scholarly journals Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life

2020 ◽  
Author(s):  
Natalie Schaworonkow ◽  
Bradley Voytek
Keyword(s):  
Early Adulthood ◽  
Later Life ◽  
Multiple Time ◽  
Neuronal Oscillations ◽  
Healthy Human ◽  
Cross Sectional ◽  
Electrophysiological Recordings ◽  
Inherent Feature ◽  
Multiple Time Points ◽  
Aperiodic Signal

AbstractNeuronal oscillations emerge in early human development. These periodic oscillations are thought to rapidly change in infancy and stabilize during maturity. Given their numerous connections to physiological and cognitive processes, as well as their pathological divergence, understanding the trajectory of oscillatory development is important for understanding healthy human brain development. This understanding is complicated by recent evidence that assessment of periodic neuronal oscillations is confounded by aperiodic neuronal activity, which is an inherent feature of electrophysiological neuronal recordings. Recent cross-sectional evidence shows that this aperiodic signal progressively shifts from childhood through early adulthood, and from early adulthood into later life. None of these studies, however, have been performed in infants, nor have they been examined longitudinally. Here, we analyzed non-invasive EEG data from 22 typically developing infants, across multiple time points, ranging between 38 and 203 days old. We show that the progressive flattening of the EEG power spectrum begins in very early development, continuing through the first several months of life. These results highlight the importance of separating the periodic and aperiodic neuronal signals, because the aperiodic signal can bias measurement of neuronal oscillations. Given the infrequent, bursting nature of oscillations in infants, we recommend the use of quantitative time domain approaches that isolate bursts and uncover changes in waveform properties of oscillatory bursts.

scholarly journals Using longitudinal imaging to map the ‘relapse signature’ of schizophrenia and other psychoses

2014 ◽  
Vol 23 (3) ◽  
pp. 219-225 ◽  
Author(s):  
V. L. Cropley ◽  
C. Pantelis
Keyword(s):  
Longitudinal Studies ◽  
Clinical Picture ◽  
Detailed Examination ◽  
Multiple Time ◽  
Imaging Studies ◽  
Cross Sectional ◽  
Time Points ◽  
Effect Of Treatment ◽  
Longitudinal Imaging ◽  
Multiple Time Points

Brain imaging studies in schizophrenia have typically involved single assessment and cross-sectional designs, while longitudinal studies rarely incorporate more than two time points. While informative, these studies do not adequately capture potential trajectories of neurobiological change, particularly in the context of a changing clinical picture. We propose that the analysis of brain trajectories using multiple time points may inform our understanding of the illness and the effect of treatment. This paper makes the case for frequent serial neuroimaging across the course of schizophrenia psychoses and its application to active illness epsiodes to provide a detailed examination of psychosis relapse and remission.

scholarly journals The ANTs Longitudinal Cortical Thickness Pipeline

2017 ◽  
Author(s):  
Nicholas J. Tustison ◽  
Andrew J. Holbrook ◽  
Brian B. Avants ◽  
Jared M. Roberts ◽  
Philip A. Cook ◽  
...  
Keyword(s):  
Confidence Intervals ◽  
Cortical Thickness ◽  
Mixed Effects ◽  
Single Subject ◽  
Multiple Time ◽  
Supporting Evidence ◽  
Cross Sectional ◽  
Mixed Effects Modeling ◽  
Multiple Time Points ◽  
Modeling Strategy

AbstractLongitudinal studies of development and disease in the human brain have motivated the acquisition of large neuroimaging data sets and the concomitant development of robust methodological and statistical tools for quantifying neurostructural changes. Longitudinal-specific strategies for acquisition and processing have potentially significant benefits including more consistent estimates of intra-subject measurements while retaining predictive power. In this work, we introduce the open-source Advanced Normalization Tools (ANTs) registration-based cortical thickness longitudinal processing pipeline and its application to the first phase of the Alzheimer’s Disease Neuroimaging Initiative (ADNI-1) comprising over 600 subjects with multiple time points from baseline to 36 months. We demonstrate in these data that the single-subject template construction and same orientation processing results in a simultaneous minimization of residual variability and maximization of between-subject variability immediately estimable from a longitudinal mixed-effects modeling strategy. It is known from the statistical literature that optimizing these dual criteria leads to greater scientific interpretability in terms of tighter confidence intervals in calculated mean trends, smaller prediction intervals, and narrower confidence intervals for determining cross-sectional effects. This strategy is evaluated over the entire cortex, as defined by the Desikan-Killiany-Tourville labeling protocol, where comparisons are made with the cross-sectional and longitudinal FreeSurfer processing streams. Subsequent linear mixed effects modeling for identifying diagnostic groupings within the ADNI cohort is provided as supporting evidence for the utility of the proposed ANTs longitudinal framework which provides unbiased structural neuroimage processing and competitive to superior power for longitudinal structural change detection.

