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 Experiment Videos

EEG alpha map series: brain micro-states by space-oriented adaptive segmentation.

D Lehmann, H Ozaki, I Pal

    Electroencephalography and Clinical Neurophysiology
    |September 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Otitis media at 6-monthly assessments of Australian First Nations children between ages 12-36 months: Findings from two randomised controlled trials of combined pneumococcal conjugate vaccines.

    International journal of pediatric otorhinolaryngology·2023
    Same author

    International links between Streptococcus pneumoniae vaccine serotype 4 sequence type (ST) 801 in Northern European shipyard outbreaks of invasive pneumococcal disease.

    Vaccine·2022
    Same author

    Cord blood Streptococcus pneumoniae-specific cellular immune responses predict early pneumococcal carriage in high-risk infants in Papua New Guinea.

    Clinical and experimental immunology·2016
    Same author

    [Not Available].

    Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2016
    Same author

    [Not Available].

    Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2016
    Same author

    The functional significance of EEG microstates--Associations with modalities of thinking.

    NeuroImage·2015
    Same journal

    Coming to terms with brain waves.

    Electroencephalography and clinical neurophysiology·2014
    Same journal

    Habituation of lower leg stretch responses in Parkinson's disease.

    Electroencephalography and clinical neurophysiology·2000
    Same journal

    Asymmetry of cortical excitability revealed by transcranial stimulation in a patient with focal motor epilepsy and cortical myoclonus.

    Electroencephalography and clinical neurophysiology·2000
    Same journal

    Evoked isometric muscle contractions in myopathies: analysis of pathophysiological properties by different stimulus patterns.

    Electroencephalography and clinical neurophysiology·2000
    Same journal

    Task-related coherence and task-related spectral power changes during sequential finger movements.

    Electroencephalography and clinical neurophysiology·2000
    Same journal

    Electrophysiological studies in mild idiopathic carpal tunnel syndrome.

    Electroencephalography and clinical neurophysiology·2000
    See all related articles

    This study introduces adaptive segmentation for analyzing electroencephalography (EEG) signals, identifying stable brain activity patterns. These segments may represent fundamental brain states influencing information processing and consciousness.

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Signal Processing

    Background:

    • Spontaneous electroencephalography (EEG) presents as a series of scalp field maps with varying durations of stable configurations and discontinuous changes.
    • Analyzing these EEG dynamics requires robust segmentation methods to identify meaningful epochs.

    Purpose of the Study:

    • To develop and validate an adaptive segmentation strategy for analyzing EEG map series.
    • To investigate the characteristics and potential functional significance of spatially stationary EEG segments.

    Main Methods:

    • An adaptive segmentation approach was employed, selecting EEG maps at times of maximal map relief.
    • Segments were defined by the spatial stability of extreme potentials within a defined window.
    • The method was applied to resting alpha EEG data from 6 subjects.

    Related Experiment Videos

    Main Results:

    • The adaptive segmentation yielded a mean segment duration of 210 msec for resting alpha EEG.
    • Segments longer than 323 msec accounted for 50% of the total recording time.
    • A prominent segment class (1.5% of all classes) occupied 20% of the total time, demonstrating significant variability in class prominence.

    Conclusions:

    • The adaptive segmentation strategy effectively captures EEG dynamics and segment homogeneity.
    • Different identified EEG segment classes may correspond to distinct brain functional states.
    • These spatially stationary segments could be fundamental units of brain information processing, potentially relating to consciousness and performance.