Relevant bibliographies by topics / Prefrontal Cortex

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Prefrontal Cortex'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 March 2025

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Journal articles on the topic "Prefrontal Cortex"

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SELEMON, LYNN D., PATRICIA S. GOLDMAN-RAKIC, and CAROL A. TAMMINGA. "Corex, III; Prefrontal Cortex." American Journal of Psychiatry 152, no. 1 (January 1995): 5. http://dx.doi.org/10.1176/ajp.152.1.5.

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Mghamis, Munqith Mazin. "Effect of Prenatal Ketamine Exposure on GFAP Marker Expression in Mice Prefrontal Cortex Mice Prefrontal Cortex." International Journal of Psychosocial Rehabilitation 24, no. 4 (February 28, 2020): 3936–44. http://dx.doi.org/10.37200/ijpr/v24i4/pr201507.

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Buchanan, Robert W., and Godfrey Pearlson. "Prefrontal Cortex, Structural Analysis: Segmenting the Prefrontal Cortex." American Journal of Psychiatry 161, no. 11 (November 2004): 1978. http://dx.doi.org/10.1176/appi.ajp.161.11.1978.

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Neary, D. "THE PREFRONTAL CORTEX." Brain 122, no. 2 (February 1999): 370a—370. http://dx.doi.org/10.1093/brain/122.2.370a.

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Maroun, Mouna. "Medial Prefrontal Cortex." Neuroscientist 19, no. 4 (October 22, 2012): 370–83. http://dx.doi.org/10.1177/1073858412464527.

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&NA;. "The Prefrontal Cortex." Journal of Nervous and Mental Disease 178, no. 2 (February 1990): 141. http://dx.doi.org/10.1097/00005053-199002000-00012.

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Miller, Earl K. "The Prefrontal Cortex." Neuron 22, no. 1 (January 1999): 15–17. http://dx.doi.org/10.1016/s0896-6273(00)80673-x.

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Kawasaki, Akihiro, Yutaka Matsuzaki, and Taku Kawada. "Neuroregulatory Effects of Microcone Patch Stimulation on the Auricular Branch of the Vagus Nerve and the Prefrontal Cortex: A Feasibility Study." Journal of Clinical Medicine 13, no. 8 (April 20, 2024): 2399. http://dx.doi.org/10.3390/jcm13082399.

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Background: The primary purpose of this study was to preliminarily examine the effects of autonomic nervous system activity on the dorsolateral prefrontal cortex. Recent studies have examined approaches to modulating autonomic activity using invasive and non-invasive methods, but the effects of changes in autonomic activity during cognitive tasks on the dorsolateral prefrontal cortex have not been fully investigated. The purpose of this preliminary investigation was to examine changes in autonomic activity and blood oxygen saturation in the dorsolateral prefrontal cortex during reading tasks induced by vagus nerve stimulation using a microcone patch. Methods: A cohort of 40 typically developing adults was enrolled in this study. We carefully examined changes in autonomic nervous system activity and blood oxygen saturation in the dorsolateral prefrontal cortex during a reading task in two conditions: with and without microcone patch stimulation. Results: Significant changes in brain activation in the dorsolateral prefrontal cortext due to microcone patch stimulation were confirmed. In addition, hierarchical multiple regression analysis revealed specific changes in reading task-related blood oxygen saturation in the dorsolateral prefrontal region during microcone patch stimulation. Conclusions: It should be recognized that this study is a preliminary investigation and does not have immediate clinical applications. However, our results suggest that changes in autonomic nervous system activity induced by external vagal stimulation may affect activity in specific reading-related regions of the dorsolateral prefrontal cortex. Further research and evaluation are needed to fully understand the implications and potential applications of these findings.
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Benson, D. F. "Prefrontal Abilities." Behavioural Neurology 6, no. 2 (1993): 75–81. http://dx.doi.org/10.1155/1993/940318.

