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BIAL Foundation
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DocumentLooking through the windows: a study about the dependency of phase-coupling estimates on the data length2022

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-2020-080
Location: BF-GMS
Title:
080 - Mindfulness meditation state and trait through the eyes of brain computational modelling
Researcher(s): Laura Marzetti
Institution(s): Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi "G. d'Annunzio" Chieti - Pescara (Italy)
Abstract/Results: Contents:
Application form
Correspondence
Language: eng
Notes:
This project hasn't started yet
Author: Marzetti, L.
Number of reproductions:
3
Keywords:
Meditation / Brain states / Computational modelling / Neuroimaging / Psychophysiology and Parapsychology

Reference code: PT/FB/BL-2020-080.02
Location: BF-GMS
Title:
Looking through the windows: a study about the dependency of phase-coupling estimates on the data length
Publication year: 2022
URL:
https://iopscience.iop.org/article/10.1088/1741-2552/ac542f
Abstract/Results: Objective. Being able to characterize functional connectivity (FC) state dynamics in a real-time setting, such as in brain–computer interface, neurofeedback or closed-loop neurostimulation frameworks, requires the rapid detection of the statistical dependencies that quantify FC in short windows of data. The aim of this study is to characterize, through extensive realistic simulations, the reliability of FC estimation as a function of the data length. In particular, we focused on FC as measured by phase-coupling (PC) of neuronal oscillations, one of the most functionally relevant neural coupling modes. Approach. We generated synthetic data corresponding to different scenarios by varying the data length, the signal-to-noise ratio (SNR), the phase difference value, the spectral analysis approach (Hilbert or Fourier) and the fractional bandwidth. We compared seven PC metrics, i.e. imaginary part of phase locking value (iPLV), PLV of orthogonalized signals, phase lag index (PLI), debiased weighted PLI, imaginary part of coherency, coherence of orthogonalized signals and lagged coherence. Main results. Our findings show that, for a SNR of at least 10 dB, a data window that contains 5–8 cycles of the oscillation of interest (e.g. a 500–800 ms window at 10 Hz) is generally required to achieve reliable PC estimates. In general, Hilbert-based approaches were associated with higher performance than Fourier-based approaches. Furthermore, the results suggest that, when the analysis is performed in a narrow frequency range, a larger window is required. Significance. The achieved results pave the way to the introduction of best-practice guidelines to be followed when a real-time frequency-specific PC assessment is at target.
Accessibility: Document exists in file
Language:
eng
Author:
Basti, A.
Secondary author(s):
Chella, F., Guidotti, R. , Ermolova, M., D'Andrea, A., Stenroos, M., Romani, G. L., Pizzela, V., Marzetti, L.
Document type:
Article
Number of reproductions:
3
Percentiles:
6
Reference:
Basti, A., Chella, F., Guidotti, R., Ermolova, M., D’Andrea, A., Stenroos, M., … Marzetti, L. (2022). Looking through the windows: A study about the dependency of phase-coupling estimates on the data length. Journal of Neural Engineering, 19(1). https://doi.org/10.1088/1741-2552/ac542f
2-year Impact Factor: 4.000|2022
Times cited: 4|2024-02-15
Indexed document: Yes
Quartile: Q2
Keywords: Functional connectivity / Phase-coupling / Dynamic connectivity / EEG / MEG

Looking through the windows: a study about the dependency of phase-coupling estimates on the data length

Looking through the windows: a study about the dependency of phase-coupling estimates on the data length