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Full-Text Articles in Neuroscience and Neurobiology

From Stranger To Self: The Role Of Familiarity In Modulating The N170 And N250 Erp Components, Tabish Gul May 2026

From Stranger To Self: The Role Of Familiarity In Modulating The N170 And N250 Erp Components, Tabish Gul

Dissertations

This study investigated how varying levels of face familiarity modulate the N170 and N250 event-related potential (ERP) components, two neural markers of face perception and recognition. While the N250 is widely considered familiarity-sensitive, the N170 has traditionally been linked to the structural encoding stage of face perception. However, recent research suggests that face familiarity may also influence N170 amplitude and latency. While most previous studies have compared up to three familiarity levels, the present study examined five levels of familiarity: own face, friend’s face, famous face, experimentally familiar face, and unfamiliar face. Twenty-six participants viewed face images while completing a …


Assessing The Effects Of Theta Transcranial Alternating Current Stimulation During Working Memory Performance On Theta-Gamma Phase Amplitude Coupling In Healthy Adults, Samantha M. Zimmer Jan 2026

Assessing The Effects Of Theta Transcranial Alternating Current Stimulation During Working Memory Performance On Theta-Gamma Phase Amplitude Coupling In Healthy Adults, Samantha M. Zimmer

UNF Graduate Theses and Dissertations

Transcranial alternating current stimulation (tACS) is an emerging form of noninvasive brain stimulation with substantial effects on behavior and brain function due to its ability to entrain endogenous neural oscillations. Working memory is a cognitive process that involves holding onto information that is no longer present in the environment and manipulating or reorganizing information for immediate use. Theta oscillations are critical for the functionality of the frontoparietal network and are involved in strengthening communication and coordination between frontal and parietal brain regions, especially during working memory processing. TACS applied at the theta frequency, targets theta oscillations, strengthens network communications, and …


Exploring The Processing Of Objects, Settings, And Global Properties In Natural Auditory Scenes, Margaret A. Mcmullin Aug 2025

Exploring The Processing Of Objects, Settings, And Global Properties In Natural Auditory Scenes, Margaret A. Mcmullin

UNLV Theses, Dissertations, Professional Papers, and Capstones

Our auditory system has a remarkable ability to make sense of complex environments, allowing us to identify what we are hearing and where sounds come from. This process of auditory scene analysis is essential for situational awareness, decision-making, and effective communication in daily life. While much is known about how listeners segregate and identify individual sound sources (e.g., voices), less is understood about how global properties of a scene (e.g., openness, naturalness) contribute to perception. This dissertation examined how object- and setting-level information in natural auditory scenes are processed, and whether they rely on distinct or overlapping mechanisms. In Experiment …


Deep Jansen-Rit Parameter Inference For Model-Driven Analysis Of Brain Activity, Deepa Tilwani, Christian O'Reilly Apr 2025

Deep Jansen-Rit Parameter Inference For Model-Driven Analysis Of Brain Activity, Deepa Tilwani, Christian O'Reilly

Faculty Publications

Accurately modeling effective connectivity (EC) is critical for understanding how the brain processes and integrates sensory information. Yet, it remains a formidable challenge due to complex neural dynamics and noisy measurements such as those obtained from the electroencephalogram (EEG). Model-driven EC infers local (within a brain region) and global (between brain regions) EC parameters by fitting a generative model of neural activity onto experimental data. This approach offers a promising route for various applications, including investigating neurodevel- opmental disorders. However, current approaches fail to scale to whole-brain analyses and are highly noise-sensitive. In this work, we employ three deep-learning architectures—a …


An Erp Study Of Attentional Blink And Inhibition Of Return, Caesar Ekya Feb 2025

An Erp Study Of Attentional Blink And Inhibition Of Return, Caesar Ekya

Dissertations, Theses, and Capstone Projects

Attention can be allocated over time and space and it has long been speculated whether these are a part of the same or different attentional mechanisms. Attentional Blink (AB) and Inhibition of Return (IOR) are cognitive phenomena that are used in experimental settings to study temporal attention (AB) and spatial attention (IOR) respectively. Though known for being representative of different types of attention, they nevertheless display similar characteristics, making them intriguing choices to study the interplay between temporal and spatial attention. For this study we chose a dual-stream rsvp paradigm that would elicit both AB and IOR within the same …


The Cognition Of Emotion: How Cognitive Control And Working Memory Underly Emotion Regulation Strategy Differences, Nathan Chabin Jan 2025