Are “youth days” effective at motivating new sport participation? Evidence from a pre-post event research design

2019 ◽  
Vol 11 (1) ◽  
pp. 89-104
Author(s):  
Jordan Taylor Bakhsh ◽  
Luke R. Potwarka ◽  
Ryan Snelgrove
Keyword(s):  
Sport Participation ◽  
Control Group ◽  
Multiple Time ◽  
Elite Sport ◽  
Cross Sectional ◽  
Content Type ◽  
Sport Competition ◽  
Research Designs ◽  
Multiple Time Points ◽  
Motivation To Participate

Purpose The purpose of this paper is to explore the effects that exposure to a youth day event at an elite sport competition has on youth spectators’ motivations to participate in the sport on display. Design/methodology/approach The paper was underpinned by the theory of planned behavior (TPB). Pre- and post-event questionnaires were administered to local grade seven and eight students (n=318) as part of a youth day event at the 2016 Milton International Track Cycling Challenge in Ontario, Canada. Questionnaires assessed each TPB construct one week before the youth day and immediately following the event. Findings The paper provides empirical insights about the shifts from pre- to post-event behavioral antecedent measures. Results suggest youth day events can be effective at driving positive shifts in participation intention and subjective norm among youth populations. Research limitations/implications A control group was not possible as an ethical limitation was created from the school boards which did not allow for some students/classes within the study to not experience the event. Researchers are encouraged to develop a study which allows for a youth control group and assesses the shift in behavioral antecedents at multiple time points post-event. Practical implications The paper includes implications for how to leverage subjective norms as a means of motivating post-event participation. Originality/value The paper fulfils a methodological gap to move beyond cross-sectional data and employ pre-post event research designs to measure the effect spectating an elite sport competition can have on youth’s motivation to participate in the sport on display.

scholarly journals Ergodic Subspace Analysis

2020 ◽  
Vol 8 (1) ◽  
pp. 3 ◽  
Author(s):  
Timo von Oertzen ◽  
Florian Schmiedek ◽  
Manuel C. Voelkle
Keyword(s):  
Cognitive Abilities ◽  
Simulated Data ◽  
Population Level ◽  
Multiple Time ◽  
Subspace Analysis ◽  
Cross Sectional ◽  
Time Points ◽  
Single Person ◽  
The Difference ◽  
Multiple Time Points

Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the difference between covariance structures, expressed by covariance matrices, that evolve between persons and within a single person over multiple time points. If these structures are identical at the population level, the structure is called ergodic. However, recent data confirms that ergodicity is not generally given, particularly not for cognitive variables. For example, the g factor that is dominant for cognitive abilities between persons seems to explain far less variance when concentrating on a single person’s data. However, other subdimensions of cognitive abilities seem to appear both between and within persons; that is, there seems to be a lower-dimensional subspace of cognitive abilities in which cognitive abilities are in fact ergodic. In this article, we present ergodic subspace analysis (ESA), a mathematical method to identify, for a given set of variables, which subspace is most important within persons, which is most important between person, and which is ergodic. Similar to the common spatial patterns method, the ESA method first whitens a joint distribution from both the between and the within variance structure and then performs a principle component analysis (PCA) on the between distribution, which then automatically acts as an inverse PCA on the within distribution. The difference of the eigenvalues allows a separation of the rotated dimensions into the three subspaces corresponding to within, between, and ergodic substructures. We apply the method to simulated data and to data from the COGITO study to exemplify its usage.

scholarly journals Inequalities in Trends in Healthy and Disability-Free Life Expectancies: A Systematic Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 640-640
Author(s):  
Gemma Spiers ◽  
Fiona Beyer ◽  
Dawn Craig ◽  
Barbara Hanratty ◽  
Carol Jagger
Keyword(s):  
Life Expectancy ◽  
Multiple Time ◽  
Educational Inequalities ◽  
Active Life Expectancy ◽  
Cross Sectional ◽  
Healthy Life ◽  
Active Life ◽  
Disability Free Life Expectancy ◽  
Multiple Time Points ◽  
The Uk

Abstract To update previous reviews, we searched Medline, Embase, Scopus and the Office for National Statistics (ONS) website for studies and reports published after 2016 that describe trends in healthy life expectancy, active life expectancy or disability-free life expectancy (DFLE) in the UK and other OECD high-income countries. We focus here on studies reporting inequalities by socioeconomic position (SEP) in these trends. There was mixed evidence of educational and area-level deprivation inequalities in trends in DFLE, with four studies indicating that educational inequalities were widening in European countries. No studies were identified that examined inequalities in disability-free life expectancy trends in the UK. All studies were based on cross-sectional data from multiple time points or longitudinal panel studies. We discuss the size of inequalities in DFLE between SEP groups and the limitations of previous studies.

