A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance

Topics in Cognitive Science

Published On 2023/9/14

Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation between these time series when estimating fractal properties. First, we briefly describe how fractal fluctuations have advanced a dynamic system understanding of cognition. Then, we describe mvDFA in detail and highlight some of the advantages of the approach for simulated data. Furthermore, we show how mvDFA can be used to investigate empirical multivariate data using electroencephalographic recordings during a time‐estimation task. We discuss this methodological development within the framework of interaction‐dominant dynamics. Moreover, we outline how the …

Journal

Topics in Cognitive Science

Published On

2023/9/14

Authors

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Position

Postdoc

H-Index(all)

13

H-Index(since 2020)

11

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Neurolinguistics

Cognitive Neuroscience

Parkinson's disease

Deep brain stimulation

University Profile Page

Martin Dietz

Martin Dietz

Aarhus Universitet

Position

DK

H-Index(all)

13

H-Index(since 2020)

12

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Neuroscience

Computational psychiatry

University Profile Page

Julien Patrick Irmer

Julien Patrick Irmer

Goethe-Universität Frankfurt am Main

Position

Research Assistant

H-Index(all)

2

H-Index(since 2020)

2

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

SEM

nonlinear effects

causality

stress at work

Other Articles from authors

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Authorea Preprints

Avoiding artifactual components in summary metrics in Deep Brain Stimulation corrupted MEG data

The surgical procedure or Deep Brain Stimulation (DBS) is an established technique aimed at neuromodulation and is most often used for treating neurological and neuropsychiatric disorders. In clinical studies, Magnetoencephalography (MEG) is a widely used technique for characterizing the effects of Deep Brain Stimulation (DBS). A significant limitation of DBS stimulation is the inability to distinguish stimulation artifacts from actual neuronal activity, especially in the lower frequencies, where it may obscure the biological response and be a confounding factor. This paper aims to understand how to circumvent the DBS artifactual component in the summary metrics of DBS-corrupted MEG data. To do the same, we used a watermelon as a phantom model of the head to deploy DBS electrodes. The spectral signature of the artifactual component of DBS and it's power in different clinically significant bands of interest …

Andreas Højlund

Andreas Højlund

Aarhus Universitet

European Journal of Neuroscience

Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms

The pleasurable urge to move to music (PLUMM) activates motor and reward areas of the brain and is thought to be driven by predictive processes. Dopamine in motor and limbic networks is implicated in beat‐based timing and music‐induced pleasure, suggesting a central role of basal ganglia (BG) dopaminergic systems in PLUMM. This study tested this hypothesis by comparing PLUMM in participants with Parkinson's disease (PD), age‐matched controls, and young controls. Participants listened to musical sequences with varying rhythmic and harmonic complexity (low, medium and high), and rated their experienced pleasure and urge to move to the rhythm. In line with previous results, healthy younger participants showed an inverted U‐shaped relationship between rhythmic complexity and ratings, with preference for medium complexity rhythms, while age‐matched controls showed a similar, but weaker …

Julien Patrick Irmer

Julien Patrick Irmer

Goethe-Universität Frankfurt am Main

A General Model-Implied Simulation-Based Power Estimation Method for Correctly and Misspecfied Models: Applications to Nonlinear and Linear Structural Equation Models

Closed form power estimation is only available for limited classes of models, requiring correct model specification for most applications. Simulation is used in other scenarios, but a general framework in computing required sample sizes for given power rates is still missing. We propose a new model-implied simulation-based power estimation (MSPE) method that makes use of the asymptotic normality property of estimates of a wide class of estimators, the M-estimators, and we give theoretical justification for the approach. M-estimators include maximum-likelihood estimates and least squares estimates, but also limited information estimators and estimators used for misspecified models, hence, the new power modeling method is widely applicable. We highlight its performance for linear and nonlinear structural equation models (SEM) and a moderated logistic regression model for correctly specified models and models under distributional misspecification. Simulation results suggest that the new power modeling method is unbiased and shows good performance with regard to root mean squared error and Type I error rates for the predicted required sample sizes and predicted power rates. Alternative approaches, such as the naıve approach of selecting arbitrary sample sizes with linear interpolation of power or simple logistic regression approaches, showed poor performance. The MSPE appears to be a valuable tool to estimate power for models without (asymptotic) analytical power estimation.

