Power spectra reveal distinct BOLD resting-state time courses in white matter.

Accurate characterization of the time courses of blood-oxygen-level-dependent (BOLD) signal changes is crucial for the analysis and interpretation of functional MRI data. While several studies have shown that white matter (WM) exhibits distinct BOLD responses evoked by tasks, there have been no comprehensive investigations into the time courses of spontaneous signal fluctuations in WM. We measured the power spectra of the resting-state time courses in a set of regions within WM identified as showing synchronous signals using independent components analysis. In each component, a clear separation between voxels into two categories was evident, based on their power spectra: one group exhibited a single peak, and the other had an additional peak at a higher frequency. Their groupings are location specific, and their distributions reflect unique neurovascular and anatomical configurations. Importantly, the two categories of voxels differed in their engagement in functional integration, revealed by differences in the number of interregional connections based on the two categories separately. Taken together, these findings suggest WM signals are heterogeneous in nature and depend on local structural-vascular-functional associations.

Chronic Administration of Fipronil Heterogeneously Alters the Neurochemistry of Monoaminergic Systems in the Rat Brain.

Fipronil (FPN), a widely used pesticide for agricultural and non-agricultural pest control, is possibly neurotoxic for mammals. Brain monoaminergic systems, involved in virtually all brain functions, have been shown to be sensitive to numerous pesticides. Here, we addressed the hypothesis that chronic exposure to FPN could modify brain monoamine neurochemistry. FPN (10 mg/kg) was chronically administered for 21 days through oral gavage in rats. Thereafter, the tissue concentrations of dopamine (DA) and its metabolites, 3,4-dihydroxyphenylacetic acid (DOPAC) and homovanillic acid; serotonin (5-HT) and its metabolite, 5-hydroxyindoleacetic acid (5-HIAA); and noradrenaline (NA) were measured in 30 distinct brain regions. FPN significantly decreased DA and its metabolite levels in most striatal territories, including the nucleus accumbens and the substantia nigra (SN). FPN also diminished 5-HT levels in some striatal regions and the SN. The indirect index of the turnovers, DOPAC/DA and 5-HIAA/5-HT ratios, was increased in numerous brain regions. FPN reduced the NA content only in the nucleus accumbens core. Using the Bravais-Pearson test to study the neurochemical organization of monoamines through multiple correlative analyses across the brain, we found fewer correlations for NA, DOPAC/DA, and 5-HIAA/5-HT ratios, and an altered pattern of correlations within and between monoamine systems. We therefore conclude that the chronic administration of FPN in rats induces massive and inhomogeneous changes in the DA and 5-HT systems in the brain.

Diet-induced obesity causes hypothalamic neurochemistry alterations in Swiss mice.

The aim of this study was to assess inflammatory parameters, oxidative stress and energy metabolism in the hypothalamus of diet-induced obese mice. Male Swiss mice were divided into two study groups: control group and obese group. The animals in the control group were fed a diet with adequate amounts of macronutrients (normal-lipid diet), whereas the animals in the obese group were fed a high-fat diet to induce obesity. Obesity induction lasted 10 weeks, at the end of this period the disease model was validated in animals. The animals in the obese group had higher calorie consumption, higher body weight and higher weight of mesenteric fat compared to control group. Obesity showed an increase in levels of interleukin 1ß and decreased levels of interleukin 10 in the hypothalamus. Furthermore, increased lipid peroxidation and protein carbonylation, and decreased level of glutathione in the hypothalamus of obese animals. However, there was no statistically significant difference in the activity of antioxidant enzymes, superoxide dismutase and catalase. The obese group had lower activity of complex I, II and IV of the mitochondrial respiratory chain, as well as lower activity of creatine kinase in the hypothalamus as compared to the control group. Thus, the results from this study showed changes in inflammatory markers, and dysregulation of metabolic enzymes in the pathophysiology of obesity.

The Effects of Chronic Amitriptyline on Zebrafish Behavior and Monoamine Neurochemistry.

