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1                                              ECoG based decoding performance negatively correlated wi
2                                              ECoG ClusterFlow supports the comparison of spatio-tempo
3                                              ECoG from 63 subdural electrodes (500 Hz/channel) chroni
4                                              ECoG HV-LV cyclicity was reduced 4-5 h prior to spontane
5                                              ECoG patterns changed 7 to 4 h prior to spontaneous onse
6                                              ECoG responses in visual cortex can be separated into tw
7                                              ECoG revealed a striking anatomical and functional corre
8                                              ECoG signal changes on the hemisphere ipsilateral to HIF
9                                              ECoG signals were purified by a denoising procedure of w
10                                              ECoG signals were recorded with a high-density 32-electr
11                                              ECoG spectral analysis utilized a mixed-effects analysis
12                                              ECoG spectral analysis utilized a mixed-effects analysis
13                                              ECoG was also recorded when subjects passively listened
14 imately 3 Torr, LD-CBF increased 48 +/- 10%, ECoG shifted to chiefly the HVLF state, SEF(90) decrease
15                                   Near-DC/AC-ECoG amplitude was reduced by 44 to 75% and 52 to 67%, a
16  show that network metrics computed from all ECoG channels capture the dynamics of the seizure onset
17                                     Although ECoG originally evolved as a replacement for single-unit
18 es interleukin (IL)-1alpha and IL-1beta, and ECoG spectral analysis.
19        Oscillations in STN unit activity and ECoG were common after this sustained firing reduction,
20 ways: across stimuli, the BOLD amplitude and ECoG broadband power were positively correlated, the BOL
21 counts for the relationship between BOLD and ECoG data from human visual cortex in V1, V2, and V3, wi
22 by measuring electric fields through EEG and ECoG.
23 timuli, differing dramatically from fMRI and ECoG broadband (non-oscillatory) responses.
24 oscillations were similarly tuned in LFP and ECoG to stimulus orientation, contrast and spatial frequ
25 creased with increasing size in both LFP and ECoG, suggesting local origins of both signals.
26 ectrodes to simultaneously map MUA, LFP, and ECoG RFs from the primary visual cortex of awake monkeys
27  highest temporal resolution for EEG/MEG and ECoG were shown as ~200 ms and ~10 ms and are now correc
28 ing a hybrid array containing both micro and ECoG electrodes implanted in the primary visual cortex o
29 ed array containing both microelectrodes and ECoG electrodes to simultaneously map MUA, LFP, and ECoG
30 oppler flowmeter, fluorescent O(2) probe and ECoG electrodes, we measured laser Doppler CBF (LD-CBF),
31 fferences between electrical stimulation and ECoG that were partially related to the reciprocity of c
32  spatiotemporal resolution of 'EEG/MEG' and 'ECoG' were incorrect.
33 space; spatial summation in the asynchronous ECoG component is subadditive.
34 only IEDs and complete resection of baseline ECoG IEDs had an excellent outcome.
35 G and complete resection of IEDs on baseline ECoG are associated with better outcomes following stand
36 .64]; complete resection of IEDs on baseline ECoG, relative risk = 0.39 [95% CI, 0.20-0.76]).
37 ECoG contacts, followed by coherence between ECoG and deep cortical local field potential (LFP), and
38            No relationship was found between ECoG cycles and myometrial contracture cycles.
39  was coherence at approximately 1 Hz between ECoG and basal ganglia LFPs, with much of the coherent a
40 where the highest coherence occurred between ECoG contacts, followed by coherence between ECoG and de
41 4 h ECoG patterns, (2) relationships between ECoG and myometrial contractility, and (3) 24 h ECoG pat
42 mol) into either MS or SI elicited bilateral ECoG and HEEG activation.
43 we show that the architecture of whole-brain ECoG networks and the factors that shape it can be studi
44 ces that generate the asynchronous broadband ECoG component.
45 nship: When the raw fluctuation in broadband ECoG activity is closer to the across-trial mean, hit ra
46 nction were compared with those generated by ECoG spectral analysis.
47 uency (beta, gamma) oscillations recorded by ECoG were altered at acute and chronic time points follo
48 luate interregional functional connectivity, ECoG data from electrodes situated over specific cortica
49 projection approach to decode the continuous ECoG data stream spontaneously, predicting the occurrenc
50 be an attractive alternative to conventional ECoG grids with regard to mechanical properties, 3-T MR
51  and direct-current electrocorticography (DC-ECoG).
