mean (SD) age of 39.2 (14.0) years. There were significantly more male patients than controls in each of the 3 cohorts (117 [70%] vs 91 [43%]), but there were no significant differences in sex composition among the 3 cohorts. Patients had significantly reduced processing speed (Cohen d?=?1.24; P?=?6.91?×?10-30) and working memory deficits (Cohen d?=?0.83; P?=?1.10?×?10-14) as well as a significant whole-brain fractional anisotropy deficit (Cohen d?=?0.63; P?=?2.20?×?10-9). In schizophrenia, working memory deficit was mostly accounted for by processing speed deficit, but this deficit remained when accounting for working memory (Cohen d?=?0.89; P?=?2.21?×?10-17). Mediation analyses showed a significant association pathway from fractional anisotropy to processing speed to working memory (P?=?5.01?×?10-7). The strength of this brain-to-cognition pathway in different white matter tracts was strongly associated with the severity of schizophrenia-associated fractional anisotropy deficits in the corresponding white matter tracts as determined by a meta-analysis (r?=?0.85-0.94; all P?<?.001). The same pattern was observed in patients and controls either jointly or independently. Conclusions and Relevance:Study findings suggest that (1) processing speed contributes to the association between white matter microstructure and working memory in schizophrenia and (2) white matter impairment in schizophrenia is regional tract-specific, particularly in tracts normally supporting processing speed performance.

Project description:Altered cerebral connectivity is one of the core pathophysiological mechanism underlying the development and progression of information-processing deficits in schizophrenia. To date, most diffusion tensor imaging (DTI) studies used fractional anisotropy (FA) to investigate disrupted white matter connections. However, a quantitative interpretation of FA changes is often impeded by the inherent limitations of the underlying tensor model. A more fine-grained measure of white matter alterations could be achieved by measuring fiber density (FD) - a novel non-tensor-derived diffusion marker. This study investigates, for the first time, FD alterations in schizophrenia patients. FD and FA maps were derived from diffusion data of 25 healthy controls (HC) and 21 patients with schizophrenia (SZ). Using tract-based spatial statistics (TBSS), group differences in FD and FA were investigated across the entire white matter. Furthermore, we performed a region of interest (ROI) analysis of frontal fasciculi to detect potential correlations between FD and positive symptoms. As a result, whole brain TBSS analysis revealed reduced FD in SZ patients compared to HC in several white matter tracts including the left and right thalamic radiation (TR), superior longitudinal fasciculus (SLF), corpus callosum (CC), and corticospinal tract (CST). In contrast, there were no significant FA differences between groups. Further, FD values in the TR were negatively correlated with the severity of positive symptoms and medication dose in SZ patients. In summary, a novel diffusion-weighted data analysis approach enabled us to identify widespread FD changes in SZ patients with most prominent white matter alterations in the frontal and subcortical regions. Our findings suggest that the new FD measure may be more sensitive to subtle changes in the white matter microstructure compared to FA, particularly in the given population. Therefore, investigating FD may be a promising approach to detect subtle changes in the white matter microstructure of altered connectivity in schizophrenia.

Dataset Information

Alterations of superficial white matter in schizophrenia and relationship to cognitive performance.

Publications

Alterations of superficial white matter in schizophrenia and relationship to cognitive performance.

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