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Article ; Online: From cryogenic to on-scalp magnetoencephalography for the evaluation of paediatric epilepsy.

Feys, Odile / De Tiège, Xavier

Developmental medicine and child neurology

2023 Volume 66, Issue 3, Page(s) 298–306

Abstract: Magnetoencephalography (MEG) is a neurophysiological technique based on the detection of brain magnetic fields. Whole-head MEG systems typically house a few hundred sensors requiring cryogenic cooling in a rigid one-size-fits-all (commonly adult-sized) ... ...

Abstract	Magnetoencephalography (MEG) is a neurophysiological technique based on the detection of brain magnetic fields. Whole-head MEG systems typically house a few hundred sensors requiring cryogenic cooling in a rigid one-size-fits-all (commonly adult-sized) helmet to keep a thermal insulation space. This leads to an increased brain-to-sensor distance in children, because of their smaller head circumference, and decreased signal-to-noise ratio. MEG allows detection and localization of interictal and ictal epileptiform discharges, and pathological high frequency oscillations, as a part of the presurgical assessment of children with refractory focal epilepsy, where electroencephalography is not contributive. MEG can also map the eloquent cortex before surgical resection. MEG also provides insights into the physiopathology of both generalized and focal epilepsy. On-scalp recordings based on cryogenic-free sensors have demonstrated their use in the field of childhood focal epilepsy and should become a reference technique for diagnosing epilepsy in the paediatric population. WHAT THIS PAPER ADDS: Magnetoencephalography (MEG) contributes to the diagnosis and understanding of paediatric epilepsy. On-scalp MEG recordings demonstrate some advantages over cryogenic MEG.
MeSH term(s)	Adult ; Humans ; Child ; Magnetoencephalography/methods ; Scalp/pathology ; Epilepsy/diagnosis ; Epilepsy/pathology ; Electroencephalography/methods ; Epilepsies, Partial/diagnosis ; Epilepsies, Partial/surgery ; Drug Resistant Epilepsy/surgery
Language	English
Publishing date	2023-07-08
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	80369-8
ISSN	1469-8749 ; 0012-1622
ISSN (online)	1469-8749
ISSN	0012-1622
DOI	10.1111/dmcn.15689
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Article ; Online: Motor learning- and consolidation-related resting state fast and slow brain dynamics across wake and sleep.

Roshchupkina, Liliia / Wens, Vincent / Coquelet, Nicolas / Urbain, Charline / de Tiege, Xavier / Peigneux, Philippe

Scientific reports

2024 Volume 14, Issue 1, Page(s) 7531

Abstract: Motor skills dynamically evolve during practice and after training. Using magnetoencephalography, we investigated the neural dynamics underpinning motor learning and its consolidation in relation to sleep during resting-state periods after the end of ... ...

Abstract	Motor skills dynamically evolve during practice and after training. Using magnetoencephalography, we investigated the neural dynamics underpinning motor learning and its consolidation in relation to sleep during resting-state periods after the end of learning (boost window, within 30 min) and at delayed time scales (silent 4 h and next day 24 h windows) with intermediate daytime sleep or wakefulness. Resting-state neural dynamics were investigated at fast (sub-second) and slower (supra-second) timescales using Hidden Markov modelling (HMM) and functional connectivity (FC), respectively, and their relationship to motor performance. HMM results show that fast dynamic activities in a Temporal/Sensorimotor state network predict individual motor performance, suggesting a trait-like association between rapidly recurrent neural patterns and motor behaviour. Short, post-training task re-exposure modulated neural network characteristics during the boost but not the silent window. Re-exposure-related induction effects were observed on the next day, to a lesser extent than during the boost window. Daytime naps did not modulate memory consolidation at the behavioural and neural levels. These results emphasise the critical role of the transient boost window in motor learning and memory consolidation and provide further insights into the relationship between the multiscale neural dynamics of brain networks, motor learning, and consolidation.
MeSH term(s)	Sleep ; Learning ; Brain ; Memory Consolidation ; Motor Skills
Language	English
Publishing date	2024-03-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-58123-6
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Article ; Online: Spectrotemporal cortical dynamics and semantic control during sentence completion.

Coolen, Tim / Mihai Dumitrescu, Alexandru / Wens, Vincent / Bourguignon, Mathieu / Rovai, Antonin / Sadeghi, Niloufar / Urbain, Charline / Goldman, Serge / De Tiège, Xavier

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

2024 Volume 163, Page(s) 90–101

Abstract: Objective: To investigate cortical oscillations during a sentence completion task (SC) using magnetoencephalography (MEG), focusing on the semantic control network (SCN), its leftward asymmetry, and the effects of semantic control load.: Methods: ... ...

