Dexterous Finger Movements in Primate Without Monosynaptic Corticomotoneuronal Excitation

2004 ◽  
Vol 92 (5) ◽  
pp. 3142-3147 ◽  
Author(s):  
Shigeto Sasaki ◽  
Tadashi Isa ◽  
Lars-Gunnar Pettersson ◽  
Bror Alstermark ◽  
Kimisato Naito ◽  
...  
Keyword(s):  
Precision Grip ◽  
Field Potentials ◽  
Finger Movements ◽  
Complete Transection ◽  
Electrophysiological Recordings ◽  
Upper Cervical ◽  
Propriospinal Neurons ◽  
The Brain ◽  
Observation Period ◽  
Made In

It is generally accepted that the precision grip and independent finger movements (IFMs) in monkey and man are controlled by the direct (monosynaptic) corticomotoneuronal (CM) pathway. This view is based on previous observations that pyramidotomy causes near permanent deficits of IFMs. However, in addition to the direct CM pathway, pyramidotomy interrupts several corticofugal connections to the brain stem and upper cervical segments. Indirect (oligosynaptic) CM pathways, which are phylogenetically older, have been considered to be of little or no importance in prehension. In three adult macaque monkeys, complete transection of the direct CM pathway was made in C4/C5, which is rostral to the forelimb segments (C6–Th1). Electrophysiological recordings revealed lack of the direct lateral corticospinal tract (LCST) volley, monosynaptic extracellular field potentials in the motor nuclei, and monosynaptic CM excitation. However, a disynaptic volley, disynaptic field potentials and disynaptic CM excitation mediated via C3–C4 propriospinal neurons remained after the lesion. Thus the lesion interrupted the monosynaptic CM pathway and oligosynaptic LCST pathways mediated by interneurons in the forelimb segments. Precision grip and IFMs were observed already after 1–28 days postoperatively. Weakness in force and deficits in preshaping remained for an observation period of 3 mo. Indirect CM pathways may be important for neuro-rehabilitation.

Spinomuscular Coherence in Monkeys Performing a Precision Grip Task

2008 ◽  
Vol 99 (4) ◽  
pp. 2012-2020 ◽  
Author(s):  
Tomohiko Takei ◽  
Kazuhiko Seki
Keyword(s):  
Spinal Cord ◽  
Sensorimotor Integration ◽  
Unique Feature ◽  
Cervical Spinal Cord ◽  
Precision Grip ◽  
Muscle Physiology ◽  
Field Potentials ◽  
Spinal Interneurons ◽  
Arm Muscles ◽  
The Brain

We recorded local field potentials (LFPs) from cervical spinal cord (C5–C8) in monkeys performing a precision grip task and examined their coherence with electromyographic (EMG) activities (spinomuscular coherence) recorded from hand and arm muscles. Among 164 LFP-EMG pairs, significant coherence was found in 34 pairs (21%). We classified the coherence into two groups based on its frequency range, narrowband coherence, and broadband coherence. The narrowband coherence was restricted to discrete frequencies in the range of 14–55 Hz and was widespread throughout the superficial and deep gray matter. In contrast, the broadband coherence distributed between 10 and 95 Hz and was found only in the ventral half of the spinal cord. The narrowband coherence suggests that oscillations, which have been described in many motor control areas of the brain, could also pass though spinal interneurons to affect motor output and sensorimotor integration. On the other hand, the broadband coherence could be a unique feature of spinal motoneuron-muscle physiology.

scholarly journals Molecular Mechanisms of Drug Resistance in Glioblastoma

2021 ◽  
Vol 22 (12) ◽  
pp. 6385
Author(s):  
Maya A. Dymova ◽  
Elena V. Kuligina ◽  
Vladimir A. Richter
Keyword(s):  
Drug Resistance ◽  
Brain Tumor ◽  
Molecular Mechanisms ◽  
Primary Brain Tumor ◽  
Therapeutic Resistance ◽  
Molecular Characteristics ◽  
Blood Brain ◽  
Conventional Radiation ◽  
The Brain ◽  
Made In

