26 research outputs found
Aplication of nonlinear methods in analysis of EEG theta rhythm changes during auditory short-term memory formation in human.
KratkoroÄna auditivna memorija (KAM) predstavlja kratkotrajno zadržavanje auditivno
primljenih informacija u memoriji. KratkoroÄna memorija, iako zaseban sistem, nije u potpunosti
nezavisna od dugoroÄne memorija. Memorija se ne nalazi na jednom podruÄju u mozgu, veÄ
obuhvata Ŕiroko - distribuiranu mrežu koja se sastoji, uglavnom, od mreža koje formiraju
prefrontalni, temporalni i parijetalni regioni i njihove interakcije sa subkortikalnim regijama
limbiÄkog sistema. Prethodna istraživanja promena EEG-a tokom formiranja KAM naglaÅ”avaju
znaÄaj aktivnosti teta ritma. Postoje brojna istraživanja EEG pokazatelja (korelata) formiranja
KAM kod ljudi. MeÄutim, skoro da nema studija koje su primenjivale nelinearne metode za
kvantifikaciju promena kompleksnosti EEG signala u procesu formiranja KAM.
U ovoj studiji primenjene su nelinearne metode ā fraktalna dimenzija (FD), fraktalna
dimenzija u okviru pokretnog prozora (prozorska fraktalna dimenzija ā pFD) i entropija uzorka
(SampEn) ā za kvantifikaciju promena EEG signala tokom procesa formiranja KAM. Analiziran
je period zadržavanja stimulusa u kratkoroÄnoj memoriji (eng. āretention periodāā retencija) u
klasiÄnoj Sternbergovoj paradigmi za tri nivoa memorijskog optereÄenja (MO) ā tri, pet i sedam
stimulusa. Rezultati primene nelinearnih metoda su uporeÄeni sa linearnim metodama ā
spektralna snaga, koherenca i analiza izvora EEG signala (analiza dipola).
Primenom nelinearnih metoda utvrÄeno je da pri formiranju KAM za stimuluse sa
znaÄenjem (reÄi) dolazi do promene kompleksnosti EEG signala u posteriornim regionima
korteksa a anteriornim tokom formiranja KAM za stimuluse bez znaÄenja (nereÄi). Primena FD i
SampEn omoguÄila je detekciju promena stepena MO. Po prvi put je pokazano da sa poveÄanjem
MO dolazi do linearnog poveÄanja ili smanjenja vrednosti FD i SampEn EEG signala. pFD
analizom utvrÄeno je da tokom formiranja KAM za reÄi dolazi do maksimuma kompleksnosti
EEG signala u intervalu od 600-800 ms perioda retencije. Pri formiranju KAM za nereÄi
maksimum kompleksnosti se javlja ranije u odnosu na reÄi, u intervalu od 200-600ms sa
cikliÄnim ponavljanjem porasta i smanjenja kompleksnosti do kraja perioda retencije...Short-term auditory memory (STAM) is a short-term retention of auditory received
information in memory. Short-term memory, although a separate system, is not entirely
independent of long-term memory. Memory is not located in one area of the brain, but also
includes a wide - distributed network consisting mainly of networks that form the frontal,
temporal and parietal regions and their interaction with subcortical regions of the limbic system.
Previous studies of changes in the EEG during the formation of STAM emphasize the
importance of theta rhytm activities. There are numerous studies of EEG correlates of STAM
forming in humans. However, there are almost no studies that have applied non-linear method
for quantification of changes in the complexity of the EEG signal during formation of STAM.
In this study, we applied the non-linear methods ā fractal dimension (FD), fractal
dimension with moving window (wFD), and sample entropy (SampEn) ā to quantify the changes
in the EEG signal complexity during formation of STAM. We analyzed the period of retention in
the classic Sternbergās paradigm for three levels of memory load (ML) - three, five, and seven
stimuli. Results of nonlinear methods were compared with linear methods - spectral power,
coherence and analysis of the sources of EEG signals (analysis of the dipoles).
During formation of the STAM for stimuli with meaning (words) there is a change in the
complexity of EEG signal in the posterior regions of the cortex, and the anterior during the
formation of the STAM for the stimuli without meaning (nonwords). Application of FD and
SampEn has enabled the detection of changes in the level of ML. For the first time it is shown
that with increasing ML comes a linear increase (decrease), respectively, in the value of the FD
and SampEn. Window fractal analysis showed that during the formation of STAM for words,
there is a maximum of complexity in the range of 600-800 ms during retention period. In
forming STAM for nonwords, maximum of complexity occurs earlier than for words, in the
range of 200-600ms with cyclic repetition of the complexity increase and decrease towards the
end of the retention period..
