Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 4, 2024

Abstract Functional interactions between brain regions can be viewed as a network, enabling neuroscientists to investigate function through network science. Here, we systematically evaluate 768 data-processing pipelines for reconstruction from resting-state functional MRI, evaluating the effect of parcellation, connectivity definition, and global signal regression. Our criteria seek that minimise motion confounds spurious test-retest discrepancies topology, while being sensitive both inter-subject differences experimental effects interest. We reveal vast systematic variability across pipelines’ suitability connectomics. Inappropriate choice pipeline produce results are not only misleading, but so, with majority failing at least one criterion. However, set optimal consistently satisfy all different datasets, spanning minutes, weeks, months. provide full breakdown each pipeline’s performance inform future best practices in

Language: Английский

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Conscientiousness associated with efficiency of the salience/ventral attention network: Replication in three samples using individualized parcellation

NeuroImage, Journal Year: 2023, Volume and Issue: 272, P. 120081 - 120081

Published: April 1, 2023

Conscientiousness, and related constructs impulsivity self-control, have been to structural functional properties of regions in the prefrontal cortex (PFC) anterior insula. Network-based conceptions brain function suggest that these belong a single large-scale network, labeled salience/ventral attention network (SVAN). The current study tested associations between conscientiousness resting-state connectivity this using two community samples (N's = 244 239) data from Human Connectome Project (N 1000). Individualized parcellation was used improve localization accuracy facilitate replication. Functional measured an index efficiency, graph theoretical measure quantifying capacity for parallel information transfer within network. Efficiency set parcels SVAN significantly associated with all samples. Findings are consistent theory as variation neural networks underlying effective prioritization goals.

Language: Английский

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Age-related reorganization of functional network architecture in semantic cognition

Cerebral Cortex, Journal Year: 2022, Volume and Issue: 33(8), P. 4886 - 4903

Published: Oct. 3, 2022

Cognitive aging is associated with widespread neural reorganization processes in the human brain. However, behavioral impact of such not well understood. The current neuroimaging study investigated age differences functional network architecture during semantic word retrieval young and older adults. Combining task-based connectivity, graph theory cognitive measures fluid crystallized intelligence, our findings show age-accompanied large-scale even when adults have intact abilities. In particular, networks were characterized by reduced decoupling between systems, segregation efficiency, a larger number hub regions relative to Exploring predictive utility these age-related changes topology revealed high, albeit less efficient, performance for whose brain graphs showed stronger dedifferentiation distinctiveness. Our results extend theoretical accounts on neurocognitive revealing compensational potential commonly reported pattern can rely their prior knowledge successful task processing. we also demonstrate limitations compensatory that youth-like terms balanced integration more economical

Language: Английский

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Modeling the neurocognitive dynamics of language across the lifespan

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(5)

Published: March 29, 2024

Abstract Healthy aging is associated with a heterogeneous decline across cognitive functions, typically observed between language comprehension and production (LP). Examining resting‐state fMRI neuropsychological data from 628 healthy adults (age 18–88) the CamCAN cohort, we performed state‐of‐the‐art graph theoretical analysis to uncover neural mechanisms underlying this variability. At level, our findings suggest that LP not an isolated function but modulated throughout lifespan by extent of inter‐cognitive synergy semantic domain‐general processes. cerebral show default mode network (DMN) suppression coupled fronto‐parietal (FPN) integration way for brain compensate effects dedifferentiation at minimal cost, efficiently mitigating age‐related in LP. Relatedly, reduced DMN midlife could compromise ability manage cost FPN integration. This may prompt older adopt more cost‐efficient compensatory strategy maintains global homeostasis expense performances. Taken together, propose represents critical neurocognitive juncture signifies onset decline, as gradually lose control over representations. We summarize novel synergistic, economical, nonlinear, emergent, model, integrating connectomic dimensions within complex system perspective.

Language: Английский

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Network topology and cannabis use following two weeks of monitored abstinence: moderation of sex and patterns of use findings

