Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

eLife, Год журнала: 2021, Номер 10

Опубликована: Окт. 21, 2021

A hallmark of electrophysiological brain activity is its 1/f-like spectrum – power decreases with increasing frequency. The steepness this ‘roll-off’ approximated by the spectral exponent, which in invasively recorded neural populations reflects balance excitatory to inhibitory (E:I balance). Here, we first establish that exponent non-invasive electroencephalography (EEG) recordings highly sensitive general (i.e., anaesthesia-driven) changes E:I balance. Building on EEG as a viable marker E:I, then demonstrate sensitivity focus selective attention an experiment during participants detected targets simultaneous audio-visual noise. In addition these endogenous balance, exponents over auditory and visual sensory cortices also tracked stimulus exponents, respectively. Individuals’ degree stimulus–brain coupling predicted behavioural performance. Our results highlight rich information contained activity, providing window into diverse processes previously thought be inaccessible human recordings.

Язык: Английский

---

Interactional synchrony: signals, mechanisms and benefits

Social Cognitive and Affective Neuroscience, Год журнала: 2020, Номер 16(1-2), С. 5 - 18

Опубликована: Март 2, 2020

Many group-living animals, humans included, occasionally synchronize their behavior with that of conspecifics. Social psychology and neuroscience have attempted to explain this phenomenon. Here we sought integrate results around three themes: the stimuli, mechanisms benefits interactional synchrony. As regards asked what characteristics, apart from temporal regularity, prompt synchronization found stimulus modality complexity are important. The high resolution auditory system relevance socio-emotional information endow auditory, multimodal, emotional somewhat variable adaptive sequences particular synchronizing power. Looking at revealed traditional perspectives emphasizing beat-based representations others' signals conflict more recent work investigating perception regularity. Timing processes supported by striato-cortical loops represent any kind repetitive interval sequence fairly automatically. Additionally, posterior superior cortex help such value motivating extent synchronizing. Synchronizing arise an increased predictability incoming include many positive outcomes ranging basic processing individual level bonding dyads larger groups.

Язык: Английский

---

Processing rhythm in speech and music: Shared mechanisms and implications for developmental speech and language disorders.

Neuropsychology, Год журнала: 2021, Номер 35(8), С. 771 - 791

Опубликована: Авг. 26, 2021

HAL is

Язык: Английский

---

Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research

Frontiers in Neuroscience, Год журнала: 2021, Номер 15

Опубликована: Ноя. 22, 2021

Cognitive neuroscience, in particular research on speech and language, has seen an increase the use of linear modeling techniques for studying processing natural, environmental stimuli. The availability such computational tools prompted similar investigations many clinical domains, facilitating study cognitive sensory deficits under more naturalistic conditions. However, (and often highly heterogeneous) cohorts introduces added layer complexity to procedures, potentially leading instability and, as a result, inconsistent findings. Here, we outline some key methodological considerations applied research, referring hypothetical experiment involving worked examples simulated electrophysiological (EEG) data. In particular, focus experimental design, data preprocessing, stimulus feature extraction, model training evaluation, interpretation weights. Throughout paper, demonstrate implementation each step MATLAB using mTRF-Toolbox discuss how address issues that could arise research. doing so, hope provide better intuition these technical points resource researchers investigating ecologically rich

Язык: Английский

---

Interbrain synchrony: on wavy ground

Trends in Neurosciences, Год журнала: 2022, Номер 45(5), С. 346 - 357

Опубликована: Фев. 28, 2022

Язык: Английский

---

Synchronous, but not entrained: exogenous and endogenous cortical rhythms of speech and language processing

Language Cognition and Neuroscience, Год журнала: 2019, Номер 35(9), С. 1089 - 1099

Опубликована: Дек. 11, 2019

Research on speech processing is often focused a phenomenon termed "entrainment", whereby the cortex shadows rhythmic acoustic information with oscillatory activity. Entrainment has been observed to range of rhythms present in speech; addition, synchronicity abstract (e.g. syntactic structures) observed. accounts face two challenges: First, not exactly rhythmic; second, representations that lack clear counterpart described. We propose apparent entrainment does always result from information. Rather, internal may have functionalities generation and predictions. While acoustics provide punctate opportunities for entrainment, also live life their own infer predict information, leading intrinsic – be counted as entrainment. This possibility open up new research avenues psycho– neurolinguistic study language development.

