Scaling Region of Weierstrass-Mandelbrot Function: Improvement Strategies for Fractal Ideality and Signal Simulation DOI Creative Commons
Feng Feng,

Kexin Zhang,

Xinghui Li

et al.

Fractal and Fractional, Journal Year: 2022, Volume and Issue: 6(10), P. 542 - 542

Published: Sept. 26, 2022

Fractal dimension (D) is widely utilized in various fields to quantify the complexity of signals and other features. However, fractal nature limited a certain scope concerned scales, i.e., scaling region, even for theoretically profile generated through Weierstrass-Mandelbrot (W-M) function. In this study, characteristics curves profiles were calculated by using roughness extraction (RSE) algorithm, an interception method was proposed locate two ends which named corner drop phenomena, respectively. The results indicated that factors, sampling length flattening order, RSE algorithm could influence region significantly. Based on above findings, optimized improve accuracy D calculation, discussed comparing lower critical condition W-M To ideality function, strategy reducing fundamental frequency enlarge region. Moreover, opposite operation also consistency with actual signals, be conducive practical simulations.

Language: Английский

Brain Dynamics Complexity as a Signature of Cognitive Decline in Parkinson's Disease DOI Creative Commons
Eleonora Fiorenzato, Sadaf Moaveninejad, Luca Weis

et al.

Movement Disorders, Journal Year: 2023, Volume and Issue: 39(2), P. 305 - 317

Published: Dec. 6, 2023

Abstract Background Higuchi's fractal dimension (FD) captures brain dynamics complexity and may be a promising method to analyze resting‐state functional magnetic resonance imaging (fMRI) data detect the neuronal interaction underlying Parkinson's disease (PD) cognitive decline. Objectives The aim was compare FD with more established index of spontaneous neural activity, fractional amplitude low‐frequency fluctuations (fALFF), identify through machine learning (ML) models which could best distinguish across PD‐cognitive states, ranging from normal cognition (PD‐NC), mild impairment (PD‐MCI) dementia (PDD). Finally, explore correlations between fALFF clinical PD features. Methods Among 118 patients age‐, sex‐, education matched 35 healthy controls, 52 were classified PD‐NC, 46 PD‐MCI, 20 PDD based on an extensive evaluation. metrics computed rs‐fMRI used train ML models. Results outperformed in differentiating reaching overall accuracy 78% (vs. 62%). showed increased within sensorimotor network, central executive network (CEN), default mode (DMN), paralleled by reduction activity CEN DMN, whose strongly linked presence dementia. Further, we found that some DMN critical hubs correlated worse performance severity. Conclusions Our study indicates decline is characterized altered temporal complexity, involving possibly reflecting segregation these networks. Therefore, propose as prognostic biomarker © 2023 Authors. Movement Disorders published Wiley Periodicals LLC behalf International Parkinson Disorder Society.

Language: Английский

Citations

17

Fractal Dimension Analysis in Neurological Disorders: An Overview DOI

Leticia Díaz Beltrán,

Christopher R. Madan, Carsten Finke

et al.

Advances in neurobiology, Journal Year: 2024, Volume and Issue: unknown, P. 313 - 328

Published: Jan. 1, 2024

Language: Английский

Citations

6

Alzheimer’s disease cortical morphological phenotypes are associated with TOMM40′523-APOE haplotypes DOI Creative Commons
Robyn A. Honea, Suzanne Hunt, Rebecca J. Lepping

et al.

Neurobiology of Aging, Journal Year: 2023, Volume and Issue: 132, P. 131 - 144

Published: Sept. 11, 2023

Both the APOE ε4 and TOMM40 rs10524523 ("523") genes have been associated with risk for Alzheimer's disease (AD) neuroimaging biomarkers of AD. No studies investigated relationship TOMM40'523-APOE on structural complexity brain in AD individuals. We quantified morphology multiple cortical attributes individuals mild cognitive impairment (MCI) AD, then tested whether or poly-T genotypes were related to morphological cognitively unimpaired (CU) MCI/AD identified several AD-specific phenotypes found that short alleles are early, differences healthy aging. observed decreased thickness, sulcal depth, fractal dimension CU alleles. Moreover, participants, (TOMM40 L) had a higher rate gene-related markers indicative Our data suggest TOMM40'523 is early structure variations precuneus, temporal, limbic cortices.

