10 papers · ranked by Valyu relevance
Christopher F.A. Benjamin, Alexa X Li, Hal Blumenfeld, R Todd Constable + 11 more
The goal of this study was to document current clinical practice and report patient outcomes in presurgical language functional MRI (fMRI) for epilepsy surgery. Epilepsy surgical programs worldwide were surveyed as to the utility, implementation, and efficacy of language fMRI in the clinic; 82 programs responded…
Christopher F. A. Benjamin, Isha Dhingra, Alexa X Li, Hal Blumenfeld + 11 more
Little is known about how language functional MRI (fMRI) is executed in clinical practice in spite of its widespread use. Here we comprehensively documented its execution in surgical planning in epilepsy. A questionnaire focusing on cognitive design, imaging acquisition, analysis and interpretation and practical…
Martin Wegrzyn, Markus Mertens, Christian G. Bien, Friedrich G. Woermann + 1 more
In epilepsy patients, language lateralisation is an important part of the presurgical diagnostic process. Using task-based fMRI, language lateralisation can be determined by visual inspection of activity patterns or by quantifying the difference in left- and right-hemisphere activity using variations of a basic formula…
Henning U. Voss, Kyung K. Peck, Nicole M. Petrovich Brennan, Andrei I. Holodny
Preoperative functional MRI (fMRI) is limited by a muted BOLD response caused by abnormal vasoreactivity and resultant neurovascular uncoupling adjacent to malignant brain tumors. We propose to overcome this limitation and more accurately identify eloquent areas adjacent to brain tumors by independently assessing…
Oscar Esteban, Christopher J. Markiewicz, Ross W. Blair, Craig A. Moodie + 12 more
Preprocessing of functional MRI (fMRI) involves numerous steps to clean and standardize data before statistical analysis. Generally, researchers create ad hoc preprocessing workflows for each new dataset, building upon a large inventory of tools available for each step. The complexity of these workflows has snowballed…
Lucy Liang, Isabela Zimmermann Rollin, Aydin Alikaya, Jonathan C. Ho + 7 more
We present a compact MRI-compatible stereotaxic frame for large nonhuman primates. The design is 3D printable, inexpensive, and matches size of an adult human head. Enabled real-time, accurate, MRI-guided deep-brain viral vector injection. Facilitated multimodal alignment for deep-brain electrophysiology planning. All…
Shuai Ye, Anto Bagić, Bin He
Resting state electromagnetic recordings have been analyzed in epilepsy patients aiding presurgical evaluation. However, it has been rarely explored how pathological networks can be separated and thus used for epileptogenic focus localization purpose. We proposed here a resting state EEG/MEG analysis framework, to…
Mark M. McAvoy, Lei Liu, Ruiwen Zhou, Benjamin A. Philip
Numerous methods exist to analyze functional MRI (fMRI) data, but no software currently exists to integrate the commonly-used FSL statistical analysis software with alternative preprocessing methods from the Human Connectome Project. Here we developed the Connectome Operations For FSL ExEcution (COFFEE) pipeline to…
Luis Garcia Dominguez, Apameh Tarazi, Taufik Valiante, Richard Wennberg
Surgical treatment of drug-resistant temporal lobe epilepsy (TLE) depends on proper identification of the seizure onset zone (SOZ), and differentiation of mesial, temporolimbic seizure onsets from temporal neocortical seizure onsets. Non-invasive source imaging using electroencephalography (EEG) and…
Anirban Dutta, Anil Kamat, Basiel Makled, Jack Norfleet + 2 more
Functional brain connectivity using functional near-infrared spectroscopy (fNIRS) during a pattern cutting (PC) task was investigated in physical and virtual simulators. 14 right-handed novice medical students were recruited and divided into separate cohorts for physical (N=8) and virtual (N=6) PC training. Functional…