Functional Connectivity Analysis from Theta Band of Multi Local Field Potentials on Prefrontal Cortex of Rat during Working Memory Task

2017 ◽  
Author(s):  
Dexuan Qi ◽  
Zhenguo Xiao ◽  
Shuo Liu ◽  
Yongshu Jiao
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Functional Connectivity ◽  
Local Field ◽  
Memory Task ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Connectivity Analysis ◽  
Theta Band ◽  
Functional Connectivity Analysis

scholarly journals Activity Patterns in the Prefrontal Cortex and Hippocampus during and after Awakening from Etomidate Anesthesia

2010 ◽  
Vol 113 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Sergejus Butovas ◽  
Uwe Rudolph ◽  
Rachel Jurd ◽  
Cornelius Schwarz ◽  
Bernd Antkowiak
Keyword(s):  
Prefrontal Cortex ◽  
Local Field ◽  
Local Field Potentials ◽  
Type A ◽  
Aminobutyric Acid ◽  
Gamma Aminobutyric Acid ◽  
Field Potentials ◽  
Wild Type ◽  
Theta Band ◽  
Acid Type

Background The anesthetic properties of etomidate are largely mediated by gamma-aminobutyric acid type A receptors. There is evidence for the existence of gamma-aminobutyric acid type A receptor subtypes in the brain, which respond to small concentrations of etomidate. After awakening from anesthesia, these subtypes are expected to cause cognitive dysfunction for a yet unknown period of time. The corresponding patterns of brain electrical activity and the molecular identity of gamma-aminobutyric acid type A receptors contributing to these actions remain to be elucidated. Methods Anesthesia was induced in wild-type and beta3(N265M) knock-in mice by intravenous injection of 10 mg/kg etomidate. Local field potentials were recorded simultaneously in the prefrontal cortex and hippocampus using chronically implanted electrode arrays. Local field potentials were sampled before, during, and after anesthesia. Results In the prefrontal cortex and hippocampus of wild-type mice, intravenous bolus injection of etomidate evoked isoelectric baselines and subsequent burst suppression. These effects were largely attenuated by the beta3(N265M) mutation. During emergence from anesthesia, power density in the theta band (5-15 Hz) transiently increased in the hippocampus of wild types, but not in the mutants, indicating that this action was caused by the receptors harboring beta3 subunits. In both genotypes, etomidate produced a long-lasting (> 1 h after recovery of righting reflexes) decrease in theta-peak frequency. Significant slowing of theta activity was apparent in the hippocampus and prefrontal cortex. Conclusions Etomidate-induced patterns of brain activity during deep anesthesia mostly involve actions at beta3 containing gamma-aminobutyric acid type A receptors. During the postanesthesia period, altered theta-band activity indicates ongoing anesthetic action.

scholarly journals Organization of cortico-cortical pathways supporting memory retrieval across subregions of the left ventrolateral prefrontal cortex

2016 ◽  
Vol 116 (3) ◽  
pp. 920-937 ◽  
Author(s):  
Jennifer Barredo ◽  
Timothy D. Verstynen ◽  
David Badre
Keyword(s):  
Prefrontal Cortex ◽  
White Matter ◽  
Functional Connectivity ◽  
Memory Retrieval ◽  
Temporal Cortex ◽  
Functional Network ◽  
High Angular Resolution ◽  
Connectivity Analysis ◽  
Ventrolateral Prefrontal Cortex ◽  
Functional Connectivity Analysis

Functional magnetic resonance imaging (fMRI) evidence indicates that different subregions of ventrolateral prefrontal cortex (VLPFC) participate in distinct cortical networks. These networks have been shown to support separable cognitive functions: anterior VLPFC [inferior frontal gyrus (IFG) pars orbitalis] functionally correlates with a ventral fronto-temporal network associated with top-down influences on memory retrieval, while mid-VLPFC (IFG pars triangularis) functionally correlates with a dorsal fronto-parietal network associated with postretrieval control processes. However, it is not known to what extent subregional differences in network affiliation and function are driven by differences in the organization of underlying white matter pathways. We used high-angular-resolution diffusion spectrum imaging and functional connectivity analysis in unanesthetized humans to address whether the organization of white matter connectivity differs between subregions of VLPFC. Our results demonstrate a ventral-dorsal division within IFG. Ventral IFG as a whole connects broadly to lateral temporal cortex. Although several different individual white matter tracts form connections between ventral IFG and lateral temporal cortex, functional connectivity analysis of fMRI data indicates that these are part of the same ventral functional network. By contrast, across subdivisions, dorsal IFG was connected with the midfrontal gyrus and correlated as a separate dorsal functional network. These qualitative differences in white matter organization within larger macroanatomical subregions of VLPFC support prior functional distinctions among these regions observed in task-based and functional connectivity fMRI studies. These results are consistent with the proposal that anatomical connectivity is a crucial determinant of systems-level functional organization of frontal cortex and the brain in general.

