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The Egyptian Journal of Neurology, Psychiatry and Neurosurgery
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The interictal activities load and cognitive performance of children with typical absence epilepsy

The Egyptian Journal of Neurology, Psychiatry and Neurosurgery volume 57, Article number: 57 (2021) Cite this article

Abstract

Background

The description of childhood absence epilepsy (CAE) a benign self-limited generalized epilepsy has become a matter of debate. The objectives of this work were to evaluate the existence of psychiatric and cognitive impairments among patients with typical CAE and to correlate their possible relation to seizure frequency, duration of epilepsy, IISL, and valproate therapy.

Methods

The study was conducted on 19 typical CAE patients receiving valproate therapy, 11 newly diagnosed CAE patients not receiving AEDs, and 30 healthy control subjects (HCS). Participants were subjected to medical history taking, EEG monitoring, child behavior checklist (CBCL), Stanford Binet Intelligence Scale 5th edition, and computerized psychometric tests that assess cognitive domains and executive functions.

Results

The study revealed a high rate of cognitive and psychiatric dysfunctions in CAE patients. 53.3% of patients had psychiatric problems versus 16.6% in HCS. Attention deficit hyperactive disorder (ADHD) (26.6%), anxiety (16.6%), and depression (6.6%) were the most common psychiatric disorders in the patient group. Withdrawn/depressed symptoms, thought problems, social problems, and attention problems in CAE patients were significantly increased compared to HCS. At the same time, CAE patients perform worse in cognitive scales than HCS with comparable intelligent quotient (IQ) scores.

Conclusion

Cognitive and psychiatric impairments in typical CAE patients appear multifactorial in origin with epilepsy-related factors including the duration of epilepsy and interictal spike load (IISL).

Introduction

Childhood absence epilepsy (CAE) is an idiopathic age-related non-motor generalized epilepsy that usually begins between 3 and 12 years and is characterized by brief episodes of starring (10–20 s with an abrupt onset and offset), easily provoked by hyperventilation (HV), and is accompanied by impaired awareness, behavioral arrest, eyelid fluttering, or hand/face automatisms [1]. It is more common in girls than boys and constitutes about 10–15% of childhood-onset epilepsy with an estimated prevalence of 0.4–0.7 per 1000 population [2]. Typical absence is characterized by the pathognomonic interictal 2.5–4 Hz generalized spike-wave discharges (SWD) on EEG which lasts 4–25 s [3].

The description of CAE as a benign disease had been given way because affected children often show various social, cognitive, emotional, and behavioral problems despite their appropriate response to antiepileptic drugs (AEDs) and good seizure control [4, 5]. There are controversial data about the nature of these cognitive or psychiatric impairments whether they are related to the epileptic syndrome, the AEDs, or a combination of both [6]. The interaction between the interictal spikes (IIS) and cognitive impairment is still a matter of research as the IIS may produce disturbances in neural processing called transitory cognitive impairment [7].

Aim of the work

Aims of the work were to evaluate the existence of psychiatric and cognitive impairments among patients with typical CAE and to correlate their possible relation to seizure frequency, duration of epilepsy, interictal spike load (IISL), and valproate therapy.

Methods

This study was an observational cross-sectional case-control study performed on 19 consecutive patients with typical CAE on valproate therapy, 11 newly diagnosed CAE patients not receiving AEDs, and 30 healthy control subjects (HCS) matching patients’ age, sex, and educational level. Patients and HCS were selected from the epilepsy clinic in the Neurology and Psychiatry Center, Tanta University Hospitals, from the period 1 April 2017 to 31 March 2019. Typical CAE was diagnosed according to the revised criteria of the International League Against Epilepsy (ILAE) 2017 for absence epilepsy [8].

Exclusion criteria comprised of children with atypical absence epilepsy, intellectual disabilities, developmental delay, premorbid psychiatric problems, neuro-metabolic disorders, or those receiving drugs with a negative impact on cognition.

The study was approved by the local Ethical Research Committee of the Faculty of Medicine, Tanta University Hospitals. Informed consent was obtained from all subjects’ guardians before participation in the study and any potential risks were clarified to them.

