Flexibility of brain dynamics is increased and predicts clinical impairment in Relapsing-Remitting but not in Secondary Progressive Multiple Sclerosis DOI Creative Commons
Lorenzo Cipriano, Roberta Minino, Marianna Liparoti

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 27, 2023

ABSTRACT Background Large-scale brain activity has long been investigated under the erroneous assumption of stationarity. Nowadays, we know that resting state functional connectivity is characterised by aperiodic, scale-free bursts (i.e. neuronal avalanches) intermittently recruit different regions. These patterns represent a measure flexibility, whose reduction found to predict clinical impairment in multiple neurodegenerative diseases such as Parkinson’s disease, Amyotrophic Lateral Sclerosis, and Alzheimer’s disease. Brain flexibility recently increased Multiple Sclerosis (MS) but its relationship with disability remains elusive. Also, potential differences dynamics according MS phenotypes remain unexplored so far. Methods We studied through source-reconstruction magnetoencephalography (MEG) signals cohort 25 patients (10 RRMS 15 SPMS) healthy controls (HC). Results showed greater than HC. On contrary, no were SPMS compared Finally, predictive power on type. Conclusion For first time, high temporal resolution techniques, unveiling phenotype disability.

Language: Английский

Investigating the impact of different dichotomous definitions for cognitive impairment on functional connectivity in Secondary Progressive MS. DOI
Anisha Doshi, Nils Muhlert, Gloria Castellazzi

et al.

Multiple Sclerosis and Related Disorders, Journal Year: 2025, Volume and Issue: unknown, P. 106270 - 106270

Published: Jan. 1, 2025

Language: Английский

Citations

0
Flexibility of brain dynamics is increased and predicts clinical impairment in relapsing–remitting but not in secondary progressive multiple sclerosis DOI Creative Commons
Lorenzo Cipriano, Roberta Minino, Marianna Liparoti

et al.

Brain Communications, Journal Year: 2024, Volume and Issue: 6(2)

Published: Jan. 1, 2024

Large-scale brain activity has long been investigated under the erroneous assumption of stationarity. Nowadays, we know that resting-state functional connectivity is characterized by aperiodic, scale-free bursts (i.e. neuronal avalanches) intermittently recruit different regions. These patterns represent a measure flexibility, whose reduction found to predict clinical impairment in multiple neurodegenerative diseases such as Parkinson's disease, amyotrophic lateral sclerosis and Alzheimer's disease. Brain flexibility recently increased sclerosis, but its relationship with disability remains elusive. Also, potential differences dynamics according phenotypes remain unexplored so far. We performed study quantifying utilizing 'functional repertoire' number configurations active areas) through source reconstruction magnetoencephalography signals cohort 25 patients (10 relapsing-remitting 15 secondary progressive sclerosis) healthy controls. Multiple showed greater unique reconfigurations at fast time scales compared This difference was mainly driven phenotype, whereas no significant were between also predictive power on type. For first time, high temporal resolution techniques, unveiling phenotype disability.

Language: Английский

Citations

3
A Pipeline for the Analysis of Multilayer Brain Networks DOI
Ilaria Lazzaro, Marianna Milano, Mario Cannataro

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 86 - 98

Published: Jan. 1, 2024

Language: Английский

Citations

1
Diffusion tensor tomography with tractography in assessment of the pyramidal system in patients with highly active multiple sclerosis DOI Creative Commons
A. N. Peshkin,

G. T. Toniya,

Е. А. Степанова

et al.

