Amyotrophic lateral sclerosis (ALS) is a multisystem disorder, as supported by clinical, molecular, and neuroimaging evidence. As consequence, predicting clinical features requires description of large-scale neuronal dynamics. Normally, brain activity dynamically reconfigures over time, recruiting different areas. Brain pathologies induce stereotyped dynamics which, in turn, are linked to impairment. Hence, based on recent evidence showing that functional networks become hyperconnected ALS...

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by functional connectivity alterations in both motor and extra-motor brain regions. Within the framework of network analysis, fingerprinting represents reliable approach to assess subject-specific features within given population (healthy or diseased). Here, we applied Clinical Connectome Fingerprint (CCF) analysis source-reconstructed magnetoencephalography (MEG) signals cohort seventy-eight subjects:...

Functional connectivity has been used as a framework to investigate widespread brain interactions underlying cognitive deficits in Mild Cognitive Impairment (MCI). However, many functional metrics focus on the average of periodic activities, disregarding aperiodic bursts activity (i.e., neuronal avalanches) characterising large-scale dynamic activities brain. Here, we apply recently described Avalanche Transition Matrix source-reconstructed magnetoencephalography signals cohort 32 MCI...

Abstract The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics. It is an approach able recognize individuals, based on the network. showed its applicability providing network features used predict cognitive decline in preclinical Alzheimer's disease. In this article, we explore performance of CCF 47 Parkinson's disease (PD) patients and healthy controls, under hypothesis that would show reduced identifiability compared such reduction could be...

Brain connectome fingerprinting is progressively gaining ground in the field of brain network analysis. It represents a valid approach assessing subject-specific connectivity and, according to recent studies, predicting clinical impairment some neurodegenerative diseases. Nevertheless, its performance, and utility, Multiple Sclerosis (MS) has not yet been investigated.We conducted Clinical Connectome Fingerprint (CCF) analysis on source-reconstructed magnetoencephalography signals cohort 50...

Subject differentiation bears the possibility to individualize brain analyses. However, nature of processes generating subject-specific features remains unknown. Most current literature uses techniques that assume stationarity (e.g., Pearson's correlation), which might fail capture non-linear activity. We hypothesize perturbations (defined as neuronal avalanches in context critical dynamics) spread across and carry information, contributing most differentiability. To test this hypothesis, we...

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...

To test the hypothesis that patients affected by Amyotrophic Lateral Sclerosis (ALS) show an altered spatio-temporal spreading of neuronal avalanches in brain, and this may related to clinical picture. We obtained source-reconstructed magnetoencephalography (MEG) signals from thirty-six ALS forty-two healthy controls. Then, we used construct avalanche transition matrix (ATM) corresponding network parameter nodal strength quantify changes each region, since provides key information about...

ABSTRACT Measuring propagation of perturbations across the human brain and their transmission delays is critical for network neuroscience, but it a challenging problem that still requires advancement. Here, we compare results from recently introduced, noninvasive technique functional estimation source‐reconstructed electro/magnetoencephalography, to corresponding findings large dataset cortico‐cortical evoked potentials estimated intracerebral stimulations patients suffering...

ABSTRACT Complex spontaneous brain dynamics mirror the large number of interactions taking place among regions, supporting higher functions. Such complexity is manifested in interregional dependencies signals derived from different areas, as observed utilising neuroimaging techniques, like magnetoencephalography. The this data produce numerous subsets active regions at any moment they evolve. Notably, converging evidence shows that these states can be understood terms transient coordinated...

Three-dimensional motion analysis represents a quantitative approach to assess spatio-temporal and kinematic changes in health disease. However, these parameters provide only segmental information, discarding minor of complex whole body kinematics characterizing physiological and/or pathological conditions. We aimed how levodopa intake affects the body, analyzing interactions during gait Parkinson's disease (PD) through network theory which relationships between elements system. To this end,...

Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, current methodological approaches to study human are still limited evaluation synergies among a few body elements. Network science can be useful approach describe as whole extract features that relevant understanding both its complex physiology pathophysiology disorders. Here, we propose represent network (that named kinectome), where nodes points, edges defined...

Acoustic stimulation appears to be a promising strategy in reducing the risk of falling older adults, demonstrating effectiveness improving stability. However, its impact on movement variability, another crucial indicator fall risk, seems limited. This study aims assess variability during walking cohort healthy adults exposed three different frequencies acoustic (90%, 100% and 110% each subject's average cadence). Using systemic approach based network theory, which considers intricate...

Background Brain connectome fingerprinting represents a recent and valid approach in assessing individual identifiability on the basis of subject-specific brain functional connectome. Although this methodology has been tested validated several neurological diseases, its performance, reliability reproducibility healthy individuals poorly investigated. In particular, impact changes connectivity, induced by different phases menstrual cycle (MC), remains unexplored. Furthermore, although...

Abstract Multiple sclerosis (MS) is typically diagnosed based on the clinical presentation, presence of structural MRI lesions, and a “no better explanation” criterion. The disseminated in time space, are consequence autoimmune processes leading to damage myelin sheath central nervous system. As such, one would expect that more lesions relate higher disability. However, conflicting scenario often present, with high lesion load related mild impairment, vice versa, phenomenon referred as...

Résumé De quoi l’histoire des sciences est-elle ? En les travaux qui s’en réclament définissent-ils un domaine homogène Quels en sont défis actuels La récente traduction français de Simon Schaffer et la publication dans ce même volume Annales son article issu conférence Marc Bloch 2014 deux prétextes d’une réflexion historiographique sur bouleversements profonds ont affecté le trente dernières années, principalement France, depuis sa recomposition à partir l’apport sociologues anthropologues...

Abstract Although the aetio‐pathogenesis of inflammatory bowel diseases (IBD) is not entirely clear, interaction between genetic and adverse environmental factors may induce an intestinal dysbiosis, resulting in chronic inflammation having effects on large‐scale brain network. Here, we hypothesized inflammation‐related changes topology IBD patients, regardless clinical form [ulcerative colitis (UC) or Crohn's disease (CD)]. To test this hypothesis, analysed source‐reconstructed...