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. 2024 Apr;65(4):1072-1091.
doi: 10.1111/epi.17881. Epub 2024 Feb 27.

Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study

Rebecca Kerestes  1 Andrew Perry  2 Lucy Vivash  1 Terence J O'Brien  1   3 Marina K M Alvim  4   5 Donatello Arienzo  6 Ítalo K Aventurato  4   5 Alice Ballerini  7 Gabriel F Baltazar  4   5 Núria Bargalló  8   9   10 Benjamin Bender  11 Ricardo Brioschi  4   5 Eva Bürkle  11 Maria Eugenia Caligiuri  12 Fernando Cendes  4   5 Jane de Tisi  13 John S Duncan  13 Jerome P Engel Jr  14 Sonya Foley  15 Francesco Fortunato  16 Antonio Gambardella  12   16 Thea Giacomini  17 Renzo Guerrini  18   19 Gerard Hall  20 Khalid Hamandi  15   21 Victoria Ives-Deliperi  22 Rafael B João  4   5 Simon S Keller  23   24 Benedict Kleiser  25 Angelo Labate  26   27 Matteo Lenge  18 Cassandra Marotta  28 Pascal Martin  25 Mario Mascalchi  29   30 Stefano Meletti  7   31 Conor Owens-Walton  32 Costanza B Parodi  33 Saül Pascual-Diaz  8 David Powell  2 Jun Rao  6 Michael Rebsamen  34 Johannes Reiter  35   36 Antonella Riva  33 Theodor Rüber  35   36 Christian Rummel  34 Freda Scheffler  22   37 Mariasavina Severino  33 Lucas S Silva  4   5 Richard J Staba  14 Dan J Stein  38 Pasquale Striano  17   33 Peter N Taylor  13   20 Sophia I Thomopoulos  32 Paul M Thompson  32 Domenico Tortora  33 Anna Elisabetta Vaudano  7   31 Bernd Weber  39 Roland Wiest  34 Gavin P Winston  13   40   41 Clarissa L Yasuda  4   5 Hong Zheng  32 Carrie R McDonald  6   42 Sanjay M Sisodiya  13   43 Ian H Harding  1   44
Affiliations

Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study

Rebecca Kerestes et al. Epilepsia. 2024 Apr.

Erratum in

Abstract

Objective: The intricate neuroanatomical structure of the cerebellum is of longstanding interest in epilepsy, but has been poorly characterized within the current corticocentric models of this disease. We quantified cross-sectional regional cerebellar lobule volumes using structural magnetic resonance imaging in 1602 adults with epilepsy and 1022 healthy controls across 22 sites from the global ENIGMA-Epilepsy working group.

Methods: A state-of-the-art deep learning-based approach was employed that parcellates the cerebellum into 28 neuroanatomical subregions. Linear mixed models compared total and regional cerebellar volume in (1) all epilepsies, (2) temporal lobe epilepsy with hippocampal sclerosis (TLE-HS), (3) nonlesional temporal lobe epilepsy, (4) genetic generalized epilepsy, and (5) extratemporal focal epilepsy (ETLE). Relationships were examined for cerebellar volume versus age at seizure onset, duration of epilepsy, phenytoin treatment, and cerebral cortical thickness.

Results: Across all epilepsies, reduced total cerebellar volume was observed (d = .42). Maximum volume loss was observed in the corpus medullare (dmax = .49) and posterior lobe gray matter regions, including bilateral lobules VIIB (dmax = .47), crus I/II (dmax = .39), VIIIA (dmax = .45), and VIIIB (dmax = .40). Earlier age at seizure onset ( η ρ max 2 = .05) and longer epilepsy duration ( η ρ max 2 = .06) correlated with reduced volume in these regions. Findings were most pronounced in TLE-HS and ETLE, with distinct neuroanatomical profiles observed in the posterior lobe. Phenytoin treatment was associated with reduced posterior lobe volume. Cerebellum volume correlated with cerebral cortical thinning more strongly in the epilepsy cohort than in controls.

Significance: We provide robust evidence of deep cerebellar and posterior lobe subregional gray matter volume loss in patients with chronic epilepsy. Volume loss was maximal for posterior subregions implicated in nonmotor functions, relative to motor regions of both the anterior and posterior lobe. Associations between cerebral and cerebellar changes, and variability of neuroanatomical profiles across epilepsy syndromes argue for more precise incorporation of cerebellar subregional damage into neurobiological models of epilepsy.

Keywords: MRI; anterior lobe; cerebellum; epilepsy; posterior lobe.

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Conflict of interest statement

CONFLICT OF INTEREST STATEMENT

L.Vivash. reports research funding from Biogen Australia, Life Molecular Imaging and Eisai.