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The neuroanatomical region that has most prominently altered with the advancing cognitive competency of the human is the prefrontal cortex, particularly the rostral extreme. While the prefrontal cortex does not appear to contain the neural networks that carry out cognitive activities, the management of these high level manipulations, so uniquely characteristic of the human, appears dependent upon the prefrontal cortex.
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Yarur, Hector E., Ignacio Vega-Quiroga, Marcela P. González, Verónica Noches, Daniel R. Thomases, María E. Andrés, Francisco Ciruela, Kuei Y. Tseng, and Katia Gysling. "Inhibitory Control of Basolateral Amygdalar Transmission to the Prefrontal Cortex by Local Corticotrophin Type 2 Receptor." International Journal of Neuropsychopharmacology 23, no. 2 (December 4, 2019): 108–16. http://dx.doi.org/10.1093/ijnp/pyz065.

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Abstract Background Basolateral amygdalar projections to the prefrontal cortex play a key role in modulating behavioral responses to stress stimuli. Among the different neuromodulators known to impact basolateral amygdalar-prefrontal cortex transmission, the corticotrophin releasing factor (CRF) is of particular interest because of its role in modulating anxiety and stress-associated behaviors. While CRF type 1 receptor (CRFR1) has been involved in prefrontal cortex functioning, the participation of CRF type 2 receptor (CRFR2) in basolateral amygdalar-prefrontal cortex synaptic transmission remains unclear. Methods Immunofluorescence anatomical studies using rat prefrontal cortex synaptosomes devoid of postsynaptic elements were performed in rats with intra basolateral amygdalar injection of biotinylated dextran amine. In vivo microdialysis and local field potential recordings were used to measure glutamate extracellular levels and changes in long-term potentiation in prefrontal cortex induced by basolateral amygdalar stimulation in the absence or presence of CRF receptor antagonists. Results We found evidence for the presynaptic expression of CRFR2 protein and mRNA in prefrontal cortex synaptic terminals originated from basolateral amygdalar. By means of microdialysis and electrophysiological recordings in combination with an intra-prefrontal cortex infusion of the CRFR2 antagonist antisauvagine-30, we were able to determine that CRFR2 is functionally positioned to limit the strength of basolateral amygdalar transmission to the prefrontal cortex through presynaptic inhibition of glutamate release. Conclusions Our study shows for the first time to our knowledge that CRFR2 is expressed in basolateral amygdalar afferents projecting to the prefrontal cortex and exerts an inhibitory control of prefrontal cortex responses to basolateral amygdalar inputs. Thus, changes in CRFR2 signaling are likely to disrupt the functional connectivity of the basolateral amygdalar-prefrontal cortex pathway and associated behavioral responses.
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Dissertations / Theses on the topic "Prefrontal Cortex"

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Vander, Weele Caitlin Miya. "Dopaminergic modulation of prefrontal cortex subpopulations." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120628.

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Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2018.
Cataloged from PDF version of thesis. Page 176 blank.
Includes bibliographical references (pages 159-175).
Despite abundant evidence that dopamine modulates medial prefrontal cortex (mPFC) activity to mediate diverse behavioral functions, the precise circuit computations remain elusive. One potentially unifying theoretical model by which dopamine can modulate functions from working memory to schizophrenia is that dopamine serves to increase the signal-to-noise ratio in mPFC neurons, where neuronal activity conveying sensory information (signal) are amplified relative to spontaneous firing (noise). To connect theory to biology, we lack direct evidence for dopaminergic modulation of signal-to-noise in neuronal firing patterns in vivo and a mechanistic explanation of how such computations would be transmitted downstream to instruct specific behavioral functions. Here, we demonstrate that dopamine increases signal-to-noise ratio in mPFC neurons projecting to the dorsal periaqueductal gray (dPAG) during the processing of an aversive stimulus. First, using electrochemical approaches, we reveal the precise time course of tail pinch-evoked dopamine release in the mPFC. Second, we show that dopamine signaling in the mPFC biases behavioral responses to punishment-predictive stimuli, rather than reward-predictive cues. Third, in contrast to the well-characterized mPFC-NAc projection, we show that activation of mPFC-dPAG neurons is sufficient to drive place avoidance and defensive behaviors. Fourth, to determine the natural dynamics of individual mPFC neurons, we performed single-cell projection-defined microendoscopic calcium imaging to reveal a robust preferential excitation of mPFC-dPAG, but not mPFC-NAc, neurons to aversive stimuli. Finally, photostimulation of VTA dopamine terminals in the mPFC revealed an increase in signal-to-noise ratio in mPFC-dPAG neuronal activity during the processing of aversive, but not rewarding stimuli. Together, these data unveil the utility of dopamine in the mPFC to effectively filter sensory information in a valence-specific manner.
by Caitlin Miya Vander Weele.
Ph. D. in Neuroscience
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Benoit, R. G. "Functional specialisation within rostral prefrontal cortex." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/623668/.

