Hemodynamic changes during posterior epilepsies: An EEG-fNIRS study

Pouliot, Philippe; Tran, Thi Phuoc Yen; Birca, Véronica; Vannasing, Phetsamone; Tremblay, Julie; Lassonde, Maryse; Nguyen, Dang Khoa

doi:10.1016/j.eplepsyres.2014.03.007

Cited by 24 publications

(22 citation statements)

References 28 publications

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“…Unlike ictal SPECT, which can provide only a single perfusion brain image of cerebral blood flow during a seizure, combined EEG‐fNIRS offers a continuous method of studying regional hemodynamic and oxygenation changes that occur before, during, and after seizures. Our method of recording seizures using EEG‐fNIRS was described in detail previously …”

Section: Methodsmentioning

confidence: 99%

X‐linked focal epilepsy with reflex bathing seizures: Characterization of a distinct epileptic syndrome

et al. 2015

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SUMMARYObjective: We recently reported a Q555X mutation of synapsin 1 (SYN1) on chromosome Xp11-q21 in a family segregating partial epilepsy and autistic spectrum disorder. Herein, we provide a detailed description of the epileptic syndrome in the original family. Methods: A total of 34 members from a large French-Canadian family were evaluated. Family members with seizures or epilepsy underwent (when possible) clinical, neuropsychological, electrophysiologic, and neuroimaging assessments. Results: Epilepsy was diagnosed in 10 family members (4 deceased, 6 living). In addition to occasional spontaneous complex partial seizures, seven family members clearly had reflex seizures triggered by bathing or showering. Hippocampal atrophy was found in two of five epileptic family members family members who underwent magnetic resonance (MR) imaging. Video-electroencephalography (EEG) recordings of three triggered seizures in two affected members showed rhythmic theta activity over temporal head regions. Ictal single-photon emission computed tomography (SPECT) showed temporoinsular perfusion changes. Detailed neuropsychological assessments revealed that SYN1 Q555X male mutation carriers showed specific language impairment and mild autistic spectrum disorder. Female carriers also exhibited reading impairments and febrile seizures but no chronic epilepsy. Significance: Available evidence suggests that impaired SYN1 function is associated with hyperexcitability of the temporoinsular network and disturbance of high mental functions such as language and social interaction. The presence of reflex bathing seizures, a most peculiar clinical feature, could be helpful in identifying other patients with this syndrome.

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Section: Methodsmentioning

confidence: 99%

X‐linked focal epilepsy with reflex bathing seizures: Characterization of a distinct epileptic syndrome

et al. 2015

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“…In particular, our group has been working towards implementing long-term EEG-fNIRS in the epilepsy unit and neurological intensive care unit with the development of wireless and wearable multichannel wearable system dedicated for simultaneous EEG-fNIRS acquisitions at the bedside (Lareau et al, 2011;Le Lan et al, 2013) and showed that the technique has definite potential to detect, localize and assess the impact of focal seizures Pouliot et al, 2013). …”

Section: Discussionmentioning

confidence: 99%

fNIRS-EEG study of focal interictal epileptiform discharges

et al. 2014

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Functional near-infrared spectroscopy (fNIRS) acquired with electroencephalography (EEG) is a relatively new non-invasive neuroimaging technique with potential for long term monitoring of the epileptic brain. Simultaneous EEG-fNIRS recording allows the spatio-temporal reconstruction of the hemodynamic response in terms of the concentration changes in oxyhemoglobin (HbO) and deoxy-hemoglobin (HbR) associated with recorded epileptic events such as interictal epileptic discharges (IEDs) or seizures. While most previous studies investigating fNIRS in epilepsy had limitations due to restricted spatial coverage and small sample sizes, this work includes a sufficiently large number of channels to provide an extensive bilateral coverage of the surface of the brain for a sample size of 40 patients with focal epilepsies. Topographic maps of significant activations due to each IED type were generated in four different views (dorsal, frontal, left and right) and were compared with the epileptic focus previously identified by an epileptologist.After excluding 5 patients due to the absence of IEDs and 6 more with mesial temporal foci too deep for fNIRS, we report that significant HbR (respectively HbO) concentration changes corresponding to IEDs were observed in 62% (resp. 38%) of patients with neocortical epilepsies. This HbR/HbO response was most significant in the epileptic focus region among all the activations in 28%/21% of patients. Keywords:Focal epilepsy, fNIRS, NIRS-SPM, EEG, interictal epileptic discharges

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“…Regarding rehabilitation, a BCI system has the capacity to distinguish improvement from non-improvement as a result of therapy and brain stimulation. Detection of seizures (Nguyen et al, 2012, 2013), epilepsy (Peng et al, 2014; Pouliot et al, 2014; Visani et al, 2015), and estimation of improvement in motor functions after stroke (Das et al, 2016) are such examples pursuing hBCI for patients. The current BCI system, however, lacks the potential to provide detailed functions.…”

Section: Applicationsmentioning

confidence: 99%

Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review

2017

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In this article, non-invasive hybrid brain–computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands are reviewed. Hybridization combining more than two modalities is a new trend in brain imaging and prosthesis control. Electroencephalography (EEG), due to its easy use and fast temporal resolution, is most widely utilized in combination with other brain/non-brain signal acquisition modalities, for instance, functional near infrared spectroscopy (fNIRS), electromyography (EMG), electrooculography (EOG), and eye tracker. Three main purposes of hybridization are to increase the number of control commands, improve classification accuracy and reduce the signal detection time. Currently, such combinations of EEG + fNIRS and EEG + EOG are most commonly employed. Four principal components (i.e., hardware, paradigm, classifiers, and features) relevant to accuracy improvement are discussed. In the case of brain signals, motor imagination/movement tasks are combined with cognitive tasks to increase active brain–computer interface (BCI) accuracy. Active and reactive tasks sometimes are combined: motor imagination with steady-state evoked visual potentials (SSVEP) and motor imagination with P300. In the case of reactive tasks, SSVEP is most widely combined with P300 to increase the number of commands. Passive BCIs, however, are rare. After discussing the hardware and strategies involved in the development of hBCI, the second part examines the approaches used to increase the number of control commands and to enhance classification accuracy. The future prospects and the extension of hBCI in real-time applications for daily life scenarios are provided.

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Hemodynamic changes during posterior epilepsies: An EEG-fNIRS study

Cited by 24 publications

References 28 publications

X‐linked focal epilepsy with reflex bathing seizures: Characterization of a distinct epileptic syndrome

X‐linked focal epilepsy with reflex bathing seizures: Characterization of a distinct epileptic syndrome

fNIRS-EEG study of focal interictal epileptiform discharges

Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review

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