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1 er, blockade of ISR activation prevented the behavioral abnormalities as well as increased cortical n
2 lation to cerebellar circuit dysfunction and behavioral abnormalities in ASD.
3 patients into antibiotic-treated mice caused behavioral abnormalities such as psychomotor hyperactivi
4 ortex (PFC) or the hippocampus would produce behavioral abnormalities that could be attributed to ast
5 lasticity, contributing to autism-associated behavioral abnormalities.
6 d length and phase in darkness, enabling the behavioral adjustment to change day-night cycles.
7 tubules, presynaptic vesicle alteration, and behavioral alterations.
8                        These connectomic and behavioral analyses therefore reveal further complexity
9 uencing (MoSeq) is an ethologically inspired behavioral analysis method that identifies modular compo
10     Employing novel experimental systems for behavioral analysis of both subjects and stimuli during
11 r (sGRm) normalized plasma GC levels and all behavioral and biochemical parameters analyzed.
12                                 We performed behavioral and brain-based experiments, with the latter
13                  These results provide novel behavioral and brain-based targets for treatment of pedi
14 remodeling in the medial PFC, and subsequent behavioral and cognitive consequences.
15  of neurons has been observed during various behavioral and cognitive processes, but the underlying c
16    Our results demonstrate that NA underpins behavioral and computational responses to uncertainty.
17 ulation on EEG outlasted SCS duration on the behavioral and EEG levels.
18 we tested the impact of PFC-targeted tDCS on behavioral and electrophysiological markers of proactive
19                                   We examine behavioral and neural data from a task-set learning expe
20                          The similarities in behavioral and neural effects have been puzzling because
21 icrobiome causally impact the development of behavioral and neuropathological endophenotypes of disea
22                                         This behavioral and physical coupling mechanism may account f
23 ecific expression of Tmc2b-mEGFP rescues the behavioral and physiological deficits in tmc triple muta
24 olestus, exhibit epidemiologically important behavioral and physiological differences, but the whole-
25                                  An animal's behavioral and physiological response to stressors inclu
26 en intact retinal locations is less than the behavioral and physiological upper disparity limit at th
27 tual disability, subtle facial dysmorphisms, behavioral and psychiatric problems.
28                               We conducted 8 behavioral and psychological surveys and analyzed cytoki
29                          Measuring circadian behavioral and SCN rhythmicity in these temporally chime
30 ds of interacting biological, socioeconomic, behavioral, and institutional factors, vector-borne dise
31 nce threat while blunting cardiovascular and behavioral anticipatory arousal to high-value food rewar
32  is firmly established as a key regulator of behavioral arousal, sleep, and wakefulness and has been
33 We used a neuroethologic approach, including behavioral assays and multineuronal recording techniques
34                                              Behavioral assays show that butterflies use wings to sen
35 ere tested using a comprehensive sequence of behavioral assays, as well as measures of health and dev
36                          Easily quantifiable behavioral assessment in the mouse orofacial area remain
37 onality of invertebrate traces [8], and even behavioral asymmetry in fossil non-human primates [9, 10
38 cific groups of people who share patterns of behavioral change might increase the impact of behaviora
39  signaling in immune cells can contribute to behavioral changes associated with brain infection, offe
40           We also found that lithium-induced behavioral changes in mice were phenocopied by modulatio
41 e maternal and fetal compartments and causes behavioral changes in offspring.
42 voted to the data-driven characterization of behavioral changes induced by infectious diseases.
43     We predicted the effect of treatment and behavioral changes on HCV incidence among HIV-positive G
44 t experience with illnesses, and the type of behavioral changes voluntarily implemented by each parti
45 dy S. pneumoniae cell-cell communication and behavioral changes, as well as attenuate S. pneumoniae i
46 g pain and looked for co-adaptive neural and behavioral changes.
47  to estimate the parameters underlying these behavioral characteristics, with quantitative data encod
48            Here we performed a comprehensive behavioral characterization of 16p11.2 duplication mice
49 ities, body parts, and time points to inform behavioral choice, but the relevant sensory comparisons
50  (re)organization that potentially subserves behavioral compensation.
