scholarly journals Organization and neural connections of the lateral complex in the brain of the desert locust

2021 ◽  
Author(s):  
Ronja Hensgen ◽  
Jonas Göthe ◽  
Stefanie Jahn ◽  
Sophie Hümmert ◽  
Kim Lucia Schneider ◽  
...  
Keyword(s):  
Desert Locust ◽  
Neural Connections ◽  
The Brain

scholarly journals Understanding Quantitative Circadian Regulations Are Crucial Towards Advancing Chronotherapy

Cells ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 883 ◽  
Author(s):  
Debajyoti Chowdhury ◽  
Chao Wang ◽  
Ai-Ping Lu ◽  
Hai-Long Zhu
Keyword(s):  
Circadian Rhythms ◽  
Molecular Mechanisms ◽  
Temporal Stability ◽  
Biological Rhythms ◽  
Integrative Approach ◽  
Peripheral Tissues ◽  
Innovative Strategies ◽  
Neural Connections ◽  
Core Components ◽  
The Brain

Circadian rhythms have a deep impact on most aspects of physiology. In most organisms, especially mammals, the biological rhythms are maintained by the indigenous circadian clockwork around geophysical time (~24-h). These rhythms originate inside cells. Several core components are interconnected through transcriptional/translational feedback loops to generate molecular oscillations. They are tightly controlled over time. Also, they exert temporal controls over many fundamental physiological activities. This helps in coordinating the body’s internal time with the external environments. The mammalian circadian clockwork is composed of a hierarchy of oscillators, which play roles at molecular, cellular, and higher levels. The master oscillation has been found to be developed at the hypothalamic suprachiasmatic nucleus in the brain. It acts as the core pacemaker and drives the transmission of the oscillation signals. These signals are distributed across different peripheral tissues through humoral and neural connections. The synchronization among the master oscillator and tissue-specific oscillators offer overall temporal stability to mammals. Recent technological advancements help us to study the circadian rhythms at dynamic scale and systems level. Here, we outline the current understanding of circadian clockwork in terms of molecular mechanisms and interdisciplinary concepts. We have also focused on the importance of the integrative approach to decode several crucial intricacies. This review indicates the emergence of such a comprehensive approach. It will essentially accelerate the circadian research with more innovative strategies, such as developing evidence-based chronotherapeutics to restore de-synchronized circadian rhythms.

Quantifying the Accuracy of a Motion Detecting Neural Prosthesis

2020 ◽  
Author(s):  
Martin L. Tanaka ◽  
Premkumar Subbukutti ◽  
David Hudson ◽  
Kimberly Hudson ◽  
Pablo Valenzuela ◽  
...  
Keyword(s):  
Motion Capture ◽  
Gait Cycle ◽  
Neural Prosthesis ◽  
Average Error ◽  
Camera Motion ◽  
Motion Capture System ◽  
General Shape ◽  
Neural Connections ◽  
Measurement Units ◽  
The Brain

Abstract The neural prosthesis under development is designed to improve gait in people with muscle weakness. The strategy is to augment impaired or damaged neural connections between the brain and the muscles that control walking. This third-generation neural prosthesis contains triaxial inertial measurement units (IMUs - accelerometers, gyroscopes, and processing chip) to measure body segment position and force sensitive resistors placed under the feet to detect ground contact. A study was conducted to compare the accuracy of the neural prosthesis using a traditional camera motion capture system as a reference. The IMUs were found to accurately represent the amplitude of the gait cycle components and generally track the motion. However, there are some differences in phase, with the IMUs lagging the actual motion. Phase lagged by about 10 degrees in the ankle and by about 5 degrees in the knee. Error of the neural prosthesis varied over the gait cycle. The average error for the ankle, knee and hip were 6°, 8°, and 9°, respectively. Testing showed that the neural prosthesis was able to capture the general shape of the joint angle curves when compared to a commercial camera motion capture system. In the future, measures will be taken to reduce lag in the gyroscope and reduce jitter in the accelerometer so that data from both sensors can be combination to obtain more accurate readings.

scholarly journals The emotional brainbow

2019 ◽  
Vol 10 (3) ◽  
pp. e117-118
Author(s):  
Luckshi Rajendran
Keyword(s):  
Interpersonal Relationships ◽  
Health Care Professionals ◽  
Clinical Training ◽  
Medical Training ◽  
Fluorescent Proteins ◽  
First Year ◽  
Evidence Based ◽  
Neural Connections ◽  
Axonal Connections ◽  
The Brain

