Translational Psychiatry, Journal Year: 2024, Volume and Issue: 14(1)
Published: Sept. 9, 2024
Language: Английский
Cell Reports Physical Science, Journal Year: 2025, Volume and Issue: unknown, P. 102510 - 102510
Published: March 1, 2025
Citations
0
Frontiers in Human Neuroscience, Journal Year: 2025, Volume and Issue: 19
Published: April 16, 2025
Voxel hierarchy on dynamic brain graphs is produced by k-core percolation functional amplitude correlation of resting-state fMRI. Directed and their afferent/efferent capacities are Markov modeling the universal cover undirected simultaneously with calculation volume entropy. Using these methods, state stationarity was tested for positive unsigned negative separately sliding-window representation. The spatiotemporal progress voxels visualized quantified. voxel revealed abrupt changes in coreness k (k-core) maximum (kmaxcore) animation maps representing transitions interspersed among succession. Afferent transient modules composed dominant independent components as well exchanges compatible transitions. Moreover, this afferent capacity corroborated each other only directed connectivity but not graphs. Spatiotemporal progression constructed a information flow entropy graph methods. We disclosed non-stationarity its temporal pattern at rest, accompanied diverse fMRI normal human subjects.
Language: Английский
Citations
0
eLife, Journal Year: 2025, Volume and Issue: 14
Published: April 17, 2025
Moment-to-moment neural variability has been shown to scale positively with the complexity of stimulus input. However, mechanisms underlying ability align input are unknown. Using a combination behavioral methods, computational modeling, fMRI, MR spectroscopy, and pharmacological intervention, we investigated role aging GABA in during visual processing. We replicated previous findings that participants expressed higher when viewing more complex stimuli. Additionally, found such modulation was associated baseline levels reduced older adults. When pharmacologically increasing activity, lower showed drug-related increase while no change or even reduction, consistent an inverted-U account. Finally, were jointly better visual-discrimination performance. These results suggest plays important how humans utilize adapt world.
Language: Английский
Citations
0
Brain Communications, Journal Year: 2022, Volume and Issue: 4(1)
Published: Jan. 3, 2022
Traditional static functional connectivity analyses have shown distinct network alterations in patients with anti-
Language: Английский
Citations
16
NeuroImage Clinical, Journal Year: 2022, Volume and Issue: 36, P. 103203 - 103203
Published: Jan. 1, 2022
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system associated with deficits in cognitive and motor functioning. While structural brain changes such as demyelination are early hallmark disease, a characteristic profile functional alterations MS lacking. Functional neuroimaging studies at various stages have revealed complex heterogeneous patterns aberrant connectivity (FC) MS, previous largely being limited to static account FC. Thus, it remains unclear how time-resolved FC relates variance clinical disability status MS. We here aimed characterize network organization patients analysis explore relationship between status, multi-domain outcomes altered dynamics. Resting-state MRI (rs-fMRI) data were acquired from 101 age- sex-matched healthy controls (HC). Based on Expanded Disability Status Score (EDSS), split into two sub-groups: without (EDSS≤1, n = 36) mild moderate levels (EDSS≥2, 39). Five dynamic states extracted whole-brain rs-fMRI data. Group differences strength, across-state overall connectivity, dwell time, transition frequency, modularity, global assessed. Patients' impairment was quantified custom outcome z-scores (higher: worse) for domains depressive symptoms, fatigue, motor, vision, cognition, total atrophy, lesion load. Correlation analyses measures performed Spearman partial correlation controlling age. Patients exhibited more widespread spatiotemporal pattern spent time high-connectivity, low-occurrence state compared HCs. Worse symptoms all positively EDSS scores. Furthermore, symptom severity related dynamics measured by state-specific DMN attention networks, while fatigue reduced frontoparietal basal ganglia. Despite comparably low we identified distinct those disability, these sensitive multiple domains. uncovered correlations that remained undetected conventional analyses, showing accounting temporal helps disentangle alterations,
Language: Английский
Citations
16
Brain Communications, Journal Year: 2023, Volume and Issue: 5(3)
Published: Jan. 1, 2023
Patients with multiple sclerosis consistently show widespread changes in functional connectivity. Yet, alterations are heterogeneous across studies, underscoring the complexity of reorganization sclerosis. Here, we aim to provide new insights by applying a time-resolved graph-analytical framework identify clinically relevant pattern dynamic connectivity reconfigurations Resting-state data from 75 patients (N = 75, female:male ratio 3:2, median age: 42.0 ± 11.0 years, disease duration: 6 11.4 years) and age- sex-matched controls 40.2 11.8 were analysed using multilayer community detection. Local, resting-state system global levels reconfiguration characterized graph-theoretical measures including flexibility, promiscuity, cohesion, disjointedness entropy. Moreover, quantified hypo- hyper-flexibility brain regions derived flexibility index as summary measure whole-brain reorganization. Lastly, explored relationship between clinical disability altered dynamics. Significant increases (t 2.38, PFDR 0.024), promiscuity 1.94, 0.038), entropy 2.17, 0.027) cohesion 2.45, 0.024) observed driven pericentral, limbic subcortical regions. Importantly, these graph metrics correlated such that greater dynamics tracked disability. demonstrate systematic shift sensorimotor areas transmodal areas, most pronounced located generally low controls. Together, findings reveal hyperflexible activity clusters areas. This was linked disability, providing evidence temporal play role manifestation
Language: Английский
Citations
7
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
2
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 189, P. 115699 - 115699
Published: Nov. 1, 2024
Language: Английский
Citations
2
Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(24), P. 11594 - 11608
Published: Oct. 17, 2023
Abstract Long-range dependence is a prevalent phenomenon in various biological systems that characterizes the long-memory effect of temporal fluctuations. While recent research suggests functional magnetic resonance imaging signal has fractal property, it remains unknown about multifractal long-range pattern resting-state signals. The current study adopted detrended fluctuation analysis on highly sampled scans to investigate profile associated with whole-brain voxels as specific networks. Our findings revealed dependence’s properties. Moreover, long-term persistent fluctuations are found for all stations stronger persistency regions. Subsets large contribute more spectrum whole brain. Additionally, we preprocessing band-pass filtering provided significantly higher reliability estimating dependence. validation confirmed optimal pipeline should include and removal daily Furthermore, characteristics healthy control schizophrenia different significantly. This work an analytical signal. suggest differential effects intrinsic networks, which may offer neural marker finding understanding brain function pathology.
Language: Английский
Citations
5
Human Brain Mapping, Journal Year: 2023, Volume and Issue: 44(9), P. 3926 - 3938
Published: April 22, 2023
Abstract Based on the fluctuations ensembled over neighbouring neurons, blood oxygen level‐dependent (BOLD) signal is a mesoscale measurement of brain signals. Intraregional temporal features (IRTFs) BOLD signal, extracted from regional neural activities, are utilized to investigate how functions in local areas. This literature highlights four types IRTFs and their representative calculations including variability domain, frequency entropy, intrinsic timescales, which tightly related cognitions. In brain‐wide spatial organization, these generally organized into two hierarchies, reflecting structural constraints dynamics hierarchical functional processing workflow brain. Meanwhile, organization gives rise link between neuronal properties cognitive performance. Disrupted or unbalanced conditions emerge with suboptimal states, improved our understanding aging process and/or neuropathology disease. review concludes that important system should be considered manner.
Language: Английский
Citations
4