| Title |
Ambiguous emotion recognition in temporal lobe epilepsy: The role of expression intensity
|
|---|---|
| Published in |
Cognitive, Affective, & Behavioral Neuroscience, February 2013
|
| DOI | 10.3758/s13415-013-0153-y |
| Pubmed ID | |
| Authors |
Anna Sedda, Davide Rivolta, Pina Scarpa, Michael Burt, Elisa Frigerio, Gabriele Zanardi, Ada Piazzini, Katherine Turner, Maria Paola Canevini, Stefano Francione, Giorgio Lo Russo, Gabriella Bottini |
| Abstract |
The lateralization of emotion processing is currently debated and may be further explored by examining facial expression recognition (FER) impairments in temporal lobe epilepsy (TLE). Furthermore, there is also debate in the literature whether FER deficits in individuals with TLE are more pronounced in the right than in the left hemisphere. Individuals with TLE were tested with an FER task designed to be more sensitive than those classically used to shed light on this issue. A total of 25 right- and 32 left-TLE patients, candidates for surgery, along with controls, underwent an FER task composed of stimuli shown not only at full-blown intensities (100 %), but also morphed to lower-intensity display levels (35 %, 50 %, and 75 %). The results showed that, as compared to controls, right-TLE patients showed deficits in the recognition of all emotional categories. Furthermore, when considering valence, right-TLE patients were impaired only in negative emotion recognition, but no deficits for positive emotions were highlighted in left-TLE patients. Finally, only the right-TLE patients' impairment was found to be related to the age of epilepsy onset. Our work demonstrates that the FER deficits in TLE span multiple emotional categories and show manifestations dependent on the laterality of the epileptic focus. Taken together, our findings provide the strongest evidence for the right-hemisphere model, but they also partially support the valence model. We suggest that current models are not exhaustive at explaining emotional-processing cerebral control, and further that multistep models should be developed. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Italy | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 86 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Researcher | 15 | 17% |
| Student > Bachelor | 14 | 16% |
| Student > Master | 14 | 16% |
| Student > Postgraduate | 6 | 7% |
| Other | 11 | 13% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 33 | 38% |
| Neuroscience | 13 | 15% |
| Medicine and Dentistry | 10 | 11% |
| Agricultural and Biological Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 19 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2016.
All research outputs
#7,977,154
of 24,003,070 outputs
Outputs from Cognitive, Affective, & Behavioral Neuroscience
#346
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Outputs of similar age
#66,254
of 195,978 outputs
Outputs of similar age from Cognitive, Affective, & Behavioral Neuroscience
#4
of 13 outputs
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