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PreviousNext
Research ArticleResearch Article: New Research, Disorders of the Nervous System

Interictal Gamma Event Connectivity Differentiates the Seizure Network and Outcome in Patients after Temporal Lobe Epilepsy Surgery

Mohamad Shamas, Hsiang J. Yeh, Itzhak Fried, Jerome Engel and Richard Staba
eNeuro 23 November 2022, 9 (6) ENEURO.0141-22.2022; https://doi.org/10.1523/ENEURO.0141-22.2022
Mohamad Shamas
David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095
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Hsiang J. Yeh
David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095
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Itzhak Fried
David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095
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Jerome Engel
David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095
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Richard Staba
David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095
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Figures

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  • Figure 1.
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    Figure 1.

    EEG analysis pipeline. A, Unfiltered intracerebral EEG signals are bandpass filtered to extract spectral frequencies in theta ( θ), low gamma(Lγ ), or high gamma bands (Hγ) . Functional coupling between a pair of channels (chx, chy) is illustrated in second row. A frequency-dependent time interval L (30 s for Hγ , 60 s for Lγ , and 5 min for θ) is chosen, and from the signals on chx and chy, the local event’s amplitude maxima ei (i = 1 … n) in L are detected (represented in red traces). For each ei in chx, the lead or lag in relation to events in chy within time interval [–T, T] is quantified in a peri-event histogram (bottom left). The distribution of the histogram is evaluated using Shannon entropy, and a low entropy value is an indication of a peak in the histogram, which represents the strength of functional coupling for every pair of channels in the connectivity matrix (bottom right). Patients with 2-kHz sampling rate (N = 15) and those with 200-Hz sampling rate (N = 28) were both used in this study, refer to Extended Data Figure 1-1 for detailed justification. B, Spikes are detected from unfiltered interictal data using an automatic detector based on signal whitening. The gray boxes show the detected spikes on different channels. For every pair of contact coupling strength is computed as a rate of the sum of spikes on each channel divided by the recording duration in minutes. C, Statistical model includes EEG recordings to generate functional connectivity matrix (black box) and the spikes matrix (red box), patients information and test results to assess seizure onset zone (SOZ), surgery outcome, and other measures (e.g., seizure frequency), and CT scans co-registered to MRI scans to localize electrode contacts, group contacts with respect to brain region (green box), and calculate the distance between each pair of contacts to generate distance matrices (red box). Ipsilateral and contralateral grouping was ignored (see Extended Data Fig. 1-2).

  • Figure 2.
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    Figure 2.

    High gamma event coupling in the SOZ and different brain regions. A, Examples of connectivity matrices of high gamma event coupling (HGEC) for patient 13 who was seizure-free (SF) and patient 19 who was not seizure-free (not-SF). The matrices are organized with respect to SOZ. If both electrode contacts are in SOZ, then the connectivity value is part of the SOZ, if both contacts are outside SOZ, then it is part of the NSOZ (complement), otherwise it is between the SOZ and NSOZ. The lower row illustrates HGEC organized by brain region (M: mesial temporal, L: lateral temporal, E: extratemporal). B, Violin plot and box plot (inside) shows the distribution, median and interquartile range of HGEC values for patients 13 and 19 with respect to SOZ (top rows) f and brain regions (bottom rows). In most cases, HGEC is stronger in patient 13 than patient 19. Check Extended Data Figure 2-1 for GEC matrices of all patients.

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    Figure 3.

    Connectivity strength in relation to seizure outcome and SOZ interaction. A–C, Violin plots that show HGEC, LGEC, and TEC in relation to SOZ and seizure outcome (SF upper row, NSF lower row). The significant differences (p < 0.05) are marked by asterisks (*). Results for level 1 interactions between connectivity and either zones or outcome are depicted in Extended Data Figure 3-1.

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    Figure 4.

