Affiliation: Harvard University
- Direction of magnetoencephalography sources associated with feedback and feedforward contributions in a visual object recognition taskSeppo P Ahlfors
Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, MA 02129, USA Harvard MIT Division of Health Sciences and Technology, Cambridge, MA 02135, USA Electronic address
Neurosci Lett 585:149-54. 2015..Associating specific features of the MEG/EEG source waveforms to feedforward and feedback inputs could provide unique information about the activation patterns within hierarchically organized cortical areas. ..
- Geometrical interpretation of fMRI-guided MEG/EEG inverse estimatesSeppo P Ahlfors
MGH MIT HMS Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Mailcode 149 2301, Charlestown, MA 02129, USA
Neuroimage 22:323-32. 2004..Importantly, when the fMRI loci do not match the true MEG/EEG loci, the solution is insensitive to those fMRI loci...
- Cancellation of EEG and MEG signals generated by extended and distributed sourcesSeppo P Ahlfors
Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Charlestown, 02129, USA
Hum Brain Mapp 31:140-9. 2010..Furthermore, the selective cancellation may be used to explain some observed differences between EEG and MEG in terms of focal vs. widespread cortical activity...
- Sensitivity of MEG and EEG to source orientationSeppo P Ahlfors
MGH HST Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, 149 13th Street, Rm 2301, Charlestown, MA 02129, USA
Brain Topogr 23:227-32. 2010..06 for MEG and 0.63 for EEG. The difference in the sensitivity to the source orientation is expected to contribute to systematic differences in the signal-to-noise ratio between MEG and EEG...
- Inferring Cortical Feed-Forward and Feedback Processes with Human NeuroimagingSEPPO AHLFORS; Fiscal Year: 2009..It could lead to a better understanding of the neural mechanisms underlying cognitive functions, as well as to potential applications for revealing mechanisms of neural disorders. ..