Symmetry breaking organizes the brain’s resting state manifold DOI Creative Commons
J. Fousek, Giovanni Rabuffo, Kashyap Gudibanda

et al.

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

Published: Dec. 30, 2024

Abstract Spontaneously fluctuating brain activity patterns that emerge at rest have been linked to the brain’s health and cognition. Despite detailed descriptions of spatio-temporal patterns, our understanding their generative mechanism is still incomplete. Using a combination computational modeling dynamical systems analysis we provide mechanistic description formation resting state manifold via network connectivity. We demonstrate symmetry breaking by connectivity creates characteristic flow on manifold, which produces major data features across scales imaging modalities. These include spontaneous high-amplitude co-activations, neuronal cascades, spectral cortical gradients, multistability, functional dynamics. When aggregated hierarchies, these match profiles from empirical data. The fundamental for construction task-specific flows manifolds used in theories function. In addition, it shifts focus single recordings towards capacity generate certain dynamics pathology.

Language: Английский

Glioblastoma and brain connectivity: the need for a paradigm shift DOI
Alessandro Salvalaggio,

Lorenzo Pini,

Alessandra Bertoldo

et al.

The Lancet Neurology, Journal Year: 2024, Volume and Issue: 23(7), P. 740 - 748

Published: June 13, 2024

Language: Английский

Citations

16
Transient resting-state salience-limbic co-activation patterns in functional neurological disorders DOI Creative Commons
Samantha Weber, Janine Bühler, Serafeim Loukas

et al.

NeuroImage Clinical, Journal Year: 2024, Volume and Issue: 41, P. 103583 - 103583

Published: Jan. 1, 2024

Background: Functional neurological disorders were historically regarded as the manifestation of a dynamic brain lesion which might be linked to trauma or stress, although this association has not yet been directly tested yet.Analysing large-scale network dynamics at rest in relation stress biomarkers assessed by salivary cortisol and amylase could provide new insights into pathophysiology functional symptoms.Methods: Case-control resting-state magnetic resonance imaging study 79 patients with mixed (i.e., movement disorders, seizures, persistent perceptualpostural dizziness) 74 age-and sex-matched healthy controls.Using two-step hierarchical data-driven neuroimaging approach, static connectivity was first computed between 17 networks.Second, alterations these networks examined using co-activation pattern analysis.Using partial least squares correlation analysis, multivariate altered temporal characteristics well clinical scores evaluated.Results: Compared controls, presented aberrancies salience-limbic connectivity.Thus, insula amygdala selected seed-regions for subsequent analyses.Insular co-(de)activation patterns related salience network, somatomotor default mode detected, entered more frequently than controls.Moreover, an insular subcortical regions together wide-spread diverse cortical less controls.In patients, conjointly correlated measures duration symptoms. Conclusion:The relationship patterns, data proposes inter-related mechanisms involved regulation (network) integration.In summary, identified disorder supporting previously raised concepts impaired attentional interoceptive processing.

Language: Английский

Citations

14
The emergence of multiscale connectomics-based approaches in stroke recovery DOI Creative Commons
Shahrzad Latifi, S. Thomas Carmichael

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(4), P. 303 - 318

Published: Feb. 23, 2024

Stroke is a leading cause of adult disability. Understanding stroke damage and recovery requires deciphering changes in complex brain networks across different spatiotemporal scales. While recent developments readout technologies progress network modeling have revolutionized current understanding the effects on at macroscale, reorganization smaller scale remains incompletely understood. In this review, we use conceptual framework graph theory to define from nano- macroscales. Highlighting stroke-related connectivity studies multiple scales, argue that multiscale connectomics-based approaches may provide new routes better evaluate structural functional remapping after during recovery.

Language: Английский

Citations

11
Transdiagnostic study of dynamic brain activity and connectivity among people with gambling and internet gaming disorders DOI Creative Commons
Hui Zhou, Yuwen He, Lulu Liu

et al.

International Journal of Clinical and Health Psychology, Journal Year: 2025, Volume and Issue: 25(1), P. 100547 - 100547

Published: Jan. 1, 2025

Language: Английский

Citations

1
Structural connectome construction using constrained spherical deconvolution in multi-shell diffusion-weighted magnetic resonance imaging DOI
Marlene Tahedl, Jacques‐Donald Tournier, Robert E. Smith

et al.

Nature Protocols, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

1
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness DOI Creative Commons
Andrea I. Luppi, Joana Cabral, Rodrigo Cofré

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 275, P. 120162 - 120162

Published: May 15, 2023

Disorders of consciousness are complex conditions characterised by persistent loss responsiveness due to brain injury. They present diagnostic challenges and limited options for treatment, highlight the urgent need a more thorough understanding how human arises from coordinated neural activity. The increasing availability multimodal neuroimaging data has given rise wide range clinically- scientifically-motivated modelling efforts, seeking improve data-driven stratification patients, identify causal mechanisms patient pathophysiology broadly, develop simulations as means testing in silico potential treatment avenues restore consciousness. As dedicated Working Group clinicians neuroscientists international Curing Coma Campaign, here we provide our framework vision understand diverse statistical generative computational approaches that being employed this fast-growing field. We gaps exist between current state-of-the-art biophysical neuroscience, aspirational goal mature field disorders consciousness; which might drive improved treatments outcomes clinic. Finally, make several recommendations whole can work together address these challenges.

Language: Английский

Citations

19
Functional networks in prolonged disorders of consciousness DOI Creative Commons
Hui Li, Xiaonian Zhang,

Xinting Sun

et al.

