Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2024 Mar 6:2024.03.02.583073.
doi: 10.1101/2024.03.02.583073.

A WORLDWIDE ENIGMA STUDY ON EPILEPSY-RELATED GRAY AND WHITE MATTER COMPROMISE ACROSS THE ADULT LIFESPAN

Judy Chen  1 Alexander Ngo  1 Raúl Rodríguez-Cruces  1 Jessica Royer  1 Maria Eugenia Caligiuri  2 Antonio Gambardella  2   3 Luis Concha  4 Simon S Keller  5   6 Fernando Cendes  7 Clarissa L Yasuda  7 Marina K M Alvim  7 Leonardo Bonilha  8 Ezequiel Gleichgerrcht  8 Niels K Focke  9 Barbara Kreilkamp  9 Martin Domin  10 Felix von Podewils  11 Soenke Langner  12 Christian Rummel  13 Roland Wiest  13 Pascal Martin  14 Raviteja Kotikalapudi  14   9 Benjamin Bender  15 Terence J O'Brien  16   17 Benjamin Sinclair  16   17 Lucy Vivash  16   17 Patrick Kwan  17 Patricia M Desmond  17 Elaine Lui  17 Gian Marco Duma  18 Paolo Bonanni  18 Alice Ballerini  19 Anna Elisabetta Vaudano  20   19 Stefano Meletti  20   19 Manuela Tondelli  19   21 Saud Alhusaini  22   23 Colin P Doherty  24   25 Gianpiero L Cavalleri  22   25 Norman Delanty  22   25 Reetta Kälviäinen  26   27 Graeme D Jackson  28 Magdalena Kowalczyk  28 Mario Mascalchi  29 Mira Semmelroch  28 Rhys H Thomas  30 Hamid Soltanian-Zadeh  31   32 Esmaeil Davoodi-Bojd  33 Junsong Zhang  34 Matteo Lenge  35 Renzo Guerrini  35   36 Emanuele Bartolini  37 Khalid Hamandi  38   39 Sonya Foley  38 Theodor Rüber  40   41 Tobias Bauer  40   41 Bernd Weber  42 Benoit Caldairou  43 Chantal Depondt  44 Julie Absil  45 Sarah J A Carr  46 Eugenio Abela  46 Mark P Richardson  46 Orrin Devinsky  47 Heath Pardoe  47 Mariasavina Severino  48 Pasquale Striano  48   49 Domenico Tortora  49 Erik Kaestner  50 Sean N Hatton  51 Donatello Arienzo  50 Sjoerd B Vos  52   53   54 Mina Ryten  52   55 Peter N Taylor  52   56 John S Duncan  52   53 Christopher D Whelan  22 Marian Galovic  57 Gavin P Winston  52   53   58 Sophia I Thomopoulos  59 Paul M Thompson  59 Sanjay M Sisodiya  52   53 Angelo Labate  60 Carrie R McDonald  50 Lorenzo Caciagli  52   55 Neda Bernasconi  43 Andrea Bernasconi  43 Sara Larivière  1   61 Dewi Schrader  62 Boris C Bernhardt  1
Affiliations

A WORLDWIDE ENIGMA STUDY ON EPILEPSY-RELATED GRAY AND WHITE MATTER COMPROMISE ACROSS THE ADULT LIFESPAN

Judy Chen et al. bioRxiv. .

Abstract

Objectives: Temporal lobe epilepsy (TLE) is commonly associated with mesiotemporal pathology and widespread alterations of grey and white matter structures. Evidence supports a progressive condition although the temporal evolution of TLE is poorly defined. This ENIGMA-Epilepsy study utilized multimodal magnetic resonance imaging (MRI) data to investigate structural alterations in TLE patients across the adult lifespan. We charted both grey and white matter changes and explored the covariance of age-related alterations in both compartments.

Methods: We studied 769 TLE patients and 885 healthy controls across an age range of 17-73 years, from multiple international sites. To assess potentially non-linear lifespan changes in TLE, we harmonized data and combined median split assessments with cross-sectional sliding window analyses of grey and white matter age-related changes. Covariance analyses examined the coupling of grey and white matter lifespan curves.