Case-control study of apoE gene polymorphism in young CHD patients and controls in the Serbian population
Apolipoprotein E displays polymorphism with three common alleles, e2, e3, and e4. The aim of this research was to determine apoE gene polymorphism in a group of healthy patients and a group of patients with CHD, and to reveal the relation between anthropometric and biochemical parameters and the apoE genotype. In CHD group significantly higher values of blood pressure, waist circumference, BMI and fat %, triglycerides, insulin (HOMA IR) and CRP were found. A statistically significant higher presence of the e3e4 genotype and e4 allele was detected in the CHD group. Statistically significant differences between waist circumference, BMI, insulin and HOMA IR were found between subjects with e3e3 and e3e4 genotypes
A self-organized model for cell-differentiation based on variations of molecular decay rates
Systemic properties of living cells are the result of molecular dynamics
governed by so-called genetic regulatory networks (GRN). These networks capture
all possible features of cells and are responsible for the immense levels of
adaptation characteristic to living systems. At any point in time only small
subsets of these networks are active. Any active subset of the GRN leads to the
expression of particular sets of molecules (expression modes). The subsets of
active networks change over time, leading to the observed complex dynamics of
expression patterns. Understanding of this dynamics becomes increasingly
important in systems biology and medicine. While the importance of
transcription rates and catalytic interactions has been widely recognized in
modeling genetic regulatory systems, the understanding of the role of
degradation of biochemical agents (mRNA, protein) in regulatory dynamics
remains limited. Recent experimental data suggests that there exists a
functional relation between mRNA and protein decay rates and expression modes.
In this paper we propose a model for the dynamics of successions of sequences
of active subnetworks of the GRN. The model is able to reproduce key
characteristics of molecular dynamics, including homeostasis, multi-stability,
periodic dynamics, alternating activity, differentiability, and self-organized
critical dynamics. Moreover the model allows to naturally understand the
mechanism behind the relation between decay rates and expression modes. The
model explains recent experimental observations that decay-rates (or turnovers)
vary between differentiated tissue-classes at a general systemic level and
highlights the role of intracellular decay rate control mechanisms in cell
differentiation.Comment: 16 pages, 5 figure
The Functional Renormalization Group and O(4) scaling
The critical behavior of the chiral quark-meson model is studied within the
Functional Renormalization Group (FRG). We derive the flow equation for the
scale dependent thermodynamic potential at finite temperature and density in
the presence of a symmetry-breaking external field. Within this scheme, the
critical scaling behavior of the order parameter, its transverse and
longitudinal susceptibilities as well as the correlation lengths near the
chiral phase transition are computed. We focus on the scaling properties of
these observables at non-vanishing external field when approaching the critical
point from the symmetric as well as from the broken phase. We confront our
numerical results with the Widom-Griffiths form of the magnetic equation of
state, obtained by a systematic epsilon-expansion of the scaling function. Our
results for the critical exponents are consistent with those recently computed
within Lattice Monte-Carlo studies of the O(4) spin system.Comment: 14 pages, 11 figure
Aplication of nonlinear methods in analysis of EEG theta rhythm changes during auditory short-term memory formation in human.
KratkoroÄna auditivna memorija (KAM) predstavlja kratkotrajno zadržavanje auditivno
primljenih informacija u memoriji. KratkoroÄna memorija, iako zaseban sistem, nije u potpunosti
nezavisna od dugoroÄne memorija. Memorija se ne nalazi na jednom podruÄju u mozgu, veÄ
obuhvata Ŕiroko - distribuiranu mrežu koja se sastoji, uglavnom, od mreža koje formiraju
prefrontalni, temporalni i parijetalni regioni i njihove interakcije sa subkortikalnim regijama
limbiÄkog sistema. Prethodna istraživanja promena EEG-a tokom formiranja KAM naglaÅ”avaju
znaÄaj aktivnosti teta ritma. Postoje brojna istraživanja EEG pokazatelja (korelata) formiranja
KAM kod ljudi. MeÄutim, skoro da nema studija koje su primenjivale nelinearne metode za
kvantifikaciju promena kompleksnosti EEG signala u procesu formiranja KAM.
U ovoj studiji primenjene su nelinearne metode ā fraktalna dimenzija (FD), fraktalna
dimenzija u okviru pokretnog prozora (prozorska fraktalna dimenzija ā pFD) i entropija uzorka
(SampEn) ā za kvantifikaciju promena EEG signala tokom procesa formiranja KAM. Analiziran
je period zadržavanja stimulusa u kratkoroÄnoj memoriji (eng. āretention periodāā retencija) u
klasiÄnoj Sternbergovoj paradigmi za tri nivoa memorijskog optereÄenja (MO) ā tri, pet i sedam
stimulusa. Rezultati primene nelinearnih metoda su uporeÄeni sa linearnim metodama ā
spektralna snaga, koherenca i analiza izvora EEG signala (analiza dipola).
