Forecasting the Future: A Comprehensive Review of Time Series Prediction Techniques

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(2s), P. 575 - 586

Published: April 4, 2024

Time series forecasting is a critical aspect of data analysis, with applications ranging from finance and economics to weather prediction industrial processes. This review paper explores the evolution time techniques, analyzing progression classical methods modern approaches. It synthesizes key advancements, discusses challenges, future directions provides insights into emerging trends. Traditional often struggle capturing complex patterns dynamics present in real-world data. study efficacy cutting-edge models, such as long short-term memory (LSTM) networks, recurrent neural networks (RNNs), intricate temporal dependencies. also aims guide researchers practitioners selecting appropriate for diverse applications. We categorize existing approaches, discuss their strengths limitations, highlight trends field.

Language: Английский

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A practical guide to EEG hyperscanning in joint action research: from motivation to implementation

Social Cognitive and Affective Neuroscience, Journal Year: 2024, Volume and Issue: 19(1)

Published: Jan. 1, 2024

Developments in cognitive neuroscience have led to the emergence of hyperscanning, simultaneous measurement brain activity from multiple people. Hyperscanning is useful for investigating social cognition, including joint action, because its ability capture neural processes that occur within and between people as they coordinate actions toward a shared goal. Here, we provide practical guide researchers considering using hyperscanning study action seeking avoid frequently raised concerns skeptics. We focus specifically on Electroencephalography (EEG) which widely available optimally suited capturing fine-grained temporal dynamics coordination. Our guidelines cover questions are likely arise when planning project, ranging whether appropriate answering one's research considerations design, dependent variable selection, data analysis visualization. By following clear facilitate careful consideration theoretical implications design choices other methodological decisions, can mitigate interpretability issues maximize benefits paradigms.

Language: Английский

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Decoding in the Fourth Dimension: Classification of Temporal Patterns and Their Generalization Across Locations

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(2)

Published: Jan. 30, 2025

ABSTRACT Neuroimaging research has increasingly used decoding techniques, in which multivariate statistical methods identify patterns neural data that allow the classification of experimental conditions or participant groups. Typically, features for are spatial nature, including voxel and electrode locations. However, strength many neurophysiological recording techniques such as electroencephalography magnetoencephalography is their rich temporal, rather than spatial, content. The present report introduces time‐GAL toolbox, implements a method based on time information electrophysiological recordings. toolbox first quantifies decodable contained series. This then subsequent step, generalization across location (GAL), characterizes relationship between sensor locations ability to cross‐decode. Two datasets demonstrate usage involving (1) event‐related potentials response affective pictures (2) steady‐state visual evoked aversively conditioned grating stimuli. In both cases, were successfully decoded temporal Spatial cross‐decoding occurred regions known be involved processing. We conclude approach implemented holds promise analyzing series from wide range paradigms measurement domains providing an assumption‐free quantifying differences processing whether these shared

Language: Английский

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Periodic and aperiodic contributions to theta‐beta ratios across adulthood

Psychophysiology, Journal Year: 2022, Volume and Issue: 59(11)

Published: June 25, 2022

Abstract The ratio of fronto‐central theta (4–7 Hz) to beta oscillations (13–30 Hz), known as the theta‐beta ratio, is negatively correlated with attentional control, reinforcement learning, executive function, and age. Although ratios have been found decrease age in adolescents young adults, has increase older adults. Moreover, age‐related individual alpha peak frequency flattening 1/ f aperiodic component may artifactually inflate association between These factors lead an incomplete understanding how varies across lifespan extent which variation due a conflation periodic activity. We conducted partially preregistered analysis examining cross‐sectional associations resting canonical frequency, ( n = 268; 36–84, M 55.8, SD 11.0). Age was associated ratios, frequencies, exponent. correlation remained after controlling for but nonsignificant when Aperiodic exponent fully mediated relationship age, although significantly theta, alpha, Results replicate previous observations show decreases are not frequencies primarily explained by

Language: Английский

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A practical introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA)

Developmental Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 55, P. 101114 - 101114

Published: May 13, 2022

This EEG methods tutorial provides both a conceptual and practical introduction to promising data reduction approach for time-frequency representations of data: Time-Frequency Principal Components Analysis (TF-PCA). Briefly, the unique value TF-PCA is that it data-reduction does not rely on strong priori constraints regarding specific timing or frequency boundaries an effect interest. Given characteristics various neurocognitive process are known change across development, thus particularly well suited analysis developmental TF data. background knowledge, theory, information needed allow individuals with basic experience begin applying their own Crucially, this article accompanied by companion GitHub repository contains example code, data, step-by-step guide how perform TF-PCA: https://github.com/NDCLab/tfpca-tutorial. Although framed in terms utility protocols code covered can be applied more broadly populations

Language: Английский

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Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis

Translational Psychiatry, Journal Year: 2023, Volume and Issue: 13(1)

