Localizing Epileptic Networks Using MRI and iEEG

NCT ID: NCT04649008

Last Updated: 2026-02-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

EARLY_PHASE1

Total Enrollment

290 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-03-01

Study Completion Date

2027-02-28

Brief Summary

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Upon successful completion of this study, the investigators expect the study's contribution to be the development of noninvasive imaging biomarkers to predict IEEG functional dynamics and epilepsy surgical outcomes. Findings from the present study may inform current and new therapies to map and alter seizure spread, and pave the way for less invasive, better- targeted, patient-specific interventions with improved surgical outcomes. This research is relevant to public health because over 20 million people worldwide suffer from focal drug-resistant epilepsy and are potential candidates for cure with epilepsy surgical interventions.

Detailed Description

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Despite recent advances in neuroimaging, approximately 2/3 of intractable epilepsy patients that undergo surgical evaluation continue to require intracranial EEG (IEEG), arguably the most invasive diagnostic test in medicine. Clinicians currently lack methods to quantitatively map noninvasive imaging measures of structure and function to IEEG. Specifically, there is a critical need to validate whole-brain noninvasive neuroimaging network- based biomarkers to guide precise placement of electrodes and translate noninvasive network neuroimaging to change the paradigms of clinical care. The long-term goal of this study is to predict IEEG functional dynamics and surgical outcomes using noninvasive MRI-based measures of structure and function. The investigators' overall objective, which is the next step toward attaining the study's long-term goal, is to develop open-source noninvasive imaging tools that map epileptic networks by integrating MRI and IEEG data. The central hypothesis is that noninvasive measures of structure and function relate to and can predict the intricate functional dynamics captured on IEEG. The central hypothesis will be tested in patients undergoing IEEG targeting the temporal lobe network by pursuing three specific aims: 1) To map the patient specific structural connectome to IEEG seizure onset and propagation, 2) To correlate seizure onset and propagation on IEEG with network measures derived from resting state functional MRI (rsfMRI), and 3) To integrate the structural (Aim 1) and functional (Aim 2) connectome with standard qualitative clinical data to predict IEEG network dynamics and surgical outcomes. Under the first aim patients will undergo diffusion tensor imaging (DTI) prior to stereotactic IEEG, an IEEG method that inherently samples long range networks. The functional IEEG network will be mapped to DTI thus defining how seizures are constrained by the underlying structural connectome as they propagate. Under the second aim patients with temporal lobe epilepsy will undergo rsfMRI on 7T MRI prior to stereotactic IEEG. Functional network measures from rsfMRI and IEEG will be coregistered and rsfMRI will be used to predict functional EEG ictal and interictal networks. In the third aim two models predicting IEEG network dynamics and epilepsy surgical outcomes will be created building off of methods developed in Aims 1 and 2. This research is innovative because it represents a substantive departure from the status quo by directly connecting noninvasive multimodal imaging with measures of functional network dynamics in IEEG. This research is also significant because it is expected that successful completion of these aims will yield personalized strategies for IEEG targeting based on noninvasive neuroimaging.

Conditions

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Epilepsy Epilepsy Intractable Epilepsy, Temporal Lobe

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Epilepsy patient volunteers

Patients recruited for the study with intractable epilepsy who are anticipated to undergo epilepsy surgery

Group Type EXPERIMENTAL

3T Magnetic Resonance Imaging

Intervention Type DIAGNOSTIC_TEST

Magnetic resonance imaging acquired at a field strength of 3 Tesla.

Intracranial electroencephalography recordings

Intervention Type DIAGNOSTIC_TEST

Epilepsy patients may undergo implantation of intracranial electroencephalography (iEEG) electrodes for localization of epileptogenic foci, which also provide a means to record localized brain activity during memory or other tasks for research purposes.

7T Magnetic Resonance Imaging

Intervention Type DIAGNOSTIC_TEST

Magnetic resonance imaging acquired at a field strength of 7 Tesla.

Interventions

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3T Magnetic Resonance Imaging

Magnetic resonance imaging acquired at a field strength of 3 Tesla.

Intervention Type DIAGNOSTIC_TEST

Intracranial electroencephalography recordings

Epilepsy patients may undergo implantation of intracranial electroencephalography (iEEG) electrodes for localization of epileptogenic foci, which also provide a means to record localized brain activity during memory or other tasks for research purposes.

Intervention Type DIAGNOSTIC_TEST

7T Magnetic Resonance Imaging

Magnetic resonance imaging acquired at a field strength of 7 Tesla.

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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3T MRI Intracranial EEG recordings 7T MRI

Eligibility Criteria

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Inclusion Criteria

* Patients with medication-refractory epilepsy
* Planned intracranial EEG (IEEG) placement
* Hypothesized to have temporal lobe epilepsy

Exclusion Criteria

* Contraindication to 3T MRI (e.g. metal implants or claustrophobia), clinical features that typically preclude the use of IEEG (e.g. pregnancy), prior intracranial surgery or device, and IEEG findings that are non-diagnostic (e.g. seizure onset zone(s) not identified)
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Medical University of South Carolina

OTHER

Sponsor Role collaborator

University of Pennsylvania

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Kathryn A Davis, MD, MSTR

Role: PRINCIPAL_INVESTIGATOR

University of Pennsylvania

Locations

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University of Pennsylvania

Philadelphia, Pennsylvania, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Kathryn A Davis, MD, MSTR

Role: CONTACT

215-349-5166

Facility Contacts

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Carolyn Wilkinson, BSN

Role: primary

215-746-4850

References

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Mathern GW. Challenges in the surgical treatment of epilepsy patients with cortical dysplasia. Epilepsia. 2009 Oct;50 Suppl 9:45-50. doi: 10.1111/j.1528-1167.2009.02294.x.

