Sleep-Related Spike Bursts in HVC Are Driven by the Nucleus Interface of the Nidopallium

2007 ◽  
Vol 97 (1) ◽  
pp. 423-435 ◽  
Author(s):  
Richard H. R. Hahnloser ◽  
Michale S. Fee
Keyword(s):  
Electrical Stimulation ◽  
Basal Ganglia ◽  
Motor Activity ◽  
Activity Patterns ◽  
Projection Neurons ◽  
Related Activity ◽  
Antidromic Activation ◽  
Extracellular Recordings ◽  
Spike Bursts ◽  
Bursting Activity

The function and the origin of replay of motor activity during sleep are currently unknown. Spontaneous activity patterns in the nucleus robustus of the arcopallium (RA) and in HVC (high vocal center) of the sleeping songbird resemble premotor patterns in these areas observed during singing. We test the hypothesis that the nucleus interface of the nidopallium (NIf) has an important role for initiating and shaping these sleep-related activity patterns. In head-fixed, sleeping zebra finches we find that injections of the GABAA-agonist muscimol into NIf lead to transient abolishment of premotor-like bursting activity in HVC neurons. Using antidromic activation of NIf neurons by electrical stimulation in HVC, we are able to distinguish a class of HVC-projecting NIf neurons from a second class of NIf neurons. Paired extracellular recordings in NIf and HVC show that NIf neurons provide a strong bursting drive to HVC. In contrast to HVC neurons, whose bursting activity waxes and wanes in burst epochs, individual NIf projection neurons are nearly continuously bursting and tend to burst only once on the timescale of song syllables. Two types of HVC projection neurons—premotor and striatal projecting—respond differently to the NIf drive, in agreement with notions of HVC relaying premotor signals to RA and an anticipatory copy thereof to areas of a basal ganglia pathway.

scholarly journals State-dependent sensorimotor gating in a rhythmic motor system

2017 ◽  
Vol 118 (5) ◽  
pp. 2806-2818 ◽  
Author(s):  
Rachel S. White ◽  
Robert M. Spencer ◽  
Michael P. Nusbaum ◽  
Dawn M. Blitz
Keyword(s):  
Motor Activity ◽  
Motor System ◽  
Sensory Feedback ◽  
Activity Patterns ◽  
Motor Pattern ◽  
Projection Neuron ◽  
Projection Neurons ◽  
Gastric Mill ◽  
Sensory Regulation ◽  
Motor Circuits

Sensory feedback influences motor circuits and/or their projection neuron inputs to adjust ongoing motor activity, but its efficacy varies. Currently, less is known about regulation of sensory feedback onto projection neurons that control downstream motor circuits than about sensory regulation of the motor circuit neurons themselves. In this study, we tested whether sensory feedback onto projection neurons is sensitive only to activation of a motor system, or also to the modulatory state underlying that activation, using the crab Cancer borealis stomatogastric nervous system. We examined how proprioceptor neurons (gastropyloric receptors, GPRs) influence the gastric mill (chewing) circuit neurons and the projection neurons (MCN1, CPN2) that drive the gastric mill rhythm. During gastric mill rhythms triggered by the mechanosensory ventral cardiac neurons (VCNs), GPR was shown previously to influence gastric mill circuit neurons, but its excitation of MCN1/CPN2 was absent. In this study, we tested whether GPR effects on MCN1/CPN2 are also absent during gastric mill rhythms triggered by the peptidergic postoesophageal commissure (POC) neurons. The VCN and POC pathways both trigger lasting MCN1/CPN2 activation, but their distinct influence on circuit feedback to these neurons produces different gastric mill motor patterns. We show that GPR excites MCN1 and CPN2 during the POC-gastric mill rhythm, altering their firing rates and activity patterns. This action changes both phases of the POC-gastric mill rhythm, whereas GPR only alters one phase of the VCN-gastric mill rhythm. Thus sensory feedback to projection neurons can be gated as a function of the modulatory state of an active motor system, not simply switched on/off with the onset of motor activity. NEW & NOTEWORTHY Sensory feedback influences motor systems (i.e., motor circuits and their projection neuron inputs). However, whether regulation of sensory feedback to these projection neurons is consistent across different versions of the same motor pattern driven by the same motor system was not known. We found that gating of sensory feedback to projection neurons is determined by the modulatory state of the motor system, and not simply by whether the system is active or inactive.