Glioblastoma multiforme (GBM) is the most common and fatal primary brain tumor, is highly resistant to conventional radiation and chemotherapy, and is not amenable to effective surgical resection. The present review summarizes recent advances in our understanding of the molecular mechanisms of therapeutic resistance of GBM to already known drugs, the molecular characteristics of glioblastoma cells, and the barriers in the brain that underlie drug resistance. We also discuss the progress that has been made in the development of new targeted drugs for glioblastoma, as well as advances in drug delivery across the blood–brain barrier (BBB) and blood–brain tumor barrier (BBTB).

scholarly journals Wrist and finger motor representations embedded in the cerebral and cerebellar resting-state activation

2021 ◽  
Author(s):  
Toshiki Kusano ◽  
Hiroki Kurashige ◽  
Isao Nambu ◽  
Yoshiya Moriguchi ◽  
Takashi Hanakawa ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Body Part ◽  
Resting State Fmri ◽  
Body Parts ◽  
Finger Movements ◽  
Multiple Components ◽  
Brain Activity Pattern ◽  
Motor Representations ◽  
The Brain

AbstractSeveral functional magnetic resonance imaging (fMRI) studies have demonstrated that resting-state brain activity consists of multiple components, each corresponding to the spatial pattern of brain activity induced by performing a task. Especially in a movement task, such components have been shown to correspond to the brain activity pattern of the relevant anatomical region, meaning that the voxels of pattern that are cooperatively activated while using a body part (e.g., foot, hand, and tongue) also behave cooperatively in the resting state. However, it is unclear whether the components involved in resting-state brain activity correspond to those induced by the movement of discrete body parts. To address this issue, in the present study, we focused on wrist and finger movements in the hand, and a cross-decoding technique trained to discriminate between the multi-voxel patterns induced by wrist and finger movement was applied to the resting-state fMRI. We found that the multi-voxel pattern in resting-state brain activity corresponds to either wrist or finger movements in the motor-related areas of each hemisphere of the cerebrum and cerebellum. These results suggest that resting-state brain activity in the motor-related areas consists of the components corresponding to the elementary movements of individual body parts. Therefore, the resting-state brain activity possibly has a finer structure than considered previously.

Krešimir Krnjević (1927–2021) and GABAergic inhibition: a lifetime dedication

2021 ◽  
pp. 1-4
Author(s):  
Yehezkel Ben-Ari ◽  
Enrico Cherubini ◽  
Massimo Avoli
Keyword(s):  
Canadian Journal ◽  
Chief Editor ◽  
Aminobutyric Acid ◽  
Gabaergic Inhibition ◽  
Inhibitory Neurotransmitter ◽  
Neuroscience Research ◽  
Personal Interactions ◽  
The Brain ◽  
Made In

After over seven decades of neuroscience research, it is now well established that γ-aminobutyric acid (GABA) is the main inhibitory neurotransmitter in the brain. In this paper dedicated to Krešimir Krnjević (1927–2021), a pioneer and leader in neuroscience, we briefly highlight the fundamental contributions he made in identifying GABA as an inhibitory neurotransmitter in the brain and our personal interactions with him. Of note, between 1972 and 1978 Dr. Krnjević was a highly reputed Chief Editor of the Canadian Journal of Physiology and Pharmacology.

Abstract 306: Alamandine but not angiotensin-(1-7) produces cardiovascular effects in the Insular Cortex

Hypertension ◽  
2014 ◽  
Vol 64 (suppl_1) ◽  
Author(s):  
Fernanda R Marins ◽  
Aline C Oliveira ◽  
Fatimunnisa Qadri ◽  
Natalia Alenina ◽  
Michael Bader ◽  
...  
Keyword(s):  
Brain Region ◽  
Insular Cortex ◽  
Cardiovascular Effects ◽  
Endogenous Ligand ◽  
Renal Nerve ◽  
Renal Sympathetic Nerve Activity ◽  
Equimolar Dose ◽  
The Brain ◽  
Renal Sympathetic ◽  
Made In

