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Attention, (Fan and Posner, 2004)
Described attention as an “organ system”
Argued that the system had differentiated structures adapted for specific functions which are grouped with other structures into a system
Features of attention
Involves specialist networks that maintain alertness and orient resources to relevant sensor events
Can be fractionated into subsystems with specific cognitive functions and anatomical substrates
What are the 3 different ways to respond to attention stimuli
Alerting
Orienting
Executive control (conflict)
How does imaging of subsystems differentiate (signals)
Source signals, associated with activation of attention eg orienting
Site signals, reflect the influence of sources on processing eg signal enhancement
Function of source and site signals
Source, control signals that co-ordinate activity in relevant sensory cortex
Site, enhancement of relevant response in sensory cortex
How does alerting work
Cues in the environment may signal when but not where a relevant stimulus occurs
Preparatory change in the individuals ability to receive, evaluate and respond to upcoming stimulus
How does orienting work
A physical distinction between exogenous and endogenous cues
Neuroimaging studies can compare activation in response to these exo/endogenous cues
Temporal distinction in enhancement and inhibition of stimulus at cued locations
Functional distinction in the component processes for valid and invalid cues
Invalid cues require disengagement with cued locations to resample scenes
Endogenous and exogenous cues in relation to orientation
Endogenous, associated with activation in FEF, interparietal sulcus and superior parietal lobe
Cortical attention is also associated with endogenous orienting of attention towards spatial locations and global features
Exogenous, associated with activation of ventral prefrontal cortex and temporal parietal junction
Testing attention
Theoretical models and empirical studies explain the brain mechanisms associated with prioritisation of relevant over irrelevant information
Models also provide a way to quantify individual variability in attentional control against normative data
Useful for quantifying change in specific populations eg older adults or clinically diagnosed groups