Neural information transferred from the putamen to the globus pallidus during learned movement in the monkey

1996 ◽  
Vol 76 (6) ◽  
pp. 3771-3786 ◽  
Author(s):  
M. Kimura ◽  
M. Kato ◽  
H. Shimazaki ◽  
K. Watanabe ◽  
N. Matsumoto
Keyword(s):  
Globus Pallidus ◽  
Discharge Rate ◽  
Spontaneous Discharge ◽  
Projection Neurons ◽  
Motor Tasks ◽  
Related Activity ◽  
Antidromic Activation ◽  
Behavioral Tasks ◽  
Striate Neurons ◽  
Stimulation Of

1. We studied the physiology of the neuronal projection from the striatum to the external and internal segments of the globus pallidus (GPe and GPi, respectively) in macaque monkeys. The objective of the study was to answer the following specific questions. 1) Which classes of the electrophysiologically identified striate neurons project to GPe and GPi? 2) What kind of information is transferred from the striatum to GPe and GPi during learned movement? 3) What are the physiological actions of striate projection neurons on target neurons in GPe and GPi? 4) What is the spatial pattern of the striatopallidal projections? 2. Sequential arm and orofacial movements were used as behavioral tasks. Visual stimuli triggered a sequence of three flexions-extensions of the elbow joint across the target, and the click of a solenoid valve triggered repetitive licking movements. 3. Striatopallidal projection neurons were electrophysiologically identified by antidromic activation after focal stimulation of either GPe or GPi. Of two classes of striate neurons, tonically active neurons (TANs) with tonic spontaneous discharges (2–8 imp/s) and broad action potentials, and phasically active neurons (PANs) with a very low spontaneous discharge rate (< 0.5 imp/ s) and high-frequency discharges in relation to behavioral tasks, PANs were identified as the projection neurons to either GPe or GPi. In 325 TANs examined by stimulation of GPe or GPi, no neuron was activated antidromically, even in the case of TANs located in the close vicinity of PANs that were identified as striatopallidal projection neurons. 4. The physiologically identified projection neurons (52 cells) in the striatum exhibited either discharges related to movement (30 cells) or discharges related to preparation for movement (4 cells) during performance of learned motor tasks. The activities of the remaining 17 striatopallidal neurons either were not related to the behavioral tasks used or could not be characterized sufficiently in the tasks. However, all of the unidentified striatopallidal neurons were PANs, on the basis of the spontaneous discharge rate and the shape of the action potential. 5. PANs with movement-related activity and those with preparation for movement-related activity were antidromically activated from the globus pallidus (GP). Not only the PANs that show burst discharges specifically at the beginning of a sequence of movement but also PANs that show phasic discharges time-locked to each movement of a sequence were identified as putaminopallidal projection neurons. On the other hand, no neurons that showed responses to sensory stimulus were identified as putaminopallidal neurons. 6. The conduction velocities of the putaminopallidal axons were estimated at approximately 1 m/s on the basis of the latency of antidromic activation and conduction distance. The PANs with activity only at the beginning of a sequential movement were more frequently found to project to GPi than to GPe, whereas the PANs with burst activity at each movement were more frequently found to project to GPe than to GPi. Among the GPi-projecting PANs, neurons with initial activity only showed a tendency to have longer latencies of activation from GPi than neurons with activity time-locked to each movement. 7. The physiological action of the striatopallidal projection was examined by switching from recording to microstimulation after identification of striatopallidal projection neurons in the putamen while recording evoked field potentials or spike discharges of single GP neurons located where the electrical stimulation evoked antidromic activation of the striate neurons with the lowest threshold. A small majority of GP neurons that exhibited increase of discharges during motor tasks received facilitatory putaminopallidal influences, whereas the vast majority of GP neurons that exhibited decrease of discharges during motor tasks received suppressive putaminopallidal influences.

