Fractals in the Nervous System: conceptual Implications for Theoretical Neuroscience

This essay is presented with two principal objectives in mind: first, to document the prevalence of fractals at all levels of the nervous system, giving credence to the notion of their functional relevance; and second, to draw attention to the as yet still unresolved issues of the detailed relationships among power law scaling, self-similarity, and self-organized criticality. As regards criticality, I will document that it has become a pivotal reference point in Neurodynamics. Furthermore, I will emphasize the not yet fully appreciated significance of allometric control processes. For dynamic fractals, I will assemble reasons for attributing to them the capacity to adapt task execution to contextual changes across a range of scales. The final Section consists of general reflections on the implications of the reviewed data, and identifies what appear to be issues of fundamental importance for future research in the rapidly evolving topic of this review

A SYSTEMS APPROACH TO THE PROBLEM OF FALLS IN OLD AGE

The problem of falls in old age is enormously costly and disruptive for the older individual, others, and society, and its severity is likely to intensify as our population ages. This dissertation takes a systems-oriented approach toward the falls problem and is presented in two parts. The first part critically develops a new approach to the problem of falls. The second part describes an empirical study that applies this new approach in a pragmatic manner. Conventional fall prevention strategies employ a reductionist approach to the problem of falls. This approach is questioned because it corresponds poorly to the holistic nature of postural control. A systems-oriented conceptual framework explains postural instability in old age as the gradual decline of a postural control system’s ability to adapt. Realizing that falls arise from a complex system of interacting components of various levels and domains makes it imperative to investigate interventions aimed toward systemically fostering robust postural control. A dynamic systems theoretical framework is outlined that views postural control to be the result of synergies which function to control myriad inherent degrees of freedom. Complexity-based measures of postural sway are suggested as indicators of postural control system robustness. This new approach to the problem of falls is applied in an empirical study in which Tai Chi serves as a systems-oriented intervention. Using a dynamic systems perspective, motor imagery, along with other Tai Chi principles, are hypothesized to provide interacting physical and cognitive constraints on motor behavior that form synergies which enable robust postural stability into old age. This hypothesis was tested in a quasi-experiment comparing effects of Tai Chi motor imagery in Tai Chi experts and non-experts. The expected significant effects on postural sway complexity were not found, but significant main effects and interactions on sway variability and ease of imagery were discovered with respect to expertise and imagery type. Findings, results, innovations, implications and future directions are presented, and discussed as they pertain to four specific aims, and to ameliorating the problem of falls in old age

Advances in Clinical Neurophysiology

Including some of the newest advances in the field of neurophysiology, this book can be considered as one of the treasures that interested scientists would like to collect. It discusses many disciplines of clinical neurophysiology that are, currently, crucial in the practice as they explain methods and findings of techniques that help to improve diagnosis and to ensure better treatment. While trying to rely on evidence-based facts, this book presents some new ideas to be applied and tested in the clinical practice. Advances in Clinical Neurophysiology is important not only for the neurophysiologists but also for clinicians interested or working in wide range of specialties such as neurology, neurosurgery, intensive care units, pediatrics and so on. Generally, this book is written and designed to all those involved in, interpreting or requesting neurophysiologic tests

Global signal modulation of single-trial fMRI response variability: effect on positive vs negative BOLD response relationship

