Cited by 61Dementia and Cognitive Impairment ResearchEpilepsy research and treatmentNeurological Disease Mechanisms and Treatments

Association of dementia risk with focal epilepsy and modifiable cardiovascular risk factors

Open access
Tai, Xin You, Torzillo, Emma, Lyall, Donald M., Manohar, Sanjay, Husain, Masud, Sen, Arjune·2023·JAMA Neurology

Abstract

Importance: Epilepsy has been associated with cognitive impairment and potentially dementia in older individuals. However, the extent to which epilepsy may increase dementia risk, how this compares with other neurological conditions, and how modifiable cardiovascular risk factors may affect this risk remain unclear. Objective: To compare the differential risks of subsequent dementia for focal epilepsy compared with stroke and migraine as well as healthy controls, stratified by cardiovascular risk. Design, Setting, and Participants: This cross-sectional study is based on data from the UK Biobank, a population-based cohort of more than 500 000 participants aged 38 to 72 years who underwent physiological measurements and cognitive testing and provided biological samples at 1 of 22 centers across the United Kingdom. Participants were eligible for this study if they were without dementia at baseline and had clinical data pertaining to a history of focal epilepsy, stroke, or migraine. The baseline assessment was performed from 2006 to 2010, and participants were followed up until 2021. Exposures: Mutually exclusive groups of participants with epilepsy, stroke, and migraine at baseline assessment and controls (who had none of these conditions). Individuals were divided into low, moderate, or high cardiovascular risk groups based on factors that included waist to hip ratio, history of hypertension, hypercholesterolemia, diabetes, and smoking pack-years. Main Outcomes and Measures: Incident all-cause dementia; measures of executive function; and brain total hippocampal, gray matter, and white matter hyperintensity volumes. Results: Of 495 149 participants (225 481 [45.5%] men; mean [SD] age, 57.5 [8.1] years), 3864 had a diagnosis of focal epilepsy only, 6397 had a history of stroke only, and 14 518 had migraine only. Executive function was comparable between participants with epilepsy and stroke and worse than the control and migraine group. Focal epilepsy was associated with a higher risk of developing dementia (hazard ratio [HR], 4.02; 95% CI, 3.45 to 4.68; P < .001), compared with stroke (HR, 2.56; 95% CI, 2.28 to 2.87; P < .001), or migraine (HR, 1.02; 95% CI, 0.85 to 1.21; P = .94). Participants with focal epilepsy and high cardiovascular risk were more than 13 times more likely to develop dementia (HR, 13.66; 95% CI, 10.61 to 17.60; P < .001) compared with controls with low cardiovascular risk. The imaging subsample included 42 353 participants. Focal epilepsy was associated with lower hippocampal volume (mean difference, −0.17; 95% CI, −0.02 to −0.32; t = −2.18; P = .03) and lower total gray matter volume (mean difference, −0.33; 95% CI, −0.18 to −0.48; t = −4.29; P < .001) compared with controls. There was no significant difference in white matter hyperintensity volume (mean difference, 0.10; 95% CI, −0.07 to 0.26; t = 1.14; P = .26). Conclusions and Relevance: In this study, focal epilepsy was associated with a significant risk of developing dementia, to a greater extent than stroke, which was magnified substantially in individuals with high cardiovascular risk. Further findings suggest that targeting modifiable cardiovascular risk factors may be an effective intervention to reduce dementia risk in individuals with epilepsy.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamaneurol.2023.0339

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A strong link between APOE4 and seizure risk has been well established.

    “A strong link between APOE4 and seizure risk has been well established (Sen et al., 2018; Tai et al., 2023; Vossel et al., 2017)”

    From APOE4 reduces hippocampal expression of phosphoglycerate kinase 1 and sodium potassium pump to enhance seizure susceptibility in mice (2026) · cites this paper as Tai et al., 2023

    The Methods (Statistical Analysis) and Results (Sensitivity Analysis; page unavailable) use APOE e4 status to assess or control for dementia risk in people with epilepsy. Neither passage addresses whether APOE4 is associated with seizure risk. Searches for APOE e4 with seizure and epilepsy risk found no such finding in our copy. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Research works printed but not linked: 53

