Presented During:
Thursday, June 27, 2024: 11:30 AM - 12:45 PM
COEX
Room:
Grand Ballroom 101-102
Poster No:
406
Submission Type:
Abstract Submission
Authors:
Sara Larivière1, Ke Xie2, Frederic Schaper1, Jessica Royer3, William Drew4, Sheena Baratono5, Yifei Weng6, Zhengge Wang6, Zhiqiang Zhang7, Boris Bernhardt8, Michael Fox1
Institutions:
1Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 2McGill University, Montreal, Quebec, 3Montreal Neurological Institute and Hospital, Montreal, QC, 4Brigham and Women's Hospital, Brookline, MA, 5Brigham and Women's Hospital, Boston, MA, 6Nanjing University, Nanjing, Nanjing, 7Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, Jiangsu, 8Montreal Neurological Institute and Hospital, Montreal, Quebec
First Author:
Sara Larivière
Brigham and Women’s Hospital, Harvard Medical School
Boston, MA
Co-Author(s):
Ke Xie
McGill University
Montreal, Quebec
Frederic Schaper
Brigham and Women’s Hospital, Harvard Medical School
Boston, MA
Jessica Royer
Montreal Neurological Institute and Hospital
Montreal, QC
Zhiqiang Zhang
Jinling Hospital, the First School of Clinical Medicine, Southern Medical University
Nanjing, Jiangsu
Boris Bernhardt
Montreal Neurological Institute and Hospital
Montreal, Quebec
Michael Fox
Brigham and Women’s Hospital, Harvard Medical School
Boston, MA
Introduction:
Surgery is the most effective treatment to control seizures in pharmaco-resistant temporal lobe epilepsy (TLE) [1-3]. Although this approach focuses on the hippocampus and nearby temporal lobe structures, most patients also show widespread cortical atrophy beyond this disease epicenter. How these alterations elsewhere in the brain are affected by a surgical lesion, however, remains a debate. Here, we assessed whether functional connectivity from surgical lesion locations map to brain networks that are associated with cortical atrophy before and after surgery.
Methods:
We studied adults with pharmaco-resistant TLE (n=37) who underwent anterior temporal lobectomy as a treatment of their seizures. All patients underwent longitudinal MRI before and after surgery. We segmented patient-specific surgical lesions using the postoperative T1-weighted MRIs (Figure 1A). Using an atlas of normative connectivity (n=1000), we identified the brain networks that were functionally connected to each patient's surgical lesion (Figure 1B) [4, 5]. We then tested whether these brain networks could differentiate cortical regions that are atrophied before surgery, after surgery, or at both time points.
Results:
Surgical lesions in all patients were negatively correlated to fronto-parietal regions (henceforth, "anticorrelated lesion network") and positively correlated to the temporo-limbic, medial prefrontal, precuneus, and inferior parietal cortices (henceforth, "positive lesion network"; Figure 1B). Individualized pre- and postoperative cortical atrophy maps were then obtained by comparing cortical thickness in each patient with TLE versus a group of age- and sex-matched healthy controls (n=31). Preoperative cortical atrophy across individual patients peaked in bilateral fronto-central regions (maximum overlap of 51.3%), whereas postoperative atrophy peaked in ipsilateral temporo-insular regions (maximum overlap of 100%; Figure 2A). Testing for morphological associations with the anticorrelated and positive lesion networks revealed significantly more preoperative cortical atrophy in the anticorrelated, relative to the positive, network (t=–4.16, p=1.90×10–4). In contrast, more postoperative cortical atrophy was observed in the positive, relative to anticorrelated, network (t=10.10, p=4.79×10–12; Figure 2B). Cortical atrophy that was observed in the same regions before and after surgery showed no network preference (t=1.95, p=0.059).
Conclusions:
Brain networks functionally connected to surgical lesions in TLE differentiate pre- from postoperative cortical atrophy patterns. Our findings suggest that atrophy before and after surgery may serve different functions (e.g., compensation vs. disconnection).
Disorders of the Nervous System:
Neurodevelopmental/ Early Life (eg. ADHD, autism) 1
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling 2
Keywords:
Computational Neuroscience
Epilepsy
FUNCTIONAL MRI
Other - surgery, lesions
1|2Indicates the priority used for review
Provide references using author date format
[1] Chen, Z. (2018), 'Treatment Outcomes in Patients With Newly Diagnosed Epilepsy Treated With Established and New Antiepileptic Drugs: A 30-Year Longitudinal Cohort Study', Journal of the American Medical Association Neurology, vol. 75, no. 3, pp. 279-286.
[2] Engel, J. (2012), 'Early surgical therapy for drug-resistant temporal lobe epilepsy: a randomized trial', Journal of the American Medical Association, vol. 307, no. 9, pp. 922-930.
[3] Wiebe, S. (2001), 'A randomized, controlled trial of surgery for temporal-lobe epilepsy', New England Journal of Medicine, vol. 345, no. 5, pp. 311-318.
[4] Holmes, A.J. (2015), 'Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures'. Scientific Data, vol. 2, no. 1, pp. 150031.
[5] Fox, M.D. (2018), 'Mapping symptoms to brain networks with the human connectome', New England Journal of Medicine, vol. 379, no. 23, pp. 2237-2245.