bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dengue fever evolving into systemic lupus erythematosus and lupus nephritis: a case report
Authors: Rajadhyaksha A , Mehra S 
Published: February 2012

Dengue viremia may be the trigger for immune complex formation in patients who are predisposed to developing autoimmune disease. We report a rare case of dengue virus infection evolving into systemic lupus erythematosus (SLE) and lupus nephritis. To the best of our knowledge this is the first case of dengue fever evolving into lupus nephritis. A 22 year old female presented with having had high grade fever, skin rash, breathlessness, retro-orbital pain, abdominal pain, arthralgias and myalgias for 10 days. She tested positive for dengue immunoglobulin M (IgM). She was given supportive treatment and was subsequently discharged. Four weeks later she developed recurrent fever, arthralgia, rash and anasarca. She was suspected as having SLE with active lupus nephritis. Antinuclear antibody (ANA), and anti double stranded deoxyribonucleic acid (anti dsDNA) titers were positive and complements were low. Renal biopsy showed diffuse proliferative glomerulonephritis grade IV. She was treated with steroids and immunosuppressants to which she responded. Dengue viremia incites antibody production, which if excessive causes deposition of viral antigen-antibody immune complexes. This could possibly lead to renal tubular damage and glomerulonephritis in susceptible individuals. Dengue fever leading to development of glomerulonephritis is rarely seen. Our patient developed dengue fever and after a month presented with manifestations of SLE and lupus nephritis. Both dengue fever and SLE have common manifestations of fever, arthralgia, rash, leucopenia with thrombocytopenia and serositis. Bacterial and viral infections may act as a ‘trigger’ for starting or relapsing lupus activity in genetically predetermined individuals. In our case it may be possible that dengue virus could have triggered a dysfunctional immune response, resulting in the developing of autoimmunity and SLE with lupus nephritis.
Systemic complement profiling in multiple sclerosis as a biomarker of disease state
Authors: Ingram G , Hakobyan S , Hirst CL , Harris CL , Loveless S , Mitchell JP , Pickersgill TP , Robertson NP , Morgan BP 
Published: February 2012

Background: There is increasing evidence of significant and dynamic systemic activation and upregulation of complement in multiple sclerosis (MS), which may contribute to disease pathogenesis. Objective: We aimed to investigate the pathological role of complement in MS and the potential role for complement profiling as a biomarker of MS disease state. Methods: Key components of the classical, alternative and terminal pathways of complement were measured in plasma and cerebrospinal fluid (CSF) of patients with MS in different clinical phases of disease and in matched controls. Results: Increased plasma levels of C3 ( p<0.003), C4 ( p<0.001), C4a ( p<0.001), C1 inhibitor ( p<0.001), and factor H ( p<0.001), and reduced levels of C9 ( p<0.001) were observed in MS patients compared with controls. Combined profiling of these analytes produced a statistical model with a predictive value of 97% for MS and 73% for clinical relapse when combined with selected demographic data. CSF-plasma correlations suggested that source of synthesis of these components was both systemic and central. Conclusion: These data provide further evidence of alterations in both local and systemic expression and activation of complement in MS and suggest that complement profiling may be informative as a biomarker of MS disease, although further work is needed to determine its use in distinguishing MS from its differential.
Does interferon beta treatment exacerbate neuromyelitis optica spectrum disorder?
Authors: Kim Su-Hyun , Kim Woojun , Li Xue Feng , Jung In-Ja , Kim Ho Jin 
Published: February 2012