    Connectivity strength in relation to seizure outcome, brain Regions and SOZ. A, Violin plots show HGEC values in relation to SOZ and brain region (columns; abbreviations same as Fig. 2) for all patients. B, Violin plots show LGEC values in relation to SOZ (upper row), NSOZ (lower row), and brain regions (columns) for all patients. C, Violin plots show ThEC values in relation to NSOZ and brain regions (columns) for all patients. Seizure-free patients were shaded white and not seizure-free outcome were shaded black. The significant differences (p < 0.05) are marked by asterisks (*).

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    Figure 5.

    Correlation between HGEC and interictal spike rate and electrode distance. A, B, Scatter plots illustrating HGEC in relation to spike rate (A) and electrode contact distance (B). Values are represented as normalize z scores. C, Specific examples of high (top) and low (bottom) correlation between spike rate and HGEC. The vertical bar to the right shows the percentage correlation coefficients for all patients. High r > 0.5 (shaded green), medium 0.25 < r < 0.5 (red), and low correlation r < 0.25 (blue). In most patients, the correlation between spike rate and HGEC was low. D, Same as panel C but correlation with electrode distance. In most patients, there was a high correlation between electrode distance and HGEC, i.e., as electrode distance decreases, HGEC increases. All correlations shown had a p < 0.0001.

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    Figure 6.

    Comparing event connectivity in three frequency bands. A, Violin plots show median Euclidean distance between pairs of contacts in relation to SOZ (abbreviation same as Fig. 2) and seizure outcome for all patients (abbreviation and shading same as Fig. 4). B, Violin and box plots of correlation coefficient between electrode distance and strength of functional coupling in high gamma(Hγ ), low gamma(Lγ) , and theta (θ) frequency bands in all zones and regions. Note that each patient has one correlation value, i.e., the violin plots are for 43 points each. C, The decay constant ( τ) of the exponential decay model [EC = A*exp(- τ*d)] relating the variation of event coupling strength (EC) of different frequency bands (Hγ , Lγ , θ) with the distance (d) between channels is illustrated in form of violin plots each representing 43 patients. See Extended Data Figure 6-1, which illustrates the difference between slow and fast decays. D, Coupling strength for Hγ , Lγ , and θ are compared; p < 0.05 denoted by asterisks (*).

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    Figure 7.

    Average high gamma event connectivity (HGEC) as a function of (A) epilepsy duration, (B) seizure frequency, (C) patients age, (D) type of surgery, and (E) presence of an MRI lesion. Extended Data Figure 7-1 gives examples of different types of MRI abnormalities.

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    Figure 8.

    Relating connectivity to neuronal circuits mechanisms. A, A schematic illustrating brain regions involved in generating seizures (red dots) or those not involved (green dots). Clinically-defined seizure onset zone (SOZ; shaded orange) and not seizure onset zone (NSOZ; shaded blue). In an ideal seizure outcome, i.e., seizure free, all regions involved in generating a seizure are in the SOZ. The synchrony between brain regions is illustrated as connections (black lines), and a greater number of lines indicates greater synchrony. In not seizure-free patients, the SOZ is incompletely identified and a portion of the NSOZ contains regions involved in generating seizures. B, Prediction of the differences in the event connectivity when the strength of connectivity corresponds with increased synchronous inhibitory activity (blue dots and black lines) that is proportional to increased synchronous excitatory activity (red triangles and green lines). An assumption is greater synchrony associated with brain regions involved in generating seizures, which leads to the following predictions: (1) in seizure-free (SF) patients, stronger connectivity in SOZ than NSOZ; (2) in not seizure-free (NSF) patients, little or no difference in connectivity between SOZ and NSOZ; and (3) stronger connectivity in the NSOZ of NSF than SF patients. Results from our analysis are presented as three squares for each frequency band (theta = θ, low gamma = LG, high gamma = HG), which are colored red and white for actual results that are consistent or inconsistent, respectively, with the aforementioned predictions.