All participants were subjected to medical history taking, neurological examination, routine laboratory tests, measurement of serum valproic acid (in treated patients’ group), and blood level of ammonia. They were also submitted to simultaneous long-term EEG monitoring and cognitive assessment. Long-term EEG for 2 h was done in the morning by two different epileptologists with experience of more than 15 years in EEG analysis. Comparison between both raters showed no interrater variability. Provocative tests like post hyperventilation and photic stimulation were used.

The mean IISL was calculated and correlated with the cognitive assessment results. EEG was visually rated by two different epileptologists. The number of spike-wave in 2 h was calculated and divided on 120 where the mean spike per minute was estimated for every case.

The EEG was performed using the Nihon Kohden EEG system (model EEG-1200, 64 channels, Japan) regarding the American Clinical Neurophysiology Society guidelines [9].

The IQ was measured by the Arabic validated version of Stanford Binet Intelligence Scale 5th ed. [10], and the cognitive functions were evaluated by applying the computerized version 0.14 of The Psychology Experiment Building Language (PEBL) and PEBL Test Battery [11]. We assessed the executive planning/set-shifting by the Wisconsin Card Sorting Test [12], the problem-solving by Tower of London test [13], the attention/response inhibition by Stroop test, the processing speed by Trail Making Test, the fine motor speed by finger tapping test, the complex motor control by pursuit rotor task, the working memory by Corsi’s Block Tapping Test [11], and the language/verbal fluency by the Arabic version of the Controlled Oral Word Association Test (COWAT) [14].

All the psychometric tests were done in a single session by the psychiatrist in the morning after performing the specified laboratory investigation. Each psychometric test is explained in detail in the Arabic language to each participant before starting to apply the test battery.

A psychiatric evaluation was done using the Arabic translation of the Kiddie Schedule of Affective Disorders and Schizophrenia (K-SADS) [15]. The emotional and behavioral problems were assessed by using an Arabic validated form of the Child Behavior Checklist (CBCL) that was fulfilled by the guardians and scored by a computerized software system (Assessment Data Manager-version 9.1) [16].

Statistical presentation and analysis were conducted using the Statistical Program for Social Science (SPSS) Version 20.0, IBM, Armonk, NY, USA. Quantitative data were expressed as mean ± standard deviation (SD), and qualitative data were expressed as frequency and percentage. Chi-square (χ2) and ANOVA tests were also used.

Results

Demographic data of CAE patients and the control group revealed that their ages were 7.97 ± 1.71 years and 8.13 ± 2.19 years, respectively. Sixty percent were females (18/30), and 40% were males (12/30) in both groups. Twenty-eight (93.3%) patients and 29 (96.6%) in the control group were educated. Both groups were between kindergarten (KG1) to 4th year primary school grade. The studied groups were age-, educational level-, and sex-matched.

In the CAE group, the mean disease duration was 11.43 ± 9.64 months. Treated patients (19/30) 63.3% receiving sodium valproate (VPA) in the dose range of 800–2000 mg/day and (11/30) 36.7% were newly diagnosed. The average blood levels of VPA were within the therapeutic range of 82.21 ± 16.46 mg/dl. Sixty percent were seizure-free for at least 6 months based on parental reports, while others had ongoing seizures ranging from less than 1 to up to 20 seizures per day.

In CAE children, about 16 patients (53.3%) had psychiatric disorders, 8 children had ADHD (26.6%), 5 children had anxiety (16.6%), 2 had depression disorder (6.6%), and one child (3.3%) had both depression and anxiety. However, in the control group, 5 participants (16.6%) only had a psychiatric illness, 3 children with ADHD (10%), 1 child with anxiety (3.3%), and one child with both ADHD and depression.

The results of CBCL for our participants showed that there were significant increases in each of withdrawn/depressed symptoms, thought problems, attention problems, and social problems in both treated (group I) and newly diagnosed (group II) patients compared to controls (group III), while comparison between the treated and newly diagnosed patients showed non-significant difference. On the other hand, the somatic complaints, anxious/depressed symptoms, delinquent, and aggressive behaviors showed non-significant differences between the studied groups (Table 1).

Table 1 Comparison between studied groups in child behavior checklist
Full size table

Cognitive assessments of our studied groups showed that there were statistically significant differences in group I and group II compared to the control (group III). The cognitive impairment in CAE patients included deficits in attention, complex motor tasks, verbal fluency, and executive functions (problem-solving, executive planning, and set-shifting) as shown in Table 2. Comparison between the treated and newly diagnosed patients showed non-significant difference except for Wisconsin Card Sorting Test (WCST).

