Syllable-Initial Phonemes Affect Neural Entrainment to Consonant-Vowel Syllables DOI Creative Commons

M. Oana Cucu,

Nina Kazanina, Conor Houghton

и другие.

Frontiers in Neuroscience, Год журнала: 2022, Номер 16

Опубликована: Июнь 14, 2022

Neural entrainment to speech appears rely on syllabic features, especially those pertaining the acoustic envelope of stimuli. It has been proposed that neural tracking depends phoneme features. In present electroencephalography experiment, we examined data from 25 participants investigate near-isochronous stimuli comprising syllables beginning with different phonemes. We measured inter-trial phase coherence responses these and assessed relationship between this properties designed quantify their "edginess." found was across classes syllable-initial depended amount "edge" in sound envelope. particular, best edge marker predictor latency maximum derivative each syllable.

Язык: Английский

Neural oscillations are a start toward understanding brain activity rather than the end DOI Creative Commons
Keith B. Doelling, M. Florencia Assaneo

PLoS Biology, Год журнала: 2021, Номер 19(5), С. e3001234 - e3001234

Опубликована: Май 4, 2021

Does rhythmic neural activity merely echo the features of environment, or does it reflect a fundamental computational mechanism brain? This debate has generated series clever experimental studies attempting to find an answer. Here, we argue that field been obstructed by predictions oscillators are based more on intuition rather than biophysical models compatible with observed phenomena. What follows is cautionary examples serve as reminders ground our hypotheses in well-developed theories oscillatory behavior put forth theoretical study dynamical systems. Ultimately, hope this exercise will push concern itself less vague question "oscillation not" and specific can be readily tested.

Язык: Английский

Процитировано

103

High-resolution neural recordings improve the accuracy of speech decoding DOI Creative Commons
Suseendrakumar Duraivel, Shervin Rahimpour, Chia‐Han Chiang

и другие.

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Ноя. 6, 2023

Patients suffering from debilitating neurodegenerative diseases often lose the ability to communicate, detrimentally affecting their quality of life. One solution restore communication is decode signals directly brain enable neural speech prostheses. However, decoding has been limited by coarse recordings which inadequately capture rich spatio-temporal structure human signals. To resolve this limitation, we performed high-resolution, micro-electrocorticographic (µECoG) during intra-operative production. We obtained with 57× higher spatial resolution and 48% signal-to-noise ratio compared macro-ECoG SEEG. This increased signal improved 35% standard intracranial Accurate was dependent on high-spatial interface. Non-linear models designed utilize enhanced information produced better results than linear techniques. show that high-density µECoG can high-quality for future

Язык: Английский

Процитировано

31

Envelope reconstruction of speech and music highlights stronger tracking of speech at low frequencies DOI Creative Commons
Nathaniel J. Zuk, Jeremy W. Murphy, Richard B. Reilly

и другие.

PLoS Computational Biology, Год журнала: 2021, Номер 17(9), С. e1009358 - e1009358

Опубликована: Сен. 17, 2021

The human brain tracks amplitude fluctuations of both speech and music, which reflects acoustic processing in addition to the encoding higher-order features one’s cognitive state. Comparing neural tracking music envelopes can elucidate stimulus-general mechanisms, but direct comparisons are confounded by differences their envelope spectra. Here, we use a novel method frequency-constrained reconstruction stimulus using EEG recorded during passive listening. We expected see match narrow range frequencies, instead found that was reconstructed better than for all frequencies examined. Additionally, models trained on types performed as well or stimulus-specific at higher modulation suggesting common mechanism music. However, low below 1 Hz, associated with increased weighting over parietal channels, not present other stimuli. Our results highlight importance low-frequency suggest an origin from speech-specific brain.

Язык: Английский

Процитировано

48

Naturalistic spoken language comprehension is supported by alpha and beta oscillations DOI Creative Commons
Ιωάννα Ζιώγα, Hugo Weissbart, Ashley Lewis

и другие.