52  that functional responsiveness of different ECoG high-gamma sub-bands can discriminate cognitive tas
53                        Because naming during ECoG involved these muscles of articulation, the sensiti
54 l field potential (LFP), and then SFC (i.e., ECoG > LFP > SFC).
55 LC neuronal activity increases cortical EEG (ECoG) and hippocampal EEG (HEEG) indices of arousal bila
56                     Macaque simultaneous EEG/ECoG recordings provide experimental confirmation for ou
57                          Electrocorticogram (ECoG) and myometrial electromyogram (EMG) were recorded
58                          Electrocorticogram (ECoG), obtained by low-pass filtering the brain signal r
59                          Electrocorticogram (ECoG), obtained by placing macroelectrodes (typically 2-
60                          Electrocorticogram (ECoG), obtained from macroelectrodes placed on the corte
61  simultaneously acquired electrocorticogram (ECoG) in discrete brain states representative of global
62 r framework by analysing electrocorticogram (ECoG) recordings from patients who have undergone epilep
63 n EEG and monkey LFP and electrocorticogram (ECoG) data.
64 both microelectrodes and electrocorticogram (ECoG) electrodes in the primary visual cortex of 2 femal
65 es (SWDs) in the EEG and electrocorticogram (ECoG).
66 tecture as determined by electrocorticogram (ECoG) and electromyogram (EMG) activity over a 7-day sub
67  the ipsilateral frontal electrocorticogram (ECoG) of anaesthetized rats.
68 of STN units and frontal electrocorticogram (ECoG) to cortical stimulation in anaesthetized rats.
69 , local field potential, electrocorticogram (ECoG), and EEG, and compared their information and decod
70 ave been recorded in the electrocorticogram (ECoG) of rats weeks and months after fluid percussion in
71 eorganization affect the electrocorticogram (ECoG) responses to various neurotransmitter agonists.
72 e obtained by averaging electrocorticograms (ECoGs) recorded from the perisylvian and extrasylvian ba
73 ent with these changes, electrocorticograms (ECoGs) reveal suppressed ketamine-evoked y oscillations.
74                       Electrocorticographic (ECoG) arrays were placed on the subtemporal cortical sur
75                       Electrocorticographic (ECoG) recordings of brain activity were collected bilate
76                       Electrocorticographic (ECoG) spectral patterns obtained during language tasks f
77 ical tissue (t ), and electrocorticographic (ECoG) activity (high voltage low frequency, HVLF, versus
78 fMRI) BOLD signal and electrocorticographic (ECoG) field potential.
79 hniques on continuous electrocorticographic (ECoG) recordings (5.4 +/- 1.7 d per patient, mean +/- SD
80 ynthesize speech from electrocorticographic (ECoG) signals acquired across motor, premotor and somato
81 amma-band (25-128 Hz) electrocorticographic (ECoG) activity -- a phenomenon involving large groups of
82 eural oscillations in electrocorticographic (ECoG), electroencephalographic (EEG), and stereoelectroe
83 samples of interictal electrocorticographic (ECoG) signals recorded from patients who became seizure-
84 frequency analyses of electrocorticographic (ECoG) signals, we hypothesized that induced high-gamma-b
85           We recorded electrocorticographic (ECoG) activity across the lateral cerebral cortex as peo
86 theories, we recorded electrocorticographic (ECoG) data from 15 human patients with intractable epile
87           We recorded electrocorticographic (ECoG) signals from individuals watching intact and scram
88           We recorded electrocorticographic (ECoG) signals in five clinical subjects during a visual-
89 ng arrays of subdural electrocorticographic (ECoG) electrodes in human patients performing simple mov
90              Subdural electrocorticographic (ECoG) recordings in patients undergoing epilepsy surgery
91  we recorded subdural electrocorticographic (ECoG) signals in five clinical subjects while they perfo
92 ationship between the electrocorticographic (ECoG) signal and the observed fMRI response (p < 10(-16)
93  Recent studies using electrocorticographic (ECoG) recordings in humans have shown that functional ac
94 went craniectomy with electrocorticographic (ECoG) and local blood flow monitoring.
