Impaired Cognitive Abilities in Siblings of Patients with Temporal Lobe Epilepsy
Received 14 April 2020
Accepted for publication 23 November 2020
Published 14 December 2020 Volume 2020:16 Pages 3071—3079
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Yuping Ning
Langzi Tan, Yayu Chen, Wenyue Wu, Chaorong Liu, Yujiao Fu, Jialinzi He, Min Zhang, Ge Wang, Kangrun Wang, Hongyu Long, Wenbiao Xiao, Bo Xiao, Lili Long
Department of Neurology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
Correspondence: Lili Long
Department of Neurology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
Tel +86 0731 84328888
Fax +86 0731 84327332
Purpose: Patients with temporal lobe epilepsy (TLE) are at high risk of cognitive impairment. In addition to persistent seizures and antiepileptic drugs (AEDs), genetic factors also play an important role in the progression of cognitive deficits in TLE patients. Defining a cognitive endophenotype for TLE can provide information on the risk of cognitive impairment in patients. This study investigated the cognitive endophenotype of TLE by comparing neuropsychological function between patients with TLE, their unaffected siblings, and healthy control subjects.
Patients and Methods: A total of 46 patients with TLE, 26 siblings, and 33 control subjects were recruited. Cognitive function (ie, general cognition, short- and long-term memory, attention, visuospatial and executive functions, and working memory) was assessed with a battery of neuropsychological tests. Differences between groups were evaluated by analysis of covariance, with age and years of education as covariates. The Kruskal–Wallis test was used to evaluate data that did not satisfy the homogeneity of variance assumption. Pairwise comparisons were adjusted by Bonferroni correction, with a significance threshold of P< 0.05.
Results: Patients with TLE showed deficits in the information test (P< 0.001), arithmetic test (P=0.003), digit symbol substitution test (P=0.001), block design test (BDT; P=0.005), and backward digit span test (P=0.001) and took a longer time to complete the Hayling test Part A (P=0.011) compared to controls. Left TLE patients tended to have worse executive function test scores than right TLE patients. The siblings of TLE patients showed deficits in the BDT (P=0.006, Bonferroni-corrected) relative to controls.
Conclusion: Patients with TLE exhibit cognitive impairment. Executive function is worse in patients with left TLE than in those with right TLE. Siblings show impaired visuospatial function relative to controls. Thus, cognitive deficits in TLE patients have a genetic component and are independent of seizures or AED use.
Keywords: temporal lobe epilepsy, cognitive impairment, endophenotype
Temporal lobe epilepsy (TLE) is the most common type of focal refractory epilepsy in adults.1 Evidence from recent genetic studies indicates that TLE has higher heritability than was previously assumed.2–4 The contribution of genetic factors to the pathology of TLE has been demonstrated by familial and twin studies.5–7 However, the genetic mechanisms underlying sporadic TLE are not fully understood.8–11 A genome-wide association study of sporadic TLE has implicated the sodium channel gene cluster on chromosome 2q24.3.12 Some studies have identified tyrosine receptor kinase B gene variants in patients with TLE,11,13 while another showed that the variants were associated with depressive disorder in this patient population.14 Thus, TLE and associated cognitive dysfunction develops as a result of a combination of genetic and environmental factors.
Patients with TLE usually exhibit cognitive impairment15,16 such as deficits in attention; verbal, nonverbal memory, and working memory; executive function; and spatial visualization.17–19 Deficits in attention and executive function were recorded in up to 70% of untreated adult patients with new-onset epilepsy.20 Multiple factors can cause cognitive impairment including genes, antiepileptic drugs (AEDs), recurrent seizures, and lesions in the temporal lobe.21 The extent to which genetic factors contribute to cognitive dysfunction remains unknown. To this end, examining the endophenotype of TLE patients—which is more closely related to genotype than to phenotype—can clarify the role of genetics in the pathogenesis of TLE by identifying candidate phenotypic traits for genetic mapping. An endophenotype is defined by the following criteria: (1) independent of the prevalence of the disease in the population; (2) stable (ie, does not change with disease recurrence or remission); (3) heritable; and (4) more prevalent in the family of the affected individual than in the general population.22
Endophenotypes have been investigated in relation to psychiatric disorders23–27 and certain types of epilepsy such as idiopathic generalized epilepsy.28,29 Recent studies suggest that TLE patients have structural endophenotypes30–32 that distinguish them from healthy control subjects. Although there have been many studies of cognitive impairment in TLE,33,34 there is no consensus on the classification of cognitive phenotype.
