History
Processing, please wait...
Database
search
in
Filter year from
to
Language
Country
  • Enter your search phrase in the search box.
  • General search:
    • The Boolean operator AND between the terms is assumed by default. If you enter the words European Union in the search box, the system returns all records in which both words occur, regardless of their order.
    • When entering a set of words in quotes, e.g "european union", all records containing the literal term "European Union" will be retrieved.
  • Search by access fields (e.g. author, title, etc.):
    • To direct your search, choose the field in which you want to search the word or expression.
    • Search in the field assumes by default the expression in quotes, e.g. European union will retrieve all records containing the literal term "European Union"
  • To perform more complex searches, additional words or expressions may be added.
  • If you want to refine the search results, you can always access the link "search" in the upper left corner of the page of search results.
  • The search engine is not case sensitive. For example, the word congress has the same meaning that Congress or CONGRESS.
  • To truncate your search expression, use the $ character
  • You can filter the results of your search by a date or date range, filling the appropriate boxes.
Base:
BIAL Foundation
Search:
DE:"Classification"
Results
1
to
8
from
8
found.
View
Selection Description
Type Title Begin End
DocumentSingle trial classification of magnetoencephalographic recordings using granger causality2011

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2008
Location: Arquivo PCA - Pastas 1 a
Title:
2008 Grants
Start date: 2009-01

Reference code: PT/FB/BL-2008-032
Location: Arquivo PCA - Pasta 8/2008
Title:
032 - Conscious will and voluntary actions: is there a last ventriloquist in the brain?
Duration: 2009-04 - 2012-02
Researcher(s):
Jose Luis Perez Velazquez, Richard Wennberg, Luis Garcia Dominguez
Institution(s): Hospital for Sick Children, University of Toronto (Canada)
Contents: Contents:
Bursary agreement
Application form
Correspondence
Financial report and expenditure documents
Progress reports
Final report
Articles
Language: eng
Author:
Perez Velazquez, J. L.
Secondary author(s):
Wennberg, R., Garcia Dominguez, L.
Number of reproductions:
1
Keywords:
Psychophysiology / Cognitive processes / Decision-making / Brain structure and function

Reference code: PT/FB/BL-2008-032.03
Location: Arquivo PCA - Pasta 8/2008
Title:
Single trial classification of magnetoencephalographic recordings using granger causality
Publication year: 2011
URL:
http://www.ncbi.nlm.nih.gov/pubmed/21600926
Abstract/Results: ABSTRACT:
The use of Granger causality (GC) for studying dependencies in neuroimaging data has recently been gaining popularity. Several frameworks exist for applying GC to neurophysiological questions but many rely heavily on specific statistical assumptions regarding autoregressive (AR) models for hypothesis testing. Since it is often difficult to satisfy these assumptions in practical settings, this study proposes an alternative statistical methodology based on the classification of individual trials of data. Instead of testing for significance using statistics based on estimated AR models or prediction errors, hypotheses were tested by determining whether or not individual magnetoencephalography (MEG) recording segments belonging to either of two experimental conditions can be successfully classified using features derived from AR and GC concepts. Using this novel approach, we show that bivariate temporal GC can be used to distinguish button presses based on whether they were experimentally forced or free. Additionally, the methodology was used to determine useful parameter settings for various steps of the analysis and this revealed surprising insight into several aspects of AR and GC analysis which, previously, could not be obtained in a comparable manner. A final mean accuracy of 79.2% was achieved for classifying forced and free button presses for 6 subjects suggesting that classification using GC features is a viable option for studying MEG signals and useful for evaluating the effectiveness of parameter variations in GC analysis.
Accessibility: Document exists in file
Copyright/Reproduction:
By permission
Language:
eng
Author:
Kostelecki, W.
Secondary author(s):
Garcia Dominguez, L., Perez Velazquez, J. L.
Document type:
Article
Number of reproductions:
1
Reference:
Kostelecki, W., Garcia Dominguez, L., Perez-Velazquez, J. (2011). Single trial classification of magnetoencephalographic recordings using Granger causality. Journal of Neuroscience Methods, 199(2), 183-191. https://doi.org/10.1016/j.jneumeth.2011.04.032
2-year Impact Factor: 1.980|2011
Times cited: 3|2024-02-01
Indexed document: Yes
Quartile: Q3
Keywords: Granger causality / Autoregression models / Classification / Magnetoencephalography / Short trials