  1. [1]Hussain SA, Haut SR, Lipton RB, Derby C, Markowitz SY, Shinnar S. Incidence of epilepsy in a racially diverse, community-dwelling, elderly cohort: results from the Einstein aging study. Epilepsy Res. 2006; 71(2-3): 195- 205. doi: 10.1016/j.eplepsyres.2006.06.018 16870396 · DOI
  2. [2]Ngugi AK, Bottomley C, Kleinschmidt I, Sander JW, Newton CR. Estimation of the burden of active and life-time epilepsy: a meta-analytic approach. Epilepsia. 2010; 51(5): 883- 890. doi: 10.1111/j.1528-1167.2009.02481.x 20067507 PMC3410521 · DOI · Paper page
  3. [3]Subota A, Pham T, Jetté N, Sauro K, Lorenzetti D, Holroyd-Leduc J. The association between dementia and epilepsy: a systematic review and meta-analysis. Epilepsia. 2017; 58(6): 962- 972. doi: 10.1111/epi.13744 28397967 · DOI
  4. [4]Breteler MMB, de Groot RRM, van Romunde LKJ, Hofman A. Risk of dementia in patients with Parkinson’s disease, epilepsy, and severe head trauma: a register-based follow-up study. Am J Epidemiol. 1995; 142(12): 1300- 1305. doi: 10.1093/oxfordjournals.aje.a117597 7503050 · DOI
  5. [5]Novak A, Vizjak K, Rakusa M. Cognitive impairment in people with epilepsy. J Clin Med. 2022; 11(1): 267. doi: 10.3390/jcm11010267 35012007 PMC8746065 · DOI
  6. [6]Tai XY, Koepp M, Duncan JS,. Hyperphosphorylated tau in patients with refractory epilepsy correlates with cognitive decline: a study of temporal lobe resections. Brain. 2016; 139(Pt 9): 2441- 2455. doi: 10.1093/brain/aww187 27497924 PMC5926008 · DOI · Paper page
  7. [7]Thom M, Liu JY, Thompson P,. Neurofibrillary tangle pathology and Braak staging in chronic epilepsy in relation to traumatic brain injury and hippocampal sclerosis: a post-mortem study. Brain. 2011; 134(Pt 10): 2969- 2981. doi: 10.1093/brain/awr209 21903728 PMC3187539 · DOI · Paper page
  8. [8]Tai XY, Bernhardt B, Thom M,. Review: neurodegenerative processes in temporal lobe epilepsy with hippocampal sclerosis: clinical, pathological and neuroimaging evidence. Neuropathol Appl Neurobiol. 2018; 44(1): 70- 90. doi: 10.1111/nan.12458 29288503 · DOI
  9. [10]Tai XY, Veldsman M, Lyall DM,. Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study. Lancet Healthy Longev. 2022; 3(6): e428- e436. doi: 10.1016/S2666-7568(22)00117-9 35711612 PMC9184258 · DOI
  10. [11]Stefan H. Epilepsy in the elderly: facts and challenges. Acta Neurol Scand. 2011; 124(4): 223- 237. doi: 10.1111/j.1600-0404.2010.01464.x 21143593 · DOI
  11. [12]Choi H, Pack A, Elkind MS, Longstreth WT Jr, Ton TG, Onchiri F. Predictors of incident epilepsy in older adults: the Cardiovascular Health Study. Neurology. 2017; 88(9): 870- 877. doi: 10.1212/WNL.0000000000003662 28130470 PMC5331867 · DOI
  12. [13]Johnson EL, Krauss GL, Lee AK,. Association between midlife risk factors and late-onset epilepsy: results from the Atherosclerosis Risk in Communities Study. JAMA Neurol. 2018; 75(11): 1375- 1382. doi: 10.1001/jamaneurol.2018.1935 30039175 PMC6248112 · DOI
  13. [14]van Tuijl JH, van Raak EPM, van Oostenbrugge RJ, Aldenkamp AP, Rouhl RPW. Cognition and quality of life in patients with poststroke epilepsy: a case-control study. Epilepsy Behav. 2020; 104(Pt B): 106444. doi: 10.1016/j.yebeh.2019.106444 31477536 · DOI
  14. [15]Martin RC, Griffith HR, Faught E, Gilliam F, Mackey M, Vogtle L. Cognitive functioning in community dwelling older adults with chronic partial epilepsy. Epilepsia. 2005; 46(2): 298- 303. doi: 10.1111/j.0013-9580.2005.02104.x 15679511 · DOI
  15. [16]Griffith HR, Martin RC, Bambara JK, Faught E, Vogtle LK, Marson DC. Cognitive functioning over 3 years in community dwelling older adults with chronic partial epilepsy. Epilepsy Res. 2007; 74(2-3): 91- 96. doi: 10.1016/j.eplepsyres.2007.01.002 17368001 · DOI
  16. [17]Miller LA, Galioto R, Tremont G,. Cognitive impairment in older adults with epilepsy: characterization and risk factor analysis. Epilepsy Behav. 2016; 56: 113- 117. doi: 10.1016/j.yebeh.2016.01.011 26859320 · DOI
  17. [18]Sudlow C, Gallacher J, Allen N,. UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015; 12(3): e1001779. doi: 10.1371/journal.pmed.1001779 25826379 PMC4380465 · DOI · Paper page
