82 research outputs found

    Resting-State Quantitative Electroencephalography Reveals Increased Neurophysiologic Connectivity in Depression

    Get PDF
    Symptoms of Major Depressive Disorder (MDD) are hypothesized to arise from dysfunction in brain networks linking the limbic system and cortical regions. Alterations in brain functional cortical connectivity in resting-state networks have been detected with functional imaging techniques, but neurophysiologic connectivity measures have not been systematically examined. We used weighted network analysis to examine resting state functional connectivity as measured by quantitative electroencephalographic (qEEG) coherence in 121 unmedicated subjects with MDD and 37 healthy controls. Subjects with MDD had significantly higher overall coherence as compared to controls in the delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–12 Hz), and beta (12–20 Hz) frequency bands. The frontopolar region contained the greatest number of “hub nodes” (surface recording locations) with high connectivity. MDD subjects expressed higher theta and alpha coherence primarily in longer distance connections between frontopolar and temporal or parietooccipital regions, and higher beta coherence primarily in connections within and between electrodes overlying the dorsolateral prefrontal cortical (DLPFC) or temporal regions. Nearest centroid analysis indicated that MDD subjects were best characterized by six alpha band connections primarily involving the prefrontal region. The present findings indicate a loss of selectivity in resting functional connectivity in MDD. The overall greater coherence observed in depressed subjects establishes a new context for the interpretation of previous studies showing differences in frontal alpha power and synchrony between subjects with MDD and normal controls. These results can inform the development of qEEG state and trait biomarkers for MDD

    Small-World Network Analysis of Cortical Connectivity in Chronic Fatigue Syndrome using EEG

    Get PDF
    The primary aim of this thesis was to explore the relationship between electroencephalography (qEEG) and brain system dysregulation in people with Chronic Fatigue Syndrome (CFS). EEG recordings were taken from an archival dataset of 30 subjects, 15 people with CFS and 15 healthy controls (HCs), evaluated during an eye-closed resting state condition. Exact low resolution electromagnetic tomography (eLORETA) was applied to the qEEG data to estimate cortical sources and perform functional connectivity analysis assessing the strength of time-varying signals between all pairwise cortical regions of interest. To obtain a comprehensive view of local and global processing, eLORETA lagged coherence was computed on 84 regions of interest representing 42 Brodmann areas for the left and right hemispheres of the cortex, for the delta (1-3 Hz) and alpha-1 (8-10 Hz) and alpha-2 (10-12 Hz) frequency bands. Graph theory analysis of eLORETA coherence matrices for each participant was conducted to derive the “small-worldness” index, a measure of the optimal balance between the functional integration (global) and segregation (local) properties known to be present in brain networks. The data were also associated with the cognitive impairment composite score on the DePaul Symptom Questionnaire (DSQ), a patient-reported symptom outcome measure of frequency and severity of cognitive symptoms. Results showed that small-worldness for the delta band was significantly lower for patients with CFS compared to HCs. Small-worldness for delta, alpha-1, and alpha-2 were associated with higher cognitive composite scores on the DSQ. Finally, small-worldness in all 3 frequency bands correctly distinguished those with CFS from HCS with a classification rate of nearly 87 percent. These preliminary findings suggest disease processes in CFS may be functionally disruptive to small-world characteristics, especially in the delta frequency band, resulting in cognitive impairments. In turn, these findings may help to confirm a biological basis for cognitive symptoms, providing clinically relevant diagnostic indicators, and characterizing the neurophysiological status of people with CFS

    Functional and structural neuroimaging in Huntington’s disease

    Get PDF
    Huntington’s disease (HD) is a progressive autosomal dominant neurodegenerative disorder with a broad spectrum of clinical features. The disease is caused by a mutation in the Huntingtin gene (HTT) on the short arm of chromosome 4. In September 2015, the first-in-human study looking into the safety of an intrathecally administered antisense oligonucleotide therapy to reduce mutant HTT (mHTT) protein was launched in HD patients, where the drug proved to be safe and the intended mHTT lowering was demonstrated. The aim of this thesis is to find biomarkers corresponding with disease state and measuring progression in different stages of HD, which in turn can be used as suitable objective surrogate clinical trial endpoints. We put special emphasis on longitudinal study designs, as these provide the most useful clinical progression and parameter change associations. Although previous neuroimaging studies have shown potential markers, findings remain inconsistent or lacking association with disease state. As such, further exploration of neuroimaging techniques is of great relevance. Using different approaches to evaluate the potential usefulness of specific markers, we demonstrate biomarkers that may assist in the objective assessment of a potential disease-modifying intervention. LUMC / Geneeskund