Amitriptyline is a commonly used tricyclic antidepressant (TCA) inhibiting serotonin and norepinephrine reuptake. The exact CNS action of TCAs remains poorly understood, necessitating new screening approaches and novel model organisms. Zebrafish (Danio rerio) are rapidly emerging as a promising tool for pharmacological research of antidepressants, including amitriptyline. Here, we examine the effects of chronic 2-week exposure to 10 and 50 µg/L amitriptyline on zebrafish behavior and monoamine neurotransmitters. Overall, the drug at 50 µg/L evoked pronounced anxiolytic-like effects in the novel tank test (assessed by more time in top, fewer transition and shorter latency to enter the top). Like other TCAs, amitriptyline reduced serotonin turnover, but also significantly elevated whole-brain norepinephrine and dopamine levels. The latter effect was not reported in this model previously, and accompanied higher brain expression of tyrosine hydroxylase (a rate-limiting enzyme of catecholamine biosynthesis), but unaltered expression of dopamine-ß-hydroxylase and monoamine oxidase (the enzymes of dopamine metabolism). This response may underlie chronic amitriptyline action on dopamine and norepinephrine neurotransmission, and contribute to the complex CNS profile of this drug observed both clinically and in animal models. Collectively, these findings also confirm the important role of monoamine modulation in the regulation of anxiety-related behavior in zebrafish, and support the utility of this organism as a promising in-vivo model for CNS drug screening.

Self-powered electrochemical systems as neurochemical sensors: toward self-triggered in vivo analysis of brain chemistry.

Real-time in vivo analysis of neurochemical dynamics has great physiological and pathological implications for a full understanding of the brain. Self-powered electrochemical systems (SPESs) built on galvanic cell configurations bear the advantages of easy miniaturization for implantation and no interference to electric activities of neurons over traditional externally-powered electrochemical sensors for self-triggered in vivo analysis. However, this is still a new concept for in vivo neurochemical sensing with few implanted examples reported so far. This tutorial review summarizes the development of SPESs toward implantable applications from both principal and practical perspectives, ultimately aimed at providing a guide map to the future design of neurochemical sensors for in vivo analysis of brain chemistry.

LRRK2 mouse models: dissecting the behavior, striatal neurochemistry and neurophysiology of PD pathogenesis.

Mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common genetic cause of familial Parkinson's disease (PD), resembling the sporadic disorder. Intensive effort has been directed toward LRRK2 mouse modeling and investigation, aimed at reproducing the human disease to inform mechanistic studies of pathogenesis and design of neuroprotective therapies. The physiological function of LRRK2 is still under exploration, but a clear role in striatal neurophysiology and animal behavior has emerged. Alterations in LRRK2 impair dopamine (DA) transmission, regulation and signaling, in addition to corticostriatal synaptic plasticity. Consistently, several subtle abnormalities in motor and nonmotor abilities have been demonstrated in LRRK2 genetic mouse models, generally paralleling preclinical symptoms of early DA dysfunction. However, the variability in model design and phenotypes observed requires a critical approach in interpreting the results, adapting the model used to the specific research question. Etiologically appropriate knockin mice might represent the ultimate animal model in which to study early disease mechanisms and therapies as well as to investigate drug effectiveness and off-target consequences.

Using positron emission tomography to investigate hormone-mediated neurochemical changes across the female lifespan: implications for depression.

Ovarian hormones, particularly oestrogen and progesterone, undergo major fluctuations across the female lifespan. These hormone transition periods, such as the transition from pregnancy to postpartum, as well as the transition into menopause (perimenopause), are also known to be times of elevated susceptibility to depression. This study reviews how these transition periods likely influence neurochemical changes in the brain that result in disease vulnerability. While there are known associations between oestrogen/progesterone and different monoaminergic systems, the interactions and their potential implications for mood disorders are relatively unknown. Positron Emission Tomography (PET) allows for the in-vivo quantification of such neurochemical changes, and, thus, can provide valuable insight into how both subtle and dramatic shifts in hormones contribute to the elevated rates of depression during pre-menstrual, post-partum, and perimenopausal periods in a woman's life. As one better understands how to address the challenges of PET studies involving highly vulnerable populations, such as women who have recently given birth, one will gain the insight necessary to design and individualize treatment and therapy. Understanding the precise time-line in younger women when dramatic fluctuations in the hormonal milieu may contribute to brain changes may present a powerful opportunity to intervene before a vulnerable state develops into a diseased state in later life.

