ANDES schizophrenia MRI (six Latin American cities)
Latin American Network for the Study of Early Psychosis (ANDES), multi-site structural MRI sample
Structural brain MRI of patients with schizophrenia and healthy controls from six Latin American cities, pooled to study how neighbourhood poverty and violence relate to grey matter volume. 334 patients and 262 controls, with neighbourhood income and homicide rates. On request only.
Overview
The ANDES network (Latin American Network for the Study of Early Psychosis) is a consortium of psychosis research groups from Argentina, Bolivia, Brazil, Chile, Colombia and Mexico, coordinated from the Pontificia Universidad Católica de Chile. Six of its imaging groups pooled structural brain MRI of people with schizophrenia and healthy controls to study how neighbourhood poverty and violence relate to grey matter volume. This entry covers that pooled sample, including the Santiago (Chile) site, as described by Crossley et al. (2021).
Composition
The analysis included 334 patients with schizophrenia or schizophreniform disorder under 50 years of age and 262 healthy controls, from seven samples in Buenos Aires, Porto Alegre, São Paulo, Santiago, Medellín and Mexico City (two samples). Mean age was 29.4 years in patients and 28 in controls. The Santiago site contributed 52 inpatients aged 15 to 25 with a first episode of non-affective psychosis and 49 controls; Mexico City also recruited first-episode, antipsychotic-naive patients, and the other sites recruited chronic outpatients. Each participant has the average household income and homicide rate of their neighbourhood, taken from public government statistics (in Mexico, family income from hospital records).
Acquisition
Each site acquired a 3D T1-weighted scan on its own scanner and protocol: GE 3 T in Buenos Aires and Mexico City, Philips Ingenia 3 T in Santiago and Medellín, Philips Achieva 1.5 T in Porto Alegre and Siemens Magnetom Sonata 1.5 T in São Paulo. The supplement lists voxel size, TI, TE, TR and flip angle per site. The authors segmented the images with SPM12, built a DARTEL template, normalised to MNI space and harmonised the grey matter maps across scanners with ComBat.
Annotations
No image annotations. Labels are diagnosis, age, gender, symptom scores, illness duration, antipsychotic dose and the neighbourhood income and violence measures.
Known limitations
- Not public. The data are available from the corresponding author on reasonable request, and each site's senior author must give permission. No terms are published.
- Sex counts are given only as percentages, and per-site counts of scans per scanner are not reported separately for the two Mexico City samples.
- Inclusion criteria, diagnostic instruments and illness stage differ between sites.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 596 subjects.
Condition
Groups can overlap
- Schizophrenia 334 56%Age mean 29.4 ± 9.4
- Healthy control 262 44%Age mean 28 ± 8.3
Table 1 in Crossley et al. 2021, The British Journal of Psychiatry
Field strength
- 3 T 347 58%
- 1.5 T 249 42%
Table S1 in Crossley et al. 2021, The British Journal of Psychiatry, Supplementary Information
Country by condition
Reported cross table. A dot marks a cell the source does not give.
| Schizophrenia | Healthy control | |
|---|---|---|
| Brazil | 155 | 94 |
| Mexico | 62 | 54 |
| Chile | 52 | 49 |
| Argentina | 37 | 44 |
| Colombia | 28 | 21 |
Table 1 in Crossley et al. 2021, The British Journal of Psychiatry
Contrast / sequence
Groups can overlap
- T1-weighted 596 100%
Method: Preprocessing of images in Crossley et al. 2021, The British Journal of Psychiatry
Scanner vendor
- Philips 233 39%
- GE HealthCare 197 33%
- Siemens Healthineers 166 28%
Table S1 in Crossley et al. 2021, The British Journal of Psychiatry, Supplementary Information
Country
- Brazil 249 42%
- Mexico 116 19%
- Chile 101 17%
- Argentina 81 14%
- Colombia 49 8%
Table 1 in Crossley et al. 2021, The British Journal of Psychiatry
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Ask the authors or the data holder. No published process or terms, and access is at their discretion
The data availability statement says the data are available from the corresponding author (Nicolas A. Crossley), subject to permission from the senior author of each site, upon reasonable request.
No published license or data use terms
The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.
The paper's data availability statement gives no terms beyond a reasonable request and per-site permission. The ANDES network page cited in the paper (www.cyted.org/redes/ANDES) and the CYTED network page return 404.
What you can do
- Commercial use Not stated
- Not stated
- Train ML models Not stated
- Create derived data Not stated
- Publish results Not stated
What you can share
- Share the data Not stated
- Share derived data Not stated
- Share trained models Not stated
What you must do
- Cite or credit Not stated
- Share alike Not stated
- Sign an agreement Not stated
- Ethics approval Not stated
- Manuscript review Not stated
- Release code Not stated
- Return results Not stated
- Delete after use Not stated
Limits
- No re-identification Not stated
- Location limits Not stated
Citation
Crossley NA, Zugman A, Reyes-Madrigal F, Czepielewski LS, Castro MN, Diaz-Zuluaga AM, Pineda-Zapata JA, Reckziegel R, Gadelha A, Jackowski A, Noto C, Alliende LM, Iruretagoyena B, Ossandon T, Ramirez-Mahaluf JP, Castañeda CP, Gonzalez-Valderrama A, Nachar R, León-Ortiz P, Undurraga J, López-Jaramillo C, Guinjoan SM, Gama CS, de la Fuente-Sandoval C, Bressan RA, ANDES Network. Structural brain abnormalities in schizophrenia in adverse environments: examining the effect of poverty and violence in six Latin American cities. The British Journal of Psychiatry 218(2), 112-118 (2021). doi:10.1192/bjp.2020.143
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.