95                        Electrocorticography (ECoG) data can be used to estimate brain-wide connectivi
96                        Electrocorticography (ECoG) is becoming more prevalent due to improvements in
97                        Electrocorticography (ECoG) methodologically bridges basic neuroscience and un
98         Although acute electrocorticography (ECoG) is routinely performed during epilepsy surgery the
99  Purpose To develop an electrocorticography (ECoG) grid by using deposition of conductive nanoparticl
100  the feasibility of an electrocorticography (ECoG)-based BCI system in an individual with tetraplegia
101 easured using fMRI and electrocorticography (ECoG) in human visual cortex with a similar set of stimu
102 l field potentials and electrocorticography (ECoG).
103 ephalography (MEG) and electrocorticography (ECoG).
104 ive techniques such as electrocorticography (ECoG) offer high decoding accuracy, their surgical requi
105                Chronic electrocorticography (ECoG) demonstrated spontaneous chronic seizures that wer
106  a 128-channel chronic electrocorticography (ECoG) implant in a paralyzed individual, which allowed s
107  conventional clinical electrocorticography (ECoG) electrodes.
108 he analysis of complex Electrocorticography (ECoG) data.
109  study of high-density electrocorticography (ECoG) recordings from the cortical surface of profoundly
110 e we used high-density electrocorticography (ECoG) recordings to detect when they heard or said an ut
111 th males and females): electrocorticography (ECoG) and fMRI.
112 aneous recordings from electrocorticography (ECoG) grids and high-density microelectrode arrays to es
113 d auditory and frontal electrocorticography (ECoG) signals in five common awake marmosets performing
114 ampus as well as human electrocorticography (ECoG) data.
115 de evidence from human electrocorticography (ECoG) for an inverted-U brain-behavior relationship: Whe
116 echnologies, including electrocorticography (ECoG) systems, multielectrode arrays (MEAs), Stentrode,
117 ion of an intracranial electrocorticography (ECoG) measure from the nonepileptic mean.
118 EG) and intraoperative electrocorticography (ECoG) are routinely used in the evaluation of magnetic r
119         Intraoperative electrocorticography (ECoG) can be used to delineate the resection area in epi
120 patients with invasive electrocorticography (ECoG) recordings and compared multilayer directional net
121  monitored by invasive electrocorticography (ECoG; subdural electrodes) and noninvasive scalp EEG dur
122  used a combination of electrocorticography (ECoG) and electrical brain stimulation (EBS) in 10 human
123 through an analysis of electrocorticography (ECoG) data, we identified a timescale hierarchy in the n
124 multimodal approach of electrocorticography (ECoG), high-resolution functional magnetic resonance ima
125 alidated this model on electrocorticography (ECoG) data from human visual cortex.
126 ogy, fiber photometry, electrocorticography (ECoG), optogenetics, and behavior in the Scn8a(+/-)mouse
127 s in non-human primate electrocorticography (ECoG), human electroencephalogram (EEG), and clinical in
128 ral scale by recording electrocorticography (ECoG) signals measured directly from subdural electrode
129        High-resolution electrocorticography (ECoG) signals were recorded directly from auditory corte
130 ation and from resting electrocorticography (ECoG) correlations showed similar spatial distributions
131 operative sensorimotor electrocorticography (ECoG) and subthalamic LFP to predict grip-force, a repre
132  analysed simultaneous electrocorticography (ECoG) and neuronal recordings of 34 seizures in a cohort
133 xtraoperative subdural electrocorticography (ECoG) recording could predict long-term seizure outcome.
134  the cortical surface, electrocorticography (ECoG) provides a powerful method to integrate spatial, t
135 fied 0-1 chaos test to electrocorticography (ECoG) and magnetoencephalography (MEG) recordings from t
136 l transection prior to electrocorticography (ECoG) recordings and ICH injury.
137 ures from single-trial electrocorticography (ECoG) data.
138            Here we use electrocorticography (ECoG) to directly record neuronal population activity wh
139 rom two patients using electrocorticography (ECoG) and stereo-electroencephalography (sEEG) recording
140                  Using electrocorticography (ECoG) data from participants listening to a 30-minute na
141 es were recorded using electrocorticography (ECoG).
142 d by 5-electrode video-electrocorticography (ECoG) 2 to 16 weeks postinjury.
143 nt a portable wireless electrocorticography (ECoG) system.