Язык: Английский

---

Continuous speech processing

Current Opinion in Physiology, Год журнала: 2020, Номер 18, С. 25 - 31

Опубликована: Июль 28, 2020

Язык: Английский

---

Synchronisation of Neural Oscillations and Cross-modal Influences

Trends in Cognitive Sciences, Год журнала: 2020, Номер 24(6), С. 481 - 495

Опубликована: Апрель 18, 2020

Electrophysiological studies suggest that cross-modal influences in sensory cortices are mediated by the synchronisation of neural oscillations through phase-resetting and entrainment mechanisms.Low-frequency delta, theta, lower alpha ranges suggested to provide temporal windows for influences.Top-down factors, such as task goals expectations, may modulate multisensory processing well oscillations.Bayesian computational modelling provides a new approach probe influences. At any given moment, we receive multiple signals from our different senses. Prior research has shown one modality can influence activity behavioural performance associated with another modality. Recent human nonhuman primate ongoing oscillations. In this review, consider two mechanisms proposed facilitate on processing, namely phase resetting entrainment. We how top-down processes further flexible manner, highlight fruitful directions research. daily life, continuously information modalities, sight, sound, touch. Think glass falling breaking floor or footsteps person walking into room. Incoming often interrelated complementary evidence about environment. To form rich adaptive understanding environment, modalities another. When originating common sources, spatial proximity correlation lead integration representations. shed light (see Glossary) integration, review whether oscillatory cortical areas contribute. Specifically, use term 'cross-modal influences' express stimulation affects behaviour [1.Stein B.E. et al.Semantic confusion regarding development integration: practical solution.Eur. J. Neurosci. 2010; 31: 1713-1720Crossref PubMed Scopus (0) Google Scholar,2.Keil Senkowski D. Neural orchestrate processing.Neuroscientist. 2018; 24: 609-626Crossref (19) Scholar]. The first regions process incoming visual, auditory, somatosensory primary visual (V1), auditory (A1), (S1) cortices. According standard perceptual systems, evolves extraction simple features these highly specialised structures progressively more integrated representations unimodal multimodal associative [3.Mesulam M.M. From sensation cognition.Brain. 1998; 121: 1013-1052Crossref (1834) Outputs loosely hierarchical networks then converge higher order regions, particular superior sulcus (STS), intraparietal (IPS), prefrontal (PFC) [4.Ghazanfar A.A. Schroeder C.E. Is neocortex essentially multisensory?.Trends Cogn. Sci. 2006; 10: 278-285Abstract Full Text PDF (883) Scholar,5.Van Atteveldt N. al.Multisensory general operations.Neuron. 2014; 81: 1240-1253Abstract (137) Traditionally, it been believed merging cortex occurred exclusively regions. However, several animal have provided convincing occur much earlier, even at level [2.Keil Scholar,4.Ghazanfar Scholar,6.Kayser C. Logothetis N.K. Do early integrate information?.Brain Struct. Funct. 2007; 212: 121-132Crossref (192) Scholar, 7.Driver Noesselt T. Multisensory interplay reveals crossmodal 'sensory-specific' brain responses, judgments.Neuron. 2008; 57: 11-23Abstract (609) 8.Senkowski al.Crossmodal binding coherence: implications processing.Trends 401-409Abstract (251) 9.Schroeder Foxe contributions low-level, 'unisensory' processing.Curr. Opin. Neurobiol. 2005; 15: 454-458Crossref (342) These modulatory nature. Rather than driving neuronal activity, change excitability dominant [7.Driver Scholar,10.Lakatos P. al.Neuronal interaction cortex.Neuron. 53: 279-292Abstract (653) findings prompted revision pathways enable cortex. addition indirect (STS, IPS, PFC) Scholar,7.Driver Scholar], there subcortical (e.g., colliculus pulvinar nucleus thalamus) [10.Lakatos 11.Hackett T.A. convergence cortex, II. Thalamocortical connections caudal plane.J. Comp. Neurol. 502: 924-952Crossref 12.Cappe al.Thalamocortical dual pattern corticothalamic projections posterior parietal macaque monkeys.Neuroscience. 146: 1371-1387Crossref possibly direct lateral between [13.Falchier A. al.Anatomical striate cortex.J. 2002; 22: 5749-5759Crossref principle, coexist, involvement depend specific stimulus parameters, demands, presence factors. Recently, promoted notion be an important mechanism enabling facilitating transfer across [5.Van Scholar,8.Senkowski Scholar] (for recent see Scholar]). reflect rhythmic fluctuations ensembles related dynamics circuits which embedded kinetics their ionic channels [14.Buzsáki G. Rhythms Brain. Oxford University Press, 2009Google Rhythmic transitions states relatively high low characterised terms frequency, amplitude, indicates point along cycle 0 2 pi, corresponding peak, trough, somewhere between. Sensory inputs coinciding high-excitability state elicit stronger whereas low-excitability attenuated [15.Lakatos al.Entrainment attentional selection.Science. 