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The functional organisation of rostral prefrontal cortex (rPFC; approximating Area 10) is largely unknown. On one hand, this region might support processes that are commonly involved in coping with multiple demands. On the other hand, rPFC might be fractionated into functionally specialised subregions. This thesis examines which of these accounts is more plausible. Therefore, four functional MRI studies were conducted, each of which compared two functions. These were hypothesised to share common processing denominators that might be supported by medial rPFC (mrPFC). It was assessed whether the functions are associated with haemodynamic signal changes in overlapping versus segregated subregions. Study I investigated the involvement of rPFC in prospective memory and in stimulus-oriented (i.e. triggered by the environment) versus stimulus-independent (i.e. decoupled from the environment) processing. Study II asked participants to envision future episodes of spending money (e.g., £35 at a Pub). It was hypothesised that subregions supporting such episodic prospection might also exhibit haemodynamic signal changes as a function of the imagined reward value (e.g., £35). In study III, participants first made personality trait judgements about themselves and others (i.e., their best friends), and then tried to remember the target of each judgement. It was investigated whether mrPFC subregions involved in thinking about oneself during those tasks might also support thinking about others to the degree that the other person is perceived as similar. Study IV examined the relationship between mrPFC engagement during self-appraisal and individual differences in the valuation of future rewards. Overall, the data are most consistent with a synthesis of the two accounts: mrPFC seems to be functionally fractionated. However, the specialised subregions appear to be engaged irrespective of the exact task context (e.g., the nature of the stimuli). Thus, these regions may be characterised as supporting central functions that are involved in coping with multiple demands.
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Pereira, Jacinto José Fonseca. "Computational modeling of prefrontal cortex circuits." Doctoral thesis, Universidade Nova de Lisboa. Instituto de Tecnologia Química e Biológica, 2014. http://hdl.handle.net/10362/12080.

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Dissertation presented to obtain the Ph.D degree in Biology
The most outstanding feature of the human brain is its ability to perform highly complex cognitive tasks and one key region of the brain involved in these elaborated tasks is the prefrontal cortex. However, little is known about the basic neuronal processes that sustain these capacities. This dissertation describes the computational study of the biophysical properties of neurons in the prefrontal cortex that underlie complex cognitive processes with special emphasis in working memory, the ability to keep information online in the brain for a short period of time while processing incoming external stimuli.(...)
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Cholfin, Jeremy A. "Genetic regulation of prefrontal cortex development." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3251942.

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Fernandes, Ninette M. "The Detection of Prefrontal Cortex Development into Early Adulthood." Marietta College / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=marietta1164924291.

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Bedwell, S. A. "The connectivity of the mammalian prefrontal cortex." Thesis, Nottingham Trent University, 2015. http://irep.ntu.ac.uk/id/eprint/28042/.

