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Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed.

ABSTRACT: While the negative association between physical activity and depression has been well established, it is unclear what precise characteristics of physical activity patterns explain this association. Complexity measures may identify previously unexplored aspects of objectively measured activity patterns, such as the extent to which individuals show repetitive periods of physical activity and the diversity in durations of such repetitive activity patterns. We compared the complexity levels of actigraphy data gathered over 4 weeks ([Formula: see text] data points each) for every individual, from non-depressed ([Formula: see text]) and depressed ([Formula: see text]) groups using recurrence plots. Significantly lower levels of complexity were detected in the actigraphy data from the depressed group as compared to non-depressed controls, both in terms of lower mean durations of periods of recurrent physical activity and less diversity in the duration of these periods. Further, diagnosis of depression was not significantly associated with mean activity levels or measures of circadian rhythm stability, and predicted depression status better than these.

SUBMITTER: George SV

PROVIDER: S-EPMC8241993 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Cortisol and α-Amylase Secretion Patterns between and within Depressed and Non-Depressed Individuals.

Project description:ObjectivesAssociations between biological stress markers and depression are inconsistent across studies. We assessed whether inter- and intra-individual variability explain these inconsistencies.MethodsPair-matched depressed and non-depressed participants (N = 30) collected saliva thrice a day for 30 days, resulting in 90 measurements per individual. The relationships between measures of stress-system function and depression were examined at the group level by means of mixed model analyses, and at the individual level by means of pair-matched comparisons. The analyses were repeated after adjusting for time-varying lifestyle factors by means of time-series regression analyses.ResultsCortisol and α-amylase levels were higher, the α-amylase/cortisol ratio larger, and the daily cortisol slope steeper in the depressed compared to the non-depressed group. Adjusting for lifestyle factors and antidepressant use reduced the associations under study. In 40%-60% of the matched comparisons, depressed individuals had higher cortisol and α-amylase levels, a larger α-amylase/cortisol ratio, and a steeper daily slope than their non-depressed match, regardless of adjustment.ConclusionsOur group-level findings were mostly in line with the literature but generalization to individuals appeared troublesome. Findings of studies on this topic should be interpreted with care, because in clinical practice the focus is on individuals instead of groups.

| S-EPMC4492984 | biostudies-literature

Comparison of actigraphy with polysomnography and sleep logs in depressed insomniacs.

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| S-EPMC3134551 | biostudies-literature

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| S-EPMC7496892 | biostudies-literature

Static and dynamic connectomics differentiate between depressed patients with and without suicidal ideation.

Project description:Neural circuit dysfunction underlies the biological mechanisms of suicidal ideation (SI). However, little is known about how the brain's "dynome" differentiate between depressed patients with and without SI. This study included depressed patients (n = 48) with SI, without SI (NSI), and healthy controls (HC, n = 30). All participants underwent resting-state functional magnetic resonance imaging. We constructed dynamic and static connectomics on 200 nodes using a sliding window and full-length time-series correlations, respectively. Specifically, the temporal variability of dynamic connectomic was quantified using the variance of topological properties across sliding window. The overall topological properties of both static and dynamic connectomics further differentiated between SI and NSI, and also predicted the severity of SI. The SI showed decreased overall topological properties of static connectomic relative to the HC. The SI exhibited increases in overall topological properties with regard to the dynamic connectomic when compared with the HC and the NSI. Importantly, combining the overall topological properties of dynamic and static connectomics yielded mean 75% accuracy (all p < .001) with mean 71% sensitivity and mean 75% specificity in differentiating between SI and NSI. Moreover, these features may predict the severity of SI (mean r = .55, all p < .05). The findings revealed that combining static and dynamic connectomics could differentiate between SI and NSI, offering new insight into the physiopathological mechanisms underlying SI. Furthermore, combining the brain's connectome and dynome may be considered a neuromarker for diagnostic and predictive models in the study of SI.

| S-EPMC6866497 | biostudies-literature

Transcription profiling of primary ovarian tumors from depressed and non-depressed patients

Project description:Gene expression profiling was carried out on primary ovarian carcinomas from 10 patients. The primary research question is whether gene expression differs in tissues from individuals with high vs low symptoms of psychological depression. Experiment Overall Design: Gene expression profiling was carried out on primary ovarian carcinomas from 10 patients. The primary research question is whether gene expression differs in tissues from individuals with high vs low symptoms of psychological depression.

2008-10-25 | E-GEOD-9116 | biostudies-arrayexpress

Leukocyte gene expression in depressed and non-depressed renal cell carcinoma patients

Project description:Gene expression profiling was carried out on peripheral blood mononuclear cell mRNA samples collected from renal cell carcinoma patients. The primary research question is whether gene expression differs as a function of patient's level of depression as measured by CESD score > 16. Gene expression profiling was carried out on peripheral blood mononuclear cell mRNA samples collected from renal cell carcinoma patients. The primary research question is whether gene expression differs as a function of patient's level of depression as measured by CESD score > 16.

