scholarly journals Connectivity adaptations in dopaminergic systems define the brain maturity of investors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elena Ortiz-Teran ◽  
Ibai Diez ◽  
Jorge Sepulcre ◽  
Joaquin Lopez-Pascual ◽  
Tomas Ortiz
Keyword(s):  
Stress Responses ◽  
Work Experience ◽  
Brain Connectivity ◽  
Gray Matter Volume ◽  
Reward Processing ◽  
Brain Anatomy ◽  
Financial Trading ◽  
Dopaminergic Systems ◽  
And Function ◽  
External Stimuli

AbstractInvestment decisions rely on perceptions from external stimuli along with the integration of inner brain-body signals, all of which are shaped by experience. As experience is capable of molding both the structure and function of the human brain, we have used a novel neuroimaging connectomic-genetic approach to investigate the influence of investment work experience on brain anatomy. We found that senior investors display higher gray matter volume and increased structural brain connectivity in dopamine-related pathways, as well as a set of genes functionally associated with adrenaline and noradrenaline biosynthesis (SLC6A3, TH and SLC18A2), which is seemingly involved in reward processing and bodily stress responses during financial trading. These results suggest the key role of catecholamines in the way senior investors harness their emotions while raising bodily awareness as they grow in investment maturity.

Magnetic Resonance Methodologies

2017 ◽  
Author(s):  
Peter A. Bandettini ◽  
Hanzhang Lu
Keyword(s):  
Magnetic Resonance ◽  
Brain Metabolism ◽  
Brain Connectivity ◽  
Resting State Fmri ◽  
Cutting Edge ◽  
Brain Anatomy ◽  
Resonance Imaging ◽  
Specific Assessment ◽  
Structural Connections ◽  
And Function

Magnetic resonance imaging is a noninvasive tool for assessing brain anatomy, perfusion, metabolism, and function with precision. In this chapter, the basics and the most cutting edge examples of MRI-based measures are described. The first is measurement of cerebral perfusion, including the latest techniques involving spin-labelling as well as the tracking of exogenous contrast agents. Functional MRI is then discussed, along with some of the cutting edge methodology that has yet to make it into routine clinical practice. Next, resting state fMRI is described, a powerful technique whereby the entire brain connectivity can be established. Diffusion-based MRI techniques are useful for diagnosing brain trauma as well as understanding the structural connections in healthy and pathological brains. Spectroscopy is able to make spatially specific and metabolite-specific assessment of brain metabolism. The chapter ends with an overview of structural imaging with MRI, highlighting the developing field of morphometry and its potential for differentially assessing individual brains.

scholarly journals High resolution structural and functional MRI of the hippocampus in young adults with Down syndrome

2021 ◽  
Author(s):  
Katherine A Koenig ◽  
Se-Hong Oh ◽  
Melissa R Stasko ◽  
Elizabeth C Roth ◽  
H Gerry Taylor ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Functional Connectivity ◽  
Cortical Thickness ◽  
Right Hemisphere ◽  
Gray Matter Volume ◽  
Drug Efficacy ◽  
Structure And Function ◽  
7 Tesla ◽  
Whole Brain ◽  
And Function

Abstract Down syndrome is the phenotypic consequence of trisomy 21, with clinical presentation including both neurodevelopmental and neurodegenerative components. Although the intellectual disability typically displayed by individuals with Down syndrome is generally global, it also involves disproportionate deficits in hippocampally-mediated cognitive processes. Hippocampal dysfunction may also relate to Alzheimer’s disease-type pathology, which can appear in as early as the first decade of life and becomes universal by age 40. Using 7-tesla MRI of the brain, we present an assessment of the structure and function of the hippocampus in 34 individuals with Down syndrome (mean age 24.5 years ± 6.5) and 27 age- and sex-matched typically developing healthy controls. In addition to increased whole-brain mean cortical thickness and lateral ventricle volumes (p < 1.0 × 10−4), individuals with Down syndrome showed selective volume reductions in bilateral hippocampal subfields CA1, dentate gyrus, and tail (p < 0.005). In the group with Down syndrome, bilateral hippocampi showed widespread reductions in the strength of functional connectivity, predominately to frontal regions (p < 0.02). Age was not related to hippocampal volumes or functional connectivity measures in either group, but both groups showed similar relationships of age to whole-brain volume measures (p < 0.05). Finally, we performed an exploratory analysis of a subgroup of individuals with Down syndrome with both imaging and neuropsychological assessments. This analysis indicated that measures of spatial memory were related to mean cortical thickness, total gray matter volume, and right hemisphere hippocampal subfield volumes (p < 0.02). This work provides a first demonstration of the usefulness of high-field MRI to detect subtle differences in structure and function of the hippocampus in individuals with Down syndrome, and suggests the potential for development of MRI-derived measures as surrogate markers of drug efficacy in pharmacological studies designed to investigate enhancement of cognitive function.

