bioRxiv preprint doi: https://doi.org/10.1101/2020.07.08.194290; this version posted July 10, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. The Cuban Human Brain Mapping Project population based normative EEG, MRI, and Cognition dataset. Authors: Pedro A. Valdes-Sosa1,2*+, Lidice Galan2*, Jorge Bosch-Bayard3,2,1*, Maria L. Bringas Vega1,2*, Eduardo AuBert Vazquez2*, Samir Das3, Trinidad Virues AlBa2, Cecile MadJar3, Zia Mohades3, Leigh C. MacIntyre3, Christine Rogers3, Shawn Brown3, Lourdes Valdes Urrutia2, Iris Rodriguez Gil2, Alan C. Evans3+, Mitchell J. Valdes Sosa1,2+ *Co-first authors +Co-corresponding authors Affiliations: 1The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Sciences and Technology of China, Chengdu China 2CuBan Center for Neuroscience, La Habana, CuBa 3McGill Centre for Integrative Neurosciences MCIN. Ludmer Centre for Mental Health. Montreal Neurological Institute, McGill University, Montreal, Canada Abstract The CuBan Human Brain Mapping ProJect (CHBMP) repository is an open multimodal neuroimaging and cognitive dataset from 282 healthy participants (31.9 ± 9.3 years, age range 18–68 years). This dataset was acquired from 2004 to 2008 as a suBset of a larger stratified random sample of 2,019 participants from La Lisa municipality in La Habana, CuBa. The exclusion included presence of disease or Brain dysfunctions. The information made available for all participants comprises: high-density (64-120 channels) resting state electroencephalograms (EEG), magnetic resonance images (MRI), psychological tests (MMSE, Wechsler Adult Intelligence Scale -WAIS III, computerized reaction time tests using a go no- go paradigm), as well as general information (age, gender, education, ethnicity, handedness and weight). The EEG data contains recordings with at least 30 minutes duration including the following conditions: eyes closed, eyes open, hyperventilation and suBsequent recovery. The MRI consisted in anatomical T1 and T2 as well as diffusion weighted (DWI) images acquired on a 1.5 Tesla system. The data is available for registered users on the LORIS database which is part of the MNI neuroinformatics ecosystem. Background & Summary In the past decade, several healthy and patient neuroimaging databases of (ADNI, HCP, UK BioBank, CAMCAN, ABCD, PPMI) as well as consortia (ENIGMA) have Been launched. They aim to accelerate discovery of insights into neurodevelopment and physiopathology, and to allow bioRxiv preprint doi: https://doi.org/10.1101/2020.07.08.194290; this version posted July 10, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. the identification of new Biomarkers of disease with their integration into disease progression models. An essential ingredient, lacking many of these proJects, is the inclusion of data from the electroencephalograms (EEG) as one of the most informative and direct measurement of Brain activity--recordable at the same time scale of neural processes. At the same time, EEG is a cost effective and accessiBle neuroimaging modality that is applicable to underserved populations in all countries. It is now clear that EEG is a technique of choice for extensive population screening in any economic setting. This situation is Being remedied with the collection and puBlication of open datasets such as 1,2. This paper is an addition to the set of open multimodal datasets, having Been originated in a Latin American middle-income country--the CuBan Human Brain Mapping ProJect (CHBMP) 3. This is a population-Based, decades long, Brain health data gathering effort in Havana CuBa. This still ongoing proJect is organized By the CuBan Ministry of PuBlic Health (MINSAP) and coordinated By the CuBan Center for Neuroscience (CNEURO). The CHBMP focuses on the development of tools and health applications Based on multimodal neuroimaging. Making this dataset open is part of the Cuba-Canada-China (CCC) and the GloBal Brain Consortium (GBC strategy for open science, not only directed to integrate EEG neuroimaging as an essential component of future multimodal Neuroimaging proJects, But also to serve as a “translational Bridge” for resource limited scenarios in all countries. This has Been made possiBle By integration of the CHBMP efforts into the MNI neuroinformatics ecosystem, Based on the CBRAIN processing portal for the processing modules and the use of the LORIS database system4 for data storage and open access. This added value of the dataset is due to the health-oriented focus of the entire CHBMP which we now Briefly summarize. The emphasis of the CHBMP has Been on quantitative evaluation, known