Objectives: Recent case reports and series have shown that patients with neuromyelitis optica (NMO) experience clinical deterioration under interferon beta (IFN-β) treatment. The objective of the present study was to evaluate whether and to what extent IFN-β exacerbates NMO spectrum disorders (NMOSD). Methods: We retrospectively reviewed the medical records of 40 patients with NMOSD who had been treated with IFN-β for more than 6 months and whose disease duration was more than 1 year at the initiation of IFN-β treatment. We evaluated their annualized relapse rates (ARR) and Expanded Disability Status Scale (EDSS) scores before and after IFN-β treatment. Results: In total, 95% of patients exhibited an ineffective or exacerbated response to IFN-β treatment and the mean ARR significantly increased after IFN-β treatment ( p = 0.002). The increased ARR > 50% under IFN-β treatment was observed in 20 patients (50%). The mean EDSS score significantly increased following IFN-β treatment ( p < 0.001). Conclusion: In patients with NMOSD, IFN-β treatment is not only ineffective for preventing relapses but also may even increase relapses significantly. Thus, a more careful diagnostic approach to differentiate NMO from multiple sclerosis and attention to decision of treatment is warranted for patients at high risk of NMO.
High Frequency EEG Activity during Sleep: Characteristics in Schizophrenia and Depression
Authors: Tekell Janet L. , Hoffmann Robert , Hendrickse William , Greene Robert W. , Rush A. John , Armitage Roseanne 
Published: February 2012

Previous studies indicate that high frequency power (>20Hz) in the electroencephalogram (EEG) are associated with feature binding and attention. It has been hypothesized that hallucinations and perceptual abnormalities might be linked to irregularities in fast frequency activity. This study examines the power and distribution of high frequency activity (HFA) during sleep in healthy control subjects and unmedicated patients with schizophrenia and depression. This is a post-hoc analysis of an archival database collected under identical conditions. Groups were compared using multivariate analyses of covariance (MANCOVA) using group frequency by stage analysis. A multiple regression analyzed the association between HFA power and clinical symptoms. Schizophrenic (SZ) and major depressive disorder (MDD) patients showed significantly greater high frequency (HF) power than healthy controls (HC) in all sleep stages (p<0.0001). SZs also exhibited significantly greater HF power than MDD patients in all sleep stages except wakefulness (W) (p<0.05). In all groups, gamma (35–45Hz) power was greater in W, decreased during slow wave sleep (SWS) and decreased further during rapid eye movement (REM). Beta 2 (20–35 Hz) power was greater in W and REM than in SWS. Only positive symptoms exhibited an association with HF power. Elevated HFA during sleep in unmedicated patients with SZ and MDD is associated with positive symptoms of illness. It is not clear how HFA would change in relation to clinical improvement, and further study is needed to clarify the association of HFA to the state/trait characteristics of SZ and MDD.
Discovery and Integrative Neuroscience
Authors: Koslow Stephen H. 
Published: February 2012

Hypothesis driven research has been shown to be an excellent model for pursuing investigations in neuroscience. The Human Genome Project demonstrated the added value of discovery research, especially in areas where large amounts of data are produced. Neuroscience has become a data rich field, and one that would be enhanced by incorporating the discovery approach. Databases, as well as analytical, modeling and simulation tools, will have to be developed, and they will need to be interoperable and federated. This paper presents an overview of the development of the field of neuroscience databases and associate tools: Neuroinformatics. The primary focus is on the impact of NIH funding of this process. The important issues of data sharing, as viewed from the perspective of the scientist and private and public funding organizations, are discussed. Neuroinformatics will provide more than just a sophisticated array of information technologies to help scientists understand and integrate nervous system data. It will make available powerful models of neural functions and facilitate discovery, hypothesis formulation and electronic collaboration.
Latency Differences of N20, P40/N60, P100/N140 SEP Components after Stimulation of Proximal and Distal Sites of the Median Nerve
Authors: Hada Y. 
Published: February 2012

