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Publisher Correction: Personalized structural image analysis in patients with temporal lobe epilepsy.

Scientific reports

Rummel C, Slavova N, Seiler A, Abela E, Hauf M, Burren Y, Weisstanner C, Vulliemoz S, Seeck M, Schindler K, Wiest R.
PMID: 29317667
Sci Rep. 2018 Jan 09;8(1):681. doi: 10.1038/s41598-017-16213-8.

A correction to this article has been published and is linked from the HTML version of this paper. The error has been fixed in the paper.

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Rummel C, Slavova N, Seiler A, et al. Publisher Correction: Personalized structural image analysis in patients with temporal lobe epilepsy. Sci Rep. 2018;8(1):681doi: 10.1038/s41598-017-16213-8.
Rummel, C., Slavova, N., Seiler, A., Abela, E., Hauf, M., Burren, Y., Weisstanner, C., Vulliemoz, S., Seeck, M., Schindler, K., & Wiest, R. (2018). Publisher Correction: Personalized structural image analysis in patients with temporal lobe epilepsy. Scientific reports, 8(1), 681. https://doi.org/10.1038/s41598-017-16213-8
Rummel, Christian, et al. "Publisher Correction: Personalized structural image analysis in patients with temporal lobe epilepsy." Scientific reports vol. 8,1 (2018): 681. doi: https://doi.org/10.1038/s41598-017-16213-8
Rummel C, Slavova N, Seiler A, Abela E, Hauf M, Burren Y, Weisstanner C, Vulliemoz S, Seeck M, Schindler K, Wiest R. Publisher Correction: Personalized structural image analysis in patients with temporal lobe epilepsy. Sci Rep. 2018 Jan 09;8(1):681. doi: 10.1038/s41598-017-16213-8. PMID: 29317667; PMCID: PMC5760623.
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Male infertility: the intracellular bacterial hypothesis.

New microbes and new infections

Stojanov M, Baud D, Greub G, Vulliemoz N.
PMID: 30224969
New Microbes New Infect. 2018 Aug 22;26:37-41. doi: 10.1016/j.nmni.2018.08.012. eCollection 2018 Nov.

Infertility is a disease that affects one in seven couples. As male infertility affects approximately 30% of these couples with an unknown cause in half the cases, it represents a major public health concern. The classic treatment of male...

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Stojanov M, Baud D, Greub G, et al. Male infertility: the intracellular bacterial hypothesis. New Microbes New Infect. 2018;26:37-41doi: 10.1016/j.nmni.2018.08.012.
Stojanov, M., Baud, D., Greub, G., & Vulliemoz, N. (2018). Male infertility: the intracellular bacterial hypothesis. New microbes and new infections, 2637-41. https://doi.org/10.1016/j.nmni.2018.08.012
Stojanov, M, et al. "Male infertility: the intracellular bacterial hypothesis." New microbes and new infections vol. 26 (2018): 37-41. doi: https://doi.org/10.1016/j.nmni.2018.08.012
Stojanov M, Baud D, Greub G, Vulliemoz N. Male infertility: the intracellular bacterial hypothesis. New Microbes New Infect. 2018 Aug 22;26:37-41. doi: 10.1016/j.nmni.2018.08.012. eCollection 2018 Nov. PMID: 30224969; PMCID: PMC6138880.
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Automated long-term EEG analysis to localize the epileptogenic zone.

Epilepsia open

van Mierlo P, Strobbe G, Keereman V, Birot G, Gadeyne S, Gschwind M, Carrette E, Meurs A, Van Roost D, Vonck K, Seeck M, Vulliémoz S, Boon P.
PMID: 29588961
Epilepsia Open. 2017 Jun 30;2(3):322-333. doi: 10.1002/epi4.12066. eCollection 2017 Sep.

OBJECTIVE: We investigated the performance of automatic spike detection and subsequent electroencephalogram (EEG) source imaging to localize the epileptogenic zone (EZ) from long-term EEG recorded during video-EEG monitoring.METHODS: In 32 patients, spikes were automatically detected in the EEG and...