The present study was carried out in order to identify potential phenotypic biomarkers that can be useful for future genetic analyses of cognitive impairment in TLE. To this end, we compared cognitive ability in TLE patients, their unaffected siblings, and healthy control subjects using a battery of neuropsychological tests.
Patients and Methods
A total of 46 TLE patients were recruited at Xiangya Hospital of Central South University (Hunan Province, China). The clinical diagnosis of TLE was made by veteran epileptologists based on seizure symptoms, video-electroencephalography, and brain magnetic resonance imaging (MRI) scans35 according to International League Against Epilepsy criteria.36,37 There are 3 seizure types associated with TLE: (1) focal aware seizure, in which consciousness is typically maintained during the seizure; (2) focal impaired awareness seizure, which is accompanied by epigastric and autonomic auras and déjà vu; and (3) focal-to-bilateral tonic–clonic seizure, in which abnormal epileptic discharges occur in the temporal lobe during the ictal or interictal period. There were no other MRI abnormalities except for hippocampal sclerosis (HS), and patients were able to communicate with the psychiatrists until they fully understood the questionnaires.
Patients’ asymptomatic siblings and healthy volunteers matched to the patients in terms of age and sex were also included in the study. We excluded siblings with a history of illicit drug abuse or encephalitis that could affect cognition and interfere with the test results, as well as those with a history of suspected seizures or other injuries or who failed to complete the neuropsychological tests. In total, 26 of the 46 patients (male, n=9) had a sibling who was included in the study. The 33 healthy control subjects (male, n=14) had no family history of neurologic, psychiatric, or genetic disorders. We performed power analyses to ensure that the sample size was adequate to show intergroup differences.
All participants were right-handed and underwent electroencephalography (EEG) tests and brain MRI scans. All of the control subjects and siblings had normal EEG and brain MRI data, except 1 sibling (4%) with abnormal EEG findings (slightly suspicious epileptiform discharges with maximums in the frontal and temporal lobes) and 1 (4%) with visible HS.
The study complied with the Declaration of Helsinki and was approved by the Ethics Committee of Xiangya Hospital of Central South University. All participants provided written, informed consent for access to their medical records (containing demographic and clinical information).
All participants were evaluated with the following neuropsychological tests.
(1)Mini-Mental State Examination (MMSE). This questionnaire assesses mental state and general cognition including registration, attention, calculation, recall, language, ability to follow simple commands, and orientation, with a total score of 30 points.38
(2)Arithmetic test in the Chinese revision of the Wechsler Adult Intelligence Scale (WAIS-RC). The test evaluates quantitative reasoning and attention abilities, which are components of working memory.39 There are 14 arithmetic problems, and the subject is required to answer the questions orally within a limited time.
(3)Information test in the WAIS-RC. This test includes 29 general knowledge questions that evaluate long-term memory.
(4)Forward digit span test (FDST) and backward digit span test (BDST) in the WAIS-RC. These tests evaluate attention, short-term memory, and working memory. In the tests, a sequence of numbers is shown to the subject, who is asked to repeat it forward or backward.40
(5)Digit symbol substitution test (DSST) in the WAIS-RC. The test evaluates attention, short-term memory, psychomotor speed, and executive function.41 The subject is required to transcribe a digit-symbol code using a key within 90 s.
(6)Block design test (BDT) in the WAIS-RC. This test evaluates visuospatial construction, speed of execution, perceptual integration, and planning capacity. Subjects are required to assemble red and white blocks in a specified pattern within the specified time.42
(7)The Hayling test. This test evaluates response initiation and suppression speed, which are both components of executive function.41,43 The test consists of 2 sets of 15 sentences with a phrase missing in each sentence. In Part A, the examiner reads each sentence out loud and the subject must complete the sentence with a logical phrase. In Part B, the subject completes a sentence with a nonsense phrase. The completion time for Hayling test Part A (Hayling-A time) and Part B (Hayling-B time) were measured in the present study to evaluate response initiation and suppression speeds, respectively.
(8)Trail making test (TMT). This test evaluates attention and executive function. The subject is required to connect a sequence of consecutive targets on a sheet of paper as quickly as possible. There are 2 parts to the test: in part A, the targets are 25 numbers (1, 2, 3, etc.) that the subject must connect in sequential order; in part B, the subject must alternate between numbers and letters (1, A, 2, B, etc.). We used the time taken to complete part B of the test (TMT-B time) as a measure of visual scanning and graphomotor speeds.