Novo ficheiro

Novo ficheiro
DocumentDoença de Machado-Joseph: Estudo clínico, patológico e epidemiológico de uma doença neurológica de origem Portuguesa

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/E
Entity holding: BIAL Foundation
Title: Documentation and Information Center
History: Books that are part of the documentation center

Reference code: PT/FB/E/025
Title: Doença de Machado-Joseph: Estudo clínico, patológico e epidemiológico de uma doença neurológica de origem Portuguesa
Número de inventário: M-0026
Local: Porto
Publisher: Laboratórios Bial
Date: 1994
Pag., vols.: 263
Illustration: il.
Dimension/support: 24 cm
Accessibility: Document exists in archive
Copyright/Reproduction:
By permission
Language:
por
Notes:
Grande Prémio Bial de Medicina 1992 - 1º classificado
Edition: 1ª ed.
Collection: (Bial ; 10)
Author: Coutinho, P.
Document type:
Book
Keywords:
Machado-Joseph disease / Symptoms / Diagnosis / Classification / Epidemiology / Treatment / Prevention
DocumentPsychophysiological classification and staging of mental states during meditative practice2011

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2008
Location: Arquivo PCA - Pastas 1 a
Title:
2008 Grants
Start date: 2009-01

Reference code: PT/FB/BL-2008-149
Location: Arquivo PCA - Pasta 13/2008
Title:
149 - A closer look at meditation: Challenging the attentional network on different types of meditative procedures
Duration: 2010-04 - 2011-09
Researcher(s):
Stefan Schmidt, Harald Walach, Thilo Hinterberger, Matthias Braeunig, Dr. Jose Raul Naranjo, Kathrin Simshäuser
Institution(s): Center for Mindfulness, Meditation and Neuroscience Research, Instit. of Environmental Health Sciences, Univ. Medical Center Freiburg (Germany)
Contents: Contents:
Bursary agreement
Application form
Correspondence
Financial report and expenditure documents
Progress report
Final report
Language: eng
Author:
Schmidt, S.
Secondary author(s):
Walach, H., Hinterberger, T., Braeunig, M., Naranjo, J. R., Simshäuser, K.
Number of reproductions:
1
Keywords:
Psychophysiology / Assessment tools / Cognitive processes / Attention / Brain structure and function / Altered states of consciousness / Meditation

Reference code: PT/FB/BL-2008-149.11
Location: Arquivo PCA - Pasta 13/2008
Title:
Psychophysiological classification and staging of mental states during meditative practice
Publication year: 2011
URL:
https://www.degruyter.com/document/doi/10.1515/BMT.2011.021/html
Abstract/Results: ABSTRACT:
The study of meditation offers a perfect setting for the study of a large variety of states of consciousness. Here, we present a classification paradigm that can be used for staging of individual meditation sessions into a variety of predefined mental states. We have measured 64 channels of the electroencephalogram (EEG) plus peripheral physiological measures in 49 participants with varying experiences in meditation practice. The data recorded in a meditation session of seven meditative tasks were analyzed with respect to EEG power spectral density measures plus peripheral measures. A multiclass linear discriminant analysis classifier was trained for classification of data epochs of the seven standard tasks. The classification results were verified using random partitions of the data. As an overall result, about 83% (+/- 7%) of the epochs could be correctly classified to their originating task. The best classification method was then applied to individual meditation sessions, which allowed for staging of meditation states similarly to the staging possibility of sleep states. This study exemplarily demonstrates the possibility of developing an automatized staging tool that can be used for monitoring changes in the states of consciousness offline or online for training or therapeutic purpose.
Accessibility: Document does not exist in file
Language:
eng
Author:
Hinterberger, T.
Secondary author(s):
Kamei, T., Walach, H.
Document type:
Article
Number of reproductions:
1
Reference:
Hinterberger, T., Kamei, T., & Walach, H. (2011). Psychophysiological classification and staging of mental states during meditative practice. Biomed Tech (Berl), 56(6), 341-50. https://doi.org/10.1515/BMT.2011.021
2-year Impact Factor: 1.227|2013
Impact factor notes: Impact factor computed since 2013
Times cited: 10|2024-02-01
Indexed document: Yes
Quartile: Q4
Keywords: Classification / Electroencephalography / Meditation / States of consciousness
DocumentDefining meditation: Foundations for and activity-based phenomenological classification system2022

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2020
Location: BF-GMS
Title:
2020 Grants
Start date: 2021-01