Abstract	Objective: To investigate cortical oscillations during a sentence completion task (SC) using magnetoencephalography (MEG), focusing on the semantic control network (SCN), its leftward asymmetry, and the effects of semantic control load. Methods: Twenty right-handed adults underwent MEG while performing SC, consisting of low cloze (LC: multiple responses) and high cloze (HC: single response) stimuli. Spectrotemporal power modulations as event-related synchronizations (ERS) and desynchronizations (ERD) were analyzed: first, at the whole-brain level; second, in key SCN regions, posterior middle/inferior temporal gyri (pMTG/ITG) and inferior frontal gyri (IFG), under different semantic control loads. Results: Three cortical response patterns emerged: early (0-200 ms) theta-band occipital ERS; intermediate (200-700 ms) semantic network alpha/beta-band ERD; late (700-3000 ms) dorsal language stream alpha/beta/gamma-band ERD. Under high semantic control load (LC), pMTG/ITG showed prolonged left-sided engagement (ERD) and right-sided inhibition (ERS). Left IFG exhibited heightened late (2500-2550 ms) beta-band ERD with increased semantic control load (LC vs. HC). Conclusions: SC involves distinct cortical responses and depends on the left IFG and asymmetric engagement of the pMTG/ITG for semantic control. Significance: Future use of SC in neuromagnetic preoperative language mapping and for understanding the pathophysiology of language disorders in neurological conditions.
Language	English
Publishing date	2024-04-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1463630-x
ISSN	1872-8952 ; 0921-884X ; 1388-2457
ISSN (online)	1872-8952
ISSN	0921-884X ; 1388-2457
DOI	10.1016/j.clinph.2024.04.012
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Article ; Online: Corrigendum to: "Towards the automated detection of interictal epileptiform discharges with magnetoencephalography" [J. Neurosci. Methods 403 (2024) 110052].

Fernández-Martín, Raquel / Feys, Odile / Juvené, Elodie / Aeby, Alec / Urbain, Charline / De Tiège, Xavier / Wens, Vincent

Journal of neuroscience methods

2024 Volume 405, Page(s) 110103

Language	English
Publishing date	2024-03-06
Publishing country	Netherlands
Document type	Published Erratum
ZDB-ID	282721-9
ISSN	1872-678X ; 0165-0270
ISSN (online)	1872-678X
ISSN	0165-0270
DOI	10.1016/j.jneumeth.2024.110103
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Article ; Online: Speech-derived haptic stimulation enhances speech recognition in a multi-talker background.

Răutu, I Sabina / De Tiège, Xavier / Jousmäki, Veikko / Bourguignon, Mathieu / Bertels, Julie

Scientific reports

2023 Volume 13, Issue 1, Page(s) 16621

Abstract: Speech understanding, while effortless in quiet conditions, is challenging in noisy environments. Previous studies have revealed that a feasible approach to supplement speech-in-noise (SiN) perception consists in presenting speech-derived signals as ... ...

Abstract	Speech understanding, while effortless in quiet conditions, is challenging in noisy environments. Previous studies have revealed that a feasible approach to supplement speech-in-noise (SiN) perception consists in presenting speech-derived signals as haptic input. In the current study, we investigated whether the presentation of a vibrotactile signal derived from the speech temporal envelope can improve SiN intelligibility in a multi-talker background for untrained, normal-hearing listeners. We also determined if vibrotactile sensitivity, evaluated using vibrotactile detection thresholds, modulates the extent of audio-tactile SiN improvement. In practice, we measured participants' speech recognition in a multi-talker noise without (audio-only) and with (audio-tactile) concurrent vibrotactile stimulation delivered in three schemes: to the left or right palm, or to both. Averaged across the three stimulation delivery schemes, the vibrotactile stimulation led to a significant improvement of 0.41 dB in SiN recognition when compared to the audio-only condition. Notably, there were no significant differences observed between the improvements in these delivery schemes. In addition, audio-tactile SiN benefit was significantly predicted by participants' vibrotactile threshold levels and unimodal (audio-only) SiN performance. The extent of the improvement afforded by speech-envelope-derived vibrotactile stimulation was in line with previously uncovered vibrotactile enhancements of SiN perception in untrained listeners with no known hearing impairment. Overall, these results highlight the potential of concurrent vibrotactile stimulation to improve SiN recognition, especially in individuals with poor SiN perception abilities, and tentatively more so with increasing tactile sensitivity. Moreover, they lend support to the multimodal accounts of speech perception and research on tactile speech aid devices.
MeSH term(s)	Humans ; Speech/physiology ; Speech Perception/physiology ; Haptic Technology ; Hearing/physiology ; Hearing Loss ; Speech Intelligibility
Language	English
Publishing date	2023-10-03
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-43644-3
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Article ; Online: Anodal Cerebellar Transcranial Direct Current Stimulation Reduces Motor and Cognitive Symptoms in Friedreich's Ataxia: A Randomized, Sham-Controlled Trial.

