Laminar specificity of oscillatory coherence in the auditory cortex

García‐Rosales, Francisco; Röhrig, Dennis; Weineck, Kristin; Röhm, Mira; Lin, Yi-Hsuan; Cabral‐Calderín, Yuranny; Kössl, Manfred; Hechavarría, Julio C.

doi:10.1007/s00429-019-01944-3

Cited by 14 publications

(26 citation statements)

References 83 publications

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“…Left column depicts the raw LFP, whereas middle and right columns depict field-potentials filtered in 4-12 and 25-45 Hz low-frequency and gamma-bands, respectively. above 0 for all stimuli ( Figures 5B,E,H,K, gray traces; same statistical analysis as for low-frequencies; p corr < 0.05), and more reliably so for channels located in input layers of the AC (in this context, electrodes at depths of 250-350 µm; layers III-IV in C. perspicillata's AC span depths of 200-450 µm (see Garcia-Rosales et al, 2019). For the 5.28 Hz and the Poisson syllabic trains, the onset-related increase in low-gamma coherence occurred essentially along all AC depths studied.…”

Section: Faf-ac Synchronization During Acoustic Processingmentioning

confidence: 74%

“…During spontaneous activity, low-frequency coherence was strongest in deep layers (depth > 700 µm), but the strength of coherence was only affected by depth in the delta band. Interestingly, a recent study revealed that, also during spontaneous activity, spike-LFP synchronization was strongest in deep layers of the AC (Garcia-Rosales et al, 2019). Such spike-LFP coupling was associated to the presence of discrete spontaneous states of increased spiking rate (UP-states) in laminae V and VI.…”

Section: Faf-ac Synchronization During Spontaneous Activitymentioning

confidence: 96%

“…Data were acquired from the bat's left AC as described in a previous study (Garcia-Rosales et al, 2019). Neurophysiological data were recorded from the AC using 16-channel laminar electrodes (Model A1 × 16, NeuroNexus, MI; impedance: 0.5-3 M ), with a channel separation of 50 µm.…”

Section: Electrophysiological Recordingsmentioning

confidence: 99%

“…Thus, we were able to record from depths ranging 0-750 µm, reaching all layers in AC. Histological confirmation of the extent of the electrodes inside the cortex are detailed elsewhere (Garcia-Rosales et al, 2019). Recordings were made in primary AC, although we cannot discard the presence of columns from high frequency fields (Esser and Eiermann, 1999).…”

Section: Electrophysiological Recordingsmentioning

confidence: 99%

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Fronto-Temporal Coupling Dynamics During Spontaneous Activity and Auditory Processing in the Bat Carollia perspicillata

García‐Rosales

López‐Jury

González‐Palomares

et al. 2020

Front. Syst. Neurosci.

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Most mammals rely on the extraction of acoustic information from the environment in order to survive. However, the mechanisms that support sound representation in auditory neural networks involving sensory and association brain areas remain underexplored. In this study, we address the functional connectivity between an auditory region in frontal cortex (the frontal auditory field, FAF) and the auditory cortex (AC) in the bat Carollia perspicillata. The AC is a classic sensory area central for the processing of acoustic information. On the other hand, the FAF belongs to the frontal lobe, a brain region involved in the integration of sensory inputs, modulation of cognitive states, and in the coordination of behavioral outputs. The FAF-AC network was examined in terms of oscillatory coherence (local-field potentials, LFPs), and within an information theoretical framework linking FAF and AC spiking activity. We show that in the absence of acoustic stimulation, simultaneously recorded LFPs from FAF and AC are coherent in low frequencies (1-12 Hz). This "default" coupling was strongest in deep AC layers and was unaltered by acoustic stimulation. However, presenting auditory stimuli did trigger the emergence of coherent auditory-evoked gamma-band activity (>25 Hz) between the FAF and AC. In terms of spiking, our results suggest that FAF and AC engage in distinct coding strategies for representing artificial and natural sounds. Taken together, our findings shed light onto the neuronal coding strategies and functional coupling mechanisms that enable sound representation at the network level in the mammalian brain.

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Section: Faf-ac Synchronization During Acoustic Processingmentioning

confidence: 74%

Section: Faf-ac Synchronization During Spontaneous Activitymentioning

confidence: 96%

Section: Electrophysiological Recordingsmentioning

confidence: 99%

Section: Electrophysiological Recordingsmentioning

confidence: 99%

See 2 more Smart Citations

Fronto-Temporal Coupling Dynamics During Spontaneous Activity and Auditory Processing in the Bat Carollia perspicillata

García‐Rosales

López‐Jury

González‐Palomares

et al. 2020

Front. Syst. Neurosci.

Self Cite

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“…The latter facilitated stable recording conditions by preventing head movements. The implantation protocol was modified from the procedure used in previous studies [73,74,[81][82][83][84].…”

Section: Surgical Proceduresmentioning

confidence: 99%

Neural oscillations in the fronto-striatal network predict vocal output in bats

2020

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The ability to vocalize is ubiquitous in vertebrates, but neural networks underlying vocal control remain poorly understood. Here, we performed simultaneous neuronal recordings in the frontal cortex and dorsal striatum (caudate nucleus, CN) during the production of echolocation pulses and communication calls in bats. This approach allowed us to assess the general aspects underlying vocal production in mammals and the unique evolutionary adaptations of bat echolocation. Our data indicate that before vocalization, a distinctive change in highgamma and beta oscillations (50-80 Hz and 12-30 Hz, respectively) takes place in the bat frontal cortex and dorsal striatum. Such precise fine-tuning of neural oscillations could allow animals to selectively activate motor programs required for the production of either echolocation or communication vocalizations. Moreover, the functional coupling between frontal and striatal areas, occurring in the theta oscillatory band (4-8 Hz), differs markedly at the millisecond level, depending on whether the animals are in a navigational mode (that is, emitting echolocation pulses) or in a social communication mode (emitting communication calls). Overall, this study indicates that fronto-striatal oscillations could provide a neural correlate for vocal control in bats.

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Echolocation-related reversal of information flow in a cortical vocalization network

et al. 2022

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The mammalian frontal and auditory cortices are important for vocal behavior. Here, using local-field potential recordings, we demonstrate that the timing and spatial patterns of oscillations in the fronto-auditory network of vocalizing bats (Carollia perspicillata) predict the purpose of vocalization: echolocation or communication. Transfer entropy analyses revealed predominant top-down (frontal-to-auditory cortex) information flow during spontaneous activity and pre-vocal periods. The dynamics of information flow depend on the behavioral role of the vocalization and on the timing relative to vocal onset. We observed the emergence of predominant bottom-up (auditory-to-frontal) information transfer during the post-vocal period specific to echolocation pulse emission, leading to self-directed acoustic feedback. Electrical stimulation of frontal areas selectively enhanced responses to sounds in auditory cortex. These results reveal unique changes in information flow across sensory and frontal cortices, potentially driven by the purpose of the vocalization in a highly vocal mammalian model.

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Laminar specificity of oscillatory coherence in the auditory cortex

Cited by 14 publications

References 83 publications

Fronto-Temporal Coupling Dynamics During Spontaneous Activity and Auditory Processing in the Bat Carollia perspicillata

Fronto-Temporal Coupling Dynamics During Spontaneous Activity and Auditory Processing in the Bat Carollia perspicillata

Neural oscillations in the fronto-striatal network predict vocal output in bats

Echolocation-related reversal of information flow in a cortical vocalization network

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