Arnaud Delorme

In this study, we tested whether it was possible to use an online psi task to identify psi-talented individuals who could produce reliably significant results in repeated tests. The study aimed to develop psi tasks on an online platform, analyze data to identify talented individuals among a large sample (n=1014); 3) select the top 50 performing ind...

Reliable and reproducible machine-learning enabled neuroscience research requires large-scale data sharing and analysis. Essential for the effective and efficient analysis of shared datasets are standardized data and metadata organization and formatting, a well-documented, automated analysis pipeline, a comprehensive software framework, and a compu...

ICLabel is an important plug-in function in EEGLAB, the most widely used software for EEG data processing. A powerful approach to automated processing of EEG data involves decomposing the data by Independent Component Analysis (ICA) and then classifying the resulting independent components (ICs) using ICLabel. While EEGLAB pipelines support high-pe...

The Child Mind Institute (CMI) Healthy Brain Network (HBN) project has recorded phenotypic, behavioral, and neuroimaging data from ~5,000 children and young adults between the ages of 5 and 21. Here, we present "analysis-ready" data from its high-density (128-channel) electroencephalographic (EEG) recording sessions formatted as Brain Imaging Data...

On the centenary of the first human EEG recording, more than 500 experts reflect on the impact that this discovery has had on our understanding of the brain and behaviour. We document their priorities and call for collective action focusing on validity, democratization and responsibility to realize the potential of EEG in science and society over t...

The interplay between the brain and the cardiovascular systems is garnering increased attention for its potential to advance our understanding of human physiology and improve health outcomes. However, the multimodal analysis of these signals is challenging due to the lack of guidelines, standardized signal processing and statistical tools, graphica...

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some...

Wearable electroencephalography (EEG) and electrocardiography (ECG) devices may offer a non-invasive, user-friendly, and cost-effective approach for assessing well-being (WB) in real-world settings. However, challenges remain in dealing with signal artifacts (such as environmental noise and movements) and identifying robust biomarkers. We evaluated...

Accurately recording the interactions of humans or other organisms with their environment or other agents requires synchronized data access via multiple instruments, often running independently using different clocks. Active, hardware-mediated solutions are often infeasible or prohibitively costly to build and run across arbitrary collections of in...

As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed...

Perceptual anticipation is known to impact the reaction time of decisions. While anticipatory patterns have been identified in human brain activity, the single-trial neural signature of anticipation remains unexplored. Similarly, past studies have underlined an effect of pre-stimulus alpha-band activity on reaction times. Still, it remains unknown...

Some people claim to occasionally know who is calling them without using traditional means. Controlled experiments testing these claims report mixed results. We conducted a cross-sectional study of triads examining the accuracy of knowing who was calling using two randomly selected designs: 1) a web server randomly chose the caller before the calle...

Objective: Two well-being scales were administered to participants attending personal transformational workshops; the International Positive and Negative Affect Schedule Short-form (I-PANAS-SF) and the Affective Well-Being Scale. Data were collected before and after workshops occurring between March 17, 2018, and November 4, 2020, during which 1,17...

As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed...

The interplay between the brain and the cardiovascular systems is garnering increased attention for its potential to advance our understanding of human physiology and improve health outcomes. However, the multimodal analysis of these signals is challenging due to the lack of guidelines, standardized signal processing and statistical tools, graphica...

Trance is an altered state of consciousness characterized by alterations in cognition. In general, trance states induce mental silence (i.e., cognitive thought reduction), and mental silence can induce trance states. Conversely, mind-wandering is the mind's propensity to stray its attention away from the task at hand and toward content irrelevant t...

Objective. Throughout history and across all cultures, many people have believed in some form of afterlife. Recent surveys show that most people worldwide believe they will survive after bodily death. Those who do not believe would require substantial empirical evidence to influence their skepticism. This study’s objective was to evaluate what type...

Automated preprocessing methods are critically needed to process the large publicly-available EEG databases, but the optimal approach remains unknown because we lack data quality metrics to compare them. Here, we designed a simple yet robust EEG data quality metric assessing the percentage of significant channels between two experimental conditions...