In functional magnetic resonance imaging (fMRI), the relationship between positive BOLD responses (PBRs) and negative BOLD responses (NBRs) to stimulation is potentially informative about the balance of excitatory and inhibitory brain responses in sensory cortex. In this study, we performed three separate experiments delivering visual, motor or somatosensory stimulation unilaterally, to one side of the sensory field, to induce PBR and NBR in opposite brain hemispheres. We then assessed the relationship between the evoked amplitudes of contralateral PBR and ipsilateral NBR at the level of both single-trial and average responses. We measure single-trial PBR and NBR peak amplitudes from individual time-courses, and show that they were positively correlated in all experiments. In contrast, in the average response across trials the absolute magnitudes of both PBR and NBR increased with increasing stimulus intensity, resulting in a negative correlation between mean response amplitudes. Subsequent analysis showed that the amplitude of single-trial PBR was positively correlated with the BOLD response across all grey-matter voxels and was not specifically related to the ipsilateral sensory cortical response. We demonstrate that the global component of this single-trial response modulation could be fully explained by voxel-wise vascular reactivity, the BOLD signal standard deviation measured in a separate resting-state scan (resting state fluctuation amplitude, RSFA). However, bilateral positive correlation between PBR and NBR regions remained. We further report that modulations in the global brain fMRI signal cannot fully account for this positive PBR-NBR coupling and conclude that the local sensory network response reflects a combination of superimposed vascular and neuronal signals. More detailed quantification of physiological and noise contributions to the BOLD signal is required to fully understand the trial-by-trial PBR and NBR relationship compared with that of average responses

Development of an Awake Behaving model for Laser Doppler Flowmetry in Mice

Bien que le cerveau ne constitue que 2% de la masse du corps chez les humains, il présente l’activité métabolique la plus élevée dans le corps, et en conséquence, constitue un organe hautement vascularisé. En fait, l’approvisionnement en sang dans le cerveau est strictement modulé au niveau régional par un mécanisme fondamental nommé couplage neurovasculaire (CNV), qui associe les besoins métaboliques locaux au flux sanguin cérébral [1, 2]. Notre compréhension du CNV sous des conditions physiologiques et pathologiques a été améliorée par un large éventail d’études menées chez les rongeurs. Néanmoins, ces études ont été réalisées soit sous anesthésie, soit chez la souris éveillée et immobilisée, afin d’éviter le mouvement de la tête pendant l'acquisition de l'image. Les anesthésiques, ainsi que le stress induit par la contention, peuvent altérer l'hémodynamique cérébrale, ce qui pourrait entraver les résultats obtenus. Par conséquent, il est essentiel de contrôler ces facteurs lors de recherches futures menées au sujet de la réponse neurovasculaire. Au cours de l’étude présente, nous avons développé un nouveau dispositif pour l'imagerie optique éveillée, où la tête de la souris est immobilisée, mais son corps est libre de marcher, courir ou se reposer sur une roue inclinée. En outre, nous avons testé plusieurs protocoles d'habituation, selon lesquels la souris a été progressivement entraînée pour tolérer l’immobilisation de tête, afin de minimiser le stress ressenti lors des sessions d'imagerie. Enfin, nous avons, pour la première fois, cherché à valider l'efficacité de ces protocoles d'habituation dans la réduction du stress, en mesurant l'évolution des taux plasmatiques de corticostérone tout au long de notre étude. Nous avons noté que les souris s'étaient rapidement adaptées à la course sur la roue et que les signes visibles de stress (luttes, vocalisations et urination) étaient nettement réduits suite à deux sessions d'habituation. Néanmoins, les taux de corticostérone n'ont pas été significativement réduits chez les souris habituées, par rapport aux souris naïves qui ont été retenues sur la roue sans entraînement préalable (p> 0,05). Ce projet met en évidence la nécessité d'une mesure quantitative du stress, car une réduction des comportements observables tels que l'agitation ou la lutte peut être indicative non pas d'un niveau de stress plus faible, mais plutôt d'un désespoir comportemental. Des recherches supplémentaires sont nécessaires pour déterminer si la fixation de la tête lors de l'imagerie optique chez la souris peut être obtenue avec des niveaux de stress plus faibles, et si le stress induit par la contrainte effectuée avec notre dispositif est associé à des changements de la réponse hémodynamique.Whilst the brain only constitutes 2% of total body weight in humans, it exhibits the highest metabolic activity in the body, and as such is a highly vascularized organ. In fact, regional blood supply within the brain is strictly modulated through a fundamental process termed neurovascular coupling (NVC), which couples local metabolic needs with cerebral blood flow [1, 2]. A wide array of optical imaging studies in rodents has enhanced our understanding of NVC under physiological and pathological conditions. Nevertheless, these studies have been performed either under anesthesia, or in the awake mouse using restraint to prevent head-motion during image acquisition. Both anesthetics and restraint-induced stress have been clearly shown to alter cerebral hemodynamics, thereby potentially interfering with the obtained results [3, 4]. Hence, it is essential to control for these factors during future research which investigates the neurovascular response. In the present study, we have developed a new apparatus for awake optical imaging, where the mouse is head-restraint whilst allowed to walk, run or rest on an inclined wheel. In addition, we have tested several habituation protocols, according to which the mouse was gradually trained to tolerate head-restraint, in order to minimize the stress experienced during imaging sessions. Lastly, we have, for the first time, sought to validate the efficiency of these habituation protocols in reducing stress, by measuring the evolution of plasma corticosterone levels throughout the study. We noted that the mice had quickly adapted to running on the wheel, and that the overt signs of stress (struggling, vocalizations and urination) were clearly reduced within two habituation sessions. Nevertheless, corticosterone levels were not significantly reduced in habituated mice, relative to naïve mice that were restrained on the wheel without prior training (p > 0.05). This project highlights the necessity for a quantitative measure of stress, as a reduction in observable behaviors such as agitation or struggling may be indicative not of lower stress, but rather, of behavioral despair. Further research is needed to determine whether head-fixation during optical imaging in mice can be achieved with lower stress levels, and if restraint-induced stress using our apparatus is associated with changes in the hemodynamic response