Results: In TLE, age was associated with a robust grey matter thickness/volume decline across a broad cortico-subcortical territory, extending beyond the mesiotemporal disease epicentre. White matter changes were also widespread across multiple tracts with peak effects in temporo-limbic fibers. While changes spanned the adult time window, changes accelerated in cortical thickness, subcortical volume, and fractional anisotropy (all decreased), and mean diffusivity (increased) after age 55 years. Covariance analyses revealed strong limbic associations between white matter tracts and subcortical structures with cortical regions.

Conclusions: This study highlights the profound impact of TLE on lifespan changes in grey and white matter structures, with an acceleration of aging-related processes in later decades of life. Our findings motivate future longitudinal studies across the lifespan and emphasize the importance of prompt diagnosis as well as intervention in patients.

Keywords: Epilepsy; aging; atrophy; lifespan; multimodal; temporal lobe epilepsy.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.. Grey matter morphometry via median-split analysis and sliding-age window trajectories in temporal lobe epilepsy (TLE).
(A) Median age of 35 was chosen as the division into young and old cohorts. All right-sided temporal lobe epilepsy (TLE) patients were flipped, with results demonstrating significant left hippocampal reductions in both young and old age cohorts, and increasing occipital grey matter atrophy with age as seen in the old cohort. There are strong group by age interaction with significant subcortical regions and some cortical involvement in the parieto-occipital regions. (B) After z-scoring cortical thickness and subcortical volume measures, windows of ±2 years of the age of interest were chosen, and the mean values for cortical (68 total brain regions) and subcortical regions (12 subcortical grey matter regions and bilateral ventricles and hippocampi) following the Desikan-Killiany atlas were multiplied by normally distributed weights to yield a weighted average. Global weighted-average z-scores were then plotted across age to illustrate lifespan trajectory. (C) In temporal lobe epilepsy (TLE) patients, older age especially past age 55 seems to be correlated with an accelerated and pronounced decline in cortical thickness. The hippocampi and other subcortical regions also show a marked decreased volume with aging.
Figure 2.
Figure 2.. White matter alterations via median-split analysis and sliding-age window trajectories in temporal lobe epilepsy (TLE).
(A) Median age of 35 was chosen as the division into young and old cohorts. All right-sided temporal lobe epilepsy (TLE) patients were flipped, with results demonstrating almost all white matter tracts significantly decreased for fractional anisotropy (FA) measures and increased for mean diffusivity (MD) measures for both young and old TLE cohorts against their age-matched controls. (B) Average age trajectories were calculated for ipsilateral and contralateral white matter tracts associated with the corpus callosum, limbic, cortical-subcortical, and cortical regions. All tracts demonstrate an accelerated and pronounced decline in FA measures past age 50 and a similarly pronounced increase in MD measures past age 60.
Figure 3.
Figure 3.. Sliding age-window structural covariance correlations in temporal lobe epilepsy (TLE).
Correlograms (center) showing the correlational of each region-associated age trajectory across the lifespan for CT, SVC, FA, and MD were calculated. The top 10% (red) and bottom 10% (blue) of connections were preserved to identify regions more closely associated with each grey or white matter measures. Scatter plots demonstrate the age-dependent (grey) distribution of z-score values against controls.

Similar articles

References

    1. Feigin VL, Nichols E, Alam T, et al. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18(5):459–480. - PMC - PubMed
    1. Wiebe S, Blume WT, Girvin JP, Eliasziw M. A randomized, controlled trial of surgery for temporal-lobe epilepsy. N Engl J Med. 2001;345(5):311–318. - PubMed
    1. Tavakol S, Royer J, Lowe AJ, et al. Neuroimaging and connectomics of drug-resistant epilepsy at multiple scales: From focal lesions to macroscale networks. Epilepsia. 2019;60(4):593–604. - PMC - PubMed
    1. Bernhardt BC, Bonilha L, Gross DW. Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy. Epilepsy Behav. 2015;50:162–170. - PubMed
    1. Sisodiya SM, Whelan CD, Hatton SN, et al. The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Hum Brain Mapp. 2020;43(1):113–128. - PMC - PubMed

Publication types