    Investigating the relationship between cholinergic system integrity and Parkinson’s disease symptoms using MRI and EEG

    Get PDF
    Cholinergic cells of the basal forebrain (cBF) and pedunculopontine nucleus (PPN) are implicated in Parkinson’s disease (PD), but current understanding of their role in PD symptomology is limited. Neuropathological and recent in vivo imaging research implies that cBF and PPN degeneration is associated with PD cognitive and mobility impairments. There remains a need to identify and validate widely accessible markers of cholinergic system degeneration to better understand its contribution to these symptoms. The aim of this thesis was to investigate how structural changes in the cBF and PPN relate to cortical activity and cognitive and mobility performance in people with PD, people with mild cognitive impairment (MCI), and healthy age-matched controls. T1 and diffusion-weighted images were used in combination with stereotactic maps of the cBF and PPN to extract volumetric and diffusivity metrics from these regions as in vivo surrogate markers of structural integrity. These structural measures were assessed for their relationship with resting-state EEG, and cognitive and functional mobility performance. People with PD showed reduced cBF volumes compared to healthy controls, and elevated PPN diffusivity compared to people with MCI. Subregional cBF volumes correlated with EEG changes in the theta-alpha range in people with PD and people with MCI. Volume loss in the cBF was also shown to mediate the relationship between executive function and Timed Up and Go dual-task performance in people with PD. PPN diffusivity metrics demonstrated correlations with cognitive performance and EEG changes in the alpha range in people with PD, and in the beta-gamma range in people with MCI. Cortical activity measured with EEG may hold physiological relevance for structural changes occurring in the cBF and PPN. Volumetric loss in the cBF may impair the attentional-executive control of mobility functions. Elevated PPN diffusivity may impair attentional performance during tasks that require sensorimotor integration

    Quantitative Electroencephalography and genetics as biomarkers of dementia in Parkinson’s disease

    Get PDF
    The importance of cognitive decline in Parkinson’s disease (PD), which eventually progresses to dementia (PD-D) in the majority of surviving patients, has been widely recognised during the last decade. PD-D is associated with a twofold increase in mortality, increased caregiver strain and increased healthcare costs. Thus, early and correct identification of the PD patients with a risk of dementia is a challenging problem of neurology, which has led to the suggestion of various markers of cognitive decline in PD. If validated, these markers would offer the opportunity for disease modification and therapeutic intervention at a critical early stage of the illness, when the viable neuronal population is greater. The focus of this thesis was to assess how various factors - quantitative electroencephalography (qEEG) changes, genetics, deep brain stimulation (DBS), olfactory function, etc. – may be related with the risk of cognitive decline in PD patients. We performed four clinical studies with various design. These studies included PD patients who were dementia-free on inclusion, and control participants. Principal findings are the following: (1) increase of global median relative power theta (4–8 Hz), executive and working memory dysfunction are independent prognostic markers of severe cognitive decline in PD patients over a period of 3 years. (2) DBS of the subthalamic nuclei in a group of PD patients with mean age 63.2 years, in comparison with a group of younger patients (52.9 years), causes higher incidence of psychiatric events over 2 years of observation. However, these events were transient and did not outweigh the benefits of surgery. (3) Worsening of verbal fluency performance is an early cognitive outcome of DBS of the subthalamic nuclei in PD patients. (4) Among early appearing non-motor signs of Parkinson’s disease, alteration of olfaction but not EEG spectrum correlates with motor function. (5) A composite score approach seems to be a realistic goal in the search for biomarkers of severe cognitive decline

