Distributed BOLD-response in association cortex vector state space predicts reaction time during selective attention

Musso, Francesco; Konrad, Andreas; Vučurević, Goran; Schäffner, Cornelius; Friedrich, Britta; Frech, Peter; Stoeter, P.; Winterer, Georg

doi:10.1016/j.neuroimage.2005.07.059

Cited by 19 publications

(18 citation statements)

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“…In this context, we reported a negative correlation of RT in the oddball task and the number of independently activated components in temporoparietal and medial prefrontal cortices, which may indicate that a high level of cortical activation complexity in cortical vector state space predicts particularly efficient information processing during selective-attention-requiring tasks [16] . Referring to the current study, higher WM integrity in the fiber tracts connecting these cortical regions (SLF, IFO) may contribute to higher levels of cortical activation complexity previously described by our group [16] . Recently, we demonstrated an impact of an ErbB4 schizophrenia risk genotype on RT and on left frontotemporal structural connectivity [51] .…”

Section: Discussionmentioning

confidence: 71%

“…RT was measured in the MR scanner right before image acquisition while subjects were performing a visual oddball task [16] . Accordingly, 160 visual stimuli (40 targets, 120 non-targets, checkerboard reversal) were presented by means of a back-projection system onto a translucent screen using 'Presentation' , a software package (Neurobehavioral Systems, USA).…”

Section: Experimental Conditionsmentioning

confidence: 99%

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Correlation of Brain White Matter Diffusion Anisotropy and Mean Diffusivity with Reaction Time in an Oddball Task

Konrad¹,

Vučurević

Musso

et al. 2009

Neuropsychobiology

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Background: Reaction time (RT) is a frequently used measure of information processing speed, but the underlying physiological and anatomical conditions are not yet fully understood. A correlation between measures of white matter (WM) ultrastructural properties and RT is expected – particularly for those WM tracts that are involved in the attentional system of the brain. Methods: Diffusion tensor imaging data were acquired in 43 unrelated healthy subjects (age: 22.7 ± 1.8 years), and RT was measured during an attention-requiring visual oddball task in the same scanning session. Voxel-by-voxel and region of interest analyses were performed for the large association tracts. A linear regression model was used to correlate fractional anisotropy (FA) and mean diffusivity (MD) values with mean RT. Results: Our analyses revealed significant positive correlations between RT and MD in several WM association tracts, predominantly in the right hemisphere. To a lesser extent, significant negative correlations were found between RT and FA in right temporal WM. Conclusion: These findings suggest that subcortical ultrastructural properties of the dorsal and ventral visual stream are relevant with regard to information processing speed. Furthermore, MD appears to be more sensitive than FA in detecting functionally relevant ultrastructural variations in WM tracts.

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Section: Discussionmentioning

confidence: 71%

Section: Experimental Conditionsmentioning

confidence: 99%

Correlation of Brain White Matter Diffusion Anisotropy and Mean Diffusivity with Reaction Time in an Oddball Task

Konrad¹,

Vučurević

Musso

et al. 2009

Neuropsychobiology

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“…For the investigation of attentional network activity, we conducted an event-related fMRI study during a selective and sustained attention-requiring visual oddball task. With this paradigm, and also with similar task conditions, we have previously demonstrated that the level of activity (BOLDresponse) in the medial prefrontal cortex is inversely related to the reaction time of a subject (Musso et al 2006;Winterer et al 2002Winterer et al , 2006a.…”

Section: Introductionmentioning

confidence: 91%

“…Subjects were required to perform a visual oddball task, which was designed to measure the attentional network brain response of a subject (Musso et al 2006). We employed an Bevent-related^fMRI design with presentation of 160 visual stimuli (40 targets, 120 nontargets, checkerboard reversal) by means of a back-projection system onto a translucent screen using the BPresentation^software package (Neurobehavioral Systems\).…”

Section: Behavioral Taskmentioning

confidence: 99%

Smoking impacts on prefrontal attentional network function in young adult brains

et al. 2006

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“…In fact, a study by Musso, et al (2006) found that increased cortical activation activity in the occipital and frontal lobes correlated with better reaction times in a selective attention oddball paradigm task. It is widely accepted that visual images in the foveal field and object identification are further processed in the ventral stream of the visual association cortex.…”

Section: Test 4: Pitch-roll Capturementioning

confidence: 99%

Towards Adaptive Automation: A Neuroegronomic Approach to Measuring Workload During a Command and Control Task

Marek¹,

Karwowski²,

Rice³

2010

Advances in Understanding Human Performance

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A Predictive Model of Cognitive Performance under Acceleration StressExtreme acceleration maneuvers encountered in modern agile fighter aircraft can wreak havoc on human physiology thereby significantly influencing cognitive task performance. Increased acceleration causes a shift in local arterial blood pressure and profusion causing declines in regional cerebral oxygen saturation. As oxygen content continues to decline, activity of high order cortical tissue reduces to ensure sufficient metabolic resources are available for critical life-sustaining autonomic functions.Consequently, cognitive abilities reliant on these affected areas suffer significant performance degradations.This goal of this effort was to develop and validate a model capable of predicting human cognitive performance under acceleration stress. An Air Force program entitled, "Human Information Processing in Dynamic Environments (HIPDE)" evaluated cognitive performance across twelve tasks under various levels of acceleration stress.Data sets from this program were leveraged for model development and validation.Development began with creation of a proportional control cardiovascular model that produced predictions of several hemodynamic parameters including eye-level blood pressure. The relationship between eye-level blood pressure and regional cerebral oxygen saturation (rSO 2 ) was defined and validated with objective data from two different HIPDE experiments. An algorithm was derived to relate changes in rSO 2 within specific brain structures to performance on cognitive tasks that require engagement of iv different brain areas. Data from two acceleration profiles (3 and 7 G z ) in the Motion Inference experiment were used in algorithm development while the data from the remaining two profiles (5 and 7 G z SACM) verified model predictions. Data from the "precision timing" experiment were then used to validate the model predicting cognitive performance on the precision timing task as a function of G z profile. Agreement between the measured and predicted values were defined as a correlation coefficient close to 1, yet complex factor in overall system design. Moreover, many find it convenient to develop the mechanical system separately from the HO and then rectify the interface between the two as the system is being prepared for production. One of the central issues contributing to this ill-advised strategy is the inability of the designer to easily change the inherent characteristics of the human entity. Should a material used in the "skin" of an aircraft react inappropriately to extreme temperature changes, the material can be replaced with an alternative material with properties that allow it to remain inert and invariable with respect to temperature. However, the human element cannot be replaced with a stronger, faster or lighter component. The HO performance characteristics can only be augmented to a limited extent with modern technology, training, and procedures.However, even with the assistance of such technology aids, the HO often reac...

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Distributed BOLD-response in association cortex vector state space predicts reaction time during selective attention

Cited by 19 publications

References 44 publications

Correlation of Brain White Matter Diffusion Anisotropy and Mean Diffusivity with Reaction Time in an Oddball Task

Correlation of Brain White Matter Diffusion Anisotropy and Mean Diffusivity with Reaction Time in an Oddball Task

Smoking impacts on prefrontal attentional network function in young adult brains

Towards Adaptive Automation: A Neuroegronomic Approach to Measuring Workload During a Command and Control Task

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