Language: Английский

Citations

11

Research on flexible ultrasonic infrared detection of crack defects in irregular metal components DOI
Feng Yang, Fei Wang, Rongcheng Li

et al.

Infrared Physics & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 105755 - 105755

Published: Feb. 1, 2025

Language: Английский

Citations

0

The Impact of Alzheimer's Disease on Cortical Complexity and Its Underlying Biological Mechanisms DOI Creative Commons
Leian Chen, Xiao Zhou, Yanan Qiao

et al.

Brain Research Bulletin, Journal Year: 2025, Volume and Issue: unknown, P. 111320 - 111320

Published: April 1, 2025

Alzheimer's disease (AD) might impact the complexity of cerebral cortex, and underlying biological mechanisms responsible for cortical changes in AD cortex remain unclear. Fifty-eight participants with 67 normal controls underwent high-resolution 3T structural brain MRI. Using surface-based morphometry, we created vertex-wise maps group comparisons terms five measures: thickness, fractal dimension, gyrification index, Toro's index sulcal depth respectively. Five machine learning (ML) models combining morphometry SBM parameters were established to predict AD. In addition, transcription-neuroimaging association analyses, as well Mendelian randomization thickness data, conducted investigate genetic functions patients exhibited topological complexity, increased frontal temporal decreased insula alongside extensive atrophy. Combining different measures could aid diagnosis. The genes involved cell structure support immune response strongest contributors anatomical features patients. identified associated morphology overexpressed or underexpressed excitatory neurons, oligodendrocytes, astrocytes. Complexity alterations surface may be a range processes molecular mechanisms, including responses. present findings contribute more comprehensive understanding morphological patterns

Language: Английский

Citations

0

Study on individual differences in visual working memory tasks based on spatiotemporal brain functional metrics and biological perspectives DOI Creative Commons
Runqun Xiong,

Qiuzhu Zhang,

Junjun Zhang

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121220 - 121220

Published: April 1, 2025

Language: Английский

Citations

0

Microvascular heterogeneity exploration in core and invasive zones of orthotopic rat glioblastoma via ultrasound localization microscopy DOI Creative Commons
Xing Hu, Gaobo Zhang, Yong Wang

et al.

European Radiology Experimental, Journal Year: 2025, Volume and Issue: 9(1)

Published: March 5, 2025

We studied the microvascular structure and function of in situ glioblastoma using ultrasound localization microscopy (ULM). The vivo study was conducted via craniotomy six Sprague-Dawley rats. Capillary pattern, capillary hemodynamics, functional quantitative parameters were compared among tumor core, invasive zone, normal brain tissue with ex micro-computed tomography (micro-CT) scanning electron microscopy. Correlations between histopathological vascular density (VD-H), proliferation index, maturity index (VMI-H) evaluated. Kruskal-Wallis H, ANOVA, Mann-Whitney U, Pearson, Spearman correlation statistics used. Compared to zone exhibited higher microvascularity structural disorder complexity, increased hemodynamic heterogeneity, local blood flow perfusion (p ≤ 0.033), slightly lower average velocity = 0.873). Significant differences observed across all 0.001). ULM demonstrated microstructural resolution micro-CT a nonsignificant difference correlated VD-H (r 0.781, p < Vessel diameter 0.960, 0.001), curvature 0.438, 0.047), 0.487, 0.025), volume 0.858, 0.001) index. Vascular -0.444, 0.044) fractal dimension -0.933, VMI-H. provided high-resolution, noninvasive imaging microvascularity, offering insights into structural/functional abnormalities. technology based on ultrafast can accurately quantify microvessels glioblastoma, providing new method for evaluating effectiveness antiangiogenic therapy visualizing disease progression. This may facilitate early therapeutic assessment. reliably captures structures features Micro-CT validated its non-invasion characterization. is expected effectively evaluate anti-vascular response.

