Cortical Tracking of Syntax in Post-Stroke Aphasia: An EEG Investigation of Disrupted Sentence Comprehension DOI Open Access
M. Blake Rafferty

Published: Dec. 1, 2023

Purpose.People with aphasia following stroke commonly exhibit marked difficulties in sentence comprehension, referred to as receptive agrammatism.However, theories of agrammatism differ their assumptions regarding the underlying mechanisms impairment.Representation-based ascribe a loss grammatical knowledge.Processing-based suggest that individuals have intact knowledge but may possess insufficient neurocognitive resources apply this within cognitively demanding contexts.In study, we used electroencephalography (EEG) investigate whether these perspectives be disambiguated by neural activity profiles people during comprehension.For purpose, examined aphasia-related changes cortical "tracking" phrases-which has been suggested correlate successfully encoded content.By considering tracking alongside subject-specific performance on set clinical assessments, aimed identify which cognitive-linguistic best explain patterns impaired comprehension presented agrammatism.Methods.Nine post-stroke and nine age-and education-matched neurologically healthy controls participated study.All were native English speakers.Language abilities assessed using Quick Aphasia Battery, working memory was modified listening span task.Following assessment, recorded EEG participants listened sentences varied syntactic semantic complexity.After each sentence, asked pictures matched they had just heard.Cortical quantified via Mutual Information (MI) between responses features sentences.We evaluated how differed groups across levels linguistic complexity, well differences predicted participant performance.Results.Both tracked structure similarly showed delayed for trials where responded incorrectly.Both also increased semantically reversible sentences.However, performed worse items than controls, there no clear relationship task performance.Further investigation revealed scores offline assessments processing significant predictors tracking, whereas sentence-picture matching explained age, overall severity, decreases theta band (4-7Hz) power. Conclusion.Our findings subtly abilities.Our patients speeds reliance phonological when reversible.Moreover, possessed postinterpretive completion, task-demands high content complex.We interpret being consistent processing-based accounts agrammatism.

Language: Английский

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post‐stroke aphasia DOI Creative Commons
Jill Kries, Pieter De Clercq, Marlies Gillis

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(8)

Published: May 26, 2024

Abstract Aphasia is a communication disorder that affects processing of language at different levels (e.g., acoustic, phonological, semantic). Recording brain activity via Electroencephalography while people listen to continuous story allows analyze responses acoustic and linguistic properties speech. When the neural aligns with these speech properties, it referred as tracking. Even though measuring tracking may present an interesting approach studying aphasia in ecologically valid way, has not yet been investigated individuals stroke‐induced aphasia. Here, we explored representations chronic phase after stroke age‐matched healthy controls. We found decreased (envelope envelope onsets) In addition, word surprisal displayed amplitudes around 195 ms over frontal electrodes, although this effect was corrected for multiple comparisons. These results show there potential capture impairments by However, more research needed validate results. Nonetheless, exploratory study shows naturalistic, presents powerful

Language: Английский

Citations

14
Data-Driven Approaches in Special Education DOI
Betsybha Evangeline,

D. Anitha

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 91 - 114

Published: Feb. 13, 2025

Artificial Intelligence and Data Science are transforming education, enabling personalized tools for learning research. Traditional approaches often fail students with disabilities, while offers solutions such as intelligent instructional systems natural language processing that enable accessibility to New interactive communication devices well advanced, supporting individuals speech or disorders through predictive multi-input features visual tracking gesture recognition Key challenges include achieving equal access, privacy technical excellence. Ensuring innovation reaches underserved communities is important, involving teachers, students, parents in the development process improve morale outcomes. Future trends, including virtual augmented reality, promise immersive experiences tailored different needs. Broader collaborations will be critical creating inclusive educational environments support lifelong all students.

Language: Английский

Citations

0
Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia DOI Open Access
Jill Kries, Pieter De Clercq, Marlies Gillis

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 2, 2023

Abstract Aphasia is a communication disorder that affects processing of language at different levels (e.g., acoustic, phonological, semantic). Recording brain activity via EEG while people listen to continuous story allows analyze responses acoustic and linguistic properties speech. When the neural aligns with these speech properties, it referred as tracking. Even though measuring tracking may present an interesting approach studying aphasia in ecologically valid way, has not yet been investigated individuals stroke-induced aphasia. Here, we explored representations chronic phase after stroke age-matched healthy controls. We found decreased (envelope envelope onsets) In addition, word surprisal displayed amplitudes around 195 ms over frontal electrodes, although this effect was corrected for multiple comparisons. These results show there potential capture impairments by However, more research needed validate results. Nonetheless, exploratory study shows naturalistic, presents powerful Key points Individuals display encoding its comparison Neural reveal time (not comparisons). natural can be used

