scholarly journals Erratum to: Functional Brain Organization of Global and Local Visual Perception: An Event-Related Potentials Study

2011 ◽  
Vol 37 (2) ◽  
pp. 253-269 ◽  
Author(s):  
R. I. Machinskaya ◽  
E. V. Krupskaya ◽  
A. V. Kurgansky
Keyword(s):  
Visual Perception ◽  
Event Related Potentials ◽  
Brain Organization ◽  
Functional Brain ◽  
Related Potentials ◽  
Functional Brain Organization ◽  
Global And Local

Visual perception of different wood surfaces: an event-related potentials study

2021 ◽  
Vol 78 (2) ◽  
Author(s):  
Qian Wan ◽  
Xiaohe Li ◽  
Yachi Zhang ◽  
Shasha Song ◽  
Qing Ke
Keyword(s):  
Visual Perception ◽  
Event Related Potentials ◽  
Related Potentials ◽  
Wood Surfaces

Electrophysiological Correlates of Similarity-based Interference during Detection of Visual Forms

2006 ◽  
Vol 18 (6) ◽  
pp. 880-888 ◽  
Author(s):  
Markus Conci ◽  
Klaus Gramann ◽  
Hermann J. Müller ◽  
Mark A. Elliott
Keyword(s):  
Target Selection ◽  
Event Related Potentials ◽  
Form Perception ◽  
Psychological Review ◽  
Physiological Basis ◽  
Related Potentials ◽  
Kanizsa Figure ◽  
Global And Local ◽  
Selection Of ◽  
Form Information

Illusory figure completion demonstrates the ability of the visual system to integrate information across gaps. Mechanisms that underlie figural emergence support the interpolation of contours and the filling-in of form information [Grossberg, S., & Mingolla, E. Neural dynamics of form perception: Boundary completion, illusory figures and neon colour spreading. Psychological Review, 92, 173–211, 1985]. Although both processes contribute to figure formation, visual search for an illusory target configuration has been shown to be susceptible to interfering form, but not contour, information [Conci, M., Müller, H. J., & Elliott, M. A. The contrasting impact of global and local object attributes on Kanizsa figure detection. Submitted]. Here, the physiological basis of form interference was investigated by recording event-related potentials elicited from contour- and surface-based distracter interactions with detection of a target Kanizsa figure. The results replicated the finding of form interference and revealed selection of the target and successful suppression of the irrelevant distracter to be reflected by amplitude differences in the N2pc component (240–340 msec). In conclusion, the observed component variations reflect processes of target selection on the basis of integrated form information resulting from figural completion processes.

Neuroplasticity in Music Learning

2018 ◽  
pp. 545-563
Author(s):  
Vesa Putkinen ◽  
Mari Tervaniemi
Keyword(s):  
Speech Processing ◽  
Cognitive Functions ◽  
Brain Function ◽  
Musical Training ◽  
Event Related Potentials ◽  
Training Transfer ◽  
Neural Correlates ◽  
Music Learning ◽  
Functional Brain ◽  
Related Potentials

Studies conducted during the last three decades have identified numerous differences between musicians and non-musicians in neural correlates of sensory, motor, and higher-order cognitive functions. Research employing event-related potentials/fields has been particularly important in this framework. This chapter reviews the evidence that has emerged from these studies with emphasis on longitudinal studies comparing functional brain development in children taking music lessons and those engaged in non-musical activities. The literature provides empirical and theoretical grounds for concluding that musical training enhances sound encoding skills that are relevant for both music and speech processing. The question whether the benefits of musical training transfer to more distantly related cognitive functions remains controversial, however. Finally, it appears likely that training-induced plasticity alone does not account for the differences in brain function between musicians and non-musicians and, conversely, that predisposing factors also play a role.

