Whole-brain resting-state functional connectivity identified major depressive disorder: A multivariate pattern analysis in two independent samples.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2017.04.040
Abstract: BACKGROUND there has been a recent increase in the use of connectome-based multivariate pattern analysis (MVPA) of resting-state functional magnetic resonance imaging (fMRI) data aimed at distinguishing patients with major depressive disorder (MDD) from healthy… read more here.
Keywords: multivariate pattern; independent samples; resting state; whole brain ... See more keywords
Temporal multivariate pattern analysis (tMVPA): A single trial approach exploring the temporal dynamics of the BOLD signal
Sign Up to like & getrecommendations! Published in 2018 at "Journal of neuroscience methods"
DOI: 10.1016/j.jneumeth.2018.06.029
Abstract: Background: fMRI provides spatial resolution that is unmatched by non-invasive neuroimaging techniques. Its temporal dynamics however are typically neglected due to the sluggishness of the hemodynamic signal. New Methods: We present temporal multivariate pattern analysis… read more here.
Keywords: temporal multivariate; trial; multivariate; tmvpa ... See more keywords
Decoding cognitive concepts from neuroimaging data using multivariate pattern analysis
Sign Up to like & getrecommendations! Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.07.058
Abstract: Abstract Multivariate pattern analysis (MVPA) methods are now widely used in life‐science research. They have great potential but their complexity also bears unexpected pitfalls. In this paper, we explore the possibilities that arise from the… read more here.
Keywords: concept; information; processing; pattern analysis ... See more keywords
F160. CLASSIFYING SCHIZOPHRENIA BY PATTERNS OF BOLD FLUCTUATIONS USING MULTIVARIATE PATTERN RECOGNITION ANALYSIS
Sign Up to like & getrecommendations! Published in 2018 at "Schizophrenia Bulletin"
DOI: 10.1093/schbul/sby017.691
Abstract: Abstract Background Schizophrenia is characterized by changes in both ongoing blood oxygenation level dependent (BOLD) signal fluctuations of resting-state fMRI and their coherence in terms of functional connectivity. The current study asks the question whether… read more here.
Keywords: bold fluctuations; schizophrenia; analysis; patterns bold ... See more keywords
Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)
Sign Up to like & getrecommendations! Published in 2022 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1010634
Abstract: 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… read more here.
Keywords: multivariate pattern; brain; connectivity multivariate; functional connectivity ... See more keywords
Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0172500
Abstract: The MRI environment restricts the types of populations and tasks that can be studied by cognitive neuroscientists (e.g., young infants, face-to-face communication). FNIRS is a neuroimaging modality that records the same physiological signal as fMRI… read more here.
Keywords: infant mind; analysis mvpa; pattern analysis; multivariate pattern ... See more keywords
Treatment Response Prediction for Major Depressive Disorder Patients via Multivariate Pattern Analysis of Thalamic Features
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.837093
Abstract: Antidepressant treatment, as an important method in clinical practice, is not suitable for all major depressive disorder (MDD) patients. Although magnetic resonance imaging (MRI) studies have found thalamic abnormalities in MDD patients, it is not… read more here.
Keywords: multivariate pattern; mdd patients; pattern analysis; treatment ... See more keywords
MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00545
Abstract: With the rapid development of machine learning techniques, multivariate pattern analysis (MVPA) is becoming increasingly popular in the field of neuroimaging data analysis. Several software packages have been developed to facilitate its application in neuroimaging… read more here.
Keywords: graphical user; user interface; analysis; pattern analysis ... See more keywords