Table 2 Comparison between studied groups in cognitive tests
Full size table

Compared to the control subjects, 14 CAE patients (46.6%) had language dysfunction, 19 patients (63.33%) had attention problems, 13 patients (43.6%) had impaired problem-solving, 10 patients (33.33%) had problems in planning/set-shifting and 21 patients (70%) had dysfunction in complex motor control.

There was no significant effect of epilepsy-related variables (age of onset, frequency of seizure) on these psychiatric and cognitive abnormalities as shown in Table 3, while disease duration and IISL were correlated with these abnormalities. The mean IISL was 1.43 ± 1.78 spike/min. There was a positive correlation between disease duration and psychiatric symptoms (thought problems) and a negative correlation between IISL and WCST as illustrated in Fig. 1.

Table 3 Correlation between epilepsy-related factors with cognitive and psychiatric abnormalities
Full size table
Fig. 1
figure 1

Positive correlation between disease duration and thought problem (left), and a negative correlation between IISL and WCST (right)

Full size image

Discussion

Childhood absence epilepsy not only affects subcortical structure but disrupts regions of the frontal cortex, cingulate, and thalamus as well. This may explain the affection of behavior and cognition in CAE. The question arises whether all these deficiencies are attributed to the disease itself or the use of AEDs [17].

In this study, there was a high rate of psychiatric dysfunctions among the CAE group with ADHD, anxiety, and depression representing the most encountered psychiatric disorders. These results agreed with Caplan et al. [18] who documented that 61% of the CAE group had a psychiatric diagnosis, especially anxiety disorders and ADHD. In the same line, Vega et al. [19] found that CAE increased the patients’ risk for affective problems, including anxiety and depression. From the biological point of view, the frontal lobe, thalamus, and serotonin dysfunction are concerned with both anxiety disorders and absence of epilepsy [20].

CAE patients perform worse in cognitive tasks than their healthy counterparts despite having IQ levels within the average range. This cognitive impairment was significantly noticeable in attention, complex motor tasks, verbal fluency, and executive functions among the former group, which may be reflected in their academic achievements. These findings were following previous studies [21, 22] that documented that patients with CAE suffered problems in attention and executive functions.

Verrotti et al. [23] reported that the CAE has affected mainly verbal skills and executive functions and did not affect memory. Caplan et al. [18] found that 25% of children with CAE had subtle cognitive dysfunction and 43% had linguistic problems, while Vindhiya et al. [24] have recognized significant language difficulties and impaired visual memory in their CAE patients. Cheng et al. [25] found deficits in visual attention, intelligence, and executive functions with normal language speed among CAE children. Dissimilar selection criteria and different assessment tools may explain the conflicting results between different series.

In the present study, the patients’ age of onset and the rate of seizures did not significantly influence the cognitive performance, while the duration of epilepsy was considerably correlated with cognitive dysfunctions. Gerhard et al. [26] also stressed the adverse effects of a longer duration of epilepsy on the intellectual functioning of adults and children with epilepsy. Cormack et al. [27] stated that the onset of epilepsy is a risk factor for cognitive disabilities if it occurs in the first 3 years of life.

The AEDs diminish neuronal irritability; hence, it could lessen neuronal excitability and decrease cognitive functions. In this study, valproate seems not impairing cognitive ability when its dosage falls within the normal therapeutic range. Sirisamut et al. [28] also showed that the VPA group did not exhibit any significant differences to normal comparators; the most marked adverse effects that affect cognition were observed with barbiturates and benzodiazepines, while the cognitive side effects of phenytoin, valproate, and carbamazepine did not reach the significant difference.

In this study, the high IISL was correlated with cognitive impairment. These results agree with Fonseca et al. [29] who found that suppression of interictal epileptiform discharges (IEDs) is associated with improved cognitive functions in children with epilepsy. These results were also consistent with the outcomes of Ung et al. [30] who reported that frequent IEDs in more than 10% of the record can impair cognitive performance in children.

Conclusion

The traditional descriptions of CAE as a benign disease had been given way. ADHD, anxiety, and depression represented the most encountered psychiatric disorders. The cognitive impairment was significantly noticeable in attention and executive functions. These psychiatric and cognitive abnormalities were correlated with disease duration and IISL.