320: 110-113Crossref (960) This suggests phases is optimised. Indeed, various tasks fluctuates according [16.VanRullen R. Perceptual cycles.Trends 2016; 20: 723-735Abstract (181) While amplitude frequency also impact [17.Schalk al.Instantaneous voltage alternative power- phase-based interpretation activity.Neuroimage. 2017; 157: 545-554Crossref (9) mainly focuses phase-dependent effects. repeatedly and/or Scholar,18.Schroeder Lakatos Low-frequency instruments selection.Trends 2009; 32: 9-18Abstract (865) terms, considered synchronised 'phase coherent' when constant relationship modality-specific activations over time [19.Fries A cognitive dynamics: communication coherence.Trends 9: 474-480Abstract (2258) Scholar,20.Fries cognition: coherence.Neuron. 2015; 88: 220-235Abstract (750) Previous theoretical empirical work essential determining selection routing both within Scholar,19.Fries Whereas occurring synchrony effectively exchanged, asynchronous linked likely impeded. Synchronisation usually come mechanisms: ([10.Lakatos Scholar]; [21.Thorne J.D. Debener S. Look now hear what's coming: functional role reset.Hear. Res. 307: 144-152Crossref (36) Scholar]) schematic representation, Figure 1). concept was introduced intramodal [22.Makeig al.Dynamic sources evoked responses.Science (80-. ). 295: 690-694Crossref sparked interest non-invasive study event-related [23.Makeig al.Mining dynamics.Trends 2004; 8: 204-210Abstract (911) (Box Cross-modal reset refers 'reset' transient event (Figure 1A). benefits synchronising events bring similar case, single salient attended external (or internal) 'set' oscillation [24.Lakatos al.The leading sense: supramodal control neurophysiological context attention.Neuron. 64: 419-430Abstract (242) Scholar].Box 1Phase Resetting MechanismThe event. tasks, result accuracy reaction times theta bands [37.Landau A.N. Fries Attention samples stimuli rhythmically.Curr. Biol. 2012; 1000-1004Abstract (252) Scholar,106.Fiebelkorn I.C. al.Rhythmic sampling objects despite sustained attention cued location.Curr. 2013; 23: 2553-2558Abstract (160) 107.Helfrich R.F. al.Neural rhythmic.Neuron. 99: 854-865Abstract (79) 108.Fiebelkorn al.A dynamic frontoparietal network underlies 842-853Abstract (67) 109.de Graaf al.Alpha-band rhythms performance: phase-locking stimulation.PLoS One. 8e60035Crossref (94) audition demonstrated target detection range response tone [110.Ho H.T. al.Auditory sensitivity decision criteria oscillate frequencies separately ears.Curr. 27: 3643-3649Abstract (21) Phase resets observed cues red disk) [41.Mercier M.R. al.Neuro-oscillatory alignment drives speeded times: electro-corticographic investigation.J. 35: 8546-8557Crossref (48) brief tones white noise burst [28.Naue modulates subsequent responses humans.J. 2011; 7729-7736Crossref Scholar]), Table 1 main text). Internal periodic performance. internally generated motor [111.Benedetto modulation contrast discrimination triggered action.Proc. Soc. B 283: 20160692Crossref Scholar,112.Tomassini synchronized action.J. 7019-7029Crossref (50) [113.Benedetto rhythm action perception.J. 2019; 187-200Crossref (1) Overall, emergence periodicities time-locked prime indicator Scholar,27.Fiebelkorn al.Ready, set, reset: stimulus-locked periodicity behavioral demonstrates consequences cross-sensory reset.J. 9971-9981Crossref (78) Scholar,38.Henry M.J. Obleser Frequency entrains slow optimizes listening behavior.Proc. Natl. Acad. U. 109: 20095-20100Crossref (190) Scholar].On physiological level, difficulties arise genuine reset. pure stimulus-induced realignment without concomitant power brain, unlikely pure. Stimuli evoke increase frequencies, thus concentration measures Scholar,114.Shah A.S. fundamental potentials.Cereb. Cortex. 14: 476-483Crossref (173) involve Separating problematic. resolutions intracranial recordings make easier distinguish [32.Mercier al.Auditory-driven cortex: electrocorticography integration.Neuroimage. 79: 19-29Crossref (71) Scholar,41.Mercier possible using scalp EEG data overcome limitations studies, necessary resolution dense computing Scholar,40.Thorne al.Cross-modal predicts 3853-3861Crossref analysis methods investigate instantaneous before, during, after stimulus. On described investigating nonauditory Scholar,25.Kayser al.Visual neurons cortex.Cereb. 18: 1560-1574Crossref (320) For instance, median nerve preceding changed A1. Moreover, modulated ph

