Literature DB >> 14568450

Single-trial variability in early visual neuromagnetic responses: an explorative study based on the regional activation contributing to the N70m peak.

N A Laskaris1, L C Liu, A A Ioannides.   

Abstract

Cortical activity evoked by repeated identical sensory stimulation is extremely variable. The source of this variability is often assigned to "random ongoing background activity" which is considered to be irrelevant to the processing of the stimuli and can therefore be eliminated by ensemble averaging. In this work, we studied the single-trial variability in neuromagnetic responses elicited by circular checkerboard pattern stimuli with radii of 1.8 degrees, 3.7 degrees, and 4.5 degrees. For most of the MEG sensors over the occipital areas, the averaged signal showed a clear early (N70m) response following the stimulus onset and this response was modulated by the checkerboard size. A data-driven spatial filter was used to extract one of the many possible composite time courses of single-trial activity corresponding to the complex of N70m generators. Pattern analysis principles were then employed to analyze, classify, and handle the extracted temporal patterns. We explored whether these patterns correspond to distinct response modes, which could characterize the evoked response better than the averaged signal and over an extended range of latencies around N70m. A novel scheme for detecting and organizing the structure in single-trial recordings was utilized. This served as a basis for comparisons between runs with different checkerboard sizes and provided a causal interpretation of variability in terms of regional dynamics, including the relatively weak activation in primary visual cortex. At the level of single trial activity, the polymorphic response to a simple stimulus is generated by a coupling of polymodal areas and cooperative activity in striate and extrastriate areas. Our results suggest a state-dependent response with a wide range of characteristic time scales and indicate the ongoing activity as a marker of the responsiveness state.

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Year:  2003        PMID: 14568450     DOI: 10.1016/S1053-8119(03)00367-7

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Widely distributed magnetoencephalography spikes related to the planning and execution of human saccades.

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Journal:  J Neurosci       Date:  2005-08-31       Impact factor: 6.167

2.  Size matters: MEG empirical and simulation study on source localization of the earliest visual activity in the occipital cortex.

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3.  BA3b and BA1 activate in a serial fashion after median nerve stimulation: direct evidence from combining source analysis of evoked fields and cytoarchitectonic probabilistic maps.

Authors:  Christos Papadelis; Simon B Eickhoff; Karl Zilles; Andreas A Ioannides
Journal:  Neuroimage       Date:  2010-08-04       Impact factor: 6.556

Review 4.  Moment-to-moment brain signal variability: a next frontier in human brain mapping?

Authors:  Douglas D Garrett; Gregory R Samanez-Larkin; Stuart W S MacDonald; Ulman Lindenberger; Anthony R McIntosh; Cheryl L Grady
Journal:  Neurosci Biobehav Rev       Date:  2013-03-01       Impact factor: 8.989

5.  A spatiotemporal framework for estimating trial-to-trial amplitude variation in event-related MEG/EEG.

Authors:  Tulaya Limpiti; Barry D Van Veen; Hagai T Attias; Srikantan S Nagarajan
Journal:  IEEE Trans Biomed Eng       Date:  2008-10-31       Impact factor: 4.538

6.  Stimulus-contrast-induced biases in activation order reveal interaction between V1/V2 and human MT+.

Authors:  Masaki Maruyama; Daniel D Palomo; Andreas A Ioannides
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

7.  A Novel, Fast, Reliable, and Data-Driven Method for Simultaneous Single-Trial Mining and Amplitude-Latency Estimation Based on Proximity Graphs and Network Analysis.

Authors:  Stavros I Dimitriadis; Lisa Brindley; Lisa H Evans; David E Linden; Krish D Singh
Journal:  Front Neuroinform       Date:  2018-11-19       Impact factor: 4.081

8.  Assessment of Mental Workload by Visual Motor Activity among Control Group and Patient Suffering from Depressive Disorder.

Authors:  G Murugesan; Tousief Irshad Ahmed; Mohammad Shabaz; Jyoti Bhola; Batyrkhan Omarov; R Swaminathan; F Sammy; Sharmin Akter Sumi
Journal:  Comput Intell Neurosci       Date:  2022-03-31

9.  Good practice for conducting and reporting MEG research.

Authors:  Joachim Gross; Sylvain Baillet; Gareth R Barnes; Richard N Henson; Arjan Hillebrand; Ole Jensen; Karim Jerbi; Vladimir Litvak; Burkhard Maess; Robert Oostenveld; Lauri Parkkonen; Jason R Taylor; Virginie van Wassenhove; Michael Wibral; Jan-Mathijs Schoffelen
Journal:  Neuroimage       Date:  2012-10-06       Impact factor: 6.556

  9 in total

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