| Literature DB >> 22371700 |
John Christie1, Jay P Ginsberg, John Steedman, Julius Fridriksson, Leonardo Bonilha, Christopher Rorden.
Abstract
Previous studies using hierarchical figures (where a large global shape is composed of a series of smaller local shapes) suggest that performance is better for local features presented in the right relative to left visual field, whereas the opposite pattern is observed for global features. However, these previous studies have focused on effects between hemifields. Recent data from patients with neurological damage suggest that local deficits can be allocentric (e.g., following left hemisphere injury, individuals are relatively slow to detect features on the right side of an object, regardless of visual field). Therefore, we decided to extend previous global versus local research by also observing local performance within hemifields. Specifically, on each trial we presented two hierarchical figures (one in each hemifield), but crucially the left and right side of each item were composed of different local features. In this task, the participant simply reports if a circle is present, regardless of location or whether this is a local or global feature. We observed that both neurologically healthy individuals, as well as an individual with brain injury, were relatively better detecting local information on the right side of objects, regardless of spatial location, while both showed better performance for global stimuli in the left visual field. This work is consistent with recent work in patients with neurological damage, and provides a new paradigm for exploring hemispheric specialization.Entities:
Keywords: spatial selection; visual attention
Year: 2012 PMID: 22371700 PMCID: PMC3284146 DOI: 10.3389/fnhum.2012.00028
Source DB: PubMed Journal: Front Hum Neurosci ISSN: 1662-5161 Impact factor: 3.169
Figure 2Performance for healthy individuals performing this task. Percent accuracy for targets appearing at different locations (left vs. right) and different scales (local vs. global). The task was to press a green button whenever a circle was present, regardless of whether this was a local feature (four leftmost columns) or a global feature (two rightmost columns), and to press a red button if there was no circle present (not shown). Bars show performance for different target locations, with example displays shown beneath each column (with error bars showing normalized standard error, as suggested by Loftus and Masson, 1994). Note that local features are detected more accurately when they appear on the right relative to more leftward locations. This appears to occur both within objects (allocentric) and between visual fields (egocentric). Global form shows the opposite pattern with global targets detected more accurately on the left than the right visual field.
Figure 1Axial MRI slices from the patient with neurological damage are shown in neurological convention (with the left side of each slice corresponding to the left side of the brain). Both the T1 (top row) and T2 (bottom row) images have been normalized to MNI stereotaxic space, with slices corresponding to Z = 8, 16, 24, 32, 40, 50, 60 mm.
Figure 3Performance for a single patient with neurological damage, using the same layout as Figure Note that this individual exhibits the same pattern of allocentric and global performance as healthy adults, yet a reversed pattern for egocentric local items (finding local items more accurately if they appear in the left [ipsilesional] versus right [contralesional] visual field).
The pattern of performance observed for 12 neurologically healthy individuals, reporting the response time (RT, in ms derived from mean log RT), percent accuracy (% Correct) and logit accuracy.
| RT | 1082 | 1035 | 997 | 1046 | 1049 | 1065 | 1259 |
| % Correct | 93.3 | 96.7 | 97.1 | 97.9 | 91.6 | 86.4 | 98.5 |
| Logit | 2.63 | 3.38 | 3.53 | 3.82 | 2.38 | 1.85 | 4.21 |
Logit score is presented because multi-level logistic regression was used in analysis and the logit score better represents the effects to which the analysis was sensitive. Columns indicate each of the six possible target locations shown in Figure 2, as well as performance on trials where the target was absent.
Performance for a single patient with neurological damage, revealing the Response Time (RT, in ms derived from mean log RT), percent accuracy and logit accuracy.
| RT | 2450 | 2083 | 3311 | 2486 | 3423 | 3604 | 4012 |
| % Correct | 89.7 | 100 | 87.1 | 94.7 | 92.3 | 86.8 | 97.0 |
| Logit | 2.17 | Inf | 1.92 | 2.89 | 2.48 | 1.89 | 3.46 |
Columns indicate each of the six possible target locations shown in Figure 2, as well as performance on trials where the target was absent.