51 ovides awareness for the potential long-term behavioral consequences associated with juvenile ketamin
52 s) for enhanced MRI, their neurochemical and behavioral consequences, if any, remain poorly understoo
53 activity-driven neuronal synaptic events and behavioral consequences, we chemogenetically activated a
54                              To evaluate the behavioral consequences, we trained mice in nose-poking
55 tral visual processing and perception across behavioral contexts.
56 and noradrenaline likely indicate changes in behavioral control that underlie adaptations to the cave
57 inhibitory synapse, in the NAc that modifies behavioral coping mechanisms and stress resiliency in mi
58                                  The precise behavioral correlates of desynchronization and its globa
59 tion of consciousness, often without further behavioral corroboration.
60 fter seven-day oral metronidazole treatment: behavioral counseling only (control), or counseling plus
61     Having an intermediate or ideal level of behavioral CVH in both midlife and late life (versus poo
62                            Here we interpret behavioral data by assuming an agent behaves rationally-
63 stage of syphilis (primary vs secondary) and behavioral data collected by computer-assisted self-inte
64 levels ([Formula: see text] = 0.40) based on behavioral data collected from 624 volunteers over 30 co
65  MoSeq can meaningfully organize large-scale behavioral data, illustrate the power of a fundamentally
66                         However, despite the behavioral data, there is no neurobiological evidence de
67 ging availability of neural, anatomical, and behavioral data, we believe that now is the time to crea
68 s measures, while failing to account for our behavioral data.
69 ith amyloid positron emission tomography and behavioral data.
70                                         Many behavioral defects in the grin1 double-mutant larvae, in
71 ilure of antipsychotic drugs to rescue adult behavioral defects.
72 exposure and the development of learning and behavioral deficiencies.
73 recise forelimb placement emerged as a novel behavioral deficit unpredicted by our previous study of
74 ice, in relationship with the development of behavioral deficits and tau neuropathology.
75                  ASD-associated cellular and behavioral deficits could be rescued by pharmacological
76 IT population code and produced commensurate behavioral deficits for late-solved images.
77 biota transplantation from MIA mice produced behavioral deficits in antibiotic-treated mock mice.
78  Deletion of CypD also prevented KET-induced behavioral deficits in cognitive flexibility, social int
79 2 in Mecp2-null neurons rescues synaptic and behavioral deficits in Mecp2 conditional knockout mice,
80 xin domoic acid (DomA) produces long-lasting behavioral deficits in rodent and primate models; howeve
81 linical studies have reported improvement of behavioral deficits in the Ts65Dn mouse model of Down sy
82  ameliorates locomotor impairment and social behavioral deficits in these animals.
83 BAC versus NT mice and neuropathological and behavioral deficits similar to those shown by Liu et al.
84 everses both abnormal gamma oscillations and behavioral deficits with high correlation by pharmacolog
85 ntusion, Hematoxylin and Eosin staining, and behavioral deficits with open field activity.
86 d for E. coli to exacerbate alphaSyn-induced behavioral deficits, including intestinal and motor impa
87 lso reversed abnormal gamma oscillations and behavioral deficits.
88 ts show that cortical state is controlled by behavioral demands and arousal by asymmetrically modulat
89                  One of the most widely used behavioral diagnostic tools is the Autism Diagnostic Obs
90 ere also predictive, particularly scores for behavioral disinhibition and major depressive disorder.
91 was found to have increased genetic risk for behavioral disinhibition, major depressive disorder, dep
92 lly promoted BDNF expression and rescued the behavioral disorders which were caused by CRS.
93     Remarkably, despite these functional and behavioral distinctions, all ~15 individual synapses on
94 s infection, colonic hypersensitivity (CHS), behavioral disturbances and gut microbiota changes.
95 y predicting increased susceptibility across behavioral domains.
96 nd across societies, over history, and among behavioral domains.
97 erence test, we reveal marked differences in behavioral dynamics between the strains, suggesting stro
98               A significant shared attention behavioral effect was found in the attention task but no
99  its intracellular delivery was required for behavioral effect.