scholarly journals Dopamine regulates distinctively the activity patterns of striatal output neurons in advanced parkinsonian primates

2015 ◽  
Vol 113 (5) ◽  
pp. 1533-1544 ◽  
Author(s):  
Arun Singh ◽  
Li Liang ◽  
Yoshiki Kaneoke ◽  
Xuebing Cao ◽  
Stella M. Papa
Keyword(s):  
Basal Ganglia ◽  
Firing Pattern ◽  
Activity Patterns ◽  
Receptor Activation ◽  
Firing Frequency ◽  
Projection Neurons ◽  
Indirect Pathway ◽  
Response Compatible ◽  
Motor Abnormalities ◽  
The Impact

Nigrostriatal dopamine denervation plays a major role in basal ganglia circuitry disarray and motor abnormalities of Parkinson's disease (PD). Studies in rodent and primate models have revealed that striatal projection neurons, namely, medium spiny neurons (MSNs), increase the firing frequency. However, their activity pattern changes and the effects of dopaminergic stimulation in such conditions are unknown. Using single-cell recordings in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated primates with advanced parkinsonism, we studied MSN activity patterns in the transition to different motor states following levodopa administration. In the “off” state (baseline parkinsonian disability), a burst-firing pattern accompanied by prolonged silences (pauses) was found in 34% of MSNs, and 80% of these exhibited a levodopa response compatible with dopamine D1 receptor activation (direct pathway MSNs). This pattern was highly responsive to levodopa given that bursting/pausing almost disappeared in the “on” state (reversal of parkinsonism after levodopa injection), although this led to higher firing rates. Nonbursty MSNs fired irregularly with marked pausing that increased in the on state in the MSN subset with a levodopa response compatible with dopamine D2 receptor activation (indirect pathway MSNs), although the pause increase was not sustained in some units during the appearance of dyskinesias. Data indicate that the MSN firing pattern in the advanced parkinsonian monkey is altered by bursting and pausing changes and that dopamine differentially and inefficiently regulates these behaviorally correlated patterns in MSN subpopulations. These findings may contribute to understand the impact of striatal dysfunction in the basal ganglia network and its role in motor symptoms of PD.

Influence of VPM afferents on putative inhibitory interneurons in S1 of the awake rabbit: evidence from cross-correlation, microstimulation, and latencies to peripheral sensory stimulation

1995 ◽  
Vol 73 (4) ◽  
pp. 1584-1599 ◽  
Author(s):  
H. A. Swadlow
Keyword(s):  
Electrical Stimulation ◽  
Cortical Neurons ◽  
Response Times ◽  
Projection Neurons ◽  
Significant Shift ◽  
Peripheral Stimulus ◽  
Median Latency ◽  
Afferent Pathways ◽  
Antidromic Activation ◽  
Stimulation Of

1. Responses of thalamocortical projection neurons and suspected cortical interneurons (SINs) to very brief peripheral stimuli were examined within the vibrissae, the sinus hair, the lip, and the chin representations of ventroposterior medial thalamus (VPM) and primary somatosensory cortex (S1). VPM thalamocortical neurons (N = 40) were identified by their antidromic activation after electrical stimulation of S1. SINs were identified by a high-frequency (> 600 Hz) burst of three or more spikes elicited by suprathreshold stimulation of one or more afferent pathways. SINs also had spikes of very short duration. 2. Previous work has shown that electrical stimulation of VPM elicits a very early and powerful synaptic response in many S1 SINs. Three experimental strategies were employed to test the hypothesis that such responses reflect a monosynaptic VPM input onto SINs and to examine the effects of such input. 1) After a brief peripheral stimulus, the arrival times of VPM thalamocortical impulses in S1 were determined and compared with the initial response times of S1 SINs. 2) Shift-corrected cross-correlograms (CCGs) were constructed from the spike trains of pairs of VPM neurons and SINs that were in precise topographic alignment. 3) Inferences of connectivity based on such CCGs were supported by applying very low-intensity (1-10 microA) microstimulation pulses to the recording microelectrode in VPM and observing evoked responses in the cortical SIN. 3. VPM thalamocortical neurons responded to a brief air puff stimulus at a median latency of 5.05 ms, and the estimated arrival time of the VPM impulses at S1 had a median value of 5.97 ms. This estimate was obtained by adding the antidromic latency of each VPM neuron to the latency of the peripheral stimulus and was supported by similar values obtained from three VPM thalamocortical axons recorded near their termination site within S1. SINs of S1 were among the first cortical neurons to respond to the peripheral stimulus, responding to the air puff at a median latency of 6.6 ms (range 5.7-13.0 ms). The latency of SINs to the peripheral stimulus was strongly related to the latency to gross electrical stimulation of VPM (median value 1.52 ms, r2 = +0.44, P < 0.0001). Many SINs (23 of 34) showed significant shift-corrected CCGs with VPM neurons that were in precise topographic alignment. Most significant CCGs revealed a very brief increase in SIN spike probability (half-amplitude response of approximately 1 ms) that reached a peak value at intervals of 1.4-2.0 ms after the VPM spike.(ABSTRACT TRUNCATED AT 400 WORDS)

