Temporal stability of intracranial electroencephalographic abnormality maps for localizing epileptogenic tissue
Objective Identifying abnormalities on interictal intracranial electroencephalogram (iEEG),
by comparing patient data to a normative map, has shown promise for the localization of …
by comparing patient data to a normative map, has shown promise for the localization of …
Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models
Brain network models derived from graph theory have the potential to guide functional
neurosurgery, and to improve rates of post-operative seizure freedom for patients with …
neurosurgery, and to improve rates of post-operative seizure freedom for patients with …
Interictal intracranial electroencephalography for predicting surgical success: The importance of space and time
Objective Predicting postoperative seizure freedom using functional correlation networks
derived from interictal intracranial electroencephalography (EEG) has shown some success …
derived from interictal intracranial electroencephalography (EEG) has shown some success …
Organizing principles of whole-brain functional connectivity in zebrafish larvae
RF Betzel - Network Neuroscience, 2020 - direct.mit.edu
Network science has begun to reveal the fundamental principles by which large-scale brain
networks are organized, including geometric constraints, a balance between segregative …
networks are organized, including geometric constraints, a balance between segregative …
iEEGview: an open-source multifunction GUI-based Matlab toolbox for localization and visualization of human intracranial electrodes
Objective. The precise localization of intracranial electrodes is a fundamental step relevant
to the analysis of intracranial electroencephalography (iEEG) recordings in various fields …
to the analysis of intracranial electroencephalography (iEEG) recordings in various fields …
Spatiotemporal integrity and spontaneous nonlinear dynamic properties of the salience network revealed by human intracranial electrophysiology: a multicohort …
The salience network (SN) plays a critical role in cognitive control and adaptive human
behaviors, but its electrophysiological foundations and millisecond timescale dynamic …
behaviors, but its electrophysiological foundations and millisecond timescale dynamic …
[HTML][HTML] Co-evolving dynamics and topology in a coupled oscillator model of resting brain function
Dynamic models of ongoing BOLD fMRI brain dynamics and models of communication
strategies have been two important approaches to understanding how brain network …
strategies have been two important approaches to understanding how brain network …
Network neuroscience and the connectomics revolution
RF Betzel - Connectomic deep brain stimulation, 2022 - Elsevier
Connectomics and network neuroscience offer quantitative scientific frameworks for
modeling and analyzing networks of structurally and functionally interacting neurons …
modeling and analyzing networks of structurally and functionally interacting neurons …
[HTML][HTML] Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
A major challenge in neuroscience is determining a quantitative relationship between the
brain's white matter structural connectivity and emergent activity. We seek to uncover the …
brain's white matter structural connectivity and emergent activity. We seek to uncover the …
[HTML][HTML] Identifying epileptogenic abnormality by decomposing intracranial EEG and MEG power spectra
Background Accurate identification of abnormal electroencephalographic (EEG) activity is
pivotal for diagnosing and treating epilepsy. Recent studies indicate that decomposing brain …
pivotal for diagnosing and treating epilepsy. Recent studies indicate that decomposing brain …