scholarly journals Corticospinal neurons encode complex motor signals that are broadcast to dichotomous striatal circuits

2020 ◽  
Author(s):  
Anders Nelson ◽  
Brenda Abdelmesih ◽  
Rui M Costa
Keyword(s):  
Spinal Cord ◽  
Activity Patterns ◽  
Brain Regions ◽  
Projection Neurons ◽  
Sequence Information ◽  
List Type ◽  
Motor Sequence ◽  
Axon Collaterals ◽  
Main Input ◽  
High Level

SummarySensorimotor cortex controls movement in part through direct projections to the spinal cord. Here we show that these corticospinal neurons (CSNs) possess axon collaterals that innervate many supraspinal brain regions critical for motor control, most prominently the main input to the basal ganglia, the striatum. Corticospinal neurons that innervate the striatum form more synapses on D1-than D2-striatal projection neurons (SPNs). This biased innervation strategy corresponds to functionally distinct patterns of termination in spinal cord. CSNs are strongly driven during a striatum-dependent sequential forelimb behavior, and often represent high level movement features that are not linearly related to kinematic output. Copies of these activity patterns are relayed in a balanced fashion to both D1 and D2 projection pathways. These results reveal a circuit logic by which motor cortex corticospinal neurons relay both kinematic-related and unrelated signals to distinct striatal and spinal cord pathways, where postsynaptic connectivity ultimately dictates motor specificity.HighlightsCorticospinal neurons send axon collaterals most abundantly to the striatumBiases in striatal innervation correspond to biases in spinal innervationCSNs represent complex movement sequence informationCorollary motor sequence signals are relayed to both striatal projection pathwayseTOC BlurbNelson, A. et al. detail the organization of corticospinal neurons and their coordinated cell type-specific targets in the dorsolateral striatum and spinal cord. Corticospinal neurons encode both kinematic-related and unrelated signals during motor sequences, and relay this information in a balanced fashion to dichotomous striatal pathways.

scholarly journals FFA and OFA encode distinct types of face identity information

2020 ◽  
Author(s):  
Maria Tsantani ◽  
Nikolaus Kriegeskorte ◽  
Katherine Storrs ◽  
Adrian Lloyd Williams ◽  
Carolyn McGettigan ◽  
...  
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Brain Regions ◽  
Image Encoding ◽  
Low Level ◽  
Social Traits ◽  
Face Area ◽  
Face Similarity ◽  
And Gender ◽  
High Level

AbstractFaces of different people elicit distinct functional MRI (fMRI) patterns in several face-selective brain regions. Here we used representational similarity analysis to investigate what type of identity-distinguishing information is encoded in three face-selective regions: fusiform face area (FFA), occipital face area (OFA), and posterior superior temporal sulcus (pSTS). We used fMRI to measure brain activity patterns elicited by naturalistic videos of famous face identities, and compared their representational distances in each region with models of the differences between identities. Models included low-level to high-level image-computable properties and complex human-rated properties. We found that the FFA representation reflected perceived face similarity, social traits, and gender, and was well accounted for by the OpenFace model (deep neural network, trained to cluster faces by identity). The OFA encoded low-level image-based properties (pixel-wise and Gabor-jet dissimilarities). Our results suggest that, although FFA and OFA can both discriminate between identities, the FFA representation is further removed from the image, encoding higher-level perceptual and social face information.

scholarly journals Local axon collaterals of lamina I projection neurons in the spinal cord of young rats

2010 ◽  
Vol 518 (14) ◽  
pp. spc1-spc1 ◽  
Author(s):  
Peter Szucs ◽  
Liliana L. Luz ◽  
Deolinda Lima ◽  
Boris V. Safronov
Keyword(s):  
Spinal Cord ◽  
Projection Neurons ◽  
Lamina I ◽  
Young Rats ◽  
Axon Collaterals

Local axon collaterals of lamina I projection neurons in the spinal cord of young rat

2010 ◽  
pp. NA-NA ◽  
Author(s):  
Peter Szucs ◽  
Liliana L. Luz ◽  
Deolinda Lima ◽  
Boris V. Safronov
Keyword(s):  
Spinal Cord ◽  
Projection Neurons ◽  
Lamina I ◽  
Axon Collaterals ◽  
Young Rat

scholarly journals Complete connectomic reconstruction of olfactory projection neurons in the fly brain

2020 ◽  
Author(s):  
A.S. Bates ◽  
P. Schlegel ◽  
R.J.V. Roberts ◽  
N. Drummond ◽  
I.F.M. Tamimi ◽  
...  
Keyword(s):  
Motor Neurons ◽  
Olfactory System ◽  
Neuronal Cell ◽  
Building Blocks ◽  
Cell Types ◽  
Projection Neuron ◽  
Brain Regions ◽  
Projection Neurons ◽  
List Type ◽  
Lateral Horn