(9)Verbal fluency test (VFT, animal naming). This test evaluates verbal ability by requiring the subject to name as many different animal names as possible in 1 min.44
Each test had uniform and reliable scoring criteria, and the whole battery took approximately 50 min to complete.
Statistical analyses were carried out with SPSS v25.0 (IBM, Armonk, NY, USA). Analysis of variance was used to compare years of education and age and the chi-squared test was used to compare the sex ratio between groups. The MMSE score was used as a measure of the general cognitive ability of the participants. Levene’s test was used to detect homogeneity of variances; based on the result, we performed analysis of covariance (ANCOVA) with years of education and age as covariates or the Kruskal–Wallis nonparametric test (for the arithmetic test, TMT-B time, and BDT only). If the main analysis indicated significant intergroup differences, pairwise post hoc comparisons were carried out to identify the cause in the ANCOVA or Kruskal–Wallis nonparametric test. All comparative analyses were adjusted with the Bonferroni correction. We also performed a subgroup analysis of participants with left and right TLE as well as a correlation analysis between patients’ performance in neuropsychological tests and factors that may have confounded the results such as seizure frequency, history of focal to bilateral tonic–clonic seizure, number of AEDs, and duration of seizures. The significance threshold for all analyses was P<0.05 (2-sided P values).
Characteristics of the Study Population
The groups were similar in terms of age (F2101=2.4, P=0.1), years of education (F2101=1.1, P=0.3), and sex ratio (χ2=0.6, P=0.7). The demographic and clinical characteristics of the study population are shown in Tables 1 and 2.
Table 1 Demographic and Clinical Characteristics of the Study Population
Table 2 Sociodemographic Characteristics of the Study Population by Group
In the general cognitive assessment with the MMSE, the score of TLE patients was 1.59 points lower than that of the control group (P=0.016). The detailed results of neuropsychological tests are shown in Table 3. The main group analysis revealed significant differences between groups in most tests except for TMT-B time. In pairwise comparisons, patients with TLE (n=46) showed deficits in the information test, arithmetic test, BDST, DSST, BDT, and Hayling-A time. Meanwhile, their siblings (n=26) showed deficits in the BDT. That is, both patients and siblings showed significant differences in BDT scores relative to the control group, with patients showing poorer performance. After excluding the 20 patients without siblings that participated in the study, the difference in performance on the BDT remained significant (P=0.002, patients vs controls; P=0.008, siblings vs controls).
Table 3 Average Test Scores for Each Group and Intergroup Comparisons
An additional analysis was carried out for left and right TLE patient subgroups. There was no statistically significant difference between left TLE patients (n=20) or their siblings (n=11) and control subjects (n=33) in terms of age (patients, P=0.9; siblings, P=0.3), years of education (patients, P=0.1; siblings, P=0.2), and sex ratio (patients, P=0.7; siblings, P=0.6). There was no difference in age between right TLE patients (n=26) or their siblings (n=15) and control subjects (both P=0.6). There was no difference between right TLE patients or their siblings and controls in terms of years of education (patients, P=0.5; siblings, P=0.5) or sex ratio (patients, P=0.6; siblings, P=0.5).
The mean scores for each test by group and the main group analyses and pairwise post hoc comparative analyses of the left and right TLE subgroups are shown in Tables 4 and 5, respectively. The main group effects in the information and arithmetic tests, FDST, BDST, DSST, BDT, TMT-B time, and Hayling-A and -B times differed significantly between left TLE patients, their siblings, and control subjects. In pairwise post hoc comparisons, patients with left TLE had worse performance in the arithmetic test, Hayling-A time, TMT-B time, DSST, and BDT relative to controls, whereas deficits were only observed in the siblings in the BDT. The main group effects in the information and arithmetic tests, FDST, BDST, DSST, VFT, BDT, and Hayling-A and -B times differed significantly between right TLE patients, their siblings, and controls. Patients with right TLE (n=26) showed deficits in the information and arithmetic tests, BDST, DSST, and Hayling-A time. The siblings showed comparable performance to controls in all tests.