Language: Английский

Citations

9
Integrating EEG and Machine Learning to Analyze Brain Changes during the Rehabilitation of Broca’s Aphasia DOI Creative Commons
Vanesa Močilnik, Veronika Rutar, Jakob Sajovic

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(2), P. 329 - 329

Published: Jan. 5, 2024

The fusion of electroencephalography (EEG) with machine learning is transforming rehabilitation. Our study introduces a neural network model proficient in distinguishing pre- and post-rehabilitation states patients Broca's aphasia, based on brain connectivity metrics derived from EEG recordings during verbal spatial working memory tasks. Granger causality (GC), phase-locking value (PLV), weighted phase-lag index (wPLI), mutual information (MI), complex Pearson correlation coefficient (CPCC) across the delta, theta, low- high-gamma bands were used (excluding GC, which spanned entire frequency spectrum). Across eight participants, employing leave-one-out validation for each, we evaluated intersubject prediction accuracy all methods bands. MI PLV low-gamma emerged as top performers, achieving 89.4%, 85.8%, 82.7% classifying task data. Intriguingly, measures designed to eliminate volume conduction exhibited poorest performance predicting rehabilitation-induced changes. This observation, coupled variations bands, implies that different capture distinct processes involved results this paper contribute current knowledge by presenting clear strategy utilizing limited data achieve valid meaningful post-stroke rehabilitation data, they show differences classification likely reflect underlying after stroke.

Language: Английский

Citations

3
Neural substrates and behavioral relevance of speech envelope tracking: evidence from post-stroke aphasia DOI Creative Commons
Pieter De Clercq, Jill Kries, Jonas Vanthornhout

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 28, 2024

Abstract Neural tracking of the low-frequency temporal envelope speech has emerged as a prominent tool to investigate neural mechanisms natural processing in brain. However, there is ongoing debate regarding functional role tracking. In this context, our study aims offer novel perspective by investigating critical brain areas and behavioral skills required for aphasia, language disorder characterized impaired We analyzed an EEG dataset 39 individuals with post-stroke aphasia suffering left-hemispheric stroke who listened speech. Our analysis involved lesion mapping, where left lesioned voxels served binary features predict measures. also examined correlates receptive language, naming, auditory (via rise time discrimination task) skills. The mapping revealed that lesions areas, such middle gyrus, supramarginal gyrus angular were associated poorer Additionally, was related (receptive naming) effects on less robust, possibly due ceiling scores. findings highlight importance central implicated understanding, extending beyond primary cortex, emphasize intact abilities effectively Collectively, these underscore significance mere audibility acoustic processes. Significance statement While some studies have proposed primarily relates processes, others suggested its involvement actual comprehension. By essential we argue broader processing. Furthermore, specificity among indicating correlation regions functions. This addresses significant heterogeneity characteristics present suggests potential EEG-based specifically assessing population.

Language: Английский

Citations

2
Functional connectivity of stimulus-evoked brain responses to natural speech in post-stroke aphasia DOI Creative Commons
Ramtin Mehraram, Pieter De Clercq, Jill Kries

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 16, 2024

Abstract One out of three stroke-patients develop language processing impairment known as aphasia. The need for ecological validity the existing diagnostic tools motivates research on biomarkers, such stimulus-evoked brain responses. With aim enhancing physiological interpretation latter, we used EEG to investigate how functional network patterns associated with neural response natural speech are affected in persons post-stroke chronic was recorded from 24 healthy controls and 40 aphasia while they listened a story. Stimulus-evoked responses at all scalp regions were measured envelope tracking delta (0.5-4 Hz), theta (4-8 Hz) low-gamma bands (30-49 using mutual information. Functional connectivity between neural-tracking signals measured, Network-Based Statistics toolbox to: 1) assess added value vs time series, 2) test between-group differences 3) any association performance Graph theory also topological alterations higher when assessed compared series. Persons showed weaker low-gamma-band left-hemispheric connectivity, graph theory-based results greater segregation region-specific node strength. Aphasia exhibited correlation delta-band within left pre-frontal region performance. We demonstrated investigating networks Its sensitivity language-related circuits favours its use informative biomarker assessment

Language: Английский

Citations

1
Examining cortical tracking of the speech envelope in post-stroke aphasia DOI Creative Commons
Yina M. Quique, G. Nike Gnanateja, Michael Walsh Dickey

et al.