Tables

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    Table 1

    Intracerebral electrodes positions in all 43 patients

    Temporal
    lobe
    Frontal
    lobe
    Cingulate
    cortex
    Parietal
    lobe
    Occipital
    lobe
    PatientAECMHAHPHPHGSTGTPPTFGOFSMAFPFOFSSACMCPCIPAPPTBSGOTO
    1RLRLRLRL
    2RLRRRLRRR
    3RLLLRLLR
    4RLRLRLRLRL
    5RLRRLRLRL
    6RLRLRLRL
    7RLRRLRRLRR
    8RLRLRLRLRLRL
    9LLRLLLRLL
    10RLRRLRRLR
    11RLRLRLRLRLRL
    12RLRLRLRLRLRL
    13RLRLRLRLRL
    14RRLRLRL
    15RLRLRLRLRLL
    16RLRLRLRLRL
    17RRLRLRRL
    18RLRLRLRL
    19RRRRRRL
    20RLRLRLRLRL
    21RLRLRLRLRL
    22LRLRLRL
    23RLRLRLRLRL
    24RRLRLRLRLRR
    25RLLRLLRLLRL
    26RRLRLRRLR
    27RLRLRRRL
    28RLRLRLRLLLL
    26RRLLRLRRL
    27RLRLRLRLRR
    31RRLRRRRR
    28LRLLRRLLR
    29RLRLRLRLRL
    30LRLRLLLLL
    31RLRLRLLLL
    36LLRLRRLRL
    32RLRLRLRLRL
    38RLRLRRLRLRL
    34RLRLLRLRR
    40LRLRLL
    41LRLRRR
    42RRLRRRRR
    43RLRLRLRRLRL
    • TP = temporal pole, FP = frontal pole, A = amygdala, OF = orbitofrontal, EC = entorhinal cortex, F = frontal lobe, AH = anterior hippocampus, FO = frontal operculum, MH = middle hippocampus, AC = anterior cingulate, PH = posterior hippocampus, MC = middle cingulate, PHG = parahippocampal gyrus, PC = posterior cingulate, FG = fusiform gyrus, SMA = supplementary motor area, PT = posterior temporal, SS = supra-sylvian, STG = superior temporal gyrus, AP = anterior parietal lobe, IP = inferior parietal lobe, SG = supramarginal gyrus, PTB = parietal-temporal border, O = occipital lobe, OT = occipital-temporal border, R: Right, L: Left.