The Cognition Of Emotion: How Cognitive Control And Working Memory Underly Emotion Regulation Strategy Differences, Nathan Chabin

Pitzer Senior Theses

Working memory is crucial for comprehensively grasping the dynamics of emotion regulation (ER) and cognitive control, as it serves as a foundational cognitive resource that influences how individuals manage their thoughts, emotions, and behaviors. This research aimed to examine the role working memory capacity (WMC) has on Frontal Midline Theta (FMT), an EEG marker for cognitive control, during two common ER strategies: emotional suppression and cognitive reappraisal. Participants performed both an Operation Span working memory task and an ER task, where they viewed a series of negative and neutral images across three conditions. First, participants were instructed to passively view, …


Theoretical Analysis Of Cnns For Automatic Seizure Detection In Eeg Signals, Jackson T. Small Jan 2025

Theoretical Analysis Of Cnns For Automatic Seizure Detection In Eeg Signals, Jackson T. Small

Honors Undergraduate Theses

Epilepsy is a common brain disorder where neurons in the brain rapidly fire, causing recurring seizures. The brain activity during a seizure can be detected by electroencephalogram (EEG) signals; however, this process is not only labor-intensive and time-consuming but is also subject to inter-rater variability, with a study showing only moderate agreement when diagnosing patients, even among experts. Convolutional Neural Networks (CNNs) are often proposed to detect seizures automatically, achieving high performance. The focus on performance comes at a cost of losing interpretability, leaving the model as effective but seen as a ’black box’. This thesis confronts the interpretability knowledge …


Flanker Task Performance In Young And Older Adults: A Behavioral And Erp Study, Fatima Medrano Jun 2024

Flanker Task Performance In Young And Older Adults: A Behavioral And Erp Study, Fatima Medrano

Dissertations, Theses, and Capstone Projects

Research suggests that as we get older, executive function abilities decline (Hasher & Zacks, 1988; Salthouse, 1996). One affected ability is that of inhibitory control, which aids in monitoring our responses to non-target stimuli or information. Current research on inhibition reveals inconsistencies across studies. Monitoring brain responses during the Flanker (used to measure inhibitory control) task may add valuable insight into the processes underlying group differences behaviorally, by studying the N200 and P300 event-related potentials which have been associated with inhibitory control processes. This study investigated whether there are differences between older and younger adults in inhibitory control and whether …


P300 Event-Related Potential Responses To Self-Relevant Stimuli, Jordan Razzak May 2024

P300 Event-Related Potential Responses To Self-Relevant Stimuli, Jordan Razzak

Electronic Theses and Dissertations

Previous literature has suggested an apparent P300 sensitivity to self-relevant stimuli. To further explore this relationship, we asked participants to submit 10 photos, each of a particular category (e.g. footwear, plants), to be used as either targets or distractors in a given condition of an oddball task. Furthermore, we attempted to see whether the effect of self-relevance on the P300 could be induced in a participant by allowing them to study a set of unique photos which would then be used as targets. Our analysis suggested that P300 amplitude elicited in response to self-relevant stimuli used as targets was statistically …


Voluntary Action And Conscious Intention, Jake Gavenas Aug 2023

Voluntary Action And Conscious Intention, Jake Gavenas

Computational and Data Sciences (PhD) Dissertations

Traditional experimental methodology in neuroscience involves comparing responses to different stimuli to make inferences about the human brain. However, human volition entails making decisions and acting in a manner that is underdetermined by the external environment. Investigations of the neuronal basis of volition have led to new controversies regarding the existence of free will, and offer potential directions for medical treatments of disorders such as addiction, akinetic mutism, and locked-in syndrome. However, because volition experiments leave aspects of responses “up to” participants, neuroscientists must utilize computational techniques such as modeling, simulation, and advanced analyses to progress our understanding of human …


Unraveling The Neural Basis Of Emotions: Advancing Understanding With Ecologically Valid Paradigms And High-Resolution Intracranial Eeg, Tiankang Xie Jun 2023

Unraveling The Neural Basis Of Emotions: Advancing Understanding With Ecologically Valid Paradigms And High-Resolution Intracranial Eeg, Tiankang Xie

