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Brain Network Dysfunction in Bipolar Disorder


Caleb M. Adler, MD, Melissa P. DelBello, MD, and Stephen M. Strakowski, MD


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CNS Spectr. 2006;11(4):312-320

 

Dr. Adler is associate professor of psychiatry in the Department of Psychiatry at the University of Cincinnati College of Medicine in Ohio. Dr. DelBello is co-director of the Division of Bipolar Disorders Research and associate professor of psychiatry and pediatrics in the Department of Psychiatry at the University of Cincinnati College of Medicine. Dr. Strakowski is professor of psychiatry, psychology, neuroscience and biomedical engineering at the University of Cincinnati College of Medicine.

Disclosures: Dr. Adler has received research support, speaker honoraria, and/or consulting fees from Abbott, AstraZeneca, Eli Lilly, Janssen, the National Institute of Mental Health (NIMH), National Alliance for Research on Schizophrenia and Depression (NARSAD), Pfizer, and the Stanley Medical Research Institute. Dr. DelBello has received research support, speaker honoraria, and/or consulting fees from Abbott, AstraZeneca, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, the Heinz C. Prechter Foundation, Janssen, the Klingenstein Foundation, the NARSAD, the NIMH, Ortho-McNeil, Pfizer, Shire, and the Stanley Medical Research Institute. Dr. Strakowski has received research support, speaker honoraria, and/or consulting fees from Abbott, AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Forest, Janssen, the NIMH, the NARSAD, Ortho-McNeil, Pfizer, Shire, and the Stanley Medical Research Institute.

Funding/Support: This work was supported in part by NIMH grants MH64086 awarded to Dr. Adler, MH63373 awarded to Dr. DelBello, and MH071931 awarded to Dr. Strakowski and grants from the Stanley Medical Research Institute, the NARSAD, and the Heinz C. Prechter Foundation.

Submitted for publication: December 20, 2005, accepted February 25, 2006.

Please direct all correspondence to: Caleb M. Adler, MD, Division of Bipolar Disorders Research, Department of Psychiatry, University of Cincinnati College of Medicine, 231 Bethesda Avenue, P.O. Box 670559, Cincinnati, OH 45267-0559; Tel: 513-558-5847, Fax: 513-558-3399; E-mail: caleb.adler@uc.edu.


 

 
Needs Assessment
Despite the significant morbidity and mortality associated with bipolar disorder, little is known about its neurophysiology. The results of recent studies involving novel neuroimaging techniques have rapidly increased our knowledge of the structural neuroanatomy of this condition and how it appears to arise from dysfunction within discrete brain networks.

Learning Objectives
At the end of this activity, the participant should be able to:
• Identify network models of bipolar disorder neurophysiology.
• Identify how neuroimaging is being used to study bipolar disorder.
• Describe currently identified brain abnormalities in bipolar disorder. 

Target Audience
Neurologists and psychiatrists

 Accreditation Statement
Continuing Medical Education to provide Continuing Medical Education for physicians.

Mount Sinai School of Medicine designates this educational activity for a maximum of 3.0 Category 1 credit(s) toward the AMA Physician’s Recognition Award. Each physician should claim only those credits that he/she actually spent in the educational activity.

It is the policy of Mount Sinai School of Medicine to ensure fair balance, independence, objectivity and scientific rigor in all its sponsored activities. All faculty participating in sponsored activities are expected to disclose to the audience any real or apparent discussion of unlabeled or investigational use of any commercial product or device not yet approved in the United States.
 
This activity has been peer-reviewed and approved by Eric Hollander, MD, professor of psychiatry, Mount Sinai School of Medicine. Review Date: March 6, 2006.

To Receive Credit for This Activity
Read this article, and the two CME-designated accompanying articles, reflect on the information presented, and then complete the CME quiz. To obtain credits, you should score 70% or better. Termination date: April 30, 2008. The estimated time to complete this activity is 3 hours.
 

