Nicole M. Gage, Ph.D.

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Magnetoencephalographic Estimates of Language Dominance in Surgical Patients Undergoing Awake Intra-Operative Language Mapping Nicole M. Gage, Ph.D. Department of Cognitive Sciences University of California, Irvine

A Collaborative Effort University of California, San Francisco Mitchel Berger, M.D. Timothy Roberts, Ph.D. Brain Center Scripps Clinic, La Jolla Shirley Otis, M.D. University of California, Irvine Gregory Hickok, Ph.D. University of Texas, Houston Andrew Papanicolaou,Ph.D. Panagiotis Simos, Ph.D. Joshua Breier, Ph.D.

Magnetic source imaging of late evoked field responses to speech: MEG Estimations of hemispheric dominance for language One goal of neuroimaging is to provide a non-invasive estimation of language laterality MEG provides the temporal resolution as well as the source localization necessary to assess hemispheric dominance for language M100 Late Auditory Evoked Field Time (ms) =>

Language is Not a Unitary System Comprised of multiple stages and areas of processing With many levels of processing from early speech perceptual systems for decoding the sound signal, lexical retrieval systems, syntactic analyses, emotional decoding, making contact with the conceptual knowledge systems To speech production systems

The Cortical Organization for Speech Perception and Language Processing Left Hemisphere Dominance for Language Classical works of Broca and Wernicke

pifg/dpm (left) articulatory-based speech codes Area Spt (left) auditory-motor interface STG (bilateral) acoustic-phonetic speech codes pitl (left) sound-meaning interface

What is the most useful approach for capturing the multimodal nature of language and the corresponding distribution of language subfunction?

MEG recording of neuromagnetic evoked fields is entirely non-invasive

Basic Principles of MEG Magnetic Fields Sources Orientation of Neurons Detection Device Liquid Helium SQUID Superconducting Coils Magnetic Field Recording Surface Magnetic Field Pattern Weak Field Model Right Left Strong Field Iso-Field Contours M100 Dipole

148 Channel Sensor Array Nose Sensor coils Left Right Magnetic Field Contour Map Left and Right Hemisphere Auditory Cortical Dipolar Activity

Auditory Evoked Neuromagnetic Field Nose M100 M50 Left Right M100 localizes to auditory cortex Right Left 0 100 200 Time (ms) M100 Dipole A prototype auditory evoked neuromagnetic field detected by MEG; 37 channels with y-scale representing evoked response magnitude in units of femtotesla (ft) are shown collapsed on the same horizontal time axis.

Hemispheric Asymmetries in Language Processing Neural mechanisms for early (~100 ms) sensory processing of phoneticallyrelevant features in speech sounds reflect largely symmetric levels of activity in the two hemispheres, with evidence for differential computation biases in left and right auditory cortical fields. Gage et al, 1998, Gage et al. 2002 MEG correlates of cerebral dominance for language: left-ward asymmetries in sustained focal activity in the late (250-400ms) fields in healthy adults and in neurosurgical patients with awake intra-operative language mapping. Bilateral Left Hemisphere

MEG Estimates of Language Dominance in Healthy Adults MEG late fields in 7 right handed adults with normal hearing and free of neurological damage Responses to simple speech sounds (vowels) are recorded simultaneously over left and right temporal lobes Sources of the recorded magnetic fields were modeled as single equivalent current dipoles (SECD) at 1-msec intervals Sustained focal activity (SECD) serves as the dependent measure Late Evoked Field Laterality Index LI = (N L -N R )/(N L + N R )

MEG Estimates of Language Dominance in Healthy Adults Results showed that late sustained activity was approximately twofold greater in the left hemisphere vs. the right in the time window 200-400 ms post stimulus onset. Source localizations were more focal in the left hemisphere, more distributed in the right Late Evoked Field Laterality Index LI = (N L -N R )/(N L + N R )

What is the most useful approach for estimating cortical language dominance in surgical patients?

Measures to Estimate Language Dominance in Pre-Surgical Patients WADA MEG MAPPING

What is the concordance among the measures estimating language dominance? WADA MEG MAPPING Sensitivity vs. Specificity

MEG Estimates of Language Dominance in Surgical Patients: Initial Study Goal: To determine whether the late neuromagnetic field elicited by simple speech sounds may be used to estimate hemispheric dominance for language and to guide or constrain the intra-operative search for essential language sites. Patients: 15 patients (14 right-handed, LH tumors, 1 left-handed, RH tumor) undergoing surgery with intra-operative language mapping 2 patients (left-handed, RH tumors) in whom intracarotid amobarbital testing confirmed right-hemisphere language dominance, without intraoperative language mapping

Waveforms of a patient prior to brain-surgery Existence of normal M100 Intraoperative brain mapping and result of surgery

MEG Estimates of Language Dominance in Surgical Patients: Initial Study MEG Results: In 14 right handed patients, 10 had displayed left asymmetries as estimated by MEG LI. Both right-hemisphere dominant patients displayed right asymmetries. MEG Laterality Indices for right handed patients MEG Laterality Index (LI) 1 0.8 0.6 0.4 0.2 0-0.2-0.4-0.6 M -0.8-1 1 2 3 4 5 6 7 8 9 10 11 12 13 14

Concordance Between Language Processing Sites Found through Presurgical MEG Mapping and Awake Intra-Operative Stimulation 14 right-handed patients: Intra-operative language sites were found for 7/14 patients. MEG LI s were leftward for 6 of these 7 cases. Of the 7 patients without language sites, MEG LI s were leftward for 4 patients, rightward for 3. 3 left-handed patients: No intra-operative sites were found for 1 patient with RH tumor, MEG LI could not be determined. Both patients without language mapping, with right hemisphere dominance by WADA, had MEG LI s that were rightward.

Comparison with Intra-operative Mapping MEG Intra-op mapping

Concordance Between Language Processing Sites Found through Presurgical MEG Mapping and Awake Intra-Operative Stimulation 14 right-handed patients: Intra-operative language sites were found for 7/14 patients. MEG LI s were leftward for 6 of these 7 cases. Of the 7 patients without language sites, MEG LI s were leftward for 4 patients, rightward for 3. X WADA MAPPING MEG

Estimates of Language Dominance in Surgical Patients: Follow-Up Study Subjects: 42 patients (right-handed, LH tumors) 5 patients (left-handed, 4 LH tumors with intracarotid amobarbital testing confirmed left-hemisphere language dominance) Methods: Passive listening to vowels Word Recognition Task

Language Mapping Paradigm Word Recognition Task Study (Pre MEG recording) -- Listen to 33 target words intellect essence quality devotion belief Test (during MEG recording) Listen to 43 words (33 targets + 10 distracters) Task: Identify New, Old words

Concordance Between Language Processing Sites Found through Pre-surgical MEG Mapping and Awake Intra-Operative Stimulation MEG late fields -- sources of focal sustained activity in each hemisphere are coregistered onto patients structural MR images Results of intra-operative stimulation (locations of speech arrest, anomia) are registered onto Stealth MR images LH RH

LH RH Concordance Between Language Processing Sites Found through Pre-surgical MEG Mapping and Awake Intra-Operative Stimulation 309-317 ms 323-327 ms J Neurosurgery 2001 261-273 ms

MEG Language Mapping Protocol Brain Center Scripps Clinic, La Jolla Focal activity in MEG late evoked field provides a provides non-invasive estimate of language dominance in pre-surgical patients Passive protocol may be used with young children and patients unable to perform the more complex task Dipole cluster analyses improves sensitivity of measure Late Evoked Field