Abstract
Depression is a highly heterogeneous disease characterized by symptoms spanning from anhedonia and behavioral despair to social withdrawal and learning deficit. Such diversity of behavioral phenotypes suggests that discrete neural circuits may underlie precise aspects of the disease, rendering its treatment an unmet challenge for modern neuroscience. Evidence from humans and animal models indicate that the lateral habenula (LHb), an epithalamic center devoted to processing aversive stimuli, is aberrantly affected during depression. This raises the hypothesis that rescuing maladaptations within this nucleus may be a potential way to, at least partially, treat aspects of mood disorders. In this review article, we will discuss pre-clinical and clinical evidence highlighting the role of LHb and its cellular adaptations in depression. We will then describe interventional approaches aiming to rescue LHb dysfunction and ultimately ameliorate depressive symptoms. Altogether, we aim to merge the mechanistic-, circuit-, and behavioral-level knowledge obtained about LHb maladaptations in depression to build a general framework that might prove valuable for potential therapeutic interventions.
Introduction
Depression is a mental condition with a long-standing history. Already during the ancient Greek period, Hippocrates described “Melancholia” as a condition associated with “aversion to food, despondency, sleeplessness, irritability, restlessness.” Nowadays, the Diagnostic and Statistical manual of Mental disorders (DSM) defines major depression as a condition with persistent, unreactive low mood and a loss of interest in pleasure (). Such symptoms often occur in parallel with significant weight loss, sleep and psychomotor disturbances, fatigue and, in certain cases, recurrent thoughts of death or suicide. Despite the large prevalence of this disorder in our society, the pharmacological tools available are only moderately efficient. Indeed, approximately a third of treated patients report remission after the first attempt of antidepressant treatment (; ). In this review, we will discuss the available therapeutic interventions, their limitations, and finally the newest avenues suggested by recent pre-clinical findings.
Serendipity or Goal-Directed Studies: Depression Treatment
Drugs to treat depression were discovered serendipitously in the 1950s with the findings that the antitubercular agent iproniazid [a monoamine oxidase inhibitor (MAOI)] and imipramine [tricyclic antidepressant (TCA)] arising from antihistamine research, partly ameliorated depressive symptoms (; ). Mechanistically, MAOI inhibits the breakdown of serotonin (5HT), noradrenaline (NA), and dopamine (DA) thereby increasing the bioavailability of such neuromodulators. On the other hand, TCAs increase the synaptic concentration of 5HT and NA by inhibiting their reuptake. These findings led to the postulation of a monoaminergic theory of depression, and to the proposal that 5HT, NA, and DA neurotransmission are neurobiological substrates for the pathophysiology of this disorder (; ; ). This theory was the basis of the development of new classes of antidepressants aiming to normalize monoaminergic deficits. Among these molecules, the selective 5HT-, NA-, and/or DA-reuptake inhibitors such as citalopram or fluoxetine are, still nowadays, among the most prescribed antidepressants (). These modern molecules present less deleterious secondary responses than their first-generation counterparts (i.e., MAOI and TCAs), yet they still show slow onset of their clinical effect and, importantly, low efficacy in many patients (Figure 1) ().
FIGURE 1
Given the limited success of such drugs to treat depression, alternative strategies have been explored and often prescribed to patients resistant to pharmacological interventions. Electroconvulsive therapy (ECT) promoted remission from depressive symptoms in about 75% of pharmaco-resistant individuals with the advantage of having immediate effects (). Deep brain stimulation (DBS) of the prefrontal cortex (), nucleus accumbens () or more recently the lateral habenula (LHb; ) also ameliorated the symptomatology of drug-resistant depressed patients. However, despite their promising therapeutic value, these studies remain preliminary with their mechanisms of action being still enigmatic.
Altogether, this heightens the need for a more rational way forward, to clarify the pathophysiology of depression and ultimately refine therapeutic interventions. This especially requires a better knowledge of the cellular adaptations within discrete neuronal circuits during the emergence and progression of depressive symptoms.
