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Journal articles on the topic 'Multivariate pattern analyses'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Christophel, Thomas B. "Distributed Visual Working Memory Stores Revealed by Multivariate Pattern Analyses." Journal of Vision 15, no. 12 (2015): 1407. http://dx.doi.org/10.1167/15.12.1407.

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D’Souza, Ninoshka J., Katherine Downing, Gavin Abbott, et al. "A comparison of children’s diet and movement behaviour patterns derived from three unsupervised multivariate methods." PLOS ONE 16, no. 7 (2021): e0255203. http://dx.doi.org/10.1371/journal.pone.0255203.

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Background Behavioural patterns are typically derived using unsupervised multivariate methods such as principal component analysis (PCA), latent profile analysis (LPA) and cluster analysis (CA). Comparability and congruence between the patterns derived from these methods has not been previously investigated, thus it’s unclear whether patterns from studies using different methods are directly comparable. This study aimed to compare behavioural patterns derived across diet, physical activity, sedentary behaviour and sleep domains, using PCA, LPA and CA in a single dataset. Methods Parent-report

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Shinkareva, Svetlana V., Jing Wang, and Douglas H. Wedell. "Examining Similarity Structure: Multidimensional Scaling and Related Approaches in Neuroimaging." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/796183.

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This paper covers similarity analyses, a subset of multivariate pattern analysis techniques that are based on similarity spaces defined by multivariate patterns. These techniques offer several advantages and complement other methods for brain data analyses, as they allow for comparison of representational structure across individuals, brain regions, and data acquisition methods. Particular attention is paid to multidimensional scaling and related approaches that yield spatial representations or provide methods for characterizing individual differences. We highlight unique contributions of thes

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Jang, Yong-ho, Sunghoon Park, Young Uk Park, Kyu-Sung Kwack, Seong Woo Jeon, and Hyun Young Lee. "Multivariate analyses of MRI findings for predicting osteomyelitis of the foot in diabetic patients." Acta Radiologica 61, no. 9 (2020): 1205–12. http://dx.doi.org/10.1177/0284185119897351.

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Background There have been no previous magnetic resonance imaging (MRI) studies using multivariable analysis to diagnose osteomyelitis in patients with diabetic foot. Purpose To retrospectively investigate the MRI findings of osteomyelitis in patients with diabetic foot using multivariate analyses. Material and Methods From November 2015 to March 2018, 118 patients who underwent MRI of the foot to evaluate suspected osteomyelitis were included in this study. The patients were categorized into the presence or absence of osteomyelitis. The primary and secondary MRI findings were retrospectively

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Zafar, Raheel, Nidal Kamel, Mohamad Naufal, et al. "Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network." Journal of Integrative Neuroscience 16, no. 3 (2018): 275–89. http://dx.doi.org/10.3233/jin-170016.

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Ninness, Chris, Marilyn Rumph, Logan Clary, et al. "Neural Network and Multivariate Analyses: Pattern Recognition in Academic and Social Research." Behavior and Social Issues 22, no. 1 (2013): 49–63. http://dx.doi.org/10.5210/bsi.v22i0.4450.

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Rouger, J., I. Charest, F. De Martino, E. Formisano, and P. Belin. "Multivariate pattern analyses of functional MR imaging of the voice neural network." NeuroImage 47 (July 2009): S101. http://dx.doi.org/10.1016/s1053-8119(09)70873-0.

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Nieto-Castanon, Alfonso. "Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)." PLOS Computational Biology 18, no. 11 (2022): e1010634. http://dx.doi.org/10.1371/journal.pcbi.1010634.

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Current functional Magnetic Resonance Imaging technology is able to resolve billions of individual functional connections characterizing the human connectome. Classical statistical inferential procedures attempting to make valid inferences across this many measures from a reduced set of observations and from a limited number of subjects can be severely underpowered for any but the largest effect sizes. This manuscript discusses fc-MVPA (functional connectivity Multivariate Pattern Analysis), a novel method using multivariate pattern analysis techniques in the context of brain-wide connectome i

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O'Toole, Alice J., Fang Jiang, Hervé Abdi, Nils Pénard, Joseph P. Dunlop, and Marc A. Parent. "Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data." Journal of Cognitive Neuroscience 19, no. 11 (2007): 1735–52. http://dx.doi.org/10.1162/jocn.2007.19.11.1735.

