scholarly journals Early EEG and behavioral alterations in Dravet mice

2020 ◽  
Author(s):  
Saja Fadila ◽  
Shir Quinn ◽  
Ana Turchetti Maia ◽  
Daniel Yakubovich ◽  
Karen L. Anderson ◽  
...  

AbstractDravet Syndrome (Dravet) is a severe childhood epileptic encephalopathy. The disease begins around the age of six months, with a febrile stage, characterized by febrile seizures with otherwise normal development. By the end of the first year of life, the disease progresses to the worsening stage, featuring recurrent intractable seizures and the appearance of additional comorbidities, including global developmental delay, cognitive deficits, hyperactivity and motor problems. Later, in early school years, Dravet reaches the stabilization stage, in which seizure burden decreases, while Dravet-associated comorbidities persist. Dravet syndrome mouse models (DS) faithfully recapitulate the three stages of the human syndrome. Here, we performed power spectral analyses of background EEG activity in DS and their wild-type (WT) littermates, demonstrating disease stage-related alterations. Specifically, while the febrile stage activity resembled that of WT mice, we observed a marked reduction in total power during the worsening stage and a smaller reduction during the stabilization stage. Moreover, low EEG power at the worsening stage correlated with increased risk for premature death, suggesting that such measurements can potentially be used as a marker for Dravet severity. With normal development at the febrile stage and the presentation of developmental delay at the worsening stage, the contribution of recurrent seizures to the emergence of Dravet-associated comorbidities is still debated. Thus, we further characterized the behavior of WT and DS mice during the different stages of Dravet. At the febrile stage, despite their normal background EEG patterns, DS mice already demonstrated motor impairment and hyperactivity in the open field, that persisted to the worsening and stabilization stages. Conversely, clear evidence for deficits in working memory emerged later in life, during the worsening stage. These results indicate that despite the mild epilepsy at the febrile stage, DS development is already altered, suggesting that the pathophysiological mechanisms governing the appearance of some Dravet behavioral comorbidities may be independent of the epileptic phenotype.HighlightsReduction in background EEG power in DravetLow EEG power correlates with the risk of premature deathMotor deficits and hyperactivity are evident as early as the febrile stageCognitive deficits and detection of increased anxiety begin at the worsening stage

1981 ◽  
Vol 20 (03) ◽  
pp. 169-173
Author(s):  
J. Wagner ◽  
G. Pfurtscheixer

The shape, latency and amplitude of changes in electrical brain activity related to a stimulus (Evoked Potential) depend both on the stimulus parameters and on the background EEG at the time of stimulation. An adaptive, learnable stimulation system is introduced, whereby the subject is stimulated (e.g. with light), whenever the EEG power is subthreshold and minimal. Additionally, the system is conceived in such a way that a certain number of stimuli could be given within a particular time interval. Related to this time criterion, the threshold specific for each subject is calculated at the beginning of the experiment (preprocessing) and adapted to the EEG power during the processing mode because of long-time fluctuations and trends in the EEG. The process of adaptation is directed by a table which contains the necessary correction numbers for the threshold. Experiences of the stimulation system are reflected in an automatic correction of this table. Because the corrected and improved table is stored after each experiment and is used as the starting table for the next experiment, the system >learns<. The system introduced here can be used both for evoked response studies and for alpha-feedback experiments.


2021 ◽  
Author(s):  
N. Layer ◽  
L. Sonnenberg ◽  
E. Pardo González ◽  
J. Benda ◽  
H. Lerche ◽  
...  

AbstractDravet syndrome (DS) is a developmental epileptic encephalopathy mainly caused by functional NaV1.1 haploinsufficiency in interneurons (IN). Recently, a new conditional mouse model expressing the recurrent human p.A1783V missense variant has become available. Here we provide an electrophysiological characterization of this variant in tsA201 cells, revealing both altered voltage-dependence of activation and slow inactivation without reduced sodium peak current density. Simulating IN excitability in a Hodgkin-Huxley one-compartment model suggested surprisingly similar firing deficits for Scn1aA1783V and full haploinsufficiency as caused by heterozygous truncation variants. Impaired NaVA1783V channel activation was predicted to have a significantly larger impact on channel function than altered slow inactivation and is therefore proposed as the main mechanism underlying IN dysfunction. The computational model was validated in cortical organotypic slice cultures derived from conditional Scn1aA1783V mice. Pan-neuronal activation of the p.A1783V variant in vitro confirmed the predicted IN firing deficit while demonstrating normal excitability of pyramidal neurons. Taken together these data demonstrate that despite maintained physiological peak currents density LOF gating properties may match effects of full haploinsufficiency on neuronal level, thereby causing DS.HighlightsNaV1.1A1783V alters voltage-dependence of activation and slow inactivation while not affecting fast inactivation.Depolarizing and hyperpolarizing shifts of activation and slow inactivation curves result in combined channel loss of function (LOF).Simulations of NaV1.1A1783V interneuronal properties indicate reduced action potential firing rates comparable to full SCN1A haploinsufficiency, which is often found in Dravet syndrome.In silico modelling identifies impaired channel activation as the predominant mechanism of channel LOF.Panneuronal induction of Scn1a+/A1783V in a cortical slice culture model confirms restriction of loss of function and its restriction to interneurons.


