Multimodal Quantitative Neuroimaging Databases and Methods: The Cuban Human Brain Mapping Project

Author:

Hernandez-Gonzalez Gertrudis1,Bringas-Vega Maria L.2,Galán-Garcia Lidice3,Bosch-Bayard Jorge4,Lorenzo-Ceballos Yenisleidy1,Melie-Garcia Lester4,Valdes-Urrutia Lourdes1,Cobas-Ruiz Marcia5,Valdes-Sosa Pedro A.6,

Affiliation:

1. Clinical Neuroscience Department, Cuban Neuroscience Center, Havana, Cuba

2. Neuropsychology Department, International Center for Neurological Restoration, Havana, Cuba

3. Neurostatistics Department, Cuban Neuroscience Center, Havana, Cuba

4. Neuroinformatic Department, Cuban Neuroscience Center, Havana, Cuba

5. Cuban Ministry of Public Health, Havana, Cuba

6. Scientific Research, Cuban Neuroscience Center, Havana, Cuba

Abstract

This article reviews the contributions of the Cuban Neuroscience Center to the evolution of the statistical parametric mapping (SPM) of quantitative Multimodal Neuroimages (qMN), from its inception to more recent work. Attention is limited to methods that compare individual qMN to normative databases (n/qMN). This evolution is described in three successive stages: (a) the development of one variant of normative topographical quantitative EEG (n/qEEG-top) which carries out statistical comparison of individual EEG spectral topographies with regard to a normative database — as part of the now popular SPM of brain descriptive parameters; (b) the development of n/qEEG tomography (n/qEEG-TOM), which employs brain electrical tomography (BET) to calculate voxelwise SPM maps of source spectral features with respect to a norm; (c) the development of a more general n/qMN by substituting EEG parameters with other neuroimaging descriptive parameters to obtain SPM maps. The study also describes the creation of Cuban normative databases, starting with the Cuban EEG database obtained in the early 90s, and more recently, the Cuban Human Brain Mapping Project (CHBMP). This project has created a 240 subject database of the normal Cuban population, obtained from a population-based random sample, comprising clinical, neuropsychological, EEG, MRI and SPECT data for the same subjects. Examples of clinical studies using qMN are given and, more importantly, receiver operator characteristics (ROC) analyses of the different developments document a sustained effort to assess the clinical usefulness of the techniques.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology,General Medicine

Reference94 articles.

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