Singing-Related Activity of Identified HVC Neurons in the Zebra Finch

2007 ◽  
Vol 97 (6) ◽  
pp. 4271-4283 ◽  
Author(s):  
Alexay A. Kozhevnikov ◽  
Michale S. Fee
Keyword(s):  
Vocal Learning ◽  
Primary Source ◽  
Projection Neurons ◽  
Related Activity ◽  
Population Activity ◽  
Antidromic Activation ◽  
Firing Patterns ◽  
Anterior Forebrain ◽  
Song Production ◽  
Area X

High vocal center (HVC) is part of the premotor pathway necessary for song production and is also a primary source of input to the anterior forebrain pathway (AFP), a basal ganglia-related circuit essential for vocal learning. We have examined the activity of identified HVC neurons of zebra finches during singing. Antidromic activation was used to identify three classes of HVC cells: neurons projecting to the premotor nucleus RA, neurons projecting to area X in the AFP, and putative HVC interneurons. HVC interneurons are active throughout the song and display tonic patterns of activity. Projection neurons exhibit highly phasic stereotyped firing patterns. X-projecting (HVC(X)) neurons burst zero to four times per motif, whereas RA-projecting neurons burst extremely sparsely—at most once per motif. The bursts of HVC projection neurons are tightly locked to the song and typically have a jitter of <1 ms. Population activity of interneurons, but not projection neurons, was significantly correlated with syllable patterns. Consistent with the idea that HVC codes for the temporal order in the song rather than for sound, the vocal dynamics and neural dynamics in HVC occur on different and uncorrelated time scales. We test whether HVC(X) neurons are auditory sensitive during singing. We recorded the activity of these neurons in juvenile birds during singing and found that firing patterns of these neurons are not altered by distorted auditory feedback, which is known to disrupt learning or to cause degradation of song already learned.

Differential activity patterns of putaminal neurons with inputs from the primary motor cortex and supplementary motor area in behaving monkeys

2011 ◽  
Vol 106 (3) ◽  
pp. 1203-1217 ◽  
Author(s):  
Sayuki Takara ◽  
Nobuhiko Hatanaka ◽  
Masahiko Takada ◽  
Atsushi Nambu
Keyword(s):  
Motor Cortex ◽  
Primary Motor Cortex ◽  
Supplementary Motor Area ◽  
Activity Patterns ◽  
Motor Area ◽  
Projection Neurons ◽  
Related Activity ◽  
Cortical Inputs ◽  
Behaving Monkeys ◽  
Increased Activity