The latencies of SEP N20, P40, N60, P100, and N140 components were measured after stimulation of two different sites, and the differences in relation to conduction velocity and their central functions are discussed. Subjects were 8 healthy right-handed males (age 22–31 years, height 164–184 cm). An electrical pulse of 200μ sec duration with an intensity of 2 times the motor threshold was delivered to the wrist and to the elbow alternately at a random rate of 0.1 to 0.3 Hz. Recording electrodes were Cz', C3′, and C4′ referenced to linked ears. Analysis time was 50 msec before and 450 msec after the stimulus. The band pass was 0.5 Hz to 2 kHz. Subjects were asked to mentally count the number of stimuli. The averaging was interrupted after every 16 to 24 stimuli and checked to determine whether the subject was attentive to the stimuli by verifying the number of stimuli counted. A total of 100 responses each from elbow and wrist stimuli were averaged. Differences in peak latency between elbow and wrist stimuli for N20, P40, N60, P100, and N140 were 3.7 ± 0.7 msec, 5.0 ± 1.8, 4.3 ± 1.2, 8.1 ± 6.3, and 7.4 ± 2.6 msec, respectively. According to the latency differences, SEP components can be divided into 3 groups: the shortest difference for N20, medium difference for P40 and N60 and longest difference for P100 and N140. Similar latency differences and similar potential distribution for P40 and N60, and for P100 and N140, and their differences from N20 confirmed that each of N20, P40/N60, and P100/N140 has a different function centrally. In addition, central processing time was longer with the more distal site stimulation.
Screening of EEG Referrals by Neurologists Leads to Improved Healthcare Resource Utilization
Authors: Gurbani Neepa S. , Gurbani Suresh G. , Mittal Meenu , McGuckin Jeanne S. , Tin Sue Nwe , Tehrani Keo , Chayasirisobhon Sirichai 
Published: February 2012

The objective of this study was to determine if screening by a neurologist of all non-neurologist electroencephalogram (EEG) referrals prior to approval reduces the number of inappropriate requests. This retrospective survey included 600 consecutive EEG requisitions referred to the Anaheim Kaiser Permanente Neurodiagnostic Laboratory to rule out epilepsy. Patients with established epilepsy referred for a repeat EEG for management issues were excluded. Three groups of EEG referrals were analyzed. Each group consisted of 200 EEGs (100 pediatric and 100 adult EEGs). The first group was referred directly by non-neurologists, the second group was referred by non-neurologists with scrutiny by a neurologist, and the third group was referred by a neurologist directly. In the pediatric group, the ratio of abnormal EEG vs normal EEG was 1: 3.35 in the first group, 1: 0.69 in the second group and 1: 0.33 in the third group. In the adult group, the ratio of abnormal EEGs vs normal EEGs was 1: 2.23 in the first group, 1: 0.82 in the second group and 1: 0.45 in the third group. In the combined pediatric and adult groups, the ratio of abnormal EEG vs normal EEG was 1: 2.70 in the first group, 1: 0.75 in the second group and 1: 0.39 in the third group. There was a significant difference between the results of the EEGs ordered by non-neurologists directly versus non-neurologists with scrutiny (p=.334, chi-square test). Scrutiny by a neurologist of EEG referrals from non-neurologists led to a reduction in the number of normal EEG results. This suggests that inappropriate EEG requests for non-epileptic patients that yield normal EEG results are significantly reduced with scrutiny. This can help reduce the indiscriminate overuse of EEGs by non-neurologists thereby leading to better utilization of healthcare resources.
Quantitative EEG Analysis before and after Liver Transplantation
Authors: Reeves Roy R. , Struve Frederick A. , Burke Randy S. 
Published: February 2012

Quantitative EEG has been shown to be effective for the assessment of hepatic encephalopathy. Initial quantitative EEG studies of patients who had undergone liver transplantation demonstrated improvement of frequency and the alpha-theta power ratio in the occipital area. This study involved the assessment of comprehensive quantitative EEG variables over the entire cortex following transplantation. Fourteen subjects underwent EEG recording prior to transplantation. Eight (6 without complications and 2 having problems with rejection) underwent the same recording between 3 and 6 months following transplantation. For all subjects, EEG variables showing significant changes from pre- to post-transplantation included posterior alpha frequency (increase, p ≤ .03), central theta absolute power (decrease, p ≤ .03), theta relative power over anterior, central, and posterior regions (decrease, p ≤ .02, p ≤ .01, p ≤ .03, respectively), posterior beta absolute power (increase, p ≤ .01), and central and posterior beta relative power (increase, p ≤ .04, p ≤ .04, respectively). When the two subjects with complications were removed from the analyses, these variables and also anterior alpha absolute power (increase, p ≤ .02), alpha relative power over anterior, central, and posterior regions (increase, p ≤ .05, p ≤ .03, p ≤ .04, respectively), and anterior and central theta absolute power (decrease, p ≤ .05, p ≤ .04, respectively) showed significant pre- to post-transplant changes. In conclusion, a combination of quantitative EEG parameters which are most affected by liver transplantation might provide an effective assessment tool for determining and quantitatively monitoring the cerebral status of post-transplant patients.
qEEG Monitoring of Alzheimer's Disease Treatment: A Preliminary Report of Three Case Studies
Authors: Sneddon Robert , Shankle William Rodman , Hara Junko , Rodriquez Anthony , Hoffman Donald , Saha Utpal 
Published: February 2012

