Evidence map›Paper›PMID 35880091›Full record

ArticleComputational and mathematical methods in medicine2022

Functional Imaging in Improving Children's Mental Health Based on Behavior.

Hua Li, Yuehua Lei, Tao Guo, Xiang Zhang, Hong Zhu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 93% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Hua LiChengdu Qingbaijiang Maternal and Child Health Care Hospital, Chengdu, 610300 Sichuan, China.
Yuehua LeiChengdu Qingbaijiang Maternal and Child Health Care Hospital, Chengdu, 610300 Sichuan, China.
Tao GuoChengdu Qingbaijiang Maternal and Child Health Care Hospital, Chengdu, 610300 Sichuan, China.
Xiang ZhangChengdu Qingbaijiang Maternal and Child Health Care Hospital, Chengdu, 610300 Sichuan, China.
Hong ZhuSchool of Education and Psychology, Chengdu Normal University, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0002-3076-3821
Maternal and Child Health Hospital of Sichuan Province · CNChengdu Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, children's psychological and behavioral health care is mainly based on the doctor's observation and diagnosis. On the whole, it is inefficient, and the effect of health care cannot meet the current needs of children's behavior. Therefore, this paper uses the method of functional imaging to study the key factors of children's behavioral health care. In this paper, the structure and function of children's brain are associated with children's psychological behavior. The brain structure of 64 children in our city is detected by functional image processing, and 64 children are divided into groups according to the detection results. According to the children's performance, the children were divided into physical disorder (11 cases), emotional disorder (14 cases), cognitive disorder (12 cases), and normal group (42 cases). Among them, 3 cases had three kinds of disorders, 6 cases had both emotional and cognitive disorders, 7 cases had physical and emotional disorders, and 5 cases had physical and cognitive disorders. In this paper, according to the research data of functional imaging on different levels of children's brain, we use computer to model and simulate through digital conversion technology, draw the neural network Atlas of children's psychological behavior, compare the children's representation and image characteristics according to functional imaging, and then, study the relationship between children's signs and images, to make a plan for improving children's psychological behavior health care. The study shows that in the above different groups, the linear correlation between the functional imaging results and the representation of 22 abnormal children is 98%, and the fuzzy deviation is only 3.52%, which indicates that functional imaging can be used as the basic judgment basis in improving children's psychological and behavioral health care and can predict and reasonably prevent children's potential psychological behavior according to the images.

Indexed as

Mental HealthStress, PsychologicalChildEmotionsHumans

Identifiers

PMID35880091
PMCPMC9308513
OpenAlexW4285677679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.