100 ith subtle yet significant psychological and behavioral effects in children.
101 armacokinetic (PK), pharmacodynamic (PD) and behavioral effects of a novel ghrelin receptor inverse a
102 ining NMDAR in mediating antidepressant-like behavioral effects of AGN-241751.
103                      Finally, the beneficial behavioral effects of VU0155041 treatment in morphine ab
104 ants such as d-amphetamine (AMPH) often have behavioral effects that appear paradoxical within the fr
105 neuron transplantation can exert therapeutic behavioral effects without necessarily restoring wild-ty
106 amics can underlie these seemingly different behavioral effects.
107 ormation in this process, layer (L) 6, using behavioral, electrophysiological and imaging methods in
108 the modulation, structuring and execution of behavioral elements are still unclear.
109 ure at birth will reveal structural basis of behavioral emergence in typical development and identify
110 dies have proved inconsistent across several behavioral endpoints thought to be dependent on dentate
111 zed across animals and were seen in multiple behavioral environments.
112 with potential far-reaching implications for behavioral epigenetics.
113 modalities (i.e. genetic, genomic, clinical, behavioral, etc.).
114                                 While extant behavioral evidence documents both types of CCD predicti
115                                       Recent behavioral evidence suggests that we construct an implic
116 n is the gold standard for understanding the behavioral expression of anxiety and its neural circuitr
117 sed the effects of NE activity in the CeA on behavioral expression using receptor-specific pharmacolo
118 re used to assess demographic, clinical, and behavioral factors for PWID with HIV diagnosed during 20
119            However, the exact combination of behavioral factors related to AD pathology remains uncle
120 ted phenotyping platform that collects >2000 behavioral features based on machine learning.
121   The stability allowed reliable decoding of behavioral features for the entire timespan, while fixed
122 male participants) investigated clinical and behavioral features of individuals ascertained for the p
123                     These multimodal imaging-behavioral findings reveal the complex cascade of change
124                                        PK/PD/behavioral findings support continued research of PF-519
125 w evidence that may reconcile the neural and behavioral findings.
126                            Thus, deficits in behavioral flexibility observed in disorders linked to d
127 tic basis of inter-individual differences in behavioral flexibility using the model nematode C. elega
128      Striatal circuits must be modulated for behavioral flexibility, the ability to adapt to environm
129 ory strength but reduced memory fidelity and behavioral flexibility.
130 a that ascribes to PFo an important role for behavioral flexibility.SIGNIFICANCE STATEMENT We can fle
131  the dimensions of emotional, cognitive, and behavioral functioning that underlie ADHD and other exis
132  We propose that the ventral circuit defines behavioral goals, and the dorsal circuit orchestrates be
133  practices that did not implement or sustain behavioral health integration, potentially limiting gene
134 eview research into two potential sources of behavioral heterogeneity: individual differences in deci
135                                              Behavioral, histological, mass spectrometry imaging, and
136                    Desflurane did not induce behavioral hyperactivity and isoflurane only caused beha
137 imary somatosensory cortex of young mice and behavioral hyperactivity in the mice at one minute after
138 KO rats showed gamma power abnormalities and behavioral hyperactivity that were consistent with obser
139 ral hyperactivity and isoflurane only caused behavioral hyperactivity with borderline significance.
140 le standard, but also portends consequential behavioral implications: People prefer to allocate stric
141 tiple levels including molecular, brain, and behavioral indicates that these epigenetic biomarkers ma
142 x-specific response patterns despite similar behavioral indicators of pair-bond establishment.
