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RecruitingNCT06025890CEIDBDBMCSUpdated Sep 6, 2023

Clinical Evaluation and Intervention of Developmental Behavioral Diseases Based on Multicenter Cohort Study(CEIDBDBMCS)

An interventional study of Functional Training. and Observe. in ADHD and Language Disorders, sponsored by Chen Li. Recruiting at 1 site in China. Open to participants aged 1 Year to 6 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-09-06.

Sponsored by Chen Li · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Primary completion was expected by Jun 2025, 1 year 4 months ago, but the record still lists the study as recruiting.
  • Started Dec 2022; still recruiting 3 years 11 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
2,100
Allocation
Non-randomized
Ages
1 Year to 6 Years
Sex
All
01

Study summary

Diagnosis of Language Disorder and Attention Deficit Hyperactivity Disorder (ADHD) is difficult for several reasons. This study aims to establish a Chinese multi-center cohort for the early diagnosis of language disorder and ADHD in children, develop appropriate early assessment tools and formulate intervention programs and standards for early functional training. Based on a national multi-center research team with Chongqing, Shanghai, and Beijing as the core areas, the investigators established a specific disease cohort for early diagnosis of language disorder and ADHD: a specific disease cohort with language disorder (900 cases) who were 1-3 years when the follow-up started, and 4-6 years old at the end of follow-up; a specific cohort with ADHD (1200 cases) who were 3-6 years when the follow-up started, and 7-9 years old at the end of follow-up. At the time of enrollment, professional assessments such as clinical development indicators and neurological function indicators were assessed using functional near-infrared spectroscopy(fNIRS). Outcome measures were speech impairment and hyperactivity. Blood samples were taken from 600 speech-impaired patients and 800 ADHD patients. Of these, 800 ADHD subjects completed an fNIRS imaging task. Build an intelligent brain image big data analysis system to realize early quality control, processing, and analysis of brain images, and study objective markers for early disease detection. The investigators can use machine learning and applications for early diagnosis, developing big data analysis tools such as integrated clinical assessment and brain imaging, promoting comprehensive clinical assessment and big data analysis tools systems such as brain imaging, and building assessment tools for language disorders and ADHD. Through the implementation and results of the multi-center special disease cohort platform, evidence-based medical evidence is collected to form clinical standards and guidelines.

Read the detailed description
  1. Procedures. From December 2022 to May 2024, the research team completed the collection and follow-up of 900 cases of language disorder and 1,200 cases of ADHD, and included them in the language disorder and ADHD cohort case collection database.From June 2024 to November 2024, 900 children with language disorders and 1,200 children with ADHD will be followed; blood samples will be collected from 600 children with language disorders and 800 children with ADHD; 800 children with ADHD will be completed using the fNIRS task test. From December 2024 to November 2025, complete the follow-up of 900 cases of language disorder and 1,200 cases of ADHD, complete the development of an early assessment tool set suitable for the Chinese children with language disorders and ADHD, complete the formulation of intervention plans, establish a unified standard, and extended the results to 50 hospitals.
  2. Sample size. This study is an intervention study. The language disorder group and the ADHD group had to complete a two-year follow-up and intervention. collect blood samples from 900 cases of language disorder and 1,200 cases of ADHD, and complete an fNIRS task test from 800 ADHD patients. The primary endpoints were language disorder and ADHD.An electronic data acquisition system with a follow-up management module, multi-level authority management and automatic SMS notification function is adopted to build an integrated and standardized multi-center queue data storage and sharing platform. Based on the modularization of "core ability improvement", "specific ability improvement and ability strategy acquisition", "learning problems and interpersonal relationships", "social adaptation"; and other programs, sometimes combined with computer-aided cognitive training, parenting behavior management training and/or mindfulness training, aerobic exercise and other intervention forms can achieve personalized functional training intervention for children. Use brain near-infrared imaging technology to capture multimodal neuroimaging features of young children; use high-precision repetitive transcranial direct current stimulation technology to conduct positive neural enhancement and adjustment training on the target brain area. Based on physical therapy stimulation, neuromodulation improves core symptoms in children.
  3. Statistical analysis. By integrating multiple methods such as scale evaluation, behavioral testing, and experience sampling into the tool library, digitization, and interface visualization are realized. Combined with the multi-center cloud data platform, a generalized linear probability model is created, and an early evaluation tool is established. Capturing multimodal neuroimaging features of early childhood using fNIRS; training a hierarchical machine learning scoring model using fused neural features. Based on the classic support vector machine algorithm, the detection model is trained with the post-diagnosis as the result label, and the leave-one-out cross-validation method is used for testing.
  4. Ethical matters and data protection. The patients who participated in the study will sign the informed consent (obtained from the guardian). And this study was approved by the local ethics committee. The patient's name will be abbreviated and the research data will be assigned a code then to provide to the researcher. The authorization from parents on the patient's health information remains valid until the study is completed. After that, researchers will delete private information from the study record.
02

