Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Non-Verbal Cues01:29

Non-Verbal Cues

286
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
286
Components of Language01:24

Components of Language

752
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
752
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.5K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Challenges and Methods in Annotating Natural Speech for Neurolinguistic Research.

Neurobiology of language (Cambridge, Mass.)·2025
Same author

Neural Speech Tracking during Selective Attention: A Spatially Realistic Audiovisual Study.

eNeuro·2025
Same author

Selective attention and sensitivity to auditory disturbances in a virtually real classroom.

eLife·2025
Same author

Exploring Relevant Features for EEG-Based Investigation of Sound Perception in Naturalistic Soundscapes.

eNeuro·2025
Same author

Selective attention and sensitivity to auditory disturbances in a virtually-real Classroom: Comparison of adults with and without AD(H)D.

bioRxiv : the preprint server for biology·2024
Same author

High-density ear-EEG for understanding ear-centered EEG.

Journal of neural engineering·2023
Same journal

A Unified Neural Time Course for Words, Phrases, and Sentences: MEG Evidence from Parallel Presentation.

Neurobiology of language (Cambridge, Mass.)·2026
Same journal

Lexical Representations of the Native and Second Languages During L2 Word Reading in Chinese-English Bilinguals.

Neurobiology of language (Cambridge, Mass.)·2026
Same journal

Same Sentences, Different Grammars, Different Brain Responses?: An MEG Study on Case and Agreement Encoding in Hindi and Nepali Split-Ergative Structures.

Neurobiology of language (Cambridge, Mass.)·2026
Same journal

The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition.

Neurobiology of language (Cambridge, Mass.)·2026
Same journal

How Low-Frequency Neural Activity Structures Language in Time.

Neurobiology of language (Cambridge, Mass.)·2026
Same journal

A Novel Approach to Map the Causal Impact of Brain Stimulation on Semantic Processing With Language Models.

Neurobiology of language (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

5.9K

Attention Modulation to Linguistic Speech Units.

Manuela Jaeger1, Elana Zion Golumbic2, Martin G Bleichner1,3

  • 1Neurophysiology of Everyday Life Group, Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

Neurobiology of Language (Cambridge, Mass.)
|September 17, 2025
PubMed
Summary
This summary is machine-generated.

Selective auditory attention enhances speech segmentation at both phoneme and word levels. This neural speech tracking improves comprehension in complex listening environments by prioritizing attended speech streams.

Keywords:
electroencephalography (EEG)lexical processingneural speech trackingselective auditory attentionspeech processingtemporal response function (TRF)

More Related Videos

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

9.5K
Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism
06:15

Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism

Published on: October 3, 2018

8.1K

Related Experiment Videos

Last Updated: Jan 17, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

5.9K
Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

9.5K
Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism
06:15

Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism

Published on: October 3, 2018

8.1K

Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Cognitive Neuroscience

Background:

  • Auditory attention is crucial for comprehending speech in noisy environments.
  • Lexical speech segmentation involves processing phonemes and words to understand spoken language.
  • Neural mechanisms underlying selective attention in speech processing are not fully understood.

Purpose of the Study:

  • To investigate the influence of selective auditory attention on neural speech segmentation.
  • To differentiate attention effects on phoneme versus word processing.
  • To explore how attention impacts prediction accuracy in speech comprehension.

Main Methods:

  • Electroencephalography (EEG) recordings from 20 participants.
  • Temporal Response Function (TRF) analysis to decode neural activity.
  • Analysis of neural responses to attended versus ignored speech streams.

Main Results:

  • Distinct attention effects were observed for phoneme and word onsets.
  • Phoneme onsets showed attention effects in early, middle, and late time windows.
  • Word onsets exhibited attention effects in middle and late time windows, slightly delayed compared to phonemes.
  • Prediction accuracy improved with models incorporating both phoneme and word information for attended speech.

Conclusions:

  • Selective attention enhances lexical segmentation for attended speech, improving neural tracking and prediction accuracy.
  • Early attention effects on phonemes suggest their role in low-level auditory processing.
  • Later attention effects on words indicate involvement of higher-level processing in speech comprehension.
  • Findings support both hierarchical and parallel speech processing models.