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van Mierlo P, Strobbe G, Keereman V, et al. Automated long-term EEG analysis to localize the epileptogenic zone. Epilepsia Open. 2017;2(3):322-333doi: 10.1002/epi4.12066.
van Mierlo, P., Strobbe, G., Keereman, V., Birot, G., Gadeyne, S., Gschwind, M., Carrette, E., Meurs, A., Van Roost, D., Vonck, K., Seeck, M., Vulliémoz, S., & Boon, P. (2017). Automated long-term EEG analysis to localize the epileptogenic zone. Epilepsia open, 2(3), 322-333. https://doi.org/10.1002/epi4.12066
van Mierlo, Pieter, et al. "Automated long-term EEG analysis to localize the epileptogenic zone." Epilepsia open vol. 2,3 (2017): 322-333. doi: https://doi.org/10.1002/epi4.12066
van Mierlo P, Strobbe G, Keereman V, Birot G, Gadeyne S, Gschwind M, Carrette E, Meurs A, Van Roost D, Vonck K, Seeck M, Vulliémoz S, Boon P. Automated long-term EEG analysis to localize the epileptogenic zone. Epilepsia Open. 2017 Jun 30;2(3):322-333. doi: 10.1002/epi4.12066. eCollection 2017 Sep. PMID: 29588961; PMCID: PMC5862106.
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Insular stimulation produces mental clarity and bliss.

Annals of neurology

Nencha U, Spinelli L, Vulliemoz S, Seeck M, Picard F.
PMID: 34877703
Ann Neurol. 2021 Dec 07; doi: 10.1002/ana.26282. Epub 2021 Dec 07.

For the first time an ecstatic aura has been evoked through the electrical stimulation of the dorsal anterior insula during pre-surgical invasive intracerebral monitoring in a patient who did not suffer from an ecstatic form of epilepsy. This case...

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Nencha U, Spinelli L, Vulliemoz S, et al. Insular stimulation produces mental clarity and bliss. Ann Neurol. 2021;doi: 10.1002/ana.26282.
Nencha, U., Spinelli, L., Vulliemoz, S., Seeck, M., & Picard, F. (2021). Insular stimulation produces mental clarity and bliss. Annals of neurology, . https://doi.org/10.1002/ana.26282
Nencha, U, et al. "Insular stimulation produces mental clarity and bliss." Annals of neurology vol. (2021). doi: https://doi.org/10.1002/ana.26282
Nencha U, Spinelli L, Vulliemoz S, Seeck M, Picard F. Insular stimulation produces mental clarity and bliss. Ann Neurol. 2021 Dec 07; doi: 10.1002/ana.26282. Epub 2021 Dec 07. PMID: 34877703.
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Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series.

Frontiers in systems neuroscience

Heyse J, Sheybani L, Vulliémoz S, van Mierlo P.
PMID: 34744643
Front Syst Neurosci. 2021 Oct 22;15:620338. doi: 10.3389/fnsys.2021.620338. eCollection 2021.

The detection of causal effects among simultaneous observations provides knowledge about the underlying network, and is a topic of interests in many scientific areas. Over the years different causality measures have been developed, each with their own advantages and...

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Heyse J, Sheybani L, Vulliémoz S, et al. Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series. Front Syst Neurosci. 2021;15:620338doi: 10.3389/fnsys.2021.620338.
Heyse, J., Sheybani, L., Vulliémoz, S., & van Mierlo, P. (2021). Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series. Frontiers in systems neuroscience, 15620338. https://doi.org/10.3389/fnsys.2021.620338
Heyse, Jolan, et al. "Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series." Frontiers in systems neuroscience vol. 15 (2021): 620338. doi: https://doi.org/10.3389/fnsys.2021.620338
Heyse J, Sheybani L, Vulliémoz S, van Mierlo P. Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series. Front Syst Neurosci. 2021 Oct 22;15:620338. doi: 10.3389/fnsys.2021.620338. eCollection 2021. PMID: 34744643; PMCID: PMC8569855.
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Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low-density EEG.