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The fine scale connections of prefrontal cortex (PFC) were investigated in the rat brain, in order to determine organizational properties of PFC pathways which were previously undefined. Neuroanatomical tract tracers (Fluro-Gold, Fluoro-Ruby, Fluoro-Emerald, Biotinylated dextran amines; Fluorescein and Texas red) were injected (20 -100 nl) into subdivisions of PFC (prelimbic, infralimbic, medial-orbital, ventral-orbital, ventrolateral-orbital, lateral-orbital and dorsolateral-orbital) and their projections studied. Tracer studies identified clear evidence of significantly ordered projections from PFC to temporal and sensory-motor cortices in three axes of orientation (p<0.001), showing differential ordering of input and output connections (p<0.001). Ordered connections were consistent across PFC (from anterior to posterior) and showed evidence of changes in organisation in anterior compared to posterior PFC, in both the PFC-temporal and PFC-sensory-motor cortex pathways. Detailed analysis revealed evidence for an organizational gradient in the relationship between inputs and outputs from anterior to posterior PFC, in which retrograde and anterograde labelling become increasingly differentiated as PFC injection site is moved from posterior to anterior. Analysis of fine scale tracer injections (20-30 nl) revealed evidence to show underlying complex organizational properties of connections from PFC to temporal and sensory-motor cortices. Taken together, the findings show that PFC displays ordered arrangements of connections to temporal and sensory-motor cortex, input and output connections are consistently not found in the same locations and the relationship between inputs and outputs differs in relation to the anterior-posterior location in PFC.
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Sandblom, Johan. "Episodic memory in the human prefrontal cortex /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-136-4/.

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Duffaud, Anais M. "Executive function and prefrontal cortex in rats." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54745/.

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The term executive function describes a set of high-level abilities that influence more basic motor, sensory and mnemonic processes. These functions include working memory, behavioural flexibility, inhibitory control, attentional processes and decision making. A large number of evidence, from human studies, non-human primates, rats and mice studies, has demonstrated a role for the prefrontal cortex in these higher cognitive processes. The central aim of this thesis was to investigate two important aspects of the cognitive executive control: working memory and behavioural flexibility. The experiments described in the first two empirical chapters present the design of new operant paradigms to study these processes. Two further empirical chapters consider the neurobiological basis of behavioural flexibility, with a particular emphasize on the infralimbic (IL) and prelimbic (PL) regions of the rat medial prefrontal cortex (mPFC). Although, the IL and PL regions have generally been considered as a single functional unit, empirical findings presented in this thesis provide evidence suggesting that the IL and PL mPFC can be viewed as independent but interactive regions with complementary roles in the control of behaviour. That is, the PL brings simple cue-outcome associations and more complex behavioural patterns under the modulatory influence of contextual, or other task-relevant, information and in contrast, the IL exerts an inhibitory influence over the PL biasing the animal towards simple, prepotent, learned or innate behavioural patterns.
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Cox, Simon Riddington. "Cortisol, cognition and the ageing prefrontal cortex." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/9585.

