Suchergebnisse - Dynamic connectivity regression

1

Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI

von: Nalci, Alican

2019transfer abstract, in: Field study of a soft X-ray aerosol neutralizer combined with electrostatic classifiers for nanoparticle size distribution measurements

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2

Dynamic functional–structural coupling within acute functional state change phases: Evidence from a depression recognition study

von: Bi, Kun

2016, in: Urinary epidermal growth factor is a novel biomarker for early diagnosis of antibody mediated kidney allograft rejection: A urinary proteomics analysis

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3

Age-related early/late variations of functional connectivity across the human lifespan

von: Chen, Yuanyuan

2018, in: Neuroradiology

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4

Mixture network autoregressive model with application on students’ successes

von: Tian, Weizhong

2020, in: Frontiers of mathematics in China

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5

Heterogeneous connection effects

von: Wei, Fengrong

2018, in: Third dose of COVID-19 mRNA vaccine appears to overcome vaccine hyporesponsiveness in patients with cirrhosis

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6

A generative model of whole-brain effective connectivity

von: Frässle, Stefan

2018, in: Field study of a soft X-ray aerosol neutralizer combined with electrostatic classifiers for nanoparticle size distribution measurements

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7

Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies

von: Fong, Angus Ho Ching

2019transfer abstract, in: Field study of a soft X-ray aerosol neutralizer combined with electrostatic classifiers for nanoparticle size distribution measurements

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8

Impact of global signal regression on characterizing dynamic functional connectivity and brain states

von: Xu, Huaze

2018transfer abstract, in: Field study of a soft X-ray aerosol neutralizer combined with electrostatic classifiers for nanoparticle size distribution measurements

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9

Estimating individual scores of inattention and impulsivity based on dynamic features of intrinsic connectivity network

von: Wang, Xun-Heng

2020, in: Faecal sludge containment characteristics and their implications on safe desludging in unplanned settlements of Dar es Salaam, Tanzania

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10

Using rDCM Method in the Mixed Model in Order to Inference Effective Connectivity in Emotions

von: Naemeh Farahani

2019, in: Frontiers in Biomedical Technologies

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11

Altered Dynamic Functional Network Connectivity in Frontal Lobe Epilepsy

von: Klugah-Brown, Benjamin

2018, in: Brain topography

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12

Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles

von: Khattak, Asad J

2017, in: Transportation research / C

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13

Tribilogical performances of connecting rod and by using orthogonal experiment, regression method and response surface methodology

von: He, Zhenpeng

2015, in: Atomic collapse in graphene quantum dots in a magnetic field

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14

Dynamic effective connectivity network based on change points detection

von: Zhao, Le

2022transfer abstract, in: Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood

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15

Dynamic functional connectivity analysis based on time-varying partial correlation with a copula-DCC-GARCH model

von: Lee, Namgil

2021, in: A new model on the viscosities of the Zr–Cu–Al liquid alloys

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16

Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles

von: Khattak, Asad J.

2017, in: Dithiocarbamate-calix[4]arene functionalized gold nanoparticles as a selective and sensitive colorimetric probe for assay of metsulfuron-methyl herbicide

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17

Regression DCM for fMRI

von: Frässle, Stefan

2017, in: NeuroImage

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18

Whole-brain estimates of directed connectivity for human connectomics

von: Stefan Frässle

2021, in: NeuroImage

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19

Whole-brain estimates of directed connectivity for human connectomics

von: Frässle, Stefan

2020, in: NeuroImage

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20

A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease

von: de Vos, Frank

2017, in: NeuroImage

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