20 Works

Data from: Computing the local field potential (LFP) from integrate-and-fire network models

Alberto Mazzoni, Henrik Anders Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute Tomas Einevoll & Henrik Lindén
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic network states. However, neurophysiological studies in vivo often rather measure the mass activity of neuronal microcircuits with the local field potential (LFP). Given that LFPs are generated by spatially separated currents across the neuronal membrane, they cannot be computed directly from quantities defined in models of point-like LIF neurons. Here, we explore...

Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani & Gianluca Pontone
Abstract Background Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the major challenge to automatically derive clinical information. The aim of this study is to investigate the accuracy of a deep learning (DL) approach for automatic segmentation of cardiac structures from CMR images characterized by magnetic susceptibility artifact in patient with cardiac implanted...

Synaptic alterations in visual cortex reshape contrast-dependent gamma oscillations and inhibition-excitation ratio in a genetic mouse model of migraine

Nicolò Meneghetti, Chiara Cerri, Eleonora Vannini, Elena Tantillo, Angelita Tottene, Daniela Pietrobon, Matteo Caleo & Alberto Mazzoni
Abstract Background Migraine affects a significant fraction of the world population, yet its etiology is not completely understood. In vitro results highlighted thalamocortical and intra-cortical glutamatergic synaptic gain-of-function associated with a monogenic form of migraine (familial-hemiplegic-migraine-type-1: FHM1). However, how these alterations reverberate on cortical activity remains unclear. As altered responsivity to visual stimuli and abnormal processing of visual sensory information are common hallmarks of migraine, herein we investigated the effects of FHM1-driven synaptic alterations in...

Data from: Hybrid EEG/EOG-based brain/neural hand exoskeleton restores fully independent daily living activities after quadriplegia

Surjo R. Soekadar, Matthias Witkowski, Jürgen Mellinger, Marius Nann, Cristina Gómez, Eloy Opisso, Josep Medina, Mario Cortese, Marco Cempini, Maria Chiara Carrozza, Leonardo G. Cohen, Niels Birbaumer & Nicola Vitiello
Direct brain control of advanced robotic systems promises substantial improvements in health care, for example, to restore intuitive control of hand movements required for activities of daily living in quadriplegics, like holding a cup and drinking, eating with cutlery, or manipulating different objects. However, such integrated, brain- or neural-controlled robotic systems have yet to enter broader clinical use or daily life environments. We demonstrate full restoration of independent daily living activities, such as eating and...

Data from: The interplay of landscape composition and configuration: new pathways to manage functional biodiversity and agro-ecosystem services across Europe

Emily A. Martin, Matteo Dainese, Yann Clough, András Báldi, Riccardo Bommarco, Vesna Gagic, Michael Garratt, Andrea Holzschuh, David Kleijn, Anikó Kovács-Hostyánszki, Lorenzo Marini, Simon G. Potts, Henrik G. Smith, Diab Al Hassan, Matthias Albrecht, Georg K. S. Andersson, Josep Asis, Stephanie Aviron, Mario Balzan, Laura Baños-Picón, Ignasi Bartomeus, Peter Batary, Françoise Burel, Berta Caballero-López, Elena D. Concepcion … & Ingolf Steffan-Dewenter
Managing agricultural landscapes to support biodiversity and ecosystem services is a key aim of a sustainable agriculture. However, how the spatial arrangement of crop fields and other habitats in landscapes impacts arthropods and their functions is poorly known. Synthesising data from 49 studies (1515 landscapes) across Europe, we examined effects of landscape composition (% habitats) and configuration (edge density) on arthropods in fields and their margins, pest control, pollination and yields. Configuration effects interacted with...

Data from: Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans

Calogero Maria Oddo, Stanisa Raspopovic, Fiorenzo Artoni, Alberto Mazzoni, Giacomo Spigler, Francesco Petrini, Giambattistelli Federica, Vecchio Fabrizio, Miraglia Francesca, Zollo Loredana, Giovanni Di Pino, Domenico Camboni, Maria Chiara Carrozza, Eugenio Guglielmelli, Paolo Maria Rossini, Ugo Faraguna & Silvestro Micera
Restoration of touch after hand amputation is a desirable feature of ideal prostheses. Here, we show that texture discrimination can be artificially provided in human subjects by implementing a neuromorphic real-time mechano-neuro-transduction (MNT), which emulates to some extent the firing dynamics of SA1 cutaneous afferents. The MNT process was used to modulate the temporal pattern of electrical spikes delivered to the human median nerve via percutaneous microstimulation in four intact subjects and via implanted intrafascicular...

