The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

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Abstract

The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from Latin American. The dataset includes 530 patients with neurodegenerative diseases such as Alzheimer’s disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson’s disease (PD), and 250 healthy controls (HCs). This dataset (62.7 ± 9.5 years, age range 21–89 years) was collected through a multicentric effort across five Latin American countries to address the need for affordable, scalable, and available biomarkers in regions with larger inequities. The BrainLat is the first regional collection of clinical and cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted MRI (DWI), and high density resting-state electroencephalography (EEG) in dementia patients. In addition, it includes demographic information about harmonized recruitment and assessment protocols. The dataset is publicly available to encourage further research and development of tools and health applications for neurodegeneration based on multimodal neuroimaging, promoting the assessment of regional variability and inclusion of underrepresented participants in research.

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The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

Ziad S Nasreddine, Natalie Phillips, ValÃ©rie BÃ©dirian … (2005)

To develop a 10-minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first-line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia. Validation study. A community clinic and an academic center. Ninety-four patients meeting MCI clinical criteria supported by psychometric measures, 93 patients with mild Alzheimer's disease (AD) (Mini-Mental State Examination (MMSE) score > or =17), and 90 healthy elderly controls (NC). The MoCA and MMSE were administered to all participants, and sensitivity and specificity of both measures were assessed for detection of MCI and mild AD. Using a cutoff score 26, the MMSE had a sensitivity of 18% to detect MCI, whereas the MoCA detected 90% of MCI subjects. In the mild AD group, the MMSE had a sensitivity of 78%, whereas the MoCA detected 100%. Specificity was excellent for both MMSE and MoCA (100% and 87%, respectively). MCI as an entity is evolving and somewhat controversial. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.

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We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.

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The FAIR Guiding Principles for scientific data management and stewardship

Mark D Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg … (2016)

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

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Author and article information

Contributors

Agustín Ibañez:

ORCID: http://orcid.org/0000-0001-6758-5101

agustin.ibanez@gbhi.org

Journal

Journal ID (nlm-ta): Sci Data

Journal ID (iso-abbrev): Sci Data

Title: Scientific Data

Publisher: Nature Publishing Group UK (London )

ISSN (Electronic): 2052-4463

Publication date (Electronic): 9 December 2023

Publication date PMC-release: 9 December 2023

Publication date Collection: 2023

Volume: 10

Electronic Location Identifier: 889

Affiliations

[1 ]Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, ( https://ror.org/0326knt82) Santiago, Chile

[2 ]Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, ( https://ror.org/04jrwm652) Santiago, Chile

[3 ]PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, ( https://ror.org/03etyjw28) Bogotá, Colombia

[4 ]Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, ( https://ror.org/052d0td05) Bogotá, Colombia

[5 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Global Brain Health Institute, , University of California San Francisco, ; San Francisco, USA

[6 ]Global Brain Health Institute, Trinity College Dublin, ( https://ror.org/02tyrky19) Dublin, Ireland

[7 ]GRID grid.441741.3, ISNI 0000 0001 2325 2241, Cognitive Neuroscience Center (CNC), , Universidad de San Andrés & CONICET, ; Buenos Aires, Argentina

[8 ]Department of Neurology, Massachusetts General Hospital and Harvard Medical School, ( https://ror.org/002pd6e78) Boston, MA USA

[9 ]Departamento de Ingeniería Biomédica, Universidad de Los Andes, ( https://ror.org/02mhbdp94) Bogotá, Colombia

[10 ]Memory and Aging Clinic, University of California San Francisco, ( https://ror.org/043mz5j54) San Francisco, USA

[11 ]Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - Institute of Biomedical Sciences (ICBM), Neurocience and East Neuroscience Departments, Faculty of Medicine, University of Chile, ( https://ror.org/047gc3g35) Santiago de Chile, Chile

[12 ]GRID grid.424112.0, ISNI 0000 0001 0943 9683, Geroscience Center for Brain Health and Metabolism, (GERO), ; Santiago de Chile, Chile

[13 ]Memory and Neuropsychiatric Center (CMYN), Memory Unit – Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, ( https://ror.org/047gc3g35) Santiago de Chile, Chile

[14 ]GRID grid.412187.9, ISNI 0000 0000 9631 4901, Servicio de Neurología, Departamento de Medicina, , Clínica Alemana-Universidad del Desarrollo, ; Santiago de Chile, Chile

[15 ]Centro de Investigación Clínica Avanzada (CICA), Facultad de Medicina-Hospital Clínico, Universidad de Chile, Independencia, ( https://ror.org/047gc3g35) Santiago, 8380453 Chile

[16 ]Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Independencia, ( https://ror.org/02xtpdq88) Santiago, 8380430 Chile

[17 ]Departamento de Neurociencia, Facultad de Medicina, Universidad de Chile, Independencia, ( https://ror.org/047gc3g35) Santiago, 8380453 Chile

[18 ]GRID grid.412187.9, ISNI 0000 0000 9631 4901, Departamento de Neurología y Psiquiatría, , Clínica Alemana-Universidad del Desarrollo, ; Santiago, 8370065 Chile

[19 ]GRID grid.412881.6, ISNI 0000 0000 8882 5269, Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, ; Medellín, Colombia

[20 ]School of Psychological Sciences and Health, University of Strathclyde, ( https://ror.org/00n3w3b69) Glasgow, United Kingdom

[21 ]Mental Health Department, Hospital Universitario Fundación Santa Fe de Bogotá, Memory Clinic, ( https://ror.org/03ezapm74) Bogotá, Colombia

[22 ]Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, ( https://ror.org/02ma57s91) Santiago, Chile

[23 ]Unit Cognitive Impairment and Dementia Prevention, Peruvian Institute of Neurosciences, Lima, Peru

[24 ]Geriatrics Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, ( https://ror.org/00xgvev73) Mexico City, Mexico

[25 ]Instituto Universitario de Neurociencia, Universidad de La Laguna, ( https://ror.org/01r9z8p25) Tenerife, Spain

[26 ]Facultad de Psicología, Universidad de La Laguna, ( https://ror.org/01r9z8p25) Tenerife, Spain

Author information

Raul Gonzalez-Gomez http://orcid.org/0000-0003-2341-011X

Jhony Mejia http://orcid.org/0000-0002-0313-6902

David Aguillon http://orcid.org/0000-0003-2283-536X

Sol Fittipaldi http://orcid.org/0000-0001-7704-3349

Agustín Ibañez http://orcid.org/0000-0001-6758-5101

Article

Publisher ID: 2806

DOI: 10.1038/s41597-023-02806-8

PMC ID: 10710425

PubMed ID: 38071313

SO-VID: 7032f37d-8218-4027-99cf-592c20ba5827

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.