John M. Bernabei
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View article: White matter signals reflect information transmission between brain regions during seizures
White matter signals reflect information transmission between brain regions during seizures Open
The white matter of the brain is a dynamic and active tissue that coordinates brain function through the transmission and modulation of information between regions via action potentials. Although scientific and clinical interest in studyin…
View article: Modified Far Lateral Approach for a Fourth Ventricular Tumor with Cerebellopontine Angle Extension: An Illustrative Teaching Case
Modified Far Lateral Approach for a Fourth Ventricular Tumor with Cerebellopontine Angle Extension: An Illustrative Teaching Case Open
A 56-year-old female presented with several months of nausea, imbalance, and gait instability. Imaging demonstrated a fourth ventricular lesion extending toward the left cerebellopontine angle (CPA). Here we describe how a modified far lat…
View article: Normative intracranial EEG highlights epileptic abnormalities across wakefulness and sleep
Normative intracranial EEG highlights epileptic abnormalities across wakefulness and sleep Open
There is great interest in using quantitative methods to localize epileptic networks from intracranial EEG, a vital part of care for patients with drug resistant epilepsy (DRE). In particular, there is evidence that using interictal data f…
View article: The sixth sense: how much does interictal intracranial EEG add to determining the focality of epileptic networks?
The sixth sense: how much does interictal intracranial EEG add to determining the focality of epileptic networks? Open
Intracranial EEG is used for two main purposes: to determine (i) if epileptic networks are amenable to focal treatment and (ii) where to intervene. Currently, these questions are answered qualitatively and differently across centres. There…
The seizure severity score: a quantitative tool for comparing seizures and their response to therapy Open
Objective. Epilepsy is a neurological disorder characterized by recurrent seizures which vary widely in severity, from clinically silent to prolonged convulsions. Measuring severity is crucial for guiding therapy, particularly when complet…
View article: Quantifying interictal intracranial EEG to predict focal epilepsy.
Quantifying interictal intracranial EEG to predict focal epilepsy. Open
Quantitative, interictal IEEG significantly improved upon pre-implant estimates of network focality and predicted treatment with precision approaching that of clinical experts. We present this study as an important step in building standar…
View article: Quantifying interictal intracranial EEG to predict focal epilepsy
Quantifying interictal intracranial EEG to predict focal epilepsy Open
Intracranial EEG (IEEG) is used for 2 main purposes, to determine: (1) if epileptic networks are amenable to focal treatment and (2) where to intervene. Currently these questions are answered qualitatively and sometimes differently across …
Thalamic stereo-EEG in epilepsy surgery: where do we stand? Open
This scientific commentary refers to ‘Multisite thalamic recordings to characterize seizure propagation in the human brain’ by Wu et al. (https://doi.org/10.1093/brain/awad121).
Remote effects of temporal lobe epilepsy surgery: Long‐term morphological changes after surgical resection Open
Objective Epilepsy surgery is an effective treatment for drug‐resistant patients. However, how different surgical approaches affect long‐term brain structure remains poorly characterized. Here, we present a semiautomated method for quantif…
A pharmacokinetic model of antiseizure medication load to guide care in the epilepsy monitoring unit Open
Objective Evaluating patients with drug‐resistant epilepsy often requires inducing seizures by tapering antiseizure medications (ASMs) in the epilepsy monitoring unit (EMU). The relationship between ASM taper strategy, seizure timing, and …
View article: Quantitative approaches to guide epilepsy surgery from intracranial EEG
Quantitative approaches to guide epilepsy surgery from intracranial EEG Open
Over the past 10 years, the drive to improve outcomes from epilepsy surgery has stimulated widespread interest in methods to quantitatively guide epilepsy surgery from intracranial EEG (iEEG). Many patients fail to achieve seizure freedom,…
A quantitative tool for seizure severity: diagnostic and therapeutic applications Open
Objective More than one-third of the people with focal epilepsy do not achieve seizure freedom with medication, neuromodulation, or neurosurgery therapies. Palliative care with the goal of reducing epilepsy burden is an alternative for the…
A Taxonomy of Seizure Spread Patterns, Speed of Spread, and Associations With Structural Connectivity Open
Although seizure detection algorithms are widely used to localize seizure onset on intracranial EEG in epilepsy patients, relatively few studies focus on seizure activity beyond the seizure onset zone to direct treatment of surgical patien…
“Primed to Perform:” Dynamic white matter graph communicability may drive metastable network representations of enhanced preparatory cognitive control Open
