Review
The Spatial Orienting paradigm: How to design and interpret spatial attention experiments

https://doi.org/10.1016/j.neubiorev.2014.01.002Get rights and content

Highlights

  • This paper is conceived as a guide to use the Spatial Orienting paradigm.

  • We describe main experimental manipulations and help the reader interpreting the results.

  • Adaptations of the paradigm to different methodologies and populations are provided.

Abstract

This paper is conceived as a guide that will describe the very well known Spatial Orienting paradigm, used to explore attentional processes in healthy individuals as well as in people suffering from psychiatric disorders and brain-damaged patients. The paradigm was developed in the late 1970s, and since then, it has been used in thousands of attentional studies. In this review, we attempt to describe, the paradigm for the naïf reader, and explain in detail when is it used, which variables are usually manipulated, how to interpret its results, and how can it be adapted to different populations and methodologies. The main goal of this review is to provide a practical guide to researchers who have never used the paradigm that will help them design their experiments, as a function of their theoretical and experimental needs. We also focus on how to adapt the paradigm to different technologies (such as event-related potentials, functional resonance imaging, or transcranial magnetic stimulation), and to different populations by presenting an example of its use in brain-damaged patients.

Section snippets

The Spatial Orienting paradigm

This guide on how to use the Spatial Orienting paradigm is intended to help the naïf reader in designing their tasks and interpreting their results. Of most importance, when designing an attentional orienting experiment, one of the first decisions to be taken is related to the type of orienting we are interested in (endogenous vs. exogenous), which will determine the cue type to be used. Depending on our interest on facilitation and/or Inhibition of Return (IOR; see below), we will have to

Types of orienting

In everyday life, attention can be oriented to locations in space in two ways: (1) top-down, “voluntarily”, and endogenously (according to our goals, intentions, or task demands), or (2) bottom-up, “involuntarily”, and exogenously (to salient or potentially relevant stimuli) (Jonides, 1981). These two types of orienting can be implemented in cue–target paradigms by manipulating cue type and cue validity.

Endogenous orienting is usually manipulated by using central symbolic cues that predict with

Typical results

Although the results observed when using the Spatial Orienting paradigm critically depend on many variables, as it will be described in detail below, we will firstly present the typical results observed with the most frequent manipulations used (see Fig. 2 and Table 1). When using spatially predictive central symbolic cues, reaction times (RTs) and/or accuracy are usually improved for cued as compared to uncued trials. This improvement of performance is known as “facilitation”. The effects of

Central cues

When manipulating endogenous orienting, arrow cues have been extensively used, assuming that they symbolically oriented attention to the location they were pointing at. This assumption was discarded when it was demonstrated that arrow cues orient attention to the location they are pointing at, even if they are not spatially predictive about the future location of the target (Bayliss et al., 2005, Dodd and Wilson, 2009, Hommel et al., 2001, Marotta et al., 2012, Ristic et al., 2002, Tipples, 2002

Eye movement control

It is always recommended to control gaze by using an eye tracker, both when overt and covert attention tasks are used. If eye movements are not controlled, any reported differences in performance between conditions could be accounted for by foveal processing of stimuli, which is faster and more precise than non-foveal, peripheral processing. Also, some attentional effects might depend on whether eye movements are monitored or not (Prinzmetal et al., 2009). Unfortunately, many researchers do not

Effect size and statistical power

Table 1 represents a meta-analysis of a subset of experiments from our lab. Data from this table can be used to perform power analyses and a priori sample size estimations, depending on key variables such as Cue Type, Cue Validity, SOA, and Task.

Table 1 demonstrates that for central cues (arrow cues, faces, and symmetrical stimuli), effect size is larger when cues are predictive than when they are not. Therefore, the estimated sample size is larger for central non-predictive than predictive

Comparing endogenous and exogenous orienting, a big dilemma

Some researchers are interested in comparing the effects of endogenous and exogenous attention on perceptual, decisional, or motor processes. Traditionally, this comparison has been made by using spatially predictive central symbolic cues for endogenous orienting, and spatially non-predictive peripheral cues for exogenous orienting. However, the differences between the consequences of the exogenous versus endogenous orienting of spatial attention observed in these studies could either be due

Patients: an example of adaptation of the paradigm for brain damaged patients suffering from neglect

In this section, we will describe an example of adaptation of the Spatial Orienting paradigm to patients with right fronto-parietal damage suffering from neglect. These patients’ attention is highly biased to right (ipsilesional) targets, which makes interesting the use of the Spatial Orienting paradigm to explore their attentional imbalance. Let's first envision the design of an experiment in which we would like to potentiate the observation of exogenous attentional facilitation. First of all,

Acknowledgments

Ana B. Chica was supported with a Ramón y Cajal fellowship from the Spanish Ministry of Education and Science. Elisa Martín-Arévalo was supported by a predoctoral grant (AP2008-02806) from the FPU program from the Spanish Ministry of Science and Education. Fabiano Botta was supported by a postdoctoral fellowship form the eraNET-NEURON BEYONDVIS project. Research was funded by research projects PSI2011-22416, and eraNET-NEURON BEYONDVIS, EUI2009-04082, to Juan Lupiáñez, and Ramón y Cajal

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