Temporal patterns of human behaviour: are there signs of deterministic 1/f scaling?

Dünki, Rudolf M.; Keller, E. Victor; Meier, P. F.; Ambühl, Brigitte

doi:10.1016/s0378-4371(99)00443-4

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…LMMs can properly model effects with repeated measures, as can GEEs, but can also allow for intercepts and slopes to vary for each individual participant, by treating the participant as a random factor. Fatigue and cytokine data were person-centered (z-score-transformed) and temporally smoothed using a three-day moving average to improve pattern detection [ 50 , 51 ]. Because only half of the HV individuals had measurable levels of fatigue, these analyses were performed on the GWI individuals only.…”

Section: Methodsmentioning

confidence: 99%

Evidence for abnormal cytokine expression in Gulf War Illness: A preliminary analysis of daily immune monitoring data

et al. 2015

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BackgroundGulf War Illness (GWI) is a clinically heterogeneous chronic condition that affects many veterans of the 1990–1991 Persian Gulf War. One of the most prevalent and debilitating symptoms of GWI is abnormal fatigue. The mechanisms underlying GWI generally, and fatigue symptoms specifically, have yet to be conclusively identified, although immune system abnormalities are suspected to be involved. The first goal of this immune monitoring study was to determine if GWI is associated with higher absolute levels and daily variability of pro-inflammatory immune factors. The second goal was to explore the relationship between day-to-day immune marker fluctuations and daily self-reported fatigue severity. MethodsWe recruited veterans with GWI and healthy veteran control (HV) participants to provide self-reported fatigue severity data and blood samples, over 25 consecutive days. We profiled inflammatory processes by using a longitudinal, daily immune-monitoring approach. For each day, serum cytokine and chemokine concentrations were determined using multiplex assays.ResultsSeven veterans with GWI and eight healthy veteran control (HV) participants completed the study protocol. We found that GWI was associated with higher variability in the expression of eotaxin-1 (p < 0.001). For GWI participants, higher fatigue severity days were associated with greater IL-1β (p = 0.008) and IL-15 (p < 0.001).ConclusionsOur findings provide preliminary evidence that the immune system is involved in the pathophysiology of GWI. Longitudinal immune profiling approaches may be helpful in discovering targets for novel therapies in conditions such as GWI.

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Section: Methodsmentioning

confidence: 99%

Evidence for abnormal cytokine expression in Gulf War Illness: A preliminary analysis of daily immune monitoring data

et al. 2015

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“…1. Now we analyse the time series using the quantity M (L), the mean distance a walker spanned within time L. Dunki and Ambuhl [27,28] used this quantity to discuss the scaling property in temporal patterns of schizophrenia. Denote…”

Section: Detrended Fluctuation Analysis and Spectral Analysismentioning

confidence: 99%

“…Dunki et al [28] proposed the following scale which seems to perform better than the scale α ′ . The definition…”

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confidence: 99%

Correlation property of length sequences based on global structure of the complete genome

Anh

Wang

2000

Phys. Rev. E

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This paper considers three kinds of length sequences of the complete genome. Detrended fluctuation analysis, spectral analysis, and the mean distance spanned within time L are used to discuss the correlation property of these sequences. The values of the exponents from these methods of these three kinds of length sequences of bacteria indicate that the long-range correlations exist in most of these sequences. The correlations have a rich variety of behaviors including the presence of anti-correlations. Furthermore, using the exponent gamma, it is found that these correlations are all linear (gamma=1.0+/-0.03). It is also found that these sequences exhibit 1/f noise in some interval of frequency (f>1). The length of this interval of frequency depends on the length of the sequence. The shape of the periodogram in f>1 exhibits some periodicity. The period seems to depend on the length and the complexity of the length sequence.

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“…Prediction of temporal variations of an observation is a natural ability of time series modeling. For instance, different time series models have been used (Dunki, Keller, Meier, & Ambuhl, 2000; Sideridis, 1997; Wulff, Dedek, & Siegmund, 2001) to detect temporal patterns of human behavior. In addition, numerous studies have employed time series to monitor treatment effectiveness on future behavior of each violent offender (Aylwin, Reddon, & Burke, 2005; Catalano & McConnell, 1996; Looman, Abracen, & Nicholaichuk, 2000; Nicholaichuk, Gordon, Gu, & Wong, 2000; Swanson, Swartz, Elbogen, & Dorn, 2004).…”

mentioning

confidence: 99%

A time series modeling approach in risk appraisal of violent and sexual recidivism.

Bani-Yaghoub¹,

Fedoroff²,

Curry³

et al. 2010

Law and Human Behavior

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For over half a century, various clinical and actuarial methods have been employed to assess the likelihood of violent recidivism. Yet there is a need for new methods that can improve the accuracy of recidivism predictions. This study proposes a new time series modeling approach that generates high levels of predictive accuracy over short and long periods of time. The proposed approach outperformed two widely used actuarial instruments (i.e., the Violence Risk Appraisal Guide and the Sex Offender Risk Appraisal Guide). Furthermore, analysis of temporal risk variations based on specific time series models can add valuable information into risk assessment and management of violent offenders.

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Temporal patterns of human behaviour: are there signs of deterministic 1/f scaling?

Cited by 10 publications

References 18 publications

Evidence for abnormal cytokine expression in Gulf War Illness: A preliminary analysis of daily immune monitoring data

Evidence for abnormal cytokine expression in Gulf War Illness: A preliminary analysis of daily immune monitoring data

Correlation property of length sequences based on global structure of the complete genome

A time series modeling approach in risk appraisal of violent and sexual recidivism.

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