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1 mic activity during a task-free period (the "resting state").
2  two oxidation equivalents above the Fe(III) resting state.
3 ively degraded through the proteasome in the resting state.
4 here CMHs are the catalyst spent form or its resting state.
5 , and bromide efficiently restore the ferric resting state.
6  correlates to the global fMRI signal in the resting state.
7 ur data posits a proton-bound, but occluded, resting state.
8 rements during substrate turnover and in the resting state.
9 s with successive oxidations from the cubane resting state.
10 ls with leaky gates that conduct ions in the resting state.
11 at two oxidation levels above an all-Co(III) resting state.
12 activating histone modifications even in the resting state.
13 working state and functional connectivity at resting state.
14  regulated by Fic-mediated AMPylation during resting states.
15 nd determined to be interconverting catalyst resting states.
16  By correlating spontaneous activity during "resting states" [1], studies of intrinsic brain networks
17 tial correlation analysis of cross-sectional resting-state (18)F-fluorodeoxyglucose positron emission
18                                    Multiecho resting-state acquisition, combined with micromovement c
19                   Additional measurements of resting state activity (eyes closed) tested for segregat
20 ter life, reinforcing the functional role of resting-state activity for effective cognitive processin
21                Connectivity mapping based on resting-state activity in mice has revealed functional m
22               Furthermore, the frontocentral resting-state activity predicted the individual magnitud
23         Nevertheless, the functional role of resting-state activity remains unclear.
24 cumulating data suggest that some cerebellar resting-state alterations may constitute a key candidate
25                                       In the resting-state analysis, the ventral ATL (vATL) and anter
26 quency, [Na(+)]sm is bounded between 9 mM at resting state and 11.5 mM; and 3) the cells can maintain
27  participants underwent fMRI scanning during resting state and a response inhibition task that robust
28 tional magnetic resonance imaging included a resting state and an experimental paradigm focusing on t
29 s shown to enhance mPFC/ACC activity even at resting state and improve cognitive function in patients
30 s of an enzyme from Neurospora crassa in the resting state and of a copper(II) dioxo intermediate com
31  from Mycobacterium tuberculosis: one in its resting state and one at an intermediate state during tu
32 ctional roles of PCC-ACC connectivity in the resting state and provides insights into the dynamic rel
33 e and allowed identification of the catalyst resting state and turnover-rate limiting step.
34 at cognitive dissonance is reflected in both resting-state and choice-related activity of the prefron
35                                   Functional resting-state and diffusion magnetic resonance imaging d
36  experiment in the laboratory, together with resting-state and localizer fMRI scans, after the baseli
37                                Specifically, resting-state and null-task demand conditions were assoc
38 ssessed the effects of acute cocaine on both resting-state and stimulation responses to investigate c
39                             Here we combined resting-state and task-driven functional magnetic resona
40 t as an additive upon the reaction, catalyst resting state, and turnover-rate limiting step has been
41  and local correlations of BOLD signals in a resting state, and whether these spatial relationships v
42 n architecture reverted to a more segregated resting-state architecture both immediately before and a
43 hed controls with fMRI during both task-free resting state baseline and active memory encoding.
44          Long-term effects of metreleptin on resting state brain connectivity in treatment-naive pati
45 e that the global directionality patterns in resting state brain networks can be predicted solely by
46                         We hypothesized that resting state brain oscillations will show unique defici
47                          Although changes in resting-state brain connectivity are a transdiagnostic k
48                                          The resting-state brain regional connectivity had no signifi
49 e base and metal open site are masked in the resting state but revealed within the catalytic cycle by
50 a-ball and thumb domains reside apart in the resting state but that they become closer to each other
51         Such chelates are the major catalyst resting states but are in rapid equilibrium with ethylen
52 roducing adenomas conducts omega-currents in resting state, but not during voltage-sensing domain act
53 ggest that NEMO may be auto-inhibited in the resting state by intramolecular interactions and that du
54 bipolar disorder was associated with reduced resting-state cohesiveness of the sensorimotor network i
55                           Activity flow over resting-state connections thus provides a large-scale ne
56                     Moreover, changes in ASD resting state connectivity following the training were c
57 ssed adolescents show limited task-evoked vs resting-state connectivity (termed 'inflexibility') betw
58           Individual differences in baseline resting-state connectivity can predict idiosyncratic com
59 or memories could be predicted from baseline resting-state connectivity in locomotor-related networks
60 encourage testing of the clinical utility of resting-state connectivity in PET data.