Neurology neuropsychiatry Psychosomatics, Journal Year: 2024, Volume and Issue: 16(3), P. 31 - 37

Published: June 21, 2024

Objective : to study the pyramidal tract in patients with highly active multiple sclerosis (HAMS) during treatment switching from first-line MS therapy second-line due suboptimal response. Material and methods . 24 HAMS were analyzed. Depending on severity of functional system (PFS) impairment according EDSS, divided into 2 groups; group 1 — 17 an EDSS score 0—2.5 points, 7 ≥3 points. All underwent MRI brain standard protocol. The diffusion tensor images (DTI) processed using DTI FiberTrak software. Results volume was decreased (p<0.001), asymmetry indicator noted, several a decrease clinically intact side, which may indicate visually undetectable signs damage tract. There clear tendency for fractional anisotropy length increasing deficit (p<0.001). Negative correlations found between indicators neurological (Spearman's Rho=-0.5246; p<0.001) direct correlation duration apparent coefficient (ADC) inversely (Pearson's R=-0.290; p=0.039). Conclusion observed length, increase ADC, these indicators, degree insufficiency, can obviously serve as additional criteria evaluation disease dynamics efficacy therapy.

Language: Английский

Citations

0
Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder DOI Creative Commons

Luyao Lai,

Dandan Li, Yating Zhang

et al.

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 935 - 935

Published: Sept. 19, 2024

Background: Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences information interactions between adjacent layers when constructing multilayer networks, and analysis of is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients 54 normal controls. A temporal network was constructed for each subject, inter-layer coupling different nodes considered using similarity. The promiscuity, recruitment, integration coefficients calculated quantify reconfigurations two groups; Results: global coupling, significantly lower patients. These results further observed attention limbic/paralimbic subcortical network, reflecting reduced stability, intra- inter-subnetwork communication abilities whole-brain promiscuity increased same somatosensory/motor auditory more interactions; Conclusions: This study discovered perspective reconfiguration, which can help understand pathological mechanisms BD.

Language: Английский

Citations

0
Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach DOI Creative Commons
Farzad V. Farahani,

Lukman E. Ismaila,

Cristina Sadowsky

et al.

Neurotrauma Reports, Journal Year: 2024, Volume and Issue: 5(1), P. 1048 - 1059

Published: May 1, 2024

Neurological recovery in individuals with spinal cord injury (SCI) is multifaceted, involving mechanisms such as remyelination and perilesional neuroplasticity, cortical reorganization being one contributing factor. Cortical reorganization, particular, can be evaluated through network (graph) analysis of interregional functional connectivity. This study aimed to investigate patterns persons chronic SCI using a multilayer community detection approach on resting-state MRI data. Thirty-eight participants cervical or thoracic 32 matched healthy controls were examined. Significant alterations brain structures observed the cohort, particularly within sensorimotor (SMN). Importantly, this revealed pattern segregation SMN, aligning borders representations upper lower body orofacial regions. The cohort showed reduced recruitment integration coefficients across multiple networks, indicating impaired internetwork communication that may underlie sensory motor deficits SCI. These findings highlight impact connectivity suggest potential compensatory mechanisms.

Language: Английский

Citations

0
Flexibility of brain dynamics is increased and predicts clinical impairment in Relapsing-Remitting but not in Secondary Progressive Multiple Sclerosis DOI Creative Commons
Lorenzo Cipriano, Roberta Minino, Marianna Liparoti

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 27, 2023

ABSTRACT Background Large-scale brain activity has long been investigated under the erroneous assumption of stationarity. Nowadays, we know that resting state functional connectivity is characterised by aperiodic, scale-free bursts (i.e. neuronal avalanches) intermittently recruit different regions. These patterns represent a measure flexibility, whose reduction found to predict clinical impairment in multiple neurodegenerative diseases such as Parkinson’s disease, Amyotrophic Lateral Sclerosis, and Alzheimer’s disease. Brain flexibility recently increased Multiple Sclerosis (MS) but its relationship with disability remains elusive. Also, potential differences dynamics according MS phenotypes remain unexplored so far. Methods We studied through source-reconstruction magnetoencephalography (MEG) signals cohort 25 patients (10 RRMS 15 SPMS) healthy controls (HC). Results showed greater than HC. On contrary, no were SPMS compared Finally, predictive power on type. Conclusion For first time, high temporal resolution techniques, unveiling phenotype disability.

Language: Английский

Citations

1