144 tentials measured with electrocorticography (ECoG) and the blood oxygen level-dependent (BOLD) respon
145 ubjects implanted with electrocorticography (ECoG) arrays for long-term epilepsy monitoring were trai
146 ts were implanted with electrocorticography (ECoG) electrodes and had multiple opportunities to pract
147  signal types including electrocortiography (ECoG) and the electroencephalogram (EEG).
148 ms and myoclonus at the time of epileptiform ECoG events.
149 ng on ECoG, we developed a model to estimate ECoG power generated by different firing patterns of the
150  V and VI were the primary sources of evoked ECoG responses.
151 e localization and origins of sensory-evoked ECoG responses.
152           These results indicate that evoked ECoG high-gamma responses are primarily generated by the
153 .4-23.0 years), who underwent extraoperative ECoG recording prior to cortical resection for alleviati
154 slow ECoG activity (HV) and low-voltage fast ECoG activity (LV) were determined mathematically, and H
155 enty-four hour rhythms were present in fetal ECoG HV-LV cycles in the 3-5 days prior to spontaneous o
156 ild hypoxia has significant effects on fetal ECoG activity, heart rate and blood pressure.
157                              Combining a few ECoG electrodes allowed more accurate decoding than comb
158 t uses a high resolution 32-channel flexible ECoG electrodes array to collect electrical signals of b
159  experiments on a rat show that the flexible ECoG system can accurately record electrical signals of
160 dings reveal a striking convergence of fMRI, ECoG, and EBS, which together offer a rare causal link b
161                     To use this approach for ECoG, we designed a customized array containing both mic
162 ogous characterization has not been done for ECoG.
163     The results indicate that high-frequency ECoG reliably differentiates cortical areas associated w
164 with five quantitative metrics computed from ECoG and multiunit data was used to distinguish three ty
165 -depth analysis of neural activity data from ECoG.
166 r using detection of grasping movements from ECoG to control a grasping prosthesis.
167 G and myometrial contractility, and (3) 24 h ECoG patterns at the spontaneous onset of labour.
168 n sheep fetuses (n = 9) to analyse: (1) 24 h ECoG patterns, (2) relationships between ECoG and myomet
169                             Twenty-four hour ECoG rhythms disappeared 1 day before the spontaneous on
170 derlying cortical population and studied how ECoG power varies with changes in firing rate versus the
171                                     However, ECoG high-gamma activity was much more sensitive to incr
172  activity during movement, we analysed human ECoG and subthalamic nucleus (STN) unit activity during
173 d the detection of time of grasps from human ECoG recordings during a sequence of natural and continu
174  percentage of time spent and duration of HV ECoG increased, and percentage of time spent in LV decre
175 tcome may be modest in the presence of ictal ECoG and neuroimaging data.
176                                 Increases in ECoG gamma power (70-100 Hz) were observed in response t
177 ctral power of low-frequency oscillations in ECoG recordings of R6/2 mice is diminished while the spe
178  down to the sub-millimeter spatial scale in ECoG despite the effects of volume conduction, justifyin
179 d to help localize the seizure onset zone in ECoG recordings.
180 rip-force decoding performance of individual ECoG channels across patients by using their connectomic
181  sites at which LC efferents could influence ECoG and HEEG are the medial septum/vertical limb of the
182  neuroimaging findings, ictal and interictal ECoG measures were preoperatively obtained.
183 s generating IEDs on baseline intraoperative ECoG (P = .02) were associated with excellent outcomes i
184 pilepsy surgery with repeated intraoperative ECoG measurements.
185 xploring critical brain dynamics in invasive ECoG recordings from multiple sessions with a single mac
186  whole-brain, interregional and band-limited ECoG networks from a large cohort-in this case, of indiv
187                          The stimulus-locked ECoG component sums contrast approximately linearly acro
188 gher signal-to-noise ratio compared to macro-ECoG and SEEG.
189 al distinction using intracranially measured ECoG signals from the human visual cortex in 14 patients
190           We used two-dimensional (2D) micro-ECoG grids to record intra-operatively in humans and dur
191 onduction, justifying the use of dense micro-ECoG grids.