scholarly journals Ketamine Alters Outcome-Related Local Field Potentials in Monkey Prefrontal Cortex

2015 ◽  
Vol 26 (6) ◽  
pp. 2743-2752 ◽  
Author(s):  
Kevin J. Skoblenick ◽  
Thilo Womelsdorf ◽  
Stefan Everling
Keyword(s):  
Prefrontal Cortex ◽  
Local Field ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Monkey Prefrontal Cortex

scholarly journals Incisional Nociceptive Input Impairs Attention-related Behavior and Is Associated with Reduced Neuronal Activity in the Prefrontal Cortex in Rats

2018 ◽  
Vol 129 (4) ◽  
pp. 778-790 ◽  
Author(s):  
Douglas G. Ririe ◽  
M. Danilo Boada ◽  
Megan K. MacGregor ◽  
Salem J. Martin ◽  
Tracy J. Strassburg ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Neuronal Activity ◽  
Local Field ◽  
Area Under Curve ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Duration Time ◽  
Attentional Performance ◽  
Nociceptive Input

Abstract Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New Background Cognitive capacity may be reduced from inflammation, surgery, anesthesia, and pain. In this study, we hypothesized that incision-induced nociceptive input impairs attentional performance and alters neuronal activity in the prefrontal cortex. Methods Attentional performance was measured in rats by using the titration variant of the 5-choice serial reaction time to determine the effect of surgical incision and anesthesia in a visual attention task. Neuronal activity (single spike and local field potentials) was measured in the medial prefrontal cortex in animals during the task. Results Incision significantly impaired attention postoperatively (area under curve of median cue duration-time 97.2 ± 56.8 [n = 9] vs. anesthesia control 25.5 ± 14.5 s-days [n = 9], P = 0.002; effect size, η2 = 0.456). Morphine (1 mg/kg) reduced impairment after incision (area under curve of median cue duration-time 31.6 ± 36.7 [n = 11] vs. saline 110 ± 64.7 s-days [n = 10], P < 0.001; η2 = 0.378). Incision also decreased cell activity (n = 24; 1.48 ± 0.58 vs. control, 2.93 ± 2.02 bursts/min; P = 0.002; η2 = 0.098) and local field potentials (n = 28; η2 = 0.111) in the medial prefrontal cortex. Conclusions These results show that acute postoperative nociceptive input from incision reduces attention-related task performance and decreases neuronal activity in the medial prefrontal cortex. Decreased neuronal activity suggests nociceptive input is more than just a distraction because neuronal activity increases during audiovisual distraction with similar behavioral impairment. This suggests that nociceptive input and the medial prefrontal cortex may contribute to attentional impairment and mild cognitive dysfunction postoperatively. In this regard, pain may affect postoperative recovery and return to normal activities through attentional impairment by contributing to lapses in concentration for routine and complex tasks.

scholarly journals Prediction error signaling explains neuronal mismatch responses in the medial prefrontal cortex

2019 ◽  
Author(s):  
Lorena Casado-Román ◽  
Guillermo V. Carbajal ◽  
David Pérez-González ◽  
Manuel S. Malmierca
Keyword(s):  
Prefrontal Cortex ◽  
Auditory System ◽  
Local Field ◽  
Prediction Error ◽  
Time Course ◽  
Local Field Potentials ◽  
Predictive Processing ◽  
Field Potentials ◽  
Deviance Detection ◽  
Spiking Activity

AbstractThe mismatch negativity (MMN) is a key biomarker of automatic deviance detection thought to emerge from two cortical sources. First, the auditory cortex (AC) encodes spectral regularities and reports frequency-specific deviances. Then, more abstract representations in the prefrontal cortex (PFC) allow to detect contextual changes of potential behavioral relevance. However, the precise location and time asynchronies between neuronal correlates underlying this fronto-temporal network remain unclear and elusive. Our study presented auditory oddball paradigms along with ‘no-repetition’ controls to record mismatch responses in neuronal spiking activity and local field potentials at the rat medial PFC. Whereas mismatch responses in the auditory system are mainly induced by stimulus-dependent effects, we found that auditory responsiveness in the PFC was driven by unpredictability, yielding context-dependent, comparatively delayed, more robust and longer-lasting mismatch responses mostly comprised of prediction error signaling activity. This characteristically different composition discarded that mismatch responses in the PFC could be simply inherited or amplified downstream from the auditory system. Conversely, it is more plausible for the PFC to exert top-down influences on the AC, since the PFC exhibited flexible and potent predictive processing, capable of suppressing redundant input more efficiently than the AC. Remarkably, the time course of the mismatch responses we observed in the spiking activity and local field potentials of the AC and the PFC combined coincided with the time course of the large-scale MMN-like signals reported in the rat brain, thereby linking the microscopic, mesoscopic and macroscopic levels of automatic deviance detection.

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