[BIC-announce] Special Lecture - "Multimodal quantitative neuroimaging databases and methods: the Cuban Human Brain Mapping Project." - Dr. Pedro Valdez-Sosa - Tuesday, May, 17th. at 1:00 p.m., de Grandpre Communications Centre

[R. ADALAT]

Hi everybody,

Please, see below the info for a special lecture by Dr. Pedro Valdez-Sosa
on Tuesday, May, 17th. at 1:00 p.m. at de Grandpre Communications Centre.


See you there,
rz >>



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*Title:* Multimodal quantitative neuroimaging databases and methods: the
Cuban Human Brain Mapping Project.

*Presenter:* Dr. Pedro A. Valdes-Sosa "Director of the Joint China-Cuba Lab
for Frontiers Research in Translational Neurotechnology, UESTC, Chengdu,
China" and "Vice director for Research at the Cuban Neuroscience Center,
Habana, Cuba."

*Abstract:* This presentations 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.

*Quick bio: *Professor Pedro Antonio Valdes-Sosa is the General
Vice-Director for Research of the Cuban Neuroscience Center; of which he
was the co-founder in 1990. Since 2013 he is also a Distinguished Professor
of Neuroinformatics at the University of Electronic Science and Technology
of China. In 2015 he was awarded the “1000 talent foreign professorhip” of
China, and was designated as the Director of the Joint China-Cuba
Laboratory for Frontier Research in Translational Neurotechnology. He is a
senior professor of the Higher Institute for Medical Sciences, full member
of the Cuban Academy of Sciences, full member of the Latin American Academy
of Sciences and ex officio Program Chair of the Organization for Human
Brain Mapping.

Dr. Valdes-Sosa studied medicine at the University of Havana and graduated
in 1972. During his medical studies he was part of the team working
developing ERP multivariate statistical software the first Cuban
microcomputer (1970). He also got a B.Sc. in Mathematics in 1973. He
obtained his Ph.D. in 1978. In 1979 he undertook his postdoctoral training
on “Neurometrics and Computational Techniques” and “Biophysical Modeling of
brain electrical activity” with Prof. E. Roy John at the Brain Research Lab
of New York University USA. In 2011 Cuban National Science Degree Council
granted him a Doctorate in Science as a Lifetime Achievement Award for his
pioneering contribution to Quantitative, EEG and Neuroimaging.

He is the author of the VARETA technique for EEG source imaging and other
techniques for MRI, MEG, fMRI analysis. His papers (more than 180 with H
index of 42) have appeared in many of the major electrophysiological and
neuroimaging. In the Proceedings of the IEEE in 2015 he published one of
his most recent paper “Tensor Analysis and Fusion of Multimodal Brain
Images”, which for the first time introduced that Granger causal analysis
of brain networks as a tensor regression problem, thus allowing the atomic
decomposition of brain networks.


*Emails:* <peter_valdes at yahoo.com> <
pedro.valdes at neuroinformatics-collaboratory.org>.

*Publications:* <http://scholar.google.com/citations?user=0M2PVJIAAAA>.

*Webpages:* <http://en.wikipedia.org/wiki/Pedro_Antonio_Valdes-Sosa> <
http://www.neuroinformatics-collaboratory.org/>.

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