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    Table 2

    Validating spike detector results

    PatientSpiking sitesDetector highest 5% electrodesPercentage
    1RAH1-3, RA1-3, REC1-3, RPHG1-3, LA1-3RAH1, RAH 2, REC 1100%
    4RA1-3, REC1-3, RAH1-3, RPHG1-3, LA1-3, LEC1-3, LAH1-3, LPHG1-3RA1, RA2, LAH2, LAH3, LAH1100%
    5RAH1-3, RA1-3, RPH1-3, LAH1-3, REC1-3RPH3, RAH3, RA2, ROF375%
    7RA5-6, REC5-6, RAH1-6, RPHG3-6, RSTGP2-3, RMC1-4, LAH1-2RA2, RAH1, RAH2, RPHG6, RPSTG2,
    REC2, RAH5
    70%
    8LA3-4, LAH1-2, LEC1-4, RA1-2, RAH1-2RAH1, LEC1, REC1, REC2, RAH260%
    11LAH1-3, LA1-3, LEC1-3, RAH1-3, RA1 3, REC1-3RA7, REC3, LEC 1, REC1, LAH380%
    14LEC1-3, LMH1-3LEC1, LEC2, LMH1, LA175%
    15REC4-5, RMH1-2, LEC1-2, LMH1-2REC5, LEC3, RMH166%
    16RA1-7, RAH1-4, REC1-7, RPHG4-7, ROF3-7, LA1-7, LEC1-7,
    LAH1-7, LPHG1-7
    REC1, REC2, LA2100%
    17RSTA2-3, RSTP3-4RSTA3, RMH1, RSTP3, RIPP8, LST540%
    18REC1-4, RMH1-3, LA1-2, LEC1-2, LMH1-2REC1, REC2, RMH2, RA275%
    19REC4-7, RMH4-7, RPH4-7, RSTG1-7RA2, RMH5, RA1, RMH450%
    20RA1-2, REC1-2, RMH1-2, RPHG1-2, LA1-2, LEC1-2, LMH1-2,
    LPHG1-2,
    REC1, RMH3, LMH1, LEC280%
    21RA1-2, RMH1-2, LEC1-3, LMH1-2, LA1-2RA4, RMH5, LEC1, LA150%
    22LEC1-3, LA1-3, LEC4-7, LA4-7LEC,1, LA1, RA1, RAH150%
    23RA1-3, REC1-3, RMH1-3, LA1-3, LEC1-3, LMH1-3LEC1, REC4, LMH4, RMH725%
    24REC1-4, RMH1-2, RA1-3RA1, RA2, LAH1, LA1, LAH240%
    25RTO5-7, RMH1-3, LA6-7, LPH5-6RMH2, LPH4, LPH5, LPH675%
    26LAH1-3, LEC1-2, RMH1-2, RPHG1-3, REC1-3LAH1, LAH2, LAH3100%
    27REC1-3, RMH1-2, RPHG1-2, LMH1-2RMH2, RMH4, RPHG2, LMH175%
    28LMH4-7, LEC4-7, LA4-7, LPSM4-7, LOF4-7, LAC4-7, REC4-7,
    RMH4-7, RA4-7
    LMH4, LMH6, LPSM5, LMH5100%
    29RAH1-3, RA1-3, REC1-3, RPHG1-3LEC7, LEC6, REC3, REC2, REC160%
    30RA1-2, REC1-2, RMH1-2, RPHG1-2, LA1-2, LEC1-2, LMH1-2,
    LPHG1-2
    RA1, LMH1, RA2, REC1100%
    31RA1-7, REC1-7, RAH1-7, RPHG1-7, ROF1-3, RAF1-3, RAC5-7RAH1, REC1, REC2, RPHG1, RAH2100%
    32LEC1-3, LMH1-2, RAH1-7, REC1-7, RPHG1-7LEC1, LEC3, REC7, RPHG7100%
    33REC1-3, RAH1-3, RPHG1-3, LAH1-2, LPHGA1-2, RPHG7-8,
    LPHGA7-8
    REC1, REC2, RAH1, RPHG3100%
    34LPH1-2, LEC1-2, LA1-2LEC1, LPHG7, LEC2, LPH175%
    35LAH1-2, LEC 1-2, LA 1-4, LPHG1-3LA3, RA3, LA266%
    36LMH1-2, LPHG1-3, LA1-2, ROF4-5LPHG1, LPHG2, LA1100%
    37LEC1-2, LAH1-2, REC1-2, RAH1-2LA1, LA2, LAH1, LA725%
    38RSTG1-4, RPT 7-8, LPT1-2, LSTG5-7, LEC5-7, LAH5-7, LMTG3-7,
    REC3-7
    LAH6, LAH5, RAH6, RPHG650%
    39REC1-3, RMH1-3, RMNH3-7, RPNH2-6, RINH4-6, LPC 5-8RMH1, LPC7, RMH3, RMNH5100%
    40LEC1-4, LA1-4, LA5-7, LAH1-4, LPNH6-8, LSTG1-5LEC1, LEC2, LA1, LEC3100%
    41RSTGA1-4, RSTG1-4, LSTG1-4LSTG2, RPST4, LSTG1, LSTG375%
    42REC1-7, RSTA1-7, RSTG1-7, RMH1-7, RIF1-7, RSO3-7, RIO3-7,
    RAIP3-7
    RIO1, RSTG4, RAIP7, RMH6, RSTG380%
    43LEC1-3, LA1-3, RA1-3, REC1-3, LOF3-7, ROF3-7LA5, LOF3, RA3, RA2, LEC180%
    • Twelve patients showed 100% correspondence in the top 5% of channels with the highest spike rates between the automated spike detector and those manually identified channels containing interictal discharges. Twenty patients showed at least 50%, 11 of which with >70% correspondence. Only four patients <40% correspondence.