Spontaneous neural activity has become increasingly linked to behavioral and cognitive output. A specific cognitive control mode, proactive control, uses prior information to plan and prepare the brain to be particularly sensitive to incom…
Addressing spatial bias in intracranial EEG functional connectivity analyses for epilepsy surgical planning Open
Objective. To determine the effect of epilepsy on intracranial electroencephalography (EEG) functional connectivity, and the ability of functional connectivity to localize the seizure onset zone (SOZ), controlling for spatial biases. Appro…
View article: Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing Open
Objective Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract this clinical information from unstructured text in clinical notes. …
Intracranial electroencephalographic biomarker predicts effective responsive neurostimulation for epilepsy prior to treatment Open
Objective Despite the overall success of responsive neurostimulation (RNS) therapy for drug‐resistant focal epilepsy, clinical outcomes in individuals vary significantly and are hard to predict. Biomarkers that indicate the clinical effica…
Normative intracranial EEG maps epileptogenic tissues in focal epilepsy Open
Planning surgery for patients with medically refractory epilepsy often requires recording seizures using intracranial EEG. Quantitative measures derived from interictal intracranial EEG yield potentially appealing biomarkers to guide these…
White Matter Signals Reflect Information Transmission Between Brain Regions During Seizures Open
White matter supports critical brain functions such as learning and memory, modulates the distribution of action potentials, and transmits neural information between brain regions. Notably, neuronal cell bodies exist in deeper white matter…
View article: A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring
A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring Open
BACKGROUND: Continuous electroencephalogram monitoring is associated with lower mortality in critically ill patients; however, it is underused due to the resource-intensive nature of manually interpreting prolonged streams of continuous el…
Synchronizability predicts effective responsive neurostimulation for epilepsy prior to treatment Open
Despite the success of responsive neurostimulation (RNS) for epilepsy, clinical outcomes vary significantly and are hard to predict. The ability to forecast clinical response to RNS therapy before device implantation would improve patient …
Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models Open
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 epilepsy. A barrier to applying these models clinically is that in…
Electrocorticography and stereo EEG provide distinct measures of brain connectivity: Implications for network models Open
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 epilepsy. A barrier to applying these models clinically is that in…
Remote effects of temporal lobe epilepsy surgery: long-term morphological changes after surgical resection Open
Objective We present a semi-automated method for quantifying structural changes after epilepsy surgery that accounts for tissue deformation caused by resection. We demonstrate its utility by comparing the remote structural effects of two s…
View article: RAMSES: A full-stack application for detecting seizures and reducing\n data during continuous EEG monitoring
RAMSES: A full-stack application for detecting seizures and reducing\n data during continuous EEG monitoring Open
Objective: Continuous EEG (cEEG) monitoring is associated with lower\nmortality in critically ill patients, however it is underutilized due to the\ndifficulty of manually interpreting prolonged streams of cEEG data. Here we\npresent a nove…
View article: RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring Open
Objective: Continuous EEG (cEEG) monitoring is associated with lower mortality in critically ill patients, however it is underutilized due to the difficulty of manually interpreting prolonged streams of cEEG data. Here we present a novel r…
View article: IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit
IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit Open
This work represents an important step toward facilitating translational medical data analytics to improve patient care and reduce health care costs.
View article: The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG
The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG Open
Network neuroscience applied to epilepsy holds promise to map pathological networks, localize seizure generators, and inform targeted interventions to control seizures. However, incomplete sampling of the epileptic brain because of sparse …
View article: Virtual resection predicts surgical outcome for drug-resistant epilepsy
Virtual resection predicts surgical outcome for drug-resistant epilepsy Open
Patients with drug-resistant epilepsy often require surgery to become seizure-free. While laser ablation and implantable stimulation devices have lowered the morbidity of these procedures, seizure-free rates have not dramatically improved,…