Bereavement or Breakup: A Network Approach to Modeling Differential Pathways into Depression

2019 ◽  
Author(s):  
Julian Burger ◽  
Margaret S. Stroebe ◽  
Pasqualina Perrig-Chiello ◽  
Henk A.W. Schut ◽  
Stefanie Spahni ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Graphical Models ◽  
Contextual Factors ◽  
Marital Disruption ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Multiple Time ◽  
Cross Sectional ◽  
Network Analyses ◽  
Within Subjects

Background: Prior network analyses demonstrated that the death of a loved one potentially precedes specific depression symptoms, primarily loneliness, which in turn links to other depressive symptoms. In this study, we extend prior research by comparing depression symptom network structures following two types of marital disruption: bereavement versus separation. Methods: We fitted two Gaussian Graphical Models to cross-sectional data from a Swiss survey of older persons (145 bereaved, 217 separated, and 362 married controls), and compared symptom levels across bereaved and separated individuals. Results: Separated compared to widowed individuals were more likely to perceive an unfriendly environment and oneself as a failure. Both types of marital disruption were linked primarily to loneliness, from where different relations emerged to other depressive symptoms. Amongst others, loneliness had a stronger connection to perceiving oneself as a failure in separated compared to widowed individuals. Conversely, loneliness had a stronger connection to getting going in widowed individuals. Limitations: Analyses are based on cross-sectional between-subjects data, and conclusions regarding dynamic processes on the within-subjects level remain putative. Further, some of the estimated parameters in the network exhibited overlapping confidence intervals and their order needs to be interpreted with care. Replications should thus aim for studies with multiple time points and larger samples. Conclusions: The findings of this study add to a growing body of literature indicating that depressive symptom patterns depend on contextual factors. If replicated on the within-subjects level, such findings have implications for setting up patient-tailored treatment approaches in dependence of contextual factors.

scholarly journals Physical activity levels among ovarian cancer survivors: a prospective longitudinal cohort study

2021 ◽  
pp. ijgc-2020-002107
Author(s):  
Tamara Jones ◽  
Carolina Sandler ◽  
Dimitrios Vagenas ◽  
Monika Janda ◽  
Andreas Obermair ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ovarian Cancer ◽  
Stage Iv ◽  
Multiple Time ◽  
Activity Levels ◽  
Prospective Longitudinal Study ◽  
Physical Activity Advice ◽  
Physical Activity Levels ◽  
Multiple Time Points ◽  
Prospective Longitudinal

ObjectivePhysical activity following cancer diagnosis is associated with improved outcomes, including potential survival benefits, yet physical activity levels among common cancer types tend to decrease following diagnosis and remain low. Physical activity levels following diagnosis of less common cancers, such as ovarian cancer, are less known. The objectives of this study were to describe physical activity levels and to explore characteristics associated with physical activity levels in women with ovarian cancer from pre-diagnosis to 2 years post-diagnosis.MethodsAs part of a prospective longitudinal study, physical activity levels of women with ovarian cancer were assessed at multiple time points between pre-diagnosis and 2 years post-diagnosis. Physical activity levels and change in physical activity were described using metabolic equivalent task hours and minutes per week, and categorically (sedentary, insufficiently, or sufficiently active). Generalized Estimating Equations were used to explore whether participant characteristics were related to physical activity levels.ResultsA total of 110 women with ovarian cancer with a median age of 62 years (range 33–88) at diagnosis were included. 53–57% of the women were sufficiently active post-diagnosis, although average physical activity levels for the cohort were below recommended levels throughout the 2-year follow-up period (120–142.5min/week). A decrease or no change in post-diagnosis physical activity was reported by 44–60% of women compared with pre-diagnosis physical activity levels. Women diagnosed with stage IV disease, those earning a lower income, those receiving chemotherapy, and those currently smoking or working were more likely to report lower physical activity levels and had increased odds of being insufficiently active or sedentary.ConclusionsInterventions providing patients with appropriate physical activity advice and support for behavior change could potentially improve physical activity levels and health outcomes.

scholarly journals The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Eileen M. Boyle ◽  
Shayu Deshpande ◽  
Ruslana Tytarenko ◽  
Cody Ashby ◽  
Yan Wang ◽  
...  
Keyword(s):  
Tumour Suppressor Genes ◽  
Multiple Time ◽  
Clonal Structure ◽  
Time To Progression ◽  
Novel Mutations ◽  
Evolutionary Patterns ◽  
Risk Of Progression ◽  
Multiple Time Points ◽  
Smoldering Myeloma ◽  
Copy Number Changes

AbstractSmoldering myeloma (SMM) is associated with a high-risk of progression to myeloma (MM). We report the results of a study of 82 patients with both targeted sequencing that included a capture of the immunoglobulin and MYC regions. By comparing these results to newly diagnosed myeloma (MM) we show fewer NRAS and FAM46C mutations together with fewer adverse translocations, del(1p), del(14q), del(16q), and del(17p) in SMM consistent with their role as drivers of the transition to MM. KRAS mutations are associated with a shorter time to progression (HR 3.5 (1.5–8.1), p = 0.001). In an analysis of change in clonal structure over time we studied 53 samples from nine patients at multiple time points. Branching evolutionary patterns, novel mutations, biallelic hits in crucial tumour suppressor genes, and segmental copy number changes are key mechanisms underlying the transition to MM, which can precede progression and be used to guide early intervention strategies.

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