  18. [19]Littlejohns TJ, Holliday J, Gibson LM,. The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions. Nat Commun. 2020; 11(1): 2624. doi: 10.1038/s41467-020-15948-9 32457287 PMC7250878 · DOI · Paper page
  19. [20]Nickels KC, Wirrell EC. Cognitive and social outcomes of epileptic encephalopathies. Semin Pediatr Neurol. 2017; 24(4): 264- 275. doi: 10.1016/j.spen.2017.10.001 29249506 · DOI
  20. [21]Chowdhury FA, Silva R, Whatley B, Walker MC. Localisation in focal epilepsy: a practical guide. Pract Neurol. 2021; 21(6): 481- 491. doi: 10.1136/practneurol-2019-002341 34404748 · DOI
  21. [22]Veldsman M, Tai XY, Nichols T,. Cerebrovascular risk factors impact frontoparietal network integrity and executive function in healthy ageing. Nat Commun. 2020; 11(1): 4340. doi: 10.1038/s41467-020-18201-5 32895386 PMC7477206 · DOI
  22. [24]Tai XY, Chen C, Manohar S, Husain M. Impact of sleep duration on executive function and brain structure. Commun Biol. 2022; 5(1): 201. doi: 10.1038/s42003-022-03123-3 35241774 PMC8894343 · DOI
  23. [26]Townsend P. Deprivation*. J Soc Policy. 1987; 16: 125- 146. doi: 10.1017/S0047279400020341 · DOI · Paper page
  24. [27]Alfaro-Almagro F, Jenkinson M, Bangerter NK,. Image processing and quality control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage. 2018; 166: 400- 424. doi: 10.1016/j.neuroimage.2017.10.034 29079522 PMC5770339 · DOI
  25. [28]Dabbs K, Becker T, Jones J, Rutecki P, Seidenberg M, Hermann B. Brain structure and aging in chronic temporal lobe epilepsy. Epilepsia. 2012; 53(6): 1033- 1043. doi: 10.1111/j.1528-1167.2012.03447.x 22471353 PMC3710695 · DOI
  26. [29]Caciagli L, Bernasconi A, Wiebe S, Koepp MJ, Bernasconi N, Bernhardt BC. A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy: time is brain? Neurology. 2017; 89(5): 506- 516. doi: 10.1212/WNL.0000000000004176 28687722 PMC5539734 · DOI
  27. [30]Whelan CD, Altmann A, Botía JA,. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain. 2018; 141(2): 391- 408. doi: 10.1093/brain/awx341 29365066 PMC5837616 · DOI
  28. [31]McDonald RP, Bollen KA. Structural equations with latent variables. J Am Stat Assoc. 1990; 85(412): 1175- 1176. doi: 10.2307/2289630 · DOI
  29. [32]Nobis L, Manohar SG, Smith SM,. Hippocampal volume across age: nomograms derived from over 19,700 people in UK Biobank. Neuroimage Clin. 2019; 23: 101904. doi: 10.1016/j.nicl.2019.101904 31254939 PMC6603440 · DOI
  30. [34]Rosseel Y. Lavaan: an R package for structural equation modeling. J Stat Softw. 2012; 48(2): 1- 36. doi: 10.18637/jss.v048.i02 · DOI · Paper page
  31. [35]Griffith HR, Martin RC, Bambara JK, Marson DC, Faught E. Older adults with epilepsy demonstrate cognitive impairments compared with patients with amnestic mild cognitive impairment. Epilepsy Behav. 2006; 8(1): 161- 168. doi: 10.1016/j.yebeh.2005.09.004 16266829 · DOI
  32. [36]Piazzini A, Canevini MP, Turner K, Chifari R, Canger R. Elderly people and epilepsy: cognitive function. Epilepsia. 2006; 47(suppl 5): 82- 84. doi: 10.1111/j.1528-1167.2006.00884.x 17239113 · DOI
  33. [37]Sung C, Jones JE, Jackson DC,. Age-accelerated psychomotor slowing in temporal lobe epilepsy. Epilepsy Res. 2013; 103(2-3): 231- 236. doi: 10.1016/j.eplepsyres.2012.08.011 22989854 PMC3563928 · DOI
  34. [38]Witt JA, Werhahn KJ, Krämer G, Ruckes C, Trinka E, Helmstaedter C. Cognitive-behavioral screening in elderly patients with new-onset epilepsy before treatment. Acta Neurol Scand. 2014; 130(3): 172- 177. doi: 10.1111/ane.12260 24796793 · DOI
  35. [39]Keret O, Hoang TD, Xia F, Rosen HJ, Yaffe K. Association of late-onset unprovoked seizures of unknown etiology with the risk of developing dementia in older veterans. JAMA Neurol. 2020; 77(6): 710- 715. doi: 10.1001/jamaneurol.2020.0187 32150220 PMC7063560 · DOI
  36. [40]Tsai ZR, Zhang HW, Tseng CH,. Late-onset epilepsy and subsequent increased risk of dementia. Aging (Albany NY). 2021; 13(3): 3573- 3587. doi: 10.18632/aging.202299 33429365 PMC7906153 · DOI
