Differences and Similarities for Spatial and Feature-Based Selective Attentional Orienting

Differences and Similarities for Spatial and Feature-Based Selective Attentional Orienting

Using selective attention, we prioritize behaviorally relevant information out of all surrounding stimulation. Attention can be oriented intentionally to spatial and/or non-spatial properties (feature-based attention). When comparing spatial and feature-based attention, previous studies identified a common fronto-parietal network, although some reported specific activation for spatial attention...

Differences and Similarities in Attentional Bias between Patients with Bipolar II Disorder and Borderline Personality Disorder

Background and purpose: The boundary between bipolar disorder and borderline personality disorder has always been a matter of debate. Despite the importance of this issue, only a few studies have directly compared these two groups. The main purpose of this study was to compare the cognitive profile of patients with bipolar disorder and borderline personality disorder in terms of attentional bia...

Attentional Orienting and Scene Semantics

Endogenous temporal and spatial orienting: Evidence for two distinct attentional mechanisms.

The requirement to orient attention in space and time usually occurs simultaneously. Previous reports were indecisive regarding possible interactions between temporal and spatial orienting. The present study examined whether temporal and spatial orienting can operate simultaneously and independently in the framework of a detection task. Participants completed three consecutive target detection ...

Spatial Neural Networks and their Functional Samples: Similarities and Differences

Models of neural networks have proven their utility in the development of learning algorithms in computer science and in the theoretical study of brain dynamics in computational neuroscience. We propose in this paper a spatial neural network model to analyze the important class of functional networks, which are commonly employed in computational studies of clinical brain imaging time series. We...