Naeije, Gilles / Rovai, Antonin / Destrebecq, Virginie / Trotta, Nicola / De Tiège, Xavier

Movement disorders : official journal of the Movement Disorder Society

2023 Volume 38, Issue 8, Page(s) 1443–1450

Abstract: Background: Friedreich Ataxia is the most common recessive ataxia with only one therapeutic drug approved solely in the United States.: Objective: The aim of this work was to investigate whether anodal cerebellar transcranial direct current ... ...

Abstract	Background: Friedreich Ataxia is the most common recessive ataxia with only one therapeutic drug approved solely in the United States. Objective: The aim of this work was to investigate whether anodal cerebellar transcranial direct current stimulation (ctDCS) reduces ataxic and cognitive symptoms in individuals with Friedreich's ataxia (FRDA) and to assess the effects of ctDCS on the activity of the secondary somatosensory (SII) cortex. Methods: We performed a single-blind, randomized, sham-controlled, crossover trial with anodal ctDCS (5 days/week for 1 week, 20 min/day, density current: 0.057 mA/cm Results: Anodal ctDCS led to a significant improvement in the Scale for the Assessment and Rating of Ataxia (-6.5%) and in the cerebellar cognitive affective syndrome scale (+11%) compared with sham ctDCS. It also led to a significant reduction in functional magnetic resonance imaging signal at the SII cortex contralateral to tactile stimulation (-26%) compared with sham ctDCS. Conclusions: One week of treatment with anodal ctDCS reduces motor and cognitive symptoms in individuals with FRDA, likely by restoring the neocortical inhibition normally exerted by cerebellar structures. This study provides class I evidence that ctDCS stimulation is effective and safe in FRDA. © 2023 International Parkinson and Movement Disorder Society.
MeSH term(s)	Humans ; Friedreich Ataxia/complications ; Friedreich Ataxia/therapy ; Transcranial Direct Current Stimulation/methods ; Single-Blind Method ; Cerebellum/diagnostic imaging ; Ataxia ; Cognition
Language	English
Publishing date	2023-06-13
Publishing country	United States
Document type	Randomized Controlled Trial ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	607633-6
ISSN	1531-8257 ; 0885-3185
ISSN (online)	1531-8257
ISSN	0885-3185
DOI	10.1002/mds.29453
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Article: Cognitive, perceptual, and motor profiles of school-aged children with developmental coordination disorder.

Van Dyck, Dorine / Baijot, Simon / Aeby, Alec / De Tiège, Xavier / Deconinck, Nicolas

Frontiers in psychology

2022 Volume 13, Page(s) 860766

Abstract: Developmental coordination disorder (DCD) is a heterogeneous condition. Besides motor impairments, children with DCD often exhibit poor visual perceptual skills and executive functions. This study aimed to characterize the motor, perceptual, and ... ...

Abstract	Developmental coordination disorder (DCD) is a heterogeneous condition. Besides motor impairments, children with DCD often exhibit poor visual perceptual skills and executive functions. This study aimed to characterize the motor, perceptual, and cognitive profiles of children with DCD at the group level and in terms of subtypes. A total of 50 children with DCD and 31 typically developing (TD) peers (7-11 years old) underwent a comprehensive neuropsychological (15 tests) and motor (three subscales of the Movement Assessment Battery for Children-2) assessment. The percentage of children with DCD showing impairments in each measurement was first described. Hierarchical agglomerative and K-means iterative partitioning clustering analyses were then performed to distinguish the subtypes present among the complete sample of children (DCD and TD) in a data-driven way. Moderate to large percentages of children with DCD showed impaired executive functions (92%) and praxis (meaningless gestures and postures, 68%), as well as attentional (52%), visual perceptual (46%), and visuomotor (36%) skills. Clustering analyses identified five subtypes, four of them mainly consisting of children with DCD and one of TD children. These subtypes were characterized by: (i) generalized impairments (8 children with DCD), (ii) impaired manual dexterity, poor balance (static/dynamic), planning, and alertness (15 DCD and 1 TD child), (iii) impaired manual dexterity, cognitive inhibition, and poor visual perception (11 children with DCD), (iv) impaired manual dexterity and cognitive inhibition (15 DCD and 5 TD children), and (v) no impairment (25 TD and 1 child with DCD). Besides subtle differences, the motor and praxis measures did not enable to discriminate between the four subtypes of children with DCD. The subtypes were, however, characterized by distinct perceptual or cognitive impairments. These results highlight the importance of assessing exhaustively the perceptual and cognitive skills of children with DCD.
Language	English
Publishing date	2022-08-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2022.860766
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Article ; Online: Resting state fast brain dynamics predict interindividual variability in motor performance.