Reliable and reproducible machine-learning enabled neuroscience research requires large-scale data sharing and analysis. Essential to the analysis of shared datasets are standardized data organization and metadata formatting, a well-documented automated analysis pipeline, and a comprehensive software framework with a compute environment that can ad...

Objective Human gene expression studies typically rely on peripheral blood samples as a cellular source, however there are numerous situations in which venipuncture is contraindicated. To this end, an oral rinse-based method for collecting salivary neutrophils as a cellular source for gene expression analyses was previously developed and shown in a...

Objective: Clairvoyance denotes the purported capacity to perceive events or objects beyond the reach of the ordinary senses. We investigated this ability in a laboratory experiment with four self-identified professional clairvoyants and three laboratory staff who did not consider themselves to possess clairvoyant skills (as controls). Participants...

To preserve scientific data created by publicly and/or philanthropically funded research projects and to make it ready for exploitation using recent and ongoing advances in advanced and large-scale computational modeling methods, publicly available data must use in common, now-evolving standards for formatting, identifying and annotating should sha...

Independent component analysis (ICA), is a blind source separation method that is becoming increasingly used to separate brain and non-brain related activities in electroencephalographic (EEG) and other electrophysiological recordings. It can be used to extract effective brain source activities and estimate their cortical source areas, and is commo...

The nature of consciousness is considered one of science’s most perplexing and persistent mysteries. We all know the subjective experience of consciousness, but where does it arise? What is its purpose? What are its full capacities? The assumption within today’s neuroscience is that all aspects of consciousness arise solely from interactions among...

Objective: Clairvoyance denotes the purported capacity to perceive events or objects beyond the reach of the six senses. We investigated this ability in a laboratory experiment with four self-identified professional clairvoyants and three laboratory staff who did not consider themselves to possess clairvoyant skills (as controls). Participants were...

Keith Augustine’s critical evaluation of the essay contest sponsored by the Bigelow Institute of Consciousness Studies (BICS) is an interesting but problematic review. It mixes reasonable and detailed criticisms of the contest and many of the winning essays with a disappointing reliance on some of the most trite and superficial criticisms of paraps...

The Drift-Diffusion Model (DDM) is widely accepted for two-alternative forced-choice decision paradigms thanks to its simple formalism, straightforward interpretation, and close fit to behavioral and neurophysiological data. However, this formalism presents strong limitations to capture inter-trial dependency and dynamics at the single-trial level....

Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Processing, as well as Biomedical research. Within the field of neuroscience, specifically in electrophysiological neuroimaging, researchers are starting to explore leveraging deep learning to make predictions on their data without extensive feature enginee...

Objective: Human gene expression studies typically rely on peripheral blood samples as a cellular source, however there are numerous situations in which venipuncture is contraindicated. To this end, an oral rinse-based method for collecting salivary neutrophils as a cellular source for gene expression analyses was previously developed and shown in...

The nature of consciousness is considered one of the most perplexing and persistent mysteries in science. We all know the subjective experience of consciousness, but where does it arise? What is its purpose? What are its full capacities? The assumption within today’s neuroscience is that all aspects of consciousness arise solely from interactions a...

Background: Psychiatric patients with adverse childhood experiences (ACE) tend to have dysfunctions in the interoceptive part of their emotional experience. The integration of interoceptive emotional activity in the insular and cingulate cortices is linked to the regulation of sympathovagal balance. This makes heart rate variability (HRV) an ideal...

Being able to remove or weigh down the influence of outlier data is desirable for any statistical model. While magnetic and electroencephalographic (MEEG) data are often averaged across trials per condition, it is becoming common practice to use information from all trials to build statistical linear models. Individual trials can, however, have con...

Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Processing, as well as Biomedical research. Within the field of neuroscience, specifically in electrophysiological neuroimaging, researchers are starting to explore leveraging deep learning to make predictions on their data without extensive feature enginee...

To take advantage of recent and ongoing advances in large-scale computational methods, and to preserve the scientific data created by publicly funded research projects, data archives must be created as well as standards for specifying, identifying, and annotating deposited data. The OpenNeuro.org archive, begun as a repository for magnetic resonanc...