Additional file 1 of Synaptic alterations in visual cortex reshape contrast-dependent gamma oscillations and inhibition-excitation ratio in a genetic mouse model of migraine

Nicolò Meneghetti, Chiara Cerri, Eleonora Vannini, Elena Tantillo, Angelita Tottene, Daniela Pietrobon, Matteo Caleo & Alberto Mazzoni
Fig. S1 related to Figs. 3, 4. (A) (left) PSD modulation for the minimum contrast level (K = 0) of experimental (black) and simulated data for WT (orange, left) and FHM1 (green, right). $${\chi}_r^2=0.34$$ χ r 2 = 0.34 for WT and $${\chi}_r^2=0.28$$ χ r 2 = 0.28 for FHM1. (B) Cortical narrow band power modulation as a function of thalamic narrow band strength in the FHM1 model. The model was set with (red) and...

Additional file 1 of Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani & Gianluca Pontone
Additional file 1. Table S1. Correlations between CNN and manual gold standard on the artifacts-free images. Table S2. Internal validation: correlations on images with artifacts for the proposed CNN and the commercial software (Circle) in respect to the manual gold standard (GT). Also, the results relevant to interobserver variability between O1 and O2 reported for comparison. Table S3. External validation: correlations between CNN and manual gold standard on images with artifacts. Figure S1. Encoder module....

Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani & Gianluca Pontone
Abstract Background Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the major challenge to automatically derive clinical information. The aim of this study is to investigate the accuracy of a deep learning (DL) approach for automatic segmentation of cardiac structures from CMR images characterized by magnetic susceptibility artifact in patient with cardiac implanted...

Impact of decompressive craniectomy on functional outcome of severe acquired brain injuries patients, at discharge from intensive inpatient rehabilitation

Bahia Hakiki, Piergiuseppe Liuzzi, Gastone Pansini, Silvia Pancani, Annamaria Romoli, Francesca Draghi, Simone Orlandini, Andrea Mannini, Alessandro Della Puppa, Claudio Macchi & Francesca Cecchi
Decompressive craniectomy (DC) is a life-saving procedure conducted to treat refractory intracranial hypertension. Although DC reduces mortality of severe Acquired Brain Injury (sABI) survivors, it has been associated with severe long-term disability. This observational study compares functional outcomes at discharge from an Intensive Rehabilitative Unit (IRU) between sABI patients with and without DC. sABI patients undergoing DC before entering the Don Gnocchi Foundation IRU were compared with a group of sABI patients who did not...

Data from: Evidence of divergent selection for drought and cold tolerance at landscape and local scales in Abies alba Mill. in the French Mediterranean Alps

Anna M. Roschanski, Katalin Csilléry, Sascha Liepelt, Sylvie Oddou-Muratorio, Birgit Ziegenhagen, Frédéric Huard, Kristian K. Ullrich, Dragos Postolache, Giovanni G. Vendramin & Bruno Fady
Understanding local adaptation in forest trees is currently a key research and societal priority. Geographically and ecologically marginal populations provide ideal case studies, because environmental stress along with reduced gene flow can facilitate the establishment of locally adapted populations. We sampled European silver fir (Abies alba Mill.) trees in the French Mediterranean Alps, along the margin of its distribution range, from pairs of high and low elevation plots on four different mountains situated along a...

VISTA, Visual and Inertial Sensor for recogniTion of human Activities

Alessandro Di Nuovo, Federica Gabriella Cornacchia Loizzo, Laura Fiorini, Filippo Cavallo, Alessandra Sorrentino & Erika ROVINI

Impact of decompressive craniectomy on functional outcome of severe acquired brain injuries patients, at discharge from intensive inpatient rehabilitation

Bahia Hakiki, Piergiuseppe Liuzzi, Gastone Pansini, Silvia Pancani, Annamaria Romoli, Francesca Draghi, Simone Orlandini, Andrea Mannini, Alessandro Della Puppa, Claudio Macchi & Francesca Cecchi
Decompressive craniectomy (DC) is a life-saving procedure conducted to treat refractory intracranial hypertension. Although DC reduces mortality of severe Acquired Brain Injury (sABI) survivors, it has been associated with severe long-term disability. This observational study compares functional outcomes at discharge from an Intensive Rehabilitative Unit (IRU) between sABI patients with and without DC. sABI patients undergoing DC before entering the Don Gnocchi Foundation IRU were compared with a group of sABI patients who did not...

