(a) Several brain areas have been found to have abnormal activity or structure in patients with major depressive disorder (MDD) compared to healthy controls, including the prefrontal cortex, anterior cingulate cortex, hippocampus, amygdala, and orbitofrontal cortex.
(b) Imaging studies have found both hypoactivity and hyperactivity in different areas, and treatment has been shown to help normalize some of these abnormalities.
(c) The prefrontal cortex and limbic system including the hippocampus and amygdala appear to be particularly involved, and their structural and functional connections may contribute to MDD.
4. Widely known and acknowledged
Activity of catecholamines are high in
mania and diminshed levels in depression.
Higher urinary methoxy hydroxy phenyl
glycol
5. Nor epinephrine
• Manic patients – higher urinary MHPG levels than
depressed patients.
• Plasma MHPG levels are also high
• Plasma levels of cAMP is raised in mani and low
in depression.
• CSF MHPG is higher in mania.
6. Fusaric acid – inhibits enzyme dopamine β
hydroxylase ( converts DA NE) leading
to decrease in synthesis of NE
Clonidine reduces NE transmission by
direct action on presynaptic receptors and
thus improves manic symptom.
Propranolol posses anti manic properties.
action of venlafaxine – noradrenergic
effect.
7. Down regulation of b adrenergic receptors
and the clinical anti depressent response.
Reduction in the activity of alpha -2
adrenergic recpetors leading to decrease
in NE.
8. Dopamine
• Overactivity of dopamine plays important role in
pathogenesis of mania.
• Drugs and disease that reduce dopamine
concentraton lead to depression.
• CSF homvallinic acid is elevated in mania / switch
from depression to mania.
9. L DOPA , amphetmanine preciptates mania
symptoms
Dopmaine recpetor agonists like
bromocriptine and piribedil precipitates mania
Bupropion reduces the depression.
Various anti psychotic driugs
(chlorpromazine,haloperidol and pimozide )
have dopamine receptor blocking action
shown to have more effectiv ein it.
10. two new theories
Mesolimbic
dopamine
pathway be
dysfuntional
Dopamine D1
receptor hypoactive
11. Serotonin is the biogenic amine most
commonly associated with depression.
Pathophysiology of depression.
Normal or reduced levels of 5 HIAA , a
primary metabolite of serotonin in manic
patients.
12. Balance between the two
Depression a disease of cholinergic
preponderance and mania is a disease of
adrenergic preponderance
Anti catecholamine drugs (have central
and peripheral cholinomimetic activity).
Physostigmine – a cholinesterase inhibitor
causes dramatic decrease in the manic
and hypomanic symptoms.
13. A tri cyclic anti depressant is given only if
the patient has nor adrenergic or
serotonergic depression.
Assessed by presence of CSF MHPG.
14. Hypothesis that central opiod mechanism
control of expression of mood.
Positive evidence – I V endorophins
Negative – no action of methadone
15. Inhibitory neurotransmitter
Postulated to contribute to the etiology of
psychotic states.
Reduction have been observed in plasma ,
CSF and brain GABA levels in depression.
Sodium valproate inhibits the degradation of
GABA and reported improvement in acute
mania and effective in prophylaxis of bipolar
disorder.
16. Hypothalamic – pituitary adrenal axis
(HPA)
Midnight levels are increased in pts with
mood disorder.
50% manifest a decrease suppression of
cortisol secretion after administration of
dexamethasone.
17.
18. Carrol Et al
1mg of DXM orally at 11pm
Plasma cortisol levels are determined at 8
am, 4pm amd 11 am.
Above 5μg/dl abnormal
Can be used to follow the response of
depressed person to treatment.
Normalization of DST not an indication to
stop antidepressent
20. Hypothalamic Pituitary Adrenal Axis (HPA)
overactivity (elevated CRH and cortisol,
dexamethasone resistance) is present in many
patients with severe depression.
Corticosteroids reduce hippocampal 5-HT1A
receptor sites in animal studies and may explain
reduced hippocampal damage in depression.
20
21. Release of thyroid secreting hormone is by
TRH , via anterior pituitary.
Release of TRH is influenced by limbic and
other brain areas.
22. 500 mg ofTRh is given in morning via IV
over 30 seconds.
Blood samples of TRH are collectedat
every 15 min intervals upto 15 min
including baseline (pre TRH push).
Maximal TRH difference is calculated from
baseline.
5-7 mg/ml is considered abnormal.
23. 3. Hypothalamic pituitary growyh hormone
axis
• CSF levels of somatostatin is decreased in
depressed patients.