Table 4 Subgroup Analyses of Left TLE
Table 5 Subgroup Analyses of Right TLE
The left TLE subgroup showed worse performance in most of the neuropsychological tests than right TLE patients, especially in those evaluating executive function (including visuospatial function tests) such as Hayling-A time (left TLE patients vs controls, P=0.009; right TLE patients vs controls, P=0.045) and TMT-B time (left TLE patients vs controls, P=0.043; right TLE patients vs controls, P=0.3). A correlation analysis showed that the performance of TLE patients in the BDT was not correlated with duration of seizures in years (r=−0.2, P=0.3), seizure frequency (r=−0.2, P=0.1), number of AEDs (r=0.01, P=0.9), or history of secondary generalized seizures (r=−0.08, P=0.5).
This is the first study investigating cognitive function in the unaffected siblings of TLE patients. The patients showed extensive cognitive deficits in both long- and short-term memory, attention, working memory, executive function, and visuospatial function, which is consistent with previous findings.45,46 The unaffected siblings had never experienced seizures, were not medicated, and were asymptomatic, but nonetheless showed impaired visuospatial function similar to patients, suggesting that these deficits have a genetic component and are independent of seizures or AED use.
Cognitive impairment in TLE patients reflects the dysfunction of temporal and frontal cortices. A study of 54 TLE patients and 28 controls examined by diffusion tensor imaging (DTI) and neuropsychological tests found that working memory performance was correlated with the frontoparietal network and contralateral temporal lobe.47 Hippocampal−thalamic connections and the prefrontal cortex have been implicated in executive function in TLE patients.48,49 A recent brain MRI study that included pooled data of 2149 individuals with epilepsy found reductions in thalamic volume and cortical thickness in the temporal and frontal lobes of TLE patients.50 This can explain our finding that TLE patients showed cognitive impairment in both the frontal and temporal lobes, which may result from damage in remote brain regions away from the epileptogenic focus.
Anterograde memory function is associated with the temporal lobe. In this study, we assessed short-term memory recall with the Montreal Cognitive Assessment (MoCA), DSST, FDST, BDST, short-term memory (registration) subtest, and recall subtest of the MMSE (Supplementary Table 1). TLE patients showed cognitive deficits in neuropsychological tests of anterograde memory including the DSST, BDST, recall task subtest of the MMSE, and MoCA, whereas no differences relative to control subjects were observed in the FDST or the short-term memory (registration) subtest of the MMSE. These results highlight the complexity of cognitive impairment in TLE patients.
The BDT assesses visuospatial construction, speed of execution, perceptual integration, and planning capacity,51 which involve the frontal, temporal, and parietal lobes along with the visual cortex and cerebellum.52 There are several neuropsychological tests for evaluating visuospatial function, as a single test cannot cover all of the subcomponents.53 The 2 hemispheres play different roles in visuospatial information processing;54 besides, the memory, execution, and visuospatial subsets of the BDT should all be separately considered when using tests for cognitive assessments. A previous investigation of 374 patients found that average left hemisphere thickness in patients was related to their performance on the BDT,55 while another study showed that left hippocampal atrophy in TLE patients was associated with visuospatial deficits.56 However, how these anatomic abnormalities contribute to cognitive impairment remains to be determined.
In the exploratory analysis of right TLE patients and their siblings, the former showed obvious deficits in long-term and working memory, visuospatial function, and response initiation speed, whereas the cognitive performance of their siblings was comparable to that of controls. A DTI study revealed that white matter in patients with right TLE was less impacted by seizures than that in patients with left TLE, and was less likely to involve bilateral alterations.47 Patients with right TLE also showed less extensive structural damage compared to left TLE patients.50 The right temporal lobe is more closely related to emotional recognition57,58 and social cognition,59–62 which we did not evaluate. In our study, right TLE patients had higher scores in certain neuropsychological tests than left TLE patients, and their siblings did not demonstrate cognitive deficits, is in accord with previous researches.
This study had limitations. Firstly, as it was a cross-sectional study the subjects were not repeatedly tested at different time points, which would be useful for examining the progression of cognitive changes in TLE patients. On the other hand, we carried out post hoc analyses to exclude selection bias resulting from the small number of HS patients in our study and determined that there were no significant differences between patients with vs those without HS or between their siblings in any of the neuropsychological tests, which is consistent with previous findings that TLE with and without HS are on the same pathologic continuum.63–65 Thus, the inclusion of both TLE patients with and those without HS along with their siblings enhances the generalizability of our findings.