    • R: right, L: left, TP = temporal pole, FP = frontal pole, A = amygdala, OF = orbitofrontal, EC = entorhinal cortex, F = frontal lobe, AH = anterior hippocampus, FO = frontal operculum, MH = middle hippocampus, AC = anterior cingulate, PH = posterior hippocampus, MC = middle cingulate, PHG = parahippocampal gyrus, PC = posterior cingulate, FG = fusiform gyrus, SMA = supplementary motor area, PT = posterior temporal, STG = superior temporal gyrus, AP = anterior parietal lobe, O = occipital lobe, OT = occipital-temporal border.

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    Table 3

    Patients cohort

    PatientsSex/ageEpilepsydurationSeizurefrequency(/month)Site(s) of SOZMRIResected areaSurgicaloutcome/follow-upPathologyIIS sites
    1F/38366RA, RAH, REC, RPHGR/L HAR AMTLIIIB/73HS, gliosisRAH, RA, REC, RPHG, LA
    2F/17890RIP, RAP, RMHNormalR parietotemporal neocortexIIC/126Subcortical WM ectopic neuronsNA
    3F/423020LA, LEC, LAHL HAL AMTLIB/51FCD IaNA
    4F/39325RAH, RPHG, RA, RECR/L HAR AMTLIA/43GliosisRA, REC, RAH, RPHG, LA, LEC, LAH, LPHG
    5F/28202RA, RAH, REC, RPHGNormalR AMTL, temporal neocorticalIVB/72Subcortical WM ectopic neuronsRAH, RA, RPH, LAH, REC
    6F/302928LA, LAHL HAVNSIA/12NANA
    7M/2194REC, RAH, RPHGR FCD, PNHR AMTL, temporooccipitalIIIA/84FCD Ic, IIaRA, REC, RAH, RPHG, RSTP, RMC, LAH
    8F/252027RAH, RA, RECR/L HAR AMTLIB/60NoneLA, LAH, LEC, RA, RAH
    9M/422216LEC, LPHG, LA, LAH, RAHR/L hippocampal hyperintensityL AMTLII/36NoneNA
    10F/48329RAH, RANormalR AMTLIIIC/42HSNA
    11M/4051LA, LEC, LAHL caudate nucleus atrophyL AMTLIA/24NoneLAH, LA, LEC, RAH, RA, REC
    12F/20912LA, LECNormalL AMTLIIB/51FCD IIaNA
    13F/46466LA, LEC, LAHL HAL AMTLIB/9HSNA
    14F/535112LEC, LMH, LAL hippocampal hyperintensityL AMTLIA/86NoneLEC, LMH
    15M/4558LEC, LMHL HAL AMTLIA/58NoneREC, RMH, LEC, LMH
    16M/29813RA, REC, RAH, RPHG, ROFLA, LAHNormalRNS anterior hippocampusIVB/25NARA, RAH, REC, RPHG, ROF, LA, LEC, LAH, LPHG,
    17F/50242RSTA, RSTPR perisylvian polymicrogyriaR temporoparietal neocortex, STGIB/2GliosisRSTA, RSTP
    18F/49193RA, REC, RMH, LA, LEC, LMHNormalR AMTLIIA/61FCD IcREC, RMH, LA, LEC, LMH
    19F/411230REC, RMH, RPHG, RSTGNormalR AMTL, R lateral TLIIA/17HS, gliosisREC, RMH, RPH, RSTG
    20M/493120RA, REC, RMH, RPHGNormalR AMTLIA/1.5FCD Ic, gliosisRA, REC, RMH, RPHG, LA, LEC, LMH, LPHG
    21F/3530110LEC, LA, RAL HAVNSIA/10NARA, RMH, LEC, LMH, LA
    22M/56202LA, LECL posterior comm. artery infarctL AMTLIIB/27Subcortical WM ectopic neuronsLEC, LA
    23F/40124RA, REC, RMH, RPHGR FCD temporal poleR AMTLIB/45FCD IIb, gliosisRA, REC, RMH, LA, LEC, LMH
    24F/34228REC, RMHNormalR AMTLIVC/48GliosisREC, RMH, RA