It was early in my first year of medical school that I learned about the “brainbow” - an innovative means of using genetic expression of various fluorescent proteins to colourfully label individual neurons, allowing for the visualization of neural networks within the brain. I was fascinated by the beautiful complexity of these axonal interconnections. In reflection, I drew parallels to my journey through medicine, and the intricacies of navigating human interpersonal relationships. Medical practice includes both the soft and the hard sciences. Academic institutions teach us the hard sciences: the pathophysiology of disease, and the evidence-based practice for diagnosis and management. Over the years of my clinical training, I am learning that much of the soft science of medicine is in the human connection. It is in our ongoing practice of communication and interpersonal skills, and the subsequent relationships that we develop (or sometimes, lose) with our friends, partners, and colleagues, as we face the miracles and the hardships throughout our medical training. It is in our patient interactions: the emotions we share, the empathy we convey, and the rapport that we build in order to provide compassionate patient care. Much like the brain’s neural network, these connections are complex and ever-changing - some connections are strengthened, and others are unfortunately, and perhaps painfully, pruned. My piece “The emotional brainbow” uses fine multicolours of sewn thread to reflect the intricate axonal connections of brain centres involved in processing and expressing emotions: the cortex, the limbic system, the brainstem, and the cerebellum. These crucial structures communicate to facilitate our ability to understand and empathize with others, and contributes towards our continually developing practice of manoeuvering interpersonal relationships. There is a complex, overlapping interplay of these neural connections within the emotion-regulating brain centres, much like the beautifully intricate emotional human connections, which we, as health care professionals, both create and navigate.

scholarly journals Compressibility of High-Density EEG Signals in Stroke Patients

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4107 ◽  
Author(s):  
Nadia Mammone ◽  
Simona De Salvo ◽  
Cosimo Ieracitano ◽  
Silvia Marino ◽  
Emanuele Cartella ◽  
...  
Keyword(s):  
Electrical Activity ◽  
Bayesian Learning ◽  
Similarity Index ◽  
Structural Similarity ◽  
High Density ◽  
Critical Event ◽  
Compression Rate ◽  
Eeg Signals ◽  
Neural Connections ◽  
The Brain

Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between neurons and the macroscopic effects of such currents can be detected at the scalp through electroencephalographic (EEG) sensors. EEG can be used to study the lesions in the brain indirectly, by studying their effects on the brain electrical activity. The primary goal of the present work was to investigate possible asymmetries in the activity of the two hemispheres, in the case one of them is affected by a lesion due to stroke. In particular, the compressibility of High-Density-EEG (HD-EEG) recorded at the two hemispheres was investigated since the presence of the lesion is expected to impact on the regularity of EEG signals. The secondary objective was to evaluate if standard low density EEG is able to provide such information. Eighteen patients with unilateral stroke were recruited and underwent HD-EEG recording. Each EEG signal was compressively sensed, using Block Sparse Bayesian Learning, at increasing compression rate. The two hemispheres showed significant differences in the compressibility of EEG. Signals acquired at the electrode locations of the affected hemisphere showed a better reconstruction quality, quantified by the Structural SIMilarity index (SSIM), than the EEG signals recorded at the healthy hemisphere (p < 0.05), for each compression rate value. The presence of the lesion seems to induce an increased regularity in the electrical activity of the brain, thus an increased compressibility.

Standardized atlas of the brain of the desert locust, Schistocerca gregaria

2008 ◽  
Vol 333 (1) ◽  
pp. 125-145 ◽  
Author(s):  
Angela E. Kurylas ◽  
Torsten Rohlfing ◽  
Sabine Krofczik ◽  
Arnim Jenett ◽  
Uwe Homberg
Keyword(s):  
Schistocerca Gregaria ◽  
Desert Locust ◽  
The Brain

Encapsulating architecture and encapsulating processes

2002 ◽  
Vol 25 (6) ◽  
pp. 759-759
Author(s):  
Patrick Juola
Keyword(s):  
Learning Environment ◽  
Developmental Disorders ◽  
Dynamic Learning ◽  
Neural Connections ◽  
The Brain

Thomas & Karmiloff-Smith (T&K-S) raise the excellent and, in retrospect, obvious point that in a dynamic learning environment where feedback is possible, we should expect networks to adapt to damage by altering details of their behavior. We should therefore not expect that developmental disorders should result in “normal” modules. The implications of this point go much further, since interprocess dependency in the brain does not rely only on learned neural connections. This argues strongly against behavioral and process-related definitions, as opposed to structural and architecture-related definitions, of mental modularity.