Out-Of-Sync Habenular Activity in Depression
A series of human studies raised awareness about the contribution of the LHb – a brain center regulating motivational states and aversive encoding – in mood disorders, opening new possibilities for therapeutic interventions. Volumetric analysis in humans revealed an interaction between LHb alterations, gender and the severity of depressive symptoms (; ; ). Furthermore, positron emission tomography unveiled altered metabolic activity of the habenular complex in patients experiencing transient depression upon tryptophan depletion (). Functional imaging data indicated that, compared to healthy individuals, depressed patients are less accurate in their expectations regarding objective outcomes, a phenomenon that occurs with concomitant adaptations in habenular activity (). Intriguingly, individuals with major depressive disorders present abnormal habenular activation during the presentation of aversive stimuli and their predictors (). Finally, a seminal single case study reported successful remission from pharmaco-resistant depression after targeting the LHb with local delivery of high frequency stimulation (). Altogether, these clinical results point to the general idea that dysfunction of the LHb can be instrumental in the depressive state.
Consistent with such clinical evidence indicating LHb dysfunction in depression, pre-clinical studies also described increased metabolic activity in rodent models of depression (; ). In addition, enhanced LHb firing activity was reported in congenital learned helplessness (LH) rats, a selective breed of animals displaying depressive-like behaviors (, ). The use of alternative animal models recapitulating stress-driven depressive-like phenotypes, including maternal separation, inescapable footshock and restraint stress, reproduced a similar increase of LHb neuronal firing (; ; ; ; Yang et al., 2018). This drew a general picture in which insults of different nature not only commonly contribute to the emergence of depressive-like states, but also concomitantly lead to LHb over-activity.
One aspect that remains elusive is whether such stressors instigate hyperactivity of distinct neuronal populations within the LHb, potentially representing an ensemble-specific susceptibility. The use of state-of-the-art technologies such as mini-scopes, to measure activity of large neuronal ensembles, may provide a tool to identify groups of neurons engaged by different stressors for the induction and maintenance of the depressive state. Such information is relevant especially from a circuit standpoint. Indeed, LHb neurons send their axons to structures including the ventral tegmental area (VTA), the rostromedial tegmental nucleus and the dorsal raphe nucleus (dRN) (), all contributing to motivational states and depressive symptoms. While some studies infer that depression-driven LHb neuronal over-activity occurs virtually throughout the LHb (; ; ), others suggest instead a certain output specificity (; ). Future studies will require to understand the repercussions that habenular over-activity has on downstream neuronal populations, and specifically on monoaminergic cells such as DA and 5HT neurons ().
Lateral habenula neurons fire action potentials with tonic, irregular, or bursty patterns (; Yang et al., 2018). Recent evidence reported that increased bursting activity in LHb neurons in vivo is instrumental for depression. Notably, restoring such abnormal firing pattern using genetic and pharmacological approaches ameliorated depressive-like symptoms (; ). Additional studies reported that tonic firing also increased in animal models of depression, and not solely bursting (, ; ; ; ). One reason that may explain this discrepancy is that the latter recordings were often obtained in acute brain slices, which may affect the tonic to burst-firing ratio in LHb neurons. An obvious solution to this caveat is to monitor LHb neuronal activity over time by performing multiunit in vivo electrophysiology in behaving animals (Yang et al., 2018). This will allow to assess how the biophysical properties of LHb neuronal populations change during depressive states, although its achievement is not trivial.
A parallel consideration that deserves attention regards the behavioral analyses so far employed to define depressive-like symptoms. Much of the work that has been acknowledged throughout this review quantified behaviors including despair or anhedonia, using tests such as the porsolt forced swim test, the tail suspension test, the shuttle box test or the sucrose preference test (; ). Depression is characterized by a multitude of symptoms, and it is possible that distinct neuronal circuits control very precise behavioral traits. Therefore, the possibility of having missed important information when employing such “classical” behavioral readouts is omnipresent. To circumvent this issue, the field may take advantage of computational analysis aiming at decomposing complex behaviors into simple configurations (Wiltschko et al., 2015). This strategy may turn out to be valuable in assigning a given circuit dysfunction, or even a specific cellular adaptation, to a discrete behavioral pattern. In parallel, developing behaviors with increased face-validity for the human condition is as well an important challenge. Recent efforts are providing a new generation of behavioral tasks with translational potential and validity across species thereby opening new avenues for a better assessment of human traits when using animal studies ().
New Targets and Approaches Suitable for Depression Therapeutics
Identified inputs into the LHb such as the entopeduncular nucleus of the basal ganglia, the VTA, the hypothalamic nuclei, and the ventral pallidum are instrumental for aversive behaviors indicating the sufficiency of habenular circuits for negative motivational states (; ; ; ; ). In parallel, a series of articles demonstrated that some of these synaptic inputs undergo modifications leading to LHb hyperactivity and ultimately trigger depressive symptoms (; ; ). Can such pre-clinical results be at the basis of groundbreaking innovations for antidepressant treatments?