61 proach on two independent publicly-available resting-state connectome data sets (the Human Connectome
62 the human brain, spontaneous activity during resting state consists of rapid transitions between func
63 vations and the local profiles of intervoxel resting state correlations for both high-resolution BOLD
64 , functional clustering based on independent resting state data revealed that DMN and shift regions c
65 ) in the same group of subjects, we analyzed resting-state data from the core of the default-mode net
66 atum was indicated by seed-based analyses on resting-state data.
67                          In two independent "resting-state" datasets (electroencephalography surface
68 em cells out of the proliferative and into a resting state during muscle growth.
69 se functional connectivity using the average resting state EEG of 311 tinnitus patients and 256 healt
70 dren with ASD were abnormally organized with resting state EEG.
71                                  Exploratory resting-state EEG analyses before and after the tDCS pro
72  In 65 unmedicated depressed patients 15-min resting-state EEGs were recorded off medication (baselin
73 ranger causality in the alpha band) during a resting state (eyes open) and a passive, serial picture
74 ed a genome-wide association study (GWAS) on resting-state fast beta EEG power.
75 w (the spread of activation amplitudes) over resting-state FC networks allowed prediction of cognitiv
76 we investigate how the switching behavior of resting-state FC relates with cognitive performance in h
77                                          The resting state Fe(III) is unreactive oxidatively.
78  rs-fMRI connectivity.SIGNIFICANCE STATEMENT Resting state fMRI (rs-fMRI) has become an important too
79                                              Resting state fMRI (rs-fMRI) is commonly used to study t
80 om the theory of complex networks to analyze resting state fMRI data of the brains of human subjects
81                                              Resting state fMRI data were collected and seed based fu
82   In the present study, 37 smokers completed resting state fMRI scans during both satiated and 24-h a
83 roups among 80 depressed patients completing resting state fMRI.
84 f the time-shift analysis (TSA) approach for resting-state fMRI (rs-fMRI) blood oxygenation level-dep
85  the brain's functional connectivity (FC) is resting-state fMRI (rs-fMRI).
86 lts suggest that the neural origin of global resting-state fMRI activity is the broadband power fluct
87           As previously reported, seed-based resting-state fMRI analyses revealed that the LC was fun
88                                  Here we use resting-state fMRI data from 176 subjects to show that s
89                                   We analyse resting-state fMRI data from 98 healthy adults previousl
90                       The current study used resting-state fMRI data from a large sample of male and
91           To investigate this issue, we used resting-state fMRI data from a single individual to iden
92 o apply these privacy methods to human brain resting-state fMRI data from a study of major depressive
93  those obtained from simultaneously acquired resting-state fMRI data in 22 middle-aged healthy subjec
94         To test this hypothesis, we acquired resting-state fMRI data in right-handed healthy voluntee
95                               Task-based and resting-state fMRI data were acquired in healthy human a
96 erative matching procedure on each subject's resting-state fMRI data.
97 sing an energy-landscape analysis applied to resting-state fMRI data.
98 ere, we performed a series of task-based and resting-state fMRI experiments to investigate cerebellar
99                                        Human resting-state fMRI has revealed that infraslow fluctuati
100 ration when studying brain organization with resting-state fMRI in the future.