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Adapting to the Sound of Music—Development of Music Discrimination Skills in Recently Implanted CI Users

Cochlear implants (CIs) are optimized for speech perception but poor in conveying musical sound features such as pitch, melody, and timbre. Here, we investigated the early development of discrimination of musical sound features after cochlear implantation. Nine recently implanted CI users (CIre) were tested shortly after switch-on (T1) and approximately 3 months later (T2), using a musical multifeature mismatch negativity (MMN) paradigm, presenting four deviant features (intensity, pitch, timbre, and rhythm), and a three-alternative forced-choice behavioral test. For reference, groups of experienced CI users (CIex; n = 13) and normally hearing (NH) controls (n = 14) underwent the same tests once. We found significant improvement in CIre's neural discrimination of pitch and timbre as marked by increased MMN amplitudes. This was not reflected in the behavioral results. Behaviorally, CIre scored well above …

Julien Patrick Irmer

Julien Patrick Irmer

Goethe-Universität Frankfurt am Main

Journal of Occupational and Organizational Psychology

Does job crafting affect employee outcomes via job characteristics? A meta-analytic test of a key job crafting mechanism

Job crafting refers to the self‐initiated work behaviours employees use to change their job characteristics. According to job design theory, these crafting‐induced changes in job characteristics should impact employee outcomes. Job characteristics can therefore be proposed as a key mechanism through which job crafting affects employee outcomes and we present cross‐sectional meta‐analytic structural equation modelling of this key mechanism (K = 58 independent samples, N = 20,347 employees). Results show significant indirect effects between task resource crafting and employee outcomes (well‐being and positive job attitudes) via task resources, and significant indirect effects between social job crafting and employee outcomes (well‐being and positive job attitudes) via social resources. Results also indicated that challenge and hindrance demand crafting increase job strain via increases in job demand …

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Neuropsychologia

Speech comprehension across time, space, frequency, and age: MEG-MVPA classification of intertrial phase coherence

Language is a key part of human cognition, essential for our well-being at all stages of our lives. Whereas many neurocognitive abilities decline with age, for language the picture is much less clear, and how exactly speech comprehension changes with ageing is still unknown. To investigate this, we employed magnetoencephalography (MEG) and recorded neuromagnetic brain responses to auditory linguistic stimuli in healthy participants of younger and older age using a passive task-free paradigm and a range of different linguistic stimulus contrasts, which enabled us to assess neural processing of spoken language at multiple levels (lexical, semantic, morphosyntactic). Using machine learning-based classification algorithms to scrutinise intertrial phase coherence of MEG responses in cortical source space, we found that patterns of oscillatory neural activity diverged between younger and older participants across …

Andreas Højlund

Andreas Højlund

Aarhus Universitet

An fMRI study on the groove experience in Parkinson's disease

• Significant main effect of rhythm on urge to move and pleasure ratings, no significant main effect of group• Rhythm by group interaction observed for both ratings• Urge to move and pleasure ratings correlated across groups• Averaged PLUMM ratings show significant main effect of rhythm, no significant main effect of group, and a rhythm by group interaction

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Rhythm perception and experience of groove in cochlear implant users

RESULTS Alberte B. Seeberg1, Tomas E. Matthews1, Andreas Højlund2, Peter Vuust1, Bjørn Petersen1 INTRODUCTION DISCUSSION METHO

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Cortex; a journal devoted to the study of the nervous system and behavior

No selective action verb impairment in patients with Parkinson's disease: Evidence from Danish patients reading naturalistic texts, a commentary on García et al., 2018

