Sleep Spindle Deficits Estimated Using Electrical Source Imaging Reveal Regional Thalamocortical Circuit Dysfunction and Predict Cognitive Deficits in Rolandic Epilepsy
Abstract number :
3.098
Submission category :
2. Translational Research / 2C. Biomarkers
Year :
2021
Submission ID :
1825733
Source :
www.aesnet.org
Presentation date :
12/9/2021 12:00:00 PM
Published date :
Nov 22, 2021, 06:50 AM
Authors :
Elizabeth Spencer, PhD - Carnegie Mellon University; Dhinakaran Chinappen, M.A. – Massachusetts General Hospital; Britt Emerton, Ph.D. – Massachusetts General Hospital; Amy Morgan, Ph.D. – Massachusetts General Hospital; Dara Manoach, Ph.D. – Massachusetts General Hospital; Uri Eden, Ph.D. – Boston University; Mark Kramer, Ph.D. – Boston University; Catherine Chu, M.D. – Massachusetts General Hospital
Rationale: Rolandic epilepsy (RE) is the most common form of epileptic encephalopathy, characterized by seizures and cognitive deficits in school-age children that spontaneously resolve by adolescence. The pathophysiology of this disease is unknown, but growing evidence suggests that transient disruption of thalamocortical circuits could cause both the stereotyped, focal, sleep-activated epileptiform spikes observed in the inferior Rolandic cortex, and a paucity of sleep spindles, physiological rhythms associated with sleep-dependent learning. We utilized electrical source imaging to study the distribution of spindle deficits in RE and the relationship with cognitive symptoms. In specific, we hypothesized that: 1) spindle rate would be decreased in the inferior Rolandic cortex; 2) spindle deficits would extend beyond the epileptic cortex; and 3) regional spindle deficits would better predict cognitive dysfunction than focal estimates.
Methods: We obtained high-resolution MRI, high-density EEG, and focused neuropsychological assessments in children with RE during active (n = 8, age 9-14.7 years, 3F) and resolved (n = 10, age 10.3-16.7 years, 1F) stages of disease and age-matched controls (n = 8, age 8.9-14.5 years, 5F). We computed spindle rates (spindles/min) using a validated automated spindle detector applied to the source activity in the inferior Rolandic cortex as well as each label in the Desikan-Killiany FreeSurfer cortical atlas during non-rapid eye movement sleep. The results were compared across groups and to measures of fine motor performance, speech-sound processing, attention, and IQ using generalized linear models and a bootstrap analysis of goodness-of-fit. Among detected spindles, we also compared spindle features (power, duration, coherence, bilateral synchrony) between groups.
Results: We found that spindle rate was reduced in the inferior Rolandic cortices in active RE (p = 0.007) but not resolved (p = 0.2) compared to controls. We found no difference in spindle features between groups except for decreased bilateral synchrony between spindles in the active group (p = 0.005) but not resolved (p = 0.1) compared to controls. Compared to controls, spindle rate was regionally disrupted beyond the inferior Rolandic cortices in the active group, involving prefrontal, insula, and posterior parietal regions (p < 0.009 for all; Figure 1). Regional spindle deficits positively correlated with cognitive function (p < 1e-4). Regional estimates were better than focal estimates from the inferior Rolandic cortices in predicting cognitive function across all domains tested (p = 0.02) and significantly improved estimates of motor function (p = 0.001; Figure 2).
Translational Research