• Abnormal positive growth hormone response to
TRh in depressed patients.
4. Hypothalamic pituitary prolactin axis
• Inconclusive
• Prolactin secretion is altered in nocturnal
secretion in depressed pts
24. 5. Melatonin
• Stimulated by nor adrenergic recpetors
• Secreted at night under the influence of
circadian rhythm.
• Decreased in depression.
6. Insulin tolerance test
• 44% of bipolar and 60% of unipolar have
blunted ITT
7. Vasopressin
25. Depression can interfere with
immunological competence
Severely depressed pts have reduced in
vitro lymphocyte response to mitogen
stimulation
Fewer natural killer T cell lymphocytes
Fewer suppressor t cells and few
circulating lymphocytes.
26. Sleep EEG in depressed pts shows
abnormalities
• Delayed sleep onset
• Shortened REM latency
• Incresed length of first REM sleep
• Abnormal delta sleep
Kindling -
29. (a) Orbital prefrontal
cortex and
Ventromedial
prefrontal cortex
(b) Dorsolateral
prefrontal cortex
(c) Hippocampus and
Amygdala
(d) Anterior cingulate
cortex
Davidson et al, 2002, Annu.
Rev. Psychol.
30. Prefrontal
cortex2
Amygdala2
Hippocampus5
Anterior
cingulate cortex3
Nucleus accumbens4
Insular
cortex1
1. Kennedy SE, et al. Arch Gen Psychiatry. 2006;63:1199–1208. 2. Drevets WC. Curr Opin Neurobiol. 2001;11:240–249.
3. Whittle S, et al. Neurosci Biobehav Rev. 2006;30:511–525. 4. Schlaepfer TE, et al. Neuropsychopharmacology.
2008;33:368–377. 5. Gaughran F, et al. Brain Res Bull. 2006;70:221–227.
31. Areas of increased activation in patients with MDD at rest (red) and
decreased activation (blue) compared with controls
Increased activity: lateral orbital prefrontal cortex, ventromedial prefrontal cortex,
amygdala, thalamus, caudate
Decreased activity: dorsolateral prefrontal cortex (DLPFC), insula, pregenual and dorsal
anterior cingulate cortex (dACC), superior temporal gyrus
Fitzgerald PB, et al. Hum Brain Mapp. 2008;29:683–695.
32. Total Hippocampal Volume ( mm3)
0 1000 2000 3000 4000
Days of Untreated Depression
6000
5500
5000
4500
4000
3500
3000
2500
Sheline YI, et al. Am J Psychiatry. 2003;160(8):1516-1518.
R2=0.28; p=.0006
N=38
33. Atrophy of the Hippocampus in Depression
Normal Depression
Bremner JD, et al. Am J Psychiatry 2000;157(1):115-118.
Reprinted with permission from JD Bremner.
34. 800
700
600
500
400
300
200
100
0
*P=.02 vs comparison by ANOVA
Comparison subjects (N=20)
Major depression (N=15)
Orbitofrontal cortical (gyrus rectus)
volume (mm3)
*
MOFC
Image reprinted with permission from Elsevier
Patients with MDD had 32% smaller MOFC (VMPFC) than controls
ANOVA=analysis of variance; MOFC=medial orbitofrontal cortices; VMPFC=ventromedial prefrontal cortex.
Bremner JD, et al. Biol Psychiatry. 2002;51:273–279.
35. 3-year prospective study comparing 38 patients with 30 healthy controls
Significant decline in gray matter density was noted in hippocampus, amygdala,
anterior cingulate cortex, and dorsomedial prefrontal cortex
Threshold was set at P<.001
Frodl TS, et al. Arch Gen Psychiatry. 2008;65:1156–1165.
36. Most brain imaging studies have shown abnormalities in these
key areas: amygdala, hippocampus, prefrontal cortex, anterior
cingulate cortex, and orbitofrontal cortex1–3
Many studies have found prefrontal cortical hypoactivity at
baseline improved after treatment4
Many studies have found limbic hyperactivity (especially
cingulate) at baseline normalized after treatment4
More recent studies have focused on network relationships
(limbic, prefrontal) and dynamic changes over time2,4–6
There is great heterogeneity among patients; scanning is not
predictive or individually diagnostic
1. Sheline YI. Biol Psychiatry. 2000;48:791–800. 2. Sheline YI. Biol Psychiatry. 2003;54:338–352. 3. Nestler EJ, et al.
Neuron. 2002;34:13–25. 4. Mayberg HS. Br Med Bull. 2003;65:193–207. 5. Fales CL, et al. Biol Psychiatry. 2008;63:
377–384. 6. Siegle GJ, et al. Biol Psychiatry. 2007;61:198–209.