101           Spontaneous activity observed with resting-state fMRI is used widely to uncover the brain's
102                                 Fine-grained resting-state fMRI mapping, graph theory, and intergroup
103 ply the proposed strategy to the analysis of resting-state fMRI measurements-a prototypic data modali
104  that altered brain connectivity detected by resting-state fMRI might serve as an early disease bioma
105 le different mathematical representations of resting-state fMRI patterns can embed diverse informatio
106 ffects of cognitive ability, which makes the resting-state fMRI promising as a translational bridge b
107 d wandering, which occurs unavoidably during resting-state fMRI scans and may induce variability of t
108                   All the subjects underwent resting-state fMRI scans and the data were analyzed by t
109                                      Laminar resting-state fMRI showed directional functional connect
110                                  The current resting-state fMRI study examined the neural correlates
111                                         This resting-state fMRI study suggests that the changed spont
112                                              Resting-state fMRI was administered to 33 cirrhotic pati
113 ng functional connectivity (FC) derived from resting-state fMRI with gold standard structural connect
114 normal controls were recruited and underwent resting-state fMRI, DTI scans, and cognitive assessments
115 d cingulate network connectivity measured by resting-state fMRI, even in the absence of hypometabolis
116                                           In resting-state fMRI, hemodynamic fluctuations have been f
117 rns of functional connectivity observed with resting-state fMRI, respectively.
118 missing hand, as evidenced by task-based and resting-state fMRI.
119 in the context of locomotor adaptation using resting-state fMRI.
120 tal of 637 children 6-12 years old underwent resting-state fMRI.
121 ndering in particular thought domains during resting-state fMRI.
122 nal connectivity analysis indicated impaired resting-state FPCN connectivity in patients, but normal
123  can modulate mental control functionand the resting state functional connectivity (rsFC) of the cogn
124 nt-related spectral decomposition (ERSP) and resting state functional connectivity (rsfcMRI) approach
125                  We examined the whole-brain resting state functional connectivity as measured by ima
126                                        Using resting state functional connectivity in healthy young a
127                                              Resting state functional connectivity is defined in term
128  connectome data (diffusion tractography and resting state functional connectivity) to identify conne
129 icate in humans (154 healthy controls) using resting state functional connectivity, tracing studies c
130 nted for measures of volume and as seeds for resting state functional connectivity.
131 igate the organization of the amygdala using resting state functional magnetic resonance imaging (rsf
132 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Resting state functional magnetic resonance imaging dysf
133 nectivity between different brain areas with resting state functional magnetic resonance imaging in h
134 ar MRI research-particularly structural MRI, resting--state functional MRI, and diffusion tensor imag
135     Published MRI evidence of structural and resting-state functional brain abnormalities in MDD has
136         We then employed a measure of global resting-state functional brain connectivity and follow-u
137 ivoxel pattern analysis, and high-resolution resting-state functional connectivity (RSFC) analyses, w
138 l, specificity, and clinical utility of fMRI resting-state functional connectivity (RSFC) and task-ac
139 CBF) and blood oxygen-level dependent (BOLD) resting-state functional connectivity (RSFC) were measur
140  disorder (MDD) is characterized by abnormal resting-state functional connectivity (RSFC), especially
141                       METHOD: Functional MRI resting-state functional connectivity analyses using a b
142                                  Whole brain resting-state functional connectivity analyses with thes
143 I/II during semantic prediction and enhanced resting-state functional connectivity between hubs of th
144 ifferences in cortical thickness and related resting-state functional connectivity between NTSCUs and
145 ings was also correlated with an increase in resting-state functional connectivity between the mid-in
146  were interrelated, and functional MRI-based resting-state functional connectivity between the ventra
147 e-function relationship, suggesting that the resting-state functional connectivity depends on direct
148 ging-based depression subtypes defined using resting-state functional connectivity differentially ide
149 ed consequences of structural differences on resting-state functional connectivity in cocaine addicti
150 kinson disease (PD) by analyzing whole-brain resting-state functional connectivity in PD patients wit
151                                              Resting-state functional connectivity magnetic resonance
152           Capitalizing on recent advances in resting-state functional connectivity magnetic resonance
153 d the subgenual cingulate was assessed using resting-state functional connectivity magnetic resonance
154 rbation on global network organization using resting-state functional connectivity MRI.