Reference Type BACKGROUND
PMID: 19761453 (View on PubMed)

Wolf RL, Alsop DC, Levy-Reis I, Meyer PT, Maldjian JA, Gonzalez-Atavales J, French JA, Alavi A, Detre JA. Detection of mesial temporal lobe hypoperfusion in patients with temporal lobe epilepsy by use of arterial spin labeled perfusion MR imaging. AJNR Am J Neuroradiol. 2001 Aug;22(7):1334-41.

Reference Type BACKGROUND
PMID: 11498422 (View on PubMed)

Jette N, Wiebe S. Update on the surgical treatment of epilepsy. Curr Opin Neurol. 2013 Apr;26(2):201-7. doi: 10.1097/WCO.0b013e32835ef345.

Reference Type BACKGROUND
PMID: 23449171 (View on PubMed)

Wiebe S. Epilepsy. Outcome patterns in epilepsy surgery--the long-term view. Nat Rev Neurol. 2012 Jan 31;8(3):123-4. doi: 10.1038/nrneurol.2012.9.

Reference Type BACKGROUND
PMID: 22290572 (View on PubMed)

de Tisi J, Bell GS, Peacock JL, McEvoy AW, Harkness WF, Sander JW, Duncan JS. The long-term outcome of adult epilepsy surgery, patterns of seizure remission, and relapse: a cohort study. Lancet. 2011 Oct 15;378(9800):1388-95. doi: 10.1016/S0140-6736(11)60890-8.

Reference Type BACKGROUND
PMID: 22000136 (View on PubMed)

Widdess-Walsh P, Diehl B, Najm I. Neuroimaging of focal cortical dysplasia. J Neuroimaging. 2006 Jul;16(3):185-96. doi: 10.1111/j.1552-6569.2006.00025.x.

Reference Type BACKGROUND
PMID: 16808819 (View on PubMed)

Tassi L, Colombo N, Garbelli R, Francione S, Lo Russo G, Mai R, Cardinale F, Cossu M, Ferrario A, Galli C, Bramerio M, Citterio A, Spreafico R. Focal cortical dysplasia: neuropathological subtypes, EEG, neuroimaging and surgical outcome. Brain. 2002 Aug;125(Pt 8):1719-32. doi: 10.1093/brain/awf175.

Reference Type BACKGROUND
PMID: 12135964 (View on PubMed)

Raybaud C, Shroff M, Rutka JT, Chuang SH. Imaging surgical epilepsy in children. Childs Nerv Syst. 2006 Aug;22(8):786-809. doi: 10.1007/s00381-006-0132-5. Epub 2006 Jul 13.

Reference Type BACKGROUND
PMID: 16838193 (View on PubMed)

Colombo N, Tassi L, Galli C, Citterio A, Lo Russo G, Scialfa G, Spreafico R. Focal cortical dysplasias: MR imaging, histopathologic, and clinical correlations in surgically treated patients with epilepsy. AJNR Am J Neuroradiol. 2003 Apr;24(4):724-33.

Reference Type BACKGROUND
PMID: 12695213 (View on PubMed)

Detre JA, Sirven JI, Alsop DC, O'Connor MJ, French JA. Localization of subclinical ictal activity by functional magnetic resonance imaging: correlation with invasive monitoring. Ann Neurol. 1995 Oct;38(4):618-24. doi: 10.1002/ana.410380410.

Reference Type BACKGROUND
PMID: 7574458 (View on PubMed)

Verma G, Woo JH, Chawla S, Wang S, Sheriff S, Elman LB, McCluskey LF, Grossman M, Melhem ER, Maudsley AA, Poptani H. Whole-brain analysis of amyotrophic lateral sclerosis by using echo-planar spectroscopic imaging. Radiology. 2013 Jun;267(3):851-7. doi: 10.1148/radiol.13121148. Epub 2013 Jan 29.

Reference Type BACKGROUND
PMID: 23360740 (View on PubMed)

Maudsley AA, Domenig C, Ramsay RE, Bowen BC. Application of volumetric MR spectroscopic imaging for localization of neocortical epilepsy. Epilepsy Res. 2010 Feb;88(2-3):127-38. doi: 10.1016/j.eplepsyres.2009.10.009. Epub 2009 Nov 17.

Reference Type BACKGROUND
PMID: 19926450 (View on PubMed)

Dlugos D, Worrell G, Davis K, Stacey W, Szaflarski J, Kanner A, Sunderam S, Rogawski M, Jackson-Ayotunde P, Loddenkemper T, Diehl B, Fureman B, Dingledine R; Epilepsy Benchmark Stewards. 2014 Epilepsy Benchmarks Area III: Improve Treatment Options for Controlling Seizures and Epilepsy-Related Conditions Without Side Effects. Epilepsy Curr. 2016 May-Jun;16(3):192-7. doi: 10.5698/1535-7511-16.3.192. No abstract available.

Reference Type BACKGROUND
PMID: 27330452 (View on PubMed)

Khambhati AN, Davis KA, Lucas TH, Litt B, Bassett DS. Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution. Neuron. 2016 Sep 7;91(5):1170-1182. doi: 10.1016/j.neuron.2016.07.039. Epub 2016 Aug 25.

Reference Type BACKGROUND
PMID: 27568515 (View on PubMed)

Study Documents

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Document Type: Individual Participant Data Set

View Document

Other Identifiers

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819126

Identifier Type: -

Identifier Source: org_study_id

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