AbstractNervous systems contain sensory neurons, local neurons, projection neurons and motor neurons. To understand how these building blocks form whole circuits, we must distil these broad classes into neuronal cell types and describe their network connectivity. Using an electron micrograph dataset for an entire Drosophila melanogaster brain, we reconstruct the first complete inventory of olfactory projections connecting the antennal lobe, the insect analogue of the mammalian olfactory bulb, to higher-order brain regions in an adult animal brain. We then connect this inventory to extant data in the literature, providing synaptic-resolution ‘holotypes’ both for heavily investigated and previously unknown cell types. Projection neurons are approximately twice as numerous as reported by light level studies; cell types are stereotyped, but not identical, in cell and synapse numbers between brain hemispheres. The lateral horn, the insect analogue of the mammalian cortical amygdala, is the main target for this olfactory information and has been shown to guide innate behaviour. Here, we find new connectivity motifs, including: axo-axonic connectivity between projection neurons; feedback and lateral inhibition of these axons by local neurons; and the convergence of different inputs, including non-olfactory inputs and memory-related feedback onto lateral horn neurons. This differs from the configuration of the second most prominent target for olfactory projection neurons: the mushroom body calyx, the insect analogue of the mammalian piriform cortex and a centre for associative memory. Our work provides a complete neuroanatomical platform for future studies of the adult Drosophila olfactory system.HighlightsFirst complete parts list for second-order neurons of an adult olfactory systemQuantification of left-right stereotypy in cell and synapse numberAxo-axonic connections form hierarchical communities in the lateral hornLocal neurons and memory-related feedback target projection neuron axons

scholarly journals High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music

2022 ◽  
pp. 1-16
Author(s):  
Jamal A. Williams ◽  
Elizabeth H. Margulis ◽  
Samuel A. Nastase ◽  
Janice Chen ◽  
Uri Hasson ◽  
...  
Keyword(s):  
Auditory Cortex ◽  
Brain Activity ◽  
Activity Patterns ◽  
Brain Regions ◽  
Event Structure ◽  
Higher Order ◽  
Angular Gyrus ◽  
Default Mode ◽  
Medial Pfc ◽  
High Level

Abstract Recent fMRI studies of event segmentation have found that default mode regions represent high-level event structure during movie watching. In these regions, neural patterns are relatively stable during events and shift at event boundaries. Music, like narratives, contains hierarchical event structure (e.g., sections are composed of phrases). Here, we tested the hypothesis that brain activity patterns in default mode regions reflect the high-level event structure of music. We used fMRI to record brain activity from 25 participants (male and female) as they listened to a continuous playlist of 16 musical excerpts and additionally collected annotations for these excerpts by asking a separate group of participants to mark when meaningful changes occurred in each one. We then identified temporal boundaries between stable patterns of brain activity using a hidden Markov model and compared the location of the model boundaries to the location of the human annotations. We identified multiple brain regions with significant matches to the observer-identified boundaries, including auditory cortex, medial pFC, parietal cortex, and angular gyrus. From these results, we conclude that both higher-order and sensory areas contain information relating to the high-level event structure of music. Moreover, the higher-order areas in this study overlap with areas found in previous studies of event perception in movies and audio narratives, including regions in the default mode network.

Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia

2021 ◽  
pp. 1-14
Author(s):  
Debo Dong ◽  
Dezhong Yao ◽  
Yulin Wang ◽  
Seok-Jun Hong ◽  
Sarah Genon ◽  
...  
Keyword(s):  
Sensory Information ◽  
Resting State Fmri ◽  
Brain Regions ◽  
High Order ◽  
Hierarchical Organization ◽  
System Level ◽  
Integrative System ◽  
Sensorimotor Region ◽  
Cortical Hierarchy ◽  
High Level

Abstract Background Schizophrenia has been primarily conceptualized as a disorder of high-order cognitive functions with deficits in executive brain regions. Yet due to the increasing reports of early sensory processing deficit, recent models focus more on the developmental effects of impaired sensory process on high-order functions. The present study examined whether this pathological interaction relates to an overarching system-level imbalance, specifically a disruption in macroscale hierarchy affecting integration and segregation of unimodal and transmodal networks. Methods We applied a novel combination of connectome gradient and stepwise connectivity analysis to resting-state fMRI to characterize the sensorimotor-to-transmodal cortical hierarchy organization (96 patients v. 122 controls). Results We demonstrated compression of the cortical hierarchy organization in schizophrenia, with a prominent compression from the sensorimotor region and a less prominent compression from the frontal−parietal region, resulting in a diminished separation between sensory and fronto-parietal cognitive systems. Further analyses suggested reduced differentiation related to atypical functional connectome transition from unimodal to transmodal brain areas. Specifically, we found hypo-connectivity within unimodal regions and hyper-connectivity between unimodal regions and fronto-parietal and ventral attention regions along the classical sensation-to-cognition continuum (voxel-level corrected, p < 0.05). Conclusions The compression of cortical hierarchy organization represents a novel and integrative system-level substrate underlying the pathological interaction of early sensory and cognitive function in schizophrenia. This abnormal cortical hierarchy organization suggests cascading impairments from the disruption of the somatosensory−motor system and inefficient integration of bottom-up sensory information with attentional demands and executive control processes partially account for high-level cognitive deficits characteristic of schizophrenia.

