ライフサイエンスコーパス: intracranial EEG

1 all clinical and EEG information (including intracranial EEG).

2 s, such as those that would be recorded with intracranial EEG.

3 6 women) monitored with simultaneous MEG and intracranial EEG.

4 unctional networks derived from coregistered intracranial EEG.

5 are largely based on functional mapping via intracranial EEG.

6 f high-gamma activity recorded using MEG and intracranial EEG.

7 p electroencephalography (EEG), MRI, PET and intracranial EEG.

8 egions with accuracy comparable with that of intracranial EEG.

9 6 and 1994, 28 patients had IBTL seizures on intracranial EEG.

10 epsy often requires recording seizures using intracranial EEG.

11 t outcomes, only 9 of 31 patients undergoing intracranial EEG (29%) and only 9 of 85 patient with non

12 24 of these 31 patients undergoing long-term intracranial EEG (77%), a seizure focus was identified a

13 fically between white matter connections and intracranial EEG, across pre-ictal and ictal periods in

14 anial EEG recordings to a normative atlas of intracranial EEG activity and connectivity can reliably

15 clinical signs of loss of consciousness and intracranial EEG activity during 129 focal impaired awar

16 We recorded intracranial EEG activity in 12 epileptic human patients

17 Third, we assessed changes in intracranial EEG activity preceding and accompanying beh

18 otably, the sounds also elicited oscillatory intracranial EEG activity, including increases in theta,

19 e 16 features for early seizure detection in intracranial EEG and compared them and their frequency r

20 nd without spikes across different bands for intracranial EEG and electric/magnetic source imaging an

21 amma-range) in rare, simultaneously recorded intracranial EEG and fMRI in humans, and source-localize

22 the presumed epileptogenic zone based on the intracranial EEG and MRI abnormalities while maximally p

23 was compared with the seizure onset zone at intracranial EEG and with surface IED-related potentials

24 Simultaneous intracranial EEG and/or scalp EEG.

25 asible to detect interictal abnormalities in intracranial EEG, and of potential clinical value to ide

26 l intervention based on synchronizability of intracranial EEG (area under the receiver operating char

27 We tested this principle using human intracranial EEG as a time-resolved method to quantify p

28 Here, we recorded direct intracranial EEG as human participants performed an asso

29 sor measures via Spearman's correlation with intracranial EEG at population- and patient-level.

30 We constructed an intracranial EEG atlas by mapping the distribution of ea

31 Clinicians then analyse the intracranial EEG before each seizure onset to identify t

32 We characterized intracranial EEG changes both in the seizure onset zone

33 ed seizure onset zone and the spike onset on intracranial EEG channels by estimating their overlap wi

34 ed MRI and functional imaging and subsequent intracranial EEG confirmation of the seizure-onset zone

35 estimated virtual sensors at locations where intracranial EEG contacts were placed.

36 found to have partially dissociable resting intracranial EEG correlates, reflecting different underl

37 We propose that aggregating normative intracranial EEG data across epilepsy centres into a nor

38 We analysed intracranial EEG data from 43 children with drug resista

39 In this study, we recorded intracranial EEG data from a cohort of patients with med

40 In this study, we acquired intracranial EEG data from rare patients (Ps) with medic

41 In this study, we collected intracranial EEG data from rare patients with medically

42 We recorded intracranial EEG data in 5 patients (3 female) implanted

43 ultaneous EEG/fMRI data in healthy subjects, intracranial EEG data in epilepsy patients, comparison w

44 We have publicly shared our intracranial EEG data to enable investigators to validat

45 sed related models, and fitting the model to intracranial EEG data uncovers two regularities across h

46 h bilateral temporal seizures independent of intracranial EEG data.

47 ruth such as surgical resection outcomes and intracranial EEG-defined seizure onset zones.

48 FC and DLPFC in human epilepsy patients with intracranial EEG electrodes during an auditory Stroop ex

49 of the resection zone and determining which intracranial EEG electrodes lie within it; (ii) validati

50 ge = 34.5 years, range = 5-58) who underwent intracranial EEG evaluation for epilepsy surgery.

51 vious exposure of the images while recording intracranial EEG from the higher-order visual cortex of

52 Ictal activity captured by intracranial EEG has traditionally been interpreted to s

53 ly comparing source imaging results with the intracranial EEG (iEEG) findings and surgical resection

54 pert musicians and non-musicians, as well as intracranial EEG (iEEG) from six neurological patients,

55 We used intracranial EEG (iEEG) from two independent datasets.

56 ngs, whose relationship to standard clinical intracranial EEG (iEEG) has not been explored.

57 TMS) with intracranial micro-sEEG (usEEG) or intracranial EEG (iEEG) have significantly advanced our

58 investigated the neural effects of TBS using intracranial EEG (iEEG) in 10 pre-surgical epilepsy part

59 Here, we examine intracranial EEG (iEEG) in the human temporal lobe as pa

60 ocess, which often requires days to weeks of intracranial EEG (iEEG) monitoring.

61 electrodes can replace prolonged interictal intracranial EEG (iEEG) recording, making the process mo

62 We addressed this question with intracranial EEG (iEEG) recordings designed to identify

63 tional magnetic resonance imaging (fMRI) and intracranial EEG (iEEG) recordings to delineate place-se

64 g surgical resection can involve presurgical intracranial EEG (iEEG) recordings to detect seizures an

65 Here, we combined intracranial EEG (iEEG) recordings with a sham-controlle

66 sify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients perf

67 Functional connectivity (FC) analyses of intracranial EEG (iEEG) signals can potentially improve

68 how high-frequency activity captured through intracranial EEG (iEEG) supports human memory retrieval.