Epilepsia open

Coito A, Biethahn S, Tepperberg J, Carboni M, Roelcke U, Seeck M, van Mierlo P, Gschwind M, Vulliemoz S.
PMID: 31168495
Epilepsia Open. 2019 Apr 14;4(2):281-292. doi: 10.1002/epi4.12318. eCollection 2019 Jun.

OBJECTIVE: Electrical source imaging (ESI) is used increasingly to estimate the epileptogenic zone (EZ) in patients with epilepsy. Directed functional connectivity (DFC) coupled to ESI helps to better characterize epileptic networks, but studies on interictal activity have relied on...

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Coito A, Biethahn S, Tepperberg J, et al. Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low-density EEG. Epilepsia Open. 2019;4(2):281-292doi: 10.1002/epi4.12318.
Coito, A., Biethahn, S., Tepperberg, J., Carboni, M., Roelcke, U., Seeck, M., van Mierlo, P., Gschwind, M., & Vulliemoz, S. (2019). Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low-density EEG. Epilepsia open, 4(2), 281-292. https://doi.org/10.1002/epi4.12318
Coito, Ana, et al. "Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low-density EEG." Epilepsia open vol. 4,2 (2019): 281-292. doi: https://doi.org/10.1002/epi4.12318
Coito A, Biethahn S, Tepperberg J, Carboni M, Roelcke U, Seeck M, van Mierlo P, Gschwind M, Vulliemoz S. Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low-density EEG. Epilepsia Open. 2019 Apr 14;4(2):281-292. doi: 10.1002/epi4.12318. eCollection 2019 Jun. PMID: 31168495; PMCID: PMC6546067.
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The connectome spectrum as a canonical basis for a sparse representation of fast brain activity.

NeuroImage

Rué-Queralt J, Glomb K, Pascucci D, Tourbier S, Carboni M, Vulliémoz S, Plomp G, Hagmann P.
PMID: 34560267
Neuroimage. 2021 Dec 01;244:118611. doi: 10.1016/j.neuroimage.2021.118611. Epub 2021 Sep 21.

The functional organization of neural processes is constrained by the brain's intrinsic structural connectivity, i.e., the connectome. Here, we explore how structural connectivity can improve the representation of brain activity signals and their dynamics. Using a multi-modal imaging dataset...

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Rué-Queralt J, Glomb K, Pascucci D, et al. The connectome spectrum as a canonical basis for a sparse representation of fast brain activity. Neuroimage. 2021;244:118611doi: 10.1016/j.neuroimage.2021.118611.
Rué-Queralt, J., Glomb, K., Pascucci, D., Tourbier, S., Carboni, M., Vulliémoz, S., Plomp, G., & Hagmann, P. (2021). The connectome spectrum as a canonical basis for a sparse representation of fast brain activity. NeuroImage, 244118611. https://doi.org/10.1016/j.neuroimage.2021.118611
Rué-Queralt, Joan, et al. "The connectome spectrum as a canonical basis for a sparse representation of fast brain activity." NeuroImage vol. 244 (2021): 118611. doi: https://doi.org/10.1016/j.neuroimage.2021.118611
Rué-Queralt J, Glomb K, Pascucci D, Tourbier S, Carboni M, Vulliémoz S, Plomp G, Hagmann P. The connectome spectrum as a canonical basis for a sparse representation of fast brain activity. Neuroimage. 2021 Dec 01;244:118611. doi: 10.1016/j.neuroimage.2021.118611. Epub 2021 Sep 21. PMID: 34560267.
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Linear distributed inverse solutions for interictal EEG source localisation.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

Carboni M, Brunet D, Seeber M, Michel CM, Vulliemoz S, Vorderwülbecke BJ.
PMID: 34801964
Clin Neurophysiol. 2022 Jan;133:58-67. doi: 10.1016/j.clinph.2021.10.008. Epub 2021 Nov 08.

OBJECTIVE: To compare the spatial accuracy of 6 linear distributed inverse solutions for EEG source localisation of interictal epileptic discharges: Minimum Norm, Weighted Minimum Norm, Low-Resolution Electromagnetic Tomography (LORETA), Local Autoregressive Average (LAURA), Standardised LORETA, and Exact LORETA.METHODS: Spatial...