Reflections on 60 years of publication of the Journal of Neurochemistry.

This review reflects on the origins, development, publishing trends, and scientific directions of the Journal of Neurochemistry over its 60 year lifespan as seen by key contributors to the Journal's production. The Journal first appeared in May 1956 with just two issues published in that inaugural year. By 1963, it appeared monthly and, by 2002, 24 hard copy issues were published yearly. In 2014, the Journal became online only. For much of its time, the Journal was managed through two separate editorial offices each with their respective Chief Editor (the 'Western' and 'Eastern' hemispheres). The Journal was restructured to operate through a single editorial office and Editor-in-Chief from 2013. Scientifically, the Journal progressed through distinct scientific eras with the first two decades generally centered around developments in methodology followed by a period when publications delved deeper into underlying mechanisms. By the late 1980s, the Journal had entered the age of genetics and beyond, with an increasing focus on neurodegenerative diseases. Reviews have played a regular part in the success of J Neurochem with focused special and virtual issues being a highlight of recent years. Today, 60 years and onwards, J Neurochem continues to be a leading source of top-quality, original and review articles in neuroscience. We look forward to its continued success at the forefront of neurochemistry in the decades to come. This article celebrates 60 years of publication of Journal of Neurochemistry including personal reminiscences from some of the Chief Editors, past and present, as well as input from some of the key contributors to the Journal over this period. We highlight the scientific, technological, and publishing developments along the way, with reference to key papers published in the Journal. The support of the Journal toward the aims and objectives of the International Society for Neurochemistry (ISN) is also emphasized. This article is part of the 60th Anniversary special issue.

A Learned Society's Perspective on Publishing.

Scientific journals that are owned by a learned society, like the Journal of Neurochemistry (JNC), which is owned by the International Society for Neurochemistry (ISN), benefit the scientific community in that a large proportion of the income is returned to support the scientific mission of the Society. The income generated by the JNC enables the ISN to organize conferences as a platform for members and non-members alike to share their research, supporting researchers particularly in developing countries by travel grants and other funds, and promoting education in student schools. These direct benefits and initiatives for ISN members and non-members distinguish a society journal from pure commerce. However, the world of scholarly publishing is changing rapidly. Open access models have challenged the business model of traditional journal subscription and hence provided free access to publicly funded scientific research. In these models, the manuscript authors pay a publication cost after peer review and acceptance of the manuscript. Over the last decade, numerous new open access journals have been launched and traditional subscription journals have started to offer open access (hybrid journals). However, open access journals follow the general scheme that, of all participating parties, the publisher receives the highest financial benefit. The income is generated by researchers whose positions and research are mostly financed by taxpayers' or funders' money, and by reviewers and editors, who frequently are not reimbursed. Last but not least, the authors pay for the publication of their work after a rigorous and sometimes painful review process. JNC itself has an open access option, at a significantly reduced cost for Society members as an additional benefit. This article provides first-hand insights from two former Editors-in-Chief, Kunihiko Suzuki and Leslie Iversen, about the history of JNC's ownership and about the difficulties and battles fought along the way to its current success and reputation. Scientific journals that are owned by a learned society, like the Journal of Neurochemistry (JNC) which is owned by the International Society for Neurochemistry (ISN), benefit the scientific community in that a large proportion of the income is returned to support the scientific mission of the Society. The income generated by the JNC enables the ISN to organize conferences as a platform for members and non-members alike to share their research, supporting researchers particularly in developing countries by travel grants and other funds, and to promote education in student schools. These direct benefits and initiatives for ISN members and non-members distinguish a society journal from pure commerce. However, the world of scholarly publishing is changing rapidly. Open access models have challenged the business model of traditional journal subscription and hence provide free access to publicly funded scientific research. In these models, the manuscript authors pay a publication cost after peer review and acceptance of the manuscript. Over the last decade, numerous new open access journals have been launched and traditional subscription journals have started to offer open access (hybrid journals). However, open access journals pertain to the general scheme that, of all participating parties, the publisher receives the highest financial benefit. The income is generated by researchers whose positions and research are mostly financed by tax payers' or funders' money, reviewers and editors, who frequently are not reimbursed. Last but not least, the authors pay for the publication of their work after a rigorous and sometimes painful review process. JNC itself has an open access option, at a significantly reduced cost for Society members as an additional benefit. This article provides first-hand insights from a long-standing Editor-in-Chief, Kunihiko Suzuki, about the history of JNC's ownership and about difficulties and battles fought on the way to its current success and reputation today. This article is part of the 60th Anniversary special issue.