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The goal of pattern-based classification of functional neuroimaging data is to link individual brain activation patterns to the experimental conditions experienced during the scans. These “brain-reading” analyses advance functional neuroimaging on three fronts. From a technical standpoint, pattern-based classifiers overcome fatal f laws in the status quo inferential and exploratory multivariate approaches by combining pattern-based analyses with a direct link to experimental variables. In theoretical terms, the results that emerge from pattern-based classifiers can offer insight into the natur

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Bookwala, Jamila, Irene H. Frieze, Christine Smith, and Kathryn Ryan. "Predictors of Dating Violence: A Multivariate Analysis." Violence and Victims 7, no. 4 (1992): 297–311. http://dx.doi.org/10.1891/0886-6708.7.4.297.

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A multivariate approach was used to determine the pattern of predictors associated with engaging in dating violence. Predictors were selected whose relationship to dating violence has been established by earlier research: attitudes toward violence, sex-role attitudes, romantic jealousy, general levels of interpersonal aggression, verbal aggression, and verbal and physical aggression received from one’s partner. Participants included 305 introductory psychology student volunteers (227 females and 78 males) who completed a set of scales related to dating relationships. Expecting different patter

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Aliyu, O. M., and J. A. Awopetu. "Multivariate Analysis of Cashew (Anacardium occidentale L.) Germplasm in Nigeria." Silvae Genetica 56, no. 1-6 (2007): 170–79. http://dx.doi.org/10.1515/sg-2007-0026.

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Abstract Multivariate analyses were carried out on fifty-nine germplasm accessions of cashew derived from both local and exotic populations established at the research plots of Cocoa Research Institute of Nigeria (CRIN), Ibadan, southwestern Nigeria, to assess the extent of variability and pattern of genetic diversity among these cashew populations. Data collected on 36 quantitative and 33 qualitative plant characters were subjected to taximetric tools of Euclidean distance of complete linkage (furthest neighbour) and principal component analysis (PCA). The multivariate analyses tentatively gr

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Davis, Jerrold I. "Genetic and environmental contributions to multivariate morphological pattern in Puccinellia (Poaceae)." Canadian Journal of Botany 66, no. 12 (1988): 2436–44. http://dx.doi.org/10.1139/b88-331.

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The contributions of genetic and environmental variation to multivariate patterns in morphology were investigated in a comparative analysis of two samples of plants representing the Puccinellia nuttalliana complex (Poaceae). The first sample is a series of individuals (genotypes) collected live, vegetatively divided, and grown under controlled environmental conditions. Phenotypic variation in this sample, in individual characters and in multivariate factors, can be apportioned between genetic (among genotype) and environmental (among treatment) causes. The second sample consists of field-colle

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Varanasi, Sravya. "Gaussian Modeling of Chemical Isotope Patterns for Machine Learning Applications." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1400–1406. https://doi.org/10.22214/ijraset.2025.72395.

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Chemical isotope patterns provide crucial molecular fingerprints in mass spectrometry, yet their discrete nature limits integration with modern machine learning frameworks. While research has shown the importance of isotope patterns for compound identification, little attention has been paid to developing continuous representations suitable for computational analysis. This article examines if a relationship exists between Gaussian modeling parameters and information preservation in isotope pattern transformation, and if any such relationship can be attributed to molecular characteristics or me

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Kato, Terufumi, Fumikazu Sakai, Tomohisa Baba, et al. "Nivolumab-induced interstitial lung disease (ILD) in Japanese patients with non-small cell lung cancer: A study on risk factors for fatal outcome." Journal of Clinical Oncology 35, no. 15_suppl (2017): 9077. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.9077.

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9077 Background: We investigated case reports of nivolumab-induced ILD in patients with non-small cell lung cancer to identify risk factors for poor prognosis of ILD. Methods: Among data obtained during post-marketing surveillance of nivolumab, case reports of ILD with detailed clinical course and chest imaging (CT) findings were assessed by the ILD Expert Review Committee, which consists of respiratory medicine specialists and expert chest radiologists. The imaging findings were examined and classified into those with typical or atypical patterns. Atypical patterns included shadows limited to

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Crespo, Eduardo, Luís Vicente, and Paulo Sá-Sousa. "Morphological variability of Podarcis hispanica (Sauria: Lacertidae) in Portugal." Amphibia-Reptilia 23, no. 1 (2002): 55–69. http://dx.doi.org/10.1163/156853802320877627.

