A NOVEL METHOD FOR VISUALIZING FUNCTIONAL CONNECTIVITY USING PRINCIPAL COMPONENT ANALYSIS

@article{Mikula2006ANM,
  title={A NOVEL METHOD FOR VISUALIZING FUNCTIONAL CONNECTIVITY USING PRINCIPAL COMPONENT ANALYSIS},
  author={Shawn Mikula and Ernst Niebur},
  journal={International Journal of Neuroscience},
  year={2006},
  volume={116},
  pages={419 - 429}
}
Functional connectivity is a useful measure of voxel-wise functional magnetic resonance imaging signals that allows for the identification of functionally related brain areas and distributed networks. However, the high dimensionality of functional connectivity makes it difficult to visualize. In most studies, a small percentage of the total functional connectivity is visualized through diagrams that are constructed using individual seed voxels. In the present study describes a new method for… 
View on Taylor & Francis
cnslab.mb.jhu.edu
17 Citations
Highly Influential Citations
1
Background Citations
6
Methods Citations
7

17 Citations

Citation Type

Citation Type

Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain
TLDR
To optimize the clarity of whole-brain and complex connectivity patterns in three-dimensional brain space, mean-shift edge bundling is developed, which reveals the multitude of connections as derived from correlations in the brain activity of cortical regions.
A method for functional network connectivity among spatially independent resting-state components in schizophrenia
Functional Brain Networks in Schizophrenia: A Review
TLDR
Work with functional network connectivity is presented, an approach that enables the evaluation of the interplay between multiple networks and how they are affected in disease and discusses new variants of ICA for extracting maximally group discriminative networks from data.
Identifying Changes of Functional Brain Networks using Graph Theory
TLDR
Six prominent categories of resting-state fMRI data analysis are reviewed: seed-based functional connectivity, independent component analysis, clustering, pattern classification, graph theory, and two “local” methods.
Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients
TLDR
This study investigated the volumes of functional networks as potential biomarkers for schizophrenia by decomposing fMRI images into maximally independent spatial maps and corresponding time-courses and found different nodes of the default-mode network exhibit volumetric abnormalities in schizophrenia patients.
Functional Connectivity among Spikes in Low Dimensional Space during Working Memory Task in Rat
TLDR
It is suggested that functional connectivity among the spikes varied dynamically during the WM tasks and could be described effectively in the low dimensional space.
FUNCTIONAL NETWORK CONNECTIVITY IN HUMAN BRAIN AND ITS APPLICATIONS IN AUTOMATIC DIAGNOSIS OF BRAIN DISORDERS
TLDR
There is growing interest in studying the FC among brain functional networks, which is a type of connectivity among specialized regions in the brain that must be integrated in order to form a unified cognition or behavior.
Classification of schizophrenia patients based on resting-state functional network connectivity
TLDR
These effects represent the first use of resting-state functional network connectivity (FNC) features to classify schizophrenia and show that classification with high accuracy is achievable using simple non-linear discriminative methods such as k-nearest neighbors (KNNs) which is very promising.
Altered parahippocampal gyrus activation and its connectivity with resting-state network areas in schizophrenia: An EEG study
Gender differences in brain functional connectivity density
TLDR
The more distributed organization of the male brain than that of the female brain could help explain the gender differences in cognitive style and behaviors and in the prevalence of neuropsychiatric diseases (i.e., autism spectrum disorder).
...
1
2
...

References

SHOWING 1-10 OF 12 REFERENCES
Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets.
Mapping functionally related regions of brain with functional connectivity MR imaging.
TLDR
This work tested the hypothesis that fcMRI maps, based on the synchrony of low-frequency blood flow fluctuations, identify brain regions that show activation on fMRI maps of sensorimotor, visual, language, and auditory tasks.
Simultaneous assessment of flow and BOLD signals in resting‐state functional connectivity maps
TLDR
Results of this study suggest that while variations in blood flow might contribute tofunctional connectivity maps, BOLD signals play a dominant role in the mechanism that gives rise to functional connectivity in the resting human brain.
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
TLDR
It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations
TLDR
Correlations to left hemisphere motor cortex, visual cortex, and amygdala are measured in long resting-state scans and these correlations are extended to lower sampling rate multislice echoplanar acquisitions and other right/left hemisphere-symmetric functional cortices.
Hypercapnia Reversibly Suppresses Low-Frequency Fluctuations in the Human Motor Cortex during Rest Using Echo–Planar MRI
TLDR
Results of this study support the hypothesis that low-frequency physiological fluctuations observed by MR in the human cortex and spontaneous flow oscillations observed in early studies by laser–Doppler flowmetry in the cortex of the rat are identical and are secondary to fluctuations in neuronal activity.
Applied Multivariate Statistical Analysis
(NOTE: Each chapter begins with an Introduction, and concludes with Exercises and References.) I. GETTING STARTED. 1. Aspects of Multivariate Analysis. Applications of Multivariate Techniques. The…
Transient neural activity in human parietal cortex during spatial attention shifts
TLDR
Brain activity during attention shifts using rapid, event-related fMRI of human observers as they covertly shifted attention between two peripheral spatial locations suggests that activation of the parietal cortex is associated with a discrete signal to shift spatial attention, and is not the source of a signal to continuously maintain the current attentive state.
Large-scale cortical organization of the macaque
  • Proceedings of World Congress on Neuroinformatics,
  • 2001
The functional connectional organization of the human brain
  • per presented at the Society for Neuroscience Annual Meeting
  • 2001
...
1
2
...