Journal of Neuroscience, Год журнала: 2023, Номер unknown, С. JN - 22

Опубликована: Апрель 14, 2023

Brain oscillations are prevalent in all species and involved numerous perceptual operations. Alpha thought to facilitate processing through the inhibition of task-irrelevant networks, while beta linked putative reactivation content representations. Can proposed functional role alpha be generalized from low-level operations higher-level cognitive processes? Here we address this question focusing on naturalistic spoken language comprehension. Twenty-two (18 female) Dutch native speakers listened stories French magnetoencephalography (MEG) was recorded. We used dependency parsing identify three states at each word: number (1) newly opened dependencies, (2) dependencies that remained open, (3) resolved dependencies. then constructed forward models predict power features. Results showed features language-related regions beyond linguistic Left temporal, fundamental comprehension alpha, frontal parietal, higher-order regions, motor beta. Critically, alpha- beta-band dynamics seem subserve tapping into syntactic structure building semantic composition by providing mechanistic for processes. Due temporal similarity alpha-beta responses, their potential dissociation remains elucidated. Overall, study sheds light during comprehension, evidence generalizability these complex SIGNIFICANCE STATEMENT: It unclear whether function is generalizable processes, such as found when listening speech a known language. offer experimental findings integrate neuroscientific framework brain “building blocks” with This supports view domain-general across hierarchy functions, sensory abstract

Язык: Английский

Процитировано

20

A tradeoff between acoustic and linguistic feature encoding in spoken language comprehension DOI Creative Commons
Filiz Tezcan, Hugo Weissbart, Andrea E. Martin

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Июль 7, 2023

When we comprehend language from speech, the phase of neural response aligns with particular features speech input, resulting in a phenomenon referred to as

Язык: Английский

Процитировано

20

Challenges and Approaches in the Study of Neural Entrainment DOI
Katharina Duecker, Keith B. Doelling, Assaf Breska

и другие.

Journal of Neuroscience, Год журнала: 2024, Номер 44(40), С. e1234242024 - e1234242024

Опубликована: Окт. 2, 2024

When exposed to rhythmic stimulation, the human brain displays activity across sensory modalities and regions. Given ubiquity of this phenomenon, how rhythms are transformed into neural remains surprisingly inconclusive. An influential model posits that endogenous oscillations entrain external rhythms, thereby encoding environmental dynamics shaping perception. However, research on entrainment faces multiple challenges, from ambiguous definitions methodological difficulties when need be identified disentangled other stimulus-related mechanisms can lead similar phase-locked responses. Yet, recent years have seen novel approaches overcome these including computational modeling, insights dynamical systems theory, sophisticated stimulus designs, study neuropsychological impairments. This review outlines key challenges in research, delineates state-of-the-art approaches, integrates findings animal neurophysiology provide a broad perspective usefulness, validity, constraints oscillatory models brain-environment interaction.

Язык: Английский

Процитировано

8

Effects of Stimulus Rate and Periodicity on Auditory Cortical Entrainment to Continuous Sounds DOI Creative Commons
Sara Momtaz, Gavin M. Bidelman

eNeuro, Год журнала: 2024, Номер 11(3), С. ENEURO.0027 - 23.2024

Опубликована: Янв. 22, 2024

The neural mechanisms underlying the exogenous coding and entrainment to repetitive auditory stimuli have seen a recent surge of interest. However, few studies characterized how parametric changes in stimulus presentation alter entrained responses. We examined degree which brain entrains repeated speech (i.e., /ba/) nonspeech click) sounds using phase-locking value (PLV) analysis applied multichannel human electroencephalogram (EEG) data. Passive cortico-acoustic tracking was investigated N = 24 normal young adults utilizing EEG source analyses that isolated activity stemming from both temporal cortices. parametrically manipulated rate periodicity repetitive, continuous click investigate speed jitter ongoing sound streams affect oscillatory entrainment. Neuronal synchronization enhanced at 4.5 Hz (the putative universal speech) showed differential pattern clicks, particularly higher rates. PLV decreased with increasing but remained superior clicks. Surprisingly, clicks invariant manipulations. Our findings provide evidence brain's complex is more sensitized when processing speech-like stimuli, even syllable level, relative sounds. fact this specialization apparent under passive listening suggests priority system for synchronizing behaviorally relevant signals.