Language: Английский

Citations

0

Sex-specific brain morphological and network differences in patients showing Parkinson's disease with and without possible rapid eye movement sleep behavior disorder DOI Creative Commons
Yang Liu, Pengfei Zhang, Hao Li

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 22, 2025

Sex is a crucial determinant in the clinical manifestations of diseases. However, previous studies have not clarified whether altered brain morphology shows sex-specific patterns patients with Parkinson's disease (PD) or without possible rapid eye movement sleep behavior disorder (RBD). This study aimed to investigate differences morphological changes among different subgroups PD. High-resolution T1-weighted magnetic resonance imaging and scale data were collected from 278 participants Progression Marker Initiative database: 93 PD-pRBD (60 males, 33 females), 114 showing PD RBD (PDnon-pRBD group; 68 46 71 healthy controls (HCs; 44 17 females). The Computational Anatomy Toolbox (CAT) 12 was utilized collect on gray matter volume (GMV) cortical metrics. Subsequently, individual-level similarity networks constructed basis these Finally, topological properties network analyzed using graph theoretical methods. In group, GMV frontal temporal lobes males lower than that females. contrast, gyrification index (GI) lobe females within PDnon-pRBD group. Network analyses based theory revealed male showed information integration female patients, particularly terms global fractal dimension (FD) networks. Moreover, strong correlation between metrics cognitive performance, as measured by Hopkins Verbal Learning Test-Revised (HVLT-R) memory scores. presence more significant sex-related group comparison highlights importance considering diagnosis management PD-pRBD.

Language: Английский

Citations

0

Treatment of Alzheimer's disease by microcapsule regulates neurotransmitter release via microfluidic technology DOI Creative Commons

Weina Yao,

Junyi Che,

Cheng Zhao

et al.

Engineered Regeneration, Journal Year: 2023, Volume and Issue: 4(2), P. 183 - 192

Published: Feb. 25, 2023

Alzheimer's disease (AD) is a progressive neurodegenerative with complex etiology. The main neuropathological feature the accumulation of amyloid-beta (Aβ), and dysregulation cholinergic system well associated its mechanism occurrence, for which no effective treatment yet available. Daily oral administration remains mainstay AD, how to improve efficacy, prolong adsorption medication compliance still focus current solution. We proposed microcapsule based on microfluidic electrospray form an intestinal epithelial lining AD treatment, reducing frequency administration. Microfluidic technology was recruited overcome limitations variability in microencapsulation production process produce functional microcapsules finely adapted chemical composition, capsule thickness encapsulant volume ratio. These could slowly release drugs after adhering intestine, their effectiveness safety were further evaluated using cell culture studies animal model studies. results from vivo vitro experiments showed significant reduction (i.e., daily once every five days), superior therapeutic efficacy sufficient these APP/PS1 mice. features make excellent drug delivery represent great potential clinical applications AD.

Language: Английский

Citations

8

Quantitative characterization of age-related atrophic changes in cerebral hemispheres: A novel “contour smoothing” fractal analysis method DOI Creative Commons
Nataliia Maryenko, Oleksandr Stepanenko

Translational Research in Anatomy, Journal Year: 2023, Volume and Issue: 33, P. 100263 - 100263

Published: Sept. 14, 2023

Quantitatively assessing age-related atrophic changes in cerebral hemispheres remains a crucial challenge, particularly distinguishing between normal and pathological brain atrophy caused by neurodegenerative diseases. In this study, we introduced new fractal analysis algorithm, referred to as the "contour smoothing" method, quantitatively characterize hemispheres. MRI scans from 100 healthy individuals (44 males, 56 females), aged 18–86 (mean age 41.72 ± 1.58), were analyzed. We used two methods: novel method (with stages: 1–6, 1–5, 2–6, 1–4, 2–5) classical "box-counting" assess cortex pial surface contours. Fractal dimensions obtained using showed weak or statistically insignificant correlations with age. Conversely, derived exhibited significant correlations. The 1–4 stages proved more suitable for quantifying changes. average dimension coronal sections was 1.402 0.005 (min 1.266, max 1.490), all five tomographic sections, it 1.415 0.004 1.278, 1.4514). These strongest age: r = −0.709 (p < 0.001) −0.669 0.001), respectively. study can effectively examine detect quantify associated aging. This holds promise clinical application diagnosing disorders, such Alzheimer's disease.

Language: Английский

Citations

7