Primenom nelinearnih metoda utvrÄeno je da pri formiranju KAM za stimuluse sa
znaÄenjem (reÄi) dolazi do promene kompleksnosti EEG signala u posteriornim regionima
korteksa a anteriornim tokom formiranja KAM za stimuluse bez znaÄenja (nereÄi). Primena FD i
SampEn omoguÄila je detekciju promena stepena MO. Po prvi put je pokazano da sa poveÄanjem
MO dolazi do linearnog poveÄanja ili smanjenja vrednosti FD i SampEn EEG signala. pFD
analizom utvrÄeno je da tokom formiranja KAM za reÄi dolazi do maksimuma kompleksnosti
EEG signala u intervalu od 600-800 ms perioda retencije. Pri formiranju KAM za nereÄi
maksimum kompleksnosti se javlja ranije u odnosu na reÄi, u intervalu od 200-600ms sa
cikliÄnim ponavljanjem porasta i smanjenja kompleksnosti do kraja perioda retencije...Short-term auditory memory (STAM) is a short-term retention of auditory received
information in memory. Short-term memory, although a separate system, is not entirely
independent of long-term memory. Memory is not located in one area of the brain, but also
includes a wide - distributed network consisting mainly of networks that form the frontal,
temporal and parietal regions and their interaction with subcortical regions of the limbic system.
Previous studies of changes in the EEG during the formation of STAM emphasize the
importance of theta rhytm activities. There are numerous studies of EEG correlates of STAM
forming in humans. However, there are almost no studies that have applied non-linear method
for quantification of changes in the complexity of the EEG signal during formation of STAM.
In this study, we applied the non-linear methods ā fractal dimension (FD), fractal
dimension with moving window (wFD), and sample entropy (SampEn) ā to quantify the changes
in the EEG signal complexity during formation of STAM. We analyzed the period of retention in
the classic Sternbergās paradigm for three levels of memory load (ML) - three, five, and seven
stimuli. Results of nonlinear methods were compared with linear methods - spectral power,
coherence and analysis of the sources of EEG signals (analysis of the dipoles).
During formation of the STAM for stimuli with meaning (words) there is a change in the
complexity of EEG signal in the posterior regions of the cortex, and the anterior during the
formation of the STAM for the stimuli without meaning (nonwords). Application of FD and
SampEn has enabled the detection of changes in the level of ML. For the first time it is shown
that with increasing ML comes a linear increase (decrease), respectively, in the value of the FD
and SampEn. Window fractal analysis showed that during the formation of STAM for words,
there is a maximum of complexity in the range of 600-800 ms during retention period. In
forming STAM for nonwords, maximum of complexity occurs earlier than for words, in the
range of 200-600ms with cyclic repetition of the complexity increase and decrease towards the
end of the retention period..
Analysis of pollutant emissions of a lorry for different EURO standards and operating conditions
Environmental pollution is becoming an increasingly important problem that needs to be solved, and road vehicles contribution in that pollution is significant. In that sense, in this paper, a brief overview of models used to determine pollutant emissions is given, and then the environmental pollution of an actual lorry with a maximum permissible mass of up to 7.5 t is specifically considered. While determining pollutant emissions different Euro standards, average vehicle speeds, payload utilizations and longitudinal road slopes were taken into account. Emissions of carbon monoxide (CO), nitrogen oxides (NOx) and particulate matter (PM) were observed in detail in this paper
The LRP1 gene polymorphism is associated with increased risk of metabolic syndrome prevalence in the Serbian population
The determination of genetic background in metabolic syndrome (MetS) represents one of the necessary steps to prevent the disorder, thus reducing the cost of medical treatments and helping to design targeted therapy. The study explores the association between individual alleles of the LRP1 gene and the diagnosis of MetS to find correlation between the low-density lipoprotein receptor-related (LRP1) gene polymorphism and each individual anthropometric and biochemical parameter. The study included 93 males and females, aged from 19 to 65, divided into two groups. The genotype of each person was determined from the restriction fragment length polymorphism-polymerase chain reaction (RFLP-PCR) profile. Results indicated the association of the T allele form of exon 3 LRP1 gene with development and progression of MetS that further pointed out its negative impact on tested anthropometric and biochemical parameters. The presence of the T allele in patients multiplies the chance of occurrence of deviations from the reference values of body mass index (BMI), (4.24-fold) and low-density lipoprotein (LDL) (20.26-fold) compared to C allele carriers. The results showed that T allele presence multiplies the chance (4.76 fold) for the occurrence of MetS in comparison to C allele carriers. Correlation found that the T allele of the LRP1 gene with MetS determinants is not negligible, therefore, the T allele may be considered as a risk factor for MetS development