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AbstractA total of 35 morphological characters (biometry, scalation, chromatic pattern) were studied through multivariate analyses on 10 populations sampled across the range of the Iberian wall lizard (Podarcis hispanica) in Portugal. Biometry clearly splits the samples into two different types. Differences in scalation between the two types were not clear, but multiple correspondence analyses showed that different chromatic patterns fit each of the types: one presented dark dorsal patterns (e.g. reticulated, eyeled, striped) and whitish-pearly belly, while the other showed green or yellow-bro

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SPEECE, DEBORAH L., FROMA P. ROTH, DAVID H. COOPER, and SUSAN DE LA PAZ. "The relevance of oral language skills to early literacy: A multivariate analysis." Applied Psycholinguistics 20, no. 2 (1999): 167–90. http://dx.doi.org/10.1017/s0142716499002015.

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This study examined relationships between oral language and literacy in a two-year, multivariate design. Through empirical cluster analysis of a sample of 88 kindergarten children, four oral language subtypes were identified based on measures of semantics, syntax, metalinguistics, and oral narration. Validation efforts included (a) concurrent and predictive analyses of subtype differences on reading, spelling, and listening comprehension measures based on a priori hypotheses and (b) a comparison of the teacher classification of the children with the empirical classification. The subtypes repre

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Parker, G., G. Parker, Gin Malhi, et al. "Self-Harming in Depressed Patients: Pattern Analysis." Australian & New Zealand Journal of Psychiatry 39, no. 10 (2005): 899–906. http://dx.doi.org/10.1080/j.1440-1614.2005.01662.x.

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Objective: As deliberate self-harm (DSH) is a common concomitant of depressive disorders, we undertook a study examining the relevance of possible determinants and correlates of DSH. Method: Three separate samples of depressed outpatients were studied to determine consistency of identified factors across samples, with principal analyses involving gender, age and diagnosis-matched DSH and non-DSH subjects. Results: Across the samples, some 20% of subjects admitted to episodes of DSH. Women reported higher rates and there was a consistent trend for higher rates in bipolar patients. Univariate an

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Blair, Christopher, Ryan Mruczek, and Gideon Caplovitz. "Decoding the neural representation of size using multivariate pattern analyses and high density electroencephalography." Journal of Vision 15, no. 12 (2015): 579. http://dx.doi.org/10.1167/15.12.579.

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Zhang, Qifa, M. A. Saghai Maroof, and R. W. Allard. "Worldwide pattern of multilocus structure in barley determined by discrete log-linear multivariate analyses." Theoretical and Applied Genetics 80, no. 1 (1990): 121–28. http://dx.doi.org/10.1007/bf00224025.

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REILLY, S. M., and G. V. LAUDER. "Physiological Bases of Feeding Behaviour in Salamanders: Do Motor Patterns Vary with Prey Type?" Journal of Experimental Biology 141, no. 1 (1989): 343–58. http://dx.doi.org/10.1242/jeb.141.1.343.

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Muscle activity patterns (motor patterns) of the jaw musculature of all vertebrates studied to date (primarily fishes and amniotes) vary considerably when they feed on different types of prey. Previous data on buccal pressure patterns suggested that feeding in the aquatic salamander Ambystoma mexicanum (Shaw), is highly stereotyped. This hypothesis was tested by quantifying the motor pattern used during feeding on two prey types: earthworms and guppies. Twenty-nine variables were measured from the activity pattern of six cranial muscles in the feeding mechanism of Ambystoma mexicanum. These va

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Baumgart, Cristina da Silva, Natália Batista Daroit, Bruna Jalfim Maraschin, Alex Haas, Fernanda Visioli, and Pantelis Varvaki Rados. "Influence of factors in the oral mucosa maturation pattern: a cross-sectional study applying multivariate analyses." Brazilian Journal of Oral Sciences 15, no. 1 (2016): 27. http://dx.doi.org/10.20396/bjos.v15i1.8647094.

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Aim: To evaluate the association between oral health status, socio-demographic and behavioral factors with the pattern of maturity of normal epithelial oral mucosa. Methods: Exfoliative cytology specimens were collected from 117 men from the border of the tongue and floor of the mouth on opposite sides. Cells were stained with the Papanicolaou method and classified into: anucleated, superficial cells with nuclei, intermediate and parabasal cells. Quantification was made by selecting the first 100 cells in each glass slide. Sociodemographic and behavioral variables were collected from a structu

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Tang, Yongqiang. "A monotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions." Statistical Methods in Medical Research 29, no. 6 (2019): 1542–62. http://dx.doi.org/10.1177/0962280219865579.

