Personer

Matti Hämäläinen

Professor

T314 Dept. Neuroscience and Biomedical Engineering

Full researcher profile

https://research.aalto.fi/...

Kontakuppgifter

E-post

[email protected]

Telefonnummer

+358407185244

Publikationer

Sex-related patterns in the electroencephalogram and their relevance in machine learning classifiers

Thomas Jochmann, Marc S. Seibel, Elisabeth Jochmann, Sheraz Khan, Matti S. Hämäläinen, Jens Haueisen 2023 Human Brain Mapping

Magnetoencephalography and electroencephalography can both detect differences in cortical responses to vibrotactile stimuli in individuals on the autism spectrum

Seppo P. Ahlfors, Steven Graham, Jussi Alho, Robert M. Joseph, Nicole M. McGuiggan, Zein Nayal, Matti S. Hämäläinen, Sheraz Khan, Tal Kenet 2022 Frontiers in Psychiatry

Editorial: Magnetoencephalography: Methodological innovation paves the way for scientific discoveries and new clinical applications

Rafeed Alkawadri, Rei Enatsu, Matti Hämäläinen, Anto Bagić 2022 Frontiers in Neurology

Cortical signatures of auditory object binding in children with autism spectrum disorder are anomalous in concordance with behavior and diagnosis

Hari M. Bharadwaj, Fahimeh Mamashli, Sheraz Khan, Ravinderjit Singh, Robert M. Joseph, Ainsley Losh, Stephanie M. Pawlyszyn, Nicole M. McGuiggan, Steven Graham, Matti S. Hämäläinen, Tal Kenet 2022 PLoS Biology

Functional Significance of Human Resting-State Networks Hubs Identified Using MEG During the Transition From Childhood to Adulthood

Sheraz Khan, Javeria Ali Hashmi, Fahimeh Mamashli, Matti S. Hämäläinen, Tal Kenet 2022 Frontiers in Neurology

Matti Hämäläinen

Kontakuppgifter

Publikationer

Sex-related patterns in the electroencephalogram and their relevance in machine learning classifiers

Magnetoencephalography and electroencephalography can both detect differences in cortical responses to vibrotactile stimuli in individuals on the autism spectrum

Editorial: Magnetoencephalography: Methodological innovation paves the way for scientific discoveries and new clinical applications

Cortical signatures of auditory object binding in children with autism spectrum disorder are anomalous in concordance with behavior and diagnosis

Functional Significance of Human Resting-State Networks Hubs Identified Using MEG During the Transition From Childhood to Adulthood

Weighted Blind Source Separation Can Decompose the Frequency Mismatch Response by Deviant Concatenation: An MEG Study

A Novel Approach to Estimating the Cortical Sources of Sleep Spindles Using Simultaneous EEG/MEG

Source EEG reveals that Rolandic epilepsy is a regional epileptic encephalopathy

Altered maturation and atypical cortical processing of spoken sentences in autism spectrum disorder

Rapid computation of TMS-induced E-fields using a dipole-based magnetic stimulation profile approach