Pharmacological interventions and currently emerging alternative strategies present advantages and disadvantages. To be appropriately designed, both require a profound knowledge of the molecular mechanisms governing the interplay between defined circuits. Pharmacology has been proven efficient in many instances, but is often accompanied by a plethora of secondary effects and inter-individual variability in terms of efficacy. On the other hand, strategies such as DBS have been exploited to restore neuronal defects at the circuit level. Indeed, DBS stimulation protocols aiming to restore baseline synaptic transmission between interconnected brain regions were efficient in normalizing behavioral adaptations in pathological contexts (). In the following paragraphs, we will summarize the latest advances in restoring LHb neuronal function and present new ideas for potential therapeutic interventions in depression.
LHb-Targeted Deep Brain Stimulation
Deep brain stimulation as well as transcranial magnetic stimulation (TMS) are currently largely exploited FDA-approved interventions to modulate brain circuitries in pharmaco-resistant depressed patients. Contrary to TMS, efficient in modulating the activity of surface brain structures such as the cortex (), DBS is based on the local implantation of electrodes in deep brain areas through which high-frequency electrical currents are applied (). This allows to challenge the function of presynaptic terminals as well as somata, with the drawback of being non-specific at the cellular and wiring level.
A seminal work in humans employed DBS in the LHb of a patient with pharmaco-resistant depression in order to reduce the neuronal hyperactivity within this nucleus (). Indeed, DBS of the LHb could alleviate depressive symptoms, with interruption of the stimulation rapidly leading to the recurrence of depressive periods. This became a breakthrough in the field, highlighting the relevant contribution of the LHb to the human condition. However, the community was left with no evidence regarding how such stimulation was effective, which neuronal circuits were targeted and whether or not this would exert negative effects.
Several studies offered a mechanistic explanation for the efficiency of LHb-targeted DBS protocols. One used congenital and acute LH models of depression to describe an increased AMPAR-mediated excitatory drive onto VTA-projecting LHb neurons during depression (). The mechanism underlying this effect involved an increased probability of glutamate release from the axon terminals converging onto this habenular subpopulation. Importantly, when a DBS protocol adapted from human application was applied in the LHb of LH rats, this led to a rapid presynaptic reduction in glutamate release and ameliorated their depressive-like symptoms. These seminal data suggested, for the first time, a potential link between a depressive phenotype and a circuit maladaptation within the LHb. A subsequent study used a similar DBS approach to rescue depressive-like phenotypes emerging after early-life stress (). A thorough physiological analysis demonstrated that LHb-DBS application reduced presynaptic glutamate release and promoted neuronal hyperpolarization, thereby diminishing the output firing of habenular neurons. Finally, DBS can also trigger complex LHb-specific intracellular processes including phosphorylation of CaMKIIα/β, and GSK3α/β that could eventually contribute to the antidepressant actions of this intervention (). These findings not only corroborated the efficiency of the DBS approach for ameliorating depressive phenotypes, but also established the causality between LHb overactivity and depressive states. It is important to state, however, that the underlying mechanisms leading to LHb hyperactivity in the LH and the maternal separation models of depression are different. While the former occurs along with potentiation of AMPA-R-mediated transmission, the latter requires a reduction in GABAB-R-mediated signaling (i.e., two alternatives ways by which neurons become hyper-excitable). This raises the intriguing possibility that DBS is not rescuing the molecular phenotype itself, but that it is rather acting directly on the firing of LHb neurons (Figure 1).
The success of these pre-clinical studies in advancing the mechanistic knowledge about DBS efficiency in the LHb raised a number of issues that need to be clarified before this approach can be fully applied in the clinic. Firstly, the mechanisms underlying the effects of DBS are not fully understood. Additional research is necessary to evaluate whether all pre-clinical models of depression are responsive to DBS treatment. Another aspect is the inherent hijacking that occurs at the circuit level as a consequence of the DBS application. DBS-driven silencing of LHb neurons will likely influence a large neuronal population around the electrode implant. Do these neurons project to different targets? How do such LHb neurons influence their activity? A potential way to circumvent this issue is to employ the latest viral technology such as retrograde adeno-associated or Cav2-cre viral vectors enabling researchers to perform projection-specific mapping. These remain fundamental questions to address, as the LHb controls monoaminergic centers regulating affection and motivation.
