Olfactory Hallucination

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Orsola Gambini - One of the best experts on this subject based on the ideXlab platform.

  • An Olfactory reference syndrome successfully treated by aripiprazole augmentation of antidepressant therapy.
    Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology, 2008
    Co-Authors: Riccardo Muffatti, Silvio Scarone, Orsola Gambini
    Abstract:

    ObjectiveTo describe a case of a 65-year-old woman with persistent Olfactory Hallucination and delusional self-reference, successfully treated by aripiprazole augmentation of antidepressant therapy.BackgroundOlfactory reference syndrome is a nosologic entity, which has been assimilated to various Di

  • An Olfactory reference syndrome successfully treated by aripiprazole augmentation of antidepressant therapy
    'Ovid Technologies (Wolters Kluwer Health)', 2008
    Co-Authors: Riccardo Muffatti, Silvio Scarone, Orsola Gambini
    Abstract:

    Abstract: Objective: To describe a case of a 65-year-old woman with persistent Olfactory Hallucination and delusional self-reference, successfully treated by aripiprazole augmentation of antidepressant therapy. Background: Olfactory reference syndrome is a nosologic entity, which has been assimilated to various Diagnostic and Statistical Manual of Mental Disorder-IV-text revision codified diseases and several pharmacologic treatments have been proposed without a constant clinical response. Method: Psychiatric, neurologic, neuropsychologic, imaging, and electroencephalogram data are reported. Results: The patient showed a significant improvement with aripiprazole. Conclusions: We propose a pathophysiologic model of Olfactory reference syndrome to explain the good response of our patient to aripiprazole. We hypothesize a disruption in the top-down regulation of the orbitofrontal cortex on the primary Olfactory cortex and the Olfactory bulb at the basis of the illness. Aripiprazole acting as a partial agonist of dopamine D2 receptors in the Olfactory bulb compensates for the lack of modulation in this site, restoring the correct processing of Olfactory information

K. Toofani - One of the best experts on this subject based on the ideXlab platform.

William W. Lytton - One of the best experts on this subject based on the ideXlab platform.

  • Computer modelling of epilepsy
    Nature Reviews Neuroscience, 2008
    Co-Authors: William W. Lytton
    Abstract:

    Computer modelling of epilepsy is a branch of systems biology, a science that aims to combine the discoveries made by reductionist approaches into systems in order to understand how primary pathologies and secondary reactions interact to produce disease. Epilepsy, a dynamical disease of the brain, is well suited to study from the perspective of dynamical systems. Epilepsy is a complex set of syndromes with the commonality of recurrent seizures. Not only do the many individual epilepsy syndromes have different causes, but most epilepsies develop owing to the interaction of many causes at molecular, cellular, network and developmental levels, defying efforts to define simple cause-and-effect relations and suggesting the need for computer modelling. Knowledge discovery and data mining provides the substrate and support for dynamical modelling and allows the findings to be applied back to the research and clinical settings. The various dynamical modelling techniques that are used include stochastic models, low-dimensional (lumped) deterministic models and detailed neuronal network models. Computer models are applied across the range of epilepsy phenomenology, from the molecular to the clinical. At the patient level, Markov models have been used to assess patterns of remission and relapse in pediatric epilepsy. At the molecular level, deterministic models can predict alterations in cellular activity with ion-channel mutations. Many seizure models simulate activity at the network level. Some of these are lumped models, which use mean-field approximations to reduce the activity of many neurons to simple oscillators that are then coupled to produce complex activity patterns. Other models incorporate the details of neural activity and synaptic interactions, in order to reach down to the molecular level at which drug effects take place. Uncommonly among areas of neuroscience research, computer modelling is immediately accessible through downloads of established models. An intrinsically collaborative activity, the future of the endeavour lies in the cooperative efforts of clinicians, experimentalists and modellers. As a dynamical disorder, epilepsy is an attractive target for computer modelling. Here, Lytton provides an overview of the different types of computer model that have been used to describe epilepsy and shows how they can provide new insights into the disorder. Epilepsy is a complex set of disorders that can involve many areas of the cortex, as well as underlying deep-brain systems. The myriad manifestations of seizures, which can be as varied as déjà vu and Olfactory Hallucination, can therefore give researchers insights into regional functions and relations. Epilepsy is also complex genetically and pathophysiologically: it involves microscopic (on the scale of ion channels and synaptic proteins), macroscopic (on the scale of brain trauma and rewiring) and intermediate changes in a complex interplay of causality. It has long been recognized that computer modelling will be required to disentangle causality, to better understand seizure spread and to understand and eventually predict treatment efficacy. Over the past few years, substantial progress has been made in modelling epilepsy at levels ranging from the molecular to the socioeconomic. We review these efforts and connect them to the medical goals of understanding and treating the disorder.