    25F/27138LEC, LTO, LPH, REC, RMHPVH, polymicrogyriaDBSIVB/9NARTO, RMH, LA, LPHG
    26M/3516170REC, RMH, RPHGNormalEntorhinal cortex
    replace RNS
    IIIA/29NALAH, LEC, RMH, RPHG, REC
    27F/2774REC, RMH, RPHG, RANormalRNS MTLEIIIA/74NAREC, RMH, RPHG, LMH
    28M/26184LEC, LA, LMH, LOF, LAC, RA, REC, RMH, ROFEncephalomalacia L lateral superior TLTL ATL sparing mesial structures, RNS L hippocampal-LOFIIB/20Gliosis, heterotopia WMLMH, LEC, LA, LPSM, LOF, LAC, REC, RMH, RA
    29F/34208RAH, RA, RECR/L PNHRNS RAH and RECIVB/45NARAH, RA, REC, RPHG
    30M/2791RA, REC, RPHG, LA, LEC, LMH, LPHGR HARNS L/R ECIIIA/38NARA, REC, RMH, RPHG, LA, LEC, LMH, LPHG
    31F/301515RA, RPHGROF atrophyR lesionectomyIA/34GliosisRA, REC, RAH, RPHG, ROF, RAF, RAC
    32F/2142LEC, LA, LMH, LPHGL temporal pole encephaloceleL AMTLIB/35HS, gliosisLEC, LMH, RAH, REC, RPHG
    33M/51234LEC, LAH, LPHG, REC, RPHGR HA, L FCDRNS L/R medial TLIB/24NAREC, RAH, RPHG, LAH, LPHG
    34M/5881LPH, LEC, LA, RAH, RECL HAL AMTLIIIA/63HS, gliosisLPH, LEC, LA
    35F/49133LA, LAH, LEC, LPHGL hippocampal hyperintensityRNS L medial TL and L ECIIB/28NALAH, LEC, LA, LPHG
    36F/43273LOF, LMH, LPHGFCD RT poleR AMTL, RNS L MTL–R Middle OFIID/36HSLMH, LPHG, LA, ROF
    37M/6950.5LEC, LAHL HAL amygdalo-hippocampectomy w/VisualaseIIIA/55NALEC, LAH, REC, RAH
    38M/503890LEC, LMH, LMTG, LAH, RSTG, RTP, RPT, LPT, LAH, RECHyperintensity L post-TLVNSIVB/31NARSTG, RPT, LPT, LSTG, LEC, LAH, LMTG, REC
    39F/449120REC, RMHR/L PNHR AMTLIIIA/59NoneREC, RMH, RMNH, RPNH, RINH, LPC
    40F/3485LEC, LA, LAH, LSTG, LPNH, LMNH, LANHL PVH, hypothalamic hamartomaRNS LEC-LPNHIIB/38NALEC, LA, LAH, LPNH, LSTG
    41M/35250RASTG, RPSTG, LSTGHyperintensity RT pole, PVHR AMTL, TL R superior, middle, inferior temporal extendedIV/33GliosisRSTGA, RSTG, LSTG
    42M/25158RMH, RSTG, RSTA, RA, RECAtrophy R hemisphere
    Vascular new infarct R post-TL
    R ML TL/TL R TPO, RNS RSTG, ROIVC/12Gliosis, CDREC, RSTA, RSTG, RMH, RIF, RSO, RIO, RAIP
    43M/282560LA, LEC, LMH, RA, REC, RMHL MTS hyperintensity amygdala R>L, L ant TLRNS L entorhinal, L anterior insulaIIIA/33NALEC, LA, RA, REC, LOF, ROF
    • R = right, L = left, A = amygdala, AH = anterior hippocampus, MH = middle hippocampus, PH = posterior hippocampus, EC = entorhinal cortex, PHG = parahippocampal gyrus, OF = orbitofrontal cortex, FA = anterior frontal, STG/A/P = superior temporal gyrus/anterior/posterior, AMTL = anteromesial temporal lobectomy, RNS = responsive neurostimulation, NA = not available, FCD = focal cortical dysplasia, HA = hippocampal atrophy, HS = hippocampal sclerosis, PNH = periventricular nodular heterotopia, TS = tuberous sclerosis. See Extended Data Table 3-1 that shows examples for resection or RNS therapy in the SOZ.