Impact of decompressive craniectomy on functional outcome of severe acquired brain injuries patients, at discharge from intensive inpatient rehabilitation

Bahia Hakiki, Piergiuseppe Liuzzi, Gastone Pansini, Silvia Pancani, Annamaria Romoli, Francesca Draghi, Simone Orlandini, Andrea Mannini, Alessandro Della Puppa, Claudio Macchi & Francesca Cecchi
Decompressive craniectomy (DC) is a life-saving procedure conducted to treat refractory intracranial hypertension. Although DC reduces mortality of severe Acquired Brain Injury (sABI) survivors, it has been associated with severe long-term disability. This observational study compares functional outcomes at discharge from an Intensive Rehabilitative Unit (IRU) between sABI patients with and without DC. sABI patients undergoing DC before entering the Don Gnocchi Foundation IRU were compared with a group of sABI patients who did not...

Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data

Marzia A. Cremona & Francesca Chiaromonte
We develop a new method to locally cluster curves and discover functional motifs, that is, typical shapes that may recur several times along and across the curves capturing important local characteristics. In order to identify these shared curve portions, our method leverages ideas from functional data analysis (joint clustering and alignment of curves), bioinformatics (local alignment through the extension of high similarity seeds) and fuzzy clustering (curves belonging to more than one cluster, if they...

Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data

Marzia A. Cremona & Francesca Chiaromonte
We develop a new method to locally cluster curves and discover functional motifs, that is, typical shapes that may recur several times along and across the curves capturing important local characteristics. In order to identify these shared curve portions, our method leverages ideas from functional data analysis (joint clustering and alignment of curves), bioinformatics (local alignment through the extension of high similarity seeds) and fuzzy clustering (curves belonging to more than one cluster, if they...

Additional file 1 of Synaptic alterations in visual cortex reshape contrast-dependent gamma oscillations and inhibition-excitation ratio in a genetic mouse model of migraine

Nicolò Meneghetti, Chiara Cerri, Eleonora Vannini, Elena Tantillo, Angelita Tottene, Daniela Pietrobon, Matteo Caleo & Alberto Mazzoni
Fig. S1 related to Figs. 3, 4. (A) (left) PSD modulation for the minimum contrast level (K = 0) of experimental (black) and simulated data for WT (orange, left) and FHM1 (green, right). $${\chi}_r^2=0.34$$ χ r 2 = 0.34 for WT and $${\chi}_r^2=0.28$$ χ r 2 = 0.28 for FHM1. (B) Cortical narrow band power modulation as a function of thalamic narrow band strength in the FHM1 model. The model was set with (red) and...

Synaptic alterations in visual cortex reshape contrast-dependent gamma oscillations and inhibition-excitation ratio in a genetic mouse model of migraine

Nicolò Meneghetti, Chiara Cerri, Eleonora Vannini, Elena Tantillo, Angelita Tottene, Daniela Pietrobon, Matteo Caleo & Alberto Mazzoni
Abstract Background Migraine affects a significant fraction of the world population, yet its etiology is not completely understood. In vitro results highlighted thalamocortical and intra-cortical glutamatergic synaptic gain-of-function associated with a monogenic form of migraine (familial-hemiplegic-migraine-type-1: FHM1). However, how these alterations reverberate on cortical activity remains unclear. As altered responsivity to visual stimuli and abnormal processing of visual sensory information are common hallmarks of migraine, herein we investigated the effects of FHM1-driven synaptic alterations in...

Additional file 1 of Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani & Gianluca Pontone
Additional file 1. Table S1. Correlations between CNN and manual gold standard on the artifacts-free images. Table S2. Internal validation: correlations on images with artifacts for the proposed CNN and the commercial software (Circle) in respect to the manual gold standard (GT). Also, the results relevant to interobserver variability between O1 and O2 reported for comparison. Table S3. External validation: correlations between CNN and manual gold standard on images with artifacts. Figure S1. Encoder module....

Probabilistic K-means with local alignment for clustering and motif discovery in functional data

Marzia A. Cremona & Francesca Chiaromonte
We develop a new method to locally cluster curves and discover functional motifs, i.e. typical shapes that may recur several times along and across the curves capturing important local characteristics. In order to identify these shared curve portions, our method leverages ideas from functional data analysis (joint clustering and alignment of curves), bioinformatics (local alignment through the extension of high similarity seeds) and fuzzy clustering (curves belonging to more than one cluster, if they contain...

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Affiliations

  • Sant'Anna School of Advanced Studies
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  • University of Padua
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  • University of Pisa
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  • Centro Cardiologico Monzino
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  • Politecnico di Milano
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  • Edward Hines, Jr. VA Hospital
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  • Neuroscience Institute
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  • Institute of Molecular Science and Technologies
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  • Scuola Normale Superiore di Pisa
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  • Azienda Ospedaliera Universitaria Policlinico "G. Martino"
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