Roshchupkina, Liliia / Wens, Vincent / Coquelet, Nicolas / de Tiege, Xavier / Peigneux, Philippe

Scientific reports

2022 Volume 12, Issue 1, Page(s) 5340

Abstract: Motor learning features rapid enhancement during practice then offline post-practice gains with the reorganization of related brain networks. We hypothesised that fast transient, sub-second variations in magnetoencephalographic (MEG) network activity ... ...

Abstract	Motor learning features rapid enhancement during practice then offline post-practice gains with the reorganization of related brain networks. We hypothesised that fast transient, sub-second variations in magnetoencephalographic (MEG) network activity during the resting-state (RS) reflect early learning-related plasticity mechanisms and/or interindividual motor variability in performance. MEG RS activity was recorded before and 20 min after motor learning. Hidden Markov modelling (HMM) of MEG power envelope signals highlighted 8 recurrent topographical states. For two states, motor performance levels were associated with HMM temporal parameters both in pre- and post-learning resting-state sessions. However, no association emerged with offline changes in performance. These results suggest a trait-like relationship between spontaneous transient neural dynamics at rest and interindividual variations in motor abilities. On the other hand, transient RS dynamics seem not to be state-dependent, i.e., modulated by learning experience and reflect neural plasticity, at least on the short timescale.
MeSH term(s)	Brain ; Brain Mapping/methods ; Learning ; Magnetoencephalography
Language	English
Publishing date	2022-03-29
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-08767-z
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Article ; Online: On-scalp magnetoencephalography for the diagnostic evaluation of epilepsy during infancy.

Feys, Odile / Corvilain, Pierre / Bertels, Julie / Sculier, Claudine / Holmes, Niall / Brookes, Matthew / Wens, Vincent / De Tiège, Xavier

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

2023 Volume 155, Page(s) 29–31

Language	English
Publishing date	2023-08-26
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1463630-x
ISSN	1872-8952 ; 0921-884X ; 1388-2457
ISSN (online)	1872-8952
ISSN	0921-884X ; 1388-2457
DOI	10.1016/j.clinph.2023.08.010
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Article ; Online: Towards the automated detection of interictal epileptiform discharges with magnetoencephalography.

Fernández-Martín, Raquel / Feys, Odile / Juvené, Elodie / Aeby, Alec / Urbain, Charline / De Tiège, Xavier / Wens, Vincent

Journal of neuroscience methods

2023 Volume 403, Page(s) 110052

Abstract: Background: The analysis of clinical magnetoencephalography (MEG) in patients with epilepsy traditionally relies on visual identification of interictal epileptiform discharges (IEDs), which is time consuming and dependent on subjective criteria.: New ... ...

Abstract	Background: The analysis of clinical magnetoencephalography (MEG) in patients with epilepsy traditionally relies on visual identification of interictal epileptiform discharges (IEDs), which is time consuming and dependent on subjective criteria. New method: Here, we explore the ability of Independent Components Analysis (ICA) and Hidden Markov Modeling (HMM) to automatically detect and localize IEDs. We tested our pipelines on resting-state MEG recordings from 10 school-aged children with (multi)focal epilepsy. Results: In focal epilepsy patients, both pipelines successfully detected visually identified IEDs, but also revealed unidentified low-amplitude IEDs. Success was more mitigated in patients with multifocal epilepsy, as our automated pipeline missed IED activity associated with some foci-an issue that could be alleviated by post-hoc manual selection of epileptiform ICs or HMM states. Comparison with existing methods: We compared our results with visual IED detection by an experienced clinical magnetoencephalographer, getting heightened sensitivity and requiring minimal input from clinical practitioners. Conclusions: IED detection based on ICA or HMM represents an efficient way to identify IED localization and timing. The development of these automatic IED detection algorithms provide a step forward in clinical MEG practice by decreasing the duration of MEG analysis and enhancing its sensitivity.
MeSH term(s)	Child ; Humans ; Magnetoencephalography/methods ; Electroencephalography/methods ; Epilepsy/diagnosis ; Epilepsies, Partial ; Algorithms
Language	English
Publishing date	2023-12-25
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	282721-9
ISSN	1872-678X ; 0165-0270
ISSN (online)	1872-678X
ISSN	0165-0270
DOI	10.1016/j.jneumeth.2023.110052
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