192   We applied the proposed algorithm to 5-min ECoG recordings from human primary auditory cortex obtai
193 tra-flexible, micro-electrocorticography (mu-ECoG) arrays with platinum (Pt) or glassy carbon (GC) el
194 ed a novel technique of analyzing multihuman ECoG recordings to identify cortical regions most releva
195 measured laser Doppler CBF (LD-CBF), tP(O2), ECoG and spectral edge frequency-90 (SEF(90)) in respons
196 yses showed that higher decoding accuracy of ECoG compared with local field potential was not because
197 nl), elicited robust bilateral activation of ECoG and HEEG.
198 oss individuals make the network analysis of ECoG data challenging.
199 ctrical stimulation and separate analysis of ECoG gamma changes during spontaneous inter-personal con
200       Given the flexibility in the design of ECoG grids, which is only increasing, it remains an open
201 ClusterFlow, for the detailed exploration of ECoG data.
202 e for evaluating the required granularity of ECoG recording in humans and experimental animals.
203                     Yet, the invasiveness of ECoG, incomplete cortical coverage, and variability in e
204                 However, the localization of ECoG signals across the surface of the brain and the spa
205  between correlative versus causal nature of ECoG and EBS, respectively, and provides important insig
206 , we characterized the basic organization of ECoG networks, including frequency-specific architecture
207 e, in shaping the brain-wide organization of ECoG networks, of communication along white matter pathw
208                        Passive recordings of ECoG gamma activity may be done simultaneously at all el
209 combined, the specificity and sensitivity of ECoG HGA with respect to ECS were 84% and 43%, respectiv
210 culation, the sensitivity and specificity of ECoG HGA were estimated relative to both ECS-induced imp
211 er with significant HGA), the specificity of ECoG HGA with respect to ECS was 78% for naming and 81%
212     Here, we estimated the spatial spread of ECoG in five behaving monkeys using two different approa
213                        The spatial spread of ECoG was surprisingly local (diameter ~3 mm), only 3 tim
214 requires the estimation of spatial spread of ECoG.
215 portant to determine the "spatial spread" of ECoG (i.e., the extent of cortical tissue that contribut
216 rovide further evidence for the stability of ECoG for speech-based BCIs.
217 e BCI control by leveraging the stability of ECoG interfaces and neural plasticity.
218     Overall, our results validate the use of ECoG in clinical and basic cognitive research.
219      Our results further validate the use of ECoG in clinical and basic cognitive research.SIGNIFICAN
220 e evaluation is needed to clarify the use of ECoG in tailoring temporal lobectomy.
221 nique can be used to evaluate the utility of ECoG biomarkers in epilepsy presurgical evaluation.
222  the potential effects of neuronal firing on ECoG, we developed a model to estimate ECoG power genera
223   Using scRNA-seq and intraoperative patient ECoG recordings, we show that tumors from seizure patien
224 izure recurrence was presence of FRs in post-ECoG for all tailoring approaches.
225                The occurrence of FRs in post-ECoG, given FRs in pre-ECoG (+/-, +/+), predicted outcom
226 nd spikes in combined pre- and postresection ECoG predict surgical outcome in different tailoring app
227 50 Hz), and spikes in pre- and postresection ECoG sampled at 2,048 Hz in people with refractory focal
228 rrence of FRs in post-ECoG, given FRs in pre-ECoG (+/-, +/+), predicted outcome (hazard ratio, 3.13;
229 e of resected FRs, ripples, or spikes in pre-ECoG did not predict outcome.
230    Seven of 8 patients without spikes in pre-ECoG were seizure free.
231     In addition to rhythmic brain processes, ECoG potentials also reveal a spectrally broadband motif
232 terregional interactions from a word reading ECoG dataset.
233 ing mechanism using intracranial recordings (ECoG), in 12 patients undergoing epilepsy monitoring eng
234                    Across all brain regions, ECoG activity in the gamma and beta bands explains 22% o
235      This study indicates that event-related ECoG HGA during confrontation naming predicts ECS interf
236                        Using high-resolution ECoG during awake tumor surgery in the left perisylvian
237 ine with existing literature, face-selective ECoG responses were present in both left and right FG si
238   We identified FG sites with face-selective ECoG responses, and recorded perceptual reports during E
239 ques (for some stimulus conditions, separate ECoG and microelectrode arrays in two additional male ma
240 ults were obtained using a model to simulate ECoG as a sum of LFPs of varying electrode sizes.
241  increased high-gamma power in the simulated ECoG data.
