1 |
Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Computational Models in Electroencephalography.
|
|
|
|
In: Brain topography, vol 35, iss 1 (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
|
|
|
|
In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
|
|
BASE
|
|
Show details
|
|
6 |
Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial
|
|
|
|
In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022)
|
|
BASE
|
|
Show details
|
|
7 |
Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
|
|
|
|
In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
|
|
BASE
|
|
Show details
|
|
8 |
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
|
|
|
|
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
|
|
BASE
|
|
Show details
|
|
9 |
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features
|
|
|
|
BASE
|
|
Show details
|
|
10 |
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
|
|
|
|
In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
|
|
BASE
|
|
Show details
|
|
11 |
Somatosensory contribution to audio-visual speech processing
|
|
|
|
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. ⟨10.1016/j.cortex.2021.07.013⟩ ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021)
|
|
BASE
|
|
Show details
|
|
12 |
An ERP index of real-time error correction within a noisy-channel framework of human communication.
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Good Scientific Practice in MEEG Research: Progress and Perspectives
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021)
|
|
BASE
|
|
Show details
|
|
14 |
Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
|
|
|
|
Abstract:
Rhythmic sensory or electrical stimulation will produce rhythmic brain responses. These rhythmic responses are often interpreted as endogenous neural oscillations aligned (or "entrained") to the stimulus rhythm. However, stimulus-aligned brain responses can also be explained as a sequence of evoked responses, which only appear regular due to the rhythmicity of the stimulus, without necessarily involving underlying neural oscillations. To distinguish evoked responses from true oscillatory activity, we tested whether rhythmic stimulation produces oscillatory responses which continue after the end of the stimulus. Such sustained effects provide evidence for true involvement of neural oscillations. In Experiment 1, we found that rhythmic intelligible, but not unintelligible speech produces oscillatory responses in magnetoencephalography (MEG) which outlast the stimulus at parietal sensors. In Experiment 2, we found that transcranial alternating current stimulation (tACS) leads to rhythmic fluctuations in speech ...
|
|
Keyword:
Adult; Biological Clocks; Brain; Electroencephalography; Female; Humans; Magnetoencephalography; Male; Middle Aged; Speech Perception; Transcranial Direct Current Stimulation
|
|
URL: https://dx.doi.org/10.17863/cam.65981 https://www.repository.cam.ac.uk/handle/1810/318866
|
|
BASE
|
|
Hide details
|
|
17 |
Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
|
|
|
|
In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
|
|
BASE
|
|
Show details
|
|
18 |
Testing Low-Frequency Neural Activity in Sentence Understanding ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
ВОЗДЕЙСТВИЕ ТЕХНОЛОГИЙ ВИРТУАЛЬНОЙ РЕАЛЬНОСТИ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ ПАЦИЕНТОВ С АФАЗИЯМИ ... : The impact of virtual reality on the emotional state of patients with aphasia ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Testing Low-Frequency Neural Activity in Sentence Understanding
|
|
|
|
BASE
|
|
Show details
|
|
|
|