Computational modeling of distinct neocortical oscillations driven by cell-type selective optogenetic drive: separable resonant circuits controlled by low-threshold spiking and fast-spiking interneurons
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作者:
Vierling-Claassen, Dorea
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Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USAMassachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
Vierling-Claassen, Dorea
[1
,2
]
Cardin, Jessica A.
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Yale Univ, Sch Med, Dept Neurobiol, New Haven, CT USAMassachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
Cardin, Jessica A.
[3
]
Moore, Christopher I.
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MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USAMassachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
Moore, Christopher I.
[2
]
Jones, Stephanie R.
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Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USAMassachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
Jones, Stephanie R.
[1
]
机构:
[1] Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
[2] MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
[3] Yale Univ, Sch Med, Dept Neurobiol, New Haven, CT USA
Selective optogenetic drive of fast-spiking (FS) interneurons (INs) leads to enhanced local field potential (LFP) power across the traditional "gamma" frequency band (20-80 Hz; Cardin et al., 2009). In contrast, drive to regular-spiking (RS) pyramidal cells enhances power at lower frequencies, with a peak at 8 Hz. The first result is consistent with previous computational studies emphasizing the role of FS and the time constant of GABA(A) synaptic inhibition in gamma rhythmicity. However, the same theoretical models do not typically predict low-frequency LFP enhancement with RS drive. To develop hypotheses as to how the same network can support these contrasting behaviors, we constructed a biophysically principled network model of primary somatosensory neocortex containing FS, RS, and low-threshold spiking (LTS) INs. Cells were modeled with detailed cell anatomy and physiology, multiple dendritic compartments, and included active somatic and dendritic ionic currents. Consistent with prior studies, the model demonstrated gamma resonance during FS drive, dependent on the time constant of GABA(A) inhibition induced by synchronous FS activity. Lower-frequency enhancement during RS drive was replicated only on inclusion of an inhibitory LTS population, whose activation was critically dependent on RS synchrony and evoked longer-lasting inhibition. Our results predict that differential recruitment of FS and LTS inhibitory populations is essential to the observed cortical dynamics and may provide a means for amplifying the natural expression of distinct oscillations in normal cortical processing.
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MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Univ Penn, Dept Neurosci, Philadelphia, PA 19104 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Cardin, Jessica A.
Carlen, Marie
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MIT, Picower Inst Learning & Memory, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
Broad Inst Harvard & Massachusetts Inst Technol, Stanley Ctr Psychiat Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Carlen, Marie
Meletis, Konstantinos
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MIT, Picower Inst Learning & Memory, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
Broad Inst Harvard & Massachusetts Inst Technol, Stanley Ctr Psychiat Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Meletis, Konstantinos
Knoblich, Ulf
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MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Knoblich, Ulf
Zhang, Feng
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Stanford Univ, Dept Bioengn, Stanford, CA 94305 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Zhang, Feng
Deisseroth, Karl
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Stanford Univ, Dept Bioengn, Stanford, CA 94305 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Deisseroth, Karl
Tsai, Li-Huei
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MIT, Picower Inst Learning & Memory, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
Broad Inst Harvard & Massachusetts Inst Technol, Stanley Ctr Psychiat Res, Cambridge, MA 02139 USA
Howard Hughes Med Inst, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Tsai, Li-Huei
Moore, Christopher I.
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MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
机构:
MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Univ Penn, Dept Neurosci, Philadelphia, PA 19104 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Cardin, Jessica A.
Carlen, Marie
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机构:
MIT, Picower Inst Learning & Memory, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
Broad Inst Harvard & Massachusetts Inst Technol, Stanley Ctr Psychiat Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Carlen, Marie
Meletis, Konstantinos
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机构:
MIT, Picower Inst Learning & Memory, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
Broad Inst Harvard & Massachusetts Inst Technol, Stanley Ctr Psychiat Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Meletis, Konstantinos
Knoblich, Ulf
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机构:
MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Knoblich, Ulf
Zhang, Feng
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机构:
Stanford Univ, Dept Bioengn, Stanford, CA 94305 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Zhang, Feng
Deisseroth, Karl
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机构:
Stanford Univ, Dept Bioengn, Stanford, CA 94305 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Deisseroth, Karl
Tsai, Li-Huei
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机构:
MIT, Picower Inst Learning & Memory, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
Broad Inst Harvard & Massachusetts Inst Technol, Stanley Ctr Psychiat Res, Cambridge, MA 02139 USA
Howard Hughes Med Inst, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA
Tsai, Li-Huei
Moore, Christopher I.
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机构:
MIT, McGovern Inst Brain Res, Cambridge, MA 02139 USAMIT, McGovern Inst Brain Res, Cambridge, MA 02139 USA