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The structural and functional decline of the ageing human brain varies by brain region, cognitive function and individual. The underlying biological mechanisms are poorly understood. One potentially important mechanism is exposure to glucocorticoids (GCs; cortisol in humans); GC production is increasingly varied with age in humans, and chronic exposure to high levels is hypothesised to result in cognitive decline via cerebral remodelling. However, studies of GC exposure in humans are scarce and methodological differences confound cross-study comparison. Furthermore, there has been little focus on the effects of GCs on the frontal lobes and key white matter tracts in the ageing brain. This thesis therefore examines relationships among cortisol levels, structural brain measures and cognitive performance in 90 healthy, elderly community-dwelling males from the Lothian Birth Cohort 1936. Salivary cortisol samples characterised diurnal (morning and evening) and reactive profiles (before and after a cognitive test battery). Structural variables comprised Diffusion Tensor Imaging measures of major brain tracts and a novel manual parcellation method for the frontal lobes. The latter was based on a systematic review of current manual methods in the context of putative function and cytoarchitecture. Manual frontal lobe brain parcellation conferred greater spatial and volumetric accuracy when compared to both single- and multi-atlas parcellation at the lobar level. Cognitive ability was assessed via tests of general cognitive ability, and neuropsychological tests thought to show differential sensitivity to the integrity of frontal lobe sub-regions. The majority of, but not all frontal lobe test scores shared considerable overlap with general cognitive ability, and cognitive scores correlated most consistently with the volumes of the anterior cingulate. This is discussed in light of the diverse connective profile of the cingulate and a need to integrate information over more diffuse cognitive networks according to proposed de-differentiation or compensation in ageing. Individuals with higher morning, evening or pre-test cortisol levels showed consistently negative relationships with specific regional volumes and tract integrity. Participants whose cortisol levels increased between the start and end of cognitive testing showed selectively larger regional volumes and lower tract diffusivity (correlation magnitudes <.44). The significant relationships between cortisol levels and cognition indicated that flatter diurnal slopes or higher pre-test levels related to poorer test performance. In contrast, higher levels in the morning generally correlated with better scores (correlation magnitudes <.25). Interpretation of all findings was moderated by sensitivity to type I error, given the large number of comparisons conducted. Though there were limited candidates for mediation analysis, cortisol-function relationships were partially mediated by tract integrity (but not sub-regional frontal volumes) for memory and post-error slowing. This thesis offers a novel perspective on the complex interplay among glucocorticoids, cognition and the structure of the ageing brain. The findings suggest some role for cortisol exposure in determining age-related decline in complex cognition, mediated via brain structure.
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Dumontheil, Iroise. "Cortex prefrontal rostral et contrôle de l'attention." Paris 6, 2006. http://www.theses.fr/2006PA066505.

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Le cortex préfrontal rostral est une aire cérébrale plus étendue chez les humains que les autres primates et qui se développe tardivement jusqu’à l’adolescence. Trois expériences ont testés la Gateway hypothesis, qui propose que l’aire 10 soutient des processus de coordination de l’attention entre les informations dérivées de l’environnement (orientées vers le stimulus, SO), et les informations générées intérieurement (indépendantes du stimulus, SI). Une dissociation de fonction entre la partie médiale, associée à une amélioration de la performance dans des tâches d’attention SO et les parties latérales, associées à une allocation de l’attention vers les représentations SI, a été montrée par deux expériences d’imagerie par résonance magnétique fonctionnelle. De plus, il a été démontré que les processus de l’aire 10 latérale pouvaient être recrutés dans des tâches de faible demande cognitive. Ces résultats permettent de mieux spécifier les fonctions possibles de l’aire 10.
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Books on the topic "Prefrontal Cortex"

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Funahashi, Shintaro. Dorsolateral Prefrontal Cortex. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7268-3.

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service), ScienceDirect (Online, ed. The prefrontal cortex. 4th ed. Amsterdam: Academic Press/Elsevier, 2008.

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Lorenzo, LoGrasso, and Morretti Giovanni, eds. Prefrontal cortex: Roles, interventions & traumas. Hauppauge: Nova Science Publishers, 2009.

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1943-, Thierry A. M., ed. Motor and cognitive functions of the prefrontal cortex. Berlin: Springer-Verlag, 1994.

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Otani, Satoru, ed. Prefrontal Cortex: From Synaptic Plasticity to Cognition. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/b111822.

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C, Roberts A., Robbins Trevor W, Weiskrantz Lawrence, and Royal Society (Great Britain). Discussion Meeting., eds. The prefrontal cortex: Executive and cognitive functions. Oxford: Oxford University Press, 1998.

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Thierry, A. M., J. Glowinski, P. S. Goldman-Rakic, and Y. Christen, eds. Motor and Cognitive Functions of the Prefrontal Cortex. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85007-3.

