Using independent component analysis to extract a cross-modality and individual-specific brain baseline pattern

The ongoing brain activity serves as a baseline that supports both internal and external cognitive processes. However, its precise nature remains unclear. Considering that people display various patterns of brain activity even when engaging in the same task, it is reasonable to believe that individuals possess their unique brain baseline pattern. Using spatial independent component analysis on a large sample of fMRI data from the Human Connectome Project (HCP), we found an individual-specific component which can be consistently extracted from either resting-state or different task states and is reliable over months. Compared to functional connectome fingerprinting, it is much more stable across different fMRI modalities. Its stability is closely related to high explained variance and is minimally influenced by factors such as noise, scan duration, and scan interval. We propose that this component underlying the ongoing activity represents an individual-specific baseline pattern of brain activity.

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Publication Details

Journal
NeuroImage
Published
2024-11-12
DOI
https://doi.org/10.1016/j.neuroimage.2024.120925
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.34
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article

Using independent component analysis to extract a cross-modality and individual-specific brain baseline pattern

Wei Liu, Xuemin Zhang
1 citations
NeuroImage
Functional Brain Connectivity Studies
0.34
article

Using independent component analysis to extract a cross-modality and individual-specific brain baseline pattern

Wei Liu, Xuemin Zhang
article en
1 citations

Abstract

The ongoing brain activity serves as a baseline that supports both internal and external cognitive processes. However, its precise nature remains unclear. Considering that people display various patterns of brain activity even when engaging in the same task, it is reasonable to believe that individuals possess their unique brain baseline pattern. Using spatial independent component analysis on a large sample of fMRI data from the Human Connectome Project (HCP), we found an individual-specific component which can be consistently extracted from either resting-state or different task states and is reliable over months. Compared to functional connectome fingerprinting, it is much more stable across different fMRI modalities. Its stability is closely related to high explained variance and is minimally influenced by factors such as noise, scan duration, and scan interval. We propose that this component underlying the ongoing activity represents an individual-specific baseline pattern of brain activity.

NeuroImageVol. 303
Beijing Normal University (CN)
Openalex Percentile: Top 39%
Functional Brain Connectivity Studies
0.34
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Using independent component analysis to extract a cross-modality and individual-specific brain baseline pattern — Wei Liu, Xuemin Zhang · NeuroImage (2024) | TGRS Research Map | TGRS