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The mixed effects model for repeated measures has been widely used for the analysis of longitudinal clinical data collected at a number of fixed time points. We propose a robust extension of the mixed effects model for repeated measures for skewed and heavy-tailed data on basis of the multivariate skew-t distribution, and it includes the multivariate normal, t, and skew-normal distributions as special cases. An efficient Markov chain Monte Carlo algorithm is developed using the monotone data augmentation and parameter expansion techniques. We employ the algorithm to perform controlled pattern

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White, R. J., and L. Winokur. "Quantitative description and discrimination of butterfly wing patterns using moment invariant analysis." Bulletin of Entomological Research 93, no. 4 (2003): 361–76. http://dx.doi.org/10.1079/ber2003242.

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AbstractStudies examining and using pattern variation in insects for identification and characterization of individuals and populations have been limited by the methods available for quantifying wing patterns objectively. In this paper, differences in wing pattern are demonstrated statistically using moment invariant data sets generated automatically from digitized images of the speckled wood butterfly, Pararge aegeria (Linnaeus). Studies with other biological subjects have already shown moment invariants to work well with outline shapes and silhouettes. A pilot study with replicated monochrom

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Zhu, Ruida, Chunliang Feng, Shen Zhang, Xiaoqin Mai, and Chao Liu. "Differentiating guilt and shame in an interpersonal context with univariate activation and multivariate pattern analyses." NeuroImage 186 (February 2019): 476–86. http://dx.doi.org/10.1016/j.neuroimage.2018.11.012.

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Koen, Joshua D., and Michael D. Rugg. "Memory Reactivation Predicts Resistance to Retroactive Interference: Evidence from Multivariate Classification and Pattern Similarity Analyses." Journal of Neuroscience 36, no. 15 (2016): 4389–99. http://dx.doi.org/10.1523/jneurosci.4099-15.2016.

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Wang, Diqing, Zhengfei He, Sihua Chen, and Jianlin Du. "The Relationship between Abnormal Circadian Blood Pressure Rhythm and Risk of Readmission in Patients with Heart Failure with Preserved Ejection Fraction." Cardiovascular Innovations and Applications 5, no. 4 (2021): 275–82. http://dx.doi.org/10.15212/cvia.2021.0014.

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Objective: Abnormal circadian blood pressure rhythm has been revealed to be associated with hypertensive target organ damage and cardiovascular events, but its association with readmission risk in patients with heart failure with preserved ejection fraction (HFpEF) remains unknown. We conducted a retrospective study to explore the relationship between circadian blood pressure rhythm and readmission risk in HFpEF patients.Methods: We retrospectively collected baseline and follow-up data on HFpEF patients who underwent ambulatory blood pressure monitoring (ABPM) from May 2015 to October 2019. Pa

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Casarrubea, Maurizio, Giuseppe Di Giovanni, and Giuseppe Crescimanno. "Effects of Different Anxiety Levels on the Behavioral Patternings Investigated through T-pattern Analysis in Wistar Rats Tested in the Hole-Board Apparatus." Brain Sciences 11, no. 6 (2021): 714. http://dx.doi.org/10.3390/brainsci11060714.

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The Hole-Board is an ethologically based tool for investigating the anxiety-related behavior of rats following manipulation of the central anxiety level. The present paper aims to assess behavioral patterning following pharmacological manipulation of emotional assets in Wistar rats tested in this experimental apparatus. For this purpose, the behavior of three groups of rats injected with saline, diazepam or FG7142 was evaluated using conventional quantitative and multivariate T-pattern analyses. The results demonstrate that quantitative analyses of individual components of the behavior, disjoi

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Ford, Kathleen, and Sandra Huffman. "Nutrition, infant feeding and post-partum amenorrhoea in rural Bangladesh." Journal of Biosocial Science 20, no. 4 (1988): 461–69. http://dx.doi.org/10.1017/s0021932000017582.

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SummaryThe duration of amenorrhoea among a group of chronically malnourished women in a rural area of Bangladesh is examined by application of multivariate hazard models with time-varying covariates, including the influence of maternal nutrition, seasonality and patterns of infant feeding. Both maternal weight at pregnancy termination and the pattern of infant feeding affected the length of post-partum amenorrhoea. Analyses focused on season of birth showed the importance of differences by education in infant feeding.

