Paweł Krukow

Processing speed is associated with differences in IQ and cognitive profiles between patients with schizophrenia and their healthy siblings

Abstract Background: Processing speed turns out to be the central area of research on cognition in schizophrenia. So far the relationship between this dimension and the IQ level of patients and their healthy siblings has not been investigated. Aim: To investigate the differences in cognitive speed in patients with schizophrenia and their healthy siblings, and to determine whether cognitive speed as a covariate affects differences in IQ and cognitive profiles between groups. Methods: Forty-seven inpatients diagnosed with schizophrenia according to DSM-IV (SCH) and their 36 healthy siblings (HSB) were tested with cognitive speed tasks according to Bartzokis et al. method and Wechsler Intelligence Scale. Additional control for the possible impact of antipsychotic drugs and selected demographic variables on the cognitive performance was taken into account. Results: The siblings scored significantly higher in the cognitive speed task (p < 0.01) than patients, the WAIS-R cognitive test profiles were also significantly different in two ways: between groups, and between single test results in each of the assessed groups. The interaction effect: ANOVA, F(10, 770) = 2.798, p = 0.002. Similarly, the Performance and Full Scale IQs were significantly different, at p < 0.01. After controlling for cognitive speed, all significant differences no longer exist: e.g. Full Scale IQ, p = 0.459. Conclusions: Significant differences in cognitive speed between patients and their healthy siblings generate the differences in the cognitive profile assessed with Wechsler Intelligence Scale. Some problems of cognitive speed diagnosis and further research on the cognitive schizophrenia endophenotype were discussed.

The role of IgG hypersensitivity in the pathogenesis and therapy of depressive disorders

Depressive episodes are associated not only with changes in neurotransmission in the central nervous system, but also may lead to structural changes in the brain through neuroendocrine, inflammatory, and immunological mechanisms. The aim of this article is to present a new hypothesis connecting the inflammatory theory of depression with IgG food hypersensitivity and leaky gut syndrome. This new potential pathway that may mediate the pathogenesis of depression implies the existence of subsequent developmental stages. Overproduction of zonulin triggered, for example, by gliadin through activation of the epidermal growth factor receptor and protease-activated receptor causes loosening of the tight junction barrier and an increase in permeability of the gut wall (‘leaky gut’). This results in a process allowing larger molecules that would normally stay in the gut to cross into the bloodstream and in the induction of IgG-dependent food sensitivity. This condition causes an increased immune response and consequently induces the release of proinflammatory cytokines, which in turn may lead to the development of depressive symptoms. It seems advisable to assess the intestinal permeability using as a marker, for example, zonulin and specific IgG concentrations against selected nutritional components in patients with depression. In the case of increased IgG concentrations, the implementation of an elimination–rotation diet may prove to be an effective method of reducing inflammation. This new paradigm in the pathogenesis of depressive disorders linking leaky gut, IgG-dependent food sensitivity, inflammation, and depression is promising, but still needs further studies to confirm this theory.

Disturbed functional connectivity within the left prefrontal cortex and sensorimotor areas predicts impaired cognitive speed in patients with first-episode schizophrenia

This study aimed at identifying abnormal cortico-cortical functional connectivity patterns that could predict cognitive slowing in patients with schizophrenia. A group of thirty-two patients with the first-episode schizophrenia and comparable healthy controls underwent resting-state qEEG and cognitive assessment. Phase Lag Index (PLI) was applied as a connectivity index and the synchronizations were analyzed in six frequencies. Pairs of electrodes were grouped to separately cover frontal, temporal, central, parietal and occipital regions. PLI was calculated for intra-regional connectivity and between-regions connectivity. Computer version processing speed tests were applied to control for possible fluctuations in cognitive efficiency during the performance of the tasks. In the group of patients, in comparison to healthy controls, significantly higher PLI values were recorded in theta frequency, especially in the posterior areas and decreased PLI in low-alpha frequency within the frontal regions. Mean PLI in gamma frequency was also lower in the patients group. Regression analysis showed that lower intra-regional PLI for left frontal cortex and higher PLI within somatosensory cortex in theta band, together with the duration of untreated psychosis, proved to be significant predictors of impaired processing speed in first-episode patients. Our investigation confirmed that disrupted cortico-cortical synchronization contributes to cognitive slowing in schizophrenia.