Previous research has shown that quantitative electroencephalography (qEEG) can monitor treatment of Alzheimer's Disease (AD). This study investigated the ability of a qEEG measure based on EEG variance, combined with a delayed recognition memory task, to measure treatment effects on patients with AD. Three AD patients with very mild AD (CDR=0.5, FAST stage 3) were monitored with task specific EEG at multiple time points before and after medication treatment. Patients had their EEG recorded while performing a recognition memory task. A measure of (normalized) variance was applied to the EEG data. To the extent possible, the subjects received this treatment monitoring multiple times. These patients were monitored a total of 14 times, which yielded 11 measurements of qEEG change during the course of treatment. The direction of change in patients' qEEG values agreed with patients' medication treatment on 10 out of 11 occasions, p < 0.006 (binomial test) and was more accurate than monitoring with the relative theta power, p < 0.05. The results of this monitoring also showed that the qEEG measure accurately reflected treatment in a dose dependent manner. These results were independent of the specific medication monitored; Galantamine, Memantine, Nicotine, and Rivastigmine. In conclusion, this qEEG method may be useful for measuring AD treatment responses.
EEG Topography and Tomography (LORETA) in the Classification and Evaluation of the Pharmacodynamics of Psychotropic Drugs
Authors: Saletu Bernd , Anderer Peter , Saletu-Zyhlarz Gerda M. 
Published: February 2012

By multi-lead computer-assisted quantitative analyses of human scalp-recorded electroencephalogram (QEEG) in combination with certain statistical procedures (quantitative pharmaco-EEG) and mapping techniques (pharmaco-EEG mapping or topography), it is possible to classify psychotropic substances and objectively evaluate their bioavailability at the target organ, the human brain. Specifically, one may determine at an early stage of drug development whether a drug is effective on the central nervous system (CNS) compared with placebo, what its clinical efficacy will be like, at which dosage it acts, when it acts and the equipotent dosages of different galenic formulations. Pharmaco-EEG maps of neuroleptics, antidepressants, tranquilizers, hypnotics, psychostimulants and nootropics/cognition-enhancing drugs will be described. Methodological problems, as well as the relationships between acute and chronic drug effects, alterations in normal subjects and patients, CNS effects and therapeutic efficacy will be discussed. Imaging of drug effects on the regional brain electrical activity of healthy subjects by means of EEG tomography such as low-resolution electromagnetic tomography (LORETA) has been used for identifying brain areas predominantly involved in psychopharmacological action. This will be shown for the representative drugs of the four main psychopharmacological classes, such as 3 mg haloperidol for neuroleptics, 20 mg citalopram for antidepressants, 2 mg lorazepam for tranquilizers and 20 mg methylphenidate for psychostimulants. LORETA demonstrates that these psychopharmacological classes affect brain structures differently. By considering these differences between psychotropic drugs and placebo in normal subjects, as well as between mental disorder patients and normal controls, it may be possible to choose the optimum drug for a specific patient according to a key-lock principle, since the drug should normalize the deviant brain function. Thus, pharmaco-EEG topography and tomography are valuable methods in human neuropsychopharmacology, clinical psychiatry and neurology.
Event Related Potentials and fMRI in Neuropsychopharmacology
Authors: Pogarell Oliver , Mulert Christoph , Hegerl Ulrich 
Published: February 2012