Bearing in mind the limitations of the DBS approach for the rescue of depressive symptoms in humans, pre-clinical studies have tried to find alternative strategies with potential face validity. Along the lines of DBS stimulation, viral expression and activation of inhibitory DREADDs solely in LHb neurons, similarly reduced neuronal activity and ameliorated the depressive-like symptoms in a mouse model of depression (). An intriguing scenario arising from this finding is the potential use of DREADD technology in humans, which would allow clinicians to bypass the invasive nature of DBS implants. However, two major obstacles challenge this idea: (i) the development of a gene therapy technology allowing cell type-specific expression of DREADDs in the human brain, which is still far from being accomplished, and (ii) the use of the DREADD ligand clozapine-N-oxide (CNO), which has been claimed to exert various side effects as it is metabolized to clozapine (; Urban and Roth, 2015). Additionally, overexpression of GIRK channels is sufficient to prevent stress-driven adaptations in LHb neurons as well as to ameliorate depressive-like phenotypes (). Thus, provided the efficient development of gene therapy in the forthcoming future, the overexpression of endogenous channels responsible for neuronal hyperpolarization (e.g., K+ channels) may represent a potential strategy to overcome the pharmacological drawbacks of CNO and the lack of circuit specificity of DBS.
Drugging LHb to Ameliorate Depressive Symptoms
Antidepressants that currently dominate the market mainly target monoaminergic neurotransmission. However, such treatments are only efficient in a third of the patients with depression (), leaving the remaining individuals vulnerable to safety and tolerability issues (). This defines the demand for mechanistically novel therapeutic interventions as a research priority. Related to this, recent work identified several “druggable” targets in the LHb that may prove useful in order to develop a new generation of antidepressants (Figure 1).
Recent evidence indicate that mice exposed to acute and prolonged stressors developed depressive phenotypes via protein phosphatase 2 (PP2A)-dependent GABAB-R-GIRK complex internalization, which in turn led to LHb hyperexcitability. Remarkably, systemic or local inhibition of PP2A activity rescued GABAB-R-GIRK function, neuronal hyperactivity, and depressive phenotypes. This represents the first neurobiological use of a membrane-permeable PP2A inhibitor (LB-100) able to cross the blood–brain barrier, raising the clinical potential of this compound. Several arguments, however, should reduce the enthusiasm around this idea. It is questionable whether PP2A function would be selective for the LHb, raising the issue of secondary effects, especially given that the phosphatase is ubiquitous (Wlodarchak and Xing, 2016). This is relevant since the PP2A-dependent control of GABAB-R-GIRK signaling occurs in other brain structures including the VTA and the cortex (). A promising indication, however, is that increased levels of PP2A mostly occur in pathological conditions (e.g., addiction and depression), thereby supporting the notion that the use of such inhibitor at a correct dose may not have major negative consequences. Certainly, more pre-clinical data are needed to corroborate the potential of this molecule by using different animal models and studying its effects on different depressive-like symptoms.
Other targets have also been highlighted. Two recent studies (; Yang et al., 2018) described increased bursting activity in LHb neurons of congenital LH rats, a phenotype requiring NMDA-Rs, low-voltage-sensitive T-type calcium channels (T-VSCCs) and the upregulation of the astroglial potassium channel Kir 4.1. These results point to a variety of channels that might represent viable targets for antidepressants. For example, antagonizing T-VSCCs via the commercially available antiepileptic compound ethosuximide could diminish bursting activity within the LHb, subsequently ameliorating depressive-like phenotypes. More pre-clinical studies are necessary to rule out eventual secondary effects, as these channels are fundamental for the firing properties of numerous neuronal populations ().
Another molecule that is attracting a great deal of attention primarily in the context of mood disorders is ketamine. Defined as a NMDA-R inhibitor, ketamine represents a rapidly acting antidepressant proposed for the treatment of major depression, although its mechanisms of action remain debated and obscure (Zanos et al., 2016). Yang et al. (2018) found that infusion of ketamine into the LHb was sufficient to ameliorate depressive-like symptoms in LH rats. These findings suggest that the therapeutic actions of ketamine might emerge, at least partly, via the reduction of firing and especially bursting of LHb neurons. Whether the negative effects of ketamine (i.e., psychotic state) are linked to different neuronal circuits or to the LHb remains to be established.