143                                       Infant behavioral inhibition was also a specific risk factor fo
144 aditional measures of behavioral risk (i.e., behavioral inhibition) to provide more robust classifica
145              Vigilance is a key component of behavioral inhibition, a personality trait that is a ris
146         Characterization of our NHP model of behavioral inhibition, which we term anxious temperament
147 , participants with DM1 were randomized to a behavioral intervention (n = 14) or continued regular ca
148  hyperexcitability, learning is impaired and behavioral intervention provides no benefit to remyelina
149                                 Conclusion A behavioral intervention targeting physical activity incr
150 statistically significant difference between behavioral interventions and controls in smoking cessati
151                            In a few studies, behavioral interventions decreased unnecessary outpatien
152 d pharmacodynamic parameters, structural and behavioral interventions that target women are required
153 havioral change might increase the impact of behavioral interventions to prevent transmission of sexu
154                               In addition to behavioral interventions, early HCV treatment and retrea
155 ifferent nodes and are more precise than the behavioral latency of stopping.
156 he impact of neonatal anesthesia exposure on behavioral learning in adolescent subjects, and a variet
157 nd importantly, it is highly correlated with behavioral learning outcomes.
158                                       On the behavioral level, LZP, but not OXT, caused mild sedation
159 CA who recovered to functionally independent behavioral levels.
160 ersistence, generating a characteristic cell behavioral manifold that is preserved under a perturbati
161 cium imaging, optogenetic perturbations, and behavioral manipulations, we studied outcome signals in
162 ons result from the poor reliability of many behavioral measures and the distinct response processes
163 ed reward-value salience of a target improve behavioral measures of attentional selection.
164 es weak correlations between self-report and behavioral measures of the same construct.
165        Understanding the neurobiological and behavioral mechanisms accounting for this variation coul
166 nclude by outlining potential biological and behavioral mechanisms through which psychosocial stress
167 n noxious mechanosensation and highlight new behavioral methods to assess mechanical pain.
168                               We developed a behavioral model to assess this mode of learning.
169  to recommendations of medical treatments or behavioral modifications to reduce risks.
170  how humans perturb ecological processes via behavioral modifications.
171                   Using automated and manual behavioral monitoring of IAPV-inoculated individuals, we
172  Tracking Using Retroreflector Embedding), a behavioral monitoring system that combines motion captur
173  approach protected offspring from long-term behavioral morbidity.
174 isms-which are known to influence neural and behavioral motivational processes-might underlie some of
175                              We explored the behavioral observations that corroborate evidence-integr
176 ion-theory-based model accurately replicated behavioral outcomes and indicated that the deficits in t
177 line was a significant predictor of multiple behavioral outcomes following exposure to chronic stress
178  containing EGCG improved some cognitive and behavioral outcomes in DS mouse models and in humans wit
179            We have investigated cellular and behavioral outcomes in genetically engineered human APOE
180 ) increases risk for adverse psychiatric and behavioral outcomes in offspring.
181  target (i.e., prior to target selection) to behavioral outcomes, despite such preparatory changes be
182 or efficient sensory processing and improved behavioral outcomes.
183 lum predicted adverse motor, visuomotor, and behavioral outcomes.
184 tion and how these cellular signals instruct behavioral output is a main goal in neuroscience.
185 ture and chemical signals to produce a given behavioral output is poorly understood.
186   Here, we devised an ethologically inspired behavioral paradigm to directly test the hypothesis that
187 lop two human-inspired, discrimination-based behavioral paradigms for studying selective visuospatial
188 that relies on neurobiology to identify core behavioral pathology of late-life depression and targets
189 , PS, or combined Pb and PS in F1 offspring: behavioral performance [fixed-interval (FI) schedule of
190 s for understanding the relationship between behavioral performance and brain activation.
191 ages to contain only LSF or HSF and measured behavioral performance and corticospinal excitability (C
192  temporally precise SC inhibition influenced behavioral performance during a visually guided orientat
193 nge of perceptual, cognitive, emotional, and behavioral phenomena, this conceptual ambiguity and hete
194 tive Ahnak KO mice display a depression-like behavioral phenotype similar to that of constitutive p11
195 atal CB microstructure and childhood preterm behavioral phenotype symptoms (n = 56 parent report, n =
196 t prefrontal cortex (PFC), contributing to a behavioral phenotype that mimics multiple symptoms assoc
197        This witness mouse develops a similar behavioral phenotype to that of the mouse that physicall
198 nderlie the early development of the preterm behavioral phenotype.