Published: Dec. 14, 2023

Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased for low and high frequencies reduced middle frequencies. However, these yet to be quantified using effect sizes probed robustly consistency, which are critical next steps clinical translation. Following PRISMA guidelines, we conducted a systematic review of published gray literature on autism. We performed 10 meta-analyses synthesize quantify absolute relative delta, theta, alpha, beta, gamma also moderator analyses determine whether demographic characteristics, methodological details, risk-of-bias indicators might account heterogeneous study sizes. Our search selection processes yielded 41 studies involving 1,246 autistic 1,455 neurotypical individuals. Meta-analytic models 135 demonstrated that individuals exhibited alpha (g = -0.35) (absolute: g 0.37, relative: 1.06) power, but similar delta 0.06, 0.10), theta -0.03, -0.15), -0.17), beta 0.01, 0.08) power. Substantial heterogeneity was observed (I2: 36.1-81.9%) 64.6-84.4%) bands. Moderator revealed age, biological sex, IQ, referencing scheme, epoch duration, use gold-standard diagnostic instruments did not moderate In contrast, paradigm type (eyes-closed versus eyes-open) moderated sizes, recording duration These findings support further investigation as potential biomarkers

Language: Английский

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Alpha‐band oscillations and emotion: A review of studies on picture perception

Psychophysiology, Journal Year: 2023, Volume and Issue: 60(12)

Published: Sept. 19, 2023

Although alpha-band activity has long been a focus of psychophysiological research, its modulation by emotional value during picture perception only recently studied systematically. Here, we review these studies and report that the most consistent alpha oscillatory pattern indexing processing is an enhanced desynchronization (ERD) over posterior sensors when viewing compared with neutral pictures. This ERD not specific to unpleasant content, as previously proposed for other measures affective response, but also observed pleasant stimuli. Evidence suggests this effect confined band it involves lower beta frequencies (8-20 Hz). The occurs even after massive stimulus repetition cues serve task-irrelevant distractors, hypothesis evaluative processes are mandatory in processing. A similar significant (e.g., conditioned aversive stimuli, or anticipation potential threat), suggesting reflects cortical excitability associated engagement motivational systems.

Language: Английский

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Evaluating the effectiveness of artifact correction and rejection in event‐related potential research

Psychophysiology, Journal Year: 2024, Volume and Issue: 61(5)

Published: Jan. 2, 2024

Abstract Eyeblinks and other large artifacts can create two major problems in event‐related potential (ERP) research, namely confounds increased noise. Here, we developed a method for assessing the effectiveness of artifact correction rejection methods minimizing these problems. We then used this to assess common minimization approach, which independent component analysis (ICA) is correct ocular artifacts, reject trials with extreme values resulting from sources (e.g., movement artifacts). This approach was applied data five ERP components (P3b, N400, N170, mismatch negativity, error‐related negativity). Four scoring (mean amplitude, peak latency, 50% area latency) were examined each component. found that eyeblinks differed systematically across experimental conditions several components. also reasonably effective at confounds, although it did not usually eliminate them completely. In addition, voltage reducing noise, benefits eliminating outweighing reduced number available averaging. For researchers who are analyzing similar participant populations, combination approaches should minimize artifact‐related lead improved quality. Researchers or populations use study determine their data.

Language: Английский

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Managing EEG studies: How to prepare and what to do once data collection has begun

Psychophysiology, Journal Year: 2023, Volume and Issue: 60(11)

Published: June 14, 2023

In this paper, we provide guidance for the organization and implementation of EEG studies. This work was inspired by our experience conducting a large-scale, multi-site study, but many elements could be applied to any project. Section 1 focuses on study activities that take place before data collection begins. Topics covered include: establishing training teams, considerations task design piloting, setting up equipment software, development formal protocol documents, planning communication strategy with all team members. 2 what do once has already begun. (1) how effectively monitor maintain quality, (2) ensure consistent experimental protocols, (3) develop rigorous preprocessing procedures are feasible use in large-scale study. Links resources also provided, including sample software tracking forms, code, tutorial videos (to access resources, please visit: https://osf.io/wdrj3/).

Language: Английский

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A meta‐analysis of electrophysiological biomarkers of reward and error monitoring in substance misuse

Psychophysiology, Journal Year: 2024, Volume and Issue: 61(5)

Published: Jan. 18, 2024

Abstract Substance use disorders are characterized by marked changes in reward and error processing. The primary objective of this meta‐analysis was to estimate effect sizes for the positivity (RewP) error‐related negativity (ERN), two event‐related potential indicators outcome monitoring, substance users compared controls. secondary test moderation demographic, type, EEG experiment parameters. Final PubMed searches were performed August 2023. Inclusion criteria disorder/dependence or validated self‐report misuse, RewP/ERN means available, healthy control comparison group, non‐acute drug study, peer‐reviewed journal, English language, human participants. Selection bias tested through modified Egger's regression exploratory 3‐parameter selection model tests. RewP results (19 studies, 1641 participants) did not support an overall (Hedges' g = 0.07, 95% CI [−0.44, 0.58], p .777) nor any moderators. ERN (20 1022 indicated no significant ( 0.41, 95%CI [−0.05, 0.88]). Subgroup analyses that cocaine had a blunted controls 1.12, [0.77, 1.47]). There limited evidence publication/small study bias. Although indicate dissociation between types, revealed need additional research on using populations better designed experiments adequately address questions.

Language: Английский

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