scholarly journals Gesture commands for controlling high-level UAV behavior

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
John Akagi ◽  
T. Devon Morris ◽  
Brady Moon ◽  
Xingguang Chen ◽  
Cameron K. Peterson
Keyword(s):  
Search Algorithm ◽  
Dynamic Environment ◽  
List Type ◽  
Hardware In The Loop ◽  
Monte Carlo Tree Search ◽  
Natural Interface ◽  
Constrained Environments ◽  
Novel Variant ◽  
High Level ◽  
Tree Search Algorithm

Abstract Directing groups of unmanned air vehicles (UAVs) is a task that typically requires the full attention of several operators. This can be prohibitive in situations where an operator must pay attention to their surroundings. In this paper we present a gesture device that assists operators in commanding UAVs in focus-constrained environments. The operator influences the UAVs’ behavior by using intuitive hand gesture movements. Gestures are captured using an accelerometer and gyroscope and then classified using a logistic regression model. Ten gestures were chosen to provide behaviors for a group of fixed-wing UAVs. These behaviors specified various searching, following, and tracking patterns that could be used in a dynamic environment. A novel variant of the Monte Carlo Tree Search algorithm was developed to autonomously plan the paths of the cooperating UAVs. These autonomy algorithms were executed when their corresponding gesture was recognized by the gesture device. The gesture device was trained to classify the ten gestures and accurately identified them 95% of the time. Each of the behaviors associated with the gestures was tested in hardware-in-the-loop simulations and the ability to dynamically switch between them was demonstrated. The results show that the system can be used as a natural interface to assist an operator in directing a fleet of UAVs. Article highlights A gesture device was created that enables operators to command a group of UAVs in focus-constrained environments. Each gesture triggers high-level commands that direct a UAV group to execute complex behaviors. Software simulations and hardware-in-the-loop testing shows the device is effective in directing UAV groups.

scholarly journals Comparison of Activation in the Prefrontal Cortex of Native Speakers of Mandarin by Ability of Japanese as a Second Language Using a Novel Speaking Task

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 412
Author(s):  
Li Cong ◽  
Hideki Miyaguchi ◽  
Chinami Ishizuki
Keyword(s):  
Second Language ◽  
Prefrontal Cortex ◽  
Cognitive Load ◽  
Near Infrared ◽  
Native Speakers ◽  
Brain Activation ◽  
Brain Regions ◽  
Strong Inhibition ◽  
Functional Near Infrared Spectroscopy ◽  
High Level

Evidence shows that second language (L2) learning affects cognitive function. Here in this work, we compared brain activation in native speakers of Mandarin (L1) who speak Japanese (L2) between and within two groups (high and low L2 ability) to determine the effect of L2 ability in L1 and L2 speaking tasks, and to map brain regions involved in both tasks. The brain activation during task performance was determined using prefrontal cortex blood flow as a proxy, measured by functional near-infrared spectroscopy (fNIRS). People with low L2 ability showed much more brain activation when speaking L2 than when speaking L1. People with high L2 ability showed high-level brain activation when speaking either L2 or L1. Almost the same high-level brain activation was observed in both ability groups when speaking L2. The high level of activation in people with high L2 ability when speaking either L2 or L1 suggested strong inhibition of the non-spoken language. A wider area of brain activation in people with low compared with high L2 ability when speaking L2 is considered to be attributed to the cognitive load involved in code-switching L1 to L2 with strong inhibition of L1 and the cognitive load involved in using L2.

scholarly journals Spine impairment in mice high-expressing neuregulin 1 due to LIMK1 activation

2021 ◽  
Vol 12 (4) ◽  
Author(s):  
Peng Chen ◽  
Hongyang Jing ◽  
Mingtao Xiong ◽  
Qian Zhang ◽  
Dong Lin ◽  
...  
Keyword(s):  
Neural Development ◽  
Protein Level ◽  
Brain Regions ◽  
Postmortem Brain ◽  
Pathophysiological Mechanism ◽  
Brain Disorders ◽  
Spine Density ◽  
Genes Encoding ◽  
High Level ◽  
And Function

AbstractThe genes encoding for neuregulin1 (NRG1), a growth factor, and its receptor ErbB4 are both risk factors of major depression disorder and schizophrenia (SZ). They have been implicated in neural development and synaptic plasticity. However, exactly how NRG1 variations lead to SZ remains unclear. Indeed, NRG1 levels are increased in postmortem brain tissues of patients with brain disorders. Here, we studied the effects of high-level NRG1 on dendritic spine development and function. We showed that spine density in the prefrontal cortex and hippocampus was reduced in mice (ctoNrg1) that overexpressed NRG1 in neurons. The frequency of miniature excitatory postsynaptic currents (mEPSCs) was reduced in both brain regions of ctoNrg1 mice. High expression of NRG1 activated LIMK1 and increased cofilin phosphorylation in postsynaptic densities. Spine reduction was attenuated by inhibiting LIMK1 or blocking the NRG1–LIMK1 interaction, or by restoring NRG1 protein level. These results indicate that a normal NRG1 protein level is necessary for spine homeostasis and suggest a pathophysiological mechanism of abnormal spines in relevant brain disorders.

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