Язык: Английский

Процитировано

7

The structure and statistics of language jointly shape cross-frequency neural dynamics during spoken language comprehension DOI Creative Commons
Hugo Weissbart, Andrea E. Martin

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Окт. 14, 2024

Humans excel at extracting structurally-determined meaning from speech despite inherent physical variability. This study explores the brain's ability to predict and understand spoken language robustly. It investigates relationship between structural statistical knowledge in brain dynamics, focusing on phase amplitude modulation. Using syntactic features constituent hierarchies surface statistics a transformer model as predictors of forward encoding models, we reconstructed cross-frequency neural dynamics MEG data during audiobook listening. Our findings challenge strict separation linguistic structure brain, with both aiding signal reconstruction. Syntactic have more temporally spread impact, word entropy number closing constituents are linked phase-amplitude coupling implying role temporal prediction cortical oscillation alignment processing. results indicate that structured information jointly shape comprehension suggest an integration process via mechanism.

Язык: Английский

Процитировано

5

Dissociating prosodic from syntactic delta activity during natural speech comprehension DOI Creative Commons

Nikos Chalas,

Lars Meyer, Chia-Wen Lo

и другие.

Current Biology, Год журнала: 2024, Номер 34(15), С. 3537 - 3549.e5

Опубликована: Июль 23, 2024

Decoding human speech requires the brain to segment incoming acoustic signal into meaningful linguistic units, ranging from syllables and words phrases. Integrating these constituents a coherent percept sets root of compositional meaning hence understanding. One important cue for segmentation in natural is prosodic cues, such as pauses, but their interplay with higher-level processing still unknown. Here, we dissociate neural tracking pauses multi-word chunks using magnetoencephalography (MEG). We find that manipulating regularity disrupts slow speech-brain bilaterally auditory areas (below 2 Hz) turn increases left-lateralized coherence higher-frequency activity at onsets (around 25-45 Hz). Critically, also chunks-defined short, bundles inter-word dependencies-are processed through rhythmic fluctuations low-frequency independently cues. Importantly, alignment chunk accuracy an encoding model bilateral frontal while controlling effect acoustics. Our findings provide novel insights basis perception, demonstrating both features (prosodic cues) abstract timescale are underpinned by electrophysiological delta frequency range.

Язык: Английский

Процитировано

4

Impaired Cortical Tracking of Speech in Children with Developmental Language Disorder DOI Creative Commons
Anni Nora,

Oona Rinkinen,

Hanna Renvall

и другие.

Journal of Neuroscience, Год журнала: 2024, Номер 44(22), С. e2048232024 - e2048232024

Опубликована: Апрель 8, 2024

In developmental language disorder (DLD), learning to comprehend and express oneself with spoken is impaired, but the reason for this remains unknown. Using millisecond-scale magnetoencephalography recordings combined machine models, we investigated whether possible neural basis of disruption lies in poor cortical tracking speech. The stimuli were common Finnish words (e.g., dog, car, hammer) sounds corresponding meanings dog bark, car engine, hammering). both children DLD (10 boys 7 girls) typically developing (TD) control (14 3 girls), aged 10–15 years, activation was best modeled as time-locked unfolding speech input at ∼100 ms latency between sound activation. Amplitude envelope (amplitude changes) spectrogram (detailed time-varying spectral content) words, not other sounds, very successfully decoded based on brain responses bilateral temporal areas; responses, models could tell ∼75–85% accuracy which two had been presented participant. However, representation amplitude information poorer compared TD longer latencies (at ∼200–300 lag). We interpret effect reflecting retention acoustic–phonetic short-term memory. This impaired potentially affect processing well continuous present results offer an explanation problems comprehension acquisition DLD.

Язык: Английский

Процитировано

3