Conditions studied

  • ADHD
  • Language Disorders

Keywords

  • ADHD
  • Language Disorder
  • Artificial Intelligence
  • fNIRS
03

In context

Attention Deficit Disorder with Hyperactivity

1,817 studies on the registry are indexed under Attention Deficit Disorder with Hyperactivity; 296 are open to participants now.

This study's planned enrollment of 2,100 is above the median of 71 across 1,437 interventional studies indexed under Attention Deficit Disorder with Hyperactivity.

Browse Attention Deficit Disorder with Hyperactivity studies →

Lead sponsor

Chen Li is the lead sponsor of 11 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
1 Year to 6 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Eligibility criteria

  1. Language disorder

Inclusion criteria:

  1. Language disorder(n=900): This study included children between the ages of 1-4 who were evaluated for potential language disorder by two developmental behavioral specialists holding the title of associate professor or higher.
  2. Control group(n=100): This study included children between the ages of 1-4 who were exclude with language disorder by two developmental behavioral specialists with the title of associate professor or higher.

Exclusion criteria:

  1. Children with a history of language development delay or language disorder intervention treatment.
  2. DQ score below 85.
  3. (3) Patients with organic diseases of the nervous system, epilepsy, autism spectrum disorder, global developmental delay, and hearing impairment, and/or people caring for patients with mental illness, hearing impairment,language disoeder.

2.ADHD

Inclusion criteria:

  1. ADHD(n=1200): This study included children between the ages of 3-6 who were evaluated for potential ADHD by two developmental behavioral and/or psychiatrists with the rank of associate professor or higher.
  2. Control group(n=100):This study included children between the ages of 1-4 who were exclude with ADHD by two developmental behavioral and/or psychiatrists with the rank of associate professor or higher.

Exclusion criteria:

  1. Children with ADHD intervention treatment.
  2. DQ score lower than 85, or IQ score lower than 80.
  3. Patients with organic diseases of the nervous system, epilepsy, autism spectrum disorder, global developmental delay, mental retardation, atopic dermatitis, asthma, hearing impairment or visual impairment.
05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
2,100 participants (estimated)

Study arms

  • Experimental
    Language Disorder

    The language disorder group had to complete a two-year follow-up and intervention. Collect blood samples from 600 cases of language disorder.

    Other: Functional Training. · Other: Observe.

  • Experimental
    Attention Deficit Hyperactivity Disorder

    The ADHD group had to complete a two-year follow-up and intervention.Collect blood samples 800 cases of ADHD, and complete a fNIRS task test from 800 ADHD patients.

    Other: Functional Training. · Other: Observe.

  • No intervention
    Normal children

    For children aged 1-4, 2 developmental behavioral specialists with associate professor titles or above exclude language barriers.

  • No intervention
    Healthy children

    Children aged 3-6, except ADHD with 2 developmental behavioral and/or psychiatrists with associate professor titles or above.

Interventions

  • OtherFunctional Training.

    Based on the modularization of "core ability improvement", "specific ability improvement and ability strategy acquisition", "learning problems and interpersonal relationships", "social adaptation"; and other programs, sometimes combined with computer-aided cognitive training, parenting behavior management training and/or mindfulness training, aerobic exercise and other intervention forms, can achieve personalized functional training intervention for children. Use brain near-infrared imaging technology to capture multimodal neuroimaging features of young children; use high-precision repetitive transcranial direct current stimulation technology to conduct positive neural enhancement and adjustment training on the target brain area. Based on physical therapy stimulation, neuromodulation improves core symptoms in children.

  • OtherObserve.