155 ion The findings show a PD-related effect on resting-state functional connectivity of posterior and p
156 AC4 expression, fear-potentiated startle and resting-state functional connectivity of the amygdala in
157                                          The resting-state functional connectivity of the following t
158 vity in cocaine addiction and tested whether resting-state functional connectivity of the identified
159 ortical thickness of the identified regions, resting-state functional connectivity of the identified
160                             Here, we studied resting-state functional connectivity of the left IFG in
161 ccessful antipsychotic drug treatment alters resting-state functional connectivity of the striatum.
162  visceral interoceptive attention task and a resting-state functional connectivity scan.
163     In the present study, we used seed-based resting-state functional connectivity to examine the imp
164 cale of the Behavioral Activation Scale) and resting-state functional connectivity using multivariate
165                                              Resting-state functional connectivity was unrelated to m
166 ning and cognitive flexibility to underlying resting-state functional connectivity.
167 s have described the spatial overlap between resting-state functional correlation (RSFC) subnetworks
168                                    Moreover, resting-state functional coupling was decreased during a
169 examine the dimensional relationship between resting-state functional dysconnectivity and severity of
170 rpose To prospectively investigate, by using resting-state functional magnetic resonance (MR) imaging
171 matched healthy controls were compared using resting-state functional Magnetic Resonance Imaging (fMR
172                            Major advances in resting-state functional magnetic resonance imaging (fMR
173                  We performed a longitudinal resting-state functional magnetic resonance imaging (fMR
174                                              Resting-state functional magnetic resonance imaging (fMR
175  we used magnetic resonance spectroscopy and resting-state functional magnetic resonance imaging (MRI
176 er FC, estimates temporal correlation of the resting-state functional magnetic resonance imaging (rs-
177  As a noninvasive and "task-free" technique, resting-state functional magnetic resonance imaging (rs-
178 tructure and functional connectivity through resting-state functional magnetic resonance imaging (rsf
179 (D2R) antagonist amisulpride] in humans with resting-state functional magnetic resonance imaging and
180                                      We used resting-state functional magnetic resonance imaging and
181 functional and structural connectivity using resting-state functional magnetic resonance imaging and
182 n, graph theory-based method, was applied to resting-state functional magnetic resonance imaging data
183                   Subsequently, we collected resting-state functional magnetic resonance imaging data
184 rbitofrontal cortex of MAM rats showed lower resting-state functional magnetic resonance imaging func
185 vioral measures, psychiatric assessment, and resting-state functional magnetic resonance imaging in a
186 s used to disclose the effects of DBS during resting-state functional Magnetic Resonance Imaging in t
187 on (AD signature cortical thickness; ADSCT), resting-state functional magnetic resonance imaging of f
188                                 We performed resting-state functional magnetic resonance imaging of p
189                                              Resting-state functional magnetic resonance imaging scan
190                                  We acquired resting-state functional magnetic resonance imaging scan
191 ctroscopy to quantify GABA levels as well as resting-state functional magnetic resonance imaging to a
192                                              Resting-state functional magnetic resonance imaging was
193                                        Using resting-state functional magnetic resonance imaging we c
194                                        Using resting-state functional magnetic resonance imaging, we
195 participants underwent cognitive testing and resting-state functional magnetic resonance imaging.
196 rticipants from 13 to 30 years old underwent resting-state functional magnetic resonance imaging.
197 activation by c-Fos immunohistochemistry and resting-state functional magnetic resonance imaging; and
198 linical placebo response is predictable from resting-state functional magnetic-resonance-imaging (fMR
199  20 healthy control subjects underwent a 3-T resting-state functional MR imaging and static posturogr
200                                              Resting-state functional MR imaging connectivity network
201                                 ICA of group resting-state functional MR imaging data revealed promin
202 etwork (ECN) by using seed-based analysis of resting-state functional MR imaging data.