PURPOSE OF THE SLIDE
Introduce some of the brain regions that are involved in major depressive disorder (MDD).
KEY POINTS
Some of the areas that may be involved in MDD are: prefrontal cortex (PFC), anterior cingulate cortex (ACC), primary and secondary somatosensory cortex, mid-insular cortex, posterior cerebellum, amygdala, hippocampus, thalamus, and nucleus accumbens.
BACKGROUND
Kennedy et al. observed changes in the opioid system in 14 female patients with MDD and 14 controls via positron emission tomography examining the binding potential of the mu-opioid receptor. Researchers found significant reductions in binding potential in patients with MDD in the following regions: anterior insular cortex, anterior and posterior thalamus, ventral basal ganglia, amygdala, periamygdala cortex, and inferior temporal cortex.1
Gaughran et al. found higher levels of fibroblast growth factor (FGF) in the post-mortem hippocampal tissue of depressed subjects compared with healthy controls.2
Drevets reviewed the literature to examine the role of the PFC in MDD. The authors found reduced glucose metabolism (decreased activity) within this region in patients who had unipolar depression compared to healthy controls.3 Blood flow in the amygdala also differed in MDD patients compared to healthy controls.1
Whittle et al. stated that the ventral portion of the ACC is thought to be involved in the processing of negative, fear-related emotions. Activation of the right ventral ACC has been shown to positively correlate with depression severity in MDD patients.4
Schlaepfer et al. found a significant improvement in treatment-resistant depression, specifically the anhedonic component of depression (N=3), following the implantation of deep-brain stimulating electrodes in the nucleus accumbens.5
REFERENCES
Kennedy SE, et al. Dysregulation of endogenous opioid emotion regulation circuitry in major depression in women. Arch Gen Psychiatry. 2006;63:1199–1208.
Gaughran F, et al. Hippocampal FGF-2 and FGFR1 mRNA expression in major depression, schizophrenia and bipolar disorder. Brain Res Bull. 2006;70:221–227.
Drevets WC. Neuroimaging and neuropathologic studies of depression: implications for the cognitive-emotional features of mood disorders. Curr Opin Neurobiol. 2001;11:240–249.
Whittle S, et al. The neurobiological basis of temperament: towards a better understanding of psychopathology. Neurosci Biobehav Rev. 2006;30:511–524.
Schlaepfer TE, et al. Deep brain stimulation to reward circuitry alleviates anhedonia in refractory major depression. Neuropsychopharm. 2007;April 11 [Epub ahead of print].
PURPOSE OF THE SLIDE
To introduce some of the regional cortical activity differences observed with patients with major depressive disorder (MDD).
KEY POINTS
Images are from a meta-analysis of nine studies comparing patients with MDD and control subjects at rest.
Total of eight areas were identified as decreased activation in patients with MDD compared with controls, including: pregenual anterior and posterior cingulate, bilateral middle frontal gyri, insula and left superior temporal gyrus.
Areas identified as “overactive’’ in patients included a series of deeper brain structures (e.g., thalamus, caudate, medial and inferior frontal gyri) as well as cortical structures (including the left superior frontal and right middle frontal gyri).
Depression appears to involve a considerable number of diverse cortical and subcortical brain regions and there are significant differences in the way in which differing regions are abnormally active in the disorder.
REFERENCE
Fitzgerald PB, et al. A meta-analytic study of changes in brain activation in depression. Human Brain Map. 2008;29:683–695.
Optima Educational Solutions, Inc.
Optima Educational Solutions, Inc.
PURPOSE OF THE SLIDE
To look at some of the potential structural changes observed in patients with depression.
Reduced cortical volumes have been found in subregions of the frontal cortex, including the subgenual anterior cingulate and medial orbitofrontal cortex.
KEY POINTS
Neuroimaging studies have begun to show how functional differences in the brain between depressed and healthy patients can be associated with structural differences—though we still don’t know how this happens.
The medial orbitofrontal cortex (MOFC; shaded in red on the image at left) has a role in the regulation of emotion and mood. In patients with depression (N=15), the MOFC was 32% smaller in volume than controls (N=20), as is indicated in the chart on the right. This finding was significant after statistically controlling for brain size. The authors hypothesize that decreases in volume of the MOFC in patients may be a risk factor for the development of depression.
