Complementary structural and functional abnormalities to localise epileptogenic tissue.
Complementary structural and functional abnormalities to localise epileptogenic tissue.
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DOI:
10.1016/j.ebiom.2023.104848
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发表时间:
2023-11
期刊:
影响因子:
11.1
通讯作者:
中科院分区:
文献类型:
--
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When investigating suitability for epilepsy surgery, people with drug-refractory focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure onset. Diffusion-weighted magnetic resonance imaging (dMRI) may be acquired to identify key white matter tracts for surgical avoidance. Here, we investigate whether structural connectivity abnormalities, inferred from dMRI, may be used in conjunction with functional iEEG abnormalities to aid localisation of the epileptogenic zone (EZ), improving surgical outcomes in epilepsy. We retrospectively investigated data from 43 patients (42% female) with epilepsy who had surgery following iEEG. Twenty-five patients (58%) were free from disabling seizures (ILAE 1 or 2) at one year. Interictal iEEG functional, and dMRI structural connectivity abnormalities were quantified by comparison to a normative map and healthy controls. We explored whether the resection of maximal abnormalities related to improved surgical outcomes, in both modalities individually and concurrently. Additionally, we suggest how connectivity abnormalities may inform the placement of iEEG electrodes pre-surgically using a patient case study. Seizure freedom was 15 times more likely in patients with resection of maximal connectivity and iEEG abnormalities (p = 0.008). Both modalities separately distinguished patient surgical outcome groups and when used simultaneously, a decision tree correctly separated 36 of 43 (84%) patients. Our results suggest that both connectivity and iEEG abnormalities may localise epileptogenic tissue, and that these two modalities may provide complementary information in pre-surgical evaluations. This research was funded by , in Cloud Computing for Big Data, , , and .
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DOI:
10.1016/s1474-4422(15)00383-x
发表时间:
2016-04
期刊:
The Lancet. Neurology
影响因子:
--
作者:
Duncan JS;Winston GP;Koepp MJ;Ourselin S
通讯作者:
Ourselin S
影响因子:
14.5
作者:
Frauscher, Birgit;von Ellenrieder, Nicolas;Gotman, Jean
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Gotman, Jean
影响因子:
14.5
作者:
Hatton, Sean N.;Huynh, Khoa H.;McDonald, Carrie R.
通讯作者:
McDonald, Carrie R.
影响因子:
3.4
作者:
通讯作者:
--
影响因子:
5.6
作者:
Bell ML;Rao S;So EL;Trenerry M;Kazemi N;Stead SM;Cascino G;Marsh R;Meyer FB;Watson RE;Giannini C;Worrell GA
通讯作者:
Worrell GA