The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02806-8 |
| _version_ | 1797363699210518528 |
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| author | Pavel Prado Vicente Medel Raul Gonzalez-Gomez Agustín Sainz-Ballesteros Victor Vidal Hernando Santamaría-García Sebastian Moguilner Jhony Mejia Andrea Slachevsky Maria Isabel Behrens David Aguillon Francisco Lopera Mario A. Parra Diana Matallana Marcelo Adrián Maito Adolfo M. Garcia Nilton Custodio Alberto Ávila Funes Stefanie Piña-Escudero Agustina Birba Sol Fittipaldi Agustina Legaz Agustín Ibañez |
| author_facet | Pavel Prado Vicente Medel Raul Gonzalez-Gomez Agustín Sainz-Ballesteros Victor Vidal Hernando Santamaría-García Sebastian Moguilner Jhony Mejia Andrea Slachevsky Maria Isabel Behrens David Aguillon Francisco Lopera Mario A. Parra Diana Matallana Marcelo Adrián Maito Adolfo M. Garcia Nilton Custodio Alberto Ávila Funes Stefanie Piña-Escudero Agustina Birba Sol Fittipaldi Agustina Legaz Agustín Ibañez |
| author_sort | Pavel Prado |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T16:24:44Z |
| format | Article |
| id | doaj.art-dc7faa9efaed4ab48f3b0387d0e2997c |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-08T16:24:44Z |
| publishDate | 2023-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-dc7faa9efaed4ab48f3b0387d0e2997c2024-01-07T12:10:13ZengNature PortfolioScientific Data2052-44632023-12-0110111310.1038/s41597-023-02806-8The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgroundsPavel Prado0Vicente Medel1Raul Gonzalez-Gomez2Agustín Sainz-Ballesteros3Victor Vidal4Hernando Santamaría-García5Sebastian Moguilner6Jhony Mejia7Andrea Slachevsky8Maria Isabel Behrens9David Aguillon10Francisco Lopera11Mario A. Parra12Diana Matallana13Marcelo Adrián Maito14Adolfo M. Garcia15Nilton Custodio16Alberto Ávila Funes17Stefanie Piña-Escudero18Agustina Birba19Sol Fittipaldi20Agustina Legaz21Agustín Ibañez22Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezPhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad JaverianaLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezNeuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - Institute of Biomedical Sciences (ICBM), Neurocience and East Neuroscience Departments, Faculty of Medicine, University of ChileCentro de Investigación Clínica Avanzada (CICA), Facultad de Medicina-Hospital Clínico, Universidad de Chile, IndependenciaGrupo de Neurociencias de Antioquia de la Universidad de AntioquiaGrupo de Neurociencias de Antioquia de la Universidad de AntioquiaSchool of Psychological Sciences and Health, University of StrathclydePhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad JaverianaLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezGlobal Brain Health Institute, University of California San FranciscoUnit Cognitive Impairment and Dementia Prevention, Peruvian Institute of NeurosciencesGeriatrics Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador ZubiránGlobal Brain Health Institute, University of California San FranciscoLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezLatin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezAbstract 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.https://doi.org/10.1038/s41597-023-02806-8 |
| spellingShingle | Pavel Prado Vicente Medel Raul Gonzalez-Gomez Agustín Sainz-Ballesteros Victor Vidal Hernando Santamaría-García Sebastian Moguilner Jhony Mejia Andrea Slachevsky Maria Isabel Behrens David Aguillon Francisco Lopera Mario A. Parra Diana Matallana Marcelo Adrián Maito Adolfo M. Garcia Nilton Custodio Alberto Ávila Funes Stefanie Piña-Escudero Agustina Birba Sol Fittipaldi Agustina Legaz Agustín Ibañez The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds Scientific Data |
| title | The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds |
| title_full | The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds |
| title_fullStr | The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds |
| title_full_unstemmed | The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds |
| title_short | The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds |
| title_sort | brainlat project a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds |
| url | https://doi.org/10.1038/s41597-023-02806-8 |
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