Ineffective initiation contributes to deficient verbal and non-verbal fluency in patients with schizophrenia

ABSTRACT Aims: Patients with schizophrenia (SCH) show impaired verbal and non-verbal fluency. However, these individuals’ fluctuations in words or designs generation efficiency over time, a phenomenon that may significantly affect fluency, have never been studied. Thus, the aim of this research was to investigate if individuals with SCH may present with alternations in the dynamics of the information production and its control as well as to test if the potential abnormalities in this regard might affect these patients’ overall performance on both verbal and non-verbal fluency tasks. Method: Forty-four patients with SCH and 40 healthy controls (HC) completed both verbal (phonological, semantic) and non-verbal fluency tests. To analyse processing efficiency changes over time, the period in which subjects had to generate words or designs (60 s) has been divided into 15-s sections. Results: In comparison to HCs, individuals with SCH obtained significantly lower total scores for all fluency measures. Furthermore, group differences in the dynamics of the test performance also emerged, with SCH patients having a significantly worse production during the initial 15 s of each fluency task. Additionally, the initial production deficiency seen in patients with SCH has accounted for these individuals’ total performance. Moreover, comparisons of errors distribution over time during the phonemic and figural fluency performance also revealed differences, suggesting there was a rapid depletion in maintaining of cognitive control in the SCH sample. Conclusions: Inefficient fluency in SCH may arise from a more general initiation deficits that may partly account for these patients’ cognitive problems.

Cognitive inconsistency in bipolar patients is determined by increased intra-individual variability in initial phase of task performance

BACKGROUND Bipolar patients show high intra-individual variability during cognitive processing. However, it is not known whether there are a specific fluctuations of variability contributing to the overall high cognitive inconsistency. The objective was to compare dynamic profiles of patients and healthy controls to identify hypothetical differences and their associations with overall variability and processing speed. METHODS Changes of reaction times iSD during processing speed test performance over time was measured by dividing the iSD for whole task into four consecutive parts. Motor speed and cognitive effort were controlled. RESULTS Patients with BD exhibited significantly lower results regarding processing speed and higher intra-individual variability comparing with HC. The profile of intra-individual variability changes over time of performance was significantly different in BD versus HC groups: F(3, 207)=8.60, p<0.0001, ηp2=0.11. iSD of BD patients in the initial phase of performance was three times higher than in the last. There was no significant differences between four intervals in HC group. Inter-group difference in the initial part of the profiles was significant also after controlling for several cognitive and clinical variables. LIMITATIONS Applied computer version of Cognitive Speed Test was relatively new and, thus, replication studies are needed. Effect seen in the present study is driven mainly by the BD type I. CONCLUSIONS Patients with BD exhibits problems with setting a stimulus-response association in starting phase of cognitive processing. This deficit may negatively interfere with the other cognitive functions, decreasing level of psychosocial functioning, therefore should be explored in future studies.

The Food-Specific Serum IgG Reactivity in Major Depressive Disorder Patients, Irritable Bowel Syndrome Patients and Healthy Controls

There is an increasing amount of evidence which links the pathogenesis of irritable bowel syndrome (IBS) with food IgG hyperreactivity. Some authors have suggested that food IgG hyperreactivity could be also involved in the pathophysiology of major depressive disorder (MDD). The aim of this study was to compare levels of serum IgG against 39 selected food antigens between three groups of participants: patients with MDD (MDD group), patients with IBS (IBS group) and healthy controls (HC group). The study included 65 participants (22 in the MDD group, 22 in the IBS group and 21 in the HC group). Serum IgG levels were examined using enzyme-linked immunosorbent assay (ELISA). Medical records, clinical data and laboratory results were collected for the analysis. IgG food hyperreactivity (interpreted as an average of levels of IgG antibodies above 7.5 µg/mL) was detected in 28 (43%) participants, including 14 (64%) from the MDD group, ten (46%) from the IBS group and four (19%) from the HC group. We found differences between extreme IgG levels in MDD versus HC groups and in IBS versus HC groups. Patients with MDD had significantly higher serum levels of total IgG antibodies and IgG against celery, garlic and gluten compared with healthy controls. The MDD group also had higher serum IgG levels against gluten compared with the IBS group. Our results suggest dissimilarity in immune responses against food proteins between the examined groups, with the highest immunoreactivity in the MDD group. Further studies are needed to repeat and confirm these results in bigger cohorts and also examine clinical utility of IgG-based elimination diet in patients with MDD and IBS.