203                  Reproducibility analysis of resting-state functional MR imaging maps from four repea
204 ement of hemispheric language dominance with resting-state functional MR imaging was highly concordan
205 ating-current stimulation (tACS) [8-12] with resting-state functional MRI (fMRI) [13] to follow both
206                             The authors used resting-state functional MRI (fMRI) to develop a prognos
207 a distributed reward network, assessed using resting-state functional MRI (fMRI), to predict the onse
208           Diffusion tensor imaging (DTI) and resting-state functional MRI (rfMRI) data were acquired
209 o identify constituents of the rat DMN using resting-state functional MRI (rs-fMRI) and diffusion ten
210 etworks by applying a clustering analysis on resting-state functional MRI (RSfMRI) data from white-ma
211 ow-up functional connectivity analyses using resting-state functional MRI collected in the same parti
212 in network topology in head-motion-corrected resting-state functional MRI data acquired from 78 patie
213         Here, using a large multisite study, resting-state functional MRI data were examined in young
214                                              Resting-state functional MRI may represent a promising t
215                                      We used resting-state functional MRI recordings in 27 patients w
216                       We applied novel fetal resting-state functional MRI to measure brain function i
217 typically developing (TD) controls underwent resting-state functional MRI, and functional connectivit
218 halamo-frontal functional connectivity using resting-state functional MRI.
219 transfer mapping-to test the hypothesis that resting-state functional network topology describes the
220 e to conduct a quantitative meta-analysis of resting-state functional neuroimaging studies of PTSD th
221               Our data demonstrated that the resting-state GABA concentration predicts neural changes
222 signal changes during sematic processing and resting-state GABA concentrations in the ATL.
223 ficant, duration-dependent decrease in local resting-state GABAA inhibition, as quantified by short i
224 s the G protein complex by keeping it in the resting state (GDP-bound).
225 that these networks are highly correlated to resting-state gray-matter networks, highlighting their f
226                   Characteristic patterns of resting-state hemodynamics were accompanied by more rapi
227                      Here we assess LRTCs in resting state human EEG data during a 40-hour sleep depr
228 ate alterations of brain activity during the resting state in chronic smokers using fractional amplit
229 s assessed brain spontaneous activity in the resting state in chronic smokers.
230 ibition maintains a low-correlation striatal resting state in the presence of cortical neuronal avala
231 hich is considered the hallmark of the brain resting state, in photosensitive patients and in people
232 related with spontaneous activity during the resting state indexed by the Power Law Exponent (PLE) in
233 a suggest that reversible protonation of the resting state is likely occurring, and we term this stat
234                    Individuals with stronger resting-state long-range temporal correlations demonstra
235 ional magnetic resonance imaging (fMRI) with resting-state magnetic resonance spectroscopy (MRS) to m
236                  Patients (n = 28) underwent resting-state magnetoencephalography and neuropsychologi
237 his in a cross-sectional sample, we recorded resting-state magnetoencephalography from 134 children a
238  inherent problem with side-by-side turnover/resting state measurements, i.e., the difficulty to desi
239 isorders [5], highlighting the importance of resting-state measurements for understanding brain funct
240                                 To this end, resting-state MEG data of 22 healthy adults was analysed
241 red by diffusion tensor imaging and increase resting-state midline frontal theta activity.
242 ations alone are sufficient in understanding resting-state modularity.
243  reasoning complexity resulted in merging of resting-state modules.
244                      Classification based on resting-state MRI (85% sensitivity, 83% specificity) and
245 cts on the strength and spatial structure of resting-state MRI functional connectivity.
246 functional magnetic resonance imaging [MRI], resting-state MRI, or diffusion tensor imaging) in combi
247 ent brain locations but localize to a unique resting state network, providing insight into the neurob
248 that hippocampal glutamatergic elevation and resting-state network alterations may arise from NMDAR h
249 ted based on estimated activity flow through resting-state network connections.
250                                              Resting-state network connectivity has been associated w
251 in, demonstrating the cognitive relevance of resting-state network topology.