In the course of experiments aimed to evaluate the immunofluorescence distribution of MrgD receptors we observed the presence of immunoreactivity for the MrgD protein in the Insular Cortex. In order to evaluate the functional significance of this finding, we investigated the cardiovascular effects produced by the endogenous ligand of MrgD, alamandine, in this brain region. Urethane (1.4g/kg) anesthetized rats were instrumented for measurement of MAP, HR and renal sympathetic nerve activity (RSNA). Unilateral microinjection of alamandine (40 pmol/100nl), Angiotensin-(1-7) (40pmol/100nl), Mas/MrgD antagonista D-Pro7-Ang-1-7 (50pmol/100nl), Mas agonist A779 (100 pmol/100nl) or vehicle (0,9% NaCl) were made in different rats (N=4-6 per group) into posterior insular cortex (+1.5mm rostral to the bregma). Microinjection of alamandine in this region produced a long-lasting (> 18 min) increase in MAP (Δ saline= -2±1 vs. alamandine= 12±2 mmHg, p< 0.05) associated to increases in HR (Δ saline= 2±2 vs. alamandine= 35±5 bpm; p< 0.05) and in the amplitude of renal nerve discharges (Δ saline = -2±1 vs. alamandine= 35±5.5 % of the baseline; p< 0.05). Strikingly, an equimolar dose of angiotensin-(1-7) did not produce any change in MAP or HR (Δ MAP=-0.5±0.3 mmHg and +2.7±1.2 bpm, respectively; p> 0.05) and only a slight increase in RSNA (Δ =7.3±3.2 %) . In keeping with this observation the effects of alamandine were not significantly influenced by A-779 (Δ MAP=+13± 2.5 mmHg, Δ HR= +26±3.6 bpm; Δ RSNA = 25± 3.4%) but completely blocked by the Mas/MrgD antagonist D-Pro7-Ang-(1-7) (Δ MAP=+0 ± 1 mmHg Δ HR= +4±2.6 bpm; Δ RSNA = 0.5± 2.2 %). Therefore, we have identified a brain region in which alamandine/MrgD receptors but not Ang-(1-7)/Mas could be involved in the modulation of cardiovascular-related neuronal activity. This observation also suggests that alamandine might possess unique effects unrelated to Ang-(1-7) in the brain.

Febrile Convulsions, by J. Gordon Millichap, M.D., M.R.C.P. New York: The Macmillan Company, 1968, 239 pp., $7.95

PEDIATRICS ◽  
1968 ◽  
Vol 42 (2) ◽  
pp. 381-382
Author(s):  
Randolph K. Byers
Keyword(s):  
New York ◽  
Relevant Literature ◽  
Febrile Seizures ◽  
Cerebral Injury ◽  
Extensive Review ◽  
Cerebral Disease ◽  
Febrile Convulsions ◽  
The Individual ◽  
The Brain ◽  
Made In

This rather modest-looking monograph deals not only with the large experiences of the author in relation to febrile seizures, but also presents an extensive review of the modern relevant literature (266 references in the bibliography). The most useful point made in the book, it seems to me, is that febrile convulsions are just that: i.e., convulsions coinciding with fever, the result of illness not directly involving the brain or its meninges. Such a seizure may be an isolated occurrence in the life of the individual, or it may recur a few times with fever; it may be the first sign of idiopathic chronic epilepsy, or it may be evidence of more or less apparent cerebral injury of a static sort; or, it may be the presenting symptom heralding progressive cerebral disease.

scholarly journals Active information maintenance in working memory by a sensory cortex

2018 ◽  
Author(s):  
Xiaoxing Zhang ◽  
Wenjun Yan ◽  
Wenliang Wang ◽  
Hongmei Fan ◽  
Ruiqing Hou ◽  
...  
Keyword(s):  
Working Memory ◽  
Piriform Cortex ◽  
Delay Period ◽  
Sensory Cortex ◽  
Critical Function ◽  
Impaired Performance ◽  
Anterior Piriform Cortex ◽  
Electrophysiological Recordings ◽  
Dual Task Paradigm ◽  
The Brain

