Functional gradients reveal cortical hierarchy changes in multiple sclerosis

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(6)

Published: April 15, 2024

Abstract Functional gradient (FG) analysis represents an increasingly popular methodological perspective for investigating brain hierarchical organization but whether and how network hierarchy changes concomitant with functional connectivity alterations in multiple sclerosis (MS) has remained elusive. Here, we analyzed FG components to uncover possible cortical using resting‐state MRI (rs‐fMRI) data acquired 122 MS patients 97 healthy control (HC) subjects. Cortical was assessed by deriving regional scores from rs‐fMRI matrices a parcellation of the cerebral cortex. The identified primary (visual‐to‐sensorimotor) secondary (sensory‐to‐transmodal) component. Results showed significant alteration as indexed within sensorimotor compression (i.e., reduced standard deviation across all parcels) sensory‐transmodal axis, suggesting disrupted segregation between sensory cognitive processing. Moreover, limbic default mode networks were significantly correlated (, p < .005 after Bonferroni correction both) symbol digit modality test (SDMT) score, measure information processing speed commonly used neuropsychological assessments. Finally, leveraging supervised machine learning, tested predictive value network‐level features, highlighting prominent role accurate prediction SDMT (average mean absolute error 1.22 ± 0.07 points on hold‐out set 24 patients). Our work provides comprehensive evaluation MS, shedding light that can be regarded valuable approach studies different populations.

Language: Английский

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Test–retest reliability and predictive utility of a macroscale principal functional connectivity gradient

Human Brain Mapping, Journal Year: 2023, Volume and Issue: 44(18), P. 6399 - 6417

Published: Oct. 18, 2023

Abstract Mapping individual differences in brain function has been hampered by poor reliability as well limited interpretability. Leveraging patterns of brain‐wide functional connectivity (FC) offers some promise this endeavor. In particular, a macroscale principal FC gradient that recapitulates hierarchical organization spanning molecular, cellular, and circuit level features along sensory‐to‐association cortical axis emerged both parsimonious interpretable measure behavior. However, the measurement reliabilities have not fully evaluated. Here, we assess global regional measures using test–retest data from young adult Human Connectome Project (HCP‐YA) Dunedin Study. Analyses revealed were (1) consistently higher than those for traditional edge‐wise measures, (2) derived general (GFC) comparison with resting‐state FC, (3) longer scan lengths. We additionally examined relative utility these predicting cognition aging datasets HCP‐aging dataset. These analyses range significantly associated all three datasets, moderately HCP‐YA Study reflecting contractions expansions hierarchy, respectively. Collectively, results demonstrate gradient, especially GFC, effectively capture reliable feature human subject to biologically meaningful variation, offering advantages over search brain–behavior associations.

Language: Английский

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Sex differences in functional cortical organization reflect differences in network topology rather than cortical morphometry

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

Published: Sept. 4, 2024

Language: Английский

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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 22, 2025

Language: Английский

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Functional differentiation of the default and frontoparietal control networks predicts individual differences in creative achievement: evidence from macroscale cortical gradients

Cerebral Cortex, Journal Year: 2025, Volume and Issue: 35(3)

Published: March 1, 2025

Abstract Much of the research on neural correlates creativity has emphasized creative cognition, and growing evidence suggests that is related to functional properties default frontoparietal control networks. The present work expands this body by testing associations achievement with connectivity profiles brain networks assessed using macroscale cortical gradients. Using resting-state magnetic resonance imaging in 2 community samples (N’s = 236 234), we found positively associated greater dissimilarity between core regions These results suggest supported ability these carry out distinct cognitive roles. This provides further evidence, a gradient approach, individual differences can be predicted from involved higher-order it aligns past task performance.

Language: Английский

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Importance of Reliability and Validity in Research

Psychology and Behavioral Sciences, Journal Year: 2024, Volume and Issue: 13(6), P. 137 - 141

Published: Nov. 12, 2024

The goal developing a new research tool is to ensure that the measurement has high level of external validity be generalizable and have broader reach also highly reliable able consistently gather same result. Researchers need determine reliability each assessment they are not misleading their readers data can trusted based on statistical evidence support conclusions. Reliability ability consistency results over multiple tests. This process calculated by determining various measurements such as test-retest reliability, parallel-form split-half calculating correlation coefficient or t-test. Validity extent in which test will measure what said test, established looking measuring face validity, content criterion-related construct validity. using experts if clear relevant index. If statistically established, increase impact generalizability established.