Frontiers in Human Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Sept. 14, 2023

People with aphasia have been shown to benefit from rhythmic elements for language

Language: Английский

Citations

3
Das Potenzial der frequenzspezifischen Neuromodulation für die Untersuchung und Verbesserung der Sprachverarbeitung im Gehirn DOI
Basil C. Preisig

Zeitschrift für Neuropsychologie, Journal Year: 2024, Volume and Issue: 35(1), P. 1 - 25

Published: Feb. 23, 2024

Zusammenfassung: Das akustische Sprachsignal lässt sich nicht eindeutig in einzelne Wörter unterteilen und ähnelt eher einem kontinuierlichen Lautstrom. Dennoch gibt es zeitliche Regelmäßigkeiten, die möglicherweise bei der Wahrnehmung genutzt werden. Die Dauer von Sprachelementen wie Phonemen, Silben prosodischen Phrasen spiegelt Hirnaktivität Sprachwahrnehmung wider. Trotzdem ist klar, ob tatsächlich ein kausaler Zusammenhang zwischen neuronalen Antwort Qualität besteht. Der vorliegende Übersichtsartikel präsentiert einleitend relevanten Bestandteile des akustischen Sprachsignals, beschreibt neuronale auf Sprachreize im Gehirn zeigt auf, welche neurophysiologischen Veränderungen mit Sprachfunktionsstörungen einhergehen. Es werden verschiedene Verfahren nichtinvasiven Neuromodulation vorgestellt erste Ergebnisse präsentiert, darauf hindeuten, dass durch gezielte Sprachfunktionen verbessern lassen können.

Citations

0
Functional connectivity of stimulus-evoked brain responses to natural speech in post-stroke aphasia DOI
Ramtin Mehraram, Pieter De Clercq, Jill Kries

et al.

Journal of Neural Engineering, Journal Year: 2024, Volume and Issue: 21(6), P. 066010 - 066010

Published: Nov. 5, 2024

Abstract Objective . One out of three stroke-patients develop language processing impairment known as aphasia. The need for ecological validity the existing diagnostic tools motivates research on biomarkers, such stimulus-evoked brain responses. With aim enhancing physiological interpretation latter, we used EEG to investigate how functional network patterns associated with neural response natural speech are affected in persons post-stroke chronic Approach was recorded from 24 healthy controls and 40 aphasia while they listened a story. Stimulus-evoked responses at all scalp regions were measured envelope tracking delta (0.5–4 Hz), theta (4–8 Hz) low-gamma bands (30–49 using mutual information. Functional connectivity between neural-tracking signals measured, Network-Based Statistics toolbox to: (1) assess added value vs time series, (2) test between-group differences (3) any association performance Graph theory also topological alterations Main results higher when assessed compared series. Persons showed weaker low-gamma-band left-hemispheric connectivity, graph theory-based greater segregation region-specific node strength. Aphasia exhibited correlation delta-band within left pre-frontal region performance. Significance. We demonstrated combining connectomics measurement investigating sensitivity language-related circuits this approach favors its use informative biomarker assessment

Language: Английский

Citations

0
Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework DOI
Pieter De Clercq, Corentin Puffay, Jill Kries

et al.

Published: July 15, 2024

Aphasia, a language disorder primarily caused by stroke, is traditionally diagnosed using behavioral tests. However, these tests are time-consuming, require manual interpretation trained clinicians, suffer from low ecological validity, and diagnosis can be biased comorbid motor cognitive problems present in aphasia. In this study, we introduce an automated screening tool for speech processing impairments aphasia that relies on time-locked brain responses to speech, known as neural tracking, within deep learning framework. We modeled electroencephalography (EEG) acoustic, segmentation, linguistic representations of story convolutional networks large sample healthy participants, serving model intact tracking speech. Subsequently, evaluated our models independent comprising 26 individuals with (IWA) 22 controls. Our results reveal decreased all IWA. Utilizing support vector machine classifier measures input, demonstrate high accuracy detection at the individual level (85.42%) time-efficient manner (requiring 9 minutes EEG data). Given its robustness, time efficiency, generalizability unseen data, approach holds significant promise clinical applications.

Language: Английский

Citations

0