Finally, raised the possibility of targeting astroglial K+ channels as an antidepressant treatment. In this work, an unbiased proteomic analysis identified the upregulation of the astrocytic Kir4.1 channel in the LHb of LH rats. Physiological assessment and viral-based approaches causally linked the increased levels of Kir4.1 with the LHb neuronal hyperactivity and the eventual establishment of the depressive state. Hence, this work highlights that the functional modulation of glial cells within the LHb may represent an interventional approach to treat depression. One of the major breakthroughs of this study is the description that Kir4.1 is solely expressed in astrocytes, thereby suggesting that its pharmacological targeting would spare neurons. However, how acting on such channels throughout the brain will affect K+ homeostasis and thus neuronal excitability is a crucial point that needs careful evaluation.
The same proteomic approach revealed that Kir4.1 was not the only protein overexpressed in depressed rats. Indeed the neuronal bCamKII levels were shown to be significantly higher in the LHb of LH rats compared to their control counterparts (). LHb-restricted genetic manipulations of bCamKII, together with physiological approaches, ultimately indicated that reducing its levels rescued the LHb overactivity and ameliorated the depressive symptoms.
Altogether, these data argue that a variety of manipulations affecting the activity of LHb neurons either directly or indirectly through astrocytes (, ) might be efficacious in rescuing depressive-like phenotypes. Considerable efforts will be necessary to clarify the hierarchical sequence of events that are responsible for aberrant LHb activity in depression. This is crucial for a field that aims to provide solid, reproducible pre-clinical data to design modern interventions capable of treating different aspects of mood disorders, ultimately ameliorating the human condition.
Concluding Remarks
The majority of the studies reported here examined tonic activity of LHb in the context of depression. Yet LHb neurons physiologically permit the encoding of aversive stimuli and their predictors, mediating innate and learned behavioral responses (). It remains however unclear how the depressive state mechanistically affects such primary encoding. Evidence exist suggesting that this is the case in humans, but pre-clinical studies have now the opportunity to unravel the circuit and cellular underpinning of this process (; ).
The clinical studies discussed in this review suggest that targeting the LHb with DBS supports its therapeutic potential, however less clear is the efficacy of pharmacological strategies acting at the level of this nucleus to treat depression. Although the data presented above are exciting, the sole molecule close to have a valuable societal impact is ketamine, despite its dark side. Advancing our knowledge of potential treatments targeting the LHb requires synergistic action from both fundamental and clinical neuroscience. This can be obtained, for instance, by performing double-blind studies on a much larger cohort of patients to properly evaluate the clinical utility of LHb targeting in mood disorders. On the pharmacological front, drugs acting at identified targets within the LHb, and shown successful in rescuing cellular phenotypes, should be further evaluated for their efficiency in ameliorating depressive states in additional animal models and ultimately in humans. Such research line may overtime increase the armamentarium of clinically-relevant interventional approaches to treat discrete aspects of depression.
Statements
Author contributions
AN-P, AT, MM, and SL contributed to the writing of the manuscript.
Funding
This work was supported by the Canton Vaud, The Swiss National Science Fund (31003A) and The European Research Council Starting Grant SalienSy (335333) (MM).