Dartmouth College Ph.D Dissertations

Background

Emotion arises from integrating information about the external world with memories of past experiences, current homeostatic states, and future goals. They play a vital role in regulating our thoughts, feelings and behaviors, significantly impacting our mental health. Thus, it is important to understand the neurobiological mechanisms that give rise to emotions. While there has been considerable work investigating the neural basis of emotions, progress has been hampered by several methodological limitations. For example, prior work has relied on relatively simple and isolated stimuli, which often fail to effectively capture the dynamic and multifaceted nature of emotional experiences in real-life …


Neural Mechanisms Of Language Development In Infancy, Scott Huberty, Christian O'Reilly, Virginia Carter Leno, Mandy Steiman, Sara J. Webb, Mayada Elsabbagh, The Basis Team Mar 2023

Neural Mechanisms Of Language Development In Infancy, Scott Huberty, Christian O'Reilly, Virginia Carter Leno, Mandy Steiman, Sara J. Webb, Mayada Elsabbagh, The Basis Team

Publications

Understanding the neural processes underpinning individual differences in early language development is of increasing interest, as it is known to vary in typical development and to be quite heterogeneous in neurodevelopmental conditions. However, few studies to date have tested whether early brain measures are indicative of the developmental trajectory of language, as opposed to language outcomes at specific ages. We combined recordings from two longitudinal studies, including typically developing infants without a family history of autism, and infants with increased likelihood of developing autism (infant-siblings) (N = 191). Electroencephalograms (EEG) were recorded at 6 months, and behavioral assessments at …


Eeg-Based Spanish Language Proficiency Classification: An Eeg Power Spectrum And Cross-Spectrum Analysis, Blaise Xavier O'Mara, Skyler Baumer Jan 2023

Eeg-Based Spanish Language Proficiency Classification: An Eeg Power Spectrum And Cross-Spectrum Analysis, Blaise Xavier O'Mara, Skyler Baumer

Honors Theses and Capstones

Second language proficiency may be predicted with electrophysiological techniques. In a machine learning application, this electrophysiological data may be used for language instructors and language students to assess their language learning. This study identifies how electroencephalogram (EEG) power spectrum and cross spectrum data of the brain cortex relates to Spanish second language (L2) proficiency of 20 Spanish language students of varying proficiency levels at the University of New Hampshire. The two metrics for assessing cortical power and processing were event-related desynchronization (ERD)—a measure of relative change in power—of the alpha (8-12 Hz) brain frequency band, and alpha and beta (13-30Hz) …


The Influence Of Aging And Cognitive Load On Neural Oscillations: An Analysis Of Resting-State And Task-Related Alpha Waves, Heather Shipley Jan 2023

The Influence Of Aging And Cognitive Load On Neural Oscillations: An Analysis Of Resting-State And Task-Related Alpha Waves, Heather Shipley

CMC Senior Theses

Neurodegenerative disease associated with aging can have devastating effects on cognitive function, but of interest is how healthy aging affects cognitive and neural function. One measure of neural function associated with aging and cognitive decline is alpha-band oscillations (8-13 Hz) in electroencephalography data (EEG). Alpha-band oscillations are thought to play a role in complex cognitive function and network coordination through inhibitory processes indexed via alpha suppression. We examined whether the aperiodic component of neural activity, a marker of neural noise, influences findings of age-related differences in alpha-band oscillatory activity. In this study, we examined how aging and increased cognitive load …


Individual Differences In Lpp Amplitude And Theta Power Predict Cue-Induced Eating During A Cued Food Delivery Task, Kyla Gibney Dec 2022

Individual Differences In Lpp Amplitude And Theta Power Predict Cue-Induced Eating During A Cued Food Delivery Task, Kyla Gibney

Dissertations and Theses (Open Access)

Due to individual differences in the brain’s reward system, some individuals are more vulnerable than others to maladaptive, reward-seeking behaviors, such as substance use or compulsive eating. A body of research has demonstrated that individuals who attribute higher levels of incentive salience to reward-associated cues than to pleasant images (termed “C>P group” throughout) are more vulnerable to compulsive eating than those who attribute higher incentive salience to pleasant images than reward- associated cues (P>C group). Meanwhile, a separate body of research has demonstrated that cognitive control also regulates eating by enabling top-down attentional control. This dissertation aims to …


The Distinction Of Logical Decision According To The Model Of The Analysis Of Brain Signals (Eeg), Akeel Abdulkareem Al-Sakaa, Zaid H. Nasralla, Mohsin Hasan Hussein, Saif A. Abd, Hazim Alsaqaa, Kesra Nermend, Anna Borawska Aug 2022