Gene regulation and genetics in neurochemistry, past to future.

Ask any neuroscientist to name the most profound discoveries in the field in the past 60 years, and at or near the top of the list will be a phenomenon or technique related to genes and their expression. Indeed, our understanding of genetics and gene regulation has ushered in whole new systems of knowledge and new empirical approaches, many of which could not have even been imagined prior to the molecular biology boon of recent decades. Neurochemistry, in the classic sense, intersects with these concepts in the manifestation of neuropeptides, obviously dependent upon the central dogma (the established rules by which DNA sequence is eventually converted into protein primary structure) not only for their conformation but also for their levels and locales of expression. But, expanding these considerations to non-peptide neurotransmitters illustrates how gene regulatory events impact neurochemistry in a much broader sense, extending beyond the neurochemicals that translate electrical signals into chemical ones in the synapse, to also include every aspect of neural development, structure, function, and pathology. From the beginning, the mutability - yet relative stability - of genes and their expression patterns were recognized as potential substrates for some of the most intriguing phenomena in neurobiology - those instances of plasticity required for learning and memory. Near-heretical speculation was offered in the idea that perhaps the very sequence of the genome was altered to encode memories. A fascinating component of the intervening progress includes evidence that the central dogma is not nearly as rigid and consistent as we once thought. And this mutability extends to the potential to manipulate that code for both experimental and clinical purposes. Astonishing progress has been made in the molecular biology of neurochemistry during the 60 years since this journal debuted. Many of the gains in conceptual understanding have been driven by methodological progress, from automated high-throughput sequencing instruments to recombinant-DNA vectors that can convey color-coded genetic modifications in the chromosomes of live adult animals. This review covers the highlights of these advances, both theoretical and technological, along with a brief window into the promising science ahead. This article is part of the 60th Anniversary special issue.

Deviance detection in auditory subcortical structures: what can we learn from neurochemistry and neural connectivity?

A remarkable ability of animals that is critical for survival is to detect and respond to to unexpected stimuli in an ever-changing world. Auditory neurons that show stimulus-specific adaptation (SSA), i.e., a decrease in their response to frequently occurring stimuli while maintaining responsiveness when different stimuli are presented, might participate in the coding of deviance occurrence. Traditionally, deviance detection is measured by the mismatch negativity (MMN) potential in studies of evoked local field potentials. We present a review of the state-of-the-art of SSA in auditory subcortical nuclei, i.e., the inferior colliculus and medial geniculate body of the thalamus, and link the differential receptor distribution and neural connectivity of those regions in which extreme SSA has been found. Furthermore, we review both SSA and MMN-like responses in auditory and non-auditory areas that exhibit multimodal sensitivities that we suggest conform to a distributed network encoding for deviance detection. The understanding of the neurochemistry and response similarities across these different regions will contribute to a better understanding of the neural mechanism underlying deviance detection.

Neurochemistry in shiverer mouse depicted on MR spectroscopy.

PURPOSE: To evaluate the neurochemical changes associated with hypomyelination, especially to clarify whether increased total N-acetylaspartate (tNAA) with decreased choline (Cho) observed in the thalamus of msd mice with the plp1 mutation is a common finding for hypomyelinating disorders. MATERIALS AND METHODS: We performed magnetic resonance imaging (MRI) and proton MR spectroscopy ((1) H-MRS) of the thalamus and cortex of postnatal 12-week shiverer mice devoid of myelin basic protein (mbp), heterozygous and wild-type mice with a 7.0T magnet. Luxol Fast Blue staining and immunohistochemical analysis with anti-Mbp, Gfap, Olig2, and NeuN antibodies were also performed. RESULTS: In the thalamus, decreased Cho and normal tNAA were observed in shiverer mice. In the cortex, tNAA, Cho, and glutamate were decreased in shiverer mice. Histological and immunohistochemical analysis of shiverer mice brains revealed hypomyelination in the thalamus, white matter, and cortex; astrogliosis and an increased number of total oligodendrocytes in the white matter; and a decreased number of neurons in the cortex. CONCLUSION: The reduction of Cho on (1) H-MRS might be a common marker for hypomyelinating disorders. A normal tNAA level in the thalamus of shiverer mice might be explained by the presence of mature oligodendrocytes, which enable neuron-to-oligodendrocyte NAA transport or NAA catabolism.