199 s) exhibit robust, consistent differences in behavioral phenotypes between individuals within a sex.
200          We tested whether JQ1 could improve behavioral phenotypes in the R6/2 mouse model of HD and
201 ay mediate transgenerational transmission of behavioral phenotypes.
202 n, with progressive degenerative ciliary and behavioral phenotypes; and they support a contributory r
203 ation of how genotypic divergence has led to behavioral phenotypic divergence in a vertebrate.
204 ronal mechanisms underlying hunger-dependent behavioral plasticity are not fully characterized.
205 alient stimuli are among the main drivers of behavioral plasticity, yet, how animals evolve and modul
206 ct brain and they are rarely associated with behavioral plasticity.
207 fluence network properties and contribute to behavioral plasticity.
208                       In contrast, classical behavioral predictors of reading abilities and the abili
209                                          The behavioral preference of females was quantified in seven
210 versity and infant TL that predicts emerging behavioral problems in the next generations.
211 rt the neural computations that underlie the behavioral processes in the task.
212 nts with ALS was used to study cognitive and behavioral profiles, and 375 patients to study neuroimag
213 also describe the shortcomings of the purely behavioral protocol that purports to show recovery from
214                                              Behavioral-psychosocial, SSP, OAT, FSI, and CM intervent
215                    At screening, demographic/behavioral/psychosocial questionnaires were completed, a
216 creased tolerance to loud sounds and reduced behavioral reaction time latencies to high-intensity sou
217 red side closely tracked measurements of the behavioral recovery.
218 led to the reestablishment of blood flow and behavioral recovery.
219 ntervailing resilience systems implicated in behavioral regulation, and may inform novel strategies f
220 n transforming sugar sensing by the gut into behavioral reinforcement via midbrain dopamine neuron re
221                These findings underscore the behavioral relevance of temporally delayed coordination
222               Nocturnal mosquitoes exhibit a behavioral response to divert away from surfaces when vi
223 establish p75NTR as a novel regulator gating behavioral response to food scarcity and time-of-day dep
224  link the calls to a discriminative maternal behavioral response.
225 acteristics for species discrimination, with behavioral responses and computational results indicatin
226         The amygdala facilitates odor driven behavioral responses by enhancing the saliency of olfact
227 amina terminalis in regulating endocrine and behavioral responses that are involved in maintaining ca
228 tion of ATP-P2X4 signaling reduced reflexive behavioral responses to cold and heat stimuli.
229 tes activity within the nucleus accumbens or behavioral responses to drugs of abuse.
230                                 We show that behavioral responses to natural and synthesized vocaliza
231 tive network.SIGNIFICANCE STATEMENT Although behavioral responses to predatory threat are essential f
232 ensory cues are processed to elicit adaptive behavioral responses to threat and will help to identify
233 d gene clusters associated with the observed behavioral responses, mostly related to the stress axis.
234 tches stimulus history to odor sensation and behavioral responses.
235 ial attention, multisensory integration, and behavioral responses.
236 xetine actions on D1 receptor expression and behavioral responses.
237 s motivational states to guide affective and behavioral responses.
238 bitory balance in the PFC and its control of behavioral responses.SIGNIFICANCE STATEMENT A developmen
239                                              Behavioral results indicated that when voices were paire
240                                        These behavioral results, which are similar to findings in a s
241 n-phosphorylatable mutations exhibit altered behavioral rhythms.
242 be incorporated with traditional measures of behavioral risk (i.e., behavioral inhibition) to provide
243       We found no evidence of differences in behavioral risk factors, incidence of malaria, or FOI by
244 s cell carcinoma despite lower prevalence of behavioral risk factors.
245 urveillance systems capture individual-level behavioral risk, they are not able to capture the social
246 ple sets of peptidergic neurons play similar behavioral roles in this fast-timescale behavior through
247                                      Several behavioral science interventions have shown promise in r
248                  Finally, we noted that most behavioral sex differences had been reported in Sprague-
249 e not been linked to robust psychological or behavioral sex differences.
250 n also exhibited alleviated bodyweight loss, behavioral sickness, and myocardial dysfunction.
