User profiles for F. De Martino

Federico De Martino

- Verified email at maastrichtuniversity.nl - Cited by 7184

Fabio De Martino

- Verified email at epfl.ch - Cited by 250

[HTML][HTML] An anatomical and functional topography of human auditory cortical areas

M Moerel, F De Martino, E Formisano - Frontiers in neuroscience, 2014 - frontiersin.org
… (B–D) Top view of left supratemporal plane, after removal of a large part of the parietal cortex.
… (D) Additional frequency selective gradients. In (B–D) red and blue colors show regions of …

Diabetic cardiomyopathy: definition, diagnosis, and therapeutic implications

…, F Renga, L Esposito, F De Martino… - Heart failure …, 2019 - heartfailure.theclinics.com
A strict bidirectional relationship exists between diabetes mellitus (DM) and heart failure (HF).
DM is common in HF patients with a prevalence range from 10% to 30%, and up to 40% in …

The impact of ultra-high field MRI on cognitive and computational neuroimaging

F De Martino, E Yacoub, V Kemper, M Moerel… - Neuroimage, 2018 - Elsevier
The ability to measure functional brain responses non-invasively with ultra high field MRI (7
T and above) represents a unique opportunity in advancing our understanding of the human …

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

…, PF Van de Moortele, J Strupp, G Sapiro, F De Martino… - Neuroimage, 2013 - Elsevier
The Human Connectome Project (HCP) relies primarily on three complementary magnetic
resonance (MR) methods. These are: 1) resting state functional MR imaging (rfMRI) which …

" Who" is saying" what"? Brain-based decoding of human voice and speech

E Formisano, F De Martino, M Bonte, R Goebel - Science, 2008 - science.org
… C) and in the group of seven subjects (B and D) for vowel (A and B) and speaker learning
(C and D). (E and F) Relation between normalized distances of the multidimensional auditory …

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns

F De Martino, G Valente, N Staeren, J Ashburner… - Neuroimage, 2008 - Elsevier
In functional brain mapping, pattern recognition methods allow detecting multivoxel patterns
of brain activation which are informative with respect to a subject's perceptual or cognitive …

[PDF][PDF] Contextual feedback to superficial layers of V1

L Muckli, F De Martino, L Vizioli, LS Petro, FW Smith… - Current Biology, 2015 - cell.com
… (D) We trained an SVM algorithm on a given cortical depth and a given signal (ie, either
feedforward or feedback) and tested its performance against the same or the other signal across …

Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers

F De Martino, F Gentile, F Esposito, M Balsi, F Di Salle… - Neuroimage, 2007 - Elsevier
We present a general method for the classification of independent components (ICs) extracted
from functional MRI (fMRI) data sets. The method consists of two steps. In the first step, …

[HTML][HTML] Estrogen receptor positive breast cancers have patient specific hormone sensitivities and rely on progesterone receptor

V Scabia, A Ayyanan, F De Martino, A Agnoletto… - Nature …, 2022 - nature.com
df Bar graphs showing relative metastatic burden in different organs of MCF7, T47D, and
HCC1428 xenograft-bearing mice treated with E2, P4, or E2 + P4 average ± SEM. Kruskal–…

[HTML][HTML] Encoding of natural sounds at multiple spectral and temporal resolutions in the human auditory cortex

R Santoro, M Moerel, F De Martino… - PLoS computational …, 2014 - journals.plos.org
Functional neuroimaging research provides detailed observations of the response patterns
that natural sounds (eg human voices and speech, animal cries, environmental sounds) …