Quantitative EEG as a Biomarker in Evaluating Post-Stroke Depression.
Livia Livinț PopaDiana ChiraVictor DăbalăElian HapcaBogdan Ovidiu PopescuConstantin DinaRăzvan CherecheșȘtefan StrilciucDafin F MureșanuPublished in: Diagnostics (Basel, Switzerland) (2022)
Introduction : Post-stroke depression (PSD) has complex pathophysiology determined by various biological and psychological factors. Although it is a long-term complication of stroke, PSD is often underdiagnosed. Given the diagnostic role of quantitative electroencephalography (qEEG) in depression, it was investigated whether a possible marker of PSD could be identified by observing the evolution of the (Delta + Theta)/(Alpha + Beta) Ratio (DTABR), respectively the Delta/Alpha Ratio (DAR) values in post-stroke depressed patients (evaluated through the HADS-D subscale). Methods : The current paper analyzed the data of 57 patients initially selected from a randomized control trial (RCT) that assessed the role of N-Pep 12 in stroke rehabilitation. EEG recordings from the original trial database were analyzed using signal processing techniques, respecting the conditions (eyes open, eyes closed), and several cognitive tasks. Results : We observed two significant associations between the DTABR values and the HADS-D scores of post-stroke depressed patients for each of the two visits (V1 and V2) of the N-Pep 12 trial. We recorded the relationships in the Global (V1 = 30 to 120 days after stroke) and Frontal Extended (V2 = 90 days after stroke) regions during cognitive tasks that trained attention and working memory. For the second visit, the association between the analyzed variables was negative. Conclusions : As both our relationships were described during the cognitive condition, we can state that the neural networks involved in processing attention and working memory might go through a reorganization process one to four months after the stroke onset. After a period longer than six months, the process could localize itself at the level of frontal regions, highlighting a possible divergence between the local frontal dynamics and the subjective well-being of stroke survivors. QEEG parameters linked to stroke progression evolution (like DAR or DTABR) can facilitate the identification of the most common neuropsychiatric complication in stroke survivors.
Keyphrases
- working memory
- end stage renal disease
- atrial fibrillation
- transcranial direct current stimulation
- attention deficit hyperactivity disorder
- newly diagnosed
- chronic kidney disease
- ejection fraction
- prognostic factors
- peritoneal dialysis
- randomized controlled trial
- young adults
- functional connectivity
- study protocol
- mass spectrometry
- optical coherence tomography
- minimally invasive
- high resolution
- artificial intelligence
- machine learning
- cerebral ischemia
- body composition
- resting state
- high frequency