Neural and Computational Mechanisms of Motivation and Decision-making DOI
Debbie Yee

Journal of Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 36(12), P. 2822 - 2830

Published: Jan. 1, 2024

Motivation is often thought to enhance adaptive decision-making by biasing actions toward rewards and away from punishment. Emerging evidence, however, points a more nuanced view whereby motivation can both impair different aspects of decision-making. Model-based approaches have gained prominence over the past decade for developing precise mechanistic explanations how incentives impact goal-directed behavior. In this Special Focus, we highlight three studies that demonstrate computational frameworks help decompose decision processes into constituent cognitive components, as well formalize when motivational factors (e.g., monetary rewards) influence specific processes, strategies, self-report measures. Finally, I conclude with provocative suggestion based on recent advances in field: organisms do not merely seek maximize expected value extrinsic incentives. Instead, they may be optimizing achieve desired internal state homeostasis, effort, affect). Future investigation such will fruitful endeavor unlocking cognitive, computational, neural mechanisms motivated

Language: Английский

Beta and theta oscillations track effort and previous reward in the human basal ganglia and prefrontal cortex during decision making DOI Creative Commons
Colin W. Hoy, Coralie de Hemptinne, Sarah S. Wang

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(31)

Published: July 24, 2024

Choosing whether to exert effort obtain rewards is fundamental human motivated behavior. However, the neural dynamics underlying evaluation of reward and in humans poorly understood. Here, we report an exploratory investigation into this with chronic intracranial recordings from prefrontal cortex (PFC) basal ganglia (BG; subthalamic nuclei globus pallidus) people Parkinson’s disease performing a decision-making task offers that varied levels physical required. This revealed dissociable signatures effort, BG beta (12 20 Hz) oscillations tracking on single-trial basis PFC theta (4 7 signaling previous trial reward, no effects net subjective value. Stimulation increased overall acceptance sensitivity while decreasing impact choices. work uncovers oscillatory mechanisms guide decisions for across PFC, supports causal role such choices, seeds hypotheses future studies.

Language: Английский

Citations

11

Dopamine and deep brain stimulation accelerate the neural dynamics of volitional action in Parkinson’s disease DOI Creative Commons
Richard Köhler, Thomas Samuel Binns, Timon Merk

et al.

Brain, Journal Year: 2024, Volume and Issue: 147(10), P. 3358 - 3369

Published: July 2, 2024

Abstract The ability to initiate volitional action is fundamental human behaviour. Loss of dopaminergic neurons in Parkinson's disease associated with impaired initiation, also termed akinesia. Both dopamine and subthalamic deep brain stimulation (DBS) can alleviate akinesia, but the underlying mechanisms are unknown. An important question whether DBS facilitate de novo build-up neural dynamics for motor execution or accelerate existing cortical movement initiation signals through shared modulatory circuit effects. Answering these questions provide foundation new closed-loop neurotherapies adaptive DBS, objectification processing delays prior performance remains a significant challenge. To overcome this challenge, we studied readiness potentials trained signal decoders on invasive neurophysiology 25 patients (12 female) during self-initiated movements. Combined sensorimotor cortex electrocorticography local field potential recordings were performed OFF therapy (n = 22), ON medication 18) 8). This allowed us compare their therapeutic effects latencies between earliest representation intention as decoded by linear discriminant analysis classifiers onset muscle activation recorded electromyography. In hypodopaminergic state, observed long machine learning classifications. Both, significantly shortened latencies, hinting towards mechanism alleviation investigate further, analysed directional cortico-subthalamic oscillatory communication multivariate granger causality. Strikingly, found that both therapies independently shifted information flow from antikinetic beta (13–35 Hz) prokinetic theta (4–10 rhythms, which was correlated execution. Our study reveals network modulation pattern may underlie acceleration augmentation disease. Instead producing increasing preparatory signals, modulate communication. These insights link pathophysiology akinesia its’ changes other non-motor domains, e.g. related hyperkinesia effort reward perception. future, our inspire development clinical computer interfaces based temporally precise support disorders.

Language: Английский

Citations

4

Day-to-day fluctuations in motivation drive effort-based decision-making DOI Creative Commons
Sam Hewitt, Agnes Norbury, Quentin J. M. Huys

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(12)

Published: March 17, 2025

Internal states like motivation fluctuate substantially over time. However, studies of the neurocomputational mechanims motivated behavior have failed to capture this. Here, we examined how naturalistic ups and downs in state influence subjective value reward effort. In a microlongitudinal design (N = 155, timepoints 3,344, decision-making tasks 845), captured fluctuations effort-based using smartphone-based momentary assessments as people went about their daily lives. We found that both trait independent multiplicative effects on decision-making. State–behavior coupling was particularly pronounced individuals with higher apathy, meaning choices were even more dependent. Using computational modeling, demonstrate prospectively boosted sensitivity, making willing exert effort future. Our results show day-to-day cognition are tightly linked critical for understanding fundamental human behaviors mental ill-health.

Language: Английский

Citations

0

Understanding disrupted motivation in Parkinson’s disease through a value-based decision-making lens DOI
Campbell Le Heron, Lee‐Anne Morris, Sanjay Manohar

et al.

Trends in Neurosciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Precisely-timed outpatient recordings of subcortical local field potentials from wireless streaming-capable deep-brain stimulators: a method and toolbox DOI
Cheol Soh, Mario Hervault, Andrea Rohl

et al.