 

Abstract

Bipolar disorder is a common psychiatric condition with significant associated morbidity and mortality. Despite its significance, the neurophysiology and neuropathology of this illness is incompletely understood. Recent advances in neuroimaging techniques have helped to begin clarifying these areas. Specifically, bipolar disorder appears to arise from abnormalities within discrete brain networks (eg, the anterior limbic network). The expression of the symptoms of bipolar disorder does not appear to result from single, localized brain lesions, but rather are emergent properties of dysfunction of these brain networks. As neuroimaging techniques continue to improve, the underlying neural basis of bipolar disorder will be clarified.

 

Introduction

Diagnosed in ~1% to 2% of the population,1,2 bipolar disorder is characterized by both fluctuating affective states that define the illness and a constellation of other symptoms, including impulsivity, specific cognitive deficits, and neurovegetative changes.3 Despite the prevalence of the disorder, the neurophysiology underlying bipolar symptoms remains poorly understood. Nonetheless, recent data suggest that bipolar symptomatology arises from dysfunction in several structures and white matter pathways comprising specific overlapping neural networks.

As early as 1937, Papez4 linked emotional expression to a group of structures previously identified by Broca as "le grande lobe limbique."5 This limbic network subsequently was extended to include portions of thalamus, amygdala, hippocampal complex, fornix, and anterior cingulate. Recent imaging studies support the hypothesized associations between limbic structures and emotional expression. For example, efforts to induce sadness and anger in healthy subjects during positron emission tomography and functional magnetic resonance imaging result in emotion-related activity in regions of the classic limbic network, in the striatum, and portions of the prefrontal cortex (PFC), including the orbitofrontal, ventral prefrontal, dorsolateral prefrontal (DLPFC), and medial frontal cortices.6-8  These and other studies led to proposals9 that mood and behavior are mediated by neuronal interactions within a cortico-striatal-pallido-thalamic circuit. Other researchers10 have proposed that a linked cortico-striato-thalamic system is responsible for the regulation of emotive stimuli response.Neuropathology in at least a portion of these networks might underlie affective symptoms.

In addition to fluctuating affective states, bipolar disorder is associated with cognitive deficits that appear to be limited to specific neurocognitive domains. Bipolar patients frequently perform as well as healthy subjects on tests of verbal or performance IQ; the same is true for specific tests of serial learning and verbal fluency.11 Bipolar patients, however, demonstrate significant deficits in performance on a variety of attention tasks, particularly tasks involving elements of executive function, such as the letter cancellation and trails tasks, and decreased performance on tests of short-term memory, including declarative and working memory.11 Patients with bipolar disorder also demonstrate impaired performance on Stroop tasks, attention tasks that require successful inhibition of prepotent responses.11 Evidence of decreased executive function is manifest in bipolar patients in their performance on some attention and working memory tasks and with performance difficulties on the Wisconsin Card Sort  Task.11

Several of the limbic and prefrontal regions involved in these cognitive domains overlap areas hypothesized to mediate emotional regulation.12-16 Executive function, for example, has been localized to portions of the PFC, which also mediates performance of attention, working memory, and Stroop tasks. The pattern of attention deficits in patients with bipolar disorder is most consistent with dysfunction in the orbitofrontal cortex, DLPFC, subcortical and medial temporal structures, and portions of the posterior parietal cortex.13,14 Deficits in working memory similarly suggest abnormalities in the orbitofrontal cortex, DLPFC, the anterior cingulate cortex (ACC), striatum, thalamus, and medial temporal structures.14,15 Impairment in performance on Stroop tasks may be related to neuropathology of the ACC and DLPFC, which form part of a neural network involved in self-monitoring and inhibition.12 The pattern of cognitive deficits in bipolar disorder suggests dysfunction within a cerebello-striatal-prefrontal neural circuit.16 