Ultrasensitive dopamine detection with graphene aptasensor multitransistor arrays

Detecting physiological levels of neurotransmitters in biological samples can advance our understanding of brain disorders and lead to improved diagnostics and therapeutics. However, neurotransmitter sensors for real-world applications must reliably detect low concentrations of target analytes from small volume working samples. Herein, a platform for robust and ultrasensitive detection of dopamine, an essential neurotransmitter that underlies several brain disorders, based on graphene multitransistor arrays (gMTAs) functionalized with a selective DNA aptamer is presented. High-yield scalable methodologies optimized at the wafer level were employed to integrate multiple graphene transistors on small-size chips (4.5 × 4.5 mm). The multiple sensor array configuration permits independent and simultaneous replicate measurements of the same sample that produce robust average data, reducing sources of measurement variability. This procedure allowed sensitive and reproducible dopamine detection in ultra-low concentrations from small volume samples across physiological buffers and high ionic strength complex biological samples. The obtained limit-of-detection was 1 aM (10-18) with dynamic detection ranges spanning 10 orders of magnitude up to 100 µM (10-8), and a 22 mV/decade peak sensitivity in artificial cerebral spinal fluid. Dopamine detection in dopamine-depleted brain homogenates spiked with dopamine was also possible with a LOD of 1 aM, overcoming sensitivity losses typically observed in ion-sensitive sensors in complex biological samples. Furthermore, we show that our gMTAs platform can detect minimal changes in dopamine concentrations in small working volume samples (2 µL) of cerebral spinal fluid samples obtained from a mouse model of Parkinson's Disease. The platform presented in this work can lead the way to graphene-based neurotransmitter sensors suitable for real-world academic and pre-clinical pharmaceutical research as well as clinical diagnosis.This work was funded by: "la Caixa" Banking Foundation under grant agree ment LCF/PR/HR21-00410; national funds, through the Foundation for Science and Technology (FCT)—projects UIDB/50026/2020, UIDP/50026/2020, and UIDB/04650/2020; by FCT project PTDC/MED-NEU/28073/2017 (POCI-01-307 0145-FEDER-028073); by The Branco Weiss fellowship—Society in Science (ETH Zurich); and by FCT Ph.D. fellowships SFRH/BD/14536/2022 (M.A.), SFRH/BD/08181/2020 (T.D.), and PD/BD/127823/2016 (D.R.)

Roadmap on semiconductor-cell biointerfaces.