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Carboni M, Brunet D, Seeber M, et al. Linear distributed inverse solutions for interictal EEG source localisation. Clin Neurophysiol. 2021;133:58-67doi: 10.1016/j.clinph.2021.10.008.
Carboni, M., Brunet, D., Seeber, M., Michel, C. M., Vulliemoz, S., & Vorderwülbecke, B. J. (2022). Linear distributed inverse solutions for interictal EEG source localisation. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 13358-67. https://doi.org/10.1016/j.clinph.2021.10.008
Carboni, Margherita, et al. "Linear distributed inverse solutions for interictal EEG source localisation." Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology vol. 133 (2022): 58-67. doi: https://doi.org/10.1016/j.clinph.2021.10.008
Carboni M, Brunet D, Seeber M, Michel CM, Vulliemoz S, Vorderwülbecke BJ. Linear distributed inverse solutions for interictal EEG source localisation. Clin Neurophysiol. 2022 Jan;133:58-67. doi: 10.1016/j.clinph.2021.10.008. Epub 2021 Nov 08. PMID: 34801964.
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Detection of epileptic activity in presumably normal EEG.

Brain communications

Baldini S, Pittau F, Birot G, Rochas V, Tomescu MI, Vulliémoz S, Seeck M.
PMID: 33094282
Brain Commun. 2020 Sep 23;2(2):fcaa104. doi: 10.1093/braincomms/fcaa104. eCollection 2020.

Monitoring epileptic activity in the absence of interictal discharges is a major need given the well-established lack of reliability of patients' reports of their seizures. Up to now, there are no other tools than reviewing the seizure diary; however,...

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Baldini S, Pittau F, Birot G, et al. Detection of epileptic activity in presumably normal EEG. Brain Commun. 2020;2(2):fcaa104doi: 10.1093/braincomms/fcaa104.
Baldini, S., Pittau, F., Birot, G., Rochas, V., Tomescu, M. I., Vulliémoz, S., & Seeck, M. (2020). Detection of epileptic activity in presumably normal EEG. Brain communications, 2(2), fcaa104. https://doi.org/10.1093/braincomms/fcaa104
Baldini, Sara, et al. "Detection of epileptic activity in presumably normal EEG." Brain communications vol. 2,2 (2020): fcaa104. doi: https://doi.org/10.1093/braincomms/fcaa104
Baldini S, Pittau F, Birot G, Rochas V, Tomescu MI, Vulliémoz S, Seeck M. Detection of epileptic activity in presumably normal EEG. Brain Commun. 2020 Sep 23;2(2):fcaa104. doi: 10.1093/braincomms/fcaa104. eCollection 2020. PMID: 33094282; PMCID: PMC7566453.
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The connectome spectrum as a canonical basis for a sparse representation of fast brain activity.

NeuroImage

Rué-Queralt J, Glomb K, Pascucci D, Tourbier S, Carboni M, Vulliémoz S, Plomp G, Hagmann P.
PMID: 34560267
Neuroimage. 2021 Dec 01;244:118611. doi: 10.1016/j.neuroimage.2021.118611. Epub 2021 Sep 21.

The functional organization of neural processes is constrained by the brain's intrinsic structural connectivity, i.e., the connectome. Here, we explore how structural connectivity can improve the representation of brain activity signals and their dynamics. Using a multi-modal imaging dataset...

