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Electroencephalographic Inverse Localization of Brain Activity in Acute Clinical Neurology and Neurosurgery 115 (2013) 2159–2165 Contents lists available at ScienceDirect Clinical Neurology and Neurosurgery jou rnal homepage: www.elsevier.com/locate/clineuro Electroencephalographic inverse localization of brain activity in acute traumatic brain injury as a guide to surgery, monitoring and treatment a a a b Andrei Irimia , S.-Y. Matthew Goh , Carinna M. Torgerson , Nathan R. Stein , c b a,∗ Micah C. Chambers , Paul M. Vespa , John D. Van Horn a The Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, USA b Brain Injury Research Center, Department of Neurosurgery, University of California, Los Angeles, USA c Department of Neurology, University of California, Los Angeles, USA a r t i c l e i n f o a b s t r a c t Article history: Objective: To inverse-localize epileptiform cortical electrical activity recorded from severe traumatic brain Received 20 May 2013 injury (TBI) patients using electroencephalography (EEG). Received in revised form 24 July 2013 Methods: Three acute TBI cases were imaged using computed tomography (CT) and multimodal magnetic Accepted 4 August 2013 resonance imaging (MRI). Semi-automatic segmentation was performed to partition the complete TBI Available online 12 August 2013 head into 25 distinct tissue types, including 6 tissue types accounting for pathology. Segmentations were employed to generate a finite element method model of the head, and EEG activity generators were Keywords: modeled as dipolar currents distributed over the cortical surface. Electroencephalography Results: We demonstrate anatomically faithful localization of EEG generators responsible for epileptiform Traumatic brain injury Localization discharges in severe TBI. By accounting for injury-related tissue conductivity changes, our work offers Monitoring the most realistic implementation currently available for the inverse estimation of cortical activity in TBI. Outcome Conclusion: Whereas standard localization techniques are available for electrical activity mapping in Epilepsy uninjured brains, they are rarely applied to acute TBI. Modern models of TBI-induced pathology can inform the localization of epileptogenic foci, improve surgical efficacy, contribute to the improvement of critical care monitoring and provide guidance for patient-tailored treatment. With approaches such as this, neurosurgeons and neurologists can study brain activity in acute TBI and obtain insights regarding injury effects upon brain metabolism and clinical outcome. Published by Elsevier B.V. 1. Introduction Recent research on acute TBI pathophysiology has led to renewed interest in the potential use of cEEG to improve TBI Electroencephalography (EEG) plays an important role in the outcomes [3,9,10]. When combined with physiologically driven treatment of critically ill patients [1,2], in the monitoring of acute decision making via multimodal brain monitoring, EEG can aid neu- traumatic brain injury (TBI) [3,4] and in the preoperative plan- rointensivists to determine when the brain is at risk for injury and ning of epileptogenic focus removal [5–7]. The use of continuous whether clinical intervention is warranted to prevent permanent EEG (cEEG) is particularly important in the neurointensive care brain damage [11]. Unfortunately, though scalp EEG can provide treatment of patients with TBI and with status epilepticus, where much clinically useful information, its spatial resolution is too low cEEG can allow clinicians to determine treatment effectiveness in for the task of resolving the detailed spatial patterns of electric patients undergoing continuous infusion of antiseizure drugs [8]. activity in the hours and days following brain trauma. This makes The Neurocritical Care Society has suggested that cEEG, rather than it difficult to determine which specific brain locations exhibit TBI- serum drug levels, should guide therapy of refractory status epilep- related pathophysiology, which largely precludes the integration of ticus [8], which highlights the importance of this method in the EEG with structural neuroimaging methods such as magnetic reso- acute care of patients with epileptic seizures. nance imaging (MRI) and diffusion tensor imaging (DTI) to improve clinical decision making. In the context of the present article, inverse localization involves the process of computationally estimating the locations, orienta- ∗ Corresponding author at: The Institute for Neuroimaging and Informatics, Keck tions and strengths of the electric currents in the brain which School of Medicine, University of Southern California, 2001 North Soto Street, Room generate EEG signals. As a consequence of being a noninvasive 102, MC 9232, Los Angeles CA 90089-9235, USA. Tel.: +1 