SummaryWorking memory is a critical function of the brain to maintain and manipulate information over delay periods of seconds. Sensory areas have been implicated in working memory; however, it is debated whether the delay-period activity of sensory regions is actively maintaining information or passively reflecting top-down inputs. We hereby examined the anterior piriform cortex, an olfactory cortex, in head-fixed mice performing a series of olfactory working memory tasks. Information maintenance is necessary in these tasks, especially in a dual-task paradigm in which mice are required to perform another distracting task while actively maintaining information during the delay period. Optogenetic suppression of the piriform cortex activity during the delay period impaired performance in all the tasks.Furthermore, electrophysiological recordings revealed that the delay-period activity of the anterior piriform cortex encoded odor information with or without the distracting task.Thus, this sensory cortex is critical for active information maintenance in working memory.

scholarly journals Reward and aversion encoding in the lateral habenula for innate and learned behaviours

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Sarah Mondoloni ◽  
Manuel Mameli ◽  
Mauro Congiu
Keyword(s):  
Animal Species ◽  
Brain Structures ◽  
Individual Member ◽  
Negative Events ◽  
Lateral Habenula ◽  
Sensory Stimuli ◽  
Aversive Events ◽  
Evolutionarily Conserved ◽  
The Brain ◽  
Made In

AbstractThroughout life, individuals experience a vast array of positive and aversive events that trigger adaptive behavioural responses. These events are often unpredicted and engage actions that are likely anchored on innate behavioural programs expressed by each individual member of virtually all animal species. In a second step, environmental cues, that are initially neutral, acquire value through the association with external sensory stimuli, and become instrumental to predict upcoming positive or negative events. This process ultimately prompts learned goal-directed actions allowing the pursuit of rewarding experience or the avoidance of a danger. Both innate and learned behavioural programs are evolutionarily conserved and fundamental for survival. Among the brain structures participating in the encoding of positive/negative stimuli and contributing to innate and learned behaviours is the epithalamic lateral habenula (LHb). The LHb provides top-down control of monoaminergic systems, responds to unexpected appetitive/aversive stimuli as well as external cues that predict the upcoming rewards or punishments. Accordingly, the LHb controls a number of behaviours that are innate (originating from unpredicted stimuli), and learned (stemming from predictive cues). In this review, we will discuss the progresses that rodent’s experimental work made in identifying how LHb activity governs these vital processes, and we will provide a view on how these findings integrate within a complex circuit connectivity.

scholarly journals How multisensory neurons solve causal inference

2021 ◽  
Vol 118 (32) ◽  
pp. e2106235118
Author(s):  
Reuben Rideaux ◽  
Katherine R. Storrs ◽  
Guido Maiello ◽  
Andrew E. Welchman
Keyword(s):  
Motion Estimation ◽  
Causal Inference ◽  
Visual Motion ◽  
Temporal Area ◽  
Medial Superior Temporal ◽  
Electrophysiological Recordings ◽  
Visual Motion Cues ◽  
Integrated Or ◽  
Self Motion ◽  
The Brain

Sitting in a static railway carriage can produce illusory self-motion if the train on an adjoining track moves off. While our visual system registers motion, vestibular signals indicate that we are stationary. The brain is faced with a difficult challenge: is there a single cause of sensations (I am moving) or two causes (I am static, another train is moving)? If a single cause, integrating signals produces a more precise estimate of self-motion, but if not, one cue should be ignored. In many cases, this process of causal inference works without error, but how does the brain achieve it? Electrophysiological recordings show that the macaque medial superior temporal area contains many neurons that encode combinations of vestibular and visual motion cues. Some respond best to vestibular and visual motion in the same direction (“congruent” neurons), while others prefer opposing directions (“opposite” neurons). Congruent neurons could underlie cue integration, but the function of opposite neurons remains a puzzle. Here, we seek to explain this computational arrangement by training a neural network model to solve causal inference for motion estimation. Like biological systems, the model develops congruent and opposite units and recapitulates known behavioral and neurophysiological observations. We show that all units (both congruent and opposite) contribute to motion estimation. Importantly, however, it is the balance between their activity that distinguishes whether visual and vestibular cues should be integrated or separated. This explains the computational purpose of puzzling neural representations and shows how a relatively simple feedforward network can solve causal inference.

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