Spectrotemporal signatures of driving and modulatory circuits across cortical and subcortical networks
O'Connell, M. N.; Barczak, A.; Mackey, C. A.; McGinnis, T.; Mackin, K.; Smiley, J.; Bleiwas, C.; Lakatos, P. A.; Schroeder, C. E.
Show abstract
Sensory processing depends on interactions between neural circuits that convey and regulate information across cortical and subcortical networks. Classical frameworks distinguish driving inputs, which transmit sensory content via suprathreshold activation, from modulatory inputs, which alter neuronal excitability without directly eliciting spiking. However, physiological signatures of these circuit types that generalize widely across distributed brain regions remain unclear. Here, we functionally differentiate driving and modulatory circuits in the awake macaque brain by jointly quantifying suprathreshold multiunit activity (MUA) and oscillatory phase coherence (inter-trial coherence, ITC) across eight cortical and thalamic structures during auditory, visual, and motor sampling conditions. Preferred sensory stimuli elicited broadband ITC increases accompanied by robust MUA, yielding relatively uniform spectral distributions across adjacent frequency bands, consistent with driving inputs. In contrast, non-preferred sensory and motor-related events produced narrowband, frequency-specific ITC modulation without concurrent firing, and was characterized by dominant peaks at stimulation or event rates, which is consistent with modulatory inputs. This narrowband ITC modulation is indicative of coordinated phase alignment, capable of dynamically regulating information transfer, mediated by driving inputs, across thalamocortical circuits. These response types were observed within individual regions, revealing two separable modes of neural activity. These findings identify distinct spectrotemporal signatures of driving and modulatory activity and demonstrate that subthreshold oscillatory modulation is a widespread mechanism for coordinating multisensory and motor influences on perception.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Dynamic Modulation of Beta-Band Oscillations in the LGN and Their Role in Visual Processing 98%
- Oscillatory waveform shape and temporal spike correlations differ across bat frontal and auditory cortex 97%
- The Spatial Reach of Neuronal Coherence and Spike-field Coupling across the Human Neocortex 96%
Similar papers in this journal
Similar papers in this journal
- Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting mismatch responses 96%
- Decoding of attentional state using high-frequency local field potential is as accurate as using spikes 96%
- Spontaneous Variations in Arousal Modulate Subsequent Visual Processing and Local Field Potential Dynamics in the Ferret during Quiet Wakefulness 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.