The results of our study demonstrate that impaired visuospatial function is an endophenotype of TLE that is observed in both patients and their unaffected siblings. This neuropsychological indicator is relatively stable and measurable and provides a link between genetic and phenotypic aspects of cognitive impairment in TLE, as well as providing insight into the possible underlying mechanisms. Moreover, our data suggest that the more extensive cognitive impairment in TLE patients compared to their siblings is the combined effect of genetic factors and epileptic activity.
AED, antiepileptic drug; ANCOVA, analysis of covariance; BDST, backward digit span test; BDT, block design test; DSST, digit symbol substitution test; DTI, diffusion tensor imaging; EEG, electroencephalography; FDST, forward digit span test; HS, hippocampal sclerosis; MMSE, Mini-Mental State Examination; MoCA: Montreal Cognitive Assessment; MRI, magnetic resonance imaging; TLE, temporal lobe epilepsy; TMT, trail making test; VFT, verbal fluency test; WAIS-RC, Chinese revision of the Wechsler Adult Intelligence Scale.
This study was supported by the Key Research Project of the Chinese Ministry of Science and Technology of China (no. 81671300), Clinical Research Foundation of Xiangya Hospital (no. 2016L08), and Youth Program of National Natural Science Foundation of China (no.81701182).
The authors report no conflicts of interest in this work.
1. Tellez-Zenteno JF, Hernandez-Ronquillo L. A review of the epidemiology of temporal lobe epilepsy. Epilepsy Res Treat. 2012;2012:630853.
2. Salzmann A, Guipponi M, Lyons PJ, et al. Carboxypeptidase A6 gene (CPA6) mutations in a recessive familial form of febrile seizures and temporal lobe epilepsy and in sporadic temporal lobe epilepsy. Hum Mutat. 2012;33(1):124–135. doi:10.1002/humu.21613
3. Walz R, Castro RM, Velasco TR, et al. Surgical outcome in mesial temporal sclerosis correlates with prion protein gene variant. Neurology. 2003;61(9):1204–1210. doi:10.1212/01.WNL.0000096940.92986.02
4. Ottman R. Genetics of the partial epilepsies: A review. Epilepsia. 1989;30(1):107–111. doi:10.1111/j.1528-1157.1989.tb05290.x
5. Corey LA, Pellock JM, Kjeldsen MJ, Nakken KO. Importance of genetic factors in the occurrence of epilepsy syndrome type: a twin study. Epilepsy Res. 2011;97(1–2):103–111. doi:10.1016/j.eplepsyres.2011.07.018
6. Crompton DE, Scheffer IE, Taylor I, et al. Familial mesial temporal lobe epilepsy: a benign epilepsy syndrome showing complex inheritance. Brain. 2010;133(11):3221–3231. doi:10.1093/brain/awq251
7. Berkovic SF, Howell RA, Hay DA, Hopper JL. Epilepsies in twins: genetics of the major epilepsy syndromes. Ann Neurol. 1998;43(4):435–445. doi:10.1002/ana.410430405
8. Xiao W, Wu Y, Wang J, et al. Network and pathway-based analysis of single-nucleotide polymorphism of miRNA in temporal lobe epilepsy. Mol Neurobiol. 2019;56:7022–7031.
9. Vadlamudi L. Genetics of temporal lobe epilepsy. J Neurol Neurosurg Psychiatry. 2003;74(10):1359–1361. doi:10.1136/jnnp.74.10.1359
10. Long H-Y, Feng L, Kang J, et al. Blood DNA methylation pattern is altered in mesial temporal lobe epilepsy. Sci Rep. 2017;7(1):43810. doi:10.1038/srep43810
11. Zhu W-Y, Jiang P, He X, et al. Contribution of NRG1 Gene Polymorphisms in Temporal Lobe Epilepsy. J Child Neurol. 2016;31(3):271–276. doi:10.1177/0883073815589757
12. Kasperaviciute D, Catarino CB, Matarin M, et al. Epilepsy, hippocampal sclerosis and febrile seizures linked by common genetic variation around SCN1A. Brain. 2013;136(10):3140–3150. doi:10.1093/brain/awt233
13. Torres CM, Siebert M, Bock H, et al. NTRK2 (TrkB gene) variants and temporal lobe epilepsy: A genetic association study. Epilepsy Res. 2017;137:1–8. doi:10.1016/j.eplepsyres.2017.08.010
14. Torres CM, Siebert M, Bock H, et al. Tyrosine receptor kinase B gene variants (NTRK2 variants) are associated with depressive disorders in temporal lobe epilepsy. Epilepsy Behav. 2017;71:65–72. doi:10.1016/j.yebeh.2017.03.030
15. Hwang G, Dabbs K, Conant L, et al. Cognitive slowing and its underlying neurobiology in temporal lobe epilepsy. Cortex. 2019;117:41–52. doi:10.1016/j.cortex.2019.02.022
16. Yang XY, Long LL, Xiao B. [Effects of temporal lobe epilepsy and idiopathic epilepsy on cognitive function and emotion in children]. Zhongguo Dang Dai Er Ke Za Zhi. 2016;18:577–581.