Frontiers in Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Feb. 17, 2023

Prolonged disorders of consciousness (DoC) are characterized by extended disruptions brain activities that sustain wakefulness and awareness caused various etiologies. During the past decades, neuroimaging has been a practical method investigation in basic clinical research to identify how properties interact different levels consciousness. Resting-state functional connectivity within between canonical cortical networks correlates with calculation associated temporal blood oxygen level-dependent (BOLD) signal process during MRI (fMRI) reveals function patients prolonged DoC. There certain including default mode, dorsal attention, executive control, salience, auditory, visual, sensorimotor have reported be altered low-level states under either pathological or physiological states. Analysis network connections based on imaging contributes more accurate judgments level prognosis at level. In this review, neurobehavioral evaluation DoC resting-state fMRI were reviewed provide reference values for diagnosis prognostic evaluation.

Language: Английский

Citations

15
Rethinking Remapping: Circuit Mechanisms of Recovery after Stroke DOI Creative Commons
Baruc Campos, Hoseok Choi, Andrew T. DeMarco

et al.

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(45), P. 7489 - 7500

Published: Nov. 8, 2023

Stroke is one of the most common causes disability, and there are few treatments that can improve recovery after stroke. Therapeutic development has been hindered because a lack understanding precisely how neural circuits affected by stroke, these change to mediate recovery. Indeed, some hypotheses for CNS changes recovery, including remapping, redundancy, diaschisis, date more than century ago. Recent technological advances have enabled interrogation with ever greater temporal spatial resolution. These techniques increasingly being applied across animal models stroke human survivors, shedding light on molecular, structural, functional undergo Here we review studies highlight important mechanisms underlie impairment We begin summarizing knowledge about in activity occur peri-infarct cortex, specifically considering evidence remapping hypothesis Next, describe importance population dynamics, disruptions dynamics allocation neurons into spared restore functionality. On global scale, then discuss effects long-range pathways, interhemispheric interactions corticospinal tract transmission, contribute post-stroke impairments. Finally, look forward consider deeper circuit may lead novel reduce disability

Language: Английский

Citations

14
Bilateral effect of acupuncture on cerebrum and cerebellum in ischaemic stroke patients with hemiparesis: a randomised clinical and neuroimaging trial DOI Creative Commons
Tianzhu Chen, Tianyan Chen, Yong Zhang

et al.

Stroke and Vascular Neurology, Journal Year: 2024, Volume and Issue: 9(3), P. 306 - 317

Published: Feb. 8, 2024

Background Acupuncture involving the limb region may be effective for stroke rehabilitation clinically, but visualised and explanatory evidence is limited. Our objectives were to assess specific effects of acupuncture ischaemic (IS) patients with hemiparesis investigate its therapy-driven modification in functional connectivity. Methods IS randomly assigned (2:1) receive 10 sessions hand-foot 12 needles (HA, n=30) or non-acupoint (NA) (n=16), enrolling gender-matched age-matched healthy controls (HCs, n=34). The clinical outcomes improved Fugl-Meyer Assessment scores including upper lower extremity (ΔFM, ΔFM-UE, ΔFM-LE). neuroimaging outcome was voxel-mirrored homotopic connectivity (VMHC). Static dynamic (sFC, DFC) analyses used study neuroplasticity reorganisation. Results 46 ISs (mean(SD) age, 59.37 (11.36) years) 34 HCs 52.88 (9.69) included per-protocol analysis neuroimaging. In clinical, ΔFM 5.00 HA group 2.50 NA group, a dual correlation between ΔVMHC (angular: r=0.696, p=0.000; cerebellum: r=−0.716, p=0.000) fitting linear regression model (R 2 =0.828). neuroimaging, demonstrated decreased VMHC bilateral postcentral gyrus cerebellum (Gaussian random field, GRF corrected, voxel p<0.001, cluster p<0.05), which fitted logistic (AUC=0.8413, accuracy=0.7500). Following acupuncture, superior frontal orbital part increased cerebro-cerebellar changes, higher sFC ipsilesional contralesional orbitofrontal cortex as well (GRF p<0.05). coefficient variation posterior cingulate (PPC) locally integration states transforming into segregation overall (p<0.05). There no acupuncture-related adverse event. Conclusions randomised trial could promote motor recovery modified via static reorganisations hemiparesis.

Language: Английский

Citations

5
Dynamic Reconfiguration of Brain Functional Network in Stroke DOI Creative Commons
Kaichao Wu, Beth Jelfs, Katrina Neville

et al.

IEEE Journal of Biomedical and Health Informatics, Journal Year: 2024, Volume and Issue: 28(6), P. 3649 - 3659

Published: Feb. 28, 2024

The brain continually reorganizes its functional network to adapt post-stroke impairments. Previous studies using static modularity analysis have presented global-level behavior patterns of this reorganization. However, it is far from understood how the reconfigures dynamically following a stroke. This study collected resting-state MRI data 15 stroke patients, with mild (n = 6) and severe 9) two subgroups based on their clinical symptoms. Additionally, age-matched healthy subjects were considered as controls. By applying multilayer temporal method, dynamic modular structure was recognized time-resolved function network. measurements (recruitment, integration, flexibility) calculated characterize reconfiguration networks, hence, revealing neural rebuilding process. It found investigation that patients tended reduced recruitment increased between-network while exhibited low flexibility less integration. It's also noted previous methods could not reveal severity-dependent alteration in interaction. Clinically, obtained knowledge diverse adjustment networks observed neuronal images help understand underlying mechanism motor, speech, cognitive impairments caused by attacks. present method only be used evaluate patients' current status but has potential provide insights into prognosis prediction.

Language: Английский

Citations

5