SLEEP ◽  
2019 ◽  
Vol 42 (7) ◽  
Author(s):  
Sarah L Appleton ◽  
Andrew Vakulin ◽  
Angela D’Rozario ◽  
Andrew D Vincent ◽  
Alison Teare ◽  
...  

AbstractStudy ObjectivesQuantitative electroencephalography (EEG) measures of sleep may identify vulnerability to obstructive sleep apnea (OSA) sequelae, however, small clinical studies of sleep microarchitecture in OSA show inconsistent alterations. We examined relationships between quantitative EEG measures during rapid eye movement (REM) and non-REM (NREM) sleep and OSA severity among a large population-based sample of men while accounting for insomnia.MethodsAll-night EEG (F4-M1) recordings from full in-home polysomnography (Embletta X100) in 664 men with no prior OSA diagnosis (age ≥ 40) were processed following exclusion of artifacts. Power spectral analysis included non-REM and REM sleep computed absolute EEG power for delta, theta, alpha, sigma, and beta frequency ranges, total power (0.5–32 Hz) and EEG slowing ratio.ResultsApnea–hypopnea index (AHI) ≥10/h was present in 51.2% (severe OSA [AHI ≥ 30/h] 11.6%). In mixed effects regressions, AHI was positively associated with EEG slowing ratio and EEG power across all frequency bands in REM sleep (all p < 0.05); and with beta power during NREM sleep (p = 0.06). Similar associations were observed with oxygen desaturation index (3%). Percentage total sleep time with oxygen saturation <90% was only significantly associated with increased delta, theta, and alpha EEG power in REM sleep. No associations with subjective sleepiness were observed.ConclusionsIn a large sample of community-dwelling men, OSA was significantly associated with increased EEG power and EEG slowing predominantly in REM sleep, independent of insomnia. Further study is required to assess if REM EEG slowing related to nocturnal hypoxemia is more sensitive than standard PSG indices or sleepiness in predicting cognitive decline.


2018 ◽  
Author(s):  
Mattia Chini ◽  
Christoph Lindemann ◽  
Jastyn A. Pöpplau ◽  
Xiaxia Xu ◽  
Joachim Ahlbeck ◽  
...  

SUMMARYCognitive deficits, core features of mental illness, largely result from dysfunction of prefrontal-hippocampal networks. This dysfunction emerges already during early development, before a detectable behavioral readout, yet the cellular elements controlling the abnormal maturation are still unknown. Combining in vivo electrophysiology and optogenetics with neuroanatomy and pharmacology in neonatal mice mimicking the dual genetic - environmental etiology of psychiatric disorders, we identified pyramidal neurons in layer II/III of the prefrontal cortex as key elements causing disorganized oscillatory entrainment of local circuits in beta-gamma frequencies. Their abnormal firing rate and timing result from sparser dendritic arborization and lower spine density. Pharmacological modulation of aberrantly hyper-mature microglia rescues morphological, synaptic and functional neuronal deficits and restores the early circuit function. Elucidation of the cellular substrate of developmental miswiring related to later cognitive deficits opens new perspectives for identification of neurobiological targets, amenable to therapies.HighlightsMice mimicking the etiology of mental illness have dysregulated prefrontal networkStructural and synaptic deficits cause abnormal rate and timing of pyramidal firingWeaker activation of prefrontal circuits results from deficits of pyramidal neuronsRescue of microglial function restores developing prefrontal circuits


2019 ◽  
Author(s):  
Yanfang Peipei Zhu ◽  
Tobias Eggert ◽  
Daniel J. Araujo ◽  
Pandurangan Vijayanand ◽  
Christian H. Ottensmeier ◽  
...  