17. Hermann B, Loring DW, Wilson S. Paradigm shifts in the neuropsychology of epilepsy. J Int Neuropsychol Soc. 2017;23(9–10):791–805. doi:10.1017/S1355617717000650
18. Saling MM. Verbal memory in mesial temporal lobe epilepsy: beyond material specificity. Brain. 2009;132:570–582.
19. Grammaldo LG, Giampa T, Quarato PP, et al. Lateralizing value of memory tests in drug-resistant temporal lobe epilepsy. Eur J Neurol. 2006;13(4):371–376. doi:10.1111/j.1468-1331.2006.01236.x
20. Witt J-A, Helmstaedter C. Cognition in epilepsy: current clinical issues of interest. Curr Opin Neurol. 2017;30(2):174–179. doi:10.1097/WCO.0000000000000430
21. Hermann B, Seidenberg M, Jones J. The neurobehavioural comorbidities of epilepsy: can a natural history be developed? Lancet Neurol. 2008;7(2):151–160. doi:10.1016/S1474-4422(08)70018-8
22. Gottesman II, Gould TD. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry. 2003;160(4):636–645. doi:10.1176/appi.ajp.160.4.636
23. McCarthy NS, Badcock JC, Clark ML, et al. Assessment of cognition and personality as potential endophenotypes in the Western Australian Family Study of Schizophrenia. Schizophr Bull. 2018;44(4):908–921. doi:10.1093/schbul/sbx141
24. Ivleva EI, Clementz BA, Dutcher AM, et al. Brain structure biomarkers in the psychosis biotypes: findings from the Bipolar-Schizophrenia Network for Intermediate Phenotypes. Biol Psychiatry. 2017;82(1):26–39. doi:10.1016/j.biopsych.2016.08.030
25. Pironti VA, Lai M-C, Muller U, et al. Neuroanatomical abnormalities and cognitive impairments are shared by adults with attention-deficit/hyperactivity disorder and their unaffected first-degree relatives. Biol Psychiatry. 2014;76(8):639–647. doi:10.1016/j.biopsych.2013.09.025
26. Burmeister M, McInnis MG, Zollner S. Psychiatric genetics: progress amid controversy. Nat Rev Genet. 2008;9(7):527–540. doi:10.1038/nrg2381
27. Chamberlain SR, Fineberg NA, Menzies LA, et al. Impaired cognitive flexibility and motor inhibition in unaffected first-degree relatives of patients with obsessive-compulsive disorder. Am J Psychiatry. 2007;164:335–338.
28. Chowdhury FA, Elwes RDC, Koutroumanidis M, Morris RG, Nashef L, Richardson MP. Impaired cognitive function in idiopathic generalized epilepsy and unaffected family members: an epilepsy endophenotype. Epilepsia. 2014;55(6):835–840. doi:10.1111/epi.12604
29. Wandschneider B, Centeno M, Vollmar C, et al. Motor co-activation in siblings of patients with juvenile myoclonic epilepsy: an imaging endophenotype? Brain. 2014;137(9):2469–2479. doi:10.1093/brain/awu175
30. Yaakub SN, Barker GJ, Carr SJ, et al. Abnormal temporal lobe morphology in asymptomatic relatives of patients with hippocampal sclerosis: A replication study. Epilepsia. 2019;60(1):e1–e5. doi:10.1111/epi.14575
31. Whelan CD, Alhusaini S, O’Hanlon E, et al. White matter alterations in patients with MRI-negative temporal lobe epilepsy and their asymptomatic siblings. Epilepsia. 2015;56(10):1551–1561. doi:10.1111/epi.13103
32. Scanlon C, Ronan L, Doherty CP, et al. MRI-based brain structure volumes in temporal lobe epilepsy patients and their unaffected siblings: A preliminary study. J Neuroimaging. 2013;23(1):64–70. doi:10.1111/j.1552-6569.2012.00736.x
33. Hermann B, Seidenberg M, Lee E-J, Chan F, Rutecki P. Cognitive phenotypes in temporal lobe epilepsy. J Int Neuropsychol Soc. 2007;13(01):12–20. doi:10.1017/S135561770707004X
34. Reyes A, Kaestner E, Bahrami N, et al. Cognitive phenotypes in temporal lobe epilepsy are associated with distinct patterns of white matter network abnormalities. Neurology. 2019;92(17):e1957–e1968. doi:10.1212/WNL.0000000000007370
35. Yang XY, Long LL, Xiao B. Role of video electroencephalogram in diagnosis and localization of epilepsy in children. Zhongguo Dang Dai Er Ke Za Zhi. 2016;18:971–974.