Event related potentials (ERP) are important clinical and research instruments in neuropsychiatry, particularly due to their strategic role for the investigation of brain function. These techniques are often underutilized in the evaluation of neurological and psychiatric disorders, but nevertheless they can be most useful and highly effective in the diagnostic workup of a wide range of neuropsychiatric disorders as well as in monitoring the course of the disorders and the prediction of treatment responses. ERP are noninvasive instruments that directly reflect cortical neuronal activity. Cortical neuronal dysfunction plays a major role in variable neuropsychiatric disorders, and a change in cortical activity under medication might reflect treatment response and could be useful for monitoring drug effects. ERP are the only methods with a sufficiently high time resolution for the analysis of the dynamic patterns of neuronal brain activity, e.g., synchronization and desynchronization, oscillations, coherence, gamma band activity, latency of event related activity, etc., which are crucial for a deeper understanding of functional (neurophysiological) correlates of cognitive, emotional and behavioral disturbances in neuropsychiatric patients. Methodological advances have further improved and strengthened the position of ERP concerning research and clinical application. The usefulness and applicability of ERP in determining and monitoring clinico-pharmacological effects will be summarized mainly by focussing on the auditory evoked P300 and the N1/P2 component of auditory evoked potentials. Owing to important recent developments in the field of brain functional diagnostics the combination of neurophysiological techniques and functional magnetic resonance imaging (fMRI) will be included.
Benign Childhood Epilepsy with Centra-Temporal Spikes: Quantitative EEG and the Wechsler Intelligence Scale for Children (WISC-III)
Authors: Tedrus Gloria M. A. S. , Fonseca Lineu C. , Tonelotto Josiane M. F. , Costa Rebeca M. , Chiodi Marcelo G. 
Published: February 2012

Benign childhood epilepsy with centro-temporal spikes (BECTS) is a form of focal idiopathic epilepsy, with seizure remission by the age of 18. Recent studies have suggested that some children with BECTS can suffer from deficits of memory, attention and learning ability and in auditory-verbal and performance sub-tests. On the other hand, alterations in the baseline brain electrical activity determined by using the quantitative electroencephalogram (qEEG) have been described. The objective of this study was to evaluate the absolute and relative powers in the delta, theta, alpha and beta bands of the qEEG in children with BECTS, and their relation to IQ measurements (WISC-III). Twenty-six 8 to 11-year-old children with BECTS were studied, paired with a control group of healthy children according to age and gender. It was shown that the absolute delta and theta powers were statistically greater in the children with BECTS than in the control group, at almost all the electrodes. In the children with BECTS, a negative correlation (Pearson's correlation test) was observed at various electrodes between the absolute delta and theta powers and the performance IQ. These data indicate a possible relationship between maturational disturbance in the brain electrical activity development and the tendency for inferior cognitive performance in children with BECTS.
The Development of Memory Trace Depending on the Number of the Standard Stimuli
Authors: Matuoka Takashi , Yabe Hirooki , Shinozaki Naoko , Sato Yasuharu , Hiruma Tomiharu , Ren Asai , Hara Etsuko , Kaneko Sunao 
Published: February 2012

The mismatch negativity (MMN) component of the event-related potentials reflects the automatic detection mechanism of sound change. MMN is elicited by a neuronal mismatch process between deviant (infrequent) auditory input and the sensory memory trace of the standard (frequent) stimuli. Although many previous studies have investigated MMN to reveal the sensory memory mechanism, the development of memory representation still remains unclear, in particular, the topographical aspect of the trace-development in sensory memory has not been clarified. We measured the frontal and the temporal MMN components, respectively when the sound trace was developed as the number of standard stimuli was changed to 1, 3, 5 or 7. In this experiment, the inter-train interval was 15 sec. The stimulus train with the different frequency of 800Hz, 900Hz, or 1000Hz was repeatedly presented. Thus, we reduced the influence of the previous train. For the first time, we found not only the enhanced amplitude but also the shortened latency for both MMN components when the number of standard stimuli was increased. These findings indicate that both frontal and temporal MMN components reflect the development of memory trace depending on the number of standard stimuli.