ABSTRACTUnderstanding neutrophil heterogeneity and its relationship to disease progression has become a recent focus of cancer research. Indeed, several studies have identified neutrophil subpopulations associated with pro- or anti-tumoral functions. However, this work has been hindered by the lack of widely-accepted markers with which to define neutrophil subpopulations. To identify markers of neutrophil heterogeneity in cancer, we utilized single-cell cytometry by time-of-flight (CyTOF) coupled with high-dimensional analysis on blood samples from treatment-naïve, melanoma patients. Our efforts allowed us to identify 7 blood-neutrophil clusters, including 2 previously identified individual populations. Interrogation of these neutrophil subpopulations revealed a positive trend between specific clusters and disease stage. Finally, we recapitulated these 7 blood-neutrophil populations via flow cytometry and found that they exhibit diverse capacities for phagocytosis and reactive oxygen species (ROS) production in vitro. In summary, our data provide a refined consensus on neutrophil-heterogeneity markers, enabling a prospective functional evaluation in patients with solid tumors.KEY POINTSCyTOF analysis reveals 7 blood neutrophil clusters correlating with melanoma stage in treatment-naïve patients.Neutrophil clusters by unbiased-calling are recapitulated by flow cytometry and harbor diverse phagocytic and ROS-producing capacities.


2020 ◽  
Vol 11 (1) ◽  
pp. 63-66
Author(s):  
Nasreen Islam ◽  
Sayeeda Kabir ◽  
Fauzia Mohsin ◽  
Sharmin Mahbuba ◽  
Bedowra Zabeen ◽  
...  

Background: Congenital hypothyroidism is one of the most common preventable causes of mental retardation. Early diagnosis and initiation of treatment is fundamental for optimal neuro-developmental outcome in children with congenital hypothyroidism. Thyroid hormones play crucial role in early neuro-development especially in the first 2-3 years of life. If left untreated or delayed initiation of treatment in congenital hypothyroidism results in neurological and psychological deficits. Aim of this study was to assess neuro-developmental status of children with congenital hypothyroidism who were on treatment (levo-thyroxine) started at different ages. Methods: This cross-sectional study was done at paediatric endocrine outpatient department (OPD) and child development centre (CDC), BIRDEM General Hospital. Children with congenital hypothyroidism presenting at different ages who were followed up at pediatric endocrine OPD between January 2014 and January 2015 were included in the study.Their functional status in different domains were studied by rapid neuro-developmental assessment (RNDA) in CDC. Children with Down syndrome and perinatal asphyxia were excluded. Results: Neuro-developmental assessment was done in 34 children (male 21, female 13). Mean age during assessment was 36 months (standard deviation 18.56). Eighteen patients (53%) were diagnosed in BIRDEM General Hospital and rest 16 (47%) were diagnosed outside BIRDEM General Hospital. Patients were grouped into 4 on the basis of age of diagnosis and start of treatment: group I (age 0-1 month), n=6 (18%); group II (age >1-3 months), n=7 (21%); group III (age >3-12 months), n=9 (26%); group IV (age >12months), n=12 (35%). In group I, five (84%) had normal development and one had mild delay in cognition. In group II, three (43%) had normal development. Cognition and behavior was delayed in 3 patients (43% each), followed by delay in speech in 2 (29%). All patients (100%) in group III and IV had developmental delay, predominant domains affected were speech, cognition and behavior. Conclusion: We have found developmental delay especially in the domain of speech, cognition and behavior in children with congenital hypothyroidism who have started levo-thyroxin late. Early diagnosis and initiation of treatment is fundamental for optimal neuro-developmental outcome in children with congenital hypothyroidism. Birdem Med J 2021; 11(1): 63-66


Author(s):  
Laura A Skrip ◽  
Prashanth Selvaraj ◽  
Brittany Hagedorn ◽  
Andre Lin Ouédraogo ◽  
Navideh Noori ◽  
...  