The global personal development market was valued at $38.28 billion in 2019 and is expected to grow an additional 5% from 2020 to 2027. Many of these workshops promise to be transformational. This secondary analysis study examined transformative, transpersonal, and noetic aspects of personal development workshops. We found that 74% of post-survey r...

Introduction: Personal development workshops are increasingly popular. This study evaluated the relationships between the measures of well-being, interconnectedness, and extended perception in various workshops and explored which kinds of workshops and individual characteristics predicted changes in these outcomes. Materials and Methods: In a prosp...

Electroencephalography (EEG) alpha asymmetry is thought to reflect crucial brain processes underlying executive control, motivation, and affect. It has been widely used in psychopathology and, more recently, in novel neuromodulation studies. However, inconsistencies remain in the field due to the lack of consensus in methodological approaches emplo...

Foreword from the editors. We hosted four keynote speakers: Wolf Singer, Bill Bialek, Danielle Bassett, and Sonja Gruen. They enlightened us about computations in the cerebral cortex, the reduction of high-dimensional data, the emerging field of computational psychiatry, and the significance of spike patterns in motor cortex. From the submissions,...

EEG power spectral density (PSD), the individual alpha frequency (IAF) and the frontal alpha asymmetry (FAA) are all EEG spectral measures that have been widely used to evaluate cognitive and attentional processes in experimental and clinical settings, and that can be used for real-world applications (e.g., remote EEG monitoring, brain-computer int...

Convolutional Neural Networks (CNNs) have achieved impressive performance on many computer vision related tasks, such as object detection, image recognition, image retrieval, etc. These achievements benefit from the CNNs' outstanding capability to learn discriminative features with deep layers of neuron structures and iterative training process. Th...

Objective: Four laboratory studies and an online experiment explored psy-chophysical (mind-matter) interactions with quantum entangled photons. Method: Entanglement correlation strength measured in real-time was presented via a graph or dynamic images displayed on a computer monitor or web browser. Participants were tasked with mentally influencing...

Event-related data analysis plays a central role in EEG and MEG (MEEG) and other neuroimaging modalities such as fMRI. Choices about which events to report and how to annotate their full natures significantly influence the value, reliability, and reproducibility of neuroimaging datasets for further analysis and meta- or mega-analysis. A powerful an...

The success of deep learning in computer vision has inspired the scientific community to explore new analysis methods. Within the field of neuroscience, specifically in electrophysiological neuroimaging, researchers are starting to explore leveraging deep learning to make predictions on EEG data. Research remains open on the network architecture an...

Objective: Four laboratory studies and an online experiment explored psychophysical (mind-matter) interactions with quantum entangled photons. Method: Entanglement correlation strength measured in real-time was presented via a graph or dynamic images displayed on a computer monitor or web browser. Participants were tasked with mentally influencing...

Knowing target regions undergoing strfuncti changes caused by behavioural interventions is paramount in evaluating the effectiveness of such practices. Here, using a systematic review approach, we identified 25 peer-reviewed magnetic resonance imaging (MRI) studies demonstrating grey matter changes related to mindfulness meditation. An activation l...

Objective: Four laboratory studies and an online experiment explored psychophysical (mind-matter) interactions with quantum entangled photons. Method: Entanglement correlation strength measured in real-time was presented via a graph or dynamic images displayed on a computer monitor or web browser. Participants were tasked with mentally influencing...

The success of deep learning in computer vision has inspired the scientific community to explore new analysis methods. Within the field of neuroscience, specifically in electrophysiological neuroimaging, researchers are starting to explore leveraging deep learning to make predictions on their data without extensive feature engineering. This paper c...

Because of the central role that event-related data analysis plays in EEG and MEG (MEEG) experiments, choices about which events to report and how to annotate their full natures can significantly influence the reliability, reproducibility, and value of MEEG datasets for further analysis. Current, more powerful annotation strategies combine robust e...

The phenomenon of mind wandering (MW), as a family of experiences related to internally directed cognition, heavily influences vigilance evolution. In particular, humans in teleoperations monitoring partially automated fleet before assuming manual control whenever necessary may see their attention drift due to internal sources; as such, it could pl...

