Back

Meditation attenuates Default-mode activity: a pilot study using ultra-high strength MRI

Ganesan, S.; Moffat, B.; Van Dam, N.; Lorenzetti, V.; Zalesky, A.

2023-01-03 neuroscience
10.1101/2023.01.02.522524 bioRxiv
Show abstract

ObjectivesMapping the neurobiology of meditation using 3 Tesla functional MRI (fMRI) has burgeoned recently. However, limitations in signal quality and neuroanatomical resolution have impacted reliability and precision of extant findings. Although ultra-high strength 7 Tesla MRI overcomes these limitations, investigation of meditation using 7 Tesla fMRI is still in its infancy. MethodsIn this feasibility study, we scanned 10 individuals who were beginner meditators using 7 Tesla fMRI while they performed focused attention meditation and non-focused rest. We also measured and adjusted the fMRI signal for key physiological differences between meditation and rest. Finally, we explored the 2-week impact of the single fMRI meditation session on mindfulness, anxiety and focused attention attributes. ResultsGroup-level task fMRI analyses revealed significant reductions in activity during meditation relative to rest in Default-mode network hubs, i.e., antero-medial prefrontal and posterior cingulate cortices, precuneus, as well as visual and thalamic regions. These findings survived stringent statistical corrections for fluctuations in physiological responses which demonstrated significant differences (p < 0.05/n, Bonferroni controlled) between meditation and rest. Compared to baseline, State Mindfulness Scale (SMS) scores were significantly elevated (F = 8.16, p<0.05/n, Bonferroni controlled) following the fMRI meditation session, and were closely maintained at 2-week follow up. ConclusionsThis pilot study establishes the feasibility and utility of investigating focused attention meditation using ultra-high strength (7 Tesla) fMRI, by supporting widespread evidence that focused attention meditation attenuates Default-mode activity responsible for self-referential processing. Future functional neuroimaging studies of meditation should control for physiological confounds and include behavioural assessments.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
NeuroImage
813 papers in training set
Top 0.7%
17.4%
2
Imaging Neuroscience
242 papers in training set
Top 0.2%
10.0%
3
Human Brain Mapping
295 papers in training set
Top 0.9%
6.8%
4
Neuroimage: Reports
22 papers in training set
Top 0.1%
4.8%
5
Aperture Neuro
18 papers in training set
Top 0.1%
4.3%
6
Scientific Reports
3102 papers in training set
Top 32%
3.9%
7
Frontiers in Neuroimaging
11 papers in training set
Top 0.1%
3.6%
50% of probability mass above
8
NeuroImage: Clinical
132 papers in training set
Top 1%
3.0%
9
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
62 papers in training set
Top 0.6%
2.7%
10
Social Cognitive and Affective Neuroscience
29 papers in training set
Top 0.1%
2.6%
11
Translational Psychiatry
219 papers in training set
Top 2%
2.4%
12
Brain Imaging and Behavior
14 papers in training set
Top 0.1%
2.1%
13
Frontiers in Human Neuroscience
67 papers in training set
Top 1%
1.9%
14
Frontiers in Psychiatry
83 papers in training set
Top 2%
1.9%
15
Brain Stimulation
112 papers in training set
Top 0.9%
1.7%
16
PLOS ONE
4510 papers in training set
Top 54%
1.7%
17
Biological Psychiatry
119 papers in training set
Top 2%
1.7%
18
Journal of Affective Disorders
81 papers in training set
Top 1%
1.6%
19
Brain and Behavior
37 papers in training set
Top 0.6%
1.5%
20
Brain Research
35 papers in training set
Top 1%
1.1%
21
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 39%
1.1%
22
Nature Communications
4913 papers in training set
Top 58%
0.9%
23
Psychiatry Research: Neuroimaging
16 papers in training set
Top 0.2%
0.9%
24
The Journal of Neuroscience
928 papers in training set
Top 7%
0.9%
25
eLife
5422 papers in training set
Top 56%
0.8%
26
Journal of Cerebral Blood Flow & Metabolism
43 papers in training set
Top 0.7%
0.7%
27
Magnetic Resonance in Medicine
72 papers in training set
Top 0.5%
0.7%
28
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.6%
0.7%
29
Journal of Cognitive Neuroscience
119 papers in training set
Top 2%
0.7%
30
eneuro
389 papers in training set
Top 10%
0.7%