Activity patterns of projection neurons in the putamen were investigated in behaving monkeys. Stimulating electrodes were implanted chronically into the proximal (MIproximal) and distal (MIdistal) forelimb regions of the primary motor cortex (MI) and the forelimb region of the supplementary motor area (SMA). Cortical inputs to putaminal neurons were identified by excitatory orthodromic responses to stimulation of these motor cortices. Then, neuronal activity was recorded during the performance of a goal-directed reaching task with delay. Putaminal neurons with inputs from the MI and SMA showed different activity patterns, i.e., movement- and delay-related activity, during task performance. MI-recipient neurons increased activity in response to arm-reach movements, whereas SMA-recipient neurons increased activity during delay periods, as well as during movements. The activity pattern of MI + SMA-recipient neurons was of an intermediate type between those of MI- and SMA-recipient neurons. Approximately one-half of MIproximal-, SMA-, and MI + SMA-recipient neurons changed activities before the onset of movements, whereas a smaller number of MIdistal- and MIproximal + distal-recipient neurons did. Movement-related activity of MI-recipient neurons was modulated by target directions, whereas SMA- and MI + SMA-recipient neurons had a lower directional selectivity. MI-recipient neurons were located mainly in the ventrolateral part of the caudal aspect of the putamen, whereas SMA-recipient neurons were located in the dorsomedial part. MI + SMA-recipient neurons were found in between. The present results suggest that a subpopulation of putaminal neurons displays specific activity patterns depending on motor cortical inputs. Each subpopulation receives convergent or nonconvergent inputs from the MI and SMA, retains specific motor information, and sends it to the globus pallidus and the substantia nigra through the direct and indirect pathways of the basal ganglia.

scholarly journals A Pilot Study of 24-h Motor Activity Patterns in Multiple Sclerosis: Pre-Planned Follow-Up at 2 Years

2021 ◽  
Vol 3 (3) ◽  
pp. 366-376
Author(s):  
Lorenzo Tonetti ◽  
Federico Camilli ◽  
Sara Giovagnoli ◽  
Vincenzo Natale ◽  
Alessandra Lugaresi
Keyword(s):  
Multiple Sclerosis ◽  
Motor Activity ◽  
Activity Pattern ◽  
Activity Patterns ◽  
Expanded Disability Status Scale ◽  
Disability Status ◽  
Relapsing Remitting ◽  
Edss Score ◽  
Activity Prognosis

Early multiple sclerosis (MS) predictive markers of disease activity/prognosis have been proposed but are not universally accepted. Aim of this pilot prospective study is to verify whether a peculiar hyperactivity, observed at baseline (T0) in early relapsing-remitting (RR) MS patients, could represent a further prognostic marker. Here we report results collected at T0 and at a 24-month follow-up (T1). Eighteen RRMS patients (11 females, median Expanded Disability Status Scale-EDSS score 1.25, range EDSS score 0–2) were monitored at T0 (mean age 32.33 ± 7.51) and T1 (median EDSS score 1.5, range EDSS score 0–2.5). Patients were grouped into two groups: responders (R, 14 patients) and non-responders (NR, 4 patients) to treatment at T1. Each patient wore an actigraph for one week to record the 24-h motor activity pattern. At T0, NR presented significantly lower motor activity than R between around 9:00 and 13:00. At T1, NR were characterized by significantly lower motor activity than R between around 12:00 and 17:00. Overall, these data suggest that through the 24-h motor activity pattern, we can fairly segregate at T0 patients who will show a therapeutic failure, possibly related to a more active disease, at T1. These patients are characterized by a reduced morning level of motor activation. Further studies on larger populations are needed to confirm these preliminary findings.

Identification of Basolateral Amygdala Projection Cells and Interneurons Using Extracellular Recordings

2006 ◽  
Vol 96 (6) ◽  
pp. 3257-3265 ◽  
Author(s):  
Ekaterina Likhtik ◽  
Joe Guillaume Pelletier ◽  
Andrei T. Popescu ◽  
Denis Paré
Keyword(s):  
Firing Rate ◽  
Basolateral Amygdala ◽  
Cell Group ◽  
Small Subset ◽  
Cortical Projection ◽  
Antidromic Activation ◽  
Extracellular Recordings ◽  
Firing Rates ◽  
Cell Groups ◽  
Exact Position

