High-density EEG sleep correlates of cognitive and affective impairment at 12-month follow-up after COVID-19.
Clin Neurophysiol
; 140: 126-135, 2022 08.
Article
in English
| MEDLINE | ID: covidwho-1894876
ABSTRACT
OBJECTIVE:
To disentangle the pathophysiology of cognitive/affective impairment in Coronavirus Disease-2019 (COVID-19), we studied long-term cognitive and affective sequelae and sleep high-density electroencephalography (EEG) at 12-month follow-up in people with a previous hospital admission for acute COVID-19.METHODS:
People discharged from an intensive care unit (ICU) and a sub-intensive ward (nonICU) between March and May 2020 were contacted between March and June 2021. Participants underwent cognitive, psychological, and sleep assessment. High-density EEG recording was acquired during a nap. Slow and fast spindles density/amplitude/frequency and source reconstruction in brain gray matter were extracted. The relationship between psychological and cognitive findings was explored with Pearson correlation.RESULTS:
We enrolled 33 participants ( 17 nonICU) and 12 controls. We observed a lower Physical Quality of Life index, higher post-traumatic stress disorder (PTSD) score, and a worse executive function performance in nonICU participants. Higher PTSD and Beck Depression Inventory scores correlated with lower executive performance. The same group showed a reorganization of spindle cortical generators.CONCLUSIONS:
Our results show executive and psycho-affective deficits and spindle alterations in COVID-19 survivors - especially in nonICU participants - after 12 months from discharge.SIGNIFICANCE:
These findings may be suggestive of a crucial contribution of stress experienced during hospital admission on long-term cognitive functioning.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Cohort study
/
Prognostic study
Topics:
Long Covid
Limits:
Humans
Language:
English
Journal:
Clin Neurophysiol
Journal subject:
Neurology
/
Psychophysiology
Year:
2022
Document Type:
Article
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