Power spectral analysis of sleep EEG in twins discordant for chronic fatigue syndrome

Early identification and diagnosis of mild cognitive impairment (MCI) in patients with parkinsonism (PDS) are critical. The aim of this study was to identify biomarkers of MCI in PDS using conventional electroencephalogram (EEG) power spectral analysis and detrended fluctuation analysis (DFA). In this retrospective study, patients with PDS who underwent an overnight polysomnography (PSG) study in our hospital from 2019 to 2020 were enrolled. Patients with PDS assessed by clinical examination and questionnaires were divided into two groups: the PDS with normal cognitive function (PDS-NC) group and the PDS with MCI (PDS-MCI) group. Sleep EEG signals were extracted and purified from the PSG and subjected to a conventional power spectral analysis, as well as detrended fluctuation analysis (DFA) during wakefulness, nonrapid eye movement (NREM) sleep, and rapid eye movement (REM) sleep. Forty patients with PDS were enrolled, including 25 with PDS-NC and 15 with PDS-MCI. Results revealed that compared with PDS-NC patients, patients with PDS-MCI had a reduced fast ratio ( alpha + beta / delta + theta ) and increased DFA during NREM sleep. DFA during NREM was diagnostic of PDS-MCI, with an area under the receiver operating characteristic curve of 0.753 (95% CI: 0.592–0.914) ( p < 0.05 ). Mild cognitive dysfunction was positively correlated with NREM-DFA ( r = 0.426 , p = 0.007 ) and negatively correlated with an NREM-fast ratio ( r = − 0.524 , p = 0.001 ). This suggested that altered EEG activity during NREM sleep is associated with MCI in patients with PDS. NREM sleep EEG characteristics of the power spectral analysis and DFA correlate to MCI. Slowing of EEG activity during NREM sleep may reflect contribution to the decline in NREM physiological function and is therefore a marker in patients with PDS-MCI.

Download Full-text

Long- and short-term blood pressure andRR-interval variability and psychosomatic distress in chronic fatigue syndrome: authors’ reply 1

Clinical Science ◽

10.1042/cs19990155 ◽

1999 ◽

Vol 97 (3) ◽

pp. 319 ◽

Cited By ~ 1

Author(s):

D.A. DUPREZ ◽

M.L. DE BUYZERE ◽

B. DRIEGHE ◽

F. VANHAVERBEKE ◽

Y. TAES ◽

...

Keyword(s):

Blood Pressure ◽

Chronic Fatigue Syndrome ◽

Chronic Fatigue ◽

Short Term ◽

Fatigue Syndrome

Download Full-text

Effects of acute clonidine administration on power spectral analysis of heart rate variability in healthy humans

Journal of Autonomic Pharmacology ◽

10.1046/j.1365-2680.1998.18599.x ◽

1998 ◽

Vol 18 (5) ◽

pp. 307-312 ◽

Cited By ~ 14

Author(s):

C. Lazzeri ◽

G. La Villa ◽

M. Mannelli ◽

L. Janni ◽

F. Franchi

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Spectral Analysis ◽

Power Spectral Analysis ◽

Healthy Humans ◽

Power Spectral

Download Full-text

Diagnostic Concordance Between Categorical and Dimensional Instruments to Assess Personality Disorder in Chronic Fatigue Syndrome

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000281 ◽

2017 ◽

Vol 33 (3) ◽

pp. 158-165

Author(s):

Natalia Calvo ◽

Naia Sáez-Francàs ◽

Sergi Valero ◽

Jesús Castro-Marrero ◽

José Alegre Martín ◽

...

Keyword(s):

Personality Disorder ◽

Chronic Fatigue Syndrome ◽

Personality Assessment ◽

Chronic Fatigue ◽

Specific Pattern ◽

Harm Avoidance ◽

Assessment Instrument ◽

Compulsive Disorder ◽

Fatigue Syndrome ◽

Self Transcendence

Abstract. The study examines the relationship between a categorical and a dimensional personality assessment instrument in patients with Chronic Fatigue Syndrome (CFS). A total of 162 CFS patients were included in the study (91.4% women; mean age 47.5 years). All subjects completed the Spanish versions of the Personality Diagnostic Questionnaire-4+ (PDQ-4+) and the Temperament and Character Inventory-Revised (TCI-R). Results: 78 (48.1%) of the patients presented a Personality Disorder (PD), the most frequent being Cluster C, specifically Obsessive-compulsive disorder, followed by Avoidant disorder. PDs showed a specific pattern of correlation with temperament scales. All PD clusters correlated positively with Harm Avoidance and Self-Transcendence, and negatively with Reward Dependence, Self-Directedness, and Cooperativeness. In a logistic regression analysis, Self-Directedness and Cooperativeness predicted PD presence. The findings are consistent with previous studies in non-CFS samples and suggest that the combination of the Temperament and Character dimensions (low Self-Directedness and Cooperativeness and high Harm Avoidance and Self-Transcendence) correlates with PD severity, and that Self-Directedness and Cooperativeness are associated with PD presence in CFS patients. The integration of these two perspectives expands the current comprehension of personality pathology in CFS patients.

Download Full-text