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Review
. 2015 Oct;16(10):606-19.
doi: 10.1038/nrn4025.

The attentive brain: insights from developmental cognitive neuroscience

Affiliations
Review

The attentive brain: insights from developmental cognitive neuroscience

Dima Amso et al. Nat Rev Neurosci. 2015 Oct.

Abstract

Visual attention functions as a filter to select environmental information for learning and memory, making it the first step in the eventual cascade of thought and action systems. Here, we review studies of typical and atypical visual attention development and explain how they offer insights into the mechanisms of adult visual attention. We detail interactions between visual processing and visual attention, as well as the contribution of visual attention to memory. Finally, we discuss genetic mechanisms underlying attention disorders and how attention may be modified by training.

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Figures

Figure 1
Figure 1. Primate dorsal and ventral visual pathways and possible sites of disruption
Disruption to the local architecture and organization of specific visual areas may have effects on circuit development. This figure shows a simplified overview of feedforward and feedback connectivity between visual areas and more-rostral cortical areas, including parts of the parietal, frontal and temporal cortices involved in visual attention processes. a | Over the course of development and hierarchical cortical organization, disruption to the local organization of motion processing via the medial temporal area (MT; shown in green) may result in disrupted feedforward- and feedback-loop architecture integrity both in executive attention, through weaker connections to the prefrontal cortex (PFC) and frontal eye fields (FEF), and in regions involved in visuo-spatial attention orienting, through the parietal cortex (which consists of the anterior intraparietal area (AIP) and the lateral intraparietal area (LIP)). b | Similarly, over the course of development, disruption at the level of visual area 4 (V4; shown in green) could result in weaker long-range connectivity through the ventral visual pathway, disrupting the hierarchical feedforward and feedback organization of executive attention processes through the PFC and disrupting object-based visual attention through the inferior temporal area (IT). LGN, lateral geniculate nucleus; PMd, dorsal premotor area; TEO, tectum opticum; V1, primary visual cortex. V2, visual area 2; V3, visual area 3. Figure adapted from chapter 25 in Principles of Neural Science 5th edition (eds Kandel, E. R., Schwartz, J., Jessel, T, Siegelbaum, S. A. & Hudspeth, A. J.), Gilbert, C. D., copyright notice in the name of McGraw-Hill Education.
Figure 2
Figure 2. Visual attention correlates with working memory capacity
Electrophysiological and magnetoencephalographic studies provide evidence that variation in the neural markers of attentional deployment correlate with individual differences in memory capacity. a | Electrophysiological markers of visuo-spatial attentional orienting in preparation for encoding information into memory distinguish 10-year-old children with higher or lower working memory capacity. The early directing attention negativity (EDAN) is an event-related potential locked to the onset of spatial cues that direct attention, and it is characterized by greater negativity at posterior scalp electrodes that are contralateral) than at posterior scalp electrodes that are ipsilateral to the direction of the attention-orienting cue. EDAN is thought to indicate cue-processing. Another event-related potential, anterior directing attention negativity (ADAN), is also characterized by greater negativity at scalp electrodes contralateral to cue direction, but the electrodes used for this analysis are more anterior than those used for EDAN. ADAN is associated with deployment of attentional control. The waveforms (left-hand and central panels) represent the average time course of these differences for children with high working memory capacity (who do show EDAN and ADAN); and children with low working memory capacity (who do not show EDAN and ADAN). The area marked with a dashed box highlights when the waveforms differ for contralateral and ipsilateral sites between children with low and high working memory capacity. The scatterplots (right-hand panels) show significant correlations between the magnitudes of EDAN and ADAN and the benefits of cues for memory on this task. b | Magnetoencephalographic data suggest that the preparatory oscillations of a right frontoparietal network before encoding items into memory predict the accuracy of later memory recall and the activity of visual cortices when the memoranda are first encoded. Adults and 10-year-old children were asked to encode either two (low load) or four (high load) simultaneously presented items into memory and then to recall whether a probe item was among the memoranda. The children’s spatial maps of right-frontoparietal network oscillations are shown on the left and the time course of the effect of these oscillations on memory accuracy are shown in the centre. Represented on the x-axis is time, with 0 indicating the time point at which the to-be-encoded items were presented. The y-axis represents beta weights. Pre-stimulus activity in this frontoparietal network in preparation of encoding successfully discriminates trials in which participants remember items accurately (purple line). By contrast, this frontoparietal network is not differentially engaged by memory load (an index of task difficulty; grey line). The panel on the right represents the area in the children’s visual cortex whose activity after the onset of the to-be-encoded stimuli was significantly predicted by right frontoparietal network activity, illustrating the coupling that occurs between this network and the visual cortex. Part a is reprinted with permission from REF. , Massachusetts Institute of Technology. Part b is reprinted from REF .

References

    1. Fan J, McCandliss BD, Sommer T, Raz A, Posner MI. Testing the efficiency and independence of attentional networks. J. Cogn. Neurosci. 2002;14:340–347. - PubMed
    1. Petersen SE, Posner MI. The attention system of the human brain: 20 years after. Annu. Rev. Neurosci. 2012;35:73–89. - PMC - PubMed
    1. Posner MI, Petersen SE. The attention system of the human brain. Annu. Rev. Neurosci. 1990;13:25–42. - PubMed
    1. Desimone R, Duncan J. Neural mechanisms of selective visual-attention. Annu. Rev. Neurosci. 1995;18:193–222. - PubMed
    1. Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 2001;24:167–202. - PubMed

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