Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome

eLife, Год журнала: 2023, Номер 12

Опубликована: Март 28, 2023

Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance nature of differences between two networks an open problem, such analysis has not been extensively applied nanoscale connectomes. Here, we investigate this problem via a case study on bilateral symmetry larval

Язык: Английский

---

CAMBA framework: Unveiling the brain asymmetry alterations and longitudinal changes after stroke using resting-state EEG

NeuroImage, Год журнала: 2023, Номер 282, С. 120405 - 120405

Опубликована: Окт. 10, 2023

Hemispheric asymmetry or lateralization is a fundamental principle of brain organization. However, it poorly understood to what extent the asymmetries across different levels functional organizations are evident in health altered diseases. Here, we propose framework that integrates three degrees interactions (isolated nodes, node–node, and edge–edge) into unified analysis pipeline capture sliding window-based dynamics at both node hemisphere levels. We apply this resting-state EEG healthy stroke populations investigate stroke-induced abnormal alterations longitudinal changes during poststroke rehabilitation. observe mean patients was abnormally enhanced frequency bands interactions, with these patterns strongly associated side lesion. Compared controls, displayed significant fluctuations, disrupting reconfiguring balance inter-hemispheric integration segregation. Additionally, analyses reveal specific metrics tend move towards those observed controls after short-term brain-computer interface Furthermore, preliminary evidence suggests baseline clinical features can predict improvements Fugl-Meyer assessment lower extremity (mean absolute error about 2). Overall, findings advance our understanding hemispheric asymmetry. Our offers new insights mechanisms underlying recovery lesion, may help identify prognostic biomarkers, be easily extended modalities.

Язык: Английский

---

Altered white matter connectivity of ventral language networks in autism spectrum disorder: An automated fiber quantification analysis with multi-site datasets

NeuroImage, Год журнала: 2024, Номер 297, С. 120731 - 120731

Опубликована: Июль 13, 2024

Comprehension and pragmatic deficits are prevalent in autism spectrum disorder (ASD) potentially linked to altered connectivity the ventral language networks. However, previous magnetic resonance imaging studies have not sufficiently explored microstructural abnormalities fiber tracts underlying comprehension dysfunction ASD. Additionally, precise locations of white matter (WM) changes long patients with ASD remain poorly understood. In current study, we applied automated fiber-tract quantification (AFQ) method investigate fine-grained WM properties pathway their relationships symptom manifestation The analysis included diffusion/T1 weighted data 83 individuals age-matched typically developing (TD) controls. Case-control comparisons were performed on diffusion metrics at both global point-wise levels. We also correlations between metrics, performance, traits, conducted subgroup analyses based age range examine developmental moderating effects. Individuals exhibited remarkable hypoconnectivity tracts, particularly temporal portions left inferior longitudinal fasciculus (ILF) fronto-occipital (IFOF). These associated poor more severe symptoms. Furthermore, alterations tract correlation prominent younger children than adolescents. findings indicate that disruptions ILF/IFOF most notable ASD, constituting core neurological underpinnings communication autism. Moreover, impaired ability appear improve age.

Язык: Английский

---

Neonatal cortical activity organizes into transient network states that are affected by vigilance states and brain injury

NeuroImage, Год журнала: 2023, Номер 279, С. 120342 - 120342

Опубликована: Авг. 22, 2023

Early neurodevelopment is critically dependent on the structure and dynamics of spontaneous neuronal activity; however, natural organization newborn cortical networks poorly understood. Recent adult studies suggest that activity exhibits discrete network states with physiological correlates. Here, we studied during sleep using hidden Markov modeling to determine presence such neonatal (NCS) in 107 infants, 47 them presenting a perinatal brain injury. Our results show organizes into four NCSs are present both cardinal infant, active quiet sleep, respectively. These exhibit state-specific spectral functional characteristics. The different NCS dynamics, higher fronto-temporal stronger brain-wide coupling. Brain injury was associated prolonged lifetimes transient NCSs, suggesting lowered or flexibility, networks. Taken together, findings spontaneously occurring already at birth, significant pathological correlates; this analysis framework can be fully automatized, it holds promise for offering an objective, global level measure early function benchmarking neurodevelopmental clinical research.

Язык: Английский

---

Converging on consistent functional connectomics

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 26, 2023

Abstract Functional interactions between brain regions can be viewed as a network, empowering neuroscientists to leverage network science investigate distributed function. However, obtaining from functional neuroimaging data involves multiple steps of manipulation, which drastically affect the organisation and validity estimated its properties. Here, we provide systematic evaluation 576 unique data-processing pipelines for connectomics resting-state MRI, obtained all possible recombinations popular choices atlas type size, connectivity definition selection, global signal regression. We use portrait divergence, an information-theoretic measure differences in topology across scales, quantify influence analytic on overall derived connectome. evaluate each pipeline entire battery criteria, seeking that (i) minimise spurious test-retest discrepancies topology, while simultaneously (ii) mitigating motion confounds, being sensitive both (iii) inter-subject (iv) experimental effects interest, demonstrated by propofol-induced general anaesthesia. Our findings reveal vast variability pipelines’ suitability connectomics. Choice wrong lead results are not only misleading, but systematically so, distorting connectome more than passage several months. also found majority failed meet at least one our criteria. identified 8 candidates satisfying criteria four independent datasets spanning minutes, weeks, months, ensuring generalisability recommendations. generalise alternative acquisition parameters preprocessing denoising choices. By providing community with full breakdown pipeline’s performance this multi-dataset, multi-criteria, multi-scale multi-step approach, establish comprehensive set benchmarks inform future best practices

Язык: Английский

---