as “qEEG” 5. qEEG has Been shown to identify Brain disorders in a wide variety of settings and therefore a candidate for use as a screening tool. In qEEG, the scalp recorded EEG log spectra of a proBand are compared with normative spectra By means of a statistical parametric mapping procedure These normative spectra are oBtained as age dependent means and standard deviations of the EEG log spectra of large sample of healthy participants. The age dependent norms are regressions of log-spectra over a wide age range. An EEG normative database is thus a prerequisite for qEEG. The need for a CuBan normative database for qEEG 6 thus prompted the first wave of the CHBMP, initiated in 1988. This first database included 211 healthy persons from age 5 to 97 years. The participants were randomly selected from the CuBan population and screened By the Family Doctor system to include only healthy participants. This database was used to develop a high resolution qEEG validated By the CuBan Health system 7,8. It also promted the devlopment of qEEG for sources (qEEGt). Due to the unavailability of MRI in CuBa during the first wave CHBM, an “approximate qEEGt” was Based on the average head model developed By the ICBM consortium 9,10. This first wave EEG dataset has being suBmitted separately 11 at Frontiers. Procedures to apply qEEG and qEEGt processing Based on this dataset have Been integrated into CBRAIN12. At the end of the first wave of the CHBMP, it was recognized that qEEGt as in 13, Based on individual MRI is important, not only to validate approximate qEEG, But also as a Basis for multimodal neuroimaging studies of normal and pathological Brain function. Thus, the need for a multimodal neuroimaging database was considered essential and planned for the time when MRI was available in CuBa. This was the motivation for the second wave of the CHBMP, bioRxiv preprint doi: https://doi.org/10.1101/2020.07.08.194290; this version posted July 10, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Between 2004 to 2008 as one of the proJects for the National Program for Disability carried out at that time By the CuBan government. As in the first wave of the CHBMP the participants were recruited from the general population with a stratified randomized sampling of the population. This yielded 2,019 candidates, which were then screened, initially By the Family Nurses and Doctors, and later by extensive clinical, neurological, psychological, and neuroimaging evaluations in order to exclude participants with Brain disorders, addictive habits or ill health. This resulted in a final sample of 282 “functionally healthy” participants. The recording protocol included high resolution EEG, T1 and T2 MRI, DWI, and psychological tests such as MMSE, Wechsler Adult Intelligence Scale (WAIS III), computerized reaction time, as well as the collection of Blood samples for a genome wide association study (GWAS) to Be descriBed in a separate further puBlication. It is to Be noted that the third wave of the CuBan Human Brain ProJect was launched in 2019 and will Be a large study of elderly suBJects including a 10-year follow-up of the second wave CHBMP sample. Methods Participants The CuBan Human Brain Mapping ProJect second-wave database contains neuroimaging, medical and cognitive data from, 282 “functionally healthy” participants from the general CuBan population Between ages 18-68, (31.9 ± 9.30), comprising 87 (36.5±10.43) females and 195 (29.9 ±7.97) males. Details of the demographical variable frequency of gender, self- referenced handedness and educational level are presented in Table I. Table I: Demographic description of the sample Categories N (% ) Gender Female 87 (30.85%) Male 195 (69.14%) Handedness Right 151 (53.54%) Left 10 (3.54%) AmBidexter 4 (1.41%) Missing 117 (41.48%) Education Secondary School 161 (57.09%) High school 72 (20.53%) University 39 (13.82%) Missing 10 (3.54%) Ethics.- This study was carried out in accordance with the Declaration of Helsinki 14. The experimental protocols were approved By the Ethical Review Committee of the CuBan Center for Neuroscience using the guidelines of the PuBlic Health (MINSAP from Spanish) and the Science, Technology and Environment Ministries of the RepuBlic of CuBa (CITMA from Spanish). Participants included in the study signed a written consent after a house visit By the Primary Health care nurse who gave a verBal and written explanation of the purpose, risks bioRxiv preprint doi: https://doi.org/10.1101/2020.07.08.194290; this version posted July 10, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license.