scholarly journals Restoration of Noradrenergic Function in Parkinson’s Disease Model Mice

ASN NEURO ◽  
2021 ◽  
Vol 13 ◽  
pp. 175909142110097
Author(s):  
Kui Cui ◽  
Fan Yang ◽  
Turan Tufan ◽  
Muhammad U. Raza ◽  
Yanqiang Zhan ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Transcription Factors ◽  
Disease Model ◽  
Neuronal Loss ◽  
Mrna Levels ◽  
Gene Therapies ◽  
Protein Levels ◽  
Dopaminergic Systems ◽  
And Function

Dysfunction of the central noradrenergic and dopaminergic systems is the primary neurobiological characteristic of Parkinson’s disease (PD). Importantly, neuronal loss in the locus coeruleus (LC) that occurs in early stages of PD may accelerate progressive loss of dopaminergic neurons. Therefore, restoring the activity and function of the deficient noradrenergic system may be an important therapeutic strategy for early PD. In the present study, the lentiviral constructions of transcription factors Phox2a/2b, Hand2 and Gata3, either alone or in combination, were microinjected into the LC region of the PD model VMAT2 Lo mice at 12 and 18 month age. Biochemical analysis showed that microinjection of lentiviral expression cassettes into the LC significantly increased mRNA levels of Phox2a, and Phox2b, which were accompanied by parallel increases of mRNA and proteins of dopamine β-hydroxylase (DBH) and tyrosine hydroxylase (TH) in the LC. Furthermore, there was considerable enhancement of DBH protein levels in the frontal cortex and hippocampus, as well as enhanced TH protein levels in the striatum and substantia nigra. Moreover, these manipulations profoundly increased norepinephrine and dopamine concentrations in the striatum, which was followed by a remarkable improvement of the spatial memory and locomotor behavior. These results reveal that over-expression of these transcription factors in the LC improves noradrenergic and dopaminergic activities and functions in this rodent model of PD. It provides the necessary groundwork for the development of gene therapies of PD, and expands our understanding of the link between the LC-norepinephrine and dopamine systems during the progression of PD.

scholarly journals Genome-wide identification and analysis of class III peroxidases in Betula pendula

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kewei Cai ◽  
Huixin Liu ◽  
Song Chen ◽  
Yi Liu ◽  
Xiyang Zhao ◽  
...  
Keyword(s):  
Stress Responses ◽  
Betula Pendula ◽  
Expression Patterns ◽  
Class Iii ◽  
Physiological Processes ◽  
Plant Life ◽  
Genome Wide ◽  
Plant Life Cycle ◽  
Class Iii Peroxidases ◽  
And Function

Abstract Background Class III peroxidases (POD) proteins are widely present in the plant kingdom that are involved in a broad range of physiological processes including stress responses and lignin polymerization throughout the plant life cycle. At present, POD genes have been studied in Arabidopsis, rice, poplar, maize and Chinese pear, but there are no reports on the identification and function of POD gene family in Betula pendula. Results We identified 90 nonredundant POD genes in Betula pendula. (designated BpPODs). According to phylogenetic relationships, these POD genes were classified into 12 groups. The BpPODs are distributed in different numbers on the 14 chromosomes, and some BpPODs were located sequentially in tandem on chromosomes. In addition, we analyzed the conserved domains of BpPOD proteins and found that they contain highly conserved motifs. We also investigated their expression patterns in different tissues, the results showed that some BpPODs might play an important role in xylem, leaf, root and flower. Furthermore, under low temperature conditions, some BpPODs showed different expression patterns at different times. Conclusions The research on the structure and function of the POD genes in Betula pendula plays a very important role in understanding the growth and development process and the molecular mechanism of stress resistance. These results lay the theoretical foundation for the genetic improvement of Betula pendula.