Quantitative and Qualitative Comparison of EEG-Based Neural Network Organization in Two Schizophrenia Groups Differing in the Duration of Illness and Disease Burden: Graph Analysis With Application of the Minimum Spanning Tree

The aim of this study was to compare neural network topology of 30 patients with first episode schizophrenia (FES) and 30 multiepisode schizophrenia (mean number of psychotic relapses =4 years, duration of illness >5 years) patients, who were assessed with graph theory methods. This comparison was designed to identify network differences, which might be assigned to the burden of a mental disease. To estimate functional connectivity, we applied the phase lag index algorithm and the minimum spanning tree (MST) for the characterization of network topology. Group comparison revealed significant between-group differences of maximal betweenness centrality and tree hierarchy in the beta-band and hierarchy in the gamma-band. MST results showed that in the beta-band the network of patients with longer duration of illness (LDI) was characterized by more centralized network, while subjects with short duration of illness (FES) showed more decentralized topology. Furthermore, in the gamma-band, our results suggest that illness duration can disturb the balance between overload prevention and large-scale integration in the brain network. A qualitative analysis proved that the topological displacement of hubs also differentiated the FES and LDI groups. Our findings suggest that the duration of illness significantly affects the topology of resting-state functional network, supporting the “disconnectivity hypothesis’ in schizophrenia.

Risk factors of anxiety and depressive symptoms in female patients experiencing intimate partner violence

OBJECTIVES The aim of the study was to find factors associated with higher severity of anxiety and depressive symptoms in female patients experiencing intimate partner violence (IPV). METHODS The study was conducted in six randomly selected primary healthcare centers in Lublin province. The HADS (Hospital Anxiety and Depression Scale) and a structured questionnaire designed by the authors were administered to a total of 350 consecutive female patients visiting a GP. Fully completed questionnaire forms were obtained from 200 women. 102 (51%) participants who confirmed experiencing IPV ultimately made up the study cohort. Sequential models were created using backward stepwise multiple regression to investigate the potential risk and the protective factors associated with higher severity of anxiety and depressive symptoms in the study group. RESULTS 68% and 56% of the participants respectively had positive scores on the HADS anxiety and depression subscales. Living in a small town or in the countryside was associated with higher scores on the anxiety subscale (b = -1.18, p = 0.003), but not on the depression subscale. Chronic physical illness (b = 2.42, p = 0.013; b = 2.86, p = 0.015), being unemployed (b = 0.58, p = 0.024; b = 0.69, p = 0.008), and exposure to economic violence (b = 3.97, p < 0.001; b = 3.88, p = 0.001) were associated with higher scores on both subscales of the HADS. The fact of receiving financial support (b = 2.67, p = 0.002; b = 2.68, p = 0.003) was a protective factor against both kinds of symptoms. Exposure to physical violence was associated with higher scores on the depression subscale (b = 3.09, p = 0.005), but not on anxiety subscale. CONCLUSIONS The type of violence and socioeconomic characteristics were more strongly associated with anxiety and depressive symptoms in women experiencing IPV than demographic variables.

Hyper-coherence and increased energy of gamma oscillations in patient with first onset schizophrenia and cerebral white matter damage

Abstract Background: According to current knowledge, gamma frequency is closely related to the functioning of neural networks underlying the basic activity of the brain and mind. Disorders in mechanisms synchronizing brain activity observed in patients diagnosed with schizophrenia are at the roots of neurocognitive disorders and psychopathological symptoms of the disease. Synchronization mechanisms are also related to the structure and functional effectiveness of the white matter. So far, not many analysis has been conducted concerning changes in the image of high frequency in patients with comorbid schizophrenia and white matter damage. The aim of this research was to present specific features of gamma waves in subjects with different psychiatric diagnoses and condition of brain structure. Methods: Quantitative analysis of an EEG record registered from a patient diagnosed with schizophrenia and comorbid white matter hyperintensities (SCH+WM), a patient with an identical diagnosis but without structural brain changes present in the MRI (SCH-WM) of a healthy control (HC). The range of gamma waves has been obtained by using analogue filters. In order to obtain precise analysis, gamma frequencies have been divided into three bands: 30-50Hz, 50-70Hz, 70-100Hz. Matching Pursuit algorithm has been used for signal analysis enabling assessing the changes in signal energy. Synchronization effectiveness of particular areas of the brain was measured with the aid of coherence value for selected pairs of electrodes. Results: The electrophysiological signals recorded for the SCH+WM patient showed the highest signal energy level identified for all the analyzed bands compared to the results obtained for the same pairs of electrodes of the other subjects. Coherence results revealed hipercompensation for the SCH+WM patient and her level differed substantially compared to the results of the other subjects. Conclusions: The coexistence of schizophrenia with white matter damage can significantly disturb parameters of neural activity with high frequencies. The paper discusses possible explanations for the obtained results.

Application of IT Methods for the Identification and Analysis of EEG Signals

This paper presents the possibility of using advanced IT tools for the identification and analysis of biological signals on the example of electroencephalographic tests. Identification and numerical analysis of EEG signals from a person suffering from epilepsy during and between seizures is presented.