Recently, researchers17,18 have posited that this spectrum of affective and cognitive symptomatology represents dysfunction within a single extended network, the anterior limbic network (ALN [Figure 1]), which includes prefrontal regions, subcortical structures, such as the thalamus, striatum, amygdala, and the midline cerebellum. Prefrontal-striatal-thalamic circuits compose a core aspect of the ALN, and interactions among these structures may be involved in the regulation of socioemotional behaviors.17 These prefrontal and subcortical structures are also modulated by medial temporal structures involved in both emotional regulation and reward.17-20 Emotional dysregulation in bipolar disorder has been hypothesized to arise from a lack of inhibitory feedback between medial, dorsal, and inferior frontal cortex, and these subcortical and medial temporal structures of the ALN.16 Other investigators21 have suggested that the abnormal processing of emotional stimuli in patients with bipolar disorder results from impaired feedback between dysfunctional prefrontal regions and the amygdala. Neurovegetative symptoms, including changes in sleep, appetite, and energy, associated with bipolar disorder are hypothesized to result from the effects of dysregulated ALN activity on hypothalamic nuclei.17 We will now briefly review imaging studies supporting the presence of abnormalities within the anterior limbic network.

 

Prefrontal Cortex

The PFC is a functionally heterogeneous region that integrates stimulus-reward associations, reward-guided behavior, and the modulation of emotion.22 Portions of the PFC also contribute to attention, short-term memory,  the integration of reward, and the inhibition of prepotent responses. The PFC as a whole is richly networked via reciprocal connections with portions of the basal ganglia, thalamus, and medial temporal structures. Specific areas of the PFC map to specific regions of the striatum and thalamus to create iterative loops that produce emotional, cognitive, and social behaviors. Several studies17 of patients with bipolar disorder have identified morphometric abnormalities and changes in functional activity in portions of the PFC. Reduced prefrontal volume has been found to correlate with performance on a continuous performance test (CPT) of attention.23 Magnetic resonance spectroscopy (MRS) studies of the PFC have also identified decreased concentrations of N-acetyl-aspartate (NAA), consistent with prefrontal neuronal dysfunction.24 

The orbitofrontal cortex is a portion of the PFC that is closely associated with emotional homeostasis.25,26 Medial orbitofrontal and ventrolateral prefrontal cortex (VLPFC) are reciprocally connected with the amygdala, anterior temporal regions, subgenual ACC, and striatum. Interruptions of these orbitofrontal-striatal connections in particular have been implicated in the development of major depressive symptoms, and increased activity in the orbitofrontal cortex during periods of depression has been negatively correlated with both depression severity and degree of amygdala activity, supporting the behavioral importance of these feedback loops.21 Projections from the orbitofrontal cortex to the hypothalamus have also been found to mediate cortisol release, and may be related to increases in neurovegetative symptoms during depression.21 Subregions of the PFC project to different portions of the hypothalamus and affect endocrine, autonomic, and behavioral functions through the medial, dorsal, and lateral hypothalamus, respectively.27 Structural neuroimaging and MRS studies28,29 support this hypothesized orbitofrontal pathology in bipolar disorder. Orbitofrontal gray matter volumes are reduced bilaterally.28 Cecil and colleagues29 reported decreased NAA in the medial orbitofrontal cortex of bipolar adolescents.
 
The VLPFC is also linked with emotional regulation, and dysregulation or dysfunction of this region has been implicated in affective symptomatology. The VLPFC is closely networked with other portions of the PFC, including the orbitofrontal cortex and DLPFC, and it is also reciprocally connected to paralimbic, limbic, and subcortical regions. These include the ACC, medial temporal structures, basal ganglia, thalamus, and brainstem. As a result of these connections, the VLPFC is ideally positioned to modulate emotional processing and bodily sensations and response.10,25,26 Additionally, subgenual PFC has extensive connections to other regions involved in emotional regulation and reward, including the ventromedial portion of the striatum, made up of the nucleus accumbens, medial caudate nucleus, ventrolateral putamen, and ventral tegmental area (VTA).21,30-32 Other efferents project to the lateral hypothalamus and brainstem autonomic nuclei leading investigators21 to suggest that the ventral PFC may interact with the orbitofrontal cortex in mediating neurovegetative symptoms. Postmortem studies of the PFC in bipolar patients observe neuropathologic changes in subgenual prefrontal tissue,21 and MRI studies noted decreased subgenual prefrontal volume.33,34 Positron emission tomography studies of glucose metabolism suggest concomitant changes in baseline activity in this brain region.21

The ACC is also richly connected to other areas of the PFC and seems to be similarly involved in emotional regulation and reward-related feedback.35 Lesions in the ACC have been associated with abnormal emotional responses, and appear to affect decision-making with regard to risk.25,36 Through reciprocal connections with the orbitofrontal cortex and portions of the ventral PFC, the ACC networks with the basal ganglia, thalamus, and insula as well as paralimbic and limbic structures, including the amygdala and hippocampus.26 The ACC also receives dense dopamine input directly from the VTA, a region that projects to the striatum and seems to be involved in reward.

