Published: Aug. 20, 2021
Language: Английский
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 25, 2025
Functional magnetic resonance imaging (fMRI) in awake infants has the potential to reveal how early developing brain gives rise cognition and behavior. However, infant fMRI poses significant methodological challenges that have hampered wider adoption. The present work takes stock after collection of a substantial amount data across multiple studies from two labs at different institutions. We leveraged these glean insights on participant recruitment, experimental design, acquisition could be useful consider for future studies. Across 766 sessions, we explored factors influenced much usable were obtained per session (average 9 minutes). age an predicted whether they would successfully enter scanner (younger was more likely) and, if did enter, number minutes functional retained preprocessing. also by assigned sex (female more), paradigm (movies better than blocks events), stimulus content (social abstract). In addition, assessed value attempting collect experiments session, approach yielded one experiment averaging all sessions (including those with no data). Although any given scan is unpredictable, findings support feasibility suggest practices optimize research.
Language: Английский
Citations
1
Imaging Neuroscience, Journal Year: 2024, Volume and Issue: 2, P. 1 - 26
Published: Jan. 1, 2024
Abstract Functional neuroimaging is an essential tool for neuroscience research. Pre-processing pipelines produce standardized, minimally pre-processed data to support a range of potential analyses. However, post-processing not similarly standardized. While several options exist, they may output from different pre-processing pipelines, have limited documentation, and follow generally accepted organization standards (e.g., Brain Imaging Data Structure (BIDS)). In response, we present XCP-D: collaborative effort between PennLINC at the University Pennsylvania DCAN lab Minnesota. XCP-D uses open development model on GitHub incorporates continuous integration testing; it distributed as Docker container or Apptainer image. generates denoised BOLD images functional derivatives resting-state in either NIfTI CIFTI files following with fMRIPrep, HCP, ABCD-BIDS pipelines. Even prior its official release, has been downloaded >5,000 times DockerHub. Together, facilitates robust, scalable, reproducible fMRI data.
Language: Английский
Citations
8
NeuroImage, Journal Year: 2022, Volume and Issue: 260, P. 119434 - 119434
Published: July 2, 2022
Classic psychedelics, such as psilocybin and LSD, other serotonin 2A receptor (5-HT2AR) agonists evoke acute alterations in perception cognition. Altered thalamocortical connectivity has been hypothesized to underlie these effects, which is supported by some functional MRI (fMRI) studies. These studies have treated the thalamus a unitary structure, despite known differential 5-HT2AR expression specificity of different intrathalamic nuclei. Independent Component Analysis (ICA) previously used identify reliable group-level subdivisions from resting-state fMRI (rsfMRI) data. We build on efforts with novel data-maximizing ICA-based approach examine psilocybin-induced changes organization individual participants.Baseline rsfMRI data (n=38) healthy individuals long-term meditation practice was utilized generate statistical template thalamic subdivisions. This then applied analysis effects intra- extra-thalamic follow-up scans subset same (n=18). examined correlations subjective reports drug effect compared reported analytic (treating single unit).Several components showed significant spatial organization, largely localized mediodorsal pulvinar The magnitude participants correlated effects. demonstrated predominant decreases connectivity, visual default mode networks. singular structure an overall numerical increase consistent previous literature using this approach, but did not reach significance.We discover nuclei cortical networks express 5-HT2AR. were observed whole-thalamus analyses, suggesting that may cause widespread modest increases are offset strong focal functionally relevant
Language: Английский
Citations
19
Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(4)
Published: March 1, 2025
Movie-watching fMRI has emerged as a theoretically viable platform for studying neurobiological substrates of affective states and emotional disorders such pathological anxiety. However, using anxiety-inducing movie clips to probe relevant impacted by psychopathology could risk exacerbating in-scanner movement, decreasing signal quality/quantity thus statistical power. This be especially problematic in target populations children who typically move more the scanner. Consequently, we assessed: (1) extent which an clip altered data quality (movement, censoring, DVARS) pediatric sample with without anxiety (n = 78); (2) investigated interactions between symptoms movie-attenuated motion highly powered, transdiagnostic 2058). Our results suggest anxiogenic movie-watching fact reduces movement compared resting-state, increasing quantity/quality data. In one measure, appeared impact motion, but effect was small. Given potential boosts quality, future developmental neuroimaging studies may benefit from use paradigms.
Language: Английский
Citations
0
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: March 12, 2025
Violence is a major risk factor for depression across development. Depression quickly worsens during early adolescence, however, and especially among females, who experience worse following threats than males. This may be because they perceive future as less controllable. Evidence suggests that features of the salience network serve particularly critical mechanisms explaining sex differences on in response to threat, those with depressive disorders have more expansive networks controls, threatening experiences result brain utilizing tissue fear generation rodent models. Using longitudinal sample 220 adolescents ages 14-18 from Chicago area, we test if expansion connectivity explain differential impact violence sexes. We found association between was greater females males (𝛽̂3(2)=0.337, 𝑝=0.025), such there positive but not Contrary our hypotheses, (𝛽̂1(5)=0.242, 𝑝=0.039), (𝛽̂1(6)=0.238, 𝑝=0.030). Both these effects remained after controlling two years prior, indicating exposures males' through likely occur middle adolescence. Through identifying types exposures, their relevant developmental timing, connecting depression, this work helps inform interventions prevent onset adversity, thereby reducing lifetime burden depression.