AbstractBackgroundThe first case of COVID-19 in sub-Saharan Africa (SSA) was reported by Nigeria on February 27, 2020. While case counts in the entire region remain considerably less than those being reported by individual countries in Europe, Asia, and the Americas, SSA countries remain vulnerable to COVID morbidity and mortality due to systemic healthcare weaknesses, less financial resources and infrastructure to address the new crisis, and untreated comorbidities. Variation in preparedness and response capacity as well as in data availability has raised concerns about undetected transmission events.MethodsConfirmed cases reported by SSA countries were line-listed to capture epidemiological details related to early transmission events into and within countries. Data were retrieved from publicly available sources, including institutional websites, situation reports, press releases, and social media accounts, with supplementary details obtained from news articles. A data availability score was calculated for each imported case in terms of how many indicators (sex, age, travel history, date of arrival in country, reporting date of confirmation, and how detected) could be identified. We assessed the relationship between time to first importation and overall Global Health Security Index (GHSI) using Cox regression. K-means clustering grouped countries according to healthcare capacity and health and demographic risk factors.ResultsA total of 13,201 confirmed cases of COVID-19 were reported by 48 countries in SSA during the 54 days following the first known introduction to the region. Out of the 2516 cases for which travel history information was publicly available, 1129 (44.9%) were considered importation events. At the regional level, imported cases tended to be male (65.0%), were a median 41.0 years old (Range: 6 weeks - 88 years), and most frequently had recent travel history from Europe (53.1%). The median time to reporting an introduction was 19 days; a country’s time to report its first importation was not related to GHSI, after controlling for air traffic. Countries that had, on average, the highest case fatality rates, lowest healthcare capacity, and highest probability of premature death due to non-communicable diseases were among the last to report any cases.ConclusionsCountries with systemic, demographic, and pre-existing health vulnerabilities to severe COVID-related morbidity and mortality are less likely to report any cases or may be reporting with limited public availability of information. Reporting on COVID detection and response efforts, as well as on trends in non-COVID illness and care-seeking behavior, is critical to assessing direct and indirect consequences and capacity needs in resource-constrained settings. Such assessments aid in the ability to make data-driven decisions about interventions, country priorities, and risk assessment.Key MessagesWe line-listed epidemiological indicators for the initial cases reported by 48 countries in sub-Saharan Africa by reviewing and synthesizing information provided by official institutional outlets and news sources.Our findings suggest that countries with the largest proportions of untreated comorbidities, as measured by probability of premature death due to non-communicable diseases, and the fewest healthcare resources tended to not be reporting any cases at one-month post-introduction into the region.Using data availability as a measure of gaps in detection and reporting and relating them to COVID-specific parameters for morbidity and mortality provides a measure of vulnerability.Accurate and available information on initial cases in seeding local outbreaks is key to projecting case counts and assessing the potential impact of intervention approaches, such that support for local data teams will be important as countries make decisions about control strategies.


2019 ◽  
Vol 116 (33) ◽  
pp. 16571-16576 ◽  
Author(s):  
Rachael E. Stein ◽  
Joshua S. Kaplan ◽  
Jin Li ◽  
William A. Catterall

Dravet Syndrome is a severe childhood epileptic disorder caused by haploinsufficiency of the SCN1A gene encoding brain voltage-gated sodium channel NaV1.1. Symptoms include treatment-refractory epilepsy, cognitive impairment, autistic-like behavior, and premature death. The specific loci of NaV1.1 function in the brain that underlie these global deficits remain unknown. Here we specifically deleted Scn1a in the hippocampus using the Cre-Lox method in weanling mice. Local gene deletion caused selective reduction of inhibitory neurotransmission measured in dentate granule cells. Mice with local NaV1.1 reduction had thermally evoked seizures and spatial learning deficits, but they did not have abnormalities of locomotor activity or social interaction. Our results show that local gene deletion in the hippocampus can induce two of the most severe dysfunctions of Dravet Syndrome: Epilepsy and cognitive deficit. Considering these results, the hippocampus may be a potential target for future gene therapy for Dravet Syndrome.


Author(s):  
Richard J. Moulton ◽  
Jennifer I.M. Brown ◽  
Stefan J. Konasiewicz

AbstractWe report on our experience with long-term monitoring of the EEG power spectrum and somatosensory evoked potentials (SSEPs) in 103 patients with severe closed head injury (Glasgow Coma Scale - GCS ≤ 8). Patients were monitored for an average of 5 days post injury and monitoring was terminated when they died, regained consciousness or their intracranial physiologic parameters (primarily intracranial pressure - ICP) were stable for 2-3 days. Patients were treated according to a standard protocol that included mechanical ventilation, sedation, and neuromuscular blockade. At 7 of 9 twelve hour time intervals post injury, SSEPs were significantly (p < .05) different between outcome groups using the Glasgow Outcome Score collapsed to 3 categories. The percent slow (delta) activity in the EEG was not significantly different between outcome groups at any time point, post injury. The total power in the EEG power spectrum differed only at the last time epoch post injury (108 hr.). Based on the superior prognostic capabilities of the SSEP, we routinely base critical management decisions on SSEP values. We have not been able to rely on EEG parameters for these same decisions due to the lack of clear distinction between good and poor prognosis groups based on common EEG parameters.


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