National Brain Health Platform

Deep phenotyping across student brain health cohorts.

Selected cohort participants contribute clinical, neuroimaging, electrophysiological, sleep, activity, biological, speech, and facial-expression data. These nested assessments connect longitudinal survey trajectories with mechanisms while preserving the larger cohorts as the population framework.

Available in selected college subsamples Active or expanding collection Planned child and adolescent modules

ClinicalStructured diagnostic interviews and detailed symptom characterization.

MultimodalBrain imaging, electrophysiology, sleep physiology, activity, behaviour, and biological samples.

LinkedSubsample data are interpreted within cohort survey history and developmental context.

Modality catalogue

What has been collected, what is expanding, and what is planned.

Status refers to the current programme description and may vary by cohort, wave, and selected subsample. Exact sites and participant-level availability are handled through governed project documentation.

Structured clinical interviews

Available

SCID-based diagnostic characterization for selected college students, supporting validation of questionnaire-defined symptom profiles.

Cohort: College student subsamples
Data structure: Interview-derived diagnoses, symptom history, and clinical characterization

MRI and functional MRI

Available

Structural and functional neuroimaging designed to investigate neural correlates of mental health, sleep, pain, resilience, and somatic distress.

Cohort: College student subsamples
Data structure: Imaging sequences, derived features, and survey-linked phenotypes

One-week actigraphy

Active

Continuous activity and rest-wake monitoring that complements reported sleep timing, sedentary behaviour, and daily functioning.

Cohort: College student subsamples; extension to younger participants is being considered
Data structure: Epoch-level activity, sleep-wake estimates, and derived rhythm measures

Polysomnography

Available

Laboratory sleep physiology for characterizing sleep architecture, respiratory events, arousals, and objective sleep disturbance.

Cohort: Selected college student participants
Data structure: PSG signals, scored sleep stages, events, and summary indices

Electroencephalography

Expanding

EEG measures for neurophysiological characterization, including sleep-related or task/resting-state protocols depending on the substudy.

Cohort: College subsamples; planned child and adolescent expansion
Data structure: Raw signals, preprocessing outputs, spectral and event-related features

Functional near-infrared spectroscopy

Planned

Developmentally suitable functional brain measurement planned for selected child and adolescent participants.

Cohort: Child and adolescent subsamples
Data structure: Raw optical signals, quality-control outputs, and task-related hemodynamic features

Microbiota

Available

Microbiota data for studying gut-brain pathways in relation to mental health, sleep, pain, inflammation, and lifestyle.

Cohort: Selected college student participants
Data structure: Sample metadata, sequencing-derived features, and survey-linked exposures

Blood samples and biomarkers

Planned expansion

Biospecimen collection designed to support biological embedding, inflammatory, metabolic, and other mechanism-focused studies.

Cohort: Planned child and adolescent subsamples; availability in other substudies is project-specific
Data structure: Sample inventory, assay data, and cohort-linked phenotype metadata

Speech and facial-expression features

Planned

Multimodal behavioural signals planned to characterize affective expression, communication, and potential digital phenotypes.

Cohort: Child and adolescent subsamples
Data structure: Governed recordings and derived acoustic, linguistic, and facial features

Data linkage model

Deep phenotyping is nested within the cohort, not treated as a separate sample.

1. Cohort context

Demographics, family circumstances, education, social environment, and longitudinal survey history.

2. Symptom phenotype

Mental health, sleep, pain, somatic symptoms, resilience, behaviour, and functioning.

3. Multimodal assessment

Clinical, imaging, electrophysiological, activity, sleep, biological, speech, or facial-expression data.

4. Governed analysis

Project-specific linkage, quality control, ethics review, and analysis-ready derivation.

Collaboration

Discuss modality availability for a defined scientific question.

Exact sample sizes, acquisition protocols, linkage coverage, and processing status are provided through project-specific collaboration and data-use review.

chinabhp@126.com