User profiles for S.M. Stufflebeam

Steven Stufflebeam

Associate Professor of Radiology, Harvard Medical School
Verified email at nmr.mgh.harvard.edu
Cited by 8222

Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates

FH Lin, T Witzel, SP Ahlfors, SM Stufflebeam… - Neuroimage, 2006 - Elsevier
Cerebral currents responsible for the extra-cranially recorded magnetoencephalography (MEG)
data can be estimated by applying a suitable source model. A popular choice is the …

Parcellating cortical functional networks in individuals

…, R Pan, T Qian, K Li, JT Baker, SM Stufflebeam… - Nature …, 2015 - nature.com
The capacity to identify the unique functional architecture of an individual's brain is a crucial
step toward personalized medicine and understanding the neural basis of variation in …

Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors

H Liu, SM Stufflebeam, J Sepulcre… - Proceedings of the …, 2009 - National Acad Sciences
Cerebral lateralization is a fundamental property of the human brain and a marker of successful
development. Here we provide evidence that multiple mechanisms control asymmetry …

3T phased array MRI improves the presurgical evaluation in focal epilepsies: a prospective study

…, G Wiggins, GP Kirk, PG Larsson, SM Stufflebeam… - Neurology, 2005 - AAN Enterprises
Background: Although detection of concordant lesions on MRI significantly improves postsurgical
outcomes in focal epilepsy (FE), many conventional MR studies remain negative. The …

Mapping the signal‐to‐noise‐ratios of cortical sources in magnetoencephalography and electroencephalography

…, M Ishitobi, LM Vaina, SM Stufflebeam - Human brain …, 2009 - Wiley Online Library
Although magnetoencephalography (MEG) and electroencephalography (EEG) have been
available for decades, their relative merits are still debated. We examined regional …

Quantitative analysis and biophysically realistic neural modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory-evoked responses

…, MA Sikora, SM Stufflebeam… - Journal of …, 2009 - journals.physiology.org
Variations in cortical oscillations in the alpha (7–14 Hz) and beta (15–29 Hz) range have
been correlated with attention, working memory, and stimulus detection. The mu rhythm …

Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation

A Molins, SM Stufflebeam, EN Brown, MS Hämäläinen - Neuroimage, 2008 - Elsevier
Source current estimation from electromagnetic (MEG and EEG) signals is an ill-posed problem
that often produces blurry or inaccurately positioned estimates. The two modalities have …

The value of multichannel MEG and EEG in the presurgical evaluation of 70 epilepsy patients

…, EA Thiele, AM Dale, BR Rosen, SM Stufflebeam - Epilepsy research, 2006 - Elsevier
OBJECTIVE: To evaluate the sensitivity of a simultaneous whole-head 306-channel
magnetoencephalography (MEG)/70-electrode EEG recording to detect interictal epileptiform activity …

Spectral spatiotemporal imaging of cortical oscillations and interactions in the human brain

…, AM Dale, JW Belliveau, SM Stufflebeam - Neuroimage, 2004 - Elsevier
This paper presents a computationally efficient source estimation algorithm that localizes
cortical oscillations and their phase relationships. The proposed method employs wavelet-…

Latency of the auditory evoked neuromagnetic field components: stimulus dependence and insights toward perception

TPL Roberts, P Ferrari, SM Stufflebeam… - Journal of clinical …, 2000 - journals.lww.com
This review will focus on investigations of the auditory evoked neuromagnetic field component,
the M100, detectable in the magnetoencephalogram recorded during presentation of …