Acknowledgments
We thank the entire Mameli laboratory for discussions and comments on the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AuthementM. E.LangloisL. D.ShepardR. D.BrowneC. A.LuckiI.KassisH.et al (2018). A role for corticotropin-releasing factor signaling in the lateral habenula and its modulation by early-life stress.Sci. Signal.11:eaan6480. 10.1126/scisignal.aan6480
2
BaghaiT. C.BlierP.BaldwinD. S.BauerM.GoodwinG. M.FountoulakisK. N.et al (2011). General and comparative efficacy and effectiveness of antidepressants in the acute treatment of depressive disorders: a report by the WPA section of pharmacopsychiatry.Eur. Arch. Psychiatry Clin. Neurosci.261(Suppl. 3), 207–245. 10.1007/s00406-011-0259-6
3
BunneyW. E.DavisJ. M. (1965). Norepinephrine in depressive reactions. A review.Arch. Gen. Psychiatry13483–494. 10.1001/archpsyc.1965.01730060001001
4
Caldecott-HazardS.MazziottaJ.PhelpsM. (1988). Cerebral correlates of depressed behavior in rats, visualized using 14C-2-deoxyglucose autoradiography.J. Neurosci.81951–1961. 10.1523/JNEUROSCI.08-06-01951.1988
5
Carceller-SindreuM.de Diego-AdeliñoJ.Serra-BlascoM.Vives-GilabertY.Martín-BlancoA.PuigdemontD.et al (2015). Volumetric MRI study of the habenula in first episode, recurrent and chronic major depression.Eur. Neuropsychopharmacol.252015–2021. 10.1016/j.euroneuro.2015.08.009
6
CuiW.MizukamiH.YanagisawaM.AidaT.NomuraM.IsomuraY.et al (2014). Glial dysfunction in the mouse habenula causes depressive-like behaviors and sleep disturbance.J. Neurosci.3416273–16285. 10.1523/JNEUROSCI.1465-14.2014
7
CuiY.YangY.NiZ.DongY.CaiG.FoncelleA.et al (2018). Astroglial Kir4.1 in the lateral habenula drives neuronal bursts in depression.Nature554323–327. 10.1038/nature25752
8
DandekarM. P.FenoyA. J.CarvalhoA. F.SoaresJ. C.QuevedoJ. (2018). Deep brain stimulation for treatment-resistant depression: an integrative review of preclinical and clinical findings and translational implications.Mol. Psychiatry231094–1112. 10.1038/mp.2018.2
9
Der-AvakianA.BarnesS. A.MarkouA.PizzagalliD. A. (2016). Translational assessment of reward and motivational deficits in psychiatric disorders.Curr. Top. Behav. Neurosci.28231–262. 10.1007/7854_2015_5004
10
DianaM.RaijT.MelisM.NummenmaaA.LeggioL.BonciA. (2017). Rehabilitating the addicted brain with transcranial magnetic stimulation.Nat. Rev. Neurosci.18685–693. 10.1038/nrn.2017.113
11
FurmanD. J.GotlibI. H. (2016). Habenula responses to potential and actual loss in major depression: preliminary evidence for lateralized dysfunction.Soc. Cogn. Affect. Neurosci.11843–851. 10.1093/scan/nsw019
12
HerkenhamM.NautaW. J. (1977). Afferent connections of the habenular nuclei in the rat. A horseradish peroxidase study, with a note on the fiber-of-passage problem.J. Comp. Neurol.173123–146. 10.1002/cne.901730107
13
HirschfeldR. M. (2000). Antidepressants in long-term therapy: a review of tricyclic antidepressants and selective serotonin reuptake inhibitors.Acta Psychiatr. Scand. Suppl.40335–38. 10.1111/j.1600-0447.2000.tb10946.x
14
HowlandR. H. (2008). Sequenced treatment alternatives to relieve depression (STAR∗D). Part 1: study design.J. Psychosoc. Nurs. Ment. Health Serv.4621–24. 10.3928/02793695-20081001-05
15
JannM. W. (1991). Clozapine.Pharmacotherapy11179–195.
16
KimY.MorathB.HuC.ByrneL. K.SutorS. L.FryeM. A.et al (2016). Antidepressant actions of lateral habenula deep brain stimulation differentially correlate with CaMKII/GSK3/AMPK signaling locally and in the infralimbic cortex.Behav. Brain Res.306170–177. 10.1016/j.bbr.2016.02.039
17
KnowlandD.LilascharoenV.PaciaC. P.ShinS.WangE. H.LimB. K.et al (2017). Distinct ventral pallidal neural populations mediate separate symptoms of depression.Cell170284–297. 10.1016/j.cell.2017.06.015
18
KuhnR. (1958). The treatment of depressive states with G 22355 (imipramine hydrochloride).Am. J. Psychiatry115459–464. 10.1176/ajp.115.5.459
19
LawsonR. P.NordC. L.SeymourB.ThomasD. L.DayanP.PillingS.et al (2017). Disrupted habenula function in major depression.Mol. Psychiatry22202–208. 10.1038/mp.2016.81
20
LeccaS.MeyeF. J.TruselM.TchenioA.HarrisJ.SchwarzM. K.et al (2017). Aversive stimuli drive hypothalamus-to-habenula excitation to promote escape behavior.eLife6:e30697. 10.7554/eLife.30697
21
LeccaS.PelosiA.TchenioA.MoutkineI.LujanR.HervéD.et al (2016). Rescue of GABAB and GIRK function in the lateral habenula by protein phosphatase 2A inhibition ameliorates depression-like phenotypes in mice.Nat. Med.22254–261. 10.1038/nm.4037
22
LiB.PirizJ.MirrioneM.ChungC.ProulxC. D.SchulzD.et al (2011). Synaptic potentiation onto habenula neurons in the learned helplessness model of depression.Nature470535–539. 10.1038/nature09742
23
LiK.ZhouT.LiaoL.YangZ.WongC.HennF.et al (2013). βCaMKII in lateral habenula mediates core symptoms of depression.Science3411016–1020. 10.1126/science.1240729
24
LoomerH. P.SaundersJ. C.KlineN. S. (1957). A clinical and pharmacodynamic evaluation of iproniazid as a psychic energizer.Psychiatr. Res. Rep. Am. Psychiatr. Assoc.8129–141.