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Chen, Xiao Qian, Qingxiang Zheng, Yan Ping Liao, et al. "Association between plant-based or animal-based dietary pattern and plasma glucose during oral glucose tolerance test among Chinese women with gestational diabetes mellitus: a prospective cohort study." BMJ Open 13, no. 10 (2023): e075484. http://dx.doi.org/10.1136/bmjopen-2023-075484.

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ObjectiveThis study explored whether plant-based and animal-based dietary patterns are associated with plasma glucose levels during oral glucose tolerance test in women with gestational diabetes mellitus (GDM).DesignA prospective cohort study was conducted using a Food Frequency Questionnaire to collect dietary data. Dietary patterns were derived using principal component analysis. Multivariate logistic regression analysis was performed to explore the association between dietary patterns and plasma glucose levels. Stratified analyses were conducted according to maternal age, prepregnancy body

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Boik, Robert J. "Analysis of Repeated Measures Under Second-Stage Sphericity: An Empirical Bayes Approach." Journal of Educational and Behavioral Statistics 22, no. 2 (1997): 155–92. http://dx.doi.org/10.3102/10769986022002155.

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The conventional multivariate analysis of repeated measures is applicable in a wide variety of circumstances, in part, because assumptions regarding the pattern of covariances among the repeated measures are not required. If sample sizes are small, however, then the estimators of the covariance parameters lack precision and, as a result, the power of the multivariate analysis is low. If the covariance matrix associated with estimators of orthogonal contrasts is spherical, then the conventional univariate analysis of repeated measures is applicable and has greater power than the multivariate an

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Ayala, Ana María, Noelia Soledad Vera, Marina Beatriz Chiappero, Walter Ricardo Almirón, and Cristina Noemí Gardenal. "Urban Populations of Aedes aegypti (Diptera: Culicidae) From Central Argentina: Dispersal Patterns Assessed by Bayesian and Multivariate Methods." Journal of Medical Entomology 57, no. 4 (2020): 1069–76. http://dx.doi.org/10.1093/jme/tjaa017.

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Abstract Aedes aegypti (L.), the main vector of dengue and other arboviruses, was declared eradicated from Argentina in 1964; however, in 1987, it was detected again and nowadays it occurs in most of the country territory. To understand the transmission of vector-borne diseases, knowledge of the dispersal of vector populations is essential to evaluate the risk of pathogen transmission. We conducted a population genetic analysis of Ae. aegypti in 20 neighborhoods from Córdoba, the second largest city in Argentina, using 10 microsatellite loci. High genetic differentiation and the absence of an

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Zhang, Yifeng, Hui Tan, Xuan Dai, Honger Huang, and Gengsheng He. "Dietary patterns are associated with weight gain in newlyweds: findings from a cross-sectional study in Shanghai, China." Public Health Nutrition 15, no. 5 (2011): 876–84. http://dx.doi.org/10.1017/s1368980011002692.

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AbstractObjectiveThe present study aimed to characterize the dietary patterns of newlyweds married within one year and to examine the factors associated with weight changes.DesignA cross-sectional study was carried out in 2009.SettingBaoshan District, Shanghai, China.SubjectsA total of 342 pairs of newlyweds were recruited at their first visit. Weight and height were measured and food intake was measured based on an FFQ with forty-nine items. Dietary patterns were identified through factor analysis, and the factors associated with weight changes were determined by multiple regression models.Re

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Kazmaier, Richard T., Eric C. Hellgren, and David R. Synatzske. "Patterns of behavior in the Texas tortoise, Gopherus berlandieri: a multivariate ordination approach." Canadian Journal of Zoology 79, no. 8 (2001): 1363–71. http://dx.doi.org/10.1139/z01-092.

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We compared the distribution of 19 categories of behavior exhibited by 47 adult Texas tortoises (Gopherus berlandieri) over 3 years with the use of detrended correspondence analysis (DCA) and canonical correspondence analysis (CCA). DCA revealed a gradient from passive to active behavior along axis 1. Tortoises were more active in 1994 and less active in 1996. This pattern was likely due to the extremely hot and dry conditions in 1996. Year was the most significant variable explaining variability in behavior when sex, age, size, year, and grazing treatment (pastures grazed versus ungrazed by c

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Arbour, Jessica H., Carmen G. Montaña, Kirk O. Winemiller, et al. "Macroevolutionary analyses indicate that repeated adaptive shifts towards predatory diets affect functional diversity in Neotropical cichlids." Biological Journal of the Linnean Society 129, no. 4 (2020): 844–61. http://dx.doi.org/10.1093/biolinnean/blaa001.