  • Computer modelling of epilepsy.
    Nature reviews. Neuroscience, 2008
    Co-Authors: William W. Lytton
    Abstract:

    Epilepsy is a complex set of disorders that can involve many areas of the cortex, as well as underlying deep-brain systems. The myriad manifestations of seizures, which can be as varied as deja vu and Olfactory Hallucination, can therefore give researchers insights into regional functions and relations. Epilepsy is also complex genetically and pathophysiologically: it involves microscopic (on the scale of ion channels and synaptic proteins), macroscopic (on the scale of brain trauma and rewiring) and intermediate changes in a complex interplay of causality. It has long been recognized that computer modelling will be required to disentangle causality, to better understand seizure spread and to understand and eventually predict treatment efficacy. Over the past few years, substantial progress has been made in modelling epilepsy at levels ranging from the molecular to the socioeconomic. We review these efforts and connect them to the medical goals of understanding and treating the disorder.

Riccardo Muffatti - One of the best experts on this subject based on the ideXlab platform.

  • An Olfactory reference syndrome successfully treated by aripiprazole augmentation of antidepressant therapy.
    Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology, 2008
    Co-Authors: Riccardo Muffatti, Silvio Scarone, Orsola Gambini
    Abstract:

    ObjectiveTo describe a case of a 65-year-old woman with persistent Olfactory Hallucination and delusional self-reference, successfully treated by aripiprazole augmentation of antidepressant therapy.BackgroundOlfactory reference syndrome is a nosologic entity, which has been assimilated to various Di

  • An Olfactory reference syndrome successfully treated by aripiprazole augmentation of antidepressant therapy
    'Ovid Technologies (Wolters Kluwer Health)', 2008
    Co-Authors: Riccardo Muffatti, Silvio Scarone, Orsola Gambini
    Abstract:

    Abstract: Objective: To describe a case of a 65-year-old woman with persistent Olfactory Hallucination and delusional self-reference, successfully treated by aripiprazole augmentation of antidepressant therapy. Background: Olfactory reference syndrome is a nosologic entity, which has been assimilated to various Diagnostic and Statistical Manual of Mental Disorder-IV-text revision codified diseases and several pharmacologic treatments have been proposed without a constant clinical response. Method: Psychiatric, neurologic, neuropsychologic, imaging, and electroencephalogram data are reported. Results: The patient showed a significant improvement with aripiprazole. Conclusions: We propose a pathophysiologic model of Olfactory reference syndrome to explain the good response of our patient to aripiprazole. We hypothesize a disruption in the top-down regulation of the orbitofrontal cortex on the primary Olfactory cortex and the Olfactory bulb at the basis of the illness. Aripiprazole acting as a partial agonist of dopamine D2 receptors in the Olfactory bulb compensates for the lack of modulation in this site, restoring the correct processing of Olfactory information

Silvio Scarone - One of the best experts on this subject based on the ideXlab platform.

  • An Olfactory reference syndrome successfully treated by aripiprazole augmentation of antidepressant therapy.
    Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology, 2008
    Co-Authors: Riccardo Muffatti, Silvio Scarone, Orsola Gambini
    Abstract:

    ObjectiveTo describe a case of a 65-year-old woman with persistent Olfactory Hallucination and delusional self-reference, successfully treated by aripiprazole augmentation of antidepressant therapy.BackgroundOlfactory reference syndrome is a nosologic entity, which has been assimilated to various Di

  • An Olfactory reference syndrome successfully treated by aripiprazole augmentation of antidepressant therapy
    'Ovid Technologies (Wolters Kluwer Health)', 2008
    Co-Authors: Riccardo Muffatti, Silvio Scarone, Orsola Gambini
    Abstract:

    Abstract: Objective: To describe a case of a 65-year-old woman with persistent Olfactory Hallucination and delusional self-reference, successfully treated by aripiprazole augmentation of antidepressant therapy. Background: Olfactory reference syndrome is a nosologic entity, which has been assimilated to various Diagnostic and Statistical Manual of Mental Disorder-IV-text revision codified diseases and several pharmacologic treatments have been proposed without a constant clinical response. Method: Psychiatric, neurologic, neuropsychologic, imaging, and electroencephalogram data are reported. Results: The patient showed a significant improvement with aripiprazole. Conclusions: We propose a pathophysiologic model of Olfactory reference syndrome to explain the good response of our patient to aripiprazole. We hypothesize a disruption in the top-down regulation of the orbitofrontal cortex on the primary Olfactory cortex and the Olfactory bulb at the basis of the illness. Aripiprazole acting as a partial agonist of dopamine D2 receptors in the Olfactory bulb compensates for the lack of modulation in this site, restoring the correct processing of Olfactory information