ZNF804A genetic variation (rs1344706) affects brain grey but not white matter in schizophrenia and healthy subjects.

BACKGROUND: Genetic variation in the gene encoding ZNF804A, a risk gene for schizophrenia, has been shown to affect brain functional endophenotypes of the disorder, while studies of white matter structure have been inconclusive. METHOD: We analysed effects of ZNF804A single nucleotide polymorphism rs1344706 on grey and white matter using voxel-based morphometry (VBM) in high-resolution T1-weighted magnetic resonance imaging scans of 62 schizophrenia patients and 54 matched healthy controls. RESULTS: We found a significant (p < 0.05, family-wise error corrected for multiple comparisons) interaction effect of diagnostic group x genotype for local grey matter in the left orbitofrontal and right and left lateral temporal cortices, where patients and controls showed diverging effects of genotype. Analysing the groups separately (at p < 0.001, uncorrected), variation in rs1344706 showed effects on brain structure within the schizophrenia patients in several areas including the left and right inferior temporal, right supramarginal/superior temporal, right and left inferior frontal, left frontopolar, right and left dorsolateral/ventrolateral prefrontal cortices, and the right thalamus, as well as effects within the healthy controls in left lateral temporal, right anterior insula and left orbitofrontal cortical areas. We did not find effects of genotype of regional white matter in either of the two cohorts. CONCLUSIONS: Our findings demonstrate effects of ZNF804A genetic variation on brain structure, with diverging regional effects in schizophrenia patients and healthy controls in frontal and temporal brain areas. These effects, however, might be dependent on the impact of other (genetic or non-genetic) disease factors.

Common variation in NCAN, a risk factor for bipolar disorder and schizophrenia, influences local cortical folding in schizophrenia.

BACKGROUND: Recent studies have provided strong evidence that variation in the gene neurocan (NCAN, rs1064395) is a common risk factor for bipolar disorder (BD) and schizophrenia. However, the possible relevance of NCAN variation to disease mechanisms in the human brain has not yet been explored. Thus, to identify a putative pathomechanism, we tested whether the risk allele has an influence on cortical thickness and folding in a well-characterized sample of patients with schizophrenia and healthy controls. METHOD: Sixty-three patients and 65 controls underwent T1-weighted magnetic resonance imaging (MRI) and were genotyped for the single nucleotide polymorphism (SNP) rs1064395. Folding and thickness were analysed on a node-by-node basis using a surface-based approach (FreeSurfer). RESULTS: In patients, NCAN risk status (defined by AA and AG carriers) was found to be associated with higher folding in the right lateral occipital region and at a trend level for the left dorsolateral prefrontal cortex. Controls did not show any association (p > 0.05). For cortical thickness, there was no significant effect in either patients or controls. CONCLUSIONS: This study is the first to describe an effect of the NCAN risk variant on brain structure. Our data show that the NCAN risk allele influences cortical folding in the occipital and prefrontal cortex, which may establish disease susceptibility during neurodevelopment. The findings suggest that NCAN is involved in visual processing and top-down cognitive functioning. Both major cognitive processes are known to be disturbed in schizophrenia. Moreover, our study reveals new evidence for a specific genetic influence on local cortical folding in schizophrenia.

Intensive practice of a cognitive task is associated with enhanced functional integration in schizophrenia.

BACKGROUND: There is increasing evidence that the frequently reported working memory impairments in schizophrenia might be partly due to an alteration in the functional connectivity between task-relevant areas. However, little is known about the functional connectivity patterns in schizophrenia patients during learning processes. In a previous study, Koch et al. [Neuroscience (2007) 146, 1474-1483] have demonstrated stronger exponential activation decreases in schizophrenia patients during overlearning of short-term memory material. The question arises whether these differential temporal patterns of activation in schizophrenia patients and controls are going along with changes in task-related functional connectivity. METHOD: Therefore, in the current study, 13 patients with schizophrenia and 13 controls were studied while performing a short-term memory task associated with increasing overlearning of verbal stimulus material. Functional connectivity was investigated by analyses of psychophysiological interactions (PPI). RESULTS: Results revealed significant task-related modulation of functional connectivity between the left dorsolateral prefrontal cortex (DLPFC) and a network including the right DLPFC, left ventrolateral prefrontal cortex, premotor cortex, right inferior parietal cortex, left and right cerebellum as well as the left occipital lobe in patients during the course of overlearning and practice. No significant PPI results were detectable in controls. CONCLUSIONS: Activation changes with practice were associated with high functional connectivity between task-relevant areas in schizophrenia patients. This could be interpreted as a compensatory resource allocation and network integration in the context of cortical inefficiency and may be a specific neurophysiological signature underlying the pathophysiology of schizophrenia.