Язык: Английский

---

Linguistic Structure and Meaning Organize Neural Oscillations into a Content-Specific Hierarchy

Journal of Neuroscience, Год журнала: 2020, Номер 40(49), С. 9467 - 9475

Опубликована: Окт. 23, 2020

Neural oscillations track linguistic information during speech comprehension (Ding et al., 2016; Keitel 2018), and are known to be modulated by acoustic landmarks intelligibility (Doelling 2014; Zoefel VanRullen, 2015). However, studies investigating tracking have either relied on non-naturalistic isochronous stimuli or failed fully control for prosody. Therefore, it is still unclear whether low-frequency activity tracks structure natural speech, where does not follow such a palpable temporal pattern. Here, we measured electroencephalography (EEG) manipulated the presence of semantic syntactic apart from timescale their occurrence, while carefully controlling acoustic-prosodic lexical-semantic in signal. EEG was recorded 29 adult native speakers (22 women, 7 men) listened naturally spoken Dutch sentences, jabberwocky controls with morphemes sentential prosody, word lists lexical content but no phrase structure, backward acoustically matched controls. Mutual (MI) analysis revealed sensitivity content: MI highest sentences at phrasal (0.8–1.1 Hz) (1.9–2.8 timescales, suggesting that delta-band lexically driven combinatorial processing beyond (i.e., meaning) organizes neural rhythmicity stimulus. This pattern consistent neurophysiologically inspired models language (Martin, 2016, 2020; Martin Doumas, 2017) encode endogenously generated over above exogenous stimulus-driven timing rhythm information. SIGNIFICANCE STATEMENT Biological systems like brain environment only reacting series responses, combining endogenous, internally generated, inferential knowledge meaning. Understanding human benchmark this. Much research focuses purely response, here, focus goal behavior: conveying To end, use naturalistic contrast show that, comprehension, oscillatory modulations reflect computations related inferring meaning Our experiment provides first evidence date compositional organize prosodic

Язык: Английский

---

Sustained neural rhythms reveal endogenous oscillations supporting speech perception

PLoS Biology, Год журнала: 2021, Номер 19(2), С. e3001142 - e3001142

Опубликована: Фев. 26, 2021

Rhythmic sensory or electrical stimulation will produce rhythmic brain responses. These responses are often interpreted as endogenous neural oscillations aligned (or “entrained”) to the stimulus rhythm. However, stimulus-aligned can also be explained a sequence of evoked responses, which only appear regular due rhythmicity stimulus, without necessarily involving underlying oscillations. To distinguish from true oscillatory activity, we tested whether produces continue after end stimulus. Such sustained effects provide evidence for involvement In Experiment 1, found that intelligible, but not unintelligible speech in magnetoencephalography (MEG) outlast at parietal sensors. 2, transcranial alternating current (tACS) leads fluctuations perception outcomes stimulation. We further report phase relation between electroencephalography (EEG) and intelligible predict tACS most accurate perception. Together, fundamental results several lines research—including entrainment tACS—and reveal key principle

Язык: Английский

---