252 d was applied to identify the cerebellar DNs resting-state network; first-level and high-level analys
253 rks are modest when compared with intrinsic "resting-state" network architecture.
254 ndard deviation of BOLD signal amplitude) in resting state networks (RSNs) associated with cognitive
255 cific spatiotemporal patterns in the form of resting state networks (RSNs).
256  of this activity is spatially correlated to resting state networks derived from rs-fMRI.
257 ce of abnormal connectivity patterns between resting state networks in neuropsychiatric disorders, in
258 al MRI (fMRI) studies reported disruption of resting-state networks (RSNs) in several neuropsychiatri
259 Spontaneous brain activity is organized into resting-state networks (RSNs) involved in internally-gui
260 stantly active as they interact in so-called resting-state networks (RSNs).
261                We first identified canonical resting-state networks at the individual subject level u
262 ehavioural impairment and the segregation of resting-state networks empirically measured.
263 sults in the net behavior of nodes composing resting-state networks identified using functional magne
264  identifies a need for studies investigating resting-state networks in the human brain to measure and
265 althy controls, particularly at the level of resting-state networks.
266  latency patterns within and across cortical resting-state networks.
267               Neurovascular coupling between resting-state neural activity and hemodynamics was robus
268  more rapidly changing bilateral patterns of resting-state neural activity.
269 cterize the spatial and temporal patterns of resting state neuronal synchronizations in primary progr
270 ted copper(I) dihydridoborate complex is the resting state of the catalyst in this case.
271                                          The resting state of the catalyst is an NHC-Ni(eta(6)-arene)
272         With DTBM-SEGPHOS as the ligand, the resting state of the catalyst, which is also a catalytic
273 (2+) affinity of the RyR (or "stabilize" the resting state of the channel) and suggest that the accum
274 iron-borohydrido-hydride complex as a likely resting state of the P3(B)Fe catalyst system.
275 roach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in
276 ing fear extinction have been observed using resting-state or functional activation measures.
277   It is unknown, however, whether endogenous resting state oscillations are similarly lateralized in
278 mmunocytochemical staining revealed that, at resting state, p47phox colocalizes with NOX2, whereas NO
279    Arterial spin labelling was used to index resting-state perfusion and high-resolution anatomical i
280 ree period (WFP) is considered essential for resting-state physiological assessment of coronary steno
281                                              Resting-state regional cerebral blood flow (CBF) can be
282                                              Resting-state (rs)-fMRI and diffusion weighted imaging (
283 1 males and 28 females) underwent an initial resting-state scan, followed by a cognitive reasoning ta
284 t levels of complexity, followed by a second resting-state scan.
285 ntipsychotic drugs (<2 years), who underwent resting state scanning while entering 12 weeks of prospe
286 t five functional magnetic resonance imaging resting state scans during treatment.
287 >10(4) faster than the unobserved IET in the resting state, showing that CuZ degrees is the catalytic
288 also displayed a greater variety of temporal resting-state signal pattern changes after treatment.
289                                              Resting-state signals in blood-oxygenation-level-depende
290 rrelated with tinnitus loudness, we assessed resting-state source-localized EEG before and after one
291                                  The typical resting-state structure consisted of a high-frequency oc
292 xample, older adults exhibit less segregated resting-state subnetworks relative to younger adults.
293 anization was stable across task-engaged and resting states, suggesting that abstract context represe
294  effects, and identification of the catalyst resting state support turnover limiting C-H activation f
295  mode network connectivity during a separate resting-state task.
296 t enables restoration of the receptor to its resting state, thereby completing the gating cycle.
297                           MecA converts this resting state to an active planar ring structure by bind
298   These results indicate that the post-task, resting-state topology of the brain network is dynamical
299 s demonstrate that intrinsic fluctuations in resting-state variability exhibit unique maturation traj
300 uring catalysis, the presence of two anionic resting states was revealed, Ru-dihydride (3(-)) and Ru-

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