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    Table 4

    Statistical table

    Hypothesisp-valueF value μ1−μ2 or βNb samples
    Zone significant predictor of HGEC0.0004977.6052,203
    Zone significant predictor of LGEC0.1302.04152,203
    Zone significant predictor of ThEC0.0572.86052,203
    Regions significant predictor of HGEC2.14e–19118052,203
    Regions significant predictor of LGEC4.85–2524152,203
    Regions significant predictor of ThEC4.31e–10599.752,203
    SF patients significantly different from NSF in HGEC0.2061.6552,203
    SF patients significantly different from NSF in LGEC0.9100.01352,203
    SF patients significantly different from NSF in ThEC0.2051.6652,203
    Seizure outcome significant predictor of HGEC0.1622.0252,203
    Seizure outcome significant predictor of LGEC0.5390.38452,203
    Seizure outcome significant predictor of ThEC0.5200.42152,203
    SOZ HGEC > NSOZ HGEC in SF patients1.10e–918.8 (μ1−μ2 = 0.0165)401
    SOZ LGEC > NSOZ LGEC in SF patients0.02178.23 (μ1−μ2 = 0.00412)401
    SOZ ThEC < NSOZ ThEC in SF patients1.12e–612.1 (μ1−μ2 = –0.00761)2785
    SOZ ThEC < NSOZ ThEC in NSF patients0.0085514.9 (μ1−μ2 = –0.00245)2785
    In SOZ, M-L, HGEC SF > HGEC NSF0.0011411.8 (μ1−μ2 = 0.001143)996
    In SOZ, M-L, LGEC SF > LGEC NSF0.002059.94 (μ1−μ2 = 0.016924)996
    In NSOZ, E-E, LGEC SF < LGEC NSF0.00897.46 (μ1−μ2 = –0.011616)5069
    In NSOZ, L-L, ThEC SF < ThEC NSF0.01117.03 (μ1−μ2 = –0.010777)6106
    Spikes significant predictor of HGEC1.22e–100455 ( β = 0.00410)52,203
    Spikes significant predictor of LGEC7.71e–106479 ( β = 0.00279)52,203
    Spikes significant predictor of ThEC1.54e–50233 ( β = 0.00165)52,203
    Distance significant predictor of HGEC7.32e–1105504 ( β = 0.900)52,203
    Distance significant predictor of LGEC1.40e–1216401 ( β = 0.868)52,203
    Distance significant predictor of ThEC2.12e–873804 ( β = 0.717)52,203
    • Significant values are shown in bold.

Extended Data

  • Figures
  • Tables
  • Extended Data Figure 1-1

    Effect of low sampling and up-sampling on HGEC. A, Ratio of low γ events to numbers of high γ events is box-plotted for patients with 2-kHz sampling (N = 15) and those with 200-Hz sampling rate (N = 28). B, Same as A but for ratio of powers instead of ratio of number of events. We calculated those measures on five channels randomly selected from each patient on a randomly selected 30-s window and repeated the procedure 10 times. In total, we had 750=15×5×10 datapoints for the patients sampled at 200 Hz, and 1400=28×5×10 datapoints for the patients sampled at 2 kHz. C, Two signals extracted from the right amygdala for first patient in Table 3 sampled at 200 Hz (left) are illustrated with their corresponding high γ band-filtered signals (65–95 Hz) and train of high γ events are presented underneath. The up-sampled signals (1 kHz) and train event is present to the right. D, Power spectrum for the raw signal (RA2 in C, blue) and for the filtered signal (orange) are presented. The power spectrum of the up-sampled signal is presented to the right. Download Figure 1-1, TIF file.