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Jordan, Grafman, Holyoak Keith James 1950-, and Boller François, eds. Structure and functions of the human prefrontal cortex. New York, N.Y: New York Academy of Sciences, 1995.

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Weinberger, Daniel R. Physiologic dysfunction of dorsolateral prefrontal cortex in schizophrenia. [Washington, D.C.?: National Institute of Mental Health, 1986.

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Schoenbaum, Geoffrey. Critical contributions of the orbitofrontal cortex to behavior. Edited by New York Academy of Sciences. Boston, Mass: Published by Blackwell Pub. on behalf of the New York Academy of Sciences, 2011.

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Book chapters on the topic "Prefrontal Cortex"

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Malloy, Paul. "Prefrontal Cortex." In Encyclopedia of Clinical Neuropsychology, 2771–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1904.

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Levesque, Roger J. R. "Prefrontal Cortex." In Encyclopedia of Adolescence, 2134. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_585.

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McAllister-Williams, R. Hamish, Daniel Bertrand, Hans Rollema, Raymond S. Hurst, Linda P. Spear, Tim C. Kirkham, Thomas Steckler, et al. "Prefrontal Cortex." In Encyclopedia of Psychopharmacology, 1055. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_742.

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Malloy, Paul. "Prefrontal Cortex." In Encyclopedia of Clinical Neuropsychology, 1998–2001. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1904.

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Malloy, Paul. "Prefrontal Cortex." In Encyclopedia of Clinical Neuropsychology, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1904-2.

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Fuster, Joaquin M. "Prefrontal Cortex." In Comparative Neuroscience and Neurobiology, 107–9. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6776-3_43.

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Schoenfield, Gretchen. "Prefrontal Cortex." In Encyclopedia of Child Behavior and Development, 1142–44. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2215.

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Bookheimer, Susan Y. "Prefrontal Cortex." In Encyclopedia of Autism Spectrum Disorders, 2340. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_578.

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Bookheimer, Susan Y. "Prefrontal Cortex." In Encyclopedia of Autism Spectrum Disorders, 3641. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_578.

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Levesque, Roger J. R. "Prefrontal Cortex." In Encyclopedia of Adolescence, 2832. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_585.

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Conference papers on the topic "Prefrontal Cortex"

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Mathieu, William, Milica Popović, and Reza Farivar. "Size-Adaptive 24-Channel Prefrontal Cortex RF Coil Array for 3T MRI." In 2024 21st European Radar Conference (EuRAD), 1–3. IEEE, 2024. http://dx.doi.org/10.23919/eurad61604.2024.10734920.

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Sheline, Yvette I., Kevin J. Black, Daniel Y. Lin, Joseph Pimmel, Po Wang, John W. Haller, John G. Csernansky, et al. "MRI volumetry of prefrontal cortex." In Medical Imaging 1995, edited by Murray H. Loew. SPIE, 1995. http://dx.doi.org/10.1117/12.208749.

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de Bruin, H., G. Hasey, and J. Hemily. "Dorsolateral prefrontal cortex sensitivity to rTMS." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090562.

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Al-Hakim, Ramsey, James Fallon, Delphine Nain, John Melonakos, and Allen Tannenbaum. "A dorsolateral prefrontal cortex semi-automatic segmenter." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2006. http://dx.doi.org/10.1117/12.653643.

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Rifai Chai, Sai Ho Ling, G. P. Hunter, and H. T. Nguyen. "Mental task classifications using prefrontal cortex electroencephalograph signals." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346307.

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Mack, Michael L., Alison R. Preston, and Bradley C. Love. "Medial prefrontal cortex compresses concept representations through learning." In 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2017. http://dx.doi.org/10.1109/prni.2017.7981500.

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Yasuda, Tetsuya, and Harumi Kobayashi. "Strategy changes and activation of the prefrontal cortex." In 2008 International Conference on Control, Automation and Systems (ICCAS). IEEE, 2008. http://dx.doi.org/10.1109/iccas.2008.4694239.