    Cognitive Assessment and Rehabilitation of subjects with Traumatic Brain Injury

    Get PDF
    This thesis regards the study and the development of new cognitive assessment and rehabilitation techniques of subjects with traumatic brain injury (TBI). In particular, this thesis i) provides an overview about the state of art of this new assessment and rehabilitation technologies, ii) suggests new methods for the assessment and rehabilitation and iii) contributes to the explanation of the neurophysiological mechanism that is involved in a rehabilitation treatment. Some chapters provide useful information to contextualize TBI and its outcome; they describe the methods used for its assessment/rehabilitation. The other chapters illustrate a series of experimental studies conducted in healthy subjects and TBI patients that suggest new approaches to assessment and rehabilitation. The new proposed approaches have in common the use of electroencefalografy (EEG). EEG was used in all the experimental studies with a different purpose, such as diagnostic tool, signal to command a BCI-system, outcome measure to evaluate the effects of a treatment, etc. The main achieved results are about: i) the study and the development of a system for the communication with patients with disorders of consciousness. It was possible to identify a paradigm of reliable activation during two imagery task using EEG signal or EEG and NIRS signal; ii) the study of the effects of a neuromodulation technique (tDCS) on EEG pattern. This topic is of great importance and interest. The emerged founding showed that the tDCS can manipulate the cortical network activity and through the research of optimal stimulation parameters, it is possible move the working point of a neural network and bring it in a condition of maximum learning. In this way could be possible improved the performance of a BCI system or to improve the efficacy of a rehabilitation treatment, like neurofeedback

    Examination of the Curriculum Knowledge Levels of Pre-Service Teachers in Terms of Different Variables

    Get PDF
    The teaching profession is an area of expertise that combines many professional and academic competences. While all of these competences are important for the quality of learning-teaching processes, the curriculum and content knowledge that teachers are expected to have is one of the main characteristics that are directly determinative in achieving the learning objectives. The aim of this study was to examine the pre-service teachers' knowledge of curriculum in terms of different variables. The study group of the study, which was conducted according to the descriptive research model, consisted of 237 students in the 4th grade of the faculty in 2018-2019 academic year. In the study, the pre-service teachers' general curriculum knowledge, the average points they received from curriculum development questions and the average points they received only from the questions related to the curriculum in their field of study were handled. As a result of the findings, it was seen that pre-service teachers' curriculum knowledge their field showed a significant difference in favor of female teacher candidates. Also, it was observed that the average of all three points of pre-service teachers differed significantly according to their branches and general curriculum knowledge differed significantly according to their branches

    A role for heritable transcriptomic variation in maize adaptation to temperate environments

    Get PDF
    Background: Transcription bridges genetic information and phenotypes. Here, we evaluated how changes in transcriptional regulation enable maize (Zea mays), a crop originally domesticated in the tropics, to adapt to temperate environments. Result: We generated 572 unique RNA-seq datasets from the roots of 340 maize genotypes. Genes involved in core processes such as cell division, chromosome organization and cytoskeleton organization showed lower heritability of gene expression, while genes involved in anti-oxidation activity exhibited higher expression heritability. An expression genome-wide association study (eGWAS) identified 19,602 expression quantitative trait loci (eQTLs) associated with the expression of 11,444 genes. A GWAS for alternative splicing identified 49,897 splicing QTLs (sQTLs) for 7614 genes. Genes harboring both cis-eQTLs and cis-sQTLs in linkage disequilibrium were disproportionately likely to encode transcription factors or were annotated as responding to one or more stresses. Independent component analysis of gene expression data identified loci regulating co-expression modules involved in oxidation reduction, response to water deprivation, plastid biogenesis, protein biogenesis, and plant-pathogen interaction. Several genes involved in cell proliferation, flower development, DNA replication, and gene silencing showed lower gene expression variation explained by genetic factors between temperate and tropical maize lines. A GWAS of 27 previously published phenotypes identified several candidate genes overlapping with genomic intervals showing signatures of selection during adaptation to temperate environments. Conclusion: Our results illustrate how maize transcriptional regulatory networks enable changes in transcriptional regulation to adapt to temperate regions
    corecore