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Abstract During adaptive radiation, diversification within clades is limited by adaptation to the available ecological niches, and this may drive patterns of both trait and species diversity. However, adaptation to disparate niches may result in varied impacts on the timing, pattern and rate of morphological evolution. In this study, we examined the relationship between feeding ecology and functional diversification across a diverse clade of freshwater fishes, the Neotropical cichlids. Species dietary niches were ordinated via multivariate analysis of stomach content data. We investigated chan

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Arvanitidis, Christos, Paul John Somerfield, Georgios Chatzigeorgiou, Sofia Reizopoulou, Theodoros Kevrekidis, and Anastasios Eleftheriou. "Do multivariate analyses incorporating changes in pattern across taxonomic levels reveal anthropogenic stress in Mediterranean lagoons?" Journal of Experimental Marine Biology and Ecology 369, no. 2 (2009): 100–109. http://dx.doi.org/10.1016/j.jembe.2008.10.032.

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Delaye, Jean-Baptiste, Franck Patin, Emmanuelle Lagrue, et al. "Post hoc analysis of plasma amino acid profiles: towards a specific pattern in autism spectrum disorder and intellectual disability." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 55, no. 5 (2018): 543–52. http://dx.doi.org/10.1177/0004563218760351.

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Objectives Autism spectrum disorders and intellectual disability present a challenge for therapeutic and dietary management. We performed a re-analysis of plasma amino acid chromatography of children with autism spectrum disorders ( n = 22) or intellectual disability ( n = 29) to search for a metabolic signature that can distinguish individuals with these disorders from controls ( n = 30). Methods We performed univariate and multivariate analyses using different machine learning strategies, from the raw data of the amino acid chromatography. Finally, we analysed the metabolic pathways associat

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Hand, S., and A. York. "Morphological Variation in the Dentition and Skull of the Australian Ghost Bat, Macroderma-Gigas (Microchiroptera, Megadermatidae)." Australian Journal of Zoology 38, no. 3 (1990): 263. http://dx.doi.org/10.1071/zo9900263.

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Morphological variation in the dentition and some cranial characters of the Australian ghost bat, Macroderma gigas, is reviewed by means of univariate and multivariate analyses. Specimens examined are drawn from existing populations across northern Australia; also included for parts of this study are mummified remains from southern central South Australia and late Pleistocene subfossil specimens from south-western Western Australia. No clear-cut geographic pattern in morphological variation in M. gigas is indicated by multivariate anlysis (i.e. principal components analysis), although there is

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Cline, Trevor L., Francesca Morfini, Emma Tinney, et al. "Resting-State Functional Connectivity Change in Frontoparietal and Default Mode Networks After Acute Exercise in Youth." Brain Plasticity 9, no. 1-2 (2024): 5–20. http://dx.doi.org/10.3233/bpl-240003.

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BACKGROUND: A single bout of aerobic exercise can provide acute benefits to cognition and emotion in children. Yet, little is known about how acute exercise may impact children’s underlying brain networks’ resting-state functional connectivity (rsFC). OBJECTIVE: Using a data-driven multivariate pattern analysis, we investigated the effects of a single dose of exercise on acute rsFC changes in 9-to-13-year-olds. METHODS: On separate days in a crossover design, participants (N = 21) completed 20-mins of acute treadmill walking at 65–75% heart rate maximum (exercise condition) and seated reading

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Ahamed, Nizam U., Lauren C. Benson, Christian A. Clermont, Andrew J. Pohl, and Reed Ferber. "New Considerations for Collecting Biomechanical Data Using Wearable Sensors: How Does Inclination Influence the Number of Runs Needed to Determine a Stable Running Gait Pattern?" Sensors 19, no. 11 (2019): 2516. http://dx.doi.org/10.3390/s19112516.