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Zhao, Zhongyao, Xin C. Wang, and Britton Chance. "Remote sensing of prefrontal cortex function with diffusive light." In European Symposium on Optics and Photonics for Defence and Security, edited by Tim P. Donaldson and Colin Lewis. SPIE, 2004. http://dx.doi.org/10.1117/12.578358.

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Zheng, Huanyan. "The Hierarchical Organization of Prefrontal Cortex of Working Memory." In 2022 International Conference on Creative Industry and Knowledge Economy (CIKE 2022). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220404.098.

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Ohka, M., Y. Mitsui, and H. Komura. "Brain Activation Measurement of Velvet Hand Illusion Using Pocket NIRS." In ASME-JSME 2018 Joint International Conference on Information Storage and Processing Systems and Micromechatronics for Information and Precision Equipment. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/isps-mipe2018-8540.

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In this research, as a different approach to the conventional one which enhances the performance with hardware of a haptic device, we adopt another approach to make the brain feel as if the person is touching the real thing via an illusion. Thus, we study Velvet Hand Illusion (VHI) which is an illusionary phenomenon concerning tactile touch. In VHI, a hexagonal wire mesh is sandwiched between both hands and rubbing the wire mesh without relative motion between both hands generates a smooth feeling, like velvet. The brain activation at this time is measured by PocketNIRS, which contains two channels measuring the bilateral prefrontal cortex. We obtained the result that the prefrontal cortex was activated to roughly two times larger when VHI occurred than when touching real velvet fabric. Since different responses can be obtained in the prefrontal cortex during brain activation between real velvet and VHI, it is possible to use pocketNIRS for the evaluation of VHI.
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Reports on the topic "Prefrontal Cortex"

1

Hoshi, Yoko, Brian Tsou, Vince Billock, Masahito Tanosaki, and Yoshinobu Iguchi. Spatiotemporal Characteristics of Hemodynamic Changes in the Human Lateral Prefrontal Cortex During Working Memory Tasks. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada428043.

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2

Liberzon, Israel, Dayan Knox, and Sophie George. Medial Prefrontal Cortex and HPA Axis Roles in Generation of PTSD-Like Symptoms in SPS Model. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada550575.

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Liberzon, Israel, Dayan Knox, and Sophie George. Medial Prefrontal Cortex and HPA Axis Roles in Generation of PTSD-Like Symptoms in SPS Model. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada555896.

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4

Morphett, Jane, Alexandra Whittaker, Amy Reichelt, and Mark Hutchinson. Perineuronal net structure as a non-cellular mechanism of affective state, a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0075.

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Is the perineuronal net structure within emotional processing brain regions associated with changes in affective state? The objective of this scoping review is to bring together the literature on human and animal studies which have measured perineuronal net structure in brain regions associated with emotional processing (such as but not limited to amygdala, hippocampus and prefrontal cortex). Perineuronal nets are a specialised form of condensed extracellular matrix that enwrap and protect neurons (Suttkus et al., 2016), regulate synaptic plasticity (Celio and Blumcke, 1994) and ion homeostasis (Morawski et al., 2015). Perineuronal nets are dynamic structures that are influenced by external and internal environmental shifts – for example, increasing in intensity and number in response to stressors (Blanco and Conant, 2021) and pharmacological agents (Riga et al., 2017). This review’s objective is to generate a compilation of existing knowledge regarding the structural changes of perineuronal nets in experimental studies that manipulate affective state, including those that alter environmental stressors. The outcomes will inform future research directions by elucidating non-cellular central nervous system mechanisms that underpin positive and negative emotional states. These methods may also be targets for manipulation to manage conditions of depression or promote wellbeing. Population: human and animal Condition: affective state as determined through validated behavioural assessment methods or established biomarkers. This includes both positive and negative affective states. Context: PNN structure, measuringPNNs.
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