Association between Interictal Epileptiform Discharges and Autistic Spectrum Disorder

Evaluation of the Behavioral Effect of Psychostimulants in Children with Autism Spectrum Disorder: A Cross-Sectional Study

BACKGROUND

 Autism spectrum disorder (ASD) is often accompanied by comorbid conditions such as attention deficit hyperactivity disorder and epilepsy. In this context, patients are often treated with psychostimulants in an attempt to control behavioral symptoms. This study aims to understand the behavioral effects of psychostimulants in children with ASD and investigate if interictal epileptiform discharges on electroencephalogram (EEG) can act as a modifying factor in this behavior.

METHODS

 Sixty-eight patients with ASD who were being accompanied in the Department of Child and Adolescent Psychiatry of the Centro Hospitalar Universitário de São João and had previously done an EEG assessment answered a questionnaire regarding their behavioral response to psychostimulants.

RESULTS

 In total, 47.4% of patients reported improved agitation, 56.1% enhanced concentration, and 8.8% improved sleep. Conversely, 28.1% experienced worsened agitation, 15.8% worsened concentration, and 17.5% worsened sleep. The remaining reported no alterations. The age of diagnosis correlated significantly with improved agitation, with a higher diagnosis age being associated with a higher probability of improvement. Extended-release methylphenidate and genetic variations were significantly associated with worsening of agitation. Regarding speech, 86% exhibited no changes, while 14% showed alterations, mostly, 87.5%, characterized as negative. For other behavioral alterations, 45.6% reported negative changes, 3.5% reported positive changes, and 50.9% reported no additional alterations. Female gender was significantly associated with other negative behavioral changes. A significant correlation was found between treatment duration and the probability of improvement in agitation, concentration, and other behavioral changes.

Association of electroencephalogram epileptiform discharges during cardiac surgery with postoperative delirium: An observational study

Background

Delirium is a frequent and serious complication following cardiac surgery involving cardiopulmonary bypass (CPB). Electroencephalography reflects the electrical activity of the cerebral cortex. The impact of electroencephalographic epileptiform discharges during cardiac surgery on postoperative delirium remains unclear. This study was designed to investigate the relationship between intraoperative epileptiform discharges and postoperative delirium in patients undergoing cardiac surgery.

Methods

A total of 76 patients who underwent cardiac surgery under CPB were included. The baseline cognitive status was measured before surgery. Electroencephalograms were monitored continuously from entry into the operating room to the end of surgery. The presence of delirium was assessed through the Confusion Assessment Method or the Confusion Assessment Method for the Intensive Care Unit on the first 3 days after surgery. Univariate and multivariate logistic regression analyses were performed to evaluate the association between epileptiform discharges and delirium.

Results

Delirium occurred in 31% of patients and epileptiform discharges were present in 26% of patients in the study. Patients with delirium had a higher incidence of epileptiform discharges (52.63% vs. 13.95%, P < 0.001) and longer durations of anesthesia and CPB (P = 0.023 and P = 0.015, respectively). In addition, patients with delirium had a longer length of hospital stay and a higher incidence of postoperative complications. Multivariate logistic regression analysis showed that age and epileptiform discharges were significantly associated with the incidence of postoperative delirium [odds ratio, 4.75 (1.26–17.92), P = 0.022; 5.00 (1.34–18.74), P = 0.017, respectively].

Conclusions

Postoperative delirium is significantly related to the occurrence of epileptiform discharges during cardiac surgery.

Shared Etiology in Autism Spectrum Disorder and Epilepsy with Functional Disability

Autism spectrum disorders and epilepsies are heterogeneous human disorders that have miscellaneous etiologies and pathophysiology. There is considerable risk of frequent epilepsy in autism that facilitates amplified morbidity and mortality. Several biological pathways appear to be involved in disease progression, including gene transcription regulation, cellular growth, synaptic channel function, and maintenance of synaptic structure. Here, abnormalities in excitatory/inhibitory (E/I) balance ratio are reviewed along with part of an epileptiform activity that may drive both overconnectivity and genetic disorders where autism spectrum disorders and epilepsy frequently co-occur. The most current ideas concerning common etiological and molecular mechanisms for co-occurrence of both autism spectrum disorders and epilepsy are discussed along with the powerful pharmacological therapies that protect the cognition and behavior of patients. Better understanding is necessary to identify a biological mechanism that might lead to possible treatments for these neurological disorders.

Association of epileptiform brain activity and specific language impairment (SLI) in preschool children

Background

Epileptiform activities can cause transient or permanent deficits that affect the children during development and may be accompanied by neurodevelopmental disorders like specific language impairment.

Objectives

The objective of this study was to find if there is a possible association and the impact of epilepsy and epileptiform activity in children with specific language impairment.

