Neurotransmitter Precursors and Brain Function

2015 ◽  
pp. 54-71 ◽  
Author(s):  
Peter D. Leathwood
Keyword(s):  
Brain Function ◽  
Neurotransmitter Precursors

Neurotransmitter precursors and brain function

Neurosurgery ◽  
1982 ◽  
Vol 10 (4) ◽  
pp. 524???9 ◽  
Author(s):  
L A Conlay ◽  
S H Zeisel
Keyword(s):  
Brain Function ◽  
Neurotransmitter Precursors

Neurotransmitter Precursors and Brain Function

Neurosurgery ◽  
1982 ◽  
Vol 10 (4) ◽  
pp. 524-529 ◽  
Author(s):  
Lydia A. Conlay ◽  
Steven H. Zeisel
Keyword(s):  
Brain Function ◽  
Neurotransmitter Precursors

Nutrient control of brain neurotransmitter synthesis and function

1983 ◽  
Vol 61 (4) ◽  
pp. 271-281 ◽  
Author(s):  
G. Harvey Anderson ◽  
Janice L. Johnston
Keyword(s):  
Brain Function ◽  
Brain Metabolism ◽  
Nutrient Content ◽  
Feedback Systems ◽  
The Past ◽  
Brain Neurotransmitter ◽  
And Function ◽  
Neurotransmitter Precursors ◽  
To Receive ◽  
The Brain

The significance of normal variations in dietary and plasma nutrient content to brain metabolism and function began to receive examination in the past decade. It is now clear that the brain is much more sensitive to variations in nutrient supply than previously thought. Indeed, it seems likely that the diet-induced plasma fluctuations in nutrients, either as a result of their cofactor roles or as neurotransmitter precursors, are important components of feedback systems assisting the brain in controlling many of its functions. This discovery has suggested new approaches to understanding mechanisms controlling brain function and to treatment of diseases of the brain.

A challenge for predictive coding: Representational or experiential diversity?

2020 ◽  
Vol 43 ◽  
Author(s):  
Martina G. Vilas ◽  
Lucia Melloni
Keyword(s):  
Brain Function ◽  
Predictive Coding ◽  
Predictive Processing ◽  
Process Theory

Abstract To become a unifying theory of brain function, predictive processing (PP) must accommodate its rich representational diversity. Gilead et al. claim such diversity requires a multi-process theory, and thus is out of reach for PP, which postulates a universal canonical computation. We contend this argument and instead propose that PP fails to account for the experiential level of representations.

Toward a neuroscope: An application of high-performance computing for real-time evaluation of brain function using MRI

1994 ◽  
Vol 52 ◽  
pp. 922-923
Author(s):  
C. S. Potter ◽  
C. D. Gregory ◽  
H. D. Morris ◽  
Z.-P. Liang ◽  
P. C. Lauterbur
Keyword(s):  
Human Brain ◽  
Brain Function ◽  
High Performance ◽  
Complex Signal ◽  
Time Step ◽  
Brain Organization ◽  
Cognitive Studies ◽  
Positron Emission ◽  
Imaging And Spectroscopy ◽  
3D Anatomy

Over the past few years, several laboratories have demonstrated that changes in local neuronal activity associated with human brain function can be detected by magnetic resonance imaging and spectroscopy. Using these methods, the effects of sensory and motor stimulation have been observed and cognitive studies have begun. These new methods promise to make possible even more rapid and extensive studies of brain organization and responses than those now in use, such as positron emission tomography.Human brain studies are enormously complex. Signal changes on the order of a few percent must be detected against the background of the complex 3D anatomy of the human brain. Today, most functional MR experiments are performed using several 2D slice images acquired at each time step or stimulation condition of the experimental protocol. It is generally believed that true 3D experiments must be performed for many cognitive experiments. To provide adequate resolution, this requires that data must be acquired faster and/or more efficiently to support 3D functional analysis.

Monitor Brain Function Selectively

2005 ◽  
Vol 38 (24) ◽  
pp. 18
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  
Brain Function

The Psychophysiology of Anxiety and Mood Disorders

2017 ◽  
Vol 225 (3) ◽  
pp. 175-188 ◽  
Author(s):  
Peter J. Lang ◽  
Lisa M. McTeague ◽  
Margaret M. Bradley
Keyword(s):  
Mental Health ◽  
Heart Rate ◽  
Brain Function ◽  
Physiological Reactivity ◽  
Research Domain Criteria ◽  
Diagnostic Systems ◽  
Psychophysiological Reactivity ◽  
Diagnostic Categories ◽  
New Research ◽  
Research Domain

Abstract. Several decades of research are reviewed, assessing patterns of psychophysiological reactivity in anxiety patients responding to a fear/threat imagery challenge. Findings show substantive differences in these measures within principal diagnostic categories, questioning the reliability and categorical specificity of current diagnostic systems. Following a new research framework (US National Institute of Mental Health [NIMH], Research Domain Criteria [RDoC]; Cuthbert & Insel, 2013 ), dimensional patterns of physiological reactivity are explored in a large sample of anxiety and mood disorder patients. Patients’ responses (e.g., startle reflex, heart rate) during fear/threat imagery varied significantly with higher questionnaire measured “negative affect,” stress history, and overall life dysfunction – bio-marking disorder groups, independent of Diagnostic and Statistical Manuals (DSM). The review concludes with a description of new research, currently underway, exploring brain function indices (structure activation, circuit connectivity) as potential biological classifiers (collectively with the reflex physiology) of anxiety and mood pathology.

Review of Nutrients and Brain Function.

1989 ◽  
Vol 34 (8) ◽  
pp. 801-801
Author(s):  
No authorship indicated
Keyword(s):  
Brain Function
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