25
LüscherC.PascoliV.CreedM. (2015). Optogenetic dissection of neural circuitry: from synaptic causalities to blue prints for novel treatments of behavioral diseases.Curr. Opin. Neurobiol.3595–100. 10.1016/j.conb.2015.07.005
26
MatsumotoM.HikosakaO. (2007). Lateral habenula as a source of negative reward signals in dopamine neurons.Nature4471111–1115. 10.1038/nature05860
27
MaybergH. S.LozanoA. M.VoonV.McNeelyH. E.SeminowiczD.HamaniC.et al (2005). Deep brain stimulation for treatment-resistant depression.Neuron45651–660. 10.1016/j.neuron.2005.02.014
28
MeyeF. J.Soiza-ReillyM.SmitT.DianaM. A.SchwarzM. K.MameliM. (2016). Shifted pallidal co-release of GABA and glutamate in habenula drives cocaine withdrawal and relapse.Nat. Neurosci.191019–1024. 10.1038/nn.4334
29
MeyeF. J.ValentinovaK.LeccaS.Marion-PollL.MaroteauxM. J.MusardoS.et al (2015). Cocaine-evoked negative symptoms require AMPA receptor trafficking in the lateral habenula.Nat. Neurosci.18376–378. 10.1038/nn.3923
30
MorrisJ. S.SmithK. A.CowenP. J.FristonK. J.DolanR. J. (1999). Covariation of activity in habenula and dorsal raphé nuclei following tryptophan depletion.Neuroimage10163–172. 10.1006/nimg.1999.0455
31
NanouE.CatterallW. A. (2018). Calcium channels, synaptic plasticity, and neuropsychiatric disease.Neuron98466–481. 10.1016/j.neuron.2018.03.017
32
O’LearyO. F.DinanT. G.CryanJ. F. (2015). Faster, better, stronger: towards new antidepressant therapeutic strategies.Eur. J. Pharmacol.75332–50. 10.1016/j.ejphar.2014.07.046
33
PadgettC. L.LaliveA. L.TanK. R.TerunumaM.MunozM. B.PangalosM. N.et al (2012). Methamphetamine-evoked depression of GABA(B) receptor signaling in GABA neurons of the VTA.Neuron73978–989. 10.1016/j.neuron.2011.12.031
34
RootD. H.Mejias-AponteC. A.ZhangS.WangH. L.HoffmanA. F.LupicaC. R.et al (2014). Single rodent mesohabenular axons release glutamate and GABA.Nat. Neurosci.171543–1551. 10.1038/nn.3823
35
SartoriusA.KieningK. L.KirschP.von GallC. C.HaberkornU.UnterbergA. W.et al (2010). Remission of major depression under deep brain stimulation of the lateral habenula in a therapy-refractory patient.Biol. Psychiatry67e9–e11. 10.1016/j.biopsych.2009.08.027
36
SavitzJ. B.NugentA. C.BogersW.RoiserJ. P.BainE. E.NeumeisterA.et al (2011). Habenula volume in bipolar disorder and major depressive disorder: a high-resolution magnetic resonance imaging study.Biol. Psychiatry69336–343. 10.1016/j.biopsych.2010.09.027
37
SchildkrautJ. J. (1965). The catecholamine hypothesis of affective disorders: a review of supporting evidence.Am. J. Psychiatry122509–522. 10.1176/ajp.122.5.509
38
SchlaepferT. E.BewernickB. H.KayserS.HurlemannR.CoenenV. A. (2014). Deep brain stimulation of the human reward system for major depression–rationale, outcomes and outlook.Neuropsychopharmacology391303–1314. 10.1038/npp.2014.28
39
SeoJ. S.ZhongP.LiuA.YanZ.GreengardP. (2018). Elevation of p11 in lateral habenula mediates depression-like behavior.Mol. Psychiatry231113–1119. 10.1038/mp.2017.96
40
ShabelS. J.ProulxC. D.PirizJ.MalinowR. (2014). Mood regulation. GABA/glutamate co-release controls habenula output and is modified by antidepressant treatment.Science3451494–1498. 10.1126/science.1250469
41
ShabelS. J.ProulxC. D.TriasA.MurphyR. T.MalinowR. (2012). Input to the lateral habenula from the basal ganglia is excitatory, aversive, and suppressed by serotonin.Neuron74475–481. 10.1016/j.neuron.2012.02.037
