An fMRI investigation into the effect of preceding stimuli during visual oddball tasks

Fajkus, Jiřı́; Mikl, Michal; Shaw, Daniel Joel; Brázdil, Milan

doi:10.1016/j.jneumeth.2015.05.005

Cited by 5 publications

(1 citation statement)

References 25 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Destriuex atlas [62], 148 cortical regions were group into 14 macro ROIs. We predefined the 11 distinct ROIs reported to be implicated in the visual oddball paradigm based on the previously published functional imaging studies of visual oddball task [3,73-89]. The 11 predefined ROIs are listed in bottom of Fig 1.…”

Section: Methodsmentioning

confidence: 99%

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball task

Thee

Nisar

Yeap

et al. 2019

Preprint

View full text Add to dashboard Cite

30In this paper we have reconstructed electroencephalography (EEG) sources using weighted 31 Minimum Norm Estimator (wMNE) for visual oddball experiment to estimate brain functional 32 networks. Secondly we have evaluated the impact of time-frequency decomposition algorithms 33 and scout functions on brain functional networks estimation using phase-locked value (PLV). 34 Lastly, we compared the difference between target stimuli with response (TR) and non-target 35 with no response (NTNR) cases in terms of brain functional connectivity (FC). We acquired 36 the EEG data from 20 healthy participants using 129 channels EEG sensor array for visual 37 oddball experiment. Three scout functions: i) MEAN, ii) MAX and iii) PCA were used to 38 extract the regional time series signals. We transformed the regional time series signals into 39 complex form using two methods: i) Wavelet Transform (WT) and ii) Hilbert Transform (HT). 40The instantaneous phases were extracted from the complex form of the regional time series 41 signals. The FC was estimated using PLV. The joint capacity of the time-frequency 42 decomposition algorithms/scout functions applied to reconstructed EEG sources was evaluated 43 using two criteria: i) localization index (LI) and ii) R. The difference in FC between TR and 44 NTNR cases was evaluated using these two criteria. Our results show that the WT has higher 45 impact on LI values and it is better than HT in terms of consistency of the results as the standard 46 deviation (SD) of WT is lower. In addition, WT/PCA pair is better than other pairs in terms of 47 consistency as the SD of the pair is lower. This pair is able to estimate the connectivity within 48 parietal region which corresponds to P300 response; although WT/MEAN is also able to do 49 that, However, WT/PCA has lower SD than WT/MEAN. Lastly, the differences in connectivity 50 between TR and NTNR cases over parietal, central, right temporal and limbic regions which 51 correspond to target detection, P300 response and motor response were observed. Therefore, 52 we conclude that the output of the connectivity estimation might be affected by time-frequency 53 decomposition algorithms/scout functions pairs. Among the pairs, WT/PCA yields best results 54 for the visual oddball task. Moreover, TR and NTNR cases are different in terms of estimated 55 functional networks. 56 57 and non-linear methods are widely used for FC estimations in the sensor space [50-52] as well 102 as source space [53-56]. 103 Based on the literature review it is observed that the estimated FC depends on the 104 algorithms to solve the EEG ill-posed inverse problem and the methods for connectivity 105 estimation. Hassan et al. reported that the use of wMNE in conjunction with the phase-locking 106 value (PLV) provides better results as compared to the other combinations in the sensor space 107 [26,57]. This combination has been adapted for FC analysis in the source space [25,58-60]. 108 In this research, we planned to utilized wMNE to reconstruct the dipolar so...

show abstract

Section: Methodsmentioning

confidence: 99%

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball task

Thee

Nisar

Yeap

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

Graph Theoretical Analysis of Functional Brain Networks in Healthy Subjects: Visual Oddball Paradigm

2018

View full text Add to dashboard Cite

Fixating targets in visual search: The role of dorsal and ventral attention networks in the processing of relevance and rarity

Ischebeck,

Kreilinger,

Peiris Miller

et al. 2024

Imaging Neuroscience

View full text Add to dashboard Cite

The dorsal attention network, often observed to be activated in serial visual search tasks, has been associated with goal-directed attention, responsible for the processing of task relevance. In serial visual search, the moment of target detection constitutes not only a task-relevant event, but also a rare event. In the present fMRI experiment, we disentangled task relevance from item rarity using a fixation-based analysis approach. We used a multiple target search task and participants had to report the number of targets among distractors in the display. We had also added rare distractors to the displays. We found that rare events (targets and rare distractors) activated the dorsal attention network more strongly than common distractors. More importantly, we observed that the left IPS and the left insula, belonging to the dorsal and ventral attention system, respectively, were more strongly activated for targets compared to rare distractors. Using multi-voxel pattern analysis, we found that activation in the TPJ, bilaterally, an area also associated with the ventral attention system distinguished between target and rare distractor fixations. These results point to an expanded role of the TPJ that seems to process post-perceptual information which is linked to task relevance.

show abstract

An fMRI investigation into the effect of preceding stimuli during visual oddball tasks

Cited by 5 publications

References 25 publications

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball task

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball task

Graph Theoretical Analysis of Functional Brain Networks in Healthy Subjects: Visual Oddball Paradigm

Fixating targets in visual search: The role of dorsal and ventral attention networks in the processing of relevance and rarity

Contact Info

Product

Resources

About