How to design PET experiments to study neurochemistry: application to alcoholism.

Positron Emission Tomography (PET) (and the related Single Photon Emission Computed Tomography) is a powerful imaging tool with a molecular specificity and sensitivity that are unique among imaging modalities. PET excels in the study of neurochemistry in three ways: 1) It can detect and quantify neuroreceptor molecules; 2) it can detect and quantify changes in neurotransmitters; and 3) it can detect and quantify exogenous drugs delivered to the brain. To carry out any of these applications, the user must harness the power of kinetic modeling. Further, the quality of the information gained is only as good as the soundness of the experimental design. This article reviews the concepts behind the three main uses of PET, the rationale behind kinetic modeling of PET data, and some of the key considerations when planning a PET experiment. Finally, some examples of PET imaging related to the study of alcoholism are discussed and critiqued.

Brain microdialysis and its applications in experimental neurochemistry.

Abstract Microdialysis is one of the most powerful neurochemistry techniques, which allows the monitoring of changes in the extracellular content of endogenous and exogenous substances in the brain of living animals. The strength as well as wide applicability of this experimental approach are based on the bulk theory of brain neurotransmission. This methodological review introduces basic principles of chemical neurotransmission and emphasizes the difference in neurotransmission types.Clear understanding of their significance and degree of engagement in regulation of physiological processes is an ultimate prerequisite not only for choosing an appropriate method of monitoring for interneuronal communication via chemical messengers but also for accurate data interpretation. The focus on the processes of synthesis/metabolism, receptor interaction/neuronal signaling or the behavioral relevance of neurochemical events sculpts the experiment design. Brain microdialysis is an important method for examining changes in the content of any substances, irrespective of their origin, in living animals. This article compares contemporary approaches and techniques that are used for monitoring neurotransmission (including in vivo brain microdialysis, voltammetric methods, etc). We highlight practical aspects of microdialysis experiments in particular to those researchers who are seeking to increase the repertoire of their experimental techniques with brain microdialysis.

High-content analysis in neuroscience.

High-content analysis (HCA) combines automated microscopy and automated image analysis to quantify complex cellular anatomy and biochemistry objectively, accurately and quickly. High-content assays that are applicable to neuroscience include those that can quantify various aspects of dendritic trees, protein aggregation, transcription factor translocation, neurotransmitter receptor internalization, neuron and synapse number, cell migration, proliferation and apoptosis. The data that are generated by HCA are rich and multiplexed. HCA thus provides a powerful high-throughput tool for neuroscientists.

Biofuel cell-based self-powered biogenerators for online continuous monitoring of neurochemicals in rat brain.

This study demonstrates a new electrochemical method for continuous neurochemical sensing with a biofuel cell-based self-powered biogenerator as the detector for the analysis of microdialysate continuously sampled from rat brain, with glucose as an example analyte. To assemble a glucose/O(2) biofuel cell that can be used as a self-powered biogenerator for glucose sensing, glucose dehydrogenase (GDH) was used as the bioanodic catalyst for the oxidation of glucose with methylene green (MG) adsorbed onto single-walled carbon nanotubes (SWNTs) as the electrocatalyst for the oxidation of dihydronicotinamide adenine dinucleotide (NADH). Laccase crosslinked onto SWNTs was used as the biocathodic catalyst for the O(2) reduction. To enable the bioanode and biocathode to work efficiently in their individually favorable solutions and to eliminate the interference between the glucose bioanode and O(2) biocathode, the biofuel cell-based biogenerator was built in a co-laminar microfluidic chip so that the bioanodic and biocathodic streams could be independently optimized to provide conditions favorable for each of the bioelectrodes. By using a home-made portable voltmeter to output the voltage generated on an external resistor, the biogenerator was used for glucose sensing based on a galvanic cell mechanism. In vitro experiments demonstrate that, under the optimized conditions, the voltage generated on an external resistor shows a linear relationship with the logarithmic glucose concentration within a concentration range of 0.2 mM to 1.0 mM. Moreover, the biogenerator exhibits a high stability and a good selectivity for glucose sensing. The validity of the biofuel cell-based self-powered biogenerator for continuous neurochemical sensing was illustrated by online continuous monitoring of striatum glucose in rat brain through the combination of in vivo microdialysis. This study offers a new and technically simple platform for continuously monitoring physiologically important species in cerebral systems.

