Dataset Information

Behavioral implications of temporal lobe epilepsy on social contingency.

ABSTRACT:

Objective

Temporal lobe epilepsy (TLE) is a chronic condition classically characterized by recurrent unprovoked episodes of involuntary violent motion and behavior whose degree and nature often overshadow the more subtle interictal neuropsychiatric symptoms. The purpose of this research was to investigate further the nature of cognitive impairment seen in social interaction within the population with TLE.

Methods

We recorded the dynamics of real-time sensorimotor interaction in 10 pairs of control participants and ten pairs of participants with drug-resistantTLE using a minimalistic human-computer interface paradigm known as "perceptual crossing." We investigated whether TLE is associated with impaired detection of social contingency, i.e.,reduced sensitivity to their teammate's responsiveness to their behavior.

Results

Our analysis reveals that using a simplified, computer-mediated, embodied form of social interaction, people with TLE demonstrated a statistically significant decrease in identification accuracy ratio (p-value is 0.00084,p < 0.05), a decrease in turn-taking (p-value is 0.03216,p < 0.05), decrease in player-object discrimination specificity (p-value is 0.00695,p < 0.05), and a decrease time spend in contact both in absolute terms (p-value is 0.00181, p < 0.05) and as a percentage of time after first contact (p-value is 0.0268, p < 0.05) when compared with age-gender-matched controls.

Discussion

We found that coregulated interactions differed significantly between subjects with drug-resistantTLE and age-gender-matched controls consistent with prior meta-analysis observations regarding social cognition impairment in TLE. This is the first study to demonstrate social contingency impairment through dyadic interaction in the population with TLE.

SUBMITTER: Rini JF

PROVIDER: S-EPMC7484312 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveTo identity phenotypes of self-reported symptoms of psychopathology and their correlates in patients with temporal lobe epilepsy (TLE).Method96 patients with TLE and 82 controls were administered the Symptom Checklist 90-Revised (SCL-90-R) to characterize emotional-behavioral status. The nine symptom scales of the SCL-90-R were analyzed by unsupervised machine learning techniques to identify latent TLE groups. Identified clusters were contrasted to controls to characterize their association with sociodemographic, clinical epilepsy, neuropsychological, psychiatric, and neuroimaging factors.ResultsTLE patients as a group exhibited significantly higher (abnormal) scores across all SCL-90-R scales compared to controls. However, cluster analysis identified three latent groups: (1) unimpaired with no scale elevations compared to controls (Cluster 1, 42% of TLE patients), (2) mild-to-moderate symptomatology characterized by significant elevations across several SCL-90-R scales compared to controls (Cluster 2, 35% of TLE patients), and (3) marked symptomatology with significant elevations across all scales compared to controls and the other TLE phenotype groups (Cluster 3, 23% of TLE patients). There were significant associations between cluster membership and demographic (education), clinical epilepsy (perceived seizure severity, bitemporal lobe seizure onset), and neuropsychological status (intelligence, memory, executive function), but with minimal structural neuroimaging correlates. Concurrent validity of the behavioral phenotype grouping was demonstrated through association with psychiatric (current and lifetime-to-date DSM IV Axis 1 disorders and current treatment) and quality-of-life variables.SignificanceSymptoms of psychopathology in patients with TLE are characterized by a series of discrete phenotypes with accompanying sociodemographic, cognitive, and clinical correlates. Similar to cognition in TLE, machine learning approaches suggest a developing taxonomy of the comorbidities of epilepsy.