The Distinction Of Logical Decision According To The Model Of The Analysis Of Brain Signals (Eeg), Akeel Abdulkareem Al-Sakaa, Zaid H. Nasralla, Mohsin Hasan Hussein, Saif A. Abd, Hazim Alsaqaa, Kesra Nermend, Anna Borawska

Karbala International Journal of Modern Science

Recently, brain signal patterns have been recruited by researchers in different life activities. Researchers have studied each life activity and how brain signal patterns appear. These patterns could then be generalised and used in different disciplines. In this paper, we study the brain state during decision making in a lottery experiment. An EEG device is used to capture brain signals during an experiment to extract the optimal state for logical decision making. After collecting data, extracting useful information and then processing it, the proposed method is able to identify rational decisions from irrational ones with a success rate of 67%.


The Impact Of Focused Attention And Opening Monitoring Meditation Styles On Attention, Jennifer Wheary Jun 2022

The Impact Of Focused Attention And Opening Monitoring Meditation Styles On Attention, Jennifer Wheary

Dissertations, Theses, and Capstone Projects

Mindfulness meditation – often broken down into two distinct types, focused attention (FA) and open monitoring (OM) – has been associated with a range of affective and attentional benefits. Using an attentional blink (AB) paradigm that demonstrated improved attention for novice FA meditators, we explored whether novices who engaged in a single, brief bout of meditation exhibited any differences in alpha or theta power during meditation, and whether these differences were apparent by meditation type. In the AB paradigm, participants are asked to identify two targets, T1 and T2, which are separated by 200-500 ms. Our results showed no significant …


Investigating Steady State Visually Evoked Potentials As A Novel Biosignature For Anxiety-Related Attention Bias, Elizabeth R. Davis Jun 2022

Investigating Steady State Visually Evoked Potentials As A Novel Biosignature For Anxiety-Related Attention Bias, Elizabeth R. Davis

Dissertations, Theses, and Capstone Projects

Anxiety-related attention bias (AB), a type of cognitive bias underlying the development and maintenance of anxiety disorders, is typically defined as exaggerated attention towards threat; however, some individuals also demonstrate AB away from threat and in some instances, no detectable AB at all. Debate about the reliability and validity of AB behavioral measures has prompted examination of additional assessment methods. Neurophysiological methods, such electroencephalography (EEG), have yielded encouraging early findings. The steady-state visually evoked potential (SSVEP), a measure of selective visual attention derived from EEG, holds promise as a biosignature for AB. Research documents heightened SSVEP power to emotionally salient …


Cognitive Task Enhancement Through Alpha Neurofeedback, Hannah L. Meyer, Douglas Peterson May 2022

Cognitive Task Enhancement Through Alpha Neurofeedback, Hannah L. Meyer, Douglas Peterson

Honors Thesis

Neurofeedback training has been a recent field of study in neuroscience, as a potential way to increase focus, and possibly boost cognitive performance. Most studies utilize a course of neurofeedback training sessions to find positive results in decreasing ADHD symptoms, depression symptoms, as well as further cognitive changes. In this study, we aim to determine the efficacy of a single session of neurofeedback training in increasing cognitive performance. To do so, we randomly separated 42 volunteers into either a control or experimental group. The experimental group participated in an n-back task both before and after an alpha neurofeedback training session, …


Classical Conditioning Of Cognitive States, Arthur Burns Apr 2022

Classical Conditioning Of Cognitive States, Arthur Burns

Neuroscience Honors Papers

Classical conditioning has been a fundamental concept and practice throughout the history of psychology. While classical conditioning traditionally seeks to elicit target behaviors in correlation to specific stimuli, we sought to do the same with cognitive states in place of behaviors. Specifically, we wanted to determine the effectiveness of conditioning states of cognitive arousal in human participants in conjunction with cues presented in a designed learning task. We designed a cognitive task specifically for this research, referred to as “the Tone Pitching Task”, which utilized a combination of working memory and mental processing in order to elicit cognitive arousal and …


The Electrophysiological Correlates Of Text Integration And Direct Vs. Indirect Articles: A Centralized And Lateralized Examination, Deanna C. Hall Jan 2022

The Electrophysiological Correlates Of Text Integration And Direct Vs. Indirect Articles: A Centralized And Lateralized Examination, Deanna C. Hall

Theses and Dissertations (Comprehensive)