Language: Английский

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Exploring sex-specific neuroendocrine influences on the sensorimotor-association axis in single individuals

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

Published: May 5, 2024

Human neuroimaging studies consistently show multimodal patterns of variability along a key principle macroscale cortical organization - the sensorimotor-association (S-A) axis. However, little is known about day-to-day fluctuations in functional activity this axis within an individual, including sex-specific neuroendocrine factors contributing to such transient changes. We leveraged data from two densely sampled healthy young adults, one female and male, investigate intra-individual daily S-A axis, which we computed as our measure by reducing dimensionality connectivity matrices. Daily was greatest temporal limbic ventral prefrontal regions both participants, more strongly pronounced male subject. Next, probed local- system-level effects steroid hormones self-reported perceived stress on organization. Our findings revealed modest that differed between hinting at subtle -potentially sex-specific- associations In sum, study points possible modulators brain organization, highlighting need for further research larger samples.

Language: Английский

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Improving Predictability, Test-Retest Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking

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

Published: May 5, 2024

Brain-wide association studies (BWASs) have attempted to relate cognitive abilities with brain phenotypes, but been challenged by issues such as predictability, test-retest reliability, and cross-cohort generalisability. To tackle these challenges, we proposed a machine-learning "stacking" approach that draws information from whole-brain magnetic resonance imaging (MRI) across different modalities, task-fMRI contrasts functional connectivity during tasks rest structural measures, into one prediction model. We benchmarked the benefits of stacking, using Human Connectome Projects: Young Adults (n=873, 22-35 years old) Projects-Aging (n=504, 35-100 Dunedin Multidisciplinary Health Development Study (Dunedin Study, n=754, 45 old). For stacked models led out-of-sample r ∼.5-.6 when predicting at time scanning, primarily driven contrasts. Notably, were able predict participants' ages 7, 9, 11 their multimodal MRI age 45, an 0.52. reached excellent level reliability (ICC>.75), even only together. generalisability, model non-task built dataset significantly predicted in other datasets. Altogether, stacking is viable undertake three challenges BWAS for abilities. Scientists had limited success MRI. machine learning method, called draw types Using large databases (n=2,131, 22-100 old), found make 1) closer actual scores applied new individual, not part modelling process, 2) reliable over times 3) applicable data collected groups scanners. Indeed, especially fMRI task contrasts, allowed us use people aged childhood reasonably well. Accordingly, may help realise its potential

Language: Английский

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Voxel-based texture similarity networks reveal individual variability and correlate with biological ontologies

NeuroImage, Journal Year: 2024, Volume and Issue: 297, P. 120688 - 120688

Published: June 13, 2024

The human brain is organized as a complex, hierarchical network. However, the structural covariance patterns among regions and underlying biological substrates of such networks remain to be clarified. present study proposed novel individualized network termed voxel-based texture similarity (vTSNs) based on 76 refined textural features derived from magnetic resonance images. Validated in three independent longitudinal healthy cohorts (40, 23, 60 participants, respectively) with two common atlases, we found that vTSN could robustly resolve inter-subject variability high test-retest reliability. In contrast regional-based (rTSNs) calculate radiomic region-of-interest information, vTSNs had higher inter- intra-subject ratios reliability connectivity strength topological properties. Moreover, Spearman correlation indicated stronger association gene expression (GESN) than rTSNs (vTSN: r = 0.600, rTSN: 0.433, z 39.784, P < 0.001). Hierarchical clustering identified 3 subnets differential 13 coexpression modules, 16 neurotransmitters, 7 electrophysiology, 4 metabolism, 2 large-scale functional organization maps. these unique subcortex-limbic system ventral neocortex then dorsal neocortex. Based 424 unrelated, qualified subjects Human Connectome Project, sensitively represent sex differences, especially for connections between multivariate variance component model revealed explain significant proportion behavioral cognition (80.0 %) motor functions (63.4 %). Finally, using 494 adults (aged 19-80 years old) Southwest University Adult Lifespan Dataset, aging strength, within summary, our robust uncovering individual neurobiological processes, which can serve biologically plausible measures linking processes behavior.

Language: Английский

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Functional differentiation of the default and frontoparietal control networks predicts individual differences in creative achievement: Evidence from macroscale cortical gradients

Published: Aug. 21, 2024

Much of the research on neural correlates creativity has emphasized creative cognition, and growing evidence suggests that is related to functional properties default frontoparietal control networks. The present work expands this body by testing associations achievement with connectivity profiles brain networks assessed using macroscale cortical gradients. Using resting-state fMRI in two community samples (N’s = 236 &amp; 234), we found positively associated greater dissimilarity between core regions These results suggest supported ability these carry out more distinct cognitive roles. This provides further evidence, a gradient approach, individual differences can be predicted from involved higher-order aligns past task performance.

Language: Английский

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