An experiment we conducted from 2012 to 2013, which had not been previously reported, was designed to explore possible psychophysical effects resulting from the interaction of a human mind with a quantum system. Participants focused their attention toward or away from the slits in a double-slit optical system to see if the interference pattern woul...

We explored personal development workshops’ transformative effects by evaluating participants’ transformative, noetic, transpersonal, and relational experiences during workshops and their association with interconnectedness, well-being, and extended perception measure changes in a prospective, uncontrolled, within-participant design study. Particip...

Introduction: Personal development workshops are increasingly popular. This study evaluated the relationships between measures of well-being, interconnectedness, and extended perception in a variety of these workshops, and it explored which kinds of workshops and individual characteristics predicted changes in these outcomes. Materials and Methods:...

Introduction: Personal development workshops are increasingly popular. This study evaluated the relationships between measures of well-being, interconnectedness, and extended perception in various workshops and explored which kinds of workshops and individual characteristics predicted changes in these outcomes. Materials and Methods: In a prospecti...

Reproducibility is a cornerstone of scientific communication without which one cannot build upon each other’s work. Because modern human brain imaging relies on many integrated steps with a variety of possible algorithms, it has, however, become impossible to report every detail of a data processing workflow. In response to this analytical complexi...

In this study, a classification task asked participants to look at 180 facial photographs of deceased individuals (photographs were taken years prior to their deaths) and guess the cause of death from three equiprobable categories: heart attack; death by firearm; or car accident. Electroencephalogram (EEG) and electrocardiogram (ECG) data were simu...

Meditation has been deemed a miracle cure for a wide range of neurological disorders. However, it is unclear whether meditation practice would be beneficial for patients suffering from epilepsy. Here we report on the comparison of the effects of focused-attention meditation and a control task on electroencephalographic (EEG) activity in a patient u...

Modulation of the amplitude of high-frequency cortical field activity locked to changes in the phase of a slower brain rhythm is known as phase-amplitude coupling (PAC). The study of this phenomenon has been gaining traction in neuroscience because of several reports on its appearance in normal and pathological brain processes in humans as well as...

Introduction The term ”energy medicine” describes healing modalities that manipulate or channel purported subtle energies associated with the body. The objectives of this pilot study were to determine the feasibility of studying energy medicine for people with carpal tunnel pain and gathering relevant preliminary data. Methods Following a prospect...

Modulation of the amplitude of high-frequency cortical field activity locked to changes in phase of a slower brain rhythm is known as phase-amplitude coupling (PAC). The study of this phenomenon has been gaining traction in neuroscience because of several reports on its appearance in normal and pathological brain processes in humans as well as acro...

Previously reported experiments suggest that healing intention focused toward water, or merely taking place in the vicinity of water, affects the hydrogen-oxygen (HO) covalent bonds. This claim was explored in the context of a clinical energy medicine pilot study involving 17 practitioners and 190 participants. In a “direct” test, samples of water...

Introduction Some “energy medicine” modalities, such as Reiki, continue to show evidence for efficacy, but the underlying mechanisms of action are still uncertain. To help illuminate possible mechanisms, this exploratory mixed-method study using qualitative and quantitative analyses investigated: 1) How do energy medicine sessions function from the...

Introduction Outcomes of medical treatments tend to be highly variable. Some of the underlying variance is due to well-known factors such as age, gender, ethnicity, and effects of local weather. There are also less obvious influences including variations in solar wind, the Earth's geomagnetic field, and the interplanetary magnetic field. This study...

Introduction Previously reported experiments suggest that aspects of the physical environment, in particular measures of negentropy (i.e., order) associated with the statistical outputs of truly random number generators, may be affected during periods of focused mental attention. The present study was designed to conceptually replicate those report...

During the practice of meditation, the occurrence of self-generated and spontaneous thought and the tendency of the mind to wander away from the intended goal of meditation is ubiquitous, and comprises one of the fundamental teachings of meditation: a heightened awareness of where our attention is placed, and an awareness of the contents of our min...

Alterations in brain connectivity has been shown for many disease states and groups of people from different levels of cognitive training. To study dynamic functional connectivity, we propose a method for a personalized connectomic state space called Thought Chart. Experienced meditators are an interesting group of healthy subjects for brain connec...