This roadmap outlines the role semiconductor-based materials play in understanding the complex biophysical dynamics at multiple length scales, as well as the design and implementation of next-generation electronic, optoelectronic, and mechanical devices for biointerfaces. The roadmap emphasizes the advantages of semiconductor building blocks in interfacing, monitoring, and manipulating the activity of biological components, and discusses the possibility of using active semiconductor-cell interfaces for discovering new signaling processes in the biological world

Correlational analysis for identifying genes whose regulation contributes to chronic neuropathic pain

<p>Abstract</p> <p>Background</p> <p>Nerve injury-triggered hyperexcitability in primary sensory neurons is considered a major source of chronic neuropathic pain. The hyperexcitability, in turn, is thought to be related to transcriptional switching in afferent cell somata. Analysis using expression microarrays has revealed that many genes are regulated in the dorsal root ganglion (DRG) following axotomy. But which contribute to pain phenotype versus other nerve injury-evoked processes such as nerve regeneration? Using the L5 spinal nerve ligation model of neuropathy we examined <b><it>differential </it></b>changes in gene expression in the L5 (and L4) DRGs in five mouse strains with contrasting susceptibility to neuropathic pain. We sought genes for which the degree of regulation correlates with strain-specific pain phenotype.</p> <p>Results</p> <p>In an initial experiment six candidate genes previously identified as important in pain physiology were selected for in situ hybridization to DRG sections. Among these, regulation of the Na⁺channel α subunit <it>Scn11a </it>correlated with levels of spontaneous pain behavior, and regulation of the cool receptor <it>Trpm8 </it>correlated with heat hypersensibility. In a larger scale experiment, mRNA extracted from individual mouse DRGs was processed on Affymetrix whole-genome expression microarrays. Overall, 2552 ± 477 transcripts were significantly regulated in the axotomized L5DRG 3 days postoperatively. However, in only a small fraction of these was the degree of regulation correlated with pain behavior across strains. Very few genes in the "uninjured" L4DRG showed altered expression (24 ± 28).</p> <p>Conclusion</p> <p>Correlational analysis based on in situ hybridization provided evidence that differential regulation of <it>Scn11a </it>and <it>Trpm8 </it>contributes to across-strain variability in pain phenotype. This does not, of course, constitute evidence that the others are unrelated to pain. Correlational analysis based on microarray data yielded a larger "look-up table" of genes whose regulation likely contributes to pain variability. While this list is enriched in genes of potential importance for pain physiology, and is relatively free of the bias inherent in the candidate gene approach, additional steps are required to clarify which transcripts on the list are in fact of functional importance.</p

White Paper 5: Brain, Mind & Behaviour

© CSICThe study of the brain will tell us what makes us humans and how our social behavior generates. Increasing our understanding of how the brain functions and interacts with the ecosystem to interpret the world will not only help to find effective means to treat and/or cure neurological and psychiatric disorders but will also change our vision on questions pertaining to philosophy and humanities and transform other fields such as economy and law. Neurosciences research at the CSIC is already valuable and should be intensified mainly focused on the eight major challenges described in this volume

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

Neurotransmitter receptors support the propagation of signals in the human brain. How receptor systems are situated within macro-scale neuroanatomy and how they shape emergent function remain poorly understood, and there exists no comprehensive atlas of receptors. Here we collate positron emission tomography data from more than 1,200 healthy individuals to construct a whole-brain three-dimensional normative atlas of 19 receptors and transporters across nine different neurotransmitter systems. We found that receptor profiles align with structural connectivity and mediate function, including neurophysiological oscillatory dynamics and resting-state hemodynamic functional connectivity. Using the Neurosynth cognitive atlas, we uncovered a topographic gradient of overlapping receptor distributions that separates extrinsic and intrinsic psychological processes. Finally, we found both expected and novel associations between receptor distributions and cortical abnormality patterns across 13 disorders. We replicated all findings in an independently collected autoradiography dataset. This work demonstrates how chemoarchitecture shapes brain structure and function, providing a new direction for studying multi-scale brain organization