scispace - formally typeset
N

Nicholas Parsons

Researcher at Deakin University

Publications -  7
Citations -  518

Nicholas Parsons is an academic researcher from Deakin University. The author has contributed to research in topics: Orbitofrontal cortex & Functional magnetic resonance imaging. The author has an hindex of 3, co-authored 7 publications receiving 18 citations.

Papers
More filters
Journal ArticleDOI

Short-term and Long-term Rates of Postacute Sequelae of SARS-CoV-2 Infection: A Systematic Review.

TL;DR: More than half of COVID-19 survivors experienced persistent postacute sequelae (PASC) 6 months after recovery as mentioned in this paper, and most common PASC involved functional mobility impairments, pulmonary abnormalities, and mental health disorders.
Journal ArticleDOI

Modelling the Anatomic Distribution of Neurologic Events in Patients with COVID-19: A Systematic Review of MRI Findings.

TL;DR: In this article, a network diffusion model was implemented to evaluate whether a diffusion model can explain the spread of small neurologic events in patients with coronavirus disease 2019 (COVID-19), and any brain regions showing a significant association between predicted and measured events were considered epicenters.
Journal ArticleDOI

A systematic review of resting-state functional connectivity in obesity: Refining current neurobiological frameworks and methodological considerations moving forward

TL;DR: In this paper, a systematic review aggregated resting-state functional magnetic resonance imaging (fMRI) findings in individuals with obesity and evaluated the contribution of these findings to current neurobiological models.
Posted ContentDOI

Sleeping While Awake: The Intrusion of Neural Activity Associated with Sleep Onset in the Awake Human Brain

TL;DR: Graph theoretical modelling showed that the activity associated with sleep onset emerges from the basal forebrain and spreads anterior-posteriorly via the brain’s structural connectome, which suggests that the approach can be reliably used in understanding the neuro-behavioural consequences of sleep and circadian disturbances in humans.
Posted ContentDOI

Modelling the Anatomical Distribution of Neurological Events in COVID-19 Patients: A Systematic Review

TL;DR: The application of a mathematical network diffusion model suggested that the spatial pattern of the small neurological events in COVID-19 can be modelled with a linear diffusion of spread from epicentres in the bilateral cerebellum and basal ganglia.