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Article
Autoradiographic Mapping of Neurotransmitter System Receptors in Mammalian Brain.
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Year: 1992

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Abstract

Regional localization of neurotransmitter system receptors was visualized in the gerbil grain and in the rat brain using receptor autoradiography. [H-3]Quinuclidinyl benzilate (QNB), [H-3]cyclohexyladenosine (CHA), [H-3]muscimol, [H-3]MK-801, [H-3]SCH 23390, [H-3]PN200-110, [H-3]spiperone, and [H-3]naloxone were label muscarinic receptors, adenosine A1 receptors, GABA(A) receptors, N-methyl-D-aspartate (NMDA) receptors, dopamine D1 receptors, L-type calcium channels, spirodecanone receptors, and opioid receptors, respectively. Regional localization of [H-3]QNB, [H-3]CHA, [H-3]muscimol, [H-3]MK-801, [H-3]SCH 23390, and [H-3]PN200-110 binding sites in the gerbil brain was relatively similar to that in the rat brain. In contrast, the autoradiographic distribution of [H-3]spiperone and [H-3]naloxone binding sites in the gerbil was quite different from that in the rat. This phenomenon was found especially in the hippocampus and the cerebellum. The results suggest that the gerbil differs from the rat with respect to spirodecanone and opioid binding sites in the hippocampus and the cerebellum. This finding may help to further elucidate the species differences and relationships for brain function and behavioral pharmacology


Book
Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.

Keywords

Medicine --- Pharmacology --- Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- n/a


Book
Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.

Keywords

Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- n/a


Book
Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.

Keywords

Medicine --- Pharmacology --- Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception

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