Dr. Ahlfor's research focuses on non-invasive neuroimaging --- in particular, the analysis and interpretation of magnetoencephalography (MEG) signals. He has developed methodologies for multimodal integration of MEG, electroencephalography (EEG) and structural and functional magnetic resonance im...
Search Results: MEG%2FEEG source localization
Matti Hämäläinen
Matti Hämäläinen is a Professor of Radiology at Harvard Medical School and Director of the David Cohen Magnetoencephalography (MEG) Laboratory at the Department of Radiology, Massachusetts General Hospital. He is one of the pioneers in the application of MEG in conjunction with other non-invasive...
Mainak Jas
Dr. Jas completed his PhD from Telecom ParisTech. His thesis focused on automating MEG/EEG analysis pipelines. He is a proponent of open and reproducible science. He has been a key contributor to several open source neuroimaging tools: most notably MNE-Python, MNE-BIDS, and HNN-core. He develope...
Steven Stufflebeam
Steven Stufflebeam, MD, translates basic science and advanced imaging technology into everyday clinical practice. His laboratory aims to improve the health care for patients with epilepsy, schizophrenia, brain tumors and hearing impairments. His training is in biomedical engineering, mathematics ...
Dara Manoach
Dr. Manoach is a clinically licensed neuropsychologist and an experimental psychologist by training. She has dedicated her career to understanding the neural basis and nature of fundamental cognitive deficits in neuropsychiatric disorders, particularly schizophrenia and autism. Although sleep pla...
Jason Stockmann
Jason Stockmann, PhD, is broadly interested in magnetic resonance imaging hardware and acquisition methods for improving data quality for both structural and functional imaging. He has worked on diverse MRI scanners ranging in field strength by two orders of magnitude, from low-field (80 mT) to u...
Sheraz Khan
Dr. Sheraz Khan is an Instructor (Research Faculty) at Massachusetts General Hospital (MGH), Harvard Medical School and Massachusetts Institute of Technology (MIT). He has developed novel signal processing methods for understanding neural underpinnings of autism. His publications, including Khan ...
Noam Peled
I have a broad background in neuroimaging, with specific training and expertise in analyzing and visualization of multi-modality neuroimaging datasets. I received my Ph.D. degree in machine learning and games theory from Bar-Ilan University in 2014, and in 2015 I started my position as a research...
Jyrki Ahveninen
Dr. Ahveninen's mission is to apply novel and improved techniques to achieve more accurate estimates of human brain function than previously achieved. His work focuses on neuroimaging of human auditory system, auditory working memory and higher-order auditory cognition using techniques including ...
Jayashree Kalpathy-Cramer
Dr. Kalpathy-Cramer is an Associate Professor of Radiology at Harvard Medical School, Co-Director of the QTIM lab and the Center for Machine Learning at the Athinoula A. Martinos Center and Scientific Director at the MGH & BWH Center for Clinical Data Science. Her research areas include machi...
Bruce Rosen
Bruce Rosen, MD, PhD, is Director of the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and the Laurence Lamson Robbins Professor of Radiology at Harvard Medical School. He received his MD degree from Hahnemann Medical College in Philadelphia in 1982 and his...
Maria Mody
Maria Mody, PhD, is a cognitive neuroscientist specializing in neuroimaging of communication abilities in children and adults, with a focus on autism and dyslexia.The goal of her research is to identify core behaviors in developmental disorders of speech and language and the underlying neural mec...
Nouchine Hadjikhani
Nouchine Hadjikhani, MD, PhD, is an Associate Professor of Radiology at Harvard Medical School, where she directs the Neurolimbic Research Laboratory. She is also an Assistant in Neurosciences at the Massachusetts General Hospital and a visiting professor at GNC, Gothenburg University, Sweden. Sh...
Kestas Kveraga
Dr. Kveraga is a cognitive neuroscientist who studies the neural mechanisms of threat perception from naturalistic stimuli, with strong interests in visual pathway function and autism. He is also interested in neural aesthetics and how brain activity can be employed to predict and shape architect...
Tommi Raij
Dr. Raij is a researcher currently serving as the Director of Transcranial Magnetic Stimulation (TMS) Clinical Research at the Martinos Center. He aims to understand the human brain mechanisms and improve the treatment of psychiatric and neurological disease, such as depression, schizophrenia, co...
Anastasia Yendiki
Dr. Anastasia Yendiki's background is in statistical signal and image processing. She received a PhD in Electrical Engineering: Systems from the University of Michigan at Ann Arbor, where she worked on inverse problems in tomographic reconstruction for nuclear imaging under the supervision of Jef...
David Salat
The overarching aim of Dr. Salat's work is to understand mechanisms of neural disease and to implement novel approaches to reduce the impact of disease on the brain, cognition and clinical status. Clinically, there are two main clinical foci to his research. At the MGH Martinos Center, he directs...
Kenneth Kwong
Kenneth Kwong, PhD, has been conducting magnetic resonance imaging (MRI) research for more than 30 years with expertise in diffusion (R.1), functional imaging (R.2) and perfusion imaging (R.3). He was one of the earliest researchers to explore MR diffusion imaging of healthy subjects and patients...
Shasha Li
Shasha Li, M.D., Ph.D., joined the faculty at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) with the goal of improving the understanding of the physiological implications of altered neural networks in neurological diseases. She has made substantial contributions to the fie...
Lilianne Mujica-Parodi
Lilianne R. Mujica-Parodi is Director of the Laboratory for Computational Neurodiagnostics (LCNeuro). LCNeuro's research focuses on the application of control systems engineering and dynamical systems to imaging-derived time series, at all scales: from human fMRI, M/EEG, fNIRS to rodent LFP and c...