Cargando…

Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)

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...

Descripción completa

Detalles Bibliográficos
Autor principal:	Nieto-Castanon, Alfonso
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707802/ https://www.ncbi.nlm.nih.gov/pubmed/36378714 http://dx.doi.org/10.1371/journal.pcbi.1010634

Ejemplares similares

CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave
por: Oosterhof, Nikolaas N., et al.
Publicado: (2016)

Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS
por: Emberson, Lauren L., et al.
Publicado: (2017)

Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox
por: Kuntzelman, Karl M., et al.
Publicado: (2021)

The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data
por: Torabian, Sajjad, et al.
Publicado: (2023)

Temporal multivariate pattern analysis (tMVPA): A single trial approach exploring the temporal dynamics of the BOLD signal
por: Vizioli, Luca, et al.
Publicado: (2018)

Are all MVPA minutes equal? Associations between MVPA characteristics, independent of duration, and childhood adiposity
por: Miatke, Aaron, et al.
Publicado: (2021)

SF-MVPA: A from raw data to statistical results and surface space-based MVPA toolbox
por: Li, Qiang, et al.
Publicado: (2022)

MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional Data
por: Treder, Matthias S.
Publicado: (2020)

Enjoyment of Physical Activity—Not MVPA during Physical Education—Predicts Future MVPA Participation and Sport Self-Concept
por: Ramer, Jared D., et al.
Publicado: (2021)

Resting-State Functional Connectivity and Scholastic Performance in Preadolescent Children: A Data-Driven Multivoxel Pattern Analysis (MVPA)
por: Westfall, Daniel R., et al.
Publicado: (2020)

Mapping the Connectome: Multi-Level Analysis of Brain Connectivity
por: Leergaard, Trygve B., et al.
Publicado: (2012)

Multi-voxel pattern analysis (MVPA) reveals abnormal fMRI activity in both the “core” and “extended” face network in congenital prosopagnosia
por: Rivolta, Davide, et al.
Publicado: (2014)

Evaluation and statistical inference for living connectomes
por: Pestilli, F., et al.
Publicado: (2014)

FARCI: Fast and Robust Connectome Inference
por: Meamardoost, Saber, et al.
Publicado: (2021)

PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data
por: Hanke, Michael, et al.
Publicado: (2009)

Intervention Strategies to Elicit MVPA in Preschoolers during Outdoor Play
por: Wadsworth, Danielle D., et al.
Publicado: (2020)

Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
por: Ye, Chenfei, et al.
Publicado: (2019)

A symmetric multivariate leakage correction for MEG connectomes
por: Colclough, G.L., et al.
Publicado: (2015)

A genome-wide view of mutation rate co-variation using multivariate analyses
por: Ananda, Guruprasad, et al.
Publicado: (2011)

The Connectome and Chemo-Connectome Databases for Mice Brain Connection Analysis
por: Wang, Yang, et al.
Publicado: (2022)

Localized Connectivity in Obsessive-Compulsive Disorder: An Investigation Combining Univariate and Multivariate Pattern Analyses
por: Hu, Xinyu, et al.
Publicado: (2019)

From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM)
por: Fahrenfort, Johannes J., et al.
Publicado: (2018)

Paired Trial Classification: A Novel Deep Learning Technique for MVPA
por: Williams, Jacob M., et al.
Publicado: (2020)

Decoding numeracy and literacy in the human brain: insights from MEG and MVPA
por: Nara, Sanjeev, et al.
Publicado: (2023)

Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
por: Wang, Ziliang, et al.
Publicado: (2020)

Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity
por: Finn, Emily S., et al.
Publicado: (2015)

Functional connectivity MRI quality control procedures in CONN
por: Morfini, Francesca, et al.
Publicado: (2023)

Multivariate statistical inference
por: Giri, Narayan C, et al.
Publicado: (1977)

Relationships between locomotive and non-locomotive MVPA and ‘ikigai’ in older Japanese adults
por: Tsujishita, Soma, et al.
Publicado: (2023)

Default egocentrism: an MVPA approach to overlap in own and others’ socio-political attitudes
por: Welborn, B Locke, et al.
Publicado: (2023)

Genome-wide associations of human gut microbiome variation and implications for causal inference analyses
por: Hughes, David A, et al.
Publicado: (2020)

Inferring effective computational connectivity using incrementally conditioned multivariate transfer entropy
por: Lizier, Joseph T, et al.
Publicado: (2013)

Importance of self-connections for brain connectivity and spectral connectomics
por: Gao, Xiao, et al.
Publicado: (2020)

Commentary: Functional connectome fingerprint: identifying individuals using patterns of brain connectivity
por: Biazoli, Claudinei E., et al.
Publicado: (2017)

Multivariate phenotype analysis enables genome-wide inference of mammalian gene function
por: Nicholson, George, et al.
Publicado: (2022)

How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain
por: Kerepesi, Csaba, et al.
Publicado: (2016)

Fractionating the anterior temporal lobe: MVPA reveals differential responses to input and conceptual modality
por: Murphy, Charlotte, et al.
Publicado: (2017)

Understanding factors associated with children achieving recommended amount of MVPA on weekdays and weekend days
por: Button, Brenton L.G., et al.
Publicado: (2020)

Novel Applications of Accelerometry Data for Health Outcomes in Older Adults: Thinking Beyond MVPA
por: Schrack, Jennifer, et al.
Publicado: (2021)

Alteration of brain structural connectivity in progression of Parkinson's disease: A connectome-wide network analysis
por: Yang, Yanwu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5bpqc9bu86mo6c385gltepv8hr