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  1. Article ; Online: Stage 1 Registered Report

    Patrizio E. Tressoldi / Lance Storm

    F1000Research, Vol

    Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 3; peer review: 1 approved, 2 approved with reservations]

    2021  Volume 9

    Abstract: This meta-analysis is an investigation into anomalous perception (i.e., conscious identification ...

    Abstract This meta-analysis is an investigation into anomalous perception (i.e., conscious identification of information without any conventional sensorial means). The technique used for eliciting an effect is the ganzfeld condition (a form of sensory homogenization that eliminates distracting peripheral noise). The database consists of peer-reviewed studies published between January 1974 and June 2020 inclusive. The overall effect size will be estimated using a frequentist and a Bayesian random-effect model. Moderators analyses will be used to examine the influence of level of experience of participants, the type of task and the peer-review level. Publication bias will be estimated by using four different tests. Trend analysis will be conducted with a cumulative meta-analysis and a meta-regression model with Year of publication as covariate.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher F1000 Research Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  2. Article ; Online: Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation.

    Tressoldi, Patrizio E / Storm, Lance

    F1000Research

    2020  Volume 9, Page(s) 826

    Abstract: This meta-analysis is an investigation into anomalous perception (i.e., conscious identification ...

    Abstract This meta-analysis is an investigation into anomalous perception (i.e., conscious identification of information without any conventional sensorial means). The technique used for eliciting an effect is the ganzfeld condition (a form of sensory homogenization that eliminates distracting peripheral noise). The database consists of peer-reviewed studies published between January 1974 and June 2020 inclusive. The overall effect size will be estimated using a frequentist and a Bayesian random-effect model. Moderators analyses will be used to examine the influence of level of experience of participants, the type of task and the peer-review level. Publication bias will be estimated by using four different tests. Trend analysis will be conducted with a cumulative meta-analysis and a meta-regression model with Year of publication as covariate.
    MeSH term(s) Bayes Theorem ; Humans ; Perception ; Publication Bias ; Research Report ; Sensory Deprivation
    Language English
    Publishing date 2020-07-30
    Publishing country England
    Document type Journal Article ; Meta-Analysis
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.24868.3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Stage 1 Registered Report

    Patrizio E. Tressoldi / Lance Storm

    F1000Research, Vol

    Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations]

    2020  Volume 9

    Abstract: This meta-analysis is an investigation into anomalous perception (i.e., conscious identification ...

    Abstract This meta-analysis is an investigation into anomalous perception (i.e., conscious identification of information without any conventional sensorial means). The technique used for eliciting an effect is the ganzfeld condition (a form of sensory homogenization that eliminates distracting peripheral noise). The database consists of peer-reviewed studies published between January 1974 and June 2020 inclusive. The overall effect size will be estimated using a frequentist and a Bayesian random-effect model. Moderators analyses will be used to examine the influence of level of experience of participants, the type of task and the peer-review level. Publication bias will be estimated by using four different tests. Trend analysis will be conducted with a cumulative meta-analysis and a meta-regression model with Year of publication as covariate.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher F1000 Research Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article: The pervasive avoidance of prospective statistical power: major consequences and practical solutions.

    Tressoldi, Patrizio E / Giofré, David

    Frontiers in psychology

    2015  Volume 6, Page(s) 726

    Language English
    Publishing date 2015-05-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2015.00726
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Replication unreliability in psychology: elusive phenomena or "elusive" statistical power?

    Tressoldi, Patrizio E

    Frontiers in psychology

    2012  Volume 3, Page(s) 218

    Abstract: The focus of this paper is to analyze whether the unreliability of results related to certain controversial psychological phenomena may be a consequence of their low statistical power. Applying the Null Hypothesis Statistical Testing (NHST), still the ... ...

    Abstract The focus of this paper is to analyze whether the unreliability of results related to certain controversial psychological phenomena may be a consequence of their low statistical power. Applying the Null Hypothesis Statistical Testing (NHST), still the widest used statistical approach, unreliability derives from the failure to refute the null hypothesis, in particular when exact or quasi-exact replications of experiments are carried out. Taking as example the results of meta-analyses related to four different controversial phenomena, subliminal semantic priming, incubation effect for problem solving, unconscious thought theory, and non-local perception, it was found that, except for semantic priming on categorization, the statistical power to detect the expected effect size (ES) of the typical study, is low or very low. The low power in most studies undermines the use of NHST to study phenomena with moderate or low ESs. We conclude by providing some suggestions on how to increase the statistical power or use different statistical approaches to help discriminate whether the results obtained may or may not be used to support or to refute the reality of a phenomenon with small ES.
    Language English
    Publishing date 2012-07-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078 ; 1664-1078
    ISSN (online) 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2012.00218
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Applying machine learning EEG signal classification to emotion‑related brain anticipatory activity.

    Bilucaglia, Marco / Duma, Gian Marco / Mento, Giovanni / Semenzato, Luca / Tressoldi, Patrizio E

    F1000Research

    2021  Volume 9, Page(s) 173

    Abstract: Machine learning approaches have been fruitfully applied to several neurophysiological signal classification problems. Considering the relevance of emotion in human cognition and behaviour, an important application of machine learning has been found in ... ...