36. Proposal for revised classification of epilepsies and epileptic syndromes. Commission on Classification and Terminology of the International League Against Epilepsy. Epilepsia. 1989;30:389–399.
37. Fisher RS, Cross JH, French JA, et al. Operational classification of seizure types by the International League Against Epilepsy: position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):522–530. doi:10.1111/epi.13670
38. Cao L, Hai S, Lin X, et al. Comparison of the Saint Louis University Mental Status Examination, the Mini-Mental State Examination, and the Montreal Cognitive Assessment in detection of cognitive impairment in Chinese elderly from the geriatric department. J Am Med Dir Assoc. 2012;13(7):626–629. doi:10.1016/j.jamda.2012.05.003
39. Yao S, Chen H, Jiang L, Tam WAI-CHEONG-CARL. Replication of factor structure of Wechsler Adult Intelligence Scale-III Chinese version in Chinese mainland non-clinical and schizophrenia samples. Psychiatry Clin Neurosci. 2007;61(4):379–384. doi:10.1111/j.1440-1819.2007.01672.x
40. Witt J-A, Coras R, Becker AJ, Elger CE, Blumcke I, Helmstaedter C. When does conscious memory become dependent on the hippocampus? The role of memory load and the differential relevance of left hippocampal integrity for short- and long-term aspects of verbal memory performance. Brain Struct Funct. 2019;224(4):1599–1607. doi:10.1007/s00429-019-01857-1
41. Rai VK, Shukla G, Afsar M, et al. Memory, executive function and language function are similarly impaired in both temporal and extra temporal refractory epilepsy—A prospective study. Epilepsy Res. 2015;109:72–80. doi:10.1016/j.eplepsyres.2014.09.031
42. Yin S, Zhu X, Huang X, Li J. Visuospatial characteristics of an elderly Chinese population: results from the WAIS-R block design test. Front Aging Neurosci. 2015;7:17. doi:10.3389/fnagi.2015.00017
43. Wang K, Song -L-L, Cheung EFC, Lui SSY, Shum DHK, Chan RCK. Bipolar disorder and schizophrenia share a similar deficit in semantic inhibition: A meta-analysis based on Hayling Sentence Completion Test performance. Prog Neuropsychopharmacol Biol Psychiatry. 2013;46:153–160. doi:10.1016/j.pnpbp.2013.07.012
44. Jaimes-Bautista AG, Rodríguez-Camacho M, Martínez-Juárez IE, Rodríguez-Agudelo Y. Análisis cuantitativo y cualitativo de la fluidez verbal semántica en pacientes con epilepsia del lóbulo temporal. Neurología. 2020;35(1):1–9. doi:10.1016/j.nrl.2017.07.001
45. Tailby C, Kowalczyk MA, Jackson GD. Cognitive impairment in epilepsy: the role of reduced network flexibility. Ann Clin Transl Neurol. 2018;5(1):29–40. doi:10.1002/acn3.503
46. Yu Y, Chu L, Liu C, Huang M, Wang H. Alterations of white matter network in patients with left and right non-lesional temporal lobe epilepsy. Eur Radiol. 2019;29(12):6750–6761. doi:10.1007/s00330-019-06295-5
47. Winston GP, Stretton J, Sidhu MK, Symms MR, Thompson PJ, Duncan JS. Structural correlates of impaired working memory in hippocampal sclerosis. Epilepsia. 2013;54(7):1143–1153. doi:10.1111/epi.12193
48. Dinkelacker V, Valabregue R, Thivard L, et al. Hippocampal-thalamic wiring in medial temporal lobe epilepsy: enhanced connectivity per hippocampal voxel. Epilepsia. 2015;56:1217–1226.
