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Huang WA, Zhou ZC, Stitt IM, Ramasamy NS, Radtke-Schuller S, Frohlich F. Causal oscillations in the visual thalamo-cortical network in sustained attention in ferrets. Curr Biol 2024; 34:727-739.e5. [PMID: 38262418 PMCID: PMC10922762 DOI: 10.1016/j.cub.2023.12.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 12/07/2023] [Accepted: 12/20/2023] [Indexed: 01/25/2024]
Abstract
Sustained visual attention allows us to process and react to unpredictable, behaviorally relevant sensory input. Sustained attention engages communication between the higher-order visual thalamus and its connected cortical regions. However, it remains unclear whether there is a causal relationship between oscillatory circuit dynamics and attentional behavior in these thalamo-cortical circuits. By using rhythmic optogenetic stimulation in the ferret, we provide causal evidence that higher-order visual thalamus coordinates thalamo-cortical and cortico-cortical functional connectivity during sustained attention via spike-field phase locking. Increasing theta but not alpha power in the thalamus improved accuracy and reduced omission rates in a sustained attention task. Further, the enhancement of effective connectivity by stimulation was correlated with improved behavioral performance. Our work demonstrates a potential circuit-level causal mechanism for how the higher-order visual thalamus modulates cortical communication through rhythmic synchronization during sustained attention.
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Affiliation(s)
- Wei A Huang
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC 27599, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Zhe C Zhou
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC 27599, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Iain M Stitt
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Nivetha S Ramasamy
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Susanne Radtke-Schuller
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Flavio Frohlich
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC 27599, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC 27599, USA.
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Huang WA, Stitt IM, Negahbani E, Passey DJ, Ahn S, Davey M, Dannhauer M, Doan TT, Hoover AC, Peterchev AV, Radtke-Schuller S, Fröhlich F. Transcranial alternating current stimulation entrains alpha oscillations by preferential phase synchronization of fast-spiking cortical neurons to stimulation waveform. Nat Commun 2021; 12:3151. [PMID: 34035240 PMCID: PMC8149416 DOI: 10.1038/s41467-021-23021-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 03/24/2021] [Indexed: 12/12/2022] Open
Abstract
Computational modeling and human studies suggest that transcranial alternating current stimulation (tACS) modulates alpha oscillations by entrainment. Yet, a direct examination of how tACS interacts with neuronal spiking activity that gives rise to the alpha oscillation in the thalamo-cortical system has been lacking. Here, we demonstrate how tACS entrains endogenous alpha oscillations in head-fixed awake ferrets. We first show that endogenous alpha oscillations in the posterior parietal cortex drive the primary visual cortex and the higher-order visual thalamus. Spike-field coherence is largest for the alpha frequency band, and presumed fast-spiking inhibitory interneurons exhibit strongest coupling to this oscillation. We then apply alpha-tACS that results in a field strength comparable to what is commonly used in humans (<0.5 mV/mm). Both in these ferret experiments and in a computational model of the thalamo-cortical system, tACS entrains alpha oscillations by following the theoretically predicted Arnold tongue. Intriguingly, the fast-spiking inhibitory interneurons exhibit a stronger entrainment response to tACS in both the ferret experiments and the computational model, likely due to their stronger endogenous coupling to the alpha oscillation. Our findings demonstrate the in vivo mechanism of action for the modulation of the alpha oscillation by tACS.
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Affiliation(s)
- Wei A Huang
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA
- Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA
| | - Iain M Stitt
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA
| | - Ehsan Negahbani
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA
| | - D J Passey
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA
- Department of Mathematics, University of North Carolina, Chapel Hill, NC, USA
| | - Sangtae Ahn
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA
- School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea
| | - Marshall Davey
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA
| | - Moritz Dannhauer
- Department of Psychiatry and Behavioral Science, Duke University, Durham, NC, USA
| | - Thien T Doan
- Department of Psychiatry and Behavioral Science, Duke University, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Anna C Hoover
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Angel V Peterchev
- Department of Psychiatry and Behavioral Science, Duke University, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
- Department of Neurosurgery, Duke University, Durham, NC, USA
| | - Susanne Radtke-Schuller
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA
| | - Flavio Fröhlich
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
- Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA.
- Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA.
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, USA.
- Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA.
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA.
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Abstract
The four dye fluorescence detection strategy is a widely used approach to automated DNA sequence analysis. An important aspect of data processing in this approach is the multicomponent analysis to deduce the concentrations of four fluorophores from fluorescence emission intensities at four different wavelengths. This requires knowledge of the correct transformation matrix M. The matrix M is a function both of the fluorophores employed and the fluorescence detection system. M is typically determined either by a calibration process with individual dyes, or by choosing four well-separated individual peaks corresponding to the four different dyes. Both are time-consuming and complicated procedures for routine use. An automatic scheme for finding M directly from raw sequence data is presented here. This facilitates data analysis and the underlying algorithm may also find utility in other multispectral applications.
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Affiliation(s)
- Z Yin
- Biophysics Graduate Program, University of Wisconsin-Madison 53706-1396, USA.
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