    Abstract Machine learning approaches have been fruitfully applied to several neurophysiological signal classification problems. Considering the relevance of emotion in human cognition and behaviour, an important application of machine learning has been found in the field of emotion identification based on neurophysiological activity. Nonetheless, there is high variability in results in the literature depending on the neuronal activity measurement, the signal features and the classifier type. The present work aims to provide new methodological insight into machine learning applied to emotion identification based on electrophysiological brain activity. For this reason, we analysed previously recorded EEG activity measured while emotional stimuli, high and low arousal (auditory and visual) were provided to a group of healthy participants. Our target signal to classify was the pre-stimulus onset brain activity. Classification performance of three different classifiers (LDA, SVM and kNN) was compared using both spectral and temporal features. Furthermore, we also contrasted the performance of static and dynamic (time evolving) approaches. The best static feature-classifier combination was the SVM with spectral features (51.8%), followed by LDA with spectral features (51.4%) and kNN with temporal features (51%). The best dynamic feature classifier combination was the SVM with temporal features (63.8%), followed by kNN with temporal features (63.70%) and LDA with temporal features (63.68%). The results show a clear increase in classification accuracy with temporal dynamic features.
    Language English
    Publishing date 2021-10-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.22202.3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article ; Online: Extraordinary claims require extraordinary evidence: the case of non-local perception, a classical and bayesian review of evidences.

    Tressoldi, Patrizio E

    Frontiers in psychology

    2011  Volume 2, Page(s) 117

    Abstract: Starting from the famous phrase "extraordinary claims require extraordinary evidence," we will present the evidence supporting the concept that human visual perception may have non-local properties, in other words, that it may operate beyond the space ... ...

    Abstract Starting from the famous phrase "extraordinary claims require extraordinary evidence," we will present the evidence supporting the concept that human visual perception may have non-local properties, in other words, that it may operate beyond the space and time constraints of sensory organs, in order to discuss which criteria can be used to define evidence as extraordinary. This evidence has been obtained from seven databases which are related to six different protocols used to test the reality and the functioning of non-local perception, analyzed using both a frequentist and a new Bayesian meta-analysis statistical procedure. According to a frequentist meta-analysis, the null hypothesis can be rejected for all six protocols even if the effect sizes range from 0.007 to 0.28. According to Bayesian meta-analysis, the Bayes factors provides strong evidence to support the alternative hypothesis (H1) over the null hypothesis (H0), but only for three out of the six protocols. We will discuss whether quantitative psychology can contribute to defining the criteria for the acceptance of new scientific ideas in order to avoid the inconclusive controversies between supporters and opponents.
    Language English
    Publishing date 2011-06-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078 ; 1664-1078
    ISSN (online) 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2011.00117
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: On the primacy and irreducible nature of first-person versus third-person information.

    Tressoldi, Patrizio E / Facco, Enrico / Lucangeli, Daniela

    F1000Research

    2017  Volume 6, Page(s) 99

    Abstract: In this essay, we will support the claim that at the current level of scientific advancement a) some first-person accounts cannot be reduced to their third-person neural and psychophysiological correlates and b) that these first-person accounts are the ... ...

    Abstract In this essay, we will support the claim that at the current level of scientific advancement a) some first-person accounts cannot be reduced to their third-person neural and psychophysiological correlates and b) that these first-person accounts are the only information to reckon when it is necessary to analyse qualia contents. Consequently, for many phenomena, first-person accounts are the only reliable source of information available and the knowledge of their neural and psychophysical correlates don't offer any additional information about them.
    Language English
    Publishing date 2017-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2699932-8
    ISSN 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.10752.3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: On the Science of Consciousness: Epistemological Reflections and Clinical Implications.

    Facco, Enrico / Lucangeli, Daniela / Tressoldi, Patrizio

    Explore (New York, N.Y.)

    2017  Volume 13, Issue 3, Page(s) 163–180

    Abstract: ... of philosophy and medicine. The concept of consciousness and the so-called "hard problem" (i.e., the mind-brain ...

    Abstract Consciousness has been one of the most important and tantalizing issues ever since the origin of philosophy and medicine. The concept of consciousness and the so-called "hard problem" (i.e., the mind-brain relationship) are highly complex topics that have yet to be elucidated, involving the realms of both science and philosophy with profound epistemological implications. In the lively debate on the foundations of the science of consciousness there are several potential biases of an essentially philosophical nature, such as those related to the paradigm and axioms adopted, and the ostensible logical contradiction between monism and dualism. Their origin dates back largely to Descartes' thinking and the birth of the new sciences as a compromise with the Inquisition, but they have been handed down through the Enlightenment and Positivism. A proper investigation of consciousness and the world of subjectivity demands a careful reflection on the paradigm of scientific medicine to identify possible flaws and overcome the limits of the mechanistic-reductionist approach.
    Language English
    Publishing date 2017-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2183945-1
    ISSN 1878-7541 ; 1550-8307
    ISSN (online) 1878-7541
    ISSN 1550-8307
    DOI 10.1016/j.explore.2017.02.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: On the primacy and irreducible nature of first-person versus third-person information [version 3; referees

    Patrizio E. Tressoldi / Enrico Facco / Daniela Lucangeli

    F1000Research, Vol

    1 approved, 2 approved with reservations]

    2017  Volume 6

    Abstract: In this essay, we will support the claim that at the current level of scientific advancement a) some first-person accounts cannot be reduced to their third-person neural and psychophysiological correlates and b) that these first-person accounts are the ... ...

    Abstract In this essay, we will support the claim that at the current level of scientific advancement a) some first-person accounts cannot be reduced to their third-person neural and psychophysiological correlates and b) that these first-person accounts are the only information to reckon when it is necessary to analyse qualia contents. Consequently, for many phenomena, first-person accounts are the only reliable source of information available and the knowledge of their neural and psychophysical correlates don’t offer any additional information about them.
    Keywords Cognitive Neuroscience ; Medicine ; R ; Science ; Q
    Language English
    Publishing date 2017-05-01T00:00:00Z
    Publisher F1000 Research Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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