49. Keller SS, Baker G, Downes JJ, Roberts RN. Quantitative MRI of the prefrontal cortex and executive function in patients with temporal lobe epilepsy. Epilepsy Behav. 2009;15(2):186–195. doi:10.1016/j.yebeh.2009.03.005
50. Whelan CD, Altmann A, Botia JA, et al. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain. 2018;141(2):391–408. doi:10.1093/brain/awx341
51. Kalil KL, Bau CH, Grevet EH, et al. Smoking is associated with lower performance in WAIS-R Block Design scores in adults with ADHD. Nicotine Tob Res. 2008;10(4):683–688. doi:10.1080/14622200801979019
52. Wang X, Yao S, Kirkpatrick B, Shi C, Yi J. Psychopathology and neuropsychological impairments in deficit and nondeficit schizophrenia of Chinese origin. Psychiatry Res. 2008;158(2):195–205. doi:10.1016/j.psychres.2006.09.007
53. Lupo M, Ferlazzo F, Aloise F, et al. New protocol for dissociating visuospatial working memory ability in reaching space and in navigational space. Behav Res Methods. 2018;50(4):1602–1613. doi:10.3758/s13428-018-1047-2
54. Chechlacz M, Mantini D, Gillebert CR, Humphreys GW. Asymmetrical white matter networks for attending to global versus local features. Cortex. 2015;72:54–64. doi:10.1016/j.cortex.2015.01.022
55. Zink DN, Miller JB, Caldwell JZK, Bird C, Banks SJ. The relationship between neuropsychological tests of visuospatial function and lobar cortical thickness. J Clin Exp Neuropsychol. 2018;40(5):518–527. doi:10.1080/13803395.2017.1384799
56. Reyes A, Holden HM, Chang Y-HA, et al. Impaired spatial pattern separation performance in temporal lobe epilepsy is associated with visuospatial memory deficits and hippocampal volume loss. Neuropsychologia. 2018;111:209–215. doi:10.1016/j.neuropsychologia.2018.02.009
57. Midorikawa A, Saito S, Itoi C, et al. Biased recognition of surprised facial expressions following awake craniotomy of a right temporal lobe tumor. Front Psychol. 2019;10:1908. doi:10.3389/fpsyg.2019.01908
58. Taylor MJ, Mills T, Smith ML, Pang EW. Face processing in adolescents with and without epilepsy. Int J Psychophysiol. 2008;68(2):94–103. doi:10.1016/j.ijpsycho.2007.12.006
59. Ives-Deliperi VL, Jokeit H. Impaired social cognition in epilepsy: A review of what we have learnt from neuroimaging studies. Front Neurol. 2019;10:940. doi:10.3389/fneur.2019.00940
60. Bitsch F, Berger P, Nagels A, Falkenberg I, Straube B. Impaired right temporoparietal junction-hippocampus connectivity in schizophrenia and its relevance for generating representations of other minds. Schizophr Bull. 2019;45:934–945.
61. Lomlomdjian C, Munera CP, Low DM, et al. The right hemisphere’s contribution to discourse processing: A study in temporal lobe epilepsy. Brain Lang. 2017;171:31–41. doi:10.1016/j.bandl.2017.04.001
62. Hotier S, Leroy F, Boisgontier J, et al. Social cognition in autism is associated with the neurodevelopment of the posterior superior temporal sulcus. Acta Psychiatr Scand. 2017;136(5):517–525. doi:10.1111/acps.12814
63. Bernhardt BC, Bernasconi N, Concha L, Bernasconi A. Cortical thickness analysis in temporal lobe epilepsy: reproducibility and relation to outcome. Neurology. 2010;74(22):1776–1784. doi:10.1212/WNL.0b013e3181e0f80a
64. Coan AC, Appenzeller S, Bonilha L, Li LM, Cendes F. Seizure frequency and lateralization affect progression of atrophy in temporal lobe epilepsy. Neurology. 2009;73(11):834–842. doi:10.1212/WNL.0b013e3181b783dd
65. Bernhardt BC, Hong S, Bernasconi A, Bernasconi N. Imaging structural and functional brain networks in temporal lobe epilepsy. Front Hum Neurosci. 2013;7:624. doi:10.3389/fnhum.2013.00624