Reference code: PT/FB/BL-2020-099
Location: BF-GMS
Title:
099 - Beyond "mindfulness" and toward a modern science of meditative mastery and spiritual transformation
Duration: 2021-03 - 2024-02
Researcher(s):
Matthew Sacchet, Diego Pizzagalli, Remko van Lutterveld, Marta Bianciardi
Institution(s): Center for Depression, Anxiety, and Stress Research - CDASR, McLean Hospital, Belmont (USA)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Progress report
Final report
Articles
Language: eng
Author:
Sacchet, M.
Secondary author(s):
Pizzagalli, D., van Lutterveld, R., Bianciardi, M.
Number of reproductions:
3
Keywords:
Advanced meditation / Enlightenment / Neuroimaging / Mindfulness meditation / Psychophysiology and Parapsychology

Reference code: PT/FB/BL-2020-099.02
Location: BF-GMS
Title:
Defining meditation: Foundations for and activity-based phenomenological classification system
Publication year: 2022
URL:
https://www.frontiersin.org/articles/10.3389/fpsyg.2021.795077/full
Abstract/Results: Classifying different meditation techniques is essential for the progress of meditation research, as this will enable discerning which effects are associated with which techniques, in addition to supporting the development of increasingly effective and efficient meditation-based training programs and clinical interventions. However, both the task of defining meditation itself, as well as defining specific techniques, faces many fundamental challenges. Here we describe problems involved in this endeavor and suggest an integrated model for defining meditation. For classifying different meditation techniques, we draw on classical, contemporary, and holistic systems of classification. We analyze different techniques and propose that all meditation techniques are based on a specific set of activities, that is: focusing, releasing, imagining, and moving in relation to an object of meditation, including fields of experience. Meditative activities can be combined and unified in the activities of observing, producing, and being aware. All meditative activities are unified in awareness of awareness. Defining specific meditation techniques may be done by specifying which activities and objects are involved. The advantage of our approach is that it can potentially account for the inner workings of all current systems of classification and hence it lays the foundation for formulating an overarching system of meditation that can guide future research and practice.
Accessibility: Document exists in file
Language:
eng
Author:
Sparby, T.
Secondary author(s):
Sacchet, M.
Document type:
Article
Number of reproductions:
3
Percentiles:
4
Reference:
Sparby, T., & Sacchet, M. D. (2022). Defining Meditation: Foundations for an Activity-Based Phenomenological Classification System. Frontiers in Psychology, 12, 795077. https://doi.org/10.3389/fpsyg.2021.795077
2-year Impact Factor: 3.800|2022
Times cited: 6|2024-02-15
Indexed document: Yes
Quartile: Q1
Keywords: Meditation / Classification / Phenomenology / Activity / First-person / Consciousness / Mental activity / Taxonomy

Defining meditation: Foundations for and activity-based phenomenological classification system

Defining meditation: Foundations for and activity-based phenomenological classification system
DocumentEarly diagnosis of Alzheimer's disease using machine learning: A multi-diagnostic, generalizable approach2022

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2016
Location: BF-GMS
Title:
2016 Grants
Start date: 2017-01

Reference code: PT/FB/BL-2016-292
Location: BF-GMS
Title:
292 - Oxytocin: On the psychophysiology of trust and cooperation
Duration: 2017-10 - 2023-11
Researcher(s):
Diana Prata, James Rilling, Manuel Lopes, Duarte Ferreira, Daniel Martins, Pedro Levy
Institution(s): FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências (Portugal); Emory University, Atlanta (USA)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Progress report
Final report
Author: Prata, D.
Secondary author(s):
Rilling, J., Lopes, M., Ferreira, D. , Martins, D., Levy, P.
Number of reproductions:
1
Keywords:
Oxytocin / Mentalizing / Theory of mind / Dopamine / Psychophysiology

