INS NYC 2024 Program

Poster	Poster Session 04 Program Schedule 02/15/2024 12:00 pm - 01:15 pm Room: Majestic Complex (Posters 61-120) Poster Session 04: Neuroimaging \| Neurostimulation/Neuromodulation \| Teleneuropsychology/Technology Final Abstract #117 Correlation Between Physical Leisure Activities and Functional Connectivity of Brain Networks in Healthy People Yi Zhou, Kanazawa University, Kanazawa, Japan Mie Matsui, Kanazawa University, Kanazawa, Japan Kota Ebina, Kanazawa University, Kanazawa, Japan Yuta Takiguchi, Kanazawa University, Kanazawa, Japan Masashi Kinoshita, Kanazawa University, Kanazawa, Japan Mitsutoshi Nakada, Kanazawa University, Kanazawa, Japan Category: Neuroimaging Keyword 1: neuroimaging: functional connectivity Objective: Leisure activities are the activities taken during free time, for enjoyment, relaxation, or other satisfactions (Ugurlu et al., 2017), other than the activities or behaviors they have to do in daily life (Li et al., 2021). Physical leisure activities are considered to be beneficial to cognitive functions (Li et al., 2023; Ren et al., 2023), while professional coaching for athletes, or intervention aimed at medical experiments, such as aerobic training and resistance training, might lead to not only increasing cognitive functions, but also change the pattern of functional connectivity (FC) in default mode network (DMN) (Chirles et al., 2017; Tan et al., 2017), salience network (SN) (Burdette et al., 2010; Tan et al., 2017), frontoparietal network (FPN) (Liu et al., 2018; Tan et al., 2017), sensorimotor network (SMN) (Chirles et al., 2017), and cerebellum (Berti rt al., 2019). However, it is still lack of research on the effect of physical leisure activities on the pattern of functional connectivity in the brain networks. This study aims to investigate the correlation between physical leisure activities and functional connectivity of brain networks in healthy people. Participants and Methods: Ninety healthy participants aged between 20-83 years old were included in this study. Data on quantities and components of leisure activities was collected by administering the Japanese Cognitive Reserve Questionnaire (JCRQ, Matsui et al., 2020). Furthermore, physical leisure activities score (PLAS) of each individual was calculated based on the component of leisure activities they have done. The data of rs-fMRI were analyzed with Seed-to-Voxel in CONN toolbox, followed by analyzing the correlation between PLAS and FC involved in the main regions of DMN, SN, FPN, SMN, and cerebellum by regression analysis, while controlling the influence of age (cluster-level: p-FDR<0.05; voxel-level: p-uncorrected<0.001). Results: The PLAS was negatively correlated with the FC between the right LPFC, one of the main regions of FPN, and the right superior frontal gyrus and right paracingulate gyrus. Meanwhile, it was positively correlated with the FC between the posterior cerebellum and the left occipital pole. No significantly different FC pattern related to PLAS was found in DMN, SN, and SMN. Conclusions: It was found that physical leisure activities are probably influencing the FC between LPFC, located in FPN, and the right superior frontal gyrus, which are activated during impulse controlling (Achterberg et al., 2016; Hu et al., 2016), as well as between the cerebellum and the left occipital pole, while cerebellum relate to sensorimotor (Koziol et al., 2014) and occipital pole located in primary visual cortex of visual system (Rehman & Al Khalili, 2019). Therefore, it is considered physical leisure activities might lead to consumption in emotion regulation and controlling impulsive and improving the ability of visual cognition. However, physical leisure activities do not change FC in DMN, SMN, or SN, a possible reason is that they are done for enjoyment and relaxation, unlike training or interventions that require a rigid schedule or aim for better results, skills, or movements.

Poster

02/15/2024
12:00 pm - 01:15 pm
Room: Majestic Complex (Posters 61-120)

Poster Session 04: Neuroimaging | Neurostimulation/Neuromodulation | Teleneuropsychology/Technology

Final Abstract #117

Correlation Between Physical Leisure Activities and Functional Connectivity of Brain Networks in Healthy People

Yi Zhou, Kanazawa University, Kanazawa, Japan
Mie Matsui, Kanazawa University, Kanazawa, Japan
Kota Ebina, Kanazawa University, Kanazawa, Japan
Yuta Takiguchi, Kanazawa University, Kanazawa, Japan
Masashi Kinoshita, Kanazawa University, Kanazawa, Japan
Mitsutoshi Nakada, Kanazawa University, Kanazawa, Japan

Category: Neuroimaging

Keyword 1: neuroimaging: functional connectivity

Objective:

Leisure activities are the activities taken during free time, for enjoyment, relaxation, or other satisfactions (Ugurlu et al., 2017), other than the activities or behaviors they have to do in daily life (Li et al., 2021). Physical leisure activities are considered to be beneficial to cognitive functions (Li et al., 2023; Ren et al., 2023), while professional coaching for athletes, or intervention aimed at medical experiments, such as aerobic training and resistance training, might lead to not only increasing cognitive functions, but also change the pattern of functional connectivity (FC) in default mode network (DMN) (Chirles et al., 2017; Tan et al., 2017), salience network (SN) (Burdette et al., 2010; Tan et al., 2017), frontoparietal network (FPN) (Liu et al., 2018; Tan et al., 2017), sensorimotor network (SMN) (Chirles et al., 2017), and cerebellum (Berti rt al., 2019). However, it is still lack of research on the effect of physical leisure activities on the pattern of functional connectivity in the brain networks. This study aims to investigate the correlation between physical leisure activities and functional connectivity of brain networks in healthy people.

Participants and Methods:

Ninety healthy participants aged between 20-83 years old were included in this study. Data on quantities and components of leisure activities was collected by administering the Japanese Cognitive Reserve Questionnaire (JCRQ, Matsui et al., 2020). Furthermore, physical leisure activities score (PLAS) of each individual was calculated based on the component of leisure activities they have done. The data of rs-fMRI were analyzed with Seed-to-Voxel in CONN toolbox, followed by analyzing the correlation between PLAS and FC involved in the main regions of DMN, SN, FPN, SMN, and cerebellum by regression analysis, while controlling the influence of age (cluster-level: p-FDR<0.05; voxel-level: p-uncorrected<0.001).

Results:

The PLAS was negatively correlated with the FC between the right LPFC, one of the main regions of FPN, and the right superior frontal gyrus and right paracingulate gyrus. Meanwhile, it was positively correlated with the FC between the posterior cerebellum and the left occipital pole. No significantly different FC pattern related to PLAS was found in DMN, SN, and SMN.

Conclusions:

It was found that physical leisure activities are probably influencing the FC between LPFC, located in FPN, and the right superior frontal gyrus, which are activated during impulse controlling (Achterberg et al., 2016; Hu et al., 2016), as well as between the cerebellum and the left occipital pole, while cerebellum relate to sensorimotor (Koziol et al., 2014) and occipital pole located in primary visual cortex of visual system (Rehman & Al Khalili, 2019). Therefore, it is considered physical leisure activities might lead to consumption in emotion regulation and controlling impulsive and improving the ability of visual cognition. However, physical leisure activities do not change FC in DMN, SMN, or SN, a possible reason is that they are done for enjoyment and relaxation, unlike training or interventions that require a rigid schedule or aim for better results, skills, or movements.