Deep brain stimulation modulates the dynamics of resting-state networks in patients with Parkinson’s Disease

Mt, Gomes; Fernandes, Henrique M; Cabral, Joana

doi:10.1101/2020.11.04.368274

Cited by 1 publication

(2 citation statements)

References 89 publications

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“…We chose a LEiDA processing pipeline, as it provides time-resolved metrics of brain states and has been successfully applied to study brain dynamics in adults (Cabral et al, 2017; Figueroa et al, 2019; Gomes et al, 2020; Lord et al, 2019; Vohryzek et al, 2020). Although a majority of prior studies of dynamic brain functional connectivity have adopted sliding window approaches, it necessitates the choice of arbitrary parameters in the analysis, such as window and step sizes.…”

Section: Discussionmentioning

confidence: 99%

“…This results in a symmetric dynamic functional connectivity matrix for each fMRI volume. We then obtain a lower-dimensional representation with the LEiDA approach (Cabral et al, 2017; Gomes et al, 2020; Lord et al, 2019; Vohryzek et al, 2020), whereby the LEiDA vector corresponds to the first eigenvector of the decomposition of the matrix Δ φ ij ( t ). This method has been previously shown to reveal information on the community structure of networks and graphs (Newman, 2006a, 2006b).…”

Section: Methodsmentioning

confidence: 99%

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Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment

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Ciarrusta

Gale‐Grant

et al. 2022

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Brain functional dynamics have been linked to emotion and cognition in mature individuals, where alterations are associated with mental ill-health and neurodevelopmental conditions (such as autism spectrum disorder). Although reliable resting-state networks have been consistently identified in neonates, little is known about the early development of dynamic brain functional connectivity and whether it is linked to later neurodevelopmental outcomes in childhood. In this study we characterised dynamic functional connectivity in the first few weeks of postnatal life and evaluated whether early dynamic functional connectivity: i) changes with age in the neonatal period ii) is altered by preterm birth and iii) is associated with neurodevelopmental and behavioural outcomes at 18 months. We used the Kuramoto Order Parameter as a metric of global brain synchrony and defined transient brain states (modules) using Leading Eigenvector Analysis (LEiDA) in a cohort of term-born (n=324) and preterm-born babies (n=66) scanned at term equivalent age from the developing Human Connectome Project. We assessed whether neonatal brain state features (mean synchrony, metastability, entropy, fractional occupancy, dwelling times) and state transition probabilities were associated with postmenstrual age at scan , postnatal days at scan and preterm-birth; and correlate with neurodevelopmental outcomes at 18 months measured using the Bayley Scales of Infant and Toddler Development, and atypical social, sensory and repetitive behaviours measured by the Quantitative Checklist for Autism in Toddlers (Q-CHAT). On a global scale, preterm-born infants had lower mean synchronisation and metastability, with reduced mean synchronisation associated with higher Q-CHAT scores at 18 months of age. On a modular scale, we identified six transient states of neonatal dynamic functional connectivity: three whole-brain synchronisation states and three regional synchrony states occupying occipital, sensory-motor, and frontal regions. Mean synchrony, metastability, fractional occupancy and dwelling times of these brain states were correlated with postmenstrual age and postnatal days at scan. Preterm-born infants had increased fractional occupancy of frontal and occipital states. Higher neonatal sensory-motor synchronisation was associated with lower motor and language outcome scores at 18 months. Lower frequency of occurrence of whole-brain synchronisation states and higher frequency of occurrence of the sensory-motor state were associated with higher Q-CHAT scores at 18 months. Thus, we have shown for the first time that a dynamic landscape of brain connectivity is already established by the time of birth in the human brain. This landscape is altered by preterm birth and its profile is linked to neurodevelopmental outcomes in toddlerhood.

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