Structural studies suggest the presence of abnormalities in the cingulate cortex of bipolar patients. Several investigators37,38 have reported decreased left-sided ACC volume. Using magnetization transfer imaging, Bruno and colleagues39 also reported a loss of neuropil density in the right subgenual cingulate. Moreover, although data are limited, in at least one study40 decreased ACC gray matter density in patients with bipolar disorder was associated with poor clinical outcome. Functional neuroimaging studies33 suggest bipolar disorder is also associated with concomitant decreased ACC metabolism.

 

Medial Temporal Structures

The amygdala and hippocampus together make up part of the mesolimbic cortex. The amygdala is involved in emotional regulation, expression, and memory, and networks, including the amygdala, have been implicated in a wide range of both cognitive and affective domains.22 Portions of the medial cortex and VLPFC are reciprocally connected to the amygdala and hippocampus and additional projections into the amygdala arise from orbital and medial PFC, lateral PFC, perirhinal cortex, lateral entororhinal cortex, piriform cortex, and the hippocampus.22,25,26 Additional amygdala inputs arise from posterior orbital cortex, anterior insula, and both subgenual and pregenual portions of the ACC, increased activation of which may be associated with increased amygdala activation.21 While the resolution of functional imaging studies limit identification of specific nuclei,21 primate studies suggest that amygdala efferents to the PFC arise largely from the basal nucleus, with the ventromedial basal nucleus projecting to the orbital prefrontal network, and ventrolateral basal nucleus projecting to the medial prefrontal network.41 Hippocampal efferents to the PFC arise primarily from the rostral part of the subiculum and surrounding cells.41,42 Other amygdala efferents arise from the central nucleus of the amygdala and stimulate corticoptropin-releasing factor release from the paraventricular nucleus of the hypothalamus.21,43 Amygdala projections to neurons in the hypothalamus and periaqueductal gray area have been associated with neurovegetative symptoms in patients with bipolar disorder.21

Structural studies suggest17,28,44,45 that medial temporal neuropathology is integral to deficits in the ALN. While volumetric studies of the amygdala in bipolar adults have been equivocal, studies including bipolar adolescents have consistently observed decreased amygdala volume. Postmortem studies are also indicative of amygdala neuropathology; decreased Nissl-staining neurons have been observed in the dorsal raphe nucleus in major depressive and bipolar disorders.31 Reduced hippocampal volume was also observed in a population of older bipolar patients and in bipolar children and adolescents.17,44 Reductions of non-pyramidal neurons in the hippocampus, and reduced arborisation of subicular apical dendrites, suggest that these findings are associated with reduced synaptic formation.39

 

Subcortical Structures

The basal ganglia, and in particular the striatum, play a significant role in both cortical and emotional regulation. Multiple striatal pathways project to orbitofrontal, medial, and lateral prefrontal regions implicated in the modulation of emotional behavior.26,46 These prefrontal areas project to the ventromedial striatum and thalamus to create feedback loops through which the PFC influences psychomotor response to emotion.25,26 The nucleus accumbens, which forms part of the ventral striatum, is a central structure in these interconnected limbic and striatal networks. The nucleus accumbens projects to the ventral pallidus, hypothalamus, and brainstem, and receives abundant afferents from the prelimbic cortex, hippocampal formation, thalamus, and amygdala.22,25,26 The nucleus accumbans is particularly closely associated with the amygdala; the extended amygdala and portions of the nucleus accumbens may be part of a common functional anatomic continuum.22