  37. [41]Breteler MMB, van Duijn CM, Chandra V,; EURODEM Risk Factors Research Group. Medical history and the risk of Alzheimer’s disease: a collaborative re-analysis of case-control studies. Int J Epidemiol. 1991; 20(suppl 2): S36- S42. doi: 10.1093/ije/20.Supplement_2.S36 1833352 · DOI
  38. [42]Johnson EL, Krauss GL, Kucharska-Newton A,. Dementia in late-onset epilepsy: the Atherosclerosis Risk in Communities study. Neurology. 2020; 95(24): e3248- e3256. doi: 10.1212/WNL.0000000000011080 33097597 PMC7836657 · DOI
  39. [43]Ophir K, Ran B, Felix B, Amir G. Ten year cumulative incidence of dementia after late onset epilepsy of unknown etiology. J Clin Neurosci. 2021; 86: 247- 251. doi: 10.1016/j.jocn.2021.01.030 33775336 · DOI
  40. [44]Schnier C, Duncan S, Wilkinson T, Mbizvo GK, Chin RFM. A nationwide, retrospective, data-linkage, cohort study of epilepsy and incident dementia. Neurology. 2020; 95(12): e1686- e1693. doi: 10.1212/WNL.0000000000010358 32680951 · DOI
  41. [45]Carter MD, Weaver DF, Joudrey HR, Carter AO, Rockwood K. Epilepsy and antiepileptic drug use in elderly people as risk factors for dementia. J Neurol Sci. 2007; 252(2): 169- 172. doi: 10.1016/j.jns.2006.11.004 17182059 · DOI
  42. [46]Kokmen E, Beard CM, Chandra V, Offord KP, Schoenberg BS, Ballard DJ. Clinical risk factors for Alzheimer’s disease: a population-based case-control study. Neurology. 1991; 41(9): 1393- 1397. doi: 10.1212/WNL.41.9.1393 1891088 · DOI
  43. [47]Broe GA, Henderson AS, Creasey H,. A case-control study of Alzheimer’s disease in Australia. Neurology. 1990; 40(11): 1698- 1707. doi: 10.1212/WNL.40.11.1698 2146525 · DOI
  44. [48]Stefanidou M, Beiser AS, Himali JJ,. Bi-directional association between epilepsy and dementia: the Framingham Heart Study. Neurology. 2020; 95(24): e3241- e3247. doi: 10.1212/WNL.0000000000011077 33097599 PMC7836659 · DOI
  45. [49]Lopinto-Khoury C, Mintzer S. Antiepileptic drugs and markers of vascular risk. Curr Treat Options Neurol. 2010; 12(4): 300- 308. doi: 10.1007/s11940-010-0080-y 20842589 PMC2941234 · DOI
  46. [50]Kaestner E, Reyes A, Chen A,; Alzheimer’s Disease Neuroimaging Initiative. Atrophy and cognitive profiles in older adults with temporal lobe epilepsy are similar to mild cognitive impairment. Brain. 2021; 144(1): 236- 250. doi: 10.1093/brain/awaa397 33279986 PMC7880670 · DOI
  47. [51]Sen A, Capelli V, Husain M. Cognition and dementia in older patients with epilepsy. Brain. 2018; 141(6): 1592- 1608. doi: 10.1093/brain/awy022 29506031 PMC5972564 · DOI · Paper page
  48. [52]Arvanitakis Z, Capuano AW, Leurgans SE, Bennett DA, Schneider JA. Relation of cerebral vessel disease to Alzheimer’s disease dementia and cognitive function in elderly people: a cross-sectional study. Lancet Neurol. 2016; 15(9): 934- 943. doi: 10.1016/S1474-4422(16)30029-1 27312738 PMC4969105 · DOI · Paper page
  49. [53]Boyle PA, Wang T, Yu L,. To what degree is late life cognitive decline driven by age-related neuropathologies? Brain. 2021; 144(7): 2166- 2175. doi: 10.1093/brain/awab092 33742668 PMC8370442 · DOI
  50. [54]Englot DJ, Konrad PE, Morgan VL. Regional and global connectivity disturbances in focal epilepsy, related neurocognitive sequelae, and potential mechanistic underpinnings. Epilepsia. 2016; 57(10): 1546- 1557. doi: 10.1111/epi.13510 27554793 PMC5056148 · DOI
  51. [56]Sibbett RA, Russ TC, Deary IJ, Starr JM. Dementia ascertainment using existing data in UK longitudinal and cohort studies: a systematic review of methodology. BMC Psychiatry. 2017; 17(1): 239. doi: 10.1186/s12888-017-1401-4 28673273 PMC5496178 · DOI
  52. [57]Wilkinson T, Schnier C, Bush K,; Dementias Platform UK and UK Biobank. Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data. Eur J Epidemiol. 2019; 34(6): 557- 565. doi: 10.1007/s10654-019-00499-1 30806901 PMC6497624 · DOI · Paper page
  53. [58]Fry A, Littlejohns TJ, Sudlow C,. Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. Am J Epidemiol. 2017; 186(9): 1026- 1034. doi: 10.1093/aje/kwx246 28641372 PMC5860371 · DOI · Paper page