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As inertial measurement units (IMUs) are used to capture gait data in real-world environments, guidelines are required in order to determine a ‘typical’ or ‘stable’ gait pattern across multiple days of data collection. Since uphill and downhill running can greatly affect the biomechanics of running gait, this study sought to determine the number of runs needed to establish a stable running pattern during level, downhill, and uphill conditions for both univariate and multivariate analyses of running biomechanical data collected using a single wearable IMU device. Pelvic drop, ground contact tim

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McGettigan, Carolyn, Samuel Evans, Stuart Rosen, Zarinah K. Agnew, Poonam Shah, and Sophie K. Scott. "An Application of Univariate and Multivariate Approaches in fMRI to Quantifying the Hemispheric Lateralization of Acoustic and Linguistic Processes." Journal of Cognitive Neuroscience 24, no. 3 (2012): 636–52. http://dx.doi.org/10.1162/jocn_a_00161.

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The question of hemispheric lateralization of neural processes is one that is pertinent to a range of subdisciplines of cognitive neuroscience. Language is often assumed to be left-lateralized in the human brain, but there has been a long running debate about the underlying reasons for this. We addressed this problem with fMRI by identifying the neural responses to amplitude and spectral modulations in speech and how these interact with speech intelligibility to test previous claims for hemispheric asymmetries in acoustic and linguistic processes in speech perception. We used both univariate a

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Bourguignon, Nicolas J., Senne Braem, Egbert Hartstra, Jan De Houwer, and Marcel Brass. "Encoding of Novel Verbal Instructions for Prospective Action in the Lateral Prefrontal Cortex: Evidence from Univariate and Multivariate Functional Magnetic Resonance Imaging Analysis." Journal of Cognitive Neuroscience 30, no. 8 (2018): 1170–84. http://dx.doi.org/10.1162/jocn_a_01270.

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Verbal instructions are central to humans' capacity to learn new behaviors with minimal training, but the neurocognitive mechanisms involved in verbally instructed behaviors remain puzzling. Recent functional magnetic resonance imaging (fMRI) evidence suggests that the right middle frontal gyrus and dorsal premotor cortex (rMFG-dPMC) supports the translation of symbolic stimulus–response mappings into sensorimotor representations. Here, we set out to (1) replicate this finding, (2) investigate whether this region's involvement is specific to novel (vs. trained) instructions, and (3) study whet

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Coca-Ortega, Carlos, and Juan Antonio Pérez-Claros. "Characterizing ecomorphological patterns in hyenids: a multivariate approach using postcanine dentition." PeerJ 6 (January 11, 2019): e6238. http://dx.doi.org/10.7717/peerj.6238.

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We analyze the multivariate pattern of lower and upper cheek dentition for the family Hyaenidae along its evolutionary history. A total of 11,698 individual measurements of lengths and widths for the main postcanine teeth were collected for 54 extinct and three extant species of this family and analyzed by means of principal component analyses. Our results indicate that the functional aspects are better reflected by lower cheek dentition as a result of mosaic evolution. The multivariate structure captured by the three first principal components correspond to different adaptive strategies. The

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Nikolić, Danijela, Milena Veličković, Irena Raca, Gocić Dragana Jenačković, Marina Jušković, and Vladimir Ranđelović. "Morphometric analysis of vegetative and reproductive organs of the Fragaria species." Biologica Nyssana 10, no. 1 (2019): 9–16. https://doi.org/10.5281/zenodo.3463982.

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This paper presents results of a study on morphological variability of Fragaria vesca, F. moschata and F. viridis populations collected in their natural habitats in Serbia, Macedonia and Montenegro. The goals of the study were to determine the degree of morphological variability as well as the morphological characters with the most significant impact on differentiation of these species. The morphometric study was carried out on 7 populations (142 individuals x 19 morphological characters). Analyses included standard univariate (Descriptive, ANOVA) and multivariate (Principal Component Analysis

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Lee, Andy C. H., Kay H. Brodersen, and Sarah R. Rudebeck. "Disentangling Spatial Perception and Spatial Memory in the Hippocampus: A Univariate and Multivariate Pattern Analysis fMRI Study." Journal of Cognitive Neuroscience 25, no. 4 (2013): 534–46. http://dx.doi.org/10.1162/jocn_a_00301.

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Although the role of the hippocampus in spatial cognition is well accepted, it is unclear whether its involvement is restricted to the mnemonic domain or also extends to perception. We used fMRI to scan neurologically healthy participants during a scene oddity judgment task that placed no explicit demand on long-term memory. Crucially, a surprise recognition test was administered after scanning so that each trial could be categorized not only according to oddity accuracy but also according to subsequent memory. Univariate analyses showed significant hippocampal activity in association with cor

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Sasada, Takafumi, Chikara Iino, Satoshi Sato, et al. "The Impact of Japanese Dietary Patterns on Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver Fibrosis." Nutrients 16, no. 17 (2024): 2877. http://dx.doi.org/10.3390/nu16172877.