Structural and MRS findings in the basal ganglia suggest the presence of primary functional deficits in these subcortical structures. Putamen volume is increased in bipolar patients as well as in both affected and non-affected bipolar twins, suggesting deficits in pruning that may be related to increased activity in these structures.17 Increased basal ganglia choline levels in bipolar patients are also consistent with altered neuronal energetics in this brain region.47

 

Cerebellum

The cerebellum is a heterogeneous structure that receives input from areas known to be involved in cognition and affect in what has been termed a cerebro-cerebellar circuit.48 The cerebellum receives input from the hypothalamus, parahippocampus, cingulate, superior temporal cortex, posterior parietal cortex, and PFC.48 MRI studies suggest the presence of functional connections between the left dentate nucleus of the cerebellum and portions of the thalamus, caudate, right putamen, right hippocampal complex, portions of the posterior PFC, DLPFC (Brodmann areas 9 and 46), medial frontal gyrus (Brodmann area 8), VLPFC (Brodmann area 10), and ACC.48 Decreased cerebellar vermal volume was reported in bipolar patients,49,50 and decreased NAA concentrations are present in bipolar adolescents,29 suggesting primary deficits in this region.

 

Functional Imaging Studies

Although resolution is limited, and neurofunctional specificity bounded by the nature of the cognitive probes employed, measures of network dysfunction can be inferred from patterns of response to cognitive and emotional stimuli in functional imaging studies. During performance of an identical pairs continuous performance attention task, bipolar patients showed increased activation of the VLPFC, as well as limbic and paralimbic structures, suggesting that reciprocal connections between these regions play a role in bipolar neuropathology.13 Working memory tasks are similarly associated with increased activation in the VLPFC, left thalamus and left caudate,15 and decreased activity in the ACC.51 Furthermore, increases in the VLPFC (Brodmann area 10) in patients with bipolar disorder have been associated with increasing working memory load.28 Together, these findings suggest that performance of continuous performance and working memory tasks is associated with over-activation of striato- and thalamo-frontal portions of the ALN, with consequent inhibition of the ACC. Further, deficits in working memory performance may be related to inhibition of other portions of the PFC, including the DLPFC (Figure 2).

Stroop studies in euthymic bipolar adults together demonstrate a similar pattern of abnormal activation in the VLPFC, and decreased activation in the ACC, as well as in the temporal cortex, putamen and cerebellar vermis.12,52 Other functional imaging studies in adult euthymic bipolar patients show a similar pattern of findings. Bipolar patients performing a gambling task demonstrate increased activity in VLPFC (Brodmann area 10), and suppression of DLPFC (Brodmann areas 9 and 46) activity observed in healthy subjects.28

Bipolar patients also show decreased DLPFC activity, which was associated with increased amygdala activation, in response to fearful facial affect.53 Malhi and colleagues52 observed that while viewing pictures intended to evoke emotions was associated with activation of the PFC and ACC in both bipolar and healthy subjects, bipolar patients also activated portions of the amygdala, thalamus, hypothalamus, and striatum. These functional imaging studies support a picture of increased reactivity in those portions of the ALN most identified with emotional regulation and consequent inhibition of other ALN structures, including the DLPFC and ACC. Increased activity in the ventral PFC may be closely tied to increased subcortical activity through prefrontal-striatal and thalamic feedback loops that are disrupted in patients with bipolar disorder.

 

White Matter Tracts

Recent imaging studies suggest that anterior limbic network dysfunction observed in bipolar disorder may be related to neuropathology of the white matter tracts linking the structures of the ALN. White matter hyperintensities (WMH), areas of increased signal intensity on T2 MRI images that may be indicative of neuropathological changes in white matter tracts, are more common in bipolar patients, particularly patients with bipolar I disorder compared with healthy controls.54 WMH may be suggestive of early signs of demyelination35 but remain poorly understood. Nonetheless, WMH are associated with both poor outcome and cognitive deterioration.55 WMH can appear throughout the brain but have been observed to be more common in the frontal cortical portions of the ALN.47

