| Literature DB >> 31079238 |
Paul J Fitzgerald1, Brendon O Watson2.
Abstract
Antidepressant drugs are a standard biological treatment for various neuropsychiatric disorders, yet relatively little is known about their electrophysiologic and synaptic effects on mood systems that set moment-to-moment emotional tone. In vivo electrical recording of local field potentials (LFPs) and single neuron spiking has been crucial for elucidating important details of neural processing and control in many other systems, and yet electrical approaches have not been broadly applied to the actions of antidepressants on mood-related circuits. Here we review the literature encompassing electrophysiologic effects of antidepressants in animals, including studies that examine older drugs, and extending to more recently synthesized novel compounds, as well as rapidly acting antidepressants. The existing studies on neuromodulator-based drugs have focused on recording in the brainstem nuclei, with much less known about their effects on prefrontal or sensory cortex. Studies on neuromodulatory drugs have moreover focused on single unit firing patterns with less emphasis on LFPs, whereas the rapidly acting antidepressant literature shows the opposite trend. In a synthesis of this information, we hypothesize that all classes of antidepressants could have common final effects on limbic circuitry. Whereas NMDA receptor blockade may induce a high powered gamma oscillatory state via direct and fast alteration of glutamatergic systems in mood-related circuits, neuromodulatory antidepressants may induce similar effects over slower timescales, corresponding with the timecourse of response in patients, while resetting synaptic excitatory versus inhibitory signaling to a normal level. Thus, gamma signaling may provide a biomarker (or "neural readout") of the therapeutic effects of all classes of antidepressants.Entities:
Keywords: Gamma oscillations; Ketamine; MAOi; SNRI; SSRI; Tricyclic
Mesh:
Substances:
Year: 2019 PMID: 31079238 PMCID: PMC6584243 DOI: 10.1007/s00221-019-05556-5
Source DB: PubMed Journal: Exp Brain Res ISSN: 0014-4819 Impact factor: 1.972
Summary of in vivo electrophysiology mean firing rate data
| Drug class | Drug | DRN | LC | VTA | Subst nigra | Globus pallidus | HC | mPFC | OFC |
|---|---|---|---|---|---|---|---|---|---|
| SSRIs | Acute escitalopram | ↓ | ↓ | ↕↔ | |||||
| Chronic escitalopram | ↓↔ | ↓ | ↓ | ↑ | |||||
| Acute citalopram | ↓ | ↔ | ↔ | ↔ | |||||
| Chronic citalopram | ↓↔ | ↑↔ | ↔ | ↑ | |||||
| Acute paroxetine | ↓ | ↔ | ↑ | ↔ | ↓ | ||||
| Chronic paroxetine | ↔ | ↑ | ↔ | ||||||
| Acute fluoxetine | ↓ | ↔ | ↑↔ | ↑↔ | ↑ | ↔ | |||
| Chronic fluoxetine | ↓↔ | ↓ | ↑ | ↔ | ↓ | ||||
| SNRIs | Acute venlafaxine | ↓ | ↓ | ↓ | |||||
| Chronic venlafaxine | ↔ | ↓ | |||||||
| Acute duloxetine | ↓ | ↓ | |||||||
| Chronic duloxetine | ↔ | ||||||||
| TCAs | Acute desipramine | ↓ | ↔ | ↔ | ↓ | ↑ | |||
| Chronic desipramine | ↓↔ | ↑ | ↑ | ||||||
| Acute imipramine | ↓ | ||||||||
| Chronic Imipramine | ↓ | ||||||||
| Acute chlomipramine | ↓ | ||||||||
| MAOIs | Acute clorgyline | ↔ | |||||||
| Chronic clorgyline | ↓ | ||||||||
| Acute deprenyl | ↔ | ||||||||
| Chronic deprenyl | ↔ | ||||||||
| Acute phenelzine | ↔ | ||||||||
| Chronic phenelzine | ↓ | ||||||||
| NDRIs | Acute bupropion | ↑↔ | ↓ | ↓↔ | ↓ | ||||
| Chronic bupropion | ↑ | ↓↔ | ↔ | ||||||
| Misc | Acute trazodone | ↓ | ↑ | ||||||
| Chronic trazodone | ↔ | ||||||||
| Acute mirtazapine | ↑↔ | ↑ | |||||||
| Chronic mirtazapine | ↑ | ↑ | |||||||
| Acute ritanserin | ↑↔ | ↑↔ | ↓ | ||||||
| Acute reboxetine | ↑ | ↔ | |||||||
| Novel | Acute vortioxetine | ↓ | |||||||
| Chronic vortioxetine | ↔ | ||||||||
| Acute F15599 | ↓ | ↑ | |||||||
| Acute cericlamine | ↓ | ||||||||
| Chronic cericlamine | ↔ | ||||||||