As we read, we develop mental models of the discourse content called situation models. Situation models are integral to how we keep track of information, and to do so in an ongoing event incoming information needs to be integrated into the model or discarded. The type of information being presented, and its relation to prior data, impacts how that new information is processed. The current research examined discourse passages containing concepts that were either previously mentioned (match), mentioned with a general term (general category), unmentioned in lieu of another concept (mismatch), or completely unmentioned previously (indeterminate), and examined how these …


Inter-Subject Correlation While Listening To Minimalist Music: A Study Of Electrophysiological And Behavioral Responses To Steve Reich’S Piano Phase, Tysen Dauer, Duc T. Nguyen, Nick Gang, Jacek P. Dmochowski, Jonathan Berger, Blair Kaneshiro Dec 2021

Inter-Subject Correlation While Listening To Minimalist Music: A Study Of Electrophysiological And Behavioral Responses To Steve Reich’S Piano Phase, Tysen Dauer, Duc T. Nguyen, Nick Gang, Jacek P. Dmochowski, Jonathan Berger, Blair Kaneshiro

Publications and Research

Musical minimalism utilizes the temporal manipulation of restricted collections of rhythmic, melodic, and/or harmonic materials. One example, Steve Reich’s Piano Phase, offers listeners readily audible formal structure with unpredictable events at the local level. For example, pattern recurrences may generate strong expectations which are violated by small temporal and pitch deviations. A hyper-detailed listening strategy prompted by these minute deviations stands in contrast to the type of listening engagement typically cultivated around functional tonal Western music. Recent research has suggested that the inter-subject correlation (ISC) of electroencephalographic (EEG) responses to natural audio-visual stimuli objectively indexes a state of “engagement,” demonstrating …


Multiple Approaches To Auditory Rhythm: Development Of Sustained Musical Beat And The Relation To Language, Development Of Rhythmic Categories Via Iterated Production, And A Meta-Analytic Study Of Neural Entrainment To Beat, Karli Marie Nave Dec 2021

Multiple Approaches To Auditory Rhythm: Development Of Sustained Musical Beat And The Relation To Language, Development Of Rhythmic Categories Via Iterated Production, And A Meta-Analytic Study Of Neural Entrainment To Beat, Karli Marie Nave

UNLV Theses, Dissertations, Professional Papers, and Capstones

Rhythm is ubiquitous to human communication, coordination, and experience of music. In this dissertation, I address three empirical questions through three different methodologies, all of which contribute to the growing body of literature on human auditory rhythm processing. In Chapter 2, I present a registered report detailing the results of independent conceptual replications of Nozaradan, Peretz, Missal, & Mouraux (2011), all using the same vetted protocol. Listeners performed the same tasks as in Nozaradan et al. (2011), with the addition of behavioral measures of perception. In neuroscience, neural correlates to musical beat perception have been identified, yet little to no …


Working Memory Task Performance In Children With Sli: A Behavioral And Erp Study, Megan V. Mcveety Sep 2021

Working Memory Task Performance In Children With Sli: A Behavioral And Erp Study, Megan V. Mcveety

Dissertations, Theses, and Capstone Projects

In addition to language deficits, children with Specific Language Impairment often show deficits in tests of various aspects of working memory, including capacity, updating, and selective attention. The purpose of the present study is to examine the specific drivers of differences in working memory processing in 8–11 year-old children with and without SLI using behavioral and electrophysiological measures. Participants completed an n-back task with three working memory load conditions (0-back, 1-back, 2-back), with the addition of distractor trials at the 1-back and 2-back levels. The SLI group performed significantly less accurately across all task conditions. The children with SLI also …


Classical Conditioning Of Cognitive States, Arthur Burns Jul 2021

Classical Conditioning Of Cognitive States, Arthur Burns

Neuroscience Presentations

This research sought out to do preliminary testing to prepare for honors research in the 2021 academic year. This research focuses on attempting to classically condition cognitive states. Learning tasks were designed to elicit relaxation or arousal in partisans and a combination of EEG data, pupil dilation data, performance on cognitive tasks, and self-report were used to evaluate the level of cognitive states in participants.


Classical Conditioning Of Cognitive States, Arthur Burns Jul 2021

Classical Conditioning Of Cognitive States, Arthur Burns

Neuroscience Summer Fellows

This research sought out to do preliminary testing to prepare for honors research in the 2021 academic year. This research focuses on attempting to classically condition cognitive states. Learning tasks were designed to elicit relaxation or arousal in partisans and a combination of EEG data, pupil dilation data, performance on cognitive tasks, and self-report were used to evaluate the level of cognitive states in participants.