Frontiers in Adolescent Medicine, Journal Year: 2025, Volume and Issue: 3

Published: March 26, 2025

Background Chronic cannabis use (CU) can result in subtle deficits cognitive performance that may be linked with alterations underlying neural functioning. However, these network are not well-characterized following monitored abstinence. Here, we evaluate differences functional brain activity associated CU patterns adolescents/young adults. Methods Functional connectomes were generated using resting-state fMRI data collected from 83 healthy young adults (44 male) two weeks of Network topology metrics calculated for each the 7 Yeo 2011 intrinsic connectivity networks (ICNs) and on whole-brain level. Multiple linear regressions used to whether (regular-users, n = 35 vs. non-using controls, 40) was metric after controlling past-year alcohol use, age, sex, cotinine levels; moderation by sex also investigated. Regressions run within group test associations between (lifetime CU, age initiation, CU) topology. Finally, a network-based statistic (NBS) approach search connectome subcomponents group, CU*sex, CU. Results No significant association groups ICN observed. Sex observed; male users, higher significantly frontoparietal ventral attention (VAN) efficiency. Within female lower Default Mode assortativity. individuals who initiated before 17, males had assortativity VAN Somatomotor network. NBS analyses indicated strength primarily right-lateralized subnetwork distributed throughout reliably CU). Conclusion The present findings suggest persist an extended period abstinence adults, particularly males, especially those heavier earlier life. While further replication is required larger samples, potential neuroimaging correlates long-term changes

Language: Английский

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Investigating robust associations between functional connectivity based on graph theory and general intelligence

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 16, 2024

Abstract Previous research investigating relations between general intelligence and graph-theoretical properties of the brain’s intrinsic functional network has yielded contradictory results. A promising approach to tackle such mixed findings is multi-center analysis. For this study, we analyzed data from four independent sets (total N > 2000) identify robust associations amongst samples g factor scores global as well node-specific graph metrics. On level, showed no significant with efficiency or small-world propensity in any sample, but positive clustering coefficient two samples. elastic-net regressions for nodal local brain areas that exhibited consistent sets. Using identified via regression one sample predict other was not successful only led significant, one-way prediction across efficiency. Thus, using conventional theoretical measures based on resting-state imaging did result replicable connectivity intelligence.

Language: Английский

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Benchmarking functional connectivity by the structure and geometry of the human brain

Network Neuroscience, Journal Year: 2022, Volume and Issue: 6(4), P. 937 - 949

Published: Jan. 1, 2022

Abstract The brain’s structural connectivity supports the propagation of electrical impulses, manifesting as patterns coactivation, termed functional connectivity. Functional emerges from underlying sparse connections, particularly through polysynaptic communication. As a result, connections between brain regions without direct links are numerous, but their organization is not completely understood. Here we investigate links. We develop simple, data-driven method to benchmark with respect and geometric embedding. then use this reweigh reexpress find evidence unexpectedly strong among distal within default mode network. also at apex unimodal-transmodal hierarchy. Our results suggest that both phenomena—functional modules hierarchies—emerge interactions transcend structure geometry. These findings potentially explain recent reports gradually diverge in transmodal cortex. Collectively, show how geometry can be used natural frame reference which study brain.

Language: Английский

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Individual Variability of Human Cortical Spontaneous Activity by 3T/7T fMRI

Neuroscience, Journal Year: 2023, Volume and Issue: 528, P. 117 - 128

Published: Aug. 6, 2023

Language: Английский

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Human Brain Mapping of Homotopic Functional Affinity

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

Abstract Spatially corresponding areas in the left and right hemispheres of human brain, also known as homotopic brain regions, often exhibit functional similarities, i.e., homotopy. To understand principles mechanisms homotopy psychological behavior, this paper proposes a method for studying brain: affinity. This quantifies affinity regions by calculating cosine distance whole-brain connectivity patterns regions. Using MRI database from Human Connectome Project United States China, we first mapped atlas with “700 milliseconds - 2 millimeters” spatiotemporal precision, assessing its test-retest reliability individual differences. Subsequently, located three specific temporo-parietal junction through systematic analysis atlas, discovering their hemispheric lateralization revealing associations attention, language, social cognition. Lastly, multimodal correlation calculations, further explored genetics, evolution, structural, organizational distribution. In summary, our proposed provides reliable valid measurement population neuroscience research.

Language: Английский

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Human brain mapping of homotopic functional affinity

Chinese Science Bulletin (Chinese Version), Journal Year: 2024, Volume and Issue: 69(24), P. 3651 - 3665

Published: Jan. 19, 2024

Spatially corresponding areas in the left and right hemispheres of human brain, also known as homotopic brain regions, often exhibit functional similarities, i.e., homotopy.To understand principles mechanisms homotopy psychological behavior, this paper proposes a method for studying brain: affinity.This quantifies affinity regions by calculating cosine distance whole-brain connectivity patterns regions.Using MRI database from Human Connectome Project United States China, we first mapped atlas with "700 milliseconds -2 millimeters" spatiotemporal precision, assessing its test-retest reliability individual differences.Subsequently, located three specific temporo-parietal junction through systematic analysis atlas, discovering their hemispheric lateralization revealing associations attention, language, social cognition.Lastly, multimodal correlation calculations, further explored genetics, evolution, structural, organizational distribution.In summary, our proposed provides reliable valid measurement population neuroscience research.

Language: Английский

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