Can illusory deviant stimuli be used as attentional distractors to record vMMN in a passive three stimulus oddball paradigm?

A passive three stimulus oddball paradigm was used to investigate Visual Mismatch Negativity (vMMN) a component of the Event Related Potential (ERP) believed to represent a central pre-attentive change mechanism. Responses to a change in orientation were recorded to monochrome stimuli presented to subjects on a computer screen. One of the infrequent stimuli formed an illusory figure (Kanizsa Square) aimed to capture spatial attention in the absence of an active task. Nineteen electrodes (10-20 system) were used to record the electroencephalogram in fourteen subjects (ten females) mean age 34.5 years. ERPs to all stimuli consisted of a positive negative positive complex recorded maximally over lateral occipital areas. The negative component was greater for deviant and illusory deviant compared to standard stimuli in a time window of 170-190 ms. A P3a component over frontal/central electrodes to the illusory deviant but not to the deviant stimulus suggests the illusory figure was able to capture attention and orientate subjects to the recording. Subtraction waveforms revealed visual discrimination responses at occipital electrodes, which may represent vMMN. In a control study with 13 subjects (11 females; mean age 29.23 years), using an embedded active attention task, we confirmed the existence of an earlier (150-170 ms) and attenuated vMMN. Recordings from an intracranial case study confirmed separation of N1 and discrimination components to posterior and anterior occipital areas, respectively. We conclude that although the illusory figure captured spatial attention in its own right it did not draw sufficient attentional resources from the standard-deviant comparison as revealed when using a concurrent active task.

Applying gaze-contingent training within community settings to infants from diverse SES backgrounds

Even in infancy children from low-SES backgrounds differ in frontal cortex functioning and, by the start of preschool, they frequently show poor performance on executive functions including attention control. These differences may causally mediate later difficulties in academic learning. Here, we present a study to assess the feasibility of using computerized paradigms to train attention control in infants, delivered weekly over five sessions in early intervention centres for low-SES families. Thirty-three 12-month-old infants were recruited, of whom 23 completed the training. Our results showed the feasibility of repeat-visit cognitive training within community settings. Training-related improvements were found, relative to active controls, on tasks assessing visual sustained attention, saccadic reaction time, and rule learning, whereas trend improvements were found on assessments of short-term memory. No significant improvements were found in task switching. These results warrant further investigation into the potential of this method for targeting ‘at-risk’ infants in community settings.

Network mechanisms of intentional learning

The ability to learn new tasks rapidly is a prominent characteristic of human behaviour. This ability relies on flex- ible cognitive systems that adapt in order to encode temporary programs for processing non-automated tasks. Previous functional imaging studies have revealed distinct roles for the lateral frontal cortices (LFCs) and the ven- tral striatum in intentional learning processes. However, the human LFCs are complex; they house multiple dis- tinct sub-regions, each of which co-activates with a different functional network. It remains unclear how these LFC networks differ in their functions and how they coordinate with each other, and the ventral striatum, to support intentional learning. Here, we apply a suite of fMRI connectivity methods to determine how LFC networks activate and interact at different stages of two novel tasks, in which arbitrary stimulus-response rules are learnt either from explicit instruction or by trial-and-error. We report that the networks activate en masse and in synchrony when novel rules are being learnt from instruction. However, these networks are not homogeneous in their functions; instead, the directed connectivities between them vary asymmetrically across the learning timecourse and they disengage from the task sequentially along a rostro-caudal axis. Furthermore, when negative feedback indicates the need to switch to alternative stimulus–response rules, there is additional input to the LFC networks from the ventral striatum. These results support the hypotheses that LFC networks interact as a hierarchical system during intentional learning and that signals from the ventral striatum have a driving influence on this system when the internal program for processing the task is updated.