Journal of Neuroscience Methods, Journal Year: 2025, Volume and Issue: unknown, P. 110448 - 110448

Published: April 1, 2025

Language: Английский

Citations

0

Neurophysiological Markers of Reward Processing Can Inform Preclinical Neurorehabilitation Approaches for Cognitive Impairments Following Brain Injury DOI Creative Commons
Miranda Francoeur Koloski,

Ramshekar N. Menon,

Victoria Krasnyanskiy

et al.

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 471 - 471

Published: April 29, 2025

Brain stimulation therapies may be used to correct motor, social, emotional, and cognitive consequences of traumatic brain injury (TBI). Neuromodulation applied with anatomical specificity can ameliorate desired symptoms while leaving functional circuits intact. Before applying precision medicine approaches, preclinical animal studies are needed explore potential neurophysiological signatures that could modulated neurostimulation. This review discusses neural cognition, particularly reward processing, which is chronically impaired after injury. Electrophysiology, compared other types biomarkers, detect deficits missed by structural measures, holds translational between humans animals, directly informs neuromodulatory treatments. Disturbances in oscillatory activity underscore structural, molecular, behavioral impairments seen following TBI. For instance, cortico-striatal beta frequency (15-30 Hz) during processing represents subjective value disturbed frontal TBI rodents. We use the example evoked oscillations network as a putative marker targeted electrical improve decision making highlights necessity collecting electrophysiological data models understand underlying mechanisms develop treatments humans.

Language: Английский

Citations

0

TMS-EEG evidence links random exploration to inhibitory mechanisms in the dorsolateral prefrontal cortex DOI Creative Commons
Mojtaba Chizari, Keivan Navi, Reza Khosrowabadi

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 5, 2025

Adaptive decision-making in uncertain environments requires balancing exploration and exploitation. Computational models distinguish between directed exploration, involving deliberate information-seeking, random characterized by stochastic variability. The neural correlates of these strategies have been investigated previous studies. However, while prior research implicates the dorsolateral prefrontal cortex (DLPFC) its underlying excitatory inhibitory mechanisms remain unclear. Understanding processes is essential for explaining how individuals adapt to a dynamic environment. To investigate this, we combined transcranial magnetic stimulation (TMS) with electroencephalography (EEG) directly assess cortical functions. Twenty-five healthy participants completed Horizon Task, behavioral paradigm designed dissociate after task, they received single-pulse TMS over DLPFC. TMS-evoked potentials (TEPs) N45, P60, N100 were examined as neurophysiological markers GABAA, GABAB, glutamate activity. Results revealed significant positive correlation amplitude at right DLPFC suggesting that GABAB-mediated inhibition plays key role decision-making. Additionally, decision noise parameter logistic model further validated this association. These findings highlight importance exploratory behavior underscore utility TMS-EEG uncovering adaptive

Language: Английский

Citations

0

The influence of continuous tunnel driving on high-speed rail drivers’ brain responses DOI
Zizheng Guo, H. Pang, Guofa Li

et al.

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 163, P. 106720 - 106720

Published: May 6, 2025

Language: Английский

Citations

0

Cortico-striatal beta oscillations as a reward-related signal DOI Creative Commons
Miranda Francoeur Koloski,

S. Hulyalkar,

Samuel A. Barnes

et al.

Cognitive Affective & Behavioral Neuroscience, Journal Year: 2024, Volume and Issue: 24(5), P. 839 - 859

Published: Aug. 15, 2024

Abstract The value associated with reward is sensitive to external factors, such as the time between choice and delivery classically manipulated in temporal discounting tasks. Subjective preference for two options dependent on objective variables of magnitude delay. Single neuron correlates have been observed regions, including ventral striatum, orbital, medial prefrontal cortex. Brain imaging studies show cortico-striatal-limbic network activity related subjective preferences. To explore how oscillatory dynamics represent processing across brain we measured local field potentials rats performing a task. Our goal was use data-driven approach identify an electrophysiological marker that preference. We found reward-locked oscillations at beta frequencies signaled decayed longer delays. Electrodes orbitofrontal/medial cortex, anterior insula, amygdala individually increased power were functionally connected during outcome. Beta outcome correlated defined by computational model fit behavior. These data suggest cortico-striatal are signal correlated, which may hold potential serve biomarker therapeutic target.

Language: Английский

Citations

2

Real-world fluctuations in motivation drive effort-based choices DOI Open Access
Sam Hewitt, Agnes Norbury,

Quentin JM Huys

et al.

Published: Aug. 12, 2024

Subjective experiences, like feeling motivated, fluctuate over time. However, we usually ignore these fluctuations when studying how feelings predict behaviour. Here, examine whether naturalistic ups and downs in states influence the subjective value of choices. In a novel microlongitudinal design (N = 155, included timepoints 3344, tasks 845, mean per person 26.4), assessed link between state effort-based choices using smartphone-based, momentary assessments 15 days. Task-based willingness to exert effort for reward was specifically boosted people felt more motivated (than they normally do). This state-behaviour coupling significantly strengthened individuals with higher trait apathy. Computational modelling revealed that changed preceded sensitivity reward, thereby driving Our results show typical, day-to-day cognition are tightly linked, critical understanding fundamental human behaviours real-world.

Language: Английский

Citations

0