A DTI-based template-free cortical connectome study of brain maturation.

A DTI-based template-free cortical connectome study of brain maturation.

Improved understanding of how the human brain is "wired" on a macroscale may now be possible due to the emerging field of MRI connectomics. However, mapping the rapidly developing infant brain networks poses challenges. In this study, we applied an automated template-free "baby connec...

Full description

Bibliographic Details
Main Authors:	Olga Tymofiyeva, Christopher P Hess, Etay Ziv, Patricia N Lee, Hannah C Glass, Donna M Ferriero, A James Barkovich, Duan Xu
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2013-01-01
Series:	PLoS ONE
Online Access:	http://europepmc.org/articles/PMC3652871?pdf=render

Similar Items

Brain without anatomy: construction and comparison of fully network-driven structural MRI connectomes.
by: Olga Tymofiyeva, et al.
Published: (2014-01-01)

Towards the "baby connectome": mapping the structural connectivity of the newborn brain.
by: Olga Tymofiyeva, et al.
Published: (2012-01-01)

A machine learning approach to automated structural network analysis: application to neonatal encephalopathy.
by: Etay Ziv, et al.
Published: (2013-01-01)

Functional brain connectome in posterior cortical atrophy
by: Raffaella Migliaccio, et al.
Published: (2020-01-01)

Combined DTI Tractography and Functional MRI Study of the Language Connectome in Healthy Volunteers: Extensive Mapping of White Matter Fascicles and Cortical Activations.
by: François Vassal, et al.
Published: (2016-01-01)

Connectomes across development reveal principles of brain maturation
by: Witvliet, Daniel, et al.
Published: (2022)

Communication and Wiring in the Cortical Connectome
by: Julian eBudd, et al.
Published: (2012-10-01)

An extensive assessment of network alignment algorithms for comparison of brain connectomes
by: Marianna Milano, et al.
Published: (2017-06-01)

A blueprint of mammalian cortical connectomes.
by: Alexandros Goulas, et al.
Published: (2019-03-01)

Evolution, development, and organization of the cortical connectome.
by: Miguel Ángel García-Cabezas, et al.
Published: (2019-05-01)

Connectomic surgery: Diffusion tensor imaging (DTI) tractography as a targeting modality for surgical modulation of neural networks
by: Jaimie M. Henderson
Published: (2012-04-01)

ADHD and maturation of brain white matter: A DTI study in medication naive children and adults
by: Cheima Bouziane, et al.
Published: (2018-01-01)

The cortical connectome of primate lateral prefrontal cortex
by: Xu, Rui, et al.
Published: (2021)

The ionic DTI model (iDTI) of dynamic diffusion tensor imaging (dDTI)
by: Nikos Makris, et al.
Published: (2014-01-01)

Individual-specific functional connectome biomarkers predict schizophrenia positive symptoms during adolescent brain maturation
by: Chen, H., et al.
Published: (2021)

Mapping the Alzheimer's brain with connectomics
by: Teng eXie, et al.
Published: (2012-01-01)

Advances in Electroencephalography and Brain Connectome
Published: (2023)

Deep brain stimulation for whispering dysphonia (DTY4)
by: Mary-Anne Xia, et al.
Published: (2015-03-01)

Plasticity versus stability across the human cortical visual connectome
by: Koen V. Haak, et al.
Published: (2019-07-01)

Structural connectome and connectivity lateralization of the multimodal vestibular cortical network
by: Iole Indovina, et al.
Published: (2020-11-01)

Alterations in Cortical Thickness and White Matter Integrity in Mild-to-Moderate Communicating Hydrocephalic School-Aged Children Measured by Whole-Brain Cortical Thickness Mapping and DTI
by: Siyu Zhang, et al.
Published: (2017-01-01)

Increased global and local efficiency of human brain anatomical networks detected with FLAIR-DTI compared to non-FLAIR-DTI.
by: Shumei Li, et al.
Published: (2013-01-01)

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
by: Abbasi, K., et al.
Published: (2021)

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
by: Seyedeh Zahra Sajadi, et al.
Published: (2021-04-01)

DTI-based upper limit of voxel free water fraction
by: Paul M. Macey, et al.
Published: (2018-07-01)

Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT)
by: Olga Tymofiyeva, et al.
Published: (2019-01-01)

Towards Developmental Connectomics of the Human Brain
by: Miao eCao, et al.
Published: (2016-03-01)

Micro-, Meso- and Macro-Connectomics of the Brain
Published: (2016)

Topology of the mesoscale connectome of the mouse brain
by: Grange Pascal
Published: (2020-10-01)

Brain Connectome Network Properties Visualization
by: Zhang, Chenfeng
Published: (2018)

Micro-, Meso- and Macro-Connectomics of the Brain
Published: (2016)

How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain.
by: Csaba Kerepesi, et al.
Published: (2016-01-01)

Cortical ignition dynamics is tightly linked to the core organisation of the human connectome.
by: Samy Castro, et al.
Published: (2020-07-01)

Construction of the Human Brain Database with DTI-based Probabilistic Tractography
by: Jin-Jie Hung, et al.
Published: (2016)

Trajectories of cortical surface area and cortical volume maturation in normal brain development
by: Simon Ducharme, et al.
Published: (2015-12-01)

Structural insight into the individual variability architecture of the functional brain connectome
by: Chen, Y., et al.
Published: (2022)

The structural connectome constrains fast brain dynamics
by: Pierpaolo Sorrentino, et al.
Published: (2021-07-01)

Using connectomics for predictive assessment of brain parcellations
by: Kristoffer J. Albers, et al.
Published: (2021-09-01)

Delayed correlations improve the reconstruction of the brain connectome.
by: Mite Mijalkov, et al.
Published: (2020-01-01)

Brain tumors disrupt the resting-state connectome
by: Darian H. Hadjiabadi, et al.
Published: (2018-01-01)