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This study aimed to investigate the effect of Japanese dietary patterns on metabolic dysfunction-associated steatotic liver disease (MASLD) and liver fibrosis. After excluding factors affecting the diagnosis of hepatic steatosis, 727 adults were analyzed as part of the Health Promotion Project. The dietary patterns of the participants were classified into rice, vegetable, seafood, and sweet based on their daily food intake. Liver stiffness measurements and controlled attenuation parameters were performed using FibroScan. Energy and nutrient intake were calculated using the Brief-type Self-admi

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Udensi, Ogbuagu, and Ndem Edu. "Evaluation and Identification of Genetic Variation Pattern in Cowpea [Vigna unguiculata (L.) Walp] Accessions Using Multivariate Analyses." Journal of Basic & Applied Sciences 11 (February 27, 2015): 149–58. http://dx.doi.org/10.6000/1927-5129.2015.11.22.

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Fu, Qichang, Yuting Wang, Yi Zhang, et al. "Qualitative and Quantitative Wall Enhancement on Magnetic Resonance Imaging Is Associated With Symptoms of Unruptured Intracranial Aneurysms." Stroke 52, no. 1 (2021): 213–22. http://dx.doi.org/10.1161/strokeaha.120.029685.

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Background and Purpose: Aneurysmal wall enhancement (AWE) on vessel wall magnetic resonance imaging (VW-MRI) has been described as a new imaging biomarker of unstable unruptured intracranial aneurysms (UIAs). Previous studies of symptomatic UIAs are limited due to small sample sizes and lack of AWE quantification. Our study aims to investigate whether qualitative and quantitative assessment of AWE can differentiate symptomatic and asymptomatic UIAs. Methods: Consecutive patients with UIAs were prospectively recruited for vessel wall magnetic resonance imaging at 3T from October 2014 to October

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Koloff, Zachary Benjamin, Daniel A. Hamstra, John Thomas Wei, et al. "Impact of tertiary Gleason pattern 5 on prostate cancer aggressiveness: Lessons from a contemporary single institution radical prostatectomy series." Journal of Clinical Oncology 32, no. 4_suppl (2014): 15. http://dx.doi.org/10.1200/jco.2014.32.4_suppl.15.

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15 Background: This retrospective study was conducted to better evaluate the impact of tertiary Gleason pattern 5 (TP5) on tumor pathological features and biochemical recurrence following radical prostatectomy (RP). Methods: We retrospectively reviewed 1,965 patients who underwent RP for clinically localized prostate cancer; TP5 was reported in 159 cases (8.1%). Men with Gleason score (GS) 7 and GS 8 disease were divided into two subgroups, with and without TP5, and histopathologic features were compared. Multivariate analyses and Kaplan-Meier curves were conducted to assess the impact on TP5

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Vepsäläinen, Henna, Liisa Korkalo, Vera Mikkilä, et al. "Dietary patterns and their associations with home food availability among Finnish pre-school children: a cross-sectional study." Public Health Nutrition 21, no. 7 (2018): 1232–42. http://dx.doi.org/10.1017/s1368980017003871.

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AbstractObjectiveTo study the associations between home food availability and dietary patterns among pre-school children.DesignCross-sectional study in which parents of the participating children filled in an FFQ and reported how often they had certain foods in their homes. We derived dietary pattern scores using principal component analysis, and composite scores describing the availability of fruits and vegetables as well as sugar-enriched foods in the home were created for each participant. We used multilevel models to investigate the associations between availability and dietary pattern sco

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Doi, Hirokazu. "Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face." Applied Sciences 12, no. 24 (2022): 13007. http://dx.doi.org/10.3390/app122413007.

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Representation of self-face is vulnerable to cognitive bias, and consequently, people often possess a distorted image of self-face. The present study sought to investigate the neural mechanism underlying distortion of self-face representation by measuring event-related potentials (ERPs) elicited by actual, aesthetically enhanced, and degraded images of self-face. In addition to conventional analysis of ERP amplitude and global field power, multivariate analysis based on machine learning of single trial data were integrated into the ERP analysis. The multivariate analysis revealed differential

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