Revealing Changes in Brain Functional Networks Caused by Focused-Attention Meditation Using Tucker3 Clustering.
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Abstract
This study examines the effects of focused-attention meditation on functional brain states in novice meditators. There are a number of feature metrics for functional brain states, such as functional connectivity, graph theoretical metrics, and amplitude of low frequency fluctuation (ALFF). It is necessary to choose appropriate metrics and also to specify the region of interests (ROIs) from a number of brain regions. Here, we use a Tucker3 clustering method, which simultaneously selects the feature vectors (graph theoretical metrics and fractional ALFF) and the ROIs that can discriminate between resting and meditative states based on the characteristics of the given data. In this study, breath-counting meditation, one of the most popular forms of focused-attention meditation, was used and brain activities during resting and meditation states were measured by functional magnetic resonance imaging. The results indicated that the clustering coefficients of the eight brain regions, Frontal Inf Oper L, Occipital Inf R, ParaHippocampal R, Cerebellum 10 R, Cingulum Mid R, Cerebellum Crus1 L, Occipital Inf L, and Paracentral Lobule R increased through the meditation. Our study also provided the framework of data-driven brain functional analysis and confirmed its effectiveness on analyzing neural basis of focused-attention meditation.
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ALFF has been proven effective on analyzing the neural basis of both FA and mindfulness meditation.
“Considering the current topic, it has been proven to be effective on analyzing the neural basis of both FA and mindfulness meditation (Miyoshi et al., 2019; Yang et al., 2019).”
From Enhanced Resting-State Functional Connectivity With Decreased Amplitude of Low-Frequency Fluctuations of the Salience Network in Mindfulness Novices (2022) · cites this paper as Miyoshi et al., 2019
Miyoshi et al. used fractional ALFF (fALFF), a modified form of ALFF, in their analysis of focused-attention meditation (Methods, §2.7). But the Discussion (§4.2; page unavailable) says fALFF was not extracted as a discriminating feature; only the clustering coefficient was. The paper calls its overall analysis framework effective, not ALFF itself. (LLM, conf=0.86)
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References 67 · Cited by 16
Research works printed but not linked: 1
- Fanaee-T H. Oliveira M. Gama J. Malinowski S. Morla R. (2014). Event and anomaly detection using Tucker3 decomposition, in Proceedings of 20th European Conference on Artificial Intelligence (ECAI'2013)-Ubiquitous Data Mining Workshop, Vol. 1 (Montpellier), 8– 12.
- Authors
- Miyoshi, T., Tanioka, K., Yamamoto, S., Yadohisa, H., Hiroyasu, T., & Hiwa, S.
- Affiliations
- Doshisha University (JP)
- Wakayama Medical University Hospital (JP)
- Corresponding author
- Hiwa, Satoru
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2020-01-22
- Volume
- 13
- Pages
- 473-473
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC6990115
- OpenAlex
- W3002412811
- Cited by
- 16
- References
- 67
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 5
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Japan Society for the Promotion of Science
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Keywords
- focused attention meditation, functional brain networks, clustering coefficient, amplitude of low-frequency fluctuation, region of interest selection, novice meditators
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