Leveraging Mixed-Effects Location Scale Models to Assess the ERP Mismatch Negativity’s Psychometric Properties and Trial-by-Trial Neural Variability in Toddler-Mother Dyads DOI Creative Commons
Serena K. Mon, Brittany L. Manning, Lauren S. Wakschlag

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 70, С. 101459 - 101459

Опубликована: Окт. 12, 2024

Trial-by-trial neural variability, a measure of response stability, has been examined in relation to behavioral indicators using summary measures, but these methods do not characterize meaningful processes underlying variability. Mixed-effects location scale models (MELSMs) overcome limitations by accounting for predictors and covariates variability have rarely used developmental studies. Here, we applied MELSMs the ERP auditory mismatch negativity (MMN), often related language psychopathology. 84 toddlers 76 mothers completed speech-syllable MMN paradigm. We extracted early late mean amplitudes from trial-level waveforms. first characterized our sample's psychometric properties found wide range subject-level internal consistency. Next, between toddler MMNs with theoretically relevant child maternal variables. offered better model fit than analyses that assumed constant significant individual differences trial-by-trial no associations their language, irritability, or mother indices. Overall, illustrate how can answer questions about provide recommendations resources as well example code analyzing future

Язык: Английский

Decoding cognition in neurodevelopmental, psychiatric and neurological conditions with multivariate pattern analysis of EEG data DOI Creative Commons
Gianluca Marsicano, Caterina Bertini, Luca Ronconi

и другие.

Neuroscience & Biobehavioral Reviews, Год журнала: 2024, Номер 164, С. 105795 - 105795

Опубликована: Июль 6, 2024

Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a revolutionary approach to investigate how the brain encodes information. By considering complex interactions among spatio-temporal features at individual level, MVPA overcomes limitations univariate techniques, which often fail account for significant inter- and intra-individual neural variability. This is particularly relevant when studying clinical populations, therefore EEG has recently started be employed as tool study cognition in disorders. Here, we review insights offered by this methodology anomalous patterns activity conditions such autism, ADHD, schizophrenia, dyslexia, neurological neurodegenerative disorders, within different cognitive domains (perception, attention, memory, consciousness). Despite potential drawbacks that should attentively addressed, these studies reveal peculiar sensitivity unveiling dysfunctional compensatory neurocognitive dynamics information processing, remain blind traditional approaches. Such higher characterizing profiles can provide unique opportunities optimise assessment promote personalised interventions.

Язык: Английский

Процитировано

11

The development and structure of the HEALthy Brain and Child Development (HBCD) Study EEG protocol DOI Creative Commons
Nathan A. Fox, Koraly Pérez‐Edgar, Santiago Morales

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 69, С. 101447 - 101447

Опубликована: Сен. 18, 2024

Язык: Английский

Процитировано

8

Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability DOI Creative Commons
Armen Bagdasarov,

Denis Brunet,

Christoph M. Michel

и другие.

Brain Topography, Год журнала: 2024, Номер 37(4), С. 496 - 513

Опубликована: Март 2, 2024

Abstract Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns scalp potential topographies, or microstates, that reflect stable but transient periods synchronized neural activity evolving dynamically over time. During infancy – critical period rapid brain development and plasticity microstate offers opportunity characterizing the spatial temporal dynamics activity. However, whether measurements derived from this approach (e.g., properties, transition probabilities, sources) show strong psychometric properties (i.e., reliability) during unknown key information advancing our understanding how microstates are shaped by early life experiences they relate to individual differences in infant abilities. A lack methodological resources performing has further hindered adoption cutting-edge researchers. As result, current study, we systematically addressed these knowledge gaps report most microstate-based organization functioning except probabilities were with four minutes video-watching data highly internally consistent just one minute. In addition results, provide step-by-step tutorial, accompanying website, open-access using free, user-friendly software called Cartool. Taken together, study supports reliability feasibility increases accessibility field developmental neuroscience.

Язык: Английский

Процитировано

6

Opportunities for use of neuroimaging in de-risking drug development and improving clinical outcomes in psychiatry: an industry perspective DOI Creative Commons
Amit Etkin,

Jessica Powell,

Adam Savitz

и другие.

Neuropsychopharmacology, Год журнала: 2024, Номер 50(1), С. 258 - 268

Опубликована: Авг. 21, 2024

Abstract Neuroimaging, across positron emission tomography (PET), electroencephalography (EEG), and magnetic resonance imaging (MRI), has been a mainstay of clinical neuroscience research for decades, yet penetrated little into psychiatric drug development beyond often underpowered phase 1 studies, or care. Simultaneously, there is pressing need to improve the probability success in development, increase mechanistic diversity, enhance efficacy. These goals can be achieved by leveraging neuroimaging precision psychiatry framework, wherein effects drugs on brain are measured early understand dosing indication, then later-stage trials identify likely responders enrich trials, ultimately improving outcomes. Here we examine key variables important using from lens biotechnology pharmaceutical companies developing deploying new psychiatry. We argue that clear paths incorporating different modalities de-risk subsequent phases near intermediate term, culminating use select care prescription drugs. Better outcomes through biomarkers, however, require wholesale commitment approach will necessitate cultural shift align biopharma orientation already routine other areas medicine.

Язык: Английский

Процитировано

5

Resting State EEG Variability and Implications for Interpreting Clinical Effect Sizes DOI Creative Commons
Eric Liu, Cidnee Luu, Lyndia C. Wu

и другие.