Fronto-striatal hypoactivation during correct information retrieval in patients with schizophrenia: an fMRI study.

Working memory (WM) deficits are core symptoms of schizophrenia. Differing behavioral performance is known to represent a potent moderating variable when investigating the neural correlates of working memory in patients with schizophrenia compared with healthy controls. The present functional magnetic resonance imaging study examined performance-matched cerebral activity during correct WM retrieval by balancing the mean number of correct responses as well as the mean response times between patients and controls and analyzing remaining correct trials. Forty-one schizophrenia patients and 41 healthy controls performed an event-related Sternberg task allowing for analysis of correctly remembered trials. Correct retrieval was associated with activation in a bilateral fronto-parieto-occipital network comprising mainly the dorsolateral prefrontal cortex, ventrolateral prefrontal cortex and superior parietal cortex in controls and, to a weaker degree, in patients. Direct group comparison revealed significantly decreased activations in patients in the posterior (Brodmann area (BA) 31) and anterior (BA 32) cingulate cortex (ACC) and the medial caudate bilaterally when matching for performance. When matching for performance and response speed there was additional hypoactivation in the insula. Mean response times were negatively correlated with cingulate and caudate activation only in controls. Present findings suggest that during efficient WM retrieval processing patients exhibit only slightly impaired activation in a task-specific network containing mainly prefrontal and superior parietal areas. However, hypoactivation of areas predominantly responsible for cognitive control and response execution seems to remain even under performance-matched conditions. Given the relevant role of the caudate and the ACC in dopaminergically mediated executive processing, the results bear crucial implications for the psychopathology of schizophrenia.

Temporal modeling demonstrates preserved overlearning processes in schizophrenia: an fMRI study.

Working memory (WM) deficits are a core feature of schizophrenia. However, it has not been examined whether these deficits are related to altered temporal dynamics of information acquisition and changes in executive cognitive control. Therefore, the present study intended to quantify and model the dynamic process of information acquisition during continuous overlearning of WM information. It also aimed at investigating the relation between overlearning-associated change in behavioral performance and brain activity. Thirteen schizophrenic patients and 13 healthy volunteers were studied with functional magnetic resonance imaging (fMRI) while performing a recently developed overlearning paradigm [Koch K, Wagner G, von Consbruch K, Nenadic I, Schultz C, Ehle C, Reichenbach J, Sauer H, Schlösser R (2006) Temporal changes in neural activation during practice of information retrieval from short-term memory: An fMRI study. Brain Res 1107:140-150]. Consistent with the earlier study, short-term learning of stimulus material was associated with significant performance improvements and exponential signal decreases in a fronto-parieto-cerebellar network both in schizophrenic patients and in healthy volunteers. Against expectation patients exhibited stronger signal decreases relative to controls in anterior cingulate (Brodmann area (BA) 32), middle and superior temporal (BA 37, BA 22), superior frontal (BA 8/9, BA 6) and posterior parietal regions (BA 40). Furthermore, the individually modeled exponential decay rate of the blood oxygenation level-dependent signal in the right dorsolateral prefrontal cortex was significantly correlated with exponential decrease in mean behavioral response times in healthy controls while a statistical trend emerged in patients. A relative hyperactivation in the patient group was observable only at the start of the learning process and diminished with continued overlearning. This effect might indicate a gradual reduction of recruited neuronal resources and a practice-associated activation normalization in patients with schizophrenia. Our data suggest that in subacute patients learning and associated decreases in cerebral activation brought about by short-term practice are left unimpaired.

Structure-function relationships in the context of reinforcement-related learning: a combined diffusion tensor imaging-functional magnetic resonance imaging study.

In the context of probabilistic learning, previous functional magnetic resonance imaging studies have shown decreasing uncertainty accompanying decreasing neuronal activation in task-relevant networks. Moreover, initial evidence points to a relationship between white matter structure and cognitive performance. Little is known, however, about the structural correlates underlying individual differences in activation and performance in the context of probabilistic learning. This combined functional magnetic resonance imaging-diffusion tensor imaging study aimed at investigating the individual ability to reduce processing resources with decreasing uncertainty in direct relation to individual characteristics in white matter brain structure. Results showed that more successful learners, as compared with less successful learners, exhibited stronger activation decreases with decreasing uncertainty. An increased mean and axial diffusivity in, among others, the inferior and superior longitudinal fasciculus, the posterior part of the cingulum bundle, and the corpus callosum were detectable in less successful learners compared with more successful learners. Most importantly, there was a negative correlation between uncertainty-related activation and diffusivity in a fronto-parieto-striatal network in less successful learners only, indicating a direct relation between diffusivity and the ability to reduce processing resources with decreasing uncertainty. These findings indicate that interindividual variations in white matter characteristics within the normal population might be linked to neuronal activation and critically influence individual learning performance.