The Volumetric Changes of the Pineal Gland with Age: An Atlas-based Structural Analysis

Sisakhti, Minoo; Shafaghi, Lida; Batouli, Seyed Amir Hossein

doi:10.1080/0361073x.2022.2033593

Cited by 2 publications

(1 citation statement)

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“…All MRI data were visually checked for good quality, based on previous methods (Sisakhti et al, 2021(Sisakhti et al, , 2022. This step included image information such as matrix and voxel sizes, the number of timepoints (for resting-state fMRI), and checking the images to be rightto-left oriented.…”

Section: Quality Check and Preprocessingmentioning

confidence: 99%

The subcortical brain regions influence the cortical areas during resting-state: an fMRI study

Moazeni,

Northoff,

Batouli

2024

Front. Hum. Neurosci.

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IntroductionNumerous modes or patterns of neural activity can be seen in the brain of individuals during the resting state. However, those functions do not persist long, and they are continuously altering in the brain. We have hypothesized that the brain activations during the resting state should themselves be responsible for this alteration of the activities.MethodsUsing the resting-state fMRI data of 63 healthy young individuals, we estimated the causality effects of each resting-state activation map on all other networks. The resting-state networks were identified, their causality effects on the other components were extracted, the networks with the top 20% of the causality were chosen, and the networks which were under the influence of those causal networks were also identified.ResultsOur results showed that the influence of each activation component over other components is different. The brain areas which showed the highest causality coefficients were subcortical regions, such as the brain stem, thalamus, and amygdala. On the other hand, nearly all the areas which were mostly under the causal effects were cortical regions.DiscussionIn summary, our results suggest that subcortical brain areas exert a higher influence on cortical regions during the resting state, which could help in a better understanding the dynamic nature of brain functions.

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Section: Quality Check and Preprocessingmentioning

confidence: 99%