  • Extended Data Figure 1-2

    HGEC in NSOZ ipsilateral versus contralateral. Comparison between HGEC connectivity values in channels located outside the SOZ but in same hemisphere (ipsilateral) and those in the opposite hemisphere (contralateral). A, Connectivity matrix where the NSOZ is organized by connectivity within the ipsilateral hemisphere (I), contralateral hemisphere (C), and between ipsilateral and contralateral hemispheres (I-C). B, Boxplots illustrate the connectivity values of ipsilateral NSOZ channels and contralateral NSOZ channels. No significant difference was obtained (effect size η2<0.01). Download Figure 1-2, TIF file.

  • Extended Data Figure 2-1

    High γ events connectivity (HGEC) matrices for all seizure-free patients (green) and not seizure-free patients (red) are presented. The matrices are organized by connectivity within the seizure onset zone (SOZ; upper triangle), within the seizure onset zone complement (NSOZ; lower triangle) and between the SOZ and NSOZ (rectangle) networks. Download Figure 2-1, TIF file.

  • Extended Data Figure 3-1

    Connectivity strength in relation to seizure outcome or SOZ. A, Violin plots that show HGEC, LGEC, and ThEC in relation to seizure outcome where SF patients are shaded in white and NSF are shaded in black. B, Violin plots that show HGEC, LGEC, and ThEC in relation to SOZ. Download Figure 3-1, TIF file.

  • Extended Data Figure 6-1

    The exponential relationship between HEC and Euclidian distance is plotted slow decaying HGEC (A, patient 3) and fast decaying HGEC (B, patient 24). Download Figure 6-1, TIF file.

  • Extended Data Figure 7-1

    Representative MRI from three patients in this study illustrating the different types of MRI pathology found in these cases that required invasive EEG. Download Figure 7-1, TIF file.

  • Extended Data Figure T3-1

    Resection or RNS therapy in the SOZ. A, Resection of tissue corresponding to SOZ in patient 24. Postimplant CT (left, axial) registered with postsurgical MRI in coronal (middle) and axial planes (right). Red dots denote contacts of depth electrode with distal contacts positioned in right entorhinal cortex. Area outlined in white indicates the margins of resection in the plane of view. B, Same as panel A, but patient 39 and yellow dots denote contacts of depth electrode positioned to sample right middle hippocampus. C, RNS therapy of the left mesial temporal lobe SOZ, including entorhinal cortex, in patient 35. Full-head model illustrates trajectories of two RNS probes (magenta lines) with one entry (E) from occipital cortex with contacts (magenta dots) positioned in left amygdala, hippocampus, and parahippocampal gyrus, and the other E from lateral aspect of temporal cortex with contacts in and adjacent to entorhinal cortex. Yellow dots denote depth electrode contacts of the left SOZ involving amygdala, entorhinal cortex, middle hippocampus, and parahippocampal gyrus. Sagittal view (top), clockwise-rotated posterolateral view (middle), and axial view (bottom). A = anterior, P = posterior, D = dorsal, V = ventral, L = left, and R = right. Download Figure T3-1, TIF file.

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Interictal Gamma Event Connectivity Differentiates the Seizure Network and Outcome in Patients after Temporal Lobe Epilepsy Surgery
Mohamad Shamas, Hsiang J. Yeh, Itzhak Fried, Jerome Engel, Richard Staba
eNeuro 23 November 2022, 9 (6) ENEURO.0141-22.2022; DOI: 10.1523/ENEURO.0141-22.2022

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Interictal Gamma Event Connectivity Differentiates the Seizure Network and Outcome in Patients after Temporal Lobe Epilepsy Surgery
Mohamad Shamas, Hsiang J. Yeh, Itzhak Fried, Jerome Engel, Richard Staba
eNeuro 23 November 2022, 9 (6) ENEURO.0141-22.2022; DOI: 10.1523/ENEURO.0141-22.2022
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Keywords

  • epileptic network
  • event connectivity
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