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Cooperative interactions profoundly shape individual and collective behaviors of social animals. Successful cooperation requires coordinated efforts by cooperators toward collective goals. However, the underlying behavioral dynamics and neuronal mechanisms within and between cooperating brains remain largely unknown. We recorded intracranial electrophysiological signals from human pairs engaged in a cooperation game. We show that teammate coordination and goal pursuit make distinct contributions to the behavioral cooperation dynamics. Increases and decreases in high-gamma activity in the temporoparietal junction (TPJ) and amygdala distinguish between establishing and maintaining cooperation and forecast transitions between these two states. High-gamma activity from distinct neuronal populations encodes teammate coordination and goal pursuit motives, with populations of TPJ neurons preferentially tracking dominant motives of different cooperation states. Across cooperating brains, high-gamma activity in the TPJ and amygdala synchronizes in a state-dependent manner that predicts how well cooperators coordinate. These findings provide fine-grained understandings of human cooperation dynamics as a state-dependent process with distinctive neurocognitive profiles of each state.
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http://dx.doi.org/10.1038/s41593-024-01824-y | DOI Listing |
J Neurosci
September 2025
Wallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Layer 6 corticothalamic (L6CT) neurons project to both cortex and thalamus, inducing multiple effects including the modulation of cortical and thalamic firing, and the emergence of high gamma oscillations in the cortical local field potential (LFP). We hypothesize that the high gamma oscillations driven by L6CT neuron activation reflect the dynamic engagement of intracortical and cortico-thalamo-cortical circuits. To test this, we optogenetically activated L6CT neurons in NTSR1-cre mice (both male and female) expressing channelrhodopsin-2 in L6CT neurons.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy.
Objective: Resting-state EEG (rsEEG) provides insights into neural mechanisms underlying memory by reflecting intrinsic brain activity. This study tested whether rsEEG spectral power and theta-gamma phase-amplitude coupling (PAC) can predict memory performance in healthy adults.
Methods: Twenty-four healthy adults participated in two rsEEG recording sessions, followed by memory tests assessing multimodal Working Memory (WM), Immediate Recall (IR), and Delayed Recall (DR).
Cereb Cortex
August 2025
Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, ON2 Herestraat 49, box 1021, 3000 Leuven, Belgium.
High Gamma Band (HGB) and Slow Wave Oscillations (SWOs) have been identified as significant features in movement neurophysiology. HGB reflects local neuronal activity, while SWOs inform on the temporal characteristics of movement, especially during repetitive tasks. However, to date, they have mostly been studied separately, leaving details on their interaction largely unknown.
View Article and Find Full Text PDFJ Neurophysiol
August 2025
School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Cardiovascular and metabolic dysfunction plays a significant role in the onset and progression of inflammation and cerebrovascular diseases, often leading to cognitive impairment. While growing evidence highlights the link between activity in key brain regions and cardiovascular disease events, the relationship between brain dynamics and cardiovascular or metabolic profiles in healthy individuals remains largely unexplored. We performed magnetoencephalography (MEG) in 29 healthy participants (12 males and 17 females; aged 19-72).
View Article and Find Full Text PDFJ Neurosci
August 2025
Mental Health Service, VA San Diego Healthcare Syst., La Jolla, CA, 92161.
Behavioral outcomes are rarely certain, requiring subjects to discriminate between available choices by using feedback to guide future decisions. Probabilistic reversal learning (PRL) tasks test subjects' ability to learn and flexibly adapt to changes in reward contingencies. Cortico-striatal circuitry has been broadly implicated in flexible decision-making - though what role these circuits play remains complicated.
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