BDNF and BMI effects on brain structures of bipolar offspring: results from the global mood and brain science initiative

2017 ◽  
Vol 136 (6) ◽  
pp. 607-614 ◽  
Author(s):  
R. B. Mansur ◽  
E. Brietzke ◽  
R. S. McIntyre ◽  
B. Cao ◽  
Y. Lee ◽  
...  
Keyword(s):  
Brain Structures ◽  
Brain Science ◽  
Science Initiative

Obesity and frontal-striatal brain structures in offspring of individuals with bipolar disorder: Results from the global mood and brain science initiative

2017 ◽  
Vol 20 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Rodrigo B Mansur ◽  
Roger S McIntyre ◽  
Bo Cao ◽  
Yena Lee ◽  
Letícia Japiassú ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Brain Structures ◽  
Brain Science ◽  
Science Initiative

scholarly journals Flexible annotation atlas of the mouse brain: combining and dividing brain structures of the Allen Brain Atlas while maintaining anatomical hierarchy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Norio Takata ◽  
Nobuhiko Sato ◽  
Yuji Komaki ◽  
Hideyuki Okano ◽  
Kenji F. Tanaka
Keyword(s):  
Mouse Brain ◽  
Brain Structures ◽  
Brain Atlas ◽  
Resting State Functional Connectivity ◽  
Brain Science ◽  
Step Procedure ◽  
Public Resources ◽  
Large Brain ◽  
Magnetic Resonance Imaging Mri ◽  
And Function

AbstractA brain atlas is necessary for analyzing structure and function in neuroimaging research. Although various annotation volumes (AVs) for the mouse brain have been proposed, it is common in magnetic resonance imaging (MRI) of the mouse brain that regions-of-interest (ROIs) for brain structures (nodes) are created arbitrarily according to each researcher’s necessity, leading to inconsistent ROIs among studies. One reason for such a situation is the fact that earlier AVs were fixed, i.e. combination and division of nodes were not implemented. This report presents a pipeline for constructing a flexible annotation atlas (FAA) of the mouse brain by leveraging public resources of the Allen Institute for Brain Science on brain structure, gene expression, and axonal projection. A mere two-step procedure with user-specified, text-based information and Python codes constructs FAA with nodes which can be combined or divided objectively while maintaining anatomical hierarchy of brain structures. Four FAAs with total node count of 4, 101, 866, and 1381 were demonstrated. Unique characteristics of FAA realized analysis of resting-state functional connectivity (FC) across the anatomical hierarchy and among cortical layers, which were thin but large brain structures. FAA can improve the consistency of whole brain ROI definition among laboratories by fulfilling various requests from researchers with its flexibility and reproducibility.

Adverse effects of obesity on cognitive functions in individuals at ultra high risk for bipolar disorder: Results from the global mood and brain science initiative

2017 ◽  
Vol 19 (2) ◽  
pp. 128-134 ◽  
Author(s):  
Roger S. McIntyre ◽  
Rodrigo B. Mansur ◽  
Yena Lee ◽  
Letícia Japiassú ◽  
Kun Chen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
High Risk ◽  
Adverse Effects ◽  
Cognitive Functions ◽  
Brain Science ◽  
Ultra High Risk ◽  
Science Initiative

Identifying Emotional Specificity in Complex Large-Scale Brain Networks

2018 ◽  
Vol 10 (3) ◽  
pp. 217-218 ◽  
Author(s):  
Stefan Koelsch
Keyword(s):  
Large Scale ◽  
Brain Networks ◽  
Brain Structures ◽  
Brain Network ◽  
Nonlinear Interactions ◽  
Brain Science ◽  
Human Emotion ◽  
Target Article ◽  
Neural Processes ◽  
Network Properties

The target article is well in accordance with recent theoretical advances considering the complex large-scale brain network organization underlying emotions. Given current limitations of the methods in brain science, however, research is faced with the difficult question as to how it will be possible to elucidate the complex nonlinear interactions, the neurotransmitters involved, and the excitatory or inhibitory nature of neural processes underlying human emotion in such networks. Moreover, while investigating the network properties of neural processes underlying emotions, it is also important to keep in mind that specific brain structures, or specific brain networks, generate specific emotions. Thus, while aiming at elucidating complex large-scale brain networks of emotion, it is important to identify emotional specificity of, or within, these networks.

The Reaction of Brain Structures with OsO4-Zinc-Iodide Stain

1971 ◽  
Vol 29 ◽  
pp. 272-273
Author(s):  
Werner J. Niklowitz
Keyword(s):  
Electron Microscope ◽  
Structural Changes ◽  
Mossy Fiber ◽  
Toxic Metal ◽  
Staining Technique ◽  
Brain Structures ◽  
Oxidase Inhibitor ◽  
Fiber Layer ◽  
Hippocampal Tissue ◽  
Zinc Iodide

After intoxication of rabbits with certain substances such as convulsant agents (3-acetylpyridine), centrally acting drugs (reserpine), or toxic metal compounds (tetraethyl lead) a significant observation by phase microscope is the loss of contrast of the hippocampal mossy fiber layer. It has been suggested that this alteration, as well as changes seen with the electron microscope in the hippocampal mossy fiber boutons, may be related to a loss of neurotransmitters. The purpose of these experiments was to apply the OsO4-zinc-iodide staining technique to the study of these structural changes since it has been suggested that OsO4-zinc-iodide stain reacts with neurotransmitters (acetylcholine, catecholamines).Domestic New Zealand rabbits (2.5 to 3 kg) were used. Hippocampal tissue was removed from normal and experimental animals treated with 3-acetylpyridine (antimetabolite of nicotinamide), reserpine (anti- hypertensive/tranquilizer), or iproniazid (antidepressant/monamine oxidase inhibitor). After fixation in glutaraldehyde hippocampal tissue was treated with OsO4-zinc-iodide stain and further processed for phase and electron microscope studies.

Shaping the Brain: Science or Politics?

PsycCRITIQUES ◽  
2005 ◽  
Vol 50 (2) ◽  
Author(s):  
James P. Schmidt
Keyword(s):  
Brain Science ◽  
The Brain
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