    Children with language disorders and ADHD were recruited at an early age when symptoms first appeared. Professional assessments were conducted to evaluate clinically relevant developmental and cranial nerve function indicators using near-infrared brain imaging technology. Follow-up was conducted for two years, and the outcome indicators were language disorder and attention deficit hyperactivity disorder.

06

What researchers measure

Primary outcomes

  1. Changes in the Gesell Developmental Scale(GDS).

    Children are followed up every 6 months, and at each follow-up point, the GDS is used to assess children and obtain their comprehensive scores in various developmental domains. These domains may include motor development, gross and fine motor coordination, language and communication, cognitive and thinking abilities. The score range for language development is 0-100, where a higher score indicates a more excellent level of development in the field, in line with age expectations, while a lower score may indicate a lag or issues in the development of that field.

    Time frame: 2 years

  2. Changes in Infants-Junior High School Students'Social Development Screening Test.

    The scores obtained from the Infant to Middle School Student Social Life Skills Scale (S-M) at each 3-month follow-up reflect the social interaction, communication skills, and adaptation to social environments of the participants at different follow-up stages. The score range for the Infants-Junior High School Students' Social Development Screening Test varies depending on the specific assessment tool used. Generally, the scores may range from 0 to 100 or may be presented in percentile ranks. In general, a higher score indicates that the individual's social development is more advanced and aligned with age expectations. On the other hand, a lower score might suggest developmental lags or challenges in social skills.

    Time frame: 2 years

  3. Changes in Dream-Infant-Toddler Language Communication Screening(DREAM-IT-S)

    The scores obtained from the Dream-Infant-Toddler Language Communication Screening (DREAM-IT-S) administered at each 3-month follow-up reflect the language abilities of children.The total score range of DREAM-IT-S is between 0 and 10, where a lower score indicates better language communication ability, while a higher score suggests potential delays or obstacles in language development.

    Time frame: 2 years

  4. Changes in Dreaming Children's Language Standardized Assessment (DREAM-C)

    The scores obtained from the Dream-Infant-Toddler Language Communication Screening (DREAM-IT-S) and Dreaming Children's Language Standardized Assessment (DREAM-C) administered at each 3-month follow-up reflect the language abilities of children. The total score range of DREAM-C can vary depending on the specific assessment criteria, but it typically falls within a predetermined range. The exact range depends on the design of the assessment tool and scoring system, but generally, it may be scored on a scale from 0 to 100 or other values. Lower scores indicate stronger language abilities and effective communication skills, while higher scores may suggest potential language development delays or communication barriers.

    Time frame: 2 years

  5. Changes in Wechsler Preschool and Primary Scale of Intelligence, Fourth Edition (WPPSI-IV) .

    Conducting follow-up assessments every 6 months using the Wechsler Preschool and Primary Scale of Intelligence, Fourth Edition (WPPSI-IV) scores reflect the cognitive and intellectual development of children at different follow-up points. The total score range of WPPSI-IV is in percentage (from 0 to 100), where higher scores indicate stronger abilities in the corresponding domains.

    Time frame: 2 years

  6. Changes in Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV).

    Conducting follow-up assessments every 6 months using the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) scores reflect the cognitive and intellectual development of children at different follow-up points. The total score range of WISC-IV is in percentage (from 0 to 100), where higher scores indicate stronger abilities in the corresponding domains.

    Time frame: 2 years

  7. Changes in Child Behavior Checklist (CBCL)

    Conducting follow-up assessments every 3 months using the Child Behavior Checklist (CBCL) scores reflects the emotional and behavioral issues of children at different follow-up points.The scores on the CBCL typically range from 0 to 100, and higher scores may indicate that children are experiencing difficulties in behavior and emotional problems.

    Time frame: 2 years

  8. Changes in the Vanderbilt Assessment Scale

    The use of the Vanderbilt Assessment Scale scores in follow-up visits every three months reflects the ADHD symptomatology of children at different follow-up milestones. The total score of the Vanderbilt Assessment Scale can range from 0 to 54. A higher score indicates a greater likelihood of ADHD symptoms or difficulties with attention and behavior.