Reference code: PT/FB/BL-2016-292.13
Location: BF-GMS
Title:
Early diagnosis of Alzheimer's disease using machine learning: A multi-diagnostic, generalizable approach
Publication year: 2022
URL:
https://alzres.biomedcentral.com/articles/10.1186/s13195-022-01047-y
Abstract/Results: Abstract
Background
Early and accurate diagnosis of Alzheimer’s disease (AD) is essential for disease management and therapeutic choices that can delay disease progression. Machine learning (ML) approaches have been extensively used in attempts to develop algorithms for reliable early diagnosis of AD, although clinical usefulness, interpretability, and generalizability of the classifiers across datasets and MRI protocols remain limited.
Methods
We report a multi-diagnostic and generalizable approach for mild cognitive impairment (MCI) and AD diagnosis using structural MRI and ML. Classifiers were trained and tested using subjects from the AD Neuroimaging Initiative (ADNI) database (n = 570) and the Open Access Series of Imaging Studies (OASIS) project database (n = 531). Several classifiers are compared and combined using voting for a decision. Additionally, we report tests of generalizability across datasets and protocols (IR-SPGR and MPRAGE), the impact of using graph theory measures on diagnostic classification performance, the relative importance of different brain regions on classification for better interpretability, and an evaluation of the potential for clinical applicability of the classifier.
Results
Our “healthy controls (HC) vs. AD” classifier trained and tested on the combination of ADNI and OASIS datasets obtained a balanced accuracy (BAC) of 90.6% and a Matthew’s correlation coefficient (MCC) of 0.811. Our “HC vs. MCI vs. AD” classifier trained and tested on the ADNI dataset obtained a 62.1% BAC (33.3% being the by-chance cut-off) and 0.438 MCC. Hippocampal features were the strongest contributors to the classification decisions (approx. 25–45%), followed by temporal (approx. 13%), cingulate, and frontal regions (approx. 8–13% each), which is consistent with our current understanding of AD and its progression. Classifiers generalized well across both datasets and protocols. Finally, using graph theory measures did not improve classification performance.
Conclusions
In sum, we present a diagnostic tool for MCI and AD trained using baseline scans and a follow-up diagnosis regardless of progression, which is multi-diagnostic, generalizable across independent data sources and acquisition protocols, and with transparently reported performance. Rated as potentially clinically applicable, our tool may be clinically useful to inform diagnostic decisions in dementia, if successful in real-world prospective clinical trials.
Accessibility: Document exists in file
Language:
eng
Author:
Diogo, V. S.
Secondary author(s):
Ferreira, H. A., Prata, D., Alzheimer's Disease Neuroimaging Initiative
Document type:
Article
Number of reproductions:
1
Percentiles:
4
Reference:
Diogo, V. S., Ferreira, H. A., Prata, D., & Alzheimer's Disease Neuroimaging Initiative (2022). Early diagnosis of Alzheimer's disease using machine learning: A multi-diagnostic, generalizable approach. Alzheimer's Research & Therapy, 14, 17. https://doi.org/10.1186/s13195-022-01047-y
2-year Impact Factor: 9.000|2022
Times cited: 8|2024-02-15
Indexed document: Yes
Quartile: Q1
Keywords: Alzheimer’s disease / Mild cognitive impairment / Dementia / Early diagnosis / Prognosis / Classification / Machine learning / Graph theory

Early diagnosis of Alzheimer's disease using machine learning: A multi-diagnostic, generalizable approach

Early diagnosis of Alzheimer's disease using machine learning: A multi-diagnostic, generalizable approach
DocumentA systematic review on the potential use of machine learning to classify major depressive disorder from healthy controls using resting state fMRI measures2023

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2020
Location: BF-GMS
Title:
2020 Grants
Start date: 2021-01

Reference code: PT/FB/BL-2020-288
Location: BF-GMS
Title:
288 - The origin of the sublime power in the brain: An integrated EEG-TMS study
Duration: 2021-04
Researcher(s):
Eleonora Maggioni, Paolo Brambilla, Giandomenico Schiena, Alice Chirico, Andrea Gaggioli, Maddalena Mazzocut-Mis
Institution(s): Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan (Italy); Università Cattolica del Sacro Cuore, Milan (Italy); Università degli Studi di Milano (Italy)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Progress report
Final report
Language: eng
Author:
Maggioni, E.
Secondary author(s):
Brambilla, P., Schiena, G., Chirico, A., Gaggioli, A., Mazzocut-Mis, M.
Number of reproductions:
3
Keywords:
Virtual reality / Sublime / Brain connectivity / EEG-TMS / Parapsychology and Psychophysiology