Neurocognitive Mechanisms for Detecting Early Phase of Depressive Disorder

2019 ◽  
pp. 165-198
Author(s):  
Shashikanta Tarai
Keyword(s):  
Event Related Potentials ◽  
Anterior Cingulate ◽  
P300 Amplitude ◽  
Oddball Paradigm ◽  
Auditory Oddball ◽  
Parietal Lobes ◽  
Related Potentials ◽  
Electrophysiological Findings ◽  
Global And Local ◽  
Stroop Tasks

This chapter discusses neurocognitive mechanisms in terms of latency and amplitudes of EEG signals in depression that are presented in the form of event-related potentials (ERPs). Reviewing the available literature on depression, this chapter classifies early P100, ERN, N100, N170, P200, N200, and late P300 ERP components in frontal, mid-frontal, temporal, and parietal lobes. Using auditory oddball paradigm, most of the studies testing depressive patients have found robust P300 amplitude reduction. Proposing EEG methods and summarizing behavioral, neuroanatomical, and electrophysiological findings, this chapter discusses how the different tasks, paradigms, and stimuli contribute to the cohesiveness of neural signatures and psychobiological markers for identifying the patients with depression. Existing research gaps are directed to conduct ERP studies following go/no-go, flanker interference, and Stroop tasks on global and local attentional stimuli associated with happy and sad emotions to examine anterior cingulate cortex (ACC) dysfunction in depression.

Source Localization of Subtopographic Brain Maps for Event Related Potentials (ERP)

2008 ◽  
pp. 1247-1252
Author(s):  
Adil Deniz Duru ◽  
Ali Bayram ◽  
Tamer Demiralp ◽  
Ahmet Ademoglu
Keyword(s):  
Source Localization ◽  
Temporal Frequency ◽  
Event Related Potentials ◽  
Functional Brain Imaging ◽  
Frequency Content ◽  
Brain Potentials ◽  
Functional Brain ◽  
Brain Responses ◽  
Related Potentials ◽  
The Brain

Event-related potentials (ERP) are transient brain responses to cognitive stimuli, and they consist of several stationary events whose temporal frequency content can be characterized in terms of oscillations or rhythms. Precise localization of electrical events in the brain, based on the ERP data recorded from the scalp, has been one of the main challenges of functional brain imaging. Several currentDensity estimation techniques for identifying the electrical sources generating the brain potentials are developed for the so-called neuroelectromagnetic inverse problem in the last three decades (Baillet, Mosher, & Leahy, 2001; Koles, 1998; Michela, Murraya, Lantza, Gonzaleza, Spinellib, & Grave de Peraltaa, 2004; Scherg & von Cramon, 1986).

scholarly journals Sex Classification by Resting State Brain Connectivity

2019 ◽  
Vol 30 (2) ◽  
pp. 824-835 ◽  
Author(s):  
Susanne Weis ◽  
Kaustubh R Patil ◽  
Felix Hoffstaedter ◽  
Alessandra Nostro ◽  
B T Thomas Yeo ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Connectivity ◽  
Brain Regions ◽  
Brain Organization ◽  
Functional Brain ◽  
Clear Cut ◽  
Human Connectome Project ◽  
Machine Learning Approach ◽  
Imaging Research ◽  
Functional Brain Organization

Abstract A large amount of brain imaging research has focused on group studies delineating differences between males and females with respect to both cognitive performance as well as structural and functional brain organization. To supplement existing findings, the present study employed a machine learning approach to assess how accurately participants’ sex can be classified based on spatially specific resting state (RS) brain connectivity, using 2 samples from the Human Connectome Project (n1 = 434, n2 = 310) and 1 fully independent sample from the 1000BRAINS study (n = 941). The classifier, which was trained on 1 sample and tested on the other 2, was able to reliably classify sex, both within sample and across independent samples, differing both with respect to imaging parameters and sample characteristics. Brain regions displaying highest sex classification accuracies were mainly located along the cingulate cortex, medial and lateral frontal cortex, temporoparietal regions, insula, and precuneus. These areas were stable across samples and match well with previously described sex differences in functional brain organization. While our data show a clear link between sex and regionally specific brain connectivity, they do not support a clear-cut dimorphism in functional brain organization that is driven by sex alone.

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