Fingerprints as Predictors of Schizophrenia: A Deep Learning Study

Background and hypothesis: The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potential use of fingerprints as risk markers in schizophrenia. However, the high complexity of fingerprints geometrical patterns may require flexible algorithms capable of characterizing such complexity. Study design: Based on an initial sample of scanned fingerprints from 612 patients with a diagnosis of non-affective psychosis and 844 healthy subjects, we have built deep learning classification algorithms based on convolutional neural networks. Previously, the general architecture of the network was chosen from exploratory fittings carried out with an independent fingerprint dataset from the National Institute of Standards and Technology. The network architecture was then applied for building classification algorithms (patients vs controls) based on single fingers and multi-input models. Unbiased estimates of classification accuracy were obtained by applying a 5-fold cross-validation scheme. Study results: The highest level of accuracy from networks based on single fingers was achieved by the right thumb network (weighted validation accuracy = 68%), while the highest accuracy from the multi-input models was attained by the model that simultaneously used images from the left thumb, index and middle fingers (weighted validation accuracy = 70%). Conclusion: Although fitted models were based on data from patients with a well established diagnosis, since fingerprints remain lifelong stable after birth, our results imply that fingerprints may be applied as early predictors of psychosis. Specially, if they are used in high prevalence subpopulations such as those of individuals at high risk for psychosis.This work was supported by several grants funded by the Instituto de Salud Carlos III and the Spanish Ministry of Science and Innovation (co-funded by the European Regional Development Fund/European Social Fund “Investing in your future”): Miguel Servet Research Contract (CPII13/00018 to RS, CPII16/00018 to EP-C, CP20/00072 to MF-V), PFIS Contract (FI19/0352 to MG-R). Research Mobility programme (MV18/00054 to EP-C), Research Projects (PI18/00877 and PI21/00525 to RS). It has also been supported by the Centro de Investigación Biomédica en Red de Salud Mental and the Generalitat de Catalunya: 2014SGR1573 and 2017SGR1365 to EP-C and SLT008/18/00206 to IF-R from the Departament de Salut. The authors have declared that there are no conflicts of interest in relation to the subject of this study.S

Interpretación de anomalías magnéticas: El dique-falla de Messejana-Plasencia

Peer reviewe

Mineral resources and geochemical exploration in PLANAGEO (Angola)

[EN] PLANAGEO is an international Project developed by the Spanish Geological Survey (IGME), Portugal Geological Survey (LNEG) and Asturian company (IMPULSO) for 8 years (2014-2022) in the south part of Angola (476.500 Km2). This project has four main activities: 1) Aerogeophysical surveys, 2) Geological mapping, 3) Geochemical exploration and 4) Specific studies (Mineral resources exploration, hydrogeological studies and ornamental rock and industrial mineral exploration).Peer reviewe

Geographical Information System (GIS) and data base of Planageo Project

[EN] The main objective of the PLANAGEO Project is to obtain continuous geological mapping at a scale of 1:250,000 for the entire Angolan territory, generating a systematic and homogeneous knowledge of the country. This geological information has been the basis for other specific works at different scales in areas of interest, such as the Regional Geochemical Map of Angola at a scale of 1:250,000, the Geological Map at a scale of 1:100,000, the Map of Metallic Resources and the Map of Industrial Rocks and Minerals (RMR), at a scale of 1:50,000.Peer reviewe

Gravimetric approach to the outstanding Kunene Complex (SW Angola): dimensions from modelling

[EN] The Kunene Complex (KC) represents a large igneous body, mainly composed of anorthosites and gabbroic rocks, extending from the Quipungo region, SW Angola, to the Zebra Mountains of northwest Namibia. The exposed portion of the KC is about 18000 km2, being studied from a cartographic and geochemical point of view but little is known about its extension and its structure at depth below the sedimentary deposits of the Kalahari basin. We use available gravity data to estimate its extent and to understand the deep-crustal structure. The Bouguer anomaly map depicts a gravity gradient from W to E interrupted by the outcropping of KC. Five 2.5D gravity profiles have been modelled to investigate the unexposed eastern boundary, reconstructing the superficial crustal structure covered by the thin sedimentary cover of the Kalahari basin. The KC, emplaced during the Mesoproterozoic in the Upper Crust, extends in depth up to ca. 6 km, showing a lobular structure and conforming a large NE-SW to NNE-SSW-trending structure, presumably inherited from older Palaeoproterozoic structures. The lateral continuation of the KC, beneath the Kalahari sediments, suggests an overall size of at least twice the dimension (about 37500 km2) of the currently exposed materials, increasing its economic mineralization potential.Peer reviewe

Hydrogelogical potential of the Kalahari basin in Angola

[EN] The Kalahari Basin is the largest sandy basin of tectonic origin. Developed over the Congo Craton, it covers part of the national territories of Botswana, Namibia, Angola, Zambia, Zimbabwe and South Africa, approximately 2.5 million km2. The sedimentary fill comprises rocks and sediments from Upper Cretaceous to Quaternary age, which were deposited mainly during periods when the Basin was subject to extensive geodynamic regimes.Peer reviewe

The gravimetric method for the study of basic-ultrabasic plutonic complex in the SW Angola: geometry of the intrusions and their relation to metallic mineralization

Congreso realizado en Toledo del 28 de noviembre al 1 de diciembre de 2022.[EN] Angola is worldwide known as being one of the countries with the highest mineral resources, mainly diamonds, iron and gold. In the southwestern area, close to Lola, Quilengues and Lubango cities, distinct outcrops of Palaeoproterozoic (eburnean) igneous rocks, basic-intermediate in composition (gabbros, diorites and quartz-diorites), are found together with scarce ultrabasic (dunites, peridotites and hornblendites) bodies, which presumably contain Ni, Cr, Co and/or Platinum elements. We use gravity data in three selected structures (Quilengues, Cacimbas and Lola), with similar characteristics (diorites and quartz-diorites bodies with some hornblenditic units) with the aim to study the deep geometry and to evaluate the ore potential. Each structure has been studied with a series of gravimetric profiles, ca. 400 m apart and 100 m separation in between stations, achieving 997 gravity stations. We use the new Czech gravimeter Galileo LG1 (this survey serves to implement it during fieldwork). We use differential GPS by setting a base in each of the structures and connecting the GPS with radio connection, thus calculating the coordinates in real time. With this instrumentation and methodology, we achieve accuracies in accordance with the ranges established in this type of campaign. After obtaining the Bouguer anomaly map, residual anomaly maps have been deduced by adjusting a regional trend; they depict some relative maximum in areas where the ultramafic bodies (bearing base metals) draw sparse outcrops, suggesting higher volumes in depth. 2.5D gravimetric models show laccolithic intrusions, about 5 km of mainly dioritic bodies, with some scarce ultramafic rocks up to 3 km depth.Peer reviewe