T.J. O’Brien has received consulting fees from Eisai, UCB, Supernus, Biogen, ES Therapeutics, Epidarex, LivaNova, Kinoxis Therapeutics. He participates on the Data Safety Monitoring Board for ES Therapeutics, Kinoxis Therapeutics. He has served as President (past) for Epilepsy Society of Australia, and is the current chair for Australian Epilepsy Clinical Trials Network (AECTN) and the American Epilepsy Society (Translational Research Committee).

B. Bender is the cofounder of AIRAmed GmbH, a company that offers brain segmentation.

P. Martin. has received honorary as an advisory board member from Biogen unrelated to the submitted work.

P. Striano received speaker fees and advisory boards for Biomarin, Zogenyx, GW Pharmaceuticals; research funding by ENECTA BV, GW Pharmaceuticals, Kolfarma srl., Eisai.

P.M. Thompson received a research grant from Biogen, Inc., and was a paid consultant for Kairos Venture Capital, Inc., USA, for projects unrelated to this work.

C.L. Yasuda has received personal payments from Torrent, Zodiac and UCB.

S.M Sisodiya has received research grants from UCB Pharma and Jazz Pharmaceuticals, speakers fees from UCB, Eisai and Zogenix; honoraria or other fees from Eisai, Jazz Pharma, Stoke Therapeutics, UCB and Zogenix. (payments to institution)

The remaining authors have no conflicts of interest.

Figures

Fig 1.
Fig 1.
Atlas-based effect size (Cohen’s d) maps, MNI-based coronal slices (top: y= −72; bottom: y= −54) and forest plots (Cohen’s d +/− 95% confidence interval) of the significant between-group differences for all epilepsies vs. healthy controls (HC). Note: positive effect sizes reflect epilepsy patients < HC. Regions significant at P < 0.05 FDR corrected are depicted in color (see Table S5 for full tabulation).
Fig 2.
Fig 2.
Scatter-plots showing the association between a) duration of illness and b) age at seizure onset, and total cerebellar volume in epilepsy patients, P < 0.001.
Fig 3.
Fig 3.
Atlas-based effect size (Cohen’s d) maps, MNI-based coronal slices (top: y= −72; bottom: y= −54) and forest plots (Cohen’s d +/− 95% confidence interval) of the significant between-group differences for TLE-HS-L (top panel) and TLE-HS-R (lower panel) vs. healthy controls (HC). Positive effect sizes reflect TLE-HS-L and TLE-HS-R < HC respectively. Regions significant at P < 0.05 FDR corrected are depicted in color (red-yellow for epilepsy < HC; blue for epilepsy > HC); see Table S6 for full tabulation).
Fig 4.
Fig 4.
Atlas-based effect size (Cohen’s d) maps, MNI-based coronal slices (top: y= −72; bottom: y= −54) and forest plots (Cohen’s d +/− 95% confidence interval) of the significant between-group differences for GGE vs. healthy controls (HC). Note: positive effect sizes reflect epilepsy < HC. Regions significant at P < 0.05 FDR corrected are depicted in color. See Table S8 for full tabulation.
Fig 5.
Fig 5.
Atlas-based effect size (Cohen’s d) maps, MNI-based coronal slices (top: y= −72; bottom: y= −54) and forest plots (Cohen’s d +/− 95% confidence interval) of the significant between-group differences for ETLE vs. healthy controls (HC). Note: positive effect sizes reflect epilepsy patients < HC. Regions significant at P < 0.05 FDR corrected are depicted in color (red-yellow for ETLE < HC; blue for ETLE > HC); see Table S9 for full tabulation.

Update of

  • Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study.
    Kerestes R, Perry A, Vivash L, O'Brien TJ, Alvim MKM, Arienzo D, Aventurato ÍK, Ballerini A, Baltazar GF, Bargalló N, Bender B, Brioschi R, Bürkle E, Caligiuri ME, Cendes F, de Tisi J, Duncan JS, Engel JP Jr, Foley S, Fortunato F, Gambardella A, Giacomini T, Guerrini R, Hall G, Hamandi K, Ives-Deliperi V, João RB, Keller SS, Kleiser B, Labate A, Lenge M, Marotta C, Martin P, Mascalchi M, Meletti S, Owens-Walton C, Parodi CB, Pascual-Diaz S, Powell D, Rao J, Rebsamen M, Reiter J, Riva A, Rüber T, Rummel C, Scheffler F, Severino M, Silva LS, Staba RJ, Stein DJ, Striano P, Taylor PN, Thomopoulos SI, Thompson PM, Tortora D, Vaudano AE, Weber B, Wiest R, Winston GP, Yasuda CL, Zheng H, McDonald CR, Sisodiya SM, Harding IH; ENIGMA-Epilepsy Working Group. Kerestes R, et al. bioRxiv [Preprint]. 2023 Oct 23:2023.10.21.562994. doi: 10.1101/2023.10.21.562994. bioRxiv. 2023. Update in: Epilepsia. 2024 Apr;65(4):1072-1091. doi: 10.1111/epi.17881. PMID: 37961570 Free PMC article. Updated. Preprint.

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