Mechanisms of Premotor-Motor Cortex Interactions during Goal Directed Behavior DOI Creative Commons
Ilka Diester, Mansour Alyahyay, Gabriel Kalweit

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 17, 2023

Abstract Deciphering the neural code underlying goal-directed behavior is a long-term mission in neuroscience 1,2 . Neurons exhibiting preparation and movement-related activity are intermingled premotor motor cortices 3,4 , thus concealing of planned movements. We employed combination electrophysiology, pathway-specific optogenetics, phototagging, inverse reinforcement learning (RL) to elucidate role defined neuronal subpopulations rat rostral caudal forelimb areas (RFA CFA), which correspond cortical areas. The RL enabled functional dissection spatially subpopulations, complementing our optogenetic manipulations unveiling differential functions movement projecting from RFA CFA. Our results show that subpopulation suppresses movements, whereas promotes actions. found influence on CFA be adaptable, with projection either inhibiting or exciting neurons superficial deep layers, depending context task phase. These complex interactions between likely involve recruitment inhibitory interneurons CFA, supported by electron microscopy analysis connectivity these regions. provide here unprecedented mechanistic insights into how primary functionally structurally interlinked potential advance neuroprosthetics.

Language: Английский

Separating cognitive and motor processes in the behaving mouse DOI
Munib A. Hasnain, Jaclyn E Birnbaum,

Juan Luis Ugarte Nunez

et al.

Nature Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Language: Английский

Citations

1
Rethinking Remapping: Circuit Mechanisms of Recovery after Stroke DOI Creative Commons
Baruc Campos, Hoseok Choi, Andrew T. DeMarco

et al.

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(45), P. 7489 - 7500

Published: Nov. 8, 2023

Stroke is one of the most common causes disability, and there are few treatments that can improve recovery after stroke. Therapeutic development has been hindered because a lack understanding precisely how neural circuits affected by stroke, these change to mediate recovery. Indeed, some hypotheses for CNS changes recovery, including remapping, redundancy, diaschisis, date more than century ago. Recent technological advances have enabled interrogation with ever greater temporal spatial resolution. These techniques increasingly being applied across animal models stroke human survivors, shedding light on molecular, structural, functional undergo Here we review studies highlight important mechanisms underlie impairment We begin summarizing knowledge about in activity occur peri-infarct cortex, specifically considering evidence remapping hypothesis Next, describe importance population dynamics, disruptions dynamics allocation neurons into spared restore functionality. On global scale, then discuss effects long-range pathways, interhemispheric interactions corticospinal tract transmission, contribute post-stroke impairments. Finally, look forward consider deeper circuit may lead novel reduce disability

Language: Английский

Citations

14
Change detection in the primate auditory cortex through feedback of prediction error signals DOI Creative Commons

Keitaro Obara,

Teppei Ebina, Shin-Ichiro Terada

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 13, 2023

Although cortical feedback signals are essential for modulating feedforward processing, no error signal across hierarchical areas has been reported. Here, we observed such a in the auditory cortex of awake common marmoset during an oddball paradigm to induce duration mismatch negativity. Prediction errors deviant tone presentation were generated as offset calcium responses layer 2/3 neurons rostral parabelt (RPB) higher-order cortex, while non-deviant tones strongly suppressed. Within several hundred milliseconds, propagated broadly into 1 primary (A1) and accumulated locally on top incoming signals. Blockade RPB activity prevented deviance detection A1. Optogenetic activation following nonlinearly enhanced A1 response. Thus, is critical automatic unpredicted stimuli physiological processing may serve backpropagation-like learning.

Language: Английский

Citations

10
Convergence of inputs from the basal ganglia with layer 5 of motor cortex and cerebellum in mouse motor thalamus DOI Creative Commons
Kevin P. Koster, S. Murray Sherman

eLife, Journal Year: 2024, Volume and Issue: 13

Published: June 10, 2024

A key to motor control is the thalamus, where several inputs converge. One excitatory input originates from layer 5 of primary cortex (M1 L5 ), while another arises deep cerebellar nuclei (Cb). M1 terminals distribute throughout thalamus and overlap with GABAergic basal ganglia output nuclei, internal segment globus pallidus (GPi), substantia nigra pars reticulata (SNr). In contrast, it thought that Cb are segregated. Therefore, we hypothesized one potential function selectively inhibit, or gate, signals in thalamus. Here, tested this possibility determined circuit organization mouse (both sexes) using an optogenetic strategy acute slices. First, demonstrated presence a feedforward transthalamic pathway through Importantly, discovered GPi SNr converge onto single thalamic cells synapses . Separately, also demonstrate that, perhaps unexpectedly, those Cb. We interpret these results indicate role gate transmission information cortex.