| Acute Wf-516 | ↓ | ||||||||
| Acute SB-649915-B | ↔ | ||||||||
| Acute flesinoxan | ↓ | ↓ | |||||||
| Acute nisoxetine | ↑ | ↑ | |||||||
| Acute spadin | ↑ | ||||||||
| Acute CP-96,345 | ↑↔ | ↔ | |||||||
| Chronic CP-96,345 | ↑ | ||||||||
| Acute CP-99,994 | ↔ | ||||||||
| Chronic CP-99,994 | ↔ | ||||||||
| Acute L-760735 | ↑ | ||||||||
Acute harmane | ↓ | ||||||||
| Acute befloxatone | ↓ | ||||||||
| Chronic befloxatone | ↔ | ||||||||
Acute carisbamate | ↓ | ↔ | ↔ | ||||||
| Chronic carisbamate | ↓ | ↓ | ↓ | ||||||
Acute SEP-225289 | ↓ | ↓ | ↓ | ||||||
Acute DOV216303 | ↓ | ↓ | ↓ | ||||||
Acute Pindolol | ↓ | ↓ | |||||||
Acute nomifensine | ↓ | ||||||||
| NMDAR antag | Acute MK-801 | ↓ | ↑ | ↑ | ↕↔ | ↑ | |||
Acute PCP | ↓ | ↑ | ↑ | ||||||
| Acute ketamine | ↔ | ↑ | ↑↔ | ↑ |
Arrows indicate an increase (↑) in neuronal population mean firing rate, decrease (↓), or no change (↔), found in at least one study. Chronic includes 5 days or more; acute includes 1 and 2 day treatments as well as single injections. Table does not include studies where 5-HT or NE was microinfused in dorsal hippocampal CA3 and firing rates were modulated by one of these antidepressants, or other drug interaction studies. Only includes wild type animals and systemically administered drugs. Table does not include LTP/LTD information
DRN dorsal raphe nucleus, LC locus coeruleus, VTA ventral tegmental area, Subst nigra substantia nigra, mPFC medial prefrontal cortex, OFC orbitofrontal cortex, HC hippocampus
Summary of in vivo local field potential (LFP) data
| Drug class | Drug | Subst nigra | Amygd | Thalms | Nuc acmb | HC | mPFC | OFC | Mot cortx | Sens cortx |
|---|---|---|---|---|---|---|---|---|---|---|
| SSRIs | Acute escitalopram | ↔Alpha, theta, gamma | ||||||||
| Acute citalopram | ↓Gamma | |||||||||
| Acute fluvoxamine | ↔Theta, gamma | |||||||||
| SNRIs | Acute duloxetine | ↔Theta, gamma, ↓alpha | ||||||||
| TCAs | Acute desipramine | ↑Theta, ↑gamma (trend) | ||||||||
| MAOIs | Acute moclobemide | ↓All freq | ↓All freq | |||||||
| NDRIs | Chronic bupropion | ↑Beta, delta, theta | ||||||||
| Misc | Acute reboxetine | ↑Theta, gamma | ||||||||
| Novel | Acute vortioxetine | ↑Theta, alpha, gamma | ||||||||
| Acute F15599 | ↔Delta | |||||||||
| Acute Zembrin | ↓Alpha, beta, delta, theta | |||||||||
| NMDAR antag | Acute MK-801 | ↑Delta, theta, ↔alpha, ↓beta, gamma | ↑Delta, ↕theta, ↔alpha, ↓beta, gamma | ↑hfo, ↕gamma, ↓delta | ↑hfo, ↕gamma, theta, ↔delta, alpha, beta | ↑hfo, ↑gamma, disrupts delta | ↑Gamma | ↑hfo, gamma | ||
Acute PCP | ↔All freq | ↓Delta | ||||||||
| Acute ketamine | ↑hfo, gamma | ↑hfo, gamma | ↑hfo, ↕gamma, ↓theta, ↕delta, ↓alpha | ↑Gamma, ↓theta | ↓Unspecified freq | ↑gamma, delta | ||||
| Chronic ketamine | ↓gamma |
Arrows indicate an increase (↑) in LFP power (averaged across all animals) in that frequency band, decrease (↓), or no change (↔), found in at least one study. Chronic includes 5 days or more; acute includes 1 and 2 day treatments as well as single injections. Table does not include drug interaction studies. Only includes wild type animals and systemically administered drugs. Only invasive, intracranial LFP recordings are shown, not skull surface recordings
Abbreviations (see Table 1 legend as well): Amygd amygdala, Thalms thalamus, Nuc acmb nucleus accumbens, Mot cortx motor cortex, Sens cortx sensory cortex
Fig. 1Major conclusions (or working hypotheses) from these studies. a Most antidepressants acutely dampen action potential firing in monoaminergic brainstem nuclei due to somatodendritic autoreceptor mediated inhibition, which typically desensitizes upon chronic drug administration. b The NMDAR antagonists ketamine and MK-801 acutely enhance the power of gamma and high frequency voltage oscillations in a variety of brain regions