Reference code: PT/FB/BL-2020-288.04
Location: BF-GMS
Title:
A systematic review on the potential use of machine learning to classify major depressive disorder from healthy controls using resting state fMRI measures
Publication year: 2023
URL:
https://www.sciencedirect.com/science/article/pii/S0149763422004614
Abstract/Results: ABSTRACT:
Background
Major Depressive Disorder (MDD) is a psychiatric disorder characterized by functional brain deficits, as documented by resting-state functional magnetic resonance imaging (rs-fMRI) studies.
Aims
In recent years, some studies used machine learning (ML) approaches, based on rs-fMRI features, for classifying MDD from healthy controls (HC). In this context, this review aims to provide a comprehensive overview of the results of these studies.
Design
The studies research was performed on 3 online databases, examining English-written articles published before August 5, 2022, that performed a two-class ML classification using rs-fMRI features. The search resulted in 20 eligible studies.
Results
The reviewed studies showed good performance metrics, with better performance achieved when the dataset was restricted to a more homogeneous group in terms of disease severity. Regions within the default mode network, salience network, and central executive network were reported as the most important features in the classification algorithms.
Limitations
The small sample size together with the methodological and clinical heterogeneity limited the generalizability of the findings.
Conclusions
In conclusion, ML applied to rs-fMRI features can be a valid approach to classify MDD and HC subjects and to discover features that can be used for additional investigation of the pathophysiology of the disease.
Accessibility: Document exists in file
Copyright/Reproduction:
By permission
Language:
eng
Author:
Bondi, E.
Secondary author(s):
Maggioni, E., Brambilla, P., Delvecchio, G.
Document type:
Article
Number of reproductions:
3
Percentiles:
3
Reference:
Bondi, E., Maggioni, E., Brambilla, P., & Delvecchio, G. (2023). A systematic review on the potential use of machine learning to classify major depressive disorder from healthy controls using resting state fMRI measures. Neuroscience and Biobehavioral Reviews, 144, 104972. https://doi.org/10.1016/j.neubiorev.2022.104972
2-year Impact Factor: 8.200|2022
Impact factor notes: Impact factor not available yet for 2023
Times cited: 10|2024-02-16
Indexed document: Yes
Quartile: Q1
Keywords: Major depressive disorder / Resting state functional magnetic resonance imaging / Rs-fMRI / Machine learning / Classification
DocumentMethod for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology2023

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: NDE
Location: Arquivo PCA - Pasta 1/Outros Apoios
Title:
Characterization of “Near-Death Experiences” through the comparison of experiencers and non-experiencers’ particularities: inter-individual differences in cognitive characteristics and susceptibility to false memories
Duration: 2016-03 - 2019-03
Researcher(s):
Steven Laureys, Charlotte Martial, Vanessa Charland-Verville, Héléna Cassol
Institution(s): Coma Science Group, University of Liège (Belgium)
Contents: Application
Research Funding Agreement
Progress report
Final report
Articles
Language: eng
Author:
Laureys, S.
Number of reproductions:
3
Keywords:
Parapsychology and Psychophysiology / Near-death experience / Functional magnetic resonance imaging (fMRI)

Reference code: NDE-124
Location: BF-GMS
Title:
Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology
Publication year: 2023
URL:
https://www.sciencedirect.com/science/article/pii/S0165027023001772?via%3Dihub
Abstract/Results: ABSTRACT:
Background: Characterization of normal arousal states has been achieved by fitting predictions of corticothalamic neural field theory (NFT) to electroencephalographic (EEG) spectra to yield relevant physiological parameters.
New Method: A prior fitting method is extended to distinguish conscious and unconscious states in healthy and brain injured subjects by identifying additional parameters and clusters in parameter space.
Results: Fits of NFT predictions to EEG spectra are used to estimate neurophysiological parameters in healthy and brain injured subjects. Spectra are used from healthy subjects in wake and sleep and from patients with unresponsive wakefulness syndrome, in a minimally conscious state (MCS), and emerged from MCS. Subjects cluster into three groups in parameter space: conscious healthy (wake and REM), sleep, and brain injured. These are distinguished by the difference ?? - ?? between corticocortical (??) and corticothalamic (?? ) feedbacks, and by mean neural response rates ?? and ?? to incoming spikes. ?? - ?? tracks consciousness in healthy individuals, with smaller values in wake/REM than sleep, but cannot distinguish between brain injuries. Parameters ?? and
?? differentiate deep sleep from wake/REM and brain injury. Comparison with existing methods: Other methods typically rely on laborious clinical assessment, manual EEG scoring, or evaluation of measures like ?? from integrated information theory, for which no efficient method exists. In contrast, the present method can be automated on a personal computer.
Conclusion: The method provides a means to quantify consciousness and arousal in healthy and brain injured subjects, but does not distinguish subtypes of brain injury.
Accessibility: Document exists in file
Language:
eng
Author:
Assadzadeh, S.
Secondary author(s):
Annen, J., Sanz, L., Barra, A., Bonin, E., Thibaut, A., Boly, M., Laureys, S., Gosseries, O., Robinson, P. A.
Document type:
Article
Number of reproductions:
3
Percentiles:
7
Reference:
Assadzadeh, S., Annen, J., Sanz, L., Barra, A., Bonin, E., Thibaut, A., Boly, M., Laureys, S., Gosseries, O., & Robinson, P. A. (2023). Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology. Journal of Neuroscience Methods, 398, 109958. https://doi.org/10.1016/j.jneumeth.2023.109958
2-year Impact Factor: 2.7|2023
Times cited: 0|2024-02-16
Indexed document: Yes
Quartile: Q3
Keywords: Arousal state / Consciousness / Modeling / Electroencephalography / Classification

Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology

Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology
DocumentMethod for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology2023

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: NDE
Location: Arquivo PCA - Pasta 1/Outros Apoios
Title:
Characterization of “Near-Death Experiences” through the comparison of experiencers and non-experiencers’ particularities: inter-individual differences in cognitive characteristics and susceptibility to false memories
Duration: 2016-03 - 2019-03
Researcher(s):
Steven Laureys, Charlotte Martial, Vanessa Charland-Verville, Héléna Cassol
Institution(s): Coma Science Group, University of Liège (Belgium)
Contents: Application
Research Funding Agreement
Progress report
Final report
Articles
Language: eng
Author:
Laureys, S.
Number of reproductions:
3
Keywords:
Parapsychology and Psychophysiology / Near-death experience / Functional magnetic resonance imaging (fMRI)

Reference code: NDE-126
Location: BF-GMS
Title:
Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology
Publication year: 2023
URL:
https://doi.org/10.1016/j.jneumeth.2023.109958
Abstract/Results: ABSTRACT:
Background: Characterization of normal arousal states has been achieved by fitting predictions of corticothalamic neural field theory (NFT) to electroencephalographic (EEG) spectra to yield relevant physiological parameters.
New method: A prior fitting method is extended to distinguish conscious and unconscious states in healthy and brain injured subjects by identifying additional parameters and clusters in parameter space.
Results: Fits of NFT predictions to EEG spectra are used to estimate neurophysiological parameters in healthy and brain injured subjects. Spectra are used from healthy subjects in wake and sleep and from patients with unresponsive wakefulness syndrome, in a minimally conscious state (MCS), and emerged from MCS. Subjects cluster into three groups in parameter space: conscious healthy (wake and REM), sleep, and brain injured. These are distinguished by the difference X-Y between corticocortical (X) and corticothalamic (Y) feedbacks, and by mean neural response rates a and ß to incoming spikes. X-Y tracks consciousness in healthy individuals, with smaller values in wake/REM than sleep, but cannot distinguish between brain injuries. Parameters a and ß differentiate deep sleep from wake/REM and brain injury.
Comparison with existing methods: Other methods typically rely on laborious clinical assessment, manual EEG scoring, or evaluation of measures like F from integrated information theory, for which no efficient method exists. In contrast, the present method can be automated on a personal computer.
Conclusion: The method provides a means to quantify consciousness and arousal in healthy and brain injured subjects, but does not distinguish subtypes of brain injury.
Accessibility: Document exists in file
Language:
eng
Author:
Assadzadeh, S.
Secondary author(s):
Annen, J., Sanz, L., Barra, A., Bonin, E., Thibaut, A., Boly, M., Laureys, S., Gosseries, O., Robinson, P. A.
Document type:
Article
Number of reproductions:
3
Percentiles:
7
Reference:
Assadzadeh, S., Annen, J., Sanz, L., Barra, A., Bonin, E., Thibaut, A., Boly, M., Laureys, S., Gosseries, O., & Robinson, P. A. (2023). Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology. Journal of Neuroscience Methods, 398, 109958. https://doi.org/10.1016/j.jneumeth.2023.109958
2-year Impact Factor: 2.7|2023
Times cited: 0|2024-02-16
Indexed document: Yes
Quartile: Q3
Keywords: Arousal state / Classification / Consciousness / Electroencephalography / Modeling

Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology

Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology