Denis Peruzzo1, Sara Mascheretti2, Chiara Andreola2,3, Gabriele Amorosino1,4, Stefania Tirelli1, Daniela Redaelli1, and Filippo Arrigoni1
1Neuroimaging Unit, IRCCS Eugenio Medea, Bosisio Parini, Italy, 2Child Psychopathology Unit, IRCCS Eugenio Medea, Bosisio Parini, Italy, 3Laboratory for the Psychology of Child Development and Education (LaPsyDE), University Paris Descartes, Paris, France, 4NeuroInformatics Laboratory (NILab), Bruno Kessler Foundation, Trento, Italy
1Neuroimaging Unit, IRCCS Eugenio Medea, Bosisio Parini, Italy, 2Child Psychopathology Unit, IRCCS Eugenio Medea, Bosisio Parini, Italy, 3Laboratory for the Psychology of Child Development and Education (LaPsyDE), University Paris Descartes, Paris, France, 4NeuroInformatics Laboratory (NILab), Bruno Kessler Foundation, Trento, Italy
The combination of two well-established visual tasks significantly
discriminated between normal readers and children with developmental
dyslexia, suggesting that differences in the magnocellular functions
are present between the two populations.
Figure 4: kernel weights computed by the MK-SVM classification
algorithm. The kernel weight can be interpreted as the importance of
the ROI in the classification task.
Figure 3: population activation maps for the sinusoidal grating (on the
left) and the coherent dots motion (on the right) tasks. Activation
maps were obtained using the group level analysis tools of FreeSurfer
FS-FAST corrected for multiple comparison using the permutation test.