Language: Английский
Citations
0
Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)
Published: March 21, 2025
Head motion during magnetic resonance imaging (MRI) examinations of patients with autism spectrum disorder (ASD) can influence the identification brain differences as well early diagnosis and precise MRI-based interventions for ASD. This study aims to address head issues in resting-state functional MRI (rs-fMRI) data by comparing various correction methods. Specifically, we evaluate independent component analysis-based automatic removal artifacts (ICA-AROMA) against traditional preprocessing pipelines, including realignment parameters global signal regression (GSR). Our dataset consisted 306 participants, 148 individuals ASD 158 participants typical development (TD). We find that ICA-AROMA, particularly when combined GSR physiological noise correction, outperformed other strategies differentiating from TD based on connectivity (FC) analyses. The correlation quality control (QC-FC) is statistically significant proportion distance after applying each denoising pipeline. mean FC between groups Yeo's 17-Network strategy. ICA-AROMA strategies, revealing more networks distinct regions linked posterior cingulate cortex postcentral gyrus. suggests enhances fMRI preprocessing, aiding biomarker development. examines how different methods analyses disorder, showing regression, ability distinguish
Language: Английский
Citations
0
Schizophrenia Research, Journal Year: 2025, Volume and Issue: 278, P. 57 - 64
Published: March 22, 2025
Language: Английский
Citations
0
Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: May 20, 2025
Circadian rhythmicity is a complex phenomenon that influences human behavior, emotionality and brain activity. A detailed description of individual differences in circadian could inform the design educational systems, shift-worker schedules, daily routines. Here we present comprehensive dataset for studying diurnal rhythms their relationship with behavior. Thirty seven male participants (aged 20-30) filled validated psychometric questionnaires assessing characteristics rhythm, sleep quality, emotionality, personality traits, reward-punishment processing attention deficits. Moreover, acquired high-resolution anatomical T1-weighted images using magnetic resonance imaging (MRI), B0 fieldmaps distortion corrections, functional MRI (fMRI) during Monetary Incentive Delay (MID) task, which common paradigm to assess neural reinforcement processing. All files are organized Brain Imaging Data Structure (BIDS) openly available on OpenNeuro.org. Validation confirmed high quality described dataset. The various psychological measures combined neuroimaging data provide strong foundation exploring affective processing, context activity influences.
Language: Английский
Citations
0
NeuroImage, Journal Year: 2023, Volume and Issue: 274, P. 120136 - 120136
Published: April 26, 2023
The Neurovisceral Integration Model posits that shared neural networks support the effective regulation of emotions and heart rate, with rate variability (HRV) serving as an objective, peripheral index prefrontal inhibitory control. Prior neuroimaging studies have predominantly examined both HRV associated functional connectivity at rest, opposed to contexts require active emotion regulation. present study sought extend upon previous resting-state findings, examining task-related corresponding amygdala during a cognitive reappraisal task. Seventy adults (52 older 18 younger adults, 18-84 years, 51% male) received instructions cognitively reappraise negative affective images MRI scanning. measures were derived from finger pulse signal throughout scan. During task, exhibited significant inverse association between amygdala-medial cortex (mPFC) connectivity, in which higher was correlated weaker amygdala-mPFC coupling, whereas displayed slight positive, albeit non-significant correlation. Furthermore, voxelwise whole-brain analyses showed task-based linked right amygdala-posterior cingulate across positively stronger amygdala-right ventrolateral connectivity. Collectively, these findings highlight importance assessing regulatory further identify concomitants adaptive
Language: Английский
Citations
9
Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(10)
Published: July 9, 2024
Abstract Brain activity continuously fluctuates over time, even if the brain is in controlled (e.g., experimentally induced) states. Recent years have seen an increasing interest understanding complexity of these temporal variations, for example with respect to developmental changes function or between‐person differences healthy and clinical populations. However, psychometric reliability signal variability measures—which important precondition robust individual as well longitudinal research—is not yet sufficiently studied. We examined (split‐half correlations) test–retest correlations task‐free (resting‐state) BOLD fMRI split‐half seven functional task data sets from Human Connectome Project evaluate their reliability. observed good excellent measures derived rest activation time series (standard deviation, mean absolute successive difference, squared difference), moderate same under conditions. estimates (several entropy dimensionality measures) showed reliabilities both, calculated also time‐resolved (dynamic) connectivity measures, but poor series. Global (i.e., across cortical regions) tended show higher than region‐specific estimates. Larger subcortical regions similar regions, small lower reliability, especially measures. Lastly, we that scores are only minorly dependent on scan length replicate our results different parcellation denoising strategies. These suggest well‐suited research. Temporal global provides novel approach robustly quantifying dynamics function. Practitioner Points Variability Measures can quantify neural dynamics. Length has a minor effect
Language: Английский
Citations
3