scholarly journals Impaired developmental microglial pruning of excitatory synapses on CRH-expressing hypothalamic neurons exacerbates stress responses throughout life

2021 ◽  
Author(s):  
Jessica L Bolton ◽  
Annabel K Short ◽  
Shivashankar Othy ◽  
Cassandra L Kooiker ◽  
Manlin Shao ◽  
...  
Keyword(s):  
Stress Responses ◽  
Life Stress ◽  
Early Life ◽  
Early Life Stress ◽  
Mental Illnesses ◽  
Excitatory Synapses ◽  
Process Dynamics ◽  
Brain Circuits ◽  
Synapse Density ◽  
And Function

The developmental origins of stress-related mental illnesses are well-established, and early-life stress/adversity (ELA) is an important risk factor. However, it is unclear how ELA impacts the maturation of salient brain circuits, provoking enduring vulnerability to stress and stress-related disorders. Here we find that ELA increases the number and function of excitatory synapses onto stress-sensitive hypothalamic corticotropin-releasing hormone (CRH)-expressing neurons, and implicate disrupted synapse pruning by microglia as a key mechanism. Microglial process dynamics on live imaging, and engulfment of synaptic elements by microglia, were both attenuated in ELA mice, associated with deficient signaling of the microglial phagocytic receptor Mer. Accordingly, selective chemogenetic activation of ELA microglia increased microglial process dynamics and reduced excitatory synapse density to control levels. Selective early-life microglial activation also mitigated the adrenal hypertrophy and prolonged stress responses in adult ELA mice, establishing microglial actions during development as powerful contributors to experience-dependent sculpting of stress-related brain circuits.

scholarly journals miRador: a fast and precise tool for the prediction of plant miRNAs

2021 ◽  
Author(s):  
Reza K Hammond ◽  
Parth Patel ◽  
Pallavi Gupta ◽  
Blake C. Meyers
Keyword(s):  
Stress Responses ◽  
Target Prediction ◽  
Accurate Identification ◽  
Rna Molecules ◽  
Prediction Tools ◽  
Novel Mirna ◽  
Precise Tool ◽  
Computationally Intensive ◽  
And Function ◽  
Post Transcriptional Regulation

Plant microRNAs (miRNAs) are short, non-coding RNA molecules that restrict gene expression via post-transcriptional regulation and function in several essential pathways including development, growth, and stress responses. Accurately identifying miRNAs in populations of small RNA (sRNA) sequencing libraries is a computationally intensive process which has resulted in the misidentification of inaccurately annotated miRNA sequences. In recent years, criteria for miRNA annotation have been refined to reduce these misannotations. Here, we describe miRador, a novel miRNA identification tool that utilizes the most up-to-date, community-established criteria for accurate identification of miRNAs in plants. We combine target prediction and Parallel Analysis of RNA Ends (PARE) data to assess the precision of the miRNAs identified by miRador. We compare miRador to other commonly used miRNA prediction tools and we find that miRador is at least as precise as other prediction tools while being significantly faster than other tools.

scholarly journals The Skin Epilipidome in Stress, Aging, and Inflammation

2021 ◽  
Vol 11 ◽  
Author(s):  
Florian Gruber ◽  
Martina Marchetti-Deschmann ◽  
Christopher Kremslehner ◽  
Markus Schosserer
Keyword(s):  
Mass Spectrometry ◽  
Stress Responses ◽  
Immune Regulation ◽  
Biological Function ◽  
Cell Types ◽  
Skin Lipids ◽  
Surface Lipids ◽  
Mammalian Skin ◽  
Recent Developments ◽  
And Function

