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Digital behavioural signatures reveal trans-diagnostic clusters of Schizophrenia and Alzheimer's disease patients
Kas MJH, Jongs N, Mennes M, Penninx BWJH, Arango C, van der Wee N, Winter-van Rossum I, Ayuso-Mateos JL et al.. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology, 2023-10-19
Topic: Risk, prevention and care in population studies
The current neuropsychiatric nosological categories underlie pragmatic treatment choice, regulation and clinical research but does not encompass biological rationale. However, subgroups of patients suffering from schizophrenia or Alzheimer's disease have more in common than the neuropsychiatric nature of their condition, such as the expression of social dysfunction. The PRISM project presents here initial quantitative biological insights allowing the first steps toward a novel trans-diagnostic classification of psychiatric and neurological symptomatology intended to reinvigorate drug discovery in this area. In this study, we applied spectral clustering on digital behavioural endpoints derived from passive smartphone monitoring data in a subgroup of Schizophrenia and Alzheimer's disease patients, as well as age matched healthy controls, as part of the PRISM clinical study. This analysis provided an objective social functioning characterization with three differential clusters that transcended initial diagnostic classification and was shown to be linked to quantitative neurobiological parameters assessed. This emerging quantitative framework will both offer new ways to classify individuals in biologically homogenous clusters irrespective of their initial diagnosis, and also offer insights into the pathophysiological mechanisms underlying these clusters.
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APA 7th
Kas, M. J. H., Jongs, N., Mennes, M., Penninx, B. W. J. H., Arango, C., van der Wee, N., et al. (2024). Digital behavioural signatures reveal trans-diagnostic clusters of Schizophrenia and Alzheimer's disease patients. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology. https://doi.org/10.1016/j.euroneuro.2023.09.010
Vancouver
Kas MJH, Jongs N, Mennes M, Penninx BWJH, Arango C, van der Wee N, et al. Digital behavioural signatures reveal trans-diagnostic clusters of Schizophrenia and Alzheimer's disease patients. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology. 2024. doi:10.1016/j.euroneuro.2023.09.010. PMID: 37864982.
BibTeX
@article{kas2024-37864982,
author = {Kas, M. J. H. and Jongs, N. and Mennes, M. and Penninx, B. W. J. H. and Arango, C. and van der Wee, N. and Winter-van Rossum, I. and Ayuso-Mateos, J. L. and others},
title = {{Digital behavioural signatures reveal trans-diagnostic clusters of Schizophrenia and Alzheimer's disease patients}},
journal = {European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology},
year = {2024},
doi = {10.1016/j.euroneuro.2023.09.010},
pmid = {37864982},
url = {https://doi.org/10.1016/j.euroneuro.2023.09.010}
}
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Key findings
- However, subgroups of patients suffering from schizophrenia or Alzheimer's disease have more in common than the neuropsychiatric nature of their condition, such as the expression of social dysfunction.
- The PRISM project presents here initial quantitative biological insights allowing the first steps toward a novel trans-diagnostic classification of psychiatric and neurological symptomatology intended to reinvigorate drug discovery in this area.
- In this study, we applied spectral clustering on digital behavioural endpoints derived from passive smartphone monitoring data in a subgroup of Schizophrenia and Alzheimer's disease patients, as well as age matched healthy controls, as part of the PRISM clinical study.
- This analysis provided an objective social functioning characterization with three differential clusters that transcended initial diagnostic classification and was shown to be linked to quantitative neurobiological parameters assessed.
- This emerging quantitative framework will both offer new ways to classify individuals in biologically homogenous clusters irrespective of their initial diagnosis, and also offer insights into the pathophysiological mechanisms underlying these clusters.
Study details
- Evidence strengthLow
How this study scored 41/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, 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 24 of the 58 points we could judge it on, which is 41 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 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 | 2 / 2 | Indexed in PubMed (PMID 37864982) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 24 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 24 of the 58 points we could judge it on is 41 out of 100. |
| Total | 41 / 100 | — |
What each of these 20 components measures, and what this score is not →
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