Cite
Rué-Queralt J, Glomb K, Pascucci D, et al. The connectome spectrum as a canonical basis for a sparse representation of fast brain activity. Neuroimage. 2021;244:118611doi: 10.1016/j.neuroimage.2021.118611.
Rué-Queralt, J., Glomb, K., Pascucci, D., Tourbier, S., Carboni, M., Vulliémoz, S., Plomp, G., & Hagmann, P. (2021). The connectome spectrum as a canonical basis for a sparse representation of fast brain activity. NeuroImage, 244118611. https://doi.org/10.1016/j.neuroimage.2021.118611
Rué-Queralt, Joan, et al. "The connectome spectrum as a canonical basis for a sparse representation of fast brain activity." NeuroImage vol. 244 (2021): 118611. doi: https://doi.org/10.1016/j.neuroimage.2021.118611
Rué-Queralt J, Glomb K, Pascucci D, Tourbier S, Carboni M, Vulliémoz S, Plomp G, Hagmann P. The connectome spectrum as a canonical basis for a sparse representation of fast brain activity. Neuroimage. 2021 Dec 01;244:118611. doi: 10.1016/j.neuroimage.2021.118611. Epub 2021 Sep 21. PMID: 34560267.
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Giant Lumbar Pseudomeningocele Compression Mimicking Stroke and Seizure.

Neurology. Clinical practice

d'Esneval M, Zegarek G, Pugin D, Vargas MI, Tessitore E, Vulliemoz S.
PMID: 34840902
Neurol Clin Pract. 2021 Oct;11(5):e763-e765. doi: 10.1212/CPJ.0000000000001062.

No abstract available.

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d'Esneval M, Zegarek G, Pugin D, et al. Giant Lumbar Pseudomeningocele Compression Mimicking Stroke and Seizure. Neurol Clin Pract. 2021;11(5):e763-e765doi: 10.1212/CPJ.0000000000001062.
d'Esneval, M., Zegarek, G., Pugin, D., Vargas, M. I., Tessitore, E., & Vulliemoz, S. (2021). Giant Lumbar Pseudomeningocele Compression Mimicking Stroke and Seizure. Neurology. Clinical practice, 11(5), e763-e765. https://doi.org/10.1212/CPJ.0000000000001062
d'Esneval, Mathilde, et al. "Giant Lumbar Pseudomeningocele Compression Mimicking Stroke and Seizure." Neurology. Clinical practice vol. 11,5 (2021): e763-e765. doi: https://doi.org/10.1212/CPJ.0000000000001062
d'Esneval M, Zegarek G, Pugin D, Vargas MI, Tessitore E, Vulliemoz S. Giant Lumbar Pseudomeningocele Compression Mimicking Stroke and Seizure. Neurol Clin Pract. 2021 Oct;11(5):e763-e765. doi: 10.1212/CPJ.0000000000001062. PMID: 34840902; PMCID: PMC8610536.
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Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG.

NeuroImage. Clinical

Barborica A, Mindruta I, Sheybani L, Spinelli L, Oane I, Pistol C, Donos C, López-Madrona VJ, Vulliemoz S, Bénar CG.
PMID: 34624636
Neuroimage Clin. 2021 Sep 29;32:102838. doi: 10.1016/j.nicl.2021.102838. Epub 2021 Sep 29.

The success of stereoelectroencephalographic (SEEG) investigations depends crucially on the hypotheses on the putative location of the seizure onset zone. This information is derived from non-invasive data either based on visual analysis or advanced source localization algorithms. While source...

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Barborica A, Mindruta I, Sheybani L, et al. Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG. Neuroimage Clin. 2021;32:102838doi: 10.1016/j.nicl.2021.102838.
Barborica, A., Mindruta, I., Sheybani, L., Spinelli, L., Oane, I., Pistol, C., Donos, C., López-Madrona, V. J., Vulliemoz, S., & Bénar, C. G. (2021). Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG. NeuroImage. Clinical, 32102838. https://doi.org/10.1016/j.nicl.2021.102838
Barborica, Andrei, et al. "Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG." NeuroImage. Clinical vol. 32 (2021): 102838. doi: https://doi.org/10.1016/j.nicl.2021.102838
Barborica A, Mindruta I, Sheybani L, Spinelli L, Oane I, Pistol C, Donos C, López-Madrona VJ, Vulliemoz S, Bénar CG. Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG. Neuroimage Clin. 2021 Sep 29;32:102838. doi: 10.1016/j.nicl.2021.102838. Epub 2021 Sep 29. PMID: 34624636; PMCID: PMC8503578.
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Showing 1 to 12 of 33 entries