No selective action verb impairment in patients with Parkinson's disease: Evidence from Danish patients reading naturalistic texts, a Commentary on García et al., 2018 No selective action verb impairment in patients with Parkinson's disease: Evidence from Danish patients reading naturalistic texts, a Commentary on García et al., 2018 Cortex. 2023 Jan:158:176-180. doi: 10.1016/j.cortex.2022.07.006. Epub 2022 Sep 10. Authors Marie Louise Holm Møller 1 , Sabine Hagen Høj 2 , Karen Østergaard 3 , Mikkel Wallentin 2 , Andreas Højlund 4 Affiliations 1 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Denmark; Dept. of Linguistics, Cognitive Science and Semiotics, Aarhus University, Denmark. Electronic address: marielouise@cfin.au.dk. 2 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Denmark; …

Martin Dietz

Martin Dietz

Aarhus Universitet

International Journal of Clinical and Health Psychology

Impaired social learning in patients with major depressive disorder revealed by a reinforcement learning model

Background/objectivePatients with major depressive disorder (MDD) have altered learning rates for rewards and losses in non-social learning paradigms. However, it is not well understood whether the ability to learn from social interactions is altered in MDD patients. Using reinforcement learning during the repeated Trust Game (rTG), we investigated how MDD patients learn to trust newly-met partners in MDD patients.MethodSixty-eight MDD patients and fifty-four controls each played as ‘investor’ and interacted with ten different partners. We manipulated both the level of trustworthiness by varying the chance of reciprocity (10, 30, 50, 70 and 90%) and reputation disclosure, where partners’ reputation was either pre-disclosed or hidden.ResultsOur reinforcement learning model revealed that MDD patients had significantly higher learning rates for losses than the controls in both the reputation disclosure and non …

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Beyond syncopation: the importance of rhythmic streams for the experience of groove

Beyond syncopation: the importance of rhythmic streams for the experience of groove — Aarhus University Skip to main navigation Skip to search Skip to main content Aarhus University Home Aarhus University Logo Help & FAQ English Dansk Home Profiles Research units Projects Research output Prizes Activities Courses Press/Media Search by expertise, name or affiliation Beyond syncopation: the importance of rhythmic streams for the experience of groove Alberte Baggesgaard Seeberg, Tomas Matthews, Andreas Højlund, Bjørn Petersen, Peter Vuust Department of Clinical Medicine - Center for Music In the Brain School of Communication and Culture - Cognitive Science Research output: Contribution to conference › Poster › Research › peer-review Overview Original language English Publication date 27 Aug 2023 Publication status Published - 27 Aug 2023 Event 17th International Conference on Music …

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Structural and functional changes in the retina in Parkinson’s disease

Parkinson’s disease is caused by degeneration of dopaminergic neurons, originating in the substantia nigra pars compacta and characterised by bradykinesia, rest tremor and rigidity. In addition, visual disorders and retinal abnormalities are often present and can be identified by decreased visual acuity, abnormal spatial contrast sensitivity or even difficulty in complex visual task completion. Because of their early onset in patients with de novo Parkinson’s disease, the anatomical retinal changes and electrophysiological modification could be valuable markers even at early stages of the disease. However, due to the concomitant occurrence of normal ageing, the relevance and specificity of these predictive values can be difficult to interpret. This review examines retinal dysfunction arising in Parkinson’s disease. We highlight the electrophysiological delays and decreased amplitude in the electroretinography …

Andreas Højlund

Andreas Højlund

Aarhus Universitet

Handling MEG Data Corrupted with Deep Brain Stimulation Artifacts-Some Pointers

Deep brain stimulation (DBS) is a therapeutic treatment used in pathological conditions, which is known to improve clinical state, but the effect-mechanisms are unclear. The electrophysiological study of effect-mechanisms is complicated by strong artifactual components blurring the boundary between brain activity and DBS-induced noise. To study the artifactual signatures and the effect of pre-processing steps such as spatiotemporal signal space separation (tSSS) and normalization on the DBS-corrupted MEG data, we deployed a watermelon-based phantom ‘implanted’ with DBS leads and stimulated the phantom with various DBS stimulation settings. We observe that tSSS can lead to a ‘spillover’ of artifacts between sensor types and bipolar stimulation leads to lower sub-harmonic (20 Hz) artifacts compared to monopolar stimulation. Normalized spectra, we show here, can be biased if artifactual spectral bins are …

