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

Self-Presentation01:25

Self-Presentation

323
Self-presentation is a fundamental aspect of social interaction, shaping both how others perceive individuals and how they view themselves. This dynamic process influences behaviors in various social settings, often leading people to adjust their appearance, speech, and demeanor to align with their desired identity. While self-presentation can be deliberate or unconscious, it plays a critical role in interpersonal relationships and self-perception.Forms of Self-PresentationSelf-presentation can...
323
Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

44.8K
People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
44.8K
Strategies of Self-Presentation I: Strategic Self-Presentation01:12

Strategies of Self-Presentation I: Strategic Self-Presentation

224
Strategic self-presentation refers to individuals' intentional efforts to influence how others perceive them. This process is employed in various social and professional settings, such as job interviews, dating, politics, and legal contexts, where individuals seek to shape impressions to gain social or material advantages. While people generally present themselves in ways that align with their authentic characteristics, external factors, such as cognitive load, can hinder their ability to...
224
Processes of Self-Presentation01:29

Processes of Self-Presentation

251
Effective self-presentation is a central component of social interaction and identity construction. It relies on the dynamic processes of defining the situation and engaging in self-disclosure. These mechanisms help individuals navigate social context expectations and manage how others perceive them, fostering mutual understanding and relationship development.Defining the SituationSocial situations are shaped by collectively understood frames—a set of widely understood rules or...
251
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.8K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.8K
Hybrid Zones02:29

Hybrid Zones

22.0K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
22.0K

You might also read

Related Articles

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

Sort by
Same author

Neural mechanisms of awareness of action.

PNAS nexus·2026
Same author

Decoding visual object recognition from EEG signals.

PloS one·2026
Same author

Nanoelectronic Detection of Opioids: Machine Learning-Powered Screening With Carbon Nanotube Field-Effect Transistor Sensor Array.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Neural Effects of Meditation Following a Randomized Controlled Trial of the Emotion Awareness and Skills Enhancement (EASE).

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Novel machine learning fusion architectures integrating electrocardiogram representations: applications to acute coronary event detection.

European heart journal. Digital health·2026
Same author

An open-access multi-site fMRI dataset for investigating conscious visual perception.

Scientific data·2026

Related Experiment Video

Updated: Feb 7, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

18.4K

Towards optimal visual presentation design for hybrid EEG-fTCD brain-computer interfaces.

Aya Khalaf1, Ervin Sejdic1, Murat Akcakaya1

  • 1Electrical and Computer Engineering Department, University of Pittsburgh, Pittsburgh, PA, United States of America.

Journal of Neural Engineering
|July 20, 2018
PubMed
Summary
This summary is machine-generated.

A novel hybrid brain-computer interface (BCI) using electroencephalography (EEG) and functional transcranial Doppler ultrasound (fTCD) shows higher accuracy for cognitive tasks. This visual stimulation BCI system is a feasible candidate for real-time applications.

More Related Videos

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

958
Double Fluorescence in situ Hybridization in Fresh Brain Sections
12:15

Double Fluorescence in situ Hybridization in Fresh Brain Sections

Published on: August 14, 2010

16.6K

Related Experiment Videos

Last Updated: Feb 7, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

18.4K
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

958
Double Fluorescence in situ Hybridization in Fresh Brain Sections
12:15

Double Fluorescence in situ Hybridization in Fresh Brain Sections

Published on: August 14, 2010

16.6K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Brain-computer interfaces (BCIs) enable communication by decoding brain activity.
  • Hybrid BCIs combining electroencephalography (EEG) and functional transcranial Doppler ultrasound (fTCD) offer enhanced signal detection.
  • Previous work demonstrated motor imagery for EEG-fTCD BCI task discrimination.

Purpose of the Study:

  • To introduce a novel hybrid BCI system integrating EEG and fTCD.
  • To evaluate the system's performance using visual stimulation cognitive tasks (mental rotation and word generation) compared to a baseline.
  • To demonstrate improved BCI accuracy using visual stimulation over motor imagery.

Main Methods:

  • Simultaneous measurement of EEG and fTCD signals during cognitive tasks.
  • Feature extraction from EEG and fTCD power spectrum.
  • Application of mutual information and support vector machines for feature selection and classification.

Main Results:

  • The hybrid EEG-fTCD BCI achieved higher accuracy than EEG alone for task vs. baseline comparisons.
  • An average accuracy of 92.38% was reached for distinguishing between mental rotation and word generation tasks.
  • The system demonstrated average information transfer rates of up to 5.60 bits min⁻¹.

Conclusions:

  • The visual stimulation approach significantly enhances EEG-fTCD BCI accuracy compared to motor imagery.
  • The proposed hybrid BCI system outperforms existing EEG-fNIRS BCIs in accuracy and information transfer rate.
  • The developed hybrid BCI system shows promise as a feasible solution for real-time applications.