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Hybrid Computational-Human Synthesis of the Human Connectome Project: Network Stability, Lifespan Reorganization and Biomarker Potential
Arivoli S, Chavali S, Jagani J, Kulshrestha A, Jahanikia S.. Preprints.org, 2026-09-14
Topic: Brain imaging, connectivity and assessment
Launched in 2010 by the National Institutes of Health, the Human Connectome Project (HCP) represents a foundational initiative in systems neuroscience, designed to map the structural and functional architecture of the human brain. Despite its extensive impact, the expanding body of HCP-related research remains methodologically and thematically dispersed. To systematically assess this landscape, we conducted an AI-assisted, intensive review and systematic synthesis of 102 peer-reviewed publications that explicitly referenced the HCP. Using a hybrid computational-human analytic framework integrating natural language processing and manual validation, studies were categorized into six domains: cognition and learning, aging and development, mental health, neurological disorders, movement and motor skills, and behavior and personality. Quantitative and qualitative analyses revealed three dominant trends: (1) inter-individual connectivity patterns exhibit high stability, supporting their utility as neural fingerprints; (2) higher-order association networks undergo postnatal maturation and exhibit age-related decline, confirming lifespan-dependent reorganization; and (3) connectomic measures increasingly function as candidate biomarkers for neuropsychiatric and neurodegenerative disorders, including schizophrenia, Alzheimer's disease, and depression. Critical evaluation identified persistent methodological constraints, including limited spatial resolution in neuroimaging modalities, high attrition and cost in longitudinal paradigms, and data privacy risks associated with large-scale neuroinformatics. This synthesis demonstrates that while the HCP has substantially advanced mechanistic models of human brain organization, future progress will depend on integrating multimodal imaging with computational and AI-driven analytic frameworks. Our review shows that such advancements are essential to overcome current technical limitations and enable precision-level mapping of brain connectivity in health and disease.
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APA 7th
Arivoli, S., Chavali, S., Jagani, J., Kulshrestha, A., & Jahanikia, S. (2026). Hybrid Computational-Human Synthesis of the Human Connectome Project: Network Stability, Lifespan Reorganization and Biomarker Potential. Preprints.org. https://doi.org/10.20944/preprints202609.1063.v1
Vancouver
Arivoli S, Chavali S, Jagani J, Kulshrestha A, Jahanikia S. Hybrid Computational-Human Synthesis of the Human Connectome Project: Network Stability, Lifespan Reorganization and Biomarker Potential. Preprints.org. 2026. doi:10.20944/preprints202609.1063.v1.
BibTeX
@article{arivoli2026-3217595d,
author = {Arivoli, S. and Chavali, S. and Jagani, J. and Kulshrestha, A. and Jahanikia, S.},
title = {{Hybrid Computational-Human Synthesis of the Human Connectome Project: Network Stability, Lifespan Reorganization and Biomarker Potential}},
journal = {Preprints.org},
year = {2026},
doi = {10.20944/preprints202609.1063.v1},
url = {https://doi.org/10.20944/preprints202609.1063.v1}
}
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Key findings
- Quantitative and qualitative analyses revealed three dominant trends: (1) inter-individual connectivity patterns exhibit high stability, supporting their utility as neural fingerprints; (2) higher-order association networks undergo postnatal maturation and exhibit age-related decline, confirming lifespan-dependent reorganization; and (3) connectomic measures increasingly function as candidate biomarkers for neuropsychiatric and neurodegenerative disorders, including schizophrenia, Alzheimer's disease, and depression.
- Critical evaluation identified persistent methodological constraints, including limited spatial resolution in neuroimaging modalities, high attrition and cost in longitudinal paradigms, and data privacy risks associated with large-scale neuroinformatics.
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Study details
- Study designlongitudinal study
- Evidence strengthModerate
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 35 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 22 of the 62 points we could judge it on, which is 35 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (Preprints.org) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| Study design | 7 / 12 | A longitudinal study following the same people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 4 / 10 | Preprint — not yet peer-reviewed. Hosted on a preprint server. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 22 / 62 | Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 22 of the 62 points we could judge it on is 35 out of 100. |
| Total | 35 / 100 | Capped to 16 because this is not a peer-reviewed article. |
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