Patients and methods

The study was conducted on 80 children suffering from specific language impairment and 80 age and sex match healthy control children. Computed tomography brain was performed and electroencephalography was recorded for children. Intelligence quotient level, cognitive age, social, and phoniatric assessment were done for all patients.

Results

Eighty children with specific language impairment (51 males and 29 females) with a mean age of 4.11 ± 1.93. Patients with specific language impairment showed significantly higher rates of abnormal electroencephalography (P = 0.006) and epilepsy (P < 0.001) compared to the control group. Spearman correlation demonstrated a highly negative significant relationship linking the language, intelligence quotient with abnormal electroencephalography and epilepsy (r = − 0.91, P < 0.01 and r = − 0.91, P < 0.01 respectively). Also, there was a moderately inverse significant relationship linking the cognitive age, social with abnormal electroencephalography, and epilepsy (r = − 0.70, P < 0.05 and r = − 0.65, P < 0.05 respectively).

Conclusion

Epileptiform activities even without epilepsy in preschool children may alter normal language function. Specific language impairment was associated with lower intelligence quotient levels, social, and cognitive age.

Trial registration

ClinicalTrials.gov ID: NCT04141332

Electroencephalography in Assessment of Autism Spectrum Disorders: A Review

Electroencephalography (EEG) can further out our understanding of autistic spectrum disorders (ASD) neurophysiology. Epilepsy and ASD comorbidity range between 5 and 46%, but its temporal relationship, causal mechanisms and interplay with intellectual disability are still unknown. Epileptiform discharges with or without seizures go as high as 60%, and associate with epileptic encephalopathies, conceptual term suggesting that epileptic activity can lead to cognitive and behavioral impairment beyond the underlying pathology. Seizures and ASD may be the result of similar mechanisms, such as abnormalities in GABAergic fibers or GABA receptor function. Epilepsy and ASD are caused by a number of genetic disorders and variations that induce such dysregulation. Similarly, initial epilepsy may influence synaptic plasticity and cortical connection, predisposing a growing brain to cognitive delays and behavioral abnormalities. The quantitative EEG techniques could be a useful tool in detecting and possibly measuring dysfunctions in specific brain regions and neuronal regulation in ASD. Power spectra analysis reveals a U-shaped pattern of power abnormalities, with excess power in the low and high frequency bands. These might be the consequence of a complicated network of neurochemical changes affecting the inhibitory GABAergic interneurons and their regulation of excitatory activity in pyramidal cells. EEG coherence studies of functional connectivity found general local over-connectivity and long-range under-connectivity between different brain areas. GABAergic interneuron growth and connections are presumably impaired in the prefrontal and temporal cortices in ASD, which is important for excitatory/inhibitory balance. Recent advances in quantitative EEG data analysis and well-known epilepsy ASD co-morbidity consistently indicate a role of aberrant GABAergic transmission that has consequences on neuronal organization and connectivity especially in the frontal cortex.

Ictal EEG in patients with autistic spectrum disorder and epilepsy

OBJECTIVE

Autism spectrum disorder (ASD) is a neurodevelopmental disorder frequently associated with epilepsy and epilepsy is a leading cause of death in ASD patients. Despite growing interest in genetic, neurophysiological and clinical overlaps, data on ictal electroencephalographic (EEG) recordings in ASD are lacking since behavioral disorders often make it difficult to obtain EEG recordings. We examined ictal EEG features in a consecutive series of patients with ASD and epilepsy.

METHODS

We retrospectively identified 400 consecutive patients with ASD and epilepsy at our Level 4 Epilepsy center between 2015 and 2019; 45 had at least one EEG-recorded seizure captured. Demographics, age of nonfebrile seizure onset, age of ASD diagnosis, language, magnetic resonance imagining findings, genetic testing and EEG studies were reviewed. Seizures were classified by semiologic and electrographic features. Ictal findings were analyzed.

RESULTS

A total of 497 seizures were captured in 45 patients: 20 patients with focal onset epilepsy had 126 seizures (median: 1, range: 1-30), 17 patients with generalized onset epilepsy had 88 seizures (median: 2, range: 1-15), 7 patients with Lennox-Gastaut syndrome had 270 seizures (median: 12, range: 1-74) and one patient had both right hemisphere focal and generalized onsets (12 focal, 1 generalized).

SIGNIFICANCE

Our study is the first to analyze a large set of ictal data in patients with autism spectrum disorder, a population traditionally difficult to obtain ictal recordings. Our results confirm the diverse spectrum of seizure types and provide clinical-EEG correlates of seizures in ASD patients. Both focal-onset and generalized-onset seizures were recorded, confirming that ASD patients have higher rates of both focal and generalized epilepsy syndromes. Among patients with focal epilepsy, temporal and frontal onsets were frequent, suggesting the possibility of epilepsy surgery or brain stimulation. EEG to classify seizures and epilepsies is critical to determine therapeutic options and effort should be made to obtain EEGs in this heterogenous population.