BACKGROUND
The study consisted of 15 patients with a history of DSM-IV depression and currently treated with antidepressant medication (paroxetine, fluoxetine, or desipramine). Patients with a history of post-traumatic stress disorder (PTSD) or current medication use other than antidepressants were excluded.
Comparison subjects (N=20) were healthy subjects selected to be similar to the patients for gender, age, years of education, and handedness.
Depressed patients, on average, were in remission for 30 weeks and had an average of two prior depressive episodes.
REFERENCE
Bremner JD, et al. Reduced volume of orbitofrontal cortex in major depression. Biol Psychiatry. 2002;51:273–279.
PURPOSE OF THE SLIDE
To further discuss structural changes associated with major depressive (MDD).
KEY POINTS
Many neuroimaging studies of patients with MDD are cross-sectional, which shows an association but not necessarily a causality between structural differences in size for patients compared with controls.
A recently published longitudinal study prospectively examined structural volume in patients with MDD across 3 years:1
Compared to baseline values, patients with MDD demonstrated a significantly greater decline in gray matter density for the hippocampus, amygdala, ACC, and dorsomedial prefrontal cortex.
This study supports that MDD is associated directly with loss of gray matter density in regional areas associated with the illness.
REFERENCE
Frodl TS, et al. Depression-related variation in brain morphology over 3 years: effects of stress? Arch Gen Psychiatry. 2008;65(10):1156–1165.
PURPOSE OF THE SLIDE
To summarize neuroimaging and depression studies that have been replicated.
KEY POINTS
Most of the replicated findings have found decreased activity in the prefrontal cortex (PFC), and increased activity in the cingulate and amygdala.1–4
More recently, researchers have been looking less at increases or decreases in specific brain areas, and looking more at the networks and how the areas of the brain function relative to each other, specifically how the PFC and limbic system communicate in good health and in the depressed state.2,4–6
Finally, while imaging has been a very useful research tool, it is not currently a clinical tool that can or should be used to make a diagnosis of depression.
Sheline reviewed three-dimensional magnetic resonance imaging (MRI) studies of neuroanatomic changes in unipolar major depression.
Brain changes associated with early-onset major depression have been reported in the hippocampus, amygdala, caudate nucleus, putamen, and frontal cortex.
Many of these reported changes occur in structures that comprise a neuroanatomic circuit called the limbic–cortical–striatal–pallidal–thalamic tract (LCSPT).1
The LCSPT circuit has two proposed arms. The first proposed arm is the limbic–thalamic–cortical branch composed of the amygdala and hippocampus, mediodorsal nucleus of the thalamus, and medial and ventrolateral prefrontal cortex. The second proposed arm is the limbic–striatal–pallidal–thalamic branch.2
Nestler et al. reviewed some proposed neurobiologic concepts of depression, including genetic and environmental factors, neural circuitry, dysregulation of the hypothalamic–pituitary–adrenal (HPA) axis, impairment of neurotrophic mechanisms, and impairment in brain reward pathways (including the nucleus accumbens, hypothalamus, and amygdala).3
Mayberg reviewed functional neuroimaging studies in the context of a limbic–cortical network model and discussed the importance of modulating dysfunctional limbic–cortical pathways in depression.4
Fales and colleagues used emotional distracters to test for top-down versus bottom-up dysfunction in the interaction of cognitive-control and emotion-processing circuitry. Functional MRI (fMRI) results of 27 MDD patients and 24 controls showed an enhanced amygdala response to fear-related stimuli; controls showed increased activity in the right dorsolateral PFC when ignoring fear stimuli, which the depressed patientsdid not show.5
Siegle and colleagues tested 27 MDD patients and 25 controls on completing tasks requiring executive control (digit sorting) and emotional information processing. fMRI assessment showed that, relative to controls, depressed patients displayed sustained amygdala reactivity on emotional tasks and decreased dorsolateral PFC activity on digit sorting.6
REFERENCES
Sheline YI. 3D MRI studies of neuroanatomic changes in unipolar major depression: the role of stress and medical comorbidity. Biol Psychiatry. 2000:48(8):791–800.
Sheline YI. Neuroimaging studies of mood disorder effects on the brain. Biol Psychiatry. 2003;54(3):338–352.
Nestler EJ, et al. Neurobiology of depression. Neuron. 2002;34(1):13–25.
Mayberg HS. Modulating dysfunctional limbic-cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimised treatment. Br Med Bull. 2003;65:193–207.
Fales CL, et al. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol Psychiatry. 2008;63:377–384.
Siegle GJ, et al. Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: related and independent features. Biol Psychiatry. 2007;61:198–209.