Effect of Temporal Lobe Epilepsy on Auditory-motor Integration for Vocal Pitch Regulation: Evidence from Brain Functional Network Analysis

Author(s):  
Tianqi Wang ◽  
Hanjun Liu ◽  
Lan Wang ◽  
Manwa L. Ng ◽  
Hua Li ◽  
...  
Brain ◽  
2016 ◽  
Vol 139 (9) ◽  
pp. 2431-2440 ◽  
Author(s):  
Min Liu ◽  
Boris C. Bernhardt ◽  
Seok-Jun Hong ◽  
Benoit Caldairou ◽  
Andrea Bernasconi ◽  
...  

2020 ◽  
pp. 1-9
Author(s):  
Olivia Foesleitner ◽  
Benjamin Sigl ◽  
Victor Schmidbauer ◽  
Karl-Heinz Nenning ◽  
Ekaterina Pataraia ◽  
...  

OBJECTIVEEpilepsy surgery is the recommended treatment option for patients with drug-resistant temporal lobe epilepsy (TLE). This method offers a good chance of seizure freedom but carries a considerable risk of postoperative language impairment. The extremely variable neurocognitive profiles in surgical epilepsy patients cannot be fully explained by extent of resection, fiber integrity, or current task-based functional MRI (fMRI). In this study, the authors aimed to investigate pathology- and surgery-triggered language organization in TLE by using fMRI activation and network analysis as well as considering structural and neuropsychological measures.METHODSTwenty-eight patients with unilateral TLE (16 right, 12 left) underwent T1-weighted imaging, diffusion tensor imaging, and task-based language fMRI pre- and postoperatively (n = 15 anterior temporal lobectomy, n = 11 selective amygdalohippocampectomy, n = 2 focal resection). Twenty-two healthy subjects served as the control cohort. Functional connectivity, activation maps, and laterality indices for language dominance were analyzed from fMRI data. Postoperative fractional anisotropy values of 7 major tracts were calculated. Naming, semantic, and phonematic verbal fluency scores before and after surgery were correlated with imaging parameters.RESULTSfMRI network analysis revealed widespread, bihemispheric alterations in language architecture that were not captured by activation analysis. These network changes were found preoperatively and proceeded after surgery with characteristic patterns in the left and right TLEs. Ipsilesional fronto-temporal connectivity decreased in both left and right TLE. In left TLE specifically, preoperative atypical language dominance predicted better postoperative verbal fluency and naming function. In right TLE, left frontal language dominance correlated with good semantic verbal fluency before and after surgery, and left fronto-temporal language laterality predicted good naming outcome. Ongoing seizures after surgery (Engel classes ID–IV) were associated with naming deterioration irrespective of seizure side. Functional findings were not explained by the extent of resection or integrity of major white matter tracts.CONCLUSIONSFunctional connectivity analysis contributes unique insight into bihemispheric remodeling processes of language networks after epilepsy surgery, with characteristic findings in left and right TLE. Presurgical contralateral language recruitment is associated with better postsurgical language outcome in left and right TLE.


2019 ◽  
Vol 101 ◽  
pp. 106573
Author(s):  
Jinping Liu ◽  
Xia Zhou ◽  
Zhao Zhang ◽  
Lu Qin ◽  
Wei Ye ◽  
...  

Author(s):  
Ancor Sanz-García ◽  
Lorena Vega-Zelaya ◽  
Jesús Pastor ◽  
Cristina V. Torres ◽  
Rafael G. Sola ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaotong Liu ◽  
Fang Han ◽  
Rui Fu ◽  
Qingyun Wang ◽  
Guoming Luan

Epilepsy is a chronic brain disease with dysfunctional brain networks, and electroencephalography (EEG) is an important tool for epileptogenic zone (EZ) identification, with rich information about frequencies. Different frequency oscillations have different contributions to brain function, and cross-frequency coupling (CFC) has been found to exist within brain regions. Cross-channel and inter-channel analysis should be both focused because they help to analyze how epilepsy networks change and also localize the EZ. In this paper, we analyzed long-term stereo-electroencephalography (SEEG) data from 17 patients with temporal lobe epilepsy. Single-channel and cross-channel CFC features were combined to establish functional brain networks, and the network characteristics under different periods and the localization of EZ were analyzed. It was observed that theta–gamma phase amplitude coupling (PAC) within the electrodes in the seizure region increased during the ictal (p < 0.05). Theta–gamma and delta–gamma PAC of cross-channel were enhanced in the early and mid-late ictal, respectively. It was also found that there was a strong cross-frequency coupling state between channels of EZ in the functional network during the ictal, along with a more regular network than interictal. The accuracy rate of EZ localization was 82.4%. Overall, the combination of single-channel and multi-channel cross-band coupling analysis can help identify seizures and localize EZ for temporal lobe epilepsy. Rhythmic coupling reveals a relationship between the functional network and the seizure status of epilepsy.


2016 ◽  
Vol 6 (8) ◽  
pp. 607-620 ◽  
Author(s):  
Farras Abdelnour ◽  
Ashish Raj ◽  
Orrin Devinsky ◽  
Thomas Thesen

2019 ◽  
Vol 28 (4) ◽  
pp. 048702 ◽  
Author(s):  
Hai-Tao Yu ◽  
Li-Hui Cai ◽  
Xin-Yu Wu ◽  
Jiang Wang ◽  
Jing Liu ◽  
...  

2020 ◽  
Vol 26 ◽  
pp. 102254
Author(s):  
Victoria L. Morgan ◽  
Catie Chang ◽  
Dario J. Englot ◽  
Baxter P. Rogers

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