Recommendations

Clinicians should be alert for early recognition and management of children suffering from CAE. This chiefly concerns children with extended duration of illness. Choosing AEDs, that pose high performance in controlling seizures and had negligible cognitive adverse effects, with gradual titration of these drugs and using them in their lowest effective dose is a very important issue. Follow-up of patients with EEG, even if they are seizure-free, for detection of IIS discharge is crucial because suppression of these troublesome discharges is associated with improved cognitive functions.

Limitations

A bigger sample size and double-blind study could increase the sensitivity and sensibility of the results.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AEDs:

Antiepileptic drugs

ADHD:

Attention deficit hyperactive disorder

CAE:

Childhood absence epilepsy

CBCL:

Child behavior checklist

COWAT:

Controlled oral word association test

HCS:

Healthy control subjects

HV:

Hyperventilation

IEDs:

Interictal epileptiform discharges

IIS:

Interictal spikes

IISL:

Interictal spike load

ILAE:

International League Against Epilepsy

IQ:

Intelligent quotient

K-SADS:

Kiddie Schedule for Affective Disorders and Schizophrenia

PEBL:

Psychology Experiment Building Language

VPA:

Sodium valproate

SWD:

Spike-wave discharges

WCST:

Wisconsin Card Sorting Test

References

  1. Morse E, Giblin K, Chung MH, Dohle C, Berg AT, Blumenfeld H. Historical trend toward an improved long-term outcome in childhood absence epilepsy. Epilepsy Res. 2019;152:7–10. https://doi.org/10.1016/j.eplepsyres.2019.02.013.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Nikolić D, Marinković M, Međo B, Jovanović K. Absence epilepsy – electroclinical features and current advances. Paediatrics Today. 2016;12(1):131–8. https://doi.org/10.5457/p2005-114.149.

    Article  Google Scholar 

  3. Aungaroon G, Arya R, Arthur TM, Holland KD. Ictal nose wiping in childhood absence epilepsy: a case series. Clin Neurol Neurosurg. 2018;172:134–6. https://doi.org/10.1016/j.clineuro.2018.06.035.

    Article  PubMed  Google Scholar 

  4. Verrotti A, Matricardi S, Rinaldi VE, Prezioso G, Coppola G. Neuropsychological impairment in childhood absence epilepsy: review of the literature. J Neurol Sci. 2015;359(1-2):59–66. https://doi.org/10.1016/j.jns.2015.10.035.

    Article  CAS  PubMed  Google Scholar 

  5. Wang X, Jiao D, Zhang X, Lin X. Altered degree centrality in childhood absence epilepsy: a resting-state fMRI study. J. Neurol. Sci. 2017;373:274–9. https://doi.org/10.1016/j.jns.2016.12.054.

    Article  PubMed  Google Scholar 

  6. Kim EH, Ko TS. Cognitive impairment in childhood-onset epile­psy: up to date information about its causes. Korean J Pediatr. 2016;59(4):155–64. https://doi.org/10.3345/kjp.2016.59.4.155.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Loughman A, Bowden SC, D’Souza W. Cognitive functioning in idiopathic generalized epilepsies: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2014;43:20–34. https://doi.org/10.1016/j.neubiorev.2014.02.012.

    Article  CAS  PubMed  Google Scholar 

  8. Fisher RS, Cross JH, D’Souza C, French JA, Haut SR, Higurashi N, et al. Instruction manual for the ILAE 2017 operational classification of seizure types. Epilepsia. 2017;58(4):531–42. https://doi.org/10.1111/epi.13671.

    Article  PubMed  Google Scholar 

  9. American Clinical Neurophysiology Society. Guideline twelve: guidelines for long-term monitoring for epilepsy. J Clin Neurophysiol. 2008;25(3):170–80.

    Article  Google Scholar 

  10. Farag S. Stanford–Binet Intelligence test: standardized Arabic version. Cairo, Egypt: Anglo Press; 2011.

    Google Scholar 

  11. Mueller ST, Piper BJ. The Psychology Experiment Building Language (PEBL) and PEBL test battery. J Neurosci Methods. 2014;222:250–9. https://doi.org/10.1016/j.jneumeth.2013.10.024.