Performance Of Openbci Eeg Binary Intent Classification With Laryngeal Imagery, Nathan George, Samuel Kuhn Jul 2021

Performance Of Openbci Eeg Binary Intent Classification With Laryngeal Imagery, Nathan George, Samuel Kuhn

Regis University Faculty Publications (comprehensive list)

One of the greatest goals of neuroscience in recent decades has been to rehabilitate individuals who no longer have a functional relationship between their mind and their body. Although neuroscience has produced technologies which allow the brains of paralyzed patients to accomplish tasks such as spell words or control a motorized wheelchair, these technologies utilize parts of the brain which may not be optimal for simultaneous use. For example, if you needed to look at flashing lights to spell words for communication, it would be difficult to simultaneously look at where you are moving. To improve upon this issue, this …


The Effect Of A Mindfulness-Based Intervention On Attention And Cognitive Control As A Function Of Smartphone Notifications., Joshua D. Upshaw Jul 2021

The Effect Of A Mindfulness-Based Intervention On Attention And Cognitive Control As A Function Of Smartphone Notifications., Joshua D. Upshaw

Graduate Theses and Dissertations

Barriers to accessing mobile technology, particularly smartphones, have decreased substantially since the iPhone’s release in 2007, resulting in increased ownership and usage across all ages, genders, and races. Despite their ubiquity in our society, relatively little empirical work has investigated the influence of smartphones on our higher order executive functioning. Prior work has linked smartphone use with impaired cognitive control during cognitively demanding tasks, especially in heavier smartphone users. The goals of the current study were twofold. First, the study aimed to examine the effects of smartphone notifications on cognitive control and attention. And second, to determine the effects of …


Rhythm Of The Night: Brain Activity And Performance On A Sustained Attention Task Is Modulated By Circadian Typology And Time Of Day, Carly R. Cooper May 2021

Rhythm Of The Night: Brain Activity And Performance On A Sustained Attention Task Is Modulated By Circadian Typology And Time Of Day, Carly R. Cooper

Honors Thesis

The human circadian system plays an important role in biological and psychological processes in both health and disease. Circadian typology refers to individual differences in circadian rhythm and is categorized into three general chronotypes: morning, evening, and neither. Research suggests that an individual’s diurnal preference may be associated with differences in cognitive abilities, personality traits, and incidence of psychiatric disorders. In the present study, we utilized a Sustained Attention to Response Task (SART) and an electroencephalogram (EEG) in a desynchrony protocol. Morning-type and evening-type participants completed a SART task on two separate occasions during which brain activity was recorded. This …


#Eegmanylabs: Investigating The Replicability Of Influential Eeg Experiments, Yuri G. Pavlov, Nika Adamian, Stefan Appelhoff, Mahnaz Arvaneh, Christopher S.Y. Benwell, Christian Beste, Amy R. Bland, Daniel E. Bradford, Florian Bublatzky, Niko A. Busch, Peter E. Clayson, Damian Cruse, Artur Czeszumski, Anna Dreber, Guillaume Dumas, Benedikt Ehinger, Giorgio Ganis, Xun He, José A. Hinojosa, Christoph Huber-Huber, Michael Inzlicht, Bradley N. Jack, Magnus Johannesson, Rhiannon Jones, Evgenii Kalenkovich, Laura Kaltwasser, Hamid Karimi-Rouzbahani, Andreas Keil, Peter Koning, Layla Kouara Apr 2021

#Eegmanylabs: Investigating The Replicability Of Influential Eeg Experiments, Yuri G. Pavlov, Nika Adamian, Stefan Appelhoff, Mahnaz Arvaneh, Christopher S.Y. Benwell, Christian Beste, Amy R. Bland, Daniel E. Bradford, Florian Bublatzky, Niko A. Busch, Peter E. Clayson, Damian Cruse, Artur Czeszumski, Anna Dreber, Guillaume Dumas, Benedikt Ehinger, Giorgio Ganis, Xun He, José A. Hinojosa, Christoph Huber-Huber, Michael Inzlicht, Bradley N. Jack, Magnus Johannesson, Rhiannon Jones, Evgenii Kalenkovich, Laura Kaltwasser, Hamid Karimi-Rouzbahani, Andreas Keil, Peter Koning, Layla Kouara

Psychology Faculty Research

There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability …