Aberrant age-related alterations in spontaneous cortical activity in participants with cerebral palsy

Abstract

IntroductionCerebral Palsy (CP) is the most common neurodevelopmental motor disability, resulting in life-long sensory, perception and motor impairments. Moreover, these impairments appear to drastically worsen as the population with CP transitions from adolescents to adulthood, although the underlying neurophysiological mechanisms remain poorly understood.MethodsWe began to address this knowledge gap by utilizing magnetoencephalographic (MEG) brain imaging to study how the amplitude of spontaneous cortical activity (i.e., resting state) is altered during this transition period in a cohort of 38 individuals with spastic diplegic CP (Age range = 9.80–47.50 years, 20 females) and 67 neurotypical controls (NT) (Age range = 9.08–49.40 years, Females = 27). MEG data from a five-minute eyes closed resting-state paradigm were source imaged, and the power within the delta (2–4 Hz), theta (5–7 Hz), alpha (8–12 Hz), beta (15–29 Hz), and gamma (30–59 Hz) frequency bands were computed.ResultsFor both groups, the delta and theta spontaneous power decreased in the bilateral temporoparietal and superior parietal regions with age, while alpha, beta, and gamma band spontaneous power increased in temporoparietal, frontoparietal and premotor regions with age. We also found a significant group x age interaction, such that participants with CP demonstrated significantly less age-related increases in the spontaneous beta activity in the bilateral sensorimotor cortices compared to NT controls.DiscussionOverall, these results demonstrate that the spontaneous neural activity in individuals with CP has an altered trajectory when transitioning from adolescents to adulthood. We suggest that these differences in spontaneous cortical activity may play a critical role in the aberrant motor actions seen in this patient group, and may provide a neurophysiological marker for assessing the effectiveness of current treatment strategies that are directed at improving the mobility and sensorimotor impairments seen in individuals with CP.

Emotion brain network topology in healthy subjects following passive listening to different auditory stimuli

“…The time series were first band pass filtered to frequency bands of interest: delta ( δ ) (2 − 4 Hz ), theta ( θ ) (5 − 7 Hz ), alpha ( α ) (8 − 12 Hz ), beta ( β ) (15 − 29 Hz ), and gamma ( γ ) (30 − 59 Hz ). This frequency ranges were the convention used in Brainstorm software and have been used in many prior studies ( Gehrig et al, 2012 ; Wiesman et al, 2022 ; Rempe et al, 2023 ; Bergwell et al, 2023 ; Nugent et al, 2020 ). In order to avoid spurious connectivity between the reconstructed source time series caused by signal leakage, we applied orthogonalized AEC where time series were orthogonalized prior to computation of AEC ( Hipp et al, 2012 ).…”