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Год журнала: 2024, Номер 32, С. 587 - 596

Опубликована: Янв. 1, 2024

Resting state electroencephalography (rsEEG) is widely used to investigate intrinsic brain activity, with the potential for detecting neurophysiological abnormalities in clinical conditions from neurodegenerative disease developmental disorders. When interpreting quantitative rsEEG changes, a key question is: how much deviation healthy normal indicates clinically significant change? Here, we build on existing variability literature by quantifying this baseline range can be attributed common but underinvestigated sources of variability: experiment day, time and pre-recording exercise level. We found that even within individuals, frequency band powers entropy measures vary 6% (sample relative alpha power) 25% (absolute delta power). Absolute power increased significantly after running, while theta decreased significantly. Relative beta gamma were higher afternoon compared morning trials. Sample relatively consistent. The coefficients are similar some effect sizes identified prior literature, bringing into significance these sizes. Furthermore, day activity level accounted more than indicating reduce controlling factors repeated-measures studies.

Язык: Английский

Процитировано

3

Bringing Imaging Biomarkers Into Clinical Reality in Psychiatry DOI
Amit Etkin, Daniel H. Mathalon

JAMA Psychiatry, Год журнала: 2024, Номер unknown

Опубликована: Сен. 4, 2024

Importance Advancing precision psychiatry, where treatments are based on an individual’s biology rather than solely their clinical presentation, requires attention to several key attributes for any candidate biomarker. These include test-retest reliability, sensitivity relevant neurophysiology, cost-effectiveness, and scalability. Unfortunately, these issues have not been systematically addressed by biomarker development efforts that use common neuroimaging tools like magnetic resonance imaging (MRI) electroencephalography (EEG). Here, the critical barriers methods will need overcome achieve relevance in near intermediate term examined. Observations Reliability is often overlooked, which together with aspects of neurophysiology replicated predictive utility, favors EEG-based methods. The principal barrier EEG has lack large-scale data collection among multisite psychiatric consortia. By contrast, despite its high structural MRI demonstrated utility may be due limited psychiatry-relevant neurophysiology. Given prevalence MRIs, establishment a compelling case remains barrier. low reliability difficulty standardizing functional MRI, along demonstration superior spatial resolution over ability directly image subcortical regions fact provide unique value. Often missing, moreover, consideration how various scientific can balanced against practical economic realities health care delivery today, embedding modeling into help direct research efforts. Conclusions Relevance seems most ripe near- intermediate-term impact, especially considering scalability cost-effectiveness. Recent broaden collection, as well low-cost turnkey systems, suggest promising pathway impact care. Continued focused hold promise longer-horizon utility.

Язык: Английский

Процитировано

3

Advancing the Reporting of Pediatric EEG Data: Tools for Estimating Reliability, Effect Size, and Data Quality Metrics DOI Creative Commons
Wenyi Xu,

A.D. Monachino,

Sarah A. McCormick

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 70, С. 101458 - 101458

Опубликована: Сен. 28, 2024

Язык: Английский

Процитировано

3

Examining the merits of an individual differences perspective on the hemispheric organization of discourse processing DOI
Robin Gerrits

Discourse Processes, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

0

International QEEG Certification Board Guideline Minimum Technical Requirements for Performing Clinical Quantitative Electroencephalography DOI
Thomas F. Collura, David Cantor,

Dan Chartier

и другие.

Clinical EEG and Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Quantitative electroencephalogram (QEEG) is a technology which has grown exponentially since the foundational publication by in Science 1997, introducing use of age-regressed metrics to quantify characteristics EEG signal, enhancing clinical utility neuropsychiatry. Essential validity and reliability QEEG standardization multi-channel data acquisition follows standards set forth American Clinical Neurophysiology Society including accurate management artifact facilitation proper visual inspection paroxysmal events both are expanded this guideline. Additional requirements on selection EEG, quality reporting, submission spectral, statistical, topographic analysis proposed. While there thousands features that can be mathematically derived using QEEG, common have been most recognized validated these along with other mathematical tools, such as low resolution electromagnetic tomographic analyses (LORETA) classifier functions, reviewed cautions noted. The efficacy applications depends strongly acquired correctness subsequent inspection, selection, processing. These recommendations described following sections minimum for supported International Certification Board (IQCB).

Язык: Английский

Процитировано

0

Test–retest reliability of decisions under risk with outcome evaluation: evidence from behavioral and event-related potentials (ERPs) measures in 2 monetary gambling tasks DOI

Jia Jin,

Qin Xiao,

Yuxuan Liu

и другие.

Cerebral Cortex, Год журнала: 2025, Номер 35(3)

Опубликована: Март 1, 2025

Abstract The balance between potential gains and losses under risk, the stability of risk propensity, associated reward processing, prediction subsequent behaviors over time have become increasingly important topics in recent years. In this study, we asked participants to carry out 2 tasks with outcome evaluation—the monetary gambling task mixed lottery twice, simultaneous recording behavioral electroencephalography data. Regarding behavior, observed both individual-specific attitudes outcome-contingent risky inclination following a loss outcome, which remained stable across sessions. terms event-related (ERP) results, low outcomes, compared high induced larger feedback-related negativity, was modulated by magnitude outcome. Similarly, outcomes evoked deflection P300 amplitude also being sensitive magnitude. Intraclass correlation coefficient analyses indicated that negativity exhibited modest good test–retest reliability tasks. choice prediction, found neural responses—especially those outcome—predicted risk-taking behavior at single-trial level for Therefore, study extends our understanding preferences gain-loss trade-offs.

Язык: Английский

Процитировано

0