scholarly journals Modulation of alpha power reveals interaction between top-down and bottom-up effects during visual selective attention

2017 ◽  
Vol 17 (10) ◽  
pp. 668
Author(s):  
Lia Bonacci ◽  
Scott Bressler ◽  
Barbara Shinn-Cunningham
Keyword(s):  
Selective Attention ◽  
Visual Selective Attention ◽  
Alpha Power ◽  
Top Down ◽  
Bottom Up

Top-down and bottom-up fMRI BOLD signal changes in response to selective attention during mechanical pressure pain

2005 ◽  
Vol 6 (3) ◽  
pp. S6
Author(s):  
T. Papageorgiou ◽  
E. Jackson ◽  
K. Anderson ◽  
S. Mahankali ◽  
C. Cleeland
Keyword(s):  
Selective Attention ◽  
Bold Signal ◽  
Top Down ◽  
Mechanical Pressure ◽  
Bottom Up ◽  
Pressure Pain ◽  
Signal Changes

scholarly journals Top-down inhibition of irrelevant information indexed by alpha rhythms is disrupted in migraine

2021 ◽  
Author(s):  
Rémy Masson ◽  
Hesham A ElShafei ◽  
Geneviève Demarquay ◽  
Lesly Fornoni ◽  
Yohana Lévêque ◽  
...  
Keyword(s):  
Cognitive Processing ◽  
Gamma Activity ◽  
Auditory Target ◽  
Alpha Power ◽  
Top Down ◽  
Significant Group ◽  
Bottom Up ◽  
Power Increase ◽  
Visual Areas ◽  
Healthy Participants

There is growing evidence that migraine is associated with attentional abnormalities, both during and outside migraine attacks, which would impact the cognitive processing of sensory stimulation. However, these attention alterations are poorly characterized and their neurophysiological basis is still unclear. Nineteen migraineurs without aura and nineteen healthy participants were recruited to perform a task which used visually-cued auditory targets and distracting sounds to evaluate conjointly top-down and bottom-up attention mechanisms. Magnetoencephalography (MEG) signals were recorded. We investigated anticipatory alpha activity (power increase and decrease) and distractor-induced gamma activity as markers for top-down (inhibition and facilitation) and bottom-up attention, respectively. Compared to healthy participants, migraineurs presented a significantly less prominent alpha power increase in visual areas in anticipation of the auditory target, indexing a reduced inhibition of task-irrelevant visual areas. However, there was no significant group difference regarding the alpha power decrease in the relevant auditory cortices in anticipation of the target, nor regarding the distractor-induced gamma power increase in the ventral attention network. These results in the alpha band suggest that top-down inhibitory processes in the visual cortices are deficient in migraine but there is no clear evidence supporting a disruption of top-down facilitatory attentional processes. This relative inability to suppress irrelevant sensory information may be underlying the self-reported increased distractibility and contribute to sensory disturbances in migraine.

Age-Related Changes in Selective Attention in the Very Old: A Bottom-Up or Top-Down Problem? (IN4-2.005)

Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. IN4-2.005-IN4-2.005
Author(s):  
T. Zhuravleva ◽  
A. Haring ◽  
B. Alperin ◽  
P. Holcomb ◽  
D. Rentz ◽  
...  
Keyword(s):  
Selective Attention ◽  
Top Down ◽  
Bottom Up ◽  
Very Old ◽  
Age Related ◽  
Age Related Changes

scholarly journals Development of Frontal EEG Differences Between Eyes-Closed and Eyes-Open Resting Conditions in Children: Data From a Single-Channel Dry-Sensor Portable Device

2020 ◽  
pp. 155005942094664
Author(s):  
Stuart J. Johnstone ◽  
Han Jiang ◽  
Li Sun ◽  
Jeffrey M. Rogers ◽  
Joaquin Valderrama ◽  
...  
Keyword(s):  
Single Channel ◽  
Developmental Change ◽  
Alpha Power ◽  
Top Down ◽  
Bottom Up ◽  
Individual Level ◽  
Eyes Closed ◽  
Beta Power ◽  
Eyes Open ◽  
The Individual

Changes in EEG when moving from an eyes-closed to an eyes-open resting condition result from bottom-up sensory processing and have been referred to as activation. In children, activation is characterized by a global reduction in alpha, frontally present reductions for delta and theta, and a frontal increase for beta. The present study aimed to replicate frontal EEG activation effects using single-channel, dry-sensor EEG, and to extend current understanding by examining developmental change in children. Frontal EEG was recorded using a single-channel, dry-sensor EEG device while 182 children aged 7 to 12 years completed eyes-closed resting (EC), eyes-open resting (EO), and focus (FO) tasks. Results indicated that frontal delta, theta, and alpha power were reduced, and frontal beta power was increased, in the EO compared with the EC condition. Exploratory analysis of a form of top-down activation showed that frontal beta power was increased in the FO compared with to the EO condition, with no differences for other bands. The activation effects were robust at the individual level. The bottom-up activation effects reduced with age for frontal delta and theta, increased for frontal alpha, with no developmental change for top-down or bottom-up frontal beta activation. These findings contribute further to validation of the single-channel, dry-sensor, frontal EEG and provide support for use in a range of medical, therapeutic, and clinical domains.

Age-Related Changes in Selective Attention in the Very Old: A Bottom-Up or Top-Down Problem? (S44.003)

Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. S44.003-S44.003
Author(s):  
T. Zhuravleva ◽  
A. Haring ◽  
B. Alperin ◽  
P. Holcomb ◽  
D. Rentz ◽  
...  
Keyword(s):  
Selective Attention ◽  
Top Down ◽  
Bottom Up ◽  
Very Old ◽  
Age Related ◽  
Age Related Changes

Computational Model for Machine Vision Inspection Based on Vision Attention

2011 ◽  
Vol 383-390 ◽  
pp. 2398-2403
Author(s):  
Jin Fang Shi ◽  
Zhen Wei Su ◽  
Guo Hui Li
Keyword(s):  
Machine Vision ◽  
Computational Model ◽  
Vision System ◽  
Visual Selective Attention ◽  
Human Vision ◽  
Human Vision System ◽  
Top Down ◽  
Bottom Up ◽  
Vision Inspection ◽  
Machine Vision Inspection

Human vision system exploits this fact by visual selective attention mechanisms towards important and informative regions. A computational model of combination both bottom-up and top-down simulating human vision system for machine vision inspection is proposed. In this model, top-down knowledge-based information is highlighted to integrate into bottom-up stimulus-based process of vision attention. The model is tested on inspecting contaminants in cotton images. Experiment result shows that the proposed model is feasible and effective in visual inspection. And it is available and quasi-equivalent to human vision attention.

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