2023/10/19

Article Details
Martin Dietz

Martin Dietz

Aarhus Universitet

bioRxiv

Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding

Our brain is constantly extracting, predicting, and recognising key spatiotemporal features of the physical world in order to survive. While neural processing of visuospatial patterns has been extensively studied, the hierarchical brain mechanisms underlying conscious recognition of auditory sequences and the associated prediction errors remain elusive. Using magnetoencephalography (MEG), we studied the brain functioning of 83 participants during recognition of previously memorised musical sequences and systematic variations. The results showed feedforward connections originating from auditory cortices, and extending to the hippocampus, anterior cingulate gyrus, and medial cingulate gyrus. Simultaneously, we observed backward connections operating in the opposite direction. Throughout the sequences, the hippocampus and cingulate gyrus maintained the same hierarchical level, except for the final tone, where the cingulate gyrus assumed the top position within the hierarchy. The evoked responses of memorised sequences and variations engaged the same hierarchical brain network but systematically differed in terms of temporal dynamics, strength, and polarity. Furthermore, induced-response analysis showed that alpha and beta power was stronger for the variations, while gamma power was enhanced for the memorised sequences. This study expands on the predictive coding theory by providing quantitative evidence of hierarchical brain mechanisms during conscious memory and predictive processing of auditory sequences.

2022/11/21

Article Details
Andreas Højlund

Andreas Højlund

Aarhus Universitet

Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users

Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users — Aarhus University Skip to main navigation Skip to search Skip to main content Aarhus University Home Aarhus University Logo Help & FAQ English Dansk Home Profiles Research units Projects Research output Prizes Activities Courses Press/Media Search by expertise, name or affiliation Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users Alberte Baggesgaard Seeberg, Peter Vuust, Andreas Højlund, Mark Fletcher, Samuel Perry, Kathleen F. Faulkner, Bjørn Petersen Department of Clinical Medicine - Center for Music In the Brain School of Communication and Culture - Cognitive Science Research output: Contribution to conference › Poster › Research › peer-review Overview Original language English Publication date May 2022 Publication status Published - May 2022 Event …

Martin Dietz

Martin Dietz

Aarhus Universitet

The 40-Hz auditory steady-state response in bipolar disorder: A meta-analysis

ObjectiveBipolar disorder is characterized by aberrant neurophysiological responses as measured with electroencephalography (EEG) and magnetoencephalography (MEG), including the 40-Hz auditory steady-state response (ASSR). 40-Hz ASSR deficits are also found in patients with schizophrenia and may represent a transdiagnostic biomarker of neuronal circuit dysfunction. In this systematic review and meta-analysis, we summarize and evaluate the evidence for 40-Hz ASSR deficits in patients with bipolar disorder.MethodsWe identified studies from PubMed, EMBASE, and SCOPUS. We assessed the risk of bias, calculated Hedges’ g meta-level effect sizes, and investigated small-study effects using funnel plots and Egger regression.ResultsSeven studies, comprising 396 patients with bipolar disorder and 404 healthy controls, were included in the meta-analysis. Studies displayed methodological …

Martin Dietz

Martin Dietz

Aarhus Universitet

European Psychiatry

Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography

IntroductionSchizophrenia (SZ) and bipolar disorder (BD) are severe mental illnesses with large overlapping heritability. Both disorders are associated with altered neurophysiological responses, as measured with magnetoencephalography (MEG) or electroencephalography (EEG), particularly reduced mismatch negativity (MMN) and 40 Hz auditory steady-state responses (ASSR). These deficits could potentially both serve as early markers of illness and provide insight into the underlying pathophysiology as endophenotypes. First-degree relatives to patients with SZ and BD also show some neurophysiological deficits, however whether these deficits can be detected in adolescent offspring of patients is undetermined.ObjectivesWe aim to investigate whether adolescents at familial high risk of schizophrenia and bipolar disorder show aberrant MMN and ASSR compared to population-based controls.MethodsWe will …