Language: Английский

Citations

3
Dynamics of directional motor tuning in the primate premotor and primary motor cortices during sensorimotor learning DOI Creative Commons
Teppei Ebina,

Akitaka Sasagawa,

D. Hong

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Aug. 20, 2024

Sensorimotor learning requires reorganization of neuronal activity in the premotor cortex (PM) and primary motor (M1). To reveal PM- M1-specific a primate, we conducted calcium imaging common marmosets while they learned two-target reaching (pull/push) task after mastering one-target (pull) task. Throughout task, dorsorostral PM (PMdr) showed peak earlier than dorsocaudal (PMdc) M1. During learning, reaction time pull trials increased correlated strongly with timing PMdr activity. decreasing representation newly introduced (push) movement, whereas PMdc M1 maintained high push movements. Many task-related neurons exhibited strong preference to either movement direction. dynamically switched their preferred direction depending on performance early stage, stably retained similarity between neighbors. These results suggest that primate sensorimotor dynamic directional tuning converts association formed stable specific

Language: Английский

Citations

3
Human motor cortex encodes complex handwriting through a sequence of stable neural states DOI Creative Commons
Yu Qi, Xinyun Zhu,

Xinzhu Xiong

et al.

Nature Human Behaviour, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

0
Whether or not to act is determined by distinct signals from motor thalamus and orbitofrontal cortex to secondary motor cortex DOI Creative Commons

Eriko Yoshida,

Masashi Kondo, Ken Nakae

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 4, 2025

"To act or not to act" is a fundamental decision made in daily life. However, it unknown how the relevant signals are transmitted secondary motor cortex (M2), which cortical origin of initiation. Here, we found that decision-making task male mice, inputs from thalamus M2 positively regulated action while lateral part orbitofrontal (LO) negatively it. The received basal ganglia outputs value-related regardless whether animal acted not. By contrast, large subpopulation LO showed decreased activity before and during action, value. These results suggest integrates positive signal value with negative action-biased finally determine

Language: Английский

Citations

0
Emergence of preparatory dynamics in VIP interneurons during motor learning DOI Creative Commons

Sergio Arroyo,

Sapeeda Barati, Kyung-Soo Kim

et al.

Cell Reports, Journal Year: 2023, Volume and Issue: 42(8), P. 112834 - 112834

Published: July 18, 2023

To determine what actions to perform in each context, animals must learn how execute motor programs response sensory cues. In rodents, the interface between processing and planning occurs secondary cortex (M2). Here, we investigate dynamics vasointestinal peptide (VIP) somatostatin (SST) interneurons M2 during acquisition of a cue-based, reach-to-grasp (RTG) task mice. We observe emergence preparatory activity consisting responses ramping activation subset VIP learning. show that movement activities neurons exhibit compartmentalized dynamics, with principal component 1 (PC1) PC2 reflecting primarily activity, respectively. contrast, later more synchronous SST epoch Our results reveal population might support sensorimotor learning compartmentalization execution.

Language: Английский

Citations

7
Layer 5 Intratelencephalic Neurons in the Motor Cortex Stably Encode Skilled Movement DOI Creative Commons
Takanori Shinotsuka, Yasuhiro Tanaka, Shin-Ichiro Terada

et al.

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(43), P. 7130 - 7148

Published: Sept. 12, 2023

The primary motor cortex (M1) and the dorsal striatum play a critical role in learning retention of learned behaviors. Motor representations corticostriatal ensembles emerge during learning. In coordinated reorganization M1 for learning, layer 5a (L5a) which connects to ipsilateral contralateral striatum, should be key layer. Although L5a neurons represent movement-related activity late stage it is unclear whether retained as memory engram. Here, using Tlx3-Cre male transgenic mice, we conducted two-photon calcium imaging striatum-projecting intratelencephalic (IT) forelimb sessions self-initiated lever-pull task after 6 d nontraining following sessions. We found that trained animals exhibited stable performance before days. At same time, IT strongly represented well-learned movement but not uninstructed orofacial movements. A subset consistently coded Inactivation impaired when lever was made heavier or target range pull distance narrowed. These results suggest continuously skilled serve fine-tune kinematics movement.SIGNIFICANCE STATEMENT persists even used while. gradually come movements However, remains determined these changes persist over long period how contribute show retain information Furthermore, suppressing behavioral stability adaptability. Our importance tuning period.

Language: Английский

Citations

7
Medial prefrontal cortex suppresses reward-seeking behavior with risk of punishment by reducing sensitivity to reward DOI Creative Commons
Monami Nishio, Masashi Kondo,

Eriko Yoshida

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: June 5, 2024

Reward-seeking behavior is frequently associated with risk of punishment. There are two types punishment: positive punishment, which defined as addition an aversive stimulus, and negative involves the omission a rewarding outcome. Although medial prefrontal cortex (mPFC) important in avoiding whether it for both punishment how contributes to such avoidance not clear. In this study, we trained male mice perform decision-making tasks under risks (air-puff stimulus) (reward omission) modeled their reinforcement learning. Following training, pharmacologically inhibited mPFC. We found that pharmacological inactivation mPFC enhanced reward-seeking choice positive, but negative, learning models, behavioral change was well-explained increase sensitivity reward, rather than decrease strength aversion Our results suggest suppresses by reducing reward

Language: Английский

Citations

2