    Time frame: 2 yaers

  9. Changes in Questionnaire-Children with Difficulties.

    Follow-up assessments every 3 months, using the Questionnaire-Children with Difficulties (QCD) scores, reflect children's psychological issues and behavioral difficulties. The scoring range of the QCD questionnaire may vary depending on the specific version or rating system. For example, certain rating systems may categorize scores into levels of severity such as mild, moderate, or severe difficulties. Higher scores may indicate higher levels of psychological difficulties or disorders. Conversely, lower scores may suggest fewer problems or mild manifestations.

    Time frame: 2 years

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Wolraich ML, Bard DE, Neas B, Doffing M, Beck L. The psychometric properties of the Vanderbilt attention-deficit hyperactivity disorder diagnostic teacher rating scale in a community population. J Dev Behav Pediatr. 2013 Feb;34(2):83-93. doi: 10.1097/DBP.0b013e31827d55c3. PubMed 23363973 ↗
  • Elvsashagen T, Shadrin A, Frei O, van der Meer D, Bahrami S, Kumar VJ, Smeland O, Westlye LT, Andreassen OA, Kaufmann T. The genetic architecture of the human thalamus and its overlap with ten common brain disorders. Nat Commun. 2021 May 18;12(1):2909. doi: 10.1038/s41467-021-23175-z. PubMed 34006833 ↗
  • Kim JH, Kim JY, Lee J, Jeong GH, Lee E, Lee S, Lee KH, Kronbichler A, Stubbs B, Solmi M, Koyanagi A, Hong SH, Dragioti E, Jacob L, Brunoni AR, Carvalho AF, Radua J, Thompson T, Smith L, Oh H, Yang L, Grabovac I, Schuch F, Fornaro M, Stickley A, Rais TB, Salazar de Pablo G, Shin JI, Fusar-Poli P. Environmental risk factors, protective factors, and peripheral biomarkers for ADHD: an umbrella review. Lancet Psychiatry. 2020 Nov;7(11):955-970. doi: 10.1016/S2215-0366(20)30312-6. PubMed 33069318 ↗
  • Chang JP, Su KP, Mondelli V, Pariante CM. Omega-3 Polyunsaturated Fatty Acids in Youths with Attention Deficit Hyperactivity Disorder: a Systematic Review and Meta-Analysis of Clinical Trials and Biological Studies. Neuropsychopharmacology. 2018 Feb;43(3):534-545. doi: 10.1038/npp.2017.160. Epub 2017 Jul 25. PubMed 28741625 ↗
  • Zhao J, Yu Z, Sun X, Wu S, Zhang J, Zhang D, Zhang Y, Jiang F. Association Between Screen Time Trajectory and Early Childhood Development in Children in China. JAMA Pediatr. 2022 Aug 1;176(8):768-775. doi: 10.1001/jamapediatrics.2022.1630. Erratum In: JAMA Pediatr. 2022 Aug 1;176(8):829. doi: 10.1001/jamapediatrics.2022.2622. PubMed 35666518 ↗

Individual participant data

Plan to share: No — Data is confidential during the study.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Dec 2022 (actual). Primary completion is estimated for Jun 2025, 30 months after the start.

Of 479 non-industry interventional studies with no phase under Attention Deficit Disorder with Hyperactivity, half reached primary completion within 24 months of starting (the median), counting those still running; a quarter within 11 and three quarters within 43. This study's planned 30 months is above that.

Counting every sponsor, half of 510 studies reached it within 23 months; a quarter within 11 and three quarters within 41.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 31, 2023
First posted
Sep 6, 2023
StartActual
Dec 7, 2022
Primary completionEst.
Jun 15, 2025
CompletionEst.
Dec 10, 2025
Last update
Sep 6, 2023
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 6, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06025890
Lead sponsor
Chen Li
Collaborators
Southeast University, China, East China Normal University, Shanghai Children's Medical Center, Seventh Medical Center of PLA Army General Hospital
Responsible party
Chen Li (Associate Professor, Director, Children's Hospital of Chongqing Medical University) — Sponsor-investigator
First posted
Sep 6, 2023
Start date
Dec 7, 2022
Primary completion
Jun 15, 2025 (estimated)
Completion
Dec 10, 2025 (estimated)
Last update
Sep 6, 2023

Study contacts

Li Chen, doctor
Contact
chenli2012@126.com
136 7762 0103 ext. +86
Li Chen, doctor
study director · Children's Hospital of Chongqing Medical University

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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