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Stephen Kintz

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Discourse Production Across the Adult Lifespan: Microlinguistic Processes

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Repressed Memories (of Sexual Abuse Against Minors) and Statutes of Limitations in Europe: Status Quo and Possible Alternatives

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Johns Hopkins University

Topics in Cognitive Science

Discourse Production Across the Adult Lifespan: Microlinguistic Processes

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Abdullah Almaatouq

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Massachusetts Institute of Technology

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The effects of group composition and dynamics on collective performance

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Topics in Cognitive Science

The collaborative nature of testimonial learning

Children's testimonial learning often occurs in epistemic collaborations with others. In this paper, we will discuss ways in which cultural learning emerges in social and interpersonal contexts, and is intrinsically supported and guided by children's collaborative capacities. Much work in cultural learning has focused on children's examination of speaker and model characteristics, but more recent research has investigated the interactive aspects of testimonial exchanges. We will review evidence that children (1) participate in the interpersonal commitments that are shared in testimonial transactions by way of direct address and epistemic buck passing, (2) participate in social groups that affect their selective learning in nuanced ways, and (3) may detect epistemic harms by listeners who refuse to believe sincere and accurate speakers. Implications for conceptualizing children's testimonial learning as an interactive …

Jonas Everaert

Jonas Everaert

Universiteit Gent

Topics in Cognitive Science

Modeling Effects of Rumination on Free Recall Using ACT-R

Ruminative thinking, characterized by a recurrent focus on negative and self‐related thought, is a key cognitive vulnerability marker of depression and, therefore, a key individual difference variable. This study aimed to develop a computational cognitive model of rumination focusing on the organization and retrieval of information in memory, and how these mechanisms differ in individuals prone to rumination and individuals less prone to rumination. Adaptive Control of Thought‐Rational (ACT‐R) was used to develop a rumination model by adding memory chunks with negative valence to the declarative memory. In addition, their strength of association was increased to simulate recurrent negative focus, thereby making it harder to disengage from. The ACT‐R models were validated by comparing them against two empirical datasets containing data from control and depressed participants. Our general and …

Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

Topics in Cognitive Science

Too Many Cooks: Bayesian Inference for Coordinating Multi-agent Collaboration (vol 13, pg 414, 2021)

Collaboration requires agents to coordinate their behavior on the fly, sometimes cooperating to solve a single task together and other times dividing it up into sub‐tasks to work on in parallel. Underlying the human ability to collaborate is theory‐of‐mind (ToM), the ability to infer the hidden mental states that drive others to act. Here, we develop Bayesian Delegation, a decentralized multi‐agent learning mechanism with these abilities. Bayesian Delegation enables agents to rapidly infer the hidden intentions of others by inverse planning. We test Bayesian Delegation in a suite of multi‐agent Markov decision processes inspired by cooking problems. On these tasks, agents with Bayesian Delegation coordinate both their high‐level plans (e.g., what sub‐task they should work on) and their low‐level actions (e.g., avoiding getting in each other's way). When matched with partners that act using the same algorithm …

Robert Goldstone

Robert Goldstone

Indiana University Bloomington

Topics in Cognitive Science

The emergence of specialized roles within groups

Humans routinely form groups to achieve goals that no individual can accomplish alone. Group coordination often brings to mind synchrony and alignment, where all individuals do the same thing (e.g., driving on the right side of the road, marching in lockstep, or playing musical instruments on a regular beat). Yet, effective coordination also typically involves differentiation, where specialized roles emerge for different members (e.g., prep stations in a kitchen or positions on an athletic team). Role specialization poses a challenge for computational models of group coordination, which have largely focused on achieving synchrony. Here, we present the CARMI framework, which characterizes role specialization processes in terms of five core features that we hope will help guide future model development: Communication, Adaptation to feedback, Repulsion, Multi‐level planning, and Intention modeling. Although there …