Functional connectivity correlates of post-acute covid 19 cognitive and neuropsychiatric complications
Auwal, A. M.; Keller, S.; Bullmore, E.; Ellul, M.; Michael, B. D.
Show abstract
Abstract Background The neuropsychiatric sequelae (cognitive deficits, anxiety and depression) post-COVID-19 exist as part of the spectrum of the multisystemic long COVID. People with these symptoms have been shown to have worse functional outcomes. Hence, this significantly impacts the economy, primarily due to productivity losses. Yet, the precise underlying pathogenesis remains unknown, as do any diagnostic or prognostic biomarkers. Aim This study aims to identify functionally impacted brain regions in those with post-COVID-19 neurological sequelae and to evaluate how alterations in brain function relate to acute serum inflammatory mediators and brain injury biomarkers. Methods The study will utilise data from the COVID-19 Clinical Neuroscience Study (CNS), a large UK multicentre study conducted during the pandemic. This sub-study will be a secondary analysis of the COVID-19 CNS, a prospective observational study that compared COVID-19-positive participants with negative controls. Participants had an MRI, blood tested for acute serum inflammatory mediators and brain injury biomarkers, and neuropsychiatric assessment (cognitron test, PHQ-9 and GAD-7) post-acutely and at follow-up. The DPABI (Data Processing & Analysis for Brain Imaging) toolbox will be used for pre-processing and analysis of the neuroimaging data (resting state functional MRI) to obtain regional homogeneity (ReHo). The association between ReHO and neuropsychiatric symptoms, acute inflammatory mediators and brain injury biomarkers will be explored. Regression models would be used to determine the risk and protective factors for developing these symptoms. Conclusion It is anticipated that the study will provide new insights into the functional basis of post-acute COVID-19 neuropsychiatric manifestations and identify new diagnostic biomarkers. Key words: Regional Homogeneity, COVID-19, functional MRI, neuropsychiatry, biomarkers
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- No effect of tDCS on fatigue and depression in chronic stroke patients: an exploratory randomized sham-controlled trial combining tDCS with computerized cognitive training 91%
- Multimodal MRI Reveals Brain Structural Differences and Executive Dysfunction in Early Methamphetamine Abstinence 89%
- Atypical Resting State Functional Connectivity in Mild Traumatic Brain Injury 89%
Similar papers in this journal
- Relationships Between Brain Functional Connectivity and Resting Cardiac Autonomic Profiles in Functional Neurological Disorder: A Pilot Study 94%
- Choroid plexus enlargement is associated with neuroinflammation and reduction of blood brain barrier permeability in depression 92%
- A Fundamental Distinction in Early Neural Processing of Implicit Social Interpretation in Schizophrenia and Bipolar Disorder 92%
Similar papers in this journal
- White Matter Abnormalities in Bipolar II and Unipolar Depression: Evidence from Fixel-Based Analysis 93%
- Differential Cerebral White Matter Tract Alterations in Generalized Anxiety Disorder Revealed by Ultra-High Field 7T Diffusion-Weighted Imaging 92%
- Depression, Brain Structure and Socioeconomic Status: A UK Biobank Study 91%
Similar papers in this journal
- Applying Machine-Learning and Deep-Learning to Predict Depression from Brain MRI and Identify Depression-Related Brain Biology 93%
- The Influence of Phenotyping Method on Structural Neuroimaging Associations with Depression in UK Biobank 91%
- Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis 91%
Similar papers in this journal
- Selective visuoconstructional impairment following mild COVID-19 with inflammatory and neuroimaging correlation findings 92%
- Peripheral inflammation is associated with micro-structural and functional connectivity changes in depression-related brain networks 91%
- Cross-disorder comparison of Brain Structures among 4,842 Individuals with Mental Disorders and Controls utilizing Danish population-based Clinical MRI Scans 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.