    Article  PubMed  Google Scholar 

  12. Monchi O, Petre V, Worsley K, Dagher A. Wisconsin card sorting revisited: distinct neural circuits participating in different stages of the task identified by event-related functional magnetic resonance imaging. J Neurosci. 2001;21(19):7733–41. https://doi.org/10.1523/JNEUROSCI.21-19-07733.2001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Phillips LH, Wynn VE, McPherson S, Gilhooly KJ. Mental planning and the Tower of London task. Q J Exp Psychol A. 2001;54(2):579–97. https://doi.org/10.1080/713755977.

    Article  CAS  PubMed  Google Scholar 

  14. Khalil MS. Preliminary Arabic normative data of neuropsychological tests; the verbal and design fluency. J Clin Experimental Neuropsychol. 2010;32(9):1028–35. https://doi.org/10.1080/13803391003672305.

    Article  Google Scholar 

  15. Bahnasy WS, El-Heneedy YAE, El-Seidy EAS, Ibrahim ISE, Seleem MAH. Primary monosymptomatic nocturnal enuresis: an etiological study. Egypt J Neurol Psychiatr Neurosurg. 2018;45:19.

    Article  Google Scholar 

  16. Achenbach TM, Dumenci L. Advances in empirically based assessment: revised cross-informant syndromes and new DSM-oriented scales for the CBCL, YSR, and TRF: comment on Lengua, Sadowksi, Friedrich, and Fischer (2001). J Consult Clin Psychol. 2001;69(4):699–702. https://doi.org/10.1037/0022-006X.69.4.699.

    Article  CAS  PubMed  Google Scholar 

  17. Marks WN, Zabder NK, Cain SM, Snutch TP, Howland JG. The T-type calcium channel antagonist, Z944, alters social behavior in Genetic Absence Epilepsy Rats from Strasbourg. Behav Brain Res. 2019;361:54–64. https://doi.org/10.1016/j.bbr.2018.12.021.

    Article  CAS  PubMed  Google Scholar 

  18. Caplan R, Siddarth P, Stahl L. Childhood absence epilepsy: behavioral, cognitive, and linguistic comorbidities. Epilepsia. 2008;49(11):1838–46.

    Article  Google Scholar 

  19. Vega C, Guo J, Killory B, Danielson N, Vestal M, Berman R, et al. Symptoms of anxiety and depression in childhood absence epilepsy. Epilepsia. 2011;52(8):e70–4. https://doi.org/10.1111/j.1528-1167.2011.03119.x.

    Article  Google Scholar 

  20. Shinnar RC, Shinnar S, Cnaan A, Clark P, Dlugos D, Hirtz DG, et al. Childhood Absence Epilepsy Study Group. Pretreatment behavior and subsequent medication effects in childhood absence epi-lepsy. Neurology. 2017;89(16):1698–706. https://doi.org/10.1212/WNL.0000000000004514.

    Article  Google Scholar 

  21. Masur D, Shinnar S, Cnaan A, Shinnar RC, Clark P, Wang J, et al. Pretreatment cognitive deficits and treatment effects on attention in childhood absence epilepsy. Neurology. 2013;81(18):1572–80 https://doi.org/10.1212/WNL.0b013e3182a9f3ca.

    Article  CAS  Google Scholar 

  22. Filippini M, Ardu E, Stefanelli S, Boni A, Gobbi G, Benso F. Neuro-psychological profile in new-onset benign epilepsy with cen-trotemporal spikes (BECTS): focusing on executive functions. Epilepsy Behav. 2016;54:71–9. https://doi.org/10.1016/j.yebeh.2015.11.010.

    Article  PubMed  Google Scholar 

  23. Verrotti A, Matricardi S, Rinaldi VE, Prezioso G, Coppola G. Neuropsychological impairment in childhood absence epilepsy: review of the literature. J Neurol Sci. 2015 Dec 15;359(1-2):59–66. https://doi.org/10.1016/j.jns.2015.10.035.

    Article  CAS  PubMed  Google Scholar 

  24. Vindhiya K, Viswanathan V, Balaji P. Clinical profile and neuropsychological assessment of childhood absence epilepsy: a descriptive study. Int J Contemp Pediatr. 2018;5(4):1606–8.

    Article  Google Scholar 

  25. Cheng D, Yan X, Gao Z, Xu K, Zhou X, Chen Q. Common and distinctive patterns of cognitive dysfunction in children with benign epilepsy syndromes. Pediatr Neurol. 2017;72:36–41. https://doi.org/10.1016/j.pediatrneurol.2016.12.005.

