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

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

350
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
350

You might also read

Related Articles

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

Sort by
Same author

Input-dependent directionality of interactions between cortical areas.

bioRxiv : the preprint server for biology·2026
Same author

Cognitive, Electrophysiological, and Behavioral Presentation of First-Episode Psychosis With or Without Cannabis Exposure.

The American journal of psychiatry·2026
Same author

Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.

Nature communications·2026
Same author

A multisite study of the overlap between symptoms and cognition in schizophrenia: Une étude multicentrique sur le chevauchement entre les symptômes et les troubles cognitifs chez les personnes atteintes de schizophrénie.

Canadian journal of psychiatry. Revue canadienne de psychiatrie·2025
Same author

A posture subspace in the primary motor cortex.

Neuron·2025
Same author

Brain-computer interfaces as a causal probe for scientific inquiry.

Trends in cognitive sciences·2025

Related Experiment Video

Updated: Aug 18, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.7K

Tracking momentary fluctuations in human attention with a cognitive brain-machine interface.

Abhijit M Chinchani1,2, Siddharth Paliwal1,3, Suhas Ganesh1,4

  • 1Centre for Neuroscience, Indian Institute of Science, Bangalore, KA, India.

Communications Biology
|December 8, 2022
PubMed
Summary
This summary is machine-generated.

Momentary neural fluctuations, specifically steady-state visually evoked potentials (SSVEPs), significantly impact attention. Higher SSVEP power correlates with better discrimination accuracy, offering insights for attention tracking and training.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.6K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.8K

Related Experiment Videos

Last Updated: Aug 18, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.7K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.6K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.8K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Human Brain Research

Background:

  • Selective attention demonstrably influences neural states.
  • The reciprocal relationship, where neural state fluctuations affect attention, remains less understood.

Purpose of the Study:

  • To investigate if real-time neural state fluctuations, specifically steady-state visually evoked potentials (SSVEPs), have behavioral significance for attention.
  • To explore the potential of using SSVEP dynamics as a marker for attentional states.

Main Methods:

  • Utilized a cognitive brain-machine interface (cBMI) to track electrophysiological SSVEPs in real-time.
  • Measured discrimination accuracy (d') in relation to SSVEP power states.
  • Employed an auditory neurofeedback paradigm to manipulate cross-hemispheric SSVEP interactions.

Main Results:

  • Discrimination accuracy was significantly higher during high SSVEP power states compared to low SSVEP power states.
  • Target and distractor SSVEP power were uncorrelated, and distractor power did not affect target discrimination.
  • Behavioral effects were strongest when SSVEP dynamics aligned with endogenous attention timescales.

Conclusions:

  • SSVEP power dynamics serve as a reliable indicator of an individual's current attentional state.
  • Findings have significant implications for developing methods to track and train human attention effectively.