This study tested whether firing rate and spike shape could be used to distinguish projection cells from interneurons in extracellular recordings of basolateral amygdala (BLA) neurons. To this end, we recorded BLA neurons in isoflurane-anesthetized animals with tungsten microelectrodes. Projection cells were identified by antidromic activation from cortical projection sites of the BLA. Although most projection cells fired spontaneously at low rates (<1 Hz), an important subset fired at higher rates (up to 6.8 Hz). In fact, the distribution of firing rates in projection cells and unidentified BLA neurons overlapped extensively, even though the latter cell group presumably contains a higher proportion of interneurons. The only difference between the two distributions was a small subset (5.1%) of unidentified neurons with unusually high firing rates (9–16 Hz). Similarly, distributions of spike durations in both cell groups were indistinguishable, although most of the fast-firing neurons had spike durations at the low end of the distribution. However, we observed that spike durations depended on the exact position of the electrode with respect to the recorded cell, varying by as much as 0.7 ms. Thus neither firing rate nor spike waveform allowed for unequivocal separation of projection cells from interneurons. Nevertheless, we propose the use of two firing rate cutoffs to obtain relatively pure samples of projection cells and interneurons: ≤1 Hz for projection cells and ≥7 Hz for fast-spiking interneurons. Supplemented with spike-duration cutoffs of ≥0.7 ms for projection cells and ≤0.5 ms for interneurons, this approach should keep instances of misclassifications to a minimum.

Activity of monkey frontal eye field neurons projecting to oculomotor regions of the pons

1992 ◽  
Vol 68 (6) ◽  
pp. 1967-1985 ◽  
Author(s):  
M. A. Segraves
Keyword(s):  
Electrical Stimulation ◽  
Visual Stimulation ◽  
Saccadic Eye Movements ◽  
Frontal Eye Field ◽  
Related Activity ◽  
Burst Neurons ◽  
Eye Field ◽  
Movement Field ◽  
Omnipause Neurons ◽  
Stimulation Of

1. This study identified neurons in the rhesus monkey's frontal eye field that projected to oculomotor regions of the pons and characterized the signals sent by these neurons from frontal eye field to pons. 2. In two behaving rhesus monkeys, frontal eye field neurons projecting to the pons were identified via antidromic excitation by a stimulating microelectrode whose tip was centered in or near the omnipause region of the pontine raphe. This stimulation site corresponded to the nucleus raphe interpositus (RIP). In addition, electrical stimulation of the frontal eye field was used to demonstrate the effects of frontal eye field input on neurons in the omnipause region and surrounding paramedian pontine reticular formation (PPRF). 3. Twenty-five corticopontine neurons were identified and characterized. Most frontal eye field neurons projecting to the pons were either movement neurons, firing in association with saccadic eye movements (48%), or foveal neurons responsive to visual stimulation of the fovea combined with activity related to fixation (28%). Corticopontine movement neurons fired before, during, and after saccades made within a restricted movement field. 4. The activity of identified corticopontine neurons was very similar to the activity of neurons antidromically excited from the superior colliculus where 59% had movement related activity, and 22% had foveal and fixation related activity. 5. High-intensity, short-duration electrical stimulation of the frontal eye field caused omnipause neurons to stop firing. The cessation in firing appeared to be immediate, within < or = 5 ms. The time that the omnipause neuron remained quiet depended on the intensity of the cortical stimulus and lasted up to 30 ms after a train of three stimulus pulses lasting a total of 6 ms at an intensity of 1,000 microA. Low-intensity, longer duration electrical stimuli (24 pulses, 75 microA, 70 ms) traditionally used to evoke saccades from the frontal eye field were also followed by a cessation in omnipause neuron firing, but only after a delay of approximately 30 ms. For these stimuli, the omnipause neuron resumed firing when the stimulus was turned off. 6. The same stimuli that caused omnipause neurons to stop firing excited burst neurons in the PPRF. The latency to excitation ranged from 4.2 to 9.8 ms, suggesting that there is at least one additional neuron between frontal eye field neurons and burst neurons in the PPRF. 7. The present study confirms and extends the results of previous work, with the use of retrograde and anterograde tracers, demonstrating direct projections from the frontal eye field to the pons.(ABSTRACT TRUNCATED AT 400 WORDS)

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