242 ns occurred during 65.9 days of simultaneous ECoG/EEG monitoring.
243  mechanisms at the spatial scale of a single ECoG electrode.
244                            High-voltage slow ECoG activity (HV) and low-voltage fast ECoG activity (L
245 tic resonance imaging-negative TLE, standard ECoG performed at the time of surgery, and a minimum fol
246 ingle cortical column.SIGNIFICANCE STATEMENT ECoG methodologically bridges basic neuroscience and und
247                                     Subdural ECoG signals were recorded while each patient verbally n
248          High density scalp EEG and subdural ECoG recordings provide an opportunity to map the electr
249 erictal spike frequency measures on subdural ECoG recording may both be useful in predicting the long
250                                Surprisingly, ECoG had higher information and decodability than all ot
251  a novel multi-scale visual analysis system, ECoG ClusterFlow, for the detailed exploration of ECoG d
252                          We demonstrate that ECoG is superior to subthalamic LFP for accurate grip-fo
253                 This study demonstrates that ECoG signals recorded from the sensorimotor cortex can b
254                 We experimentally found that ECoG responses were anisotropically localized to a corti
255  In the fetus, we tested the hypothesis that ECoG pattern is associated closely with cerebral oxygena
256                     Our results suggest that ECoG is a local signal (diameter of ~3 mm), which can pr
257  electroencephalogram (EEG), suggesting that ECoG is more like LFP than EEG.
258  and conceptual information, suggesting that ECoG recordings can reveal neural correlates of specific
259     Its favourable specificity suggests that ECoG HGA can be used to construct a preliminary function
260                                We found that ECoGs were highly informative and outperformed other sig
261                                          The ECoG grid was explanted 28 days post-implantation with n
262                                          The ECoG reference electrode is identical to the ECoG record
263                                          The ECoG signals monitored along the strip revealed that SCD
264                                          The ECoG was analyzed 2, 5, and 9 weeks after intraperitonea
265 ver, rarely been considered in assessing the ECoG.
266                                 However, the ECoG spread is currently unknown; even the spread of loc
267  patient had no epileptiform activity in the ECoG and good outcome.
268 nticorrelations that are not apparent in the ECoG data, it enhances the neuronal-hemodynamic correspo
269 ithin the first 5 weeks of KA injection, the ECoG power shifted towards the lower-frequency range.
270 cile these observations by interrogating the ECoG recordings of 18 presurgical human patients (8 fema
271 teral ventricle were used to investigate the ECoG frequency responses of intracerebroventricularly ap
272               In R6/2 mice, the power of the ECoG in lower frequencies (0.5-4 Hz) was diminished whil
273 accurately captures the main features of the ECoG time series; in the simulation, the stimulus-locked
274 d because of larger spatial summation of the ECoG.
275 be detected, located and treated through the ECoG system.
276 ECoG reference electrode is identical to the ECoG recording electrodes to significantly improve DC st
277  and clonidine were potentiated, whereas the ECoG effects mediated by GABAA and GABAB receptors remai
278                                        These ECoG events, which have many similarities to spike-wave-
279 e normoxic fetus, CBF was closely related to ECoG state, but this association was less evident during
280          To allow intraoperative topographic ECoG analysis, a computer program has been developed to
281 of theta and alpha band frequencies to total ECoG activity was significantly lower in the pre-existin
282                  Projections of single-trial ECoG data onto these features establish low-dimensional
283      These observations suggest that the two ECoG components arise from different neural sources with
284                                        Using ECoG recordings from humans and LFP recordings from cats
285 nces of gamma/high-gamma power in LFP versus ECoG in up to four monkeys, and found them to be surpris
286 roelectrodes are further verified by in-vivo ECoG recordings combined with optogenetics in mice.
287 d increased high voltage and sub-low voltage ECoG and EOG activities, as well as decreased nuchal EMG
288 non-epileptic channels of 47 patients, whose ECoG sampling involved all four lobes.
289                                 The wireless ECoG system has low energy consumption and high brain sp
290                                         With ECoG, we found evidence of propagation of the temporal f
291                               Coherence with ECoG at 5-15 Hz was observed throughout STN, though cohe
292 s, LD-CBF and CMRO(2) correlated highly with ECoG state.
293               Focal cooling was induced with ECoG headsets engineered for calibrated passive heat dis

 
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