251 ioned fear in rodents and lacked cardiac and behavioral side effects, suggesting its potential for us
252 upside-down rotation) on body recognition, a behavioral signature of a specialized mechanism for body
253 and in another experiment, we reveal several behavioral signatures of this theoretical account, tying
254                                  To test the behavioral significance of this MSDB-MHb endocannabinoid
255 utilize reprogramming to investigate natural behavioral specification.
256   These findings highlight the modulation of behavioral state as a powerful independent means through
257 ial for animal survival when environment and behavioral state change over short or long time spans.
258    These approaches allow us to identify the behavioral state-dependent functional connectivity of py
259               Myoclonic seizures occurred at behavioral-state transitions both in Syngap1(+/-) mice a
260 ical regulator of motivated and pathological behavioral states via its output to midbrain nuclei.
261 lus (SC) and regions associated with certain behavioral states, such as fear (Monavarfeshani et al.,
262 atode C. elegans are coupled together across behavioral states.
263                In vivo imaging revealed that behavioral stimulation likewise elicited focal synaptic
264                     We identified 6 types of behavioral strategies to decrease opioid prescription at
265                                              Behavioral studies using cell-type-specific KD in mPFC d
266 atients or using local anesthesia, we used a behavioral study with a programmable mechatronic device
267                                         In a behavioral study, we found that memory accuracy is enhan
268  Disease Control and Prevention National HIV Behavioral Surveillance (NHBS) from 5 US cities, self-re
269 viewed in 20 US cities for 2015 National HIV Behavioral Surveillance.
270                             Strikingly, this behavioral switch is directly attributable to misregulat
271 lar description of behavior and suggest that behavioral syllables represent a new class of druggable
272 I) score during pregnancy with emotional and behavioral symptoms of offspring at 7 to 10 years of age
273 e assessed for the presence of cognitive and behavioral symptoms using a battery of neuropsychologic
274 d with a range of neurological, somatic, and behavioral symptoms.
275 on FC-signatures exhibit worse cognitive and behavioral symptoms.
276               Here, using a novel head-fixed behavioral system with five orthogonal force sensors, we
277                This memory enhancing effect (behavioral tagging) is caused by dopaminergic and noradr
278 e assessed waiting motor impulsivity using a behavioral task, as well as structural and functional un
279 ted by visual experience in the context of a behavioral task.
280             To address this gap, we examined behavioral tasks to assess learning and memory in homozy
281 ousands of neurons during the performance of behavioral tasks, raising the question of how recorded a
282 , revealing their likely interactions during behavioral tasks.
283                                     However, behavioral techniques and dietary modifications can be e
284 pha5-GABARs accelerates reversal learning, a behavioral test for cognitive flexibility dependent on r
285                                      We used behavioral testing and morphological methods to detail t
286                               Finally, using behavioral tests (humans, both sexes), we show that it i
287                                           In behavioral tests, the KI alpha2 mice did not show any di
288 prises education (cognitive) and counseling (behavioral) that require the involvement of a trained mu
289                                    Cognitive behavioral therapy (CBT) can reduce distress and improve
290 nts with OCD completed a course of cognitive-behavioral therapy (CBT).
291  examine the perceptual impact of AN loss on behavioral tone-in-noise (TIN) sensitivity in the budger
292 ts associated with psychiatric disorders and behavioral traits in human populations.
293 glutamate, is involved in centrally mediated behavioral, transcriptional, and neurochemical effects o
294 sparency acts as camouflage, we used in situ behavioral trials, visual modeling, and laboratory psych
295 nt individual differences in behavior [i.e., behavioral types (BTs)], are common across the animal ki
296       During rapid eye movement (REM) sleep, behavioral unresponsiveness contrasts strongly with inte
297 ion by choice, and random exploration, where behavioral variability drives exploration by chance.
298 nterneurons affect the magnitude of interfly behavioral variability.
299 rucially, this trade-off is easily masked by behavioral variation among individuals.
300 was related to the strength of participants' behavioral VDAC effect and persisted into subsequent tar

 
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