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Cognitive neural mechanism of food decision-making and exercise interventions for obese individuals
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Science & Technology Review | 2022, 40(10) : 78 - 88
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Science & Technology Review | 2022, 40(10): 78-88
Exclusive:Exercise for Brain Health
Cognitive neural mechanism of food decision-making and exercise interventions for obese individuals
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HUANG Jiaai1,2, CAI Yuwei1, HUANG Huang1, HE Zhaorui1, XU Xia1,2
Affiliations
    1. College of Health Science, Wuhan Sports University, Wuhan 430079, China;
    2. Hubei Key Laboratory of Sport Training and Monitoring, Wuhan Sports University, Wuhan 430079, China
Published: 2022-05-28 doi: 10.3981/j.issn.1000-7857.2022.10.008
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The interaction between the exercise and the eating behavior is a hot research topic in the weight control of the obese individuals. This paper reviews the representative theories and studies of the food decision-making neural mechanisms, as well as the recent studies and theories of the interaction between the exercise and the food decision-making. Based on the above theories and research results, we propose a cognitive neural framework of improving the food decision-making by exercise for the obese individuals. This paper also reviews the representative studies, focusing on the effects of different doses of exercise interventions on the food decision-making for the obese individuals and provides a theoretical and practical reference for the weight control.
obesity  /  food decision-making  /  prefrontal cortex  /  exercise  /  adolescents
HUANG Jiaai, CAI Yuwei, HUANG Huang, HE Zhaorui, XU Xia. Cognitive neural mechanism of food decision-making and exercise interventions for obese individuals[J]. Science & Technology Review, 2022 , 40 (10) : 78 -88 . DOI: 10.3981/j.issn.1000-7857.2022.10.008
Year 2022 volume 40 Issue 10
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doi: 10.3981/j.issn.1000-7857.2022.10.008
  • Receive Date:2022-02-17
  • Online Date:2022-07-20
  • Published:2022-05-28
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  • Received:2022-02-17
  • Revised:2022-04-30
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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