69 rchitecture, which enables interpretation of intracranial EEG (iEEG) transients driving classificatio

70 estigated the feasibility of recording human intracranial EEG (iEEG) using a benchtop version of the

71 o quantitatively guide epilepsy surgery from intracranial EEG (iEEG).

72 stimating a transfer function model from the intracranial EEG 'impulse' or single-pulse electrical st

73 Here, we measured intracranial EEG in 11 human patients with epilepsy (4 w

74 atial pattern similarity analysis in MEG and intracranial EEG in a context-match paradigm.

75 ICE can provide high-fidelity intracranial EEG in an intensive care unit setting, can

76 Results from preclinical models and intracranial EEG in humans suggest that the window of ti

77 Here we used intracranial EEG in humans to test the relation between

78 Using intracranial EEG in patients performing a recognition me

79 We examine intracranial EEG in the human temporal lobe and find rob

80 improving surgical outcome and accelerating intracranial EEG investigations.

81 iated with better chance of concordance with intracranial EEG localization, and with excellent postsu

82 Intracranial EEG localized seizure onset to the area of

83 ations were found between source imaging and intracranial EEG measures (0.4 <= rho <= 0.9, P < 0.05).

84 naturally occurring epilepsy had continuous intracranial EEG (median 298 days) using novel implantab

85 onsuming process wherein a patient undergoes intracranial EEG monitoring, and a team of clinicians wa

86 onse data in 32 epilepsy patients undergoing intracranial EEG monitoring.

87 patients (10 females and 9 males) undergoing intracranial EEG monitoring.

88 d 31 of these 47 patients (66%) proceeded to intracranial EEG monitoring.

89 To record HFOs, the intracranial EEG needs to be sampled at least at 2,000Hz

90 produces large amplitude oscillations in the intracranial EEG network that propagate seizure activity

91 onses occur when there is 'resonance' in the intracranial EEG network, and the resonant frequency can

92 We analysed intracranial EEG of 20 patients that underwent resective

93 In follow-up after surgery, intracranial EEG or video-EEG monitoring (or both) has c

94 , we reveal neocortical gating mechanisms in intracranial EEG patients by identifying rapid, within-t

95 Here, we investigated this question using intracranial EEG recorded from seventeen pediatric, adol

96 f epileptic foci and assist in the design of intracranial EEG recording strategies.

97 During extra-operative intracranial EEG recording, we assigned patients to unde

98 eoperative neuropsychological assessment and intracranial EEG recording.

99 ns between hippocampus and lateral PFC using intracranial EEG recordings (26 participants, 16 females

100 sed 38 focal epilepsy patients who underwent intracranial EEG recordings and diffusion-weighted imagi

101 nvestigate these questions here by examining intracranial EEG recordings as 28 participants with elec

102 Intracranial EEG recordings confirmed SOZ in medial temp

103 egular samples of IED rates from multi-month intracranial EEG recordings from ambulatory humans, we u

104 We analyzed continuous 3- to 14-day intracranial EEG recordings from five patients with mesi

105 We used intracranial EEG recordings from humans (14 participants

106 Using intracranial EEG recordings from rare patients with medi

107 Using intracranial EEG recordings from the hippocampus of drug

108 Using whole-brain intracranial EEG recordings in 18 epilepsy patients list

109 ocampal-cortical coupling were measured with intracranial EEG recordings in patients with epilepsy.

110 We propose that comparing intracranial EEG recordings to a normative atlas of intr

111 Here, we use intracranial EEG recordings to investigate the effects o

112 Here, we use data from a large cohort of intracranial EEG recordings to investigate the neurophys

113 C]AMT uptake in 4 children (including 2 with intracranial EEG recordings).

114 areal communication in the human brain using intracranial EEG recordings, acquired following 29,055 s

115 ing a multimodal analysis of functional MRI, intracranial EEG recordings, and large-scale neural popu

116 Here, using intracranial EEG recordings, we show that episodic memor

117 Using intracranial EEG recordings, we show that the memory tas

118 idated an automated spike ripple detector on intracranial EEG recordings.

119 can explain the variability in the timing of intracranial EEG responses to sounds: cortical electrode

120 stable across time, in keeping with MEG and intracranial EEG results.

121 ological Institute, we aggregated interictal intracranial EEG retrospectively across 166 subjects com

122 We recorded intracranial EEG signals from the ventral temporal corte

123 Intracranial EEG signals were analyzed during all-night

124 n during these periods, measured by spectral intracranial EEG similarity, predicts subsequent recall.

125 First, we compared the dynamics of intracranial EEG sleep-like activities: slow-wave activi

126 By comparison with an intracranial EEG standard of localization, SPECT subtrac

127 mpal longitudinal specialization in 32 human intracranial EEG subjects as they performed an associati

128 interpretation of ictal activity observed by intracranial EEG that challenges the traditional concept

129 e we leverage the high temporal precision of intracranial EEG to examine sub-second changes in functi

130 these maps with those acquired from MEG and intracranial EEG to investigate their similarity.

131 ized on the high spatiotemporal precision of intracranial EEG to localize such abstract decision sign

132 To address this knowledge gap, we used intracranial EEG to record LFPs at 858 widely distribute

133 EEG was localizing in 35 patients (66%) and intracranial EEG was localizing in 22 patients (85%) (of

134 Using intracranial EEG, we observed significant changes in osc

135 Using intracranial EEG, we recorded ventral striatum activity

136 Here, with intracranial EEG, we show that intrinsic timescales prog

137 Using tools combining MEG and intracranial EEG with brain connectivity analyses, we pr

138 Using human intracranial EEG with concurrent pupillometry in 3 subje

139 uantitative measures derived from interictal intracranial EEG yield potentially appealing biomarkers