    Article  PubMed  Google Scholar 

  26. Drenthen GS, Fasen F, Fonseca Wald ELA, Backes WH, Aldenkamp AP, Vermeulen RJ, et al. Functional brain network characteristics are associated with epilepsy severity in childhood absence epilepsy. NeuroImage Clin. 2020;27:102264. https://doi.org/10.1016/j.nicl.2020.102264.

    Article  Google Scholar 

  27. Cormack F, Cross J, Isaacs E, Harkness W, Wright I, Vargha-Khadem F, et al. The development of intellectual abilities in pediatric temporal lobe epilepsy. Epilepsia. 2007;48(1):201–4. https://doi.org/10.1111/j.1528-1167.2006.00904.x.

    Article  Google Scholar 

  28. Sirisamut T, Chinvarun Y, Tantisira MH. Effects of phenytoin and valproic acid on cognitive functions of Thai epileptic patients: a pilot study. J Med Assoc Thail. 2014;97(2):S77.

    Google Scholar 

  29. Fonseca Wald ELA, Klinkenberg S, Voncken TPC, Ebus, et al. Cognitive development in absence epilepsy during long-term follow-up. Child Neuropsychol. 2019;25(8):1003–21. https://doi.org/10.1080/09297049.2019.1614156.

    Article  PubMed  Google Scholar 

  30. Ung H, Cazares C, Nanivadekar A, Kini L, Wagenaar J, Becker D, et al. Interictal epileptiform activity outside the seizure onset zone impacts cognition. Brain. 2017;140(8):2157–68. https://doi.org/10.1093/brain/awx143.

    Article  Google Scholar 

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Acknowledgements

We would like to thank the epilepsy clinic medical and para-medical staff, Neuropsychiatry Department, Tanta University Hospitals, for their great help in patients’ selection and neurocognitive evaluation.

Funding

No funding had been received.

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Authors and Affiliations

  1. Tanta University Hospitals, Tanta, Egypt

    Shereen Ahmed ELAhwal

  2. Department of Neurology, Faculty of Medicine, Tanta University, Tanta, 31527, Egypt

    Yasser Abo Elfotoh El-Heneedy, Wafik Said Bahnasy, Reham Abdel Rahman Amer & Khaled Hussein Rashed

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Contributions

SAE participated in the study’s design, patients’ selection, EEG interpretation, statistical analysis, data analysis, references collection, manuscript writing, and final approval. YAH participated in study idea and design, patients’ assessment and inclusion, EEG interpretation, statistical analysis, references collection, manuscript writing, and final approval. WSB participated in study idea and design, patients’ assessment and inclusion, EEG interpretation, statistical analysis, references collection, manuscript writing, and final approval. RAA participated in study’s design, patients’ neurocognitive assessment, data analysis, manuscript revision, and final approval. KHR participated in the study’s design, patients’ selection, EEG interpretation, statistical analysis, data analysis, references collection, manuscript writing, and final approval.

Corresponding author

Correspondence to Wafik Said Bahnasy.

Ethics declarations

Ethics approval and consent to participate

  • The manuscript was approved from The Research Ethics Committee and Quality Assurance Unit, Faculty of Medicine, Tanta University.

  • The URL: http://tqac.tanta.edu.eg/new-tqac/

  • QualityAssuranceUnit@hotmail.com

  • Approval code: 31478/04/17

  • Name of the PI: Wafik Said Bahnasy

  • Name of the department: Neuropsychiatry

  • Type of the research: promotion research

  • Date of approval: April 2017

  • The study’s protocol had been permitted by The Research Ethics Committee and Quality Assurance Unit, Faculty of Medicine, Tanta University. Participations were voluntary, informed written consents were approved by participants’ guardians, and any possible risks were clarified.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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ELAhwal, S.A., El-Heneedy, Y.A.E., Bahnasy, W.S. et al. The interictal activities load and cognitive performance of children with typical absence epilepsy. Egypt J Neurol Psychiatry Neurosurg 57, 57 (2021). https://doi.org/10.1186/s41983-021-00299-z

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Keywords

  • Childhood absence epilepsy
  • Cognition
  • Interictal discharge load
  • Valproate