A parallel distributed neural network model of basal ganglia based on the neuroanatomy, neuropharmacology and neurophysiology is described. Despite recent advances in the understanding of the pathophysiology of movement disorders, little is known about the precise function the banal ganglia play in the control of movement. This article reviews an approach to studying the function of neural systems that is based on the use of a class of a computer models as parallel distributed processors (PDPs) and indicate its potential range of applications to the study of movement disorders. On this model, nigro-striatal dopaminergic system is considered as a threshold on the cortico-striatal glutamatergic fibers. So this dopaminergic system can control the striatal output to the globus pallidus and the striatal net model is consistent with clinical effect of Parkinson's disease that shows loss of dopaminergic function on the striatal medium spiny neurons due to nigral degeneration. The pallidal net is more complicated due to the probable reciprocal effects of dopaminergic function on the direct and indirect pathways of striato-pallidal connections which is not well known at present. But the neural network modal of PDPs would be a important field of neuroscience in a near future.
Basal Ganglia* ; Computer Simulation ; Ganglia ; Globus Pallidus ; Movement Disorders ; Neural Networks (Computer)* ; Neuroanatomy ; Neurons ; Neuropharmacology ; Neurophysiology ; Neurosciences ; Parkinson Disease

President Obama of the United States of America announced this April the Brain Research Through Advancing Innovative Neurotechnologies (BRAIN for short) investment, while Professor Henry Markram’s team based in the European Union will spend over a billion euros on the Human Brain Project, breaking through the unknowns in the fifth science of the decade: Neuroscience. Malaysia's growth in the same field needs to be augmented, and thus the Universiti Sains Malaysia’s vision is to excel in the field of clinical brain sciences, mind sciences, and neurosciences. This will naturally bring up the level of research in the country simultaneously. Thus, a center was recently established to coordinate this venture. The four-year Integrated Neuroscience Program established recently will  be a sustainable source of neuroscientists for the country. We hope to establish ourselves by 2020 as a global university with neurosciences research as an important flagship.
Neurosciences

With a rapid development of neuroscience, the theories related to the pathophysiology of schizophrenia have been changed a lot from a simple hyperdopaminergic one to the various complicated ones. Among these, the theories regarding prefrontal cortex(PFC) pathology as a cause of schizophrenia are gaining more recognition as the results of neuroimaging and neuropsychological tests in schizophrenia consistently report abnormalities in PFC. Therefore, we first reviewed the unique characteristics of PFC in anatomy, neurochemistry and neurophysiology to enhance an understanding of those ones. Secondly, various neurotransmitter, neurodevelopmental and neural network theories of schizophrenia introduced recently were reviewed in terms of PFC pathology.
Dopamine ; Neurochemistry ; Neuroimaging ; Neurophysiology ; Neuropsychological Tests ; Neurosciences ; Neurotransmitter Agents ; Pathology ; Prefrontal Cortex* ; Schizophrenia*

The current understanding of the neurobioloby of anxiety is generally based on experimental animal model, empirical effective psychopharmacological agents, chemical and naturalistic challenge paradigms, and psychoendocinological assessment. This article focuses on reviewing neuroanantomical, neuroendocinological and neurofunctional research of anxiety disorder. In the decade ahead, we anticipate that extension of current research and the new integrated approach promise novel insight into mechanism of anxiety.
Anxiety Disorders ; Anxiety* ; Models, Animal ; Neuroanatomy ; Neurobiology* ; Neuroendocrinology ; Neuroimaging

No abstract available.
Neurosciences* ; Psychopharmacology*

The increasing number of patients with depression is a serious social issue in contemporary Korean society. To fully understand the pathophysiology of depression, this paper reviewed how depression affects the decision making process of humans. Various recent studies in behavioral economics, mathematics, medicine, and neurobiology have shown how humans make decisions and how emotional disturbances, such as depressive disorder, affect this process. There has been great progress in behavioral economics during this decade, and numerous experiments have been designed to evaluate decision making process in humans. In general, economic decision making is evaluated using the Iowa Gambling Task, and social decision making is assessed using the ultimatum game. Numerous research studies have analyzed the performance and reaction of patients with depression in these games. As a result of the advancement of neurophysiology, research has successfully identified the part of the brain that causes the specific results of tests being conducted on patients with depression. Meanwhile, computational neuroscientists have established decision making models based on bayesian framework. These models also match with the neuroanatomy. Although a large part remains unclear, researchers look forward to achieving a better understanding in depression by analyzing the distinct patterns of responses that patients under depression show in the experiment of behavioral economics.
Affective Symptoms ; Brain ; Decision Making* ; Depression* ; Depressive Disorder ; Economics, Behavioral ; Gambling ; Humans ; Interdisciplinary Studies ; Iowa ; Mathematics ; Neuroanatomy ; Neurobiology ; Neurophysiology

Polarisation of biological and psychosocial aspects of psychiatry is nowadays main stream. Current knowledges of the interaction between biology and psychology make it possible to consider a truly integrative approach of the two aspects. Research findings suggest that the neuronal plasticity is the key mechanism to answer how the mental function work to an environmental stimuli and how the psychotherapeutic approach work on the brain. Advances in neuroscience research have led to a more sophisticated understanding of how psychotherapy may affect brain function. Even though there have been a tremendous efforts to find out the neurobiological mechanism of mental function, the answer is at best premature. In this article, research findings about of neuronal plasticity, implicit memory, animal studies which were associated with psychotherapy and psychological aspects were reviewed.
Animals ; Biology ; Brain ; Memory ; Neurobiology ; Neuronal Plasticity ; Neurosciences ; Psychology ; Psychotherapy* ; Rivers

Mental functions, both normal and abnormal, are closely related to the brain function. On the other hand, it is also true that postnatal education and personal experiences could change the brain activities both chemically and physiologically and structurally. However, the relationships between the brain and mind are far from clear understanding, even though a variety of advanced knowledges and techniques, including brain imagings, neurochemistry and neuropsychopharmacology, and basic neurosciences, are at hands of scientists. In this special issue, the 5 psychiatrists took parts in elucidating the relationship between brain and mind from the point of cause of and therapeutic intervention for mental illnesses: 1) mental illness: disease of mind? 2) mental illness: disease of brain? 3) the role of biological interventions in mind 4) effect of psychological treatment: through brain change? and 5) effect of psychotherapy: through emotional growth?
Brain* ; Education ; Hand ; Humans ; Neurochemistry ; Neurosciences ; Psychiatry ; Psychotherapy

No abstract available.
Consciousness* ; Neurosciences* ; Philosophy*

During past decades, the formation and storage principle of memory have received much attention in the neuroscience field. Although some studies have attempted to demonstrate the nature of the engram, elucidating the memory engram allocation mechanism was not possible because of the limitations of existing methods, which cannot specifically modulate the candidate neuronal population. Recently, the development of new techniques, which offer ways to mark and control specific populations of neurons, may accelerate solving this issue. Here, we review the recent advances, which have provided substantial evidence showing that both candidates (neuronal population that is activated by learning, and that has increased CREB level/excitability at learning) satisfy the criteria of the engram, which are necessary and sufficient for memory expression.
Learning ; Memory ; Neurons* ; Neurosciences