Lipids are highly diverse biomolecules crucial for the formation and function of cellular membranes, for metabolism, and for cellular signaling. In the mammalian skin, lipids additionally serve for the formation of the epidermal barrier and as surface lipids, together regulating permeability, physical properties, acidification and the antimicrobial defense. Recent advances in accuracy and specificity of mass spectrometry have allowed studying enzymatic and non-enzymatic modifications of lipids—the epilipidome—multiplying the known diversity of molecules in this class. As the skin is an organ that is frequently exposed to oxidative-, chemical- and thermal stress, and to injury and inflammation, it is an ideal organ to study epilipidome dynamics, their causes, and their biological consequences. Recent studies uncover loss or gain in biological function resulting from either specific modifications or the sum of the modifications of lipids. These studies suggest an important role for the epilipidome in stress responses and immune regulation in the skin. In this minireview we provide a short survey of the recent developments on causes and consequences of epilipidomic changes in the skin or in cell types that reside in the skin.

scholarly journals Network Neuroscience and Personality

2018 ◽  
Vol 1 ◽  
Author(s):  
Sebastian Markett ◽  
Christian Montag ◽  
Martin Reuter
Keyword(s):  
Nervous System ◽  
Individual Differences ◽  
Personality Traits ◽  
Brain Connectivity ◽  
Gray Matter Volume ◽  
Actual Behavior ◽  
Present Contribution ◽  
Nervous Systems ◽  
The Brain ◽  
Network Neuroscience

AbstractPersonality and individual differences originate from the brain. Despite major advances in the affective and cognitive neurosciences, however, it is still not well understood how personality and single personality traits are represented within the brain. Most research on brain-personality correlates has focused either on morphological aspects of the brain such as increases or decreases in local gray matter volume, or has investigated how personality traits can account for individual differences in activation differences in various tasks. Here, we propose that personality neuroscience can be advanced by adding a network perspective on brain structure and function, an endeavor that we label personality network neuroscience.With the rise of resting-state functional magnetic resonance imaging (MRI), the establishment of connectomics as a theoretical framework for structural and functional connectivity modeling, and recent advancements in the application of mathematical graph theory to brain connectivity data, several new tools and techniques are readily available to be applied in personality neuroscience. The present contribution introduces these concepts, reviews recent progress in their application to the study of individual differences, and explores their potential to advance our understanding of the neural implementation of personality.Trait theorists have long argued that personality traits are biophysical entities that are not mere abstractions of and metaphors for human behavior. Traits are thought to actually exist in the brain, presumably in the form of conceptual nervous systems. A conceptual nervous system refers to the attempt to describe parts of the central nervous system in functional terms with relevance to psychology and behavior. We contend that personality network neuroscience can characterize these conceptual nervous systems on a functional and anatomical level and has the potential do link dispositional neural correlates to actual behavior.

Effects of Alcoholism on Neurological Function and Disease in Adulthood

2014 ◽  
Author(s):  
Marlene Oscar-Berman ◽  
Trinity A. Urban ◽  
Avram J. Holmes
Keyword(s):  
Alcohol Use ◽  
Clinical Course ◽  
Alcohol Use Disorders ◽  
Brain Anatomy ◽  
Clinical Settings ◽  
Negative Consequences ◽  
Neuropsychological Effects ◽  
Brain Structure And Function ◽  
Optimal Approach ◽  
And Function

Alcoholism is associated with disparate and widespread negative consequences for brain anatomy and function. Consistent with a diffuse neurobiological profile, alcoholism is marked by a heterogeneous mix of cognitive and emotional abnormalities. Alcohol use disorders arise through diverse origins and follow an uncertain clinical course, with severity and consequences depending on many factors. The identification of specific alcoholism-related deficits is constrained both by methodological techniques employed and the distinct populations studied. To understand alcoholism-related alterations in brain structure and function, it is critical to consider the influence of contextual factors on clinical course. The optimal approach for understanding alcohol use disorders leverages a variety of scientific methodologies and clinical settings. The resulting confluence of data can provide evidence linking alterations in neurobiology with behavioral and neuropsychological effects of alcoholism. Critically, these data may help determine the degree to which abstinence and treatment facilitate the reversal of brain atrophy and dysfunction.

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