Cited by

Sorted by citations

Authors
Tai, X. Y., Torzillo, E., Lyall, D. M., Manohar, S., Husain, M., & Sen, A.
Affiliations
  • John Radcliffe Hospital (GB)
  • National Hospital for Neurology and Neurosurgery (GB)
  • University of Glasgow (GB)
  • Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
Corresponding author
Tai, Xin You
Venue
JAMA Neurology
Published
2023-05-01
Volume
80
Issue
5
Pages
445
ISSN
2168-6149 (ISSN-L)
OpenAlex
W4361000277
Cited by
61
References
3
Citations by year
2026: 21 · 2025: 25 · 2024: 8 · 2023: 7
FWCI
11.74
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JAMA Neurology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, other-oa)
Funders
  • Wellcome Trust
  • National Institute for Health and Care Research
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
  • Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
Keywords
focal epilepsy, dementia risk, cardiovascular risk factors, stroke, migraine, executive function, white matter hyperintensities, hippocampal volume, gray matter volume, brain atrophy, cognitive impairment, older adults, hypertension, diabetes mellitus, hypercholesterolemia, smoking, waist-to-hip ratio, UK Biobank, incident dementia, neurodegeneration, neuroinflammation
MeSH terms
Heart Disease Risk Factors, Aged, Cardiovascular Diseases, Cross-Sectional Studies, Dementia, Epilepsy, Epilepsies, Partial, Female, Humans, Male, Middle Aged, Migraine Disorders, Risk Factors, Stroke

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review