ArticlePloS one2013
Analysis of whole-brain resting-state FMRI data using hierarchical clustering approach.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Resting-state functional connectivity in individuals with bipolar disorder during clinical remission: a systematic review.Journal of psychiatry & neuroscience : JPN · 2018Pooled it
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- Bridging functional and anatomical neural connectivity through cluster synchronization.Scientific reports · 2023Article
- Brain Network Analysis: A Review on Multivariate Analytical Methods.Brain connectivity · 2023Review
- Emotional Brain Network Community Division Study Based on an Improved Immunogenetic Algorithm.Brain sciences · 2022Article
- A Magnetic Resonance-Relaxometry-Based Technique to Identify Blood Products in Brain Parenchyma: An Experimental Study on a Rabbit Model.Frontiers in veterinary science · 2022Article
- Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T.Data in brief · 2021Article
- Co-activation pattern alterations in autism spectrum disorder-A volume-wise hierarchical clustering fMRI study.Brain and behavior · 2021Article
- Neurofunctional Segmentation Shifts in the Hippocampus.Frontiers in human neuroscience · 2021Article
- A Quantitative Data-Driven Analysis Framework for Resting-State Functional Magnetic Resonance Imaging: A Study of the Impact of Adult Age.Frontiers in neuroscience · 2021Article
- Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment.Brain informatics · 2020Article
- Machine learning in resting-state fMRI analysis.Magnetic resonance imaging · 2019Review
- Stroke atlas of the brain: Voxel-wise density-based clustering of infarct lesions topographic distribution.NeuroImage. Clinical · 2019Article
- Neurophysiological capacity in a working memory task differentiates dependent from nondependent heavy drinkers and controls.Drug and alcohol dependence · 2017Article
- Mapping white-matter functional organization at rest and during naturalistic visual perception.NeuroImage · 2017Article
- Hierarchical ordering with partial pairwise hierarchical relationships on the macaque brain data sets.PloS one · 2017Article
- Post mTBI fatigue is associated with abnormal brain functional connectivity.Scientific reports · 2016Article
- Resting-state fMRI study of acute migraine treatment with kinetic oscillation stimulation in nasal cavity.NeuroImage. Clinical · 2016Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious studies using hierarchical clustering approach to analyze resting-state fMRI data were limited to a few slices or regions-of-interest (ROIs) after substantial data reduction. PURPOSE: To develop a framework that can perform voxel-wise hierarchical clustering of whole-brain resting-state fMRI data from a group of subjects. MATERIALS AND
methodsResting-state fMRI measurements were conducted for 86 adult subjects using a single-shot echo-planar imaging (EPI) technique. After pre-processing and co-registration to a standard template, pair-wise cross-correlation coefficients (CC) were calculated for all voxels inside the brain and translated into absolute Pearson's distances after imposing a threshold CC≥0.3. The group averages of the Pearson's distances were then used to perform hierarchical clustering with the developed framework, which entails gray matter masking and an iterative scheme to analyze the dendrogram.
resultsWith the hierarchical clustering framework, we identified most of the functional connectivity networks reported previously in the literature, such as the motor, sensory, visual, memory, and the default-mode functional networks (DMN). Furthermore, the DMN and visual system were split into their corresponding hierarchical sub-networks.
conclusionIt is feasible to use the proposed hierarchical clustering scheme for voxel-wise analysis of whole-brain resting-state fMRI data. The hierarchical clustering result not only confirmed generally the finding in functional connectivity networks identified previously using other data processing techniques, such as ICA, but also revealed directly the hierarchical structure within the functional connectivity networks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.