Music, Maestro, Please: Thalamic multisensory integration in music perception, processing and production

2019 ◽  
Vol 11 (2) ◽  
pp. 98
Author(s):  
Artur Jaschke
Keyword(s):  
Multisensory Integration ◽  
Music Perception ◽  
Initial Point ◽  
Initial Step ◽  
Brain Regions ◽  
Thalamic Nuclei ◽  
Brain Areas ◽  
Neural Connections ◽  
Parietal Lobes ◽  
The Brain

Music activates a wide array of brain areas involved in different functions such as   perception, processing and execution of music. Understanding musical processes in the brain has multiple implications in the neuro- and health sciences.  Challenging the brain with a multisensory stimulus such as music activates responses beyond the auditory cortex of the temporal lobe. Other areas that are involved include the frontal lobes, parietal lobes, areas of the limbic system such as the amygdala, hippocampus and thalamus, the cerebellum and the brainstem. Nonetheless, there has been no attempt to summarize all involved brain areas in music into one overall encompassing map. This may well be, as there has been no thorough theory introduced, which would allow an initial point of departure in creating such a mapTherefore, a thorough systematic review has been conducted to identify all mentioned neural connections involved in the perception, processing and execution of music.  Communication between the thalamic nuclei is the initial step in multisensory integration, which lies at the base of the neural networks as proposed in this paper. Against this background, this manuscript introduces the to our knowledge first map of all brain regions involved in the perception, processing and execution of music.Consequently, placing thalamic multisensory integration at the core of this atlas allowed us to create a preliminary theory to explain the complexity of music induced brain activation.

scholarly journals The Physiological Control of Eating: Signals, Neurons, and Networks

2021 ◽  
Author(s):  
Alan G. Watts ◽  
Scott E Kanoski ◽  
Graciela Sanchez-Watts ◽  
Wolfgang Langhans
Keyword(s):  
Energy Homeostasis ◽  
Eating Behaviors ◽  
Network Models ◽  
Physiological Signals ◽  
Major Theme ◽  
Physiological Control ◽  
Neural Connections ◽  
Balanced Assessment ◽  
Neuronal Connections ◽  
The Brain

During the past 30 years, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable level of cell-specificity-particularly at the cell signaling level-and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections; a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain, that are defined by specific neural connections. We begin by discussing some fundamental concepts-including ones that still engender vigorous debate-that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include: key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.

scholarly journals Sparsely Wiring Connectivity in the Upper Beta Band Characterizes the Brains of Top Swimming Athletes

2021 ◽  
Vol 12 ◽  
Author(s):  
Xinzhen Pei ◽  
Xiaoying Qi ◽  
Yuzhou Jiang ◽  
Xunzhang Shen ◽  
An-Li Wang ◽  
...  
Keyword(s):  
Reaction Time ◽  
Frequency Band ◽  
Brain Connectivity ◽  
Phase Lag ◽  
Complex Reaction ◽  
Beta Band ◽  
Neural Connections ◽  
The Difference ◽  
The Brain

Human brains are extremely energy costly in neural connections and activities. However, it is unknown what is the difference in the brain connectivity between top athletes with long-term professional trainings and age-matched controls. Here we ask whether long-term training can lower brain-wiring cost while have better performance. Since elite swimming requires athletes to move their arms and legs at different tempos in time with high coordination skills, we selected an eye-hand-foot complex reaction (CR) task to examine the relations between the task performance and the brain connections and activities, as well as to explore the energy cost-efficiency of top athletes. Twenty-one master-level professional swimmers and 23 age-matched non-professional swimmers as controls were recruited to perform the CR task with concurrent 8-channel EEG recordings. Reaction time and accuracy of the CR task were recorded. Topological network analysis of various frequency bands was performed using the phase lag index (PLI) technique to avoid volume conduction effects. The wiring number of connections and mean frequency were calculated to reflect the wiring and activity cost, respectively. Results showed that professional athletes demonstrated better eye-hand-foot coordination than controls when performing the CR task, indexing by faster reaction time and higher accuracy. Comparing to controls, athletes' brain demonstrated significantly less connections and weaker correlations in upper beta frequency band between the frontal and parietal regions, while demonstrated stronger connectivity in the low theta frequency band between sites of F3 and Cz/C4. Additionally, athletes showed highly stable and low eye-blinking rates across different reaction performance, while controls had high blinking frequency with high variance. Elite athletes' brain may be characterized with energy efficient sparsely wiring connections in support of superior motor performance and better cognitive performance in the eye-hand-foot complex reaction task.

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