42
ShumakeJ.EdwardsE.Gonzalez-LimaF. (2003). Opposite metabolic changes in the habenula and ventral tegmental area of a genetic model of helpless behavior.Brain Res.963274–281. 10.1016/S0006-8993(02)04048-9
43
SienaertP. (2011). What we have learned about electroconvulsive therapy and its relevance for the practising psychiatrist.Can. J. Psychiatry565–12. 10.1177/070674371105600103
44
StamatakisA. M.StuberG. D. (2012). Activation of lateral habenula inputs to the ventral midbrain promotes behavioral avoidance.Nat. Neurosci.151105–1107. 10.1038/nn.3145
45
StamatakisA. M.Van SwietenM.BasiriM. L.BlairG. A.KantakP.StuberG. D.et al (2016). Lateral hypothalamic area glutamatergic neurons and their projections to the lateral habenula regulate feeding and reward.J. Neurosci.36302–311. 10.1523/JNEUROSCI.1202-15.2016
46
TchenioA.LeccaS.ValentinovaK.MameliM. (2017). Limiting habenular hyperactivity ameliorates maternal separation-driven depressive-like symptoms.Nat. Commun.8:1135. 10.1038/s41467-017-01192-1
47
Telles-CorreiaD.SaraivaS.GonçalvesJ. (2018). Mental disorder-the need for an accurate definition.Front. Psychiatry9:64. 10.3389/fpsyt.2018.00064
48
TrivediM. H.FavaM.WisniewskiS. R.ThaseM. E.QuitkinF.WardenD.et al (2006). Medication augmentation after the failure of SSRIs for depression.N. Engl. J. Med.3541243–1252. 10.1056/NEJMoa052964
49
UrbanD. J.RothB. L. (2015). DREADDs (designer receptors exclusively activated by designer drugs): chemogenetic tools with therapeutic utility.Annu. Rev. Pharmacol. Toxicol.55399–417. 10.1146/annurev-pharmtox-010814-124803
50
WiltschkoA. B.JohnsonM. J.IurilliG.PetersonR. E.KatonJ. M.PashkovskiS. L.et al (2015). Mapping sub-second structure in mouse behavior.Neuron881121–1135. 10.1016/j.neuron.2015.11.031
51
WlodarchakN.XingY. (2016). PP2A as a master regulator of the cell cycle.Crit. Rev. Biochem. Mol. Biol.51162–184. 10.3109/10409238.2016.1143913
52
YangY.CuiY.SangK.DongY.NiZ.MaS.et al (2018). Ketamine blocks bursting in the lateral habenula to rapidly relieve depression.Nature554317–322. 10.1038/nature25509
53
ZanosP.MoaddelR.MorrisP. J.GeorgiouP.FischellJ.ElmerG. I.et al (2016). NMDAR inhibition-independent antidepressant actions of ketamine metabolites.Nature533481–486. 10.1038/nature17998
Summary
Keywords
lateral habenula (LHb), depression, antidepressants, cellular mechanisms, deep brain stimulation
Citation
Nuno-Perez A, Tchenio A, Mameli M and Lecca S (2018) Lateral Habenula Gone Awry in Depression: Bridging Cellular Adaptations With Therapeutics. Front. Neurosci. 12:485. doi: 10.3389/fnins.2018.00485
Received
28 May 2018
Accepted
28 June 2018
Published
23 July 2018
Volume
12 - 2018
Edited by
Fereshteh S. Nugent, Uniformed Services University, United States
Reviewed by
Nicholas Michael Graziane, Pennsylvania State University, United States; Steven John Shabel, University of California, San Diego, United States
Updates
Copyright
© 2018 Nuno-Perez, Tchenio, Mameli and Lecca.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Salvatore Lecca, salvatore.lecca@unil.ch
This article was submitted to Neuropharmacology, a section of the journal Frontiers in Neuroscience
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.