2013-04-01 | E-GEOD-36957 | biostudies-arrayexpress

Kolmogorov compression complexity may differentiate different schools of Orthodox iconography.

Project description:The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, Russia and Romania was investigated through the Kolmogorov algorithmic information theory. The aim was to identify specific quantitative patterns which define the key characteristics of the three different painting schools. Our novel approach using the artificial surface images generated with Inverse FFT and the Midpoint Displacement (MD) algorithms, was validated by comparison of results with eight fractal and non-fractal indices. From the analyzes performed, normalized Kolmogorov compression complexity (KC) proved to be the best solution because it had the best complexity pattern differentiations, is not sensitive to the image size and the least affected by noise. We conclude that normalized KC methodology does offer capability to differentiate the icons within a School and amongst the three Schools.

| S-EPMC9232591 | biostudies-literature

Variation in actigraphy-estimated rest-activity patterns by demographic factors.

Project description:Rest-activity patterns provide an indication of circadian rhythmicity in the free-living setting. We aimed to describe the distributions of rest-activity patterns in a sample of adults and children across demographic variables. A sample of adults (N = 590) and children (N = 58) wore an actigraph on their nondominant wrist for 7 days and nights. We generated rest-activity patterns from cosinor analysis (MESOR, acrophase and magnitude) and nonparametric circadian rhythm analysis (IS: interdaily stability; IV: intradaily variability; L5: least active 5-hour period; M10: most active 10-hour period; and RA: relative amplitude). Demographic variables included age, sex, race, education, marital status, and income. Linear mixed-effects models were used to test for demographic differences in rest-activity patterns. Adolescents, compared to younger children, had (1) later M10 midpoints (β = 1.12 hours [95% CI: 0.43, 1.18] and lower M10 activity levels; (2) later L5 midpoints (β = 1.6 hours [95% CI: 0.9, 2.3]) and lower L5 activity levels; (3) less regular rest-activity patterns (lower IS and higher IV); and 4) lower magnitudes (β = -0.95 [95% CI: -1.28, -0.63]) and relative amplitudes (β = -0.1 [95% CI: -0.14, -0.06]). Mid-to-older adults, compared to younger adults (aged 18-29 years), had (1) earlier M10 midpoints (β = -1.0 hours [95% CI: -1.6, -0.4]; (2) earlier L5 midpoints (β = -0.7 hours [95% CI: -1.2, -0.2]); and (3) more regular rest-activity patterns (higher IS and lower IV). The magnitudes and relative amplitudes were similar across the adult age categories. Sex, race and education level rest-activity differences were also observed. Rest-activity patterns vary across the lifespan, and differ by race, sex and education. Understanding population variation in these patterns provides a foundation for further elucidating the health implications of rest-activity patterns across the lifespan.

| S-EPMC6101244 | biostudies-literature

Leukocyte gene expression in depressed and non-depressed renal cell carcinoma patients

2013-04-01 | GSE36957 | GEO

Response to Infant Cry in Clinically Depressed and Non-Depressed Mothers.

Project description:BackgroundBowlby and Ainsworth hypothesized that maternal responsiveness is displayed in the context of infant distress. Depressed mothers are less responsive to infant distress vocalizations (cry) than non-depressed mothers. The present study focuses on acoustical components of infant cry that give rise to responsive caregiving in clinically depressed (n = 30) compared with non-depressed mothers (n = 30) in the natural setting of the home.MethodsAnalyses of infant and mother behaviors followed three paths: (1) tests of group differences in acoustic characteristics of infant cry, (2) tests of group differences of mothers' behaviors during their infant's crying, and (3) tree-based modeling to ascertain which variable(s) best predict maternal behaviors during infant cry.Results(1) Infants of depressed mothers cried as frequently and for equal durations as infants of non-depressed mothers; however, infants of depressed mothers cried with a higher fundamental frequency (f0) and in a more restricted range of f0. (2) Depressed mothers fed, rocked, and touched their crying infants less than non-depressed mothers, and depressed mothers were less responsive to their infants overall. (3) Novel tree-based analyses confirmed that depressed mothers engaged in less caregiving during their infants' cry and indicated that depressed mothers responded only to cries at higher f0s and shorter durations. Older non-depressed mothers were the most interactive with infants.ConclusionsClinical depression affects maternal responsiveness during infant cry, leading to patterns of action that appear poorly attuned to infant needs.

| S-EPMC5207505 | biostudies-literature

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