Exploring the relationship between cognitive function and magnetic resonance diffusion tensor imaging in children with self-limited epilepsy with centrotemporal spikes_Journal of Epilepsy

Authors：

XU Yuanqin , FENG Tao ,  WU Min

Department of Neurology, The Second Affiliated Hospital of Baotou Medical College, Baotou 014030, China;

Corresponding author：

WU Min, Email: wm0806@163.com

Keywords：

Self-limited epilepsy; Magnetic resonance imaging; Cognitive function; Diffusion tensor imaging

DOI：

10.7507/2096-0247.202412001

Video：

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Objective To explore the correlation between cognitive function and diffusion tensor imaging (DTI) in children with self-limited epilepsy with centrotemporal spikes (SelECTS). Methods A total of 28 children with SelECTS who visited our hospital from June 2020 to December 2022 were selected as the SelECTS group. An additional 28 healthy children of similar age and gender were selected as the control group. Cognitive function was assessed using the Wechsler Intelligence Scale for Children (WISC). The SelECTS group also underwent cranial DTI. The results of the WISC were then combined with DTI values for correlation analysis. Results Children in the SelECTS group exhibited varying degrees of cognitive deficits. Their full-scale IQ and verbal IQ were significantly lower than those of the control group (P<0.05). Specific cognitive domains, including classification, verbal comprehension, block design, knowledge, and comprehension, also showed significantly lower scores compared to the control group (P<0.05). DTI revealed significant microstructural changes in multiple regions of interest in the SelECTS group (P<0.05), and these changes were correlated with the results of several cognitive function tests. Conclusion Children with SelECTS have certain cognitive deficits. There is evidence of occult damage in brain white matter, and cognitive function is correlated with damage in specific brain regions.

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1. 于盼盼, 孙燕红, 陈天玉, 等. 儿童Rolandic癫痫的诊治进展. 中风与神经疾病杂志, 2017, 34(12): 1133-1137.
2. Neng X, Xiao M, Yuanlu C, et al. Novel variant in CHRNA4 with benign childhood epilepsy with centrotemporal spikes and contribution to precise medicine. Mol Genet Genomic Med, 2020, 8(7): e1264.
3. Garg D, Charlesworth L, Shukla G. Sleep and temporal lobe epilepsy- associations, mechanisms and treatment implications. Front Hum Neurosci, 2022, 16: 849899.
4. Ascoli M, Ferlazzo E, Gasparini S, et al. Epidemiology and Outcomes of Status Epilepticus. Int J Gen Med, 2021, 14: 2965-2973.
5. Silva-Spínola A, Baldeiras I, Arrais JP, et al. The road to personalized medicine in alzheimer's disease: the use of artificial intelligence. Biomedicines, 2022, 10(2): 315.
6. Li Y, Yan J, Cui L, et al. Protocol of a randomized controlled trial to investigate the efficacy and neural correlates of mindfulness-based habit reversal training in children with Tourette syndrome. Front Psychiatry, 2022, 13: 938103.
7. 刘晓燕. 临床脑电图学. 北京: 人民卫生出版社, 2006: 326.
8. Cheng D, Miao X, Wu H, et al. Dyscalculia and dyslexia in Chinese children with idiopathic epilepsy: Different patterns of prevalence, comorbidity, and gender differences. Epilepsia Open, 2022, 7(1): 160-169.
9. Cendes F, McDonald CR. Artificial intelligence applications in the imaging of epilepsy and its comorbidities: present and future. Epilepsy Curr, 2022, 22(2): 91-96.
10. Guimãraes CA, Rzezak P, Fuentes D, et al. Memory in children with symptomatic temporal lobe epilepsy. Arq Neuropsiquiatr, 2014, 72(3): 184-189.
11. Nardi Cesarini E, Babiloni C, Salvadori N, et al. Late-onset epilepsy with unknown etiology: a pilot study on neuropsychological profile, cerebrospinal fluid biomarkers, and quantitative EEG characteristics. Front Neurol, 2020, 11: 199.
12. 江林. 伴中央颞区棘波儿童良性癫痫脑结构和功能MRI研究. 重庆: 重庆医科大学, 硕士学位论文, 2018: 1-105.
13. Alahmari DM, Skiöld B, Barton SK, et al. Diffusion tensor imaging colour mapping threshold for identification of ventilation-induced brain injury after intrauterine inflammation in preterm lambs. Front Pediatr, 2017, 5: 70.
14. Starnes K, Britton JW, Burkholder DB, et al. Case report: prolonged effects of short-term transcranial magnetic stimulation on eeg biomarkers, spectral power, and seizure frequency. Front Neurosci, 2022, 16: 866212.
15. Hiremath CS, Sagar KJV, Yamini BK, et al. Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review. Transl Psychiatry, 2021, 11(1): 42.

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