323 442 7246; method for identifying the sources of brain activity, EEG inverse fax: +1 323 442 7246. E-mail address: [email protected] (J.D. Van Horn). localization has been used extensively in the past to identify and 0303-8467/$ – see front matter. Published by Elsevier B.V. http://dx.doi.org/10.1016/j.clineuro.2013.08.003 2160 A. Irimia et al. / Clinical Neurology and Neurosurgery 115 (2013) 2159–2165 to study the neurophysiological correlates of phenomena such as 2. Materials and methods sleep, cognition and affect [12,13]. Given the past and present usefulness of EEG in the context of Participants included three males of ages 31, 25 and 45, respec- 3 acute TBI clinical care, the absence of neurological and neurosur- tively, from whom MRI volumes were acquired at 3.0 Tesla (1 mm gical insights derived from EEG inverse localization may equate to voxel size, Siemens Trio TIM Scanner, Erlangen, Germany) within missed opportunities to track acute injury evolution both spatially 72 h after injury. Although the Glasgow coma scale (GCS) scores and temporally, with possibly negative consequences upon the for- of the three patients upon admission to the neurointensive care mulation of treatment decisions for TBI patients. Thus far, the use unit (NICU) were 9, 14 and 14, respectively, their Glasgow out- of inverse localization methods in TBI has been extremely limited come scale (GOS) score upon transfer from the NICU was 3 for because standard source localization techniques can generate inac- all patients, reflecting the severity of their injuries as well as the curate results in the presence of pathology. The anatomy of the TBI decline of their clinical condition subsequent to hospital admis- head and the spatial variations in its conductivity have previously sion. The study was approved by the Institutional Review Board of been challenging to take into account, and EEG inverse localization the School of Medicine at the University of California, Los Ange- has been used very seldom in the TBI research community, let alone les, and signed informed consent was obtained from the patients’ the neurointensive care setting. legally authorized representatives prior to the performance of In this paper, we demonstrate the use of anatomically pre- any procedure (UCLA IRB approval #10-000929 dated 11/8/2012). cise models derived from multimodal MRI to localize epileptiform The three subjects are examples of TBI patients with progressive electrical activity recorded noninvasively from severe TBI patients lesion loads and were selected for the study based on (1) the using scalp EEG. Our contribution illustrates a realistic, patient- type, location and spatial extent of their lesions, as well as (2) specific approach to TBI source localization and the investigation the presence of epileptiform discharges in their cEEG recordings, itself can be appropriately conceptualized as a proof-of-concept as identified in the EEG recordings subsequent to their acquisition study to assess the feasibility of the implemented method. (see below). Fig. 1. Three-dimensional models of representative tissue types in three sample TBI patients. Models were generated in 3D Slicer [16] based on MRI volume segmentations. For each subject, the full model is shown in the first column (A), cross-sections through the head are shown in the second column (B), and TBI-related brain pathology is displayed in the third column (C). Each row corresponds to a patient. In (B), MRI T1 images are superposed onto each FEM model, and 3D models of subcortical structures, CSF and pathology are also shown available. Skin is omitted for convenience. Bone is shown in light brown, eyes in dark brown, gray matter in lilac, subcortical structures in purple, CSF in blue, edema in cyan and hemorrhage in red. A. Irimia et al. / Clinical Neurology and Neurosurgery 115 (2013) 2159–2165 2161 The TBI neuroimaging protocol is described extensively elsewhere [14]. Briefly, acquired MRI sequences included mag- netization prepared rapid acquisition gradient echo (MP-RAGE) T1-weighted imaging, fluid attenuated inversion recovery (FLAIR), turbo spin echo (TSE) T2-weighted imaging, gradient-recalled echo (GRE) T2-weighted imaging, and susceptibility weighted imaging (SWI). Conventional computed tomography (CT) scans were also acquired. Image alignment, bias field correction and skull stripping were performed using the LONI (Laboratory of Neuro Imaging) Pipeline (http://pipeline.loni.ucla.edu/). White matter (WM), gray matter (GM), cerebrospinal fluid (CSF), cere- bellar WM/GM and subcortical structures were segmented in FreeSurfer (FS) [15], and manual correction of tissue labeling errors was performed by three experienced users with train- ing in neuroanatomy. TBI-related lesions were segmented from
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