Reliable non-invasive measurement of human neurochemistry using proton spectroscopy with an anatomically defined amygdala-specific voxel.

Given the central role of the amygdala in fear perception and expression and its likely abnormality in affective disorders and autism, there is great demand for a technique to measure differences in neurochemistry of the human amygdala. Unfortunately, it is also a technically complex target for magnetic resonance spectroscopy (MRS) due to a small volume, high field inhomogeneity and a shared boundary with hippocampus, which can undergo opposite changes in response to stress. We attempted to achieve reliable PRESS-localized single-voxel MRS at 3T of the isolated human amygdala by using anatomy to guide voxel size and location. We present data from 106 amygdala-MRS sessions from 58 volunteers aged 10 to 52 years, including two tests of one-week stability and a feasibility study in an adolescent sample. Our main outcomes were indices of spectral quality, repeated measurement variability (within- and between-subject standard deviations), and sensitivity to stable individual differences measured by intra-class correlation (ICC). We present metrics of amygdala-MRS reliability for n-acetyl-aspartate, creatine, choline, myo-Inositol, and glutamate+glutamine (Glx). We found that scan quality suffers an age-related difference in field homogeneity and modified our protocol to compensate. We further identified an effect of anatomical inclusion near the endorhinal sulcus, a region of high synaptic density, that contributes up to 29% of within-subject variability across 4 sessions (n=14). Remaining variability in line width but not signal-to-noise also detracts from reliability. Statistical correction for partial inclusion of these strong neurochemical gradients decreases n-acetyl-aspartate reliability from an intraclass correlation of 0.84 to 0.56 for 7-minute acquisitions. This suggests that systematic differences in anatomical inclusion can contribute greatly to apparent neurochemical concentrations and could produce false group differences in experimental studies. Precise, anatomically-based prescriptions that avoid age-related sources of inhomogeneity and use longer scan times may permit study of individual differences in neurochemistry throughout development in this late-maturing structure.

Quantitative analysis of neurochemical panel in rat brain and plasma by liquid chromatography-tandem mass spectrometry.

The dopamine, serotonin, and kynurenine metabolic pathways play pivotal roles on brain function, and their disturbances are closely related to various neurological diseases. Comprehensive measurements of these metabolites is thus essential for monitoring the global neurochemical responses to pathological challenges or drug intervention. However, simultaneous measurement of various neurochemcial metabolites represents a great challenge. We developed herein an original and feasible method using high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). A chemical derivatization approach using benzoyl chloride (benzoylation) was developed to achieve better chromatographic behavior and mass-detecting sensitivity. The developed method enables a rapid quantification of 11 metabolites spanning dopamine, serotonin, and kynurenine metabolic pathways within 10.5 min. With this method, we were able to simultaneously monitor inflammation induced alternations of all these metabolites in a rat brain and in particular their dynamics in plasma matrix. The balance between the serotonin and kynurenine branches of tryptophan metabolism was disrupted by lipopolysaccharide (LPS)-induced inflammation, characterized with the overproduction of neurotoxic metabolite 3-hydroxykynurenine and decreased levels of serotonin. The measured levels of this panel of neurotransimtters ranged from 4.3 ng to 10.6 µg per gram of brain tissue. All these results suggest that the presently developed method is sufficiently sensitive and robust to simultaneously monitor a large panel of metabolites with diverse properties and a large range of concentration differences. Therefore, this method will be expected to be highly useful for comprehensive studies of the pathophysiological roles and mechanisms of these critical neurotransmitters.