In addition to increased numbers of WMH, patients with bipolar disorder show overall deficits in white matter volume56 that may extend to unaffected twins of bipolar patients.57 Imaging studies of white matter volume and density39 localize deficits to frontostriatal networks, in particular. Morphometric findings,39 however, are non-specific and may reflect myelin changes and/or reduced axon density. The former interpretation is supported by findings of reduced expression of oligodendrocyte, myelin-related genes, and the transcription factors involved in myelin gene expression in bipolar patients.35 

Diffusion tensor imaging (DTI) is a magnetic resonance technique that utilizes measurement of water diffusion to study white matter tracts in vivo (Figure 3). Although relatively few DTI studies have been performed in patients with bipolar disorder, the limited data available suggest abnormalities in white matter tracts connecting portions of the PFC to subcortical structures in the ALN. Haznedar and colleagues16 observed decreased fractional anisotropy, suggesting white matter pathology, in the anterior fronto-occipital fasciciulus, which includes tracts connecting the orbitofrontal cortex to the temporal and occipital lobes, and in the posterior internal capsule, particularly in the anterior genu (cortiocthalamic fibers) in bipolar spectrum patients. Adler and colleagues58 and Adler and colleagues59 similarly observed decreased fractional anisotropy in prefrontal white matter tracts. Fractional anisotropy values inversely correlated with the number of depressive episodes, suggesting that impairment in these prefrontal-subcortical white matter tracts may be related to the appearance of mood states60

 

Effects of Mood State on Network Dysfunction

Relatively limited data are available to compare network function in manic versus depressed patients. During a manual reaction time task, manic patients demonstrated increased activation of the left globus pallidus and decreased activation in the right globus pallidus, compared with depressed bipolar patients.61 Similar differences in laterality were observed by Blumberg and colleagues62 in bipolar patients performing a Stroop task. Manic patients showed decreased right VLPFC activity compared with euthymic subjects, while depressed patients showed increased activity in the left VLPFC. The ALN of bipolar patients may react differently to environmental cues across mood state as well. Chen and colleagues10 noted different activation patterns in the fronto-striatal-thalamic network during mania and depression while performing a facial affect task.

 

Conclusion

Until relatively recently many neuroimaging studies have treated neurophysiological findings as a form of phrenology, suggesting that specific portions of the brain are associated with specific cognitive and emotional traits. More recent neuroimaging studies suggest that emotion regulation is an emergent phenomenon that arises out of specific neural networks and that bipolar disorder represents the consequences of dysregulation in these networks. The work of several independent investigators drawing on a new wealth of neurophysiological findings in healthy subjects suggests that bipolar disorder represents dysfunctional changes in an anterior limbic network that includes traditional limbic structures and portions of the frontal cortex and cerebellum that have been found to be active in both emotional regulation and specific cognitive processes.

Convergent evidence from morphological studies of structures that make up the ALN, functional studies of both affective and cognitive stimuli, and more recent evidence of white matter pathology suggest that ALN dysfunction derives from several potentially overlapping areas of pathology in both specific neural structures and white matter tracts. Moreover, evidence suggests that some of these pathological changes are developmental in origin while others may represent the consequences of lesions elsewhere in the ALN. Healthy network formation requires both increased myelination of white matter tracts and synaptic pruning of gray matter.63 Subcortical structures, such as the amygdala, basal ganglia, and thalamus, are mature by puberty,64 and increased striatal volume in patients with bipolar disorder suggests a failure of pruning in at least a portion of the subcortical portion of the ALN. These findings are buttressed by evidence of abnormal striatal development in bipolar children and adolescents.65 Similar abnormal developmental processes may be related to findings of white matter pathology as well.

Associations between measures of abnormal white matter diffusion and number of depressive episodes in bipolar disorder further support the clinical relevance of these developmental deficits. Pathological changes in portions of the PFC, particularly the VLPFC, seem to manifest later in the course of bipolar disorder and may be secondary to pathology elsewhere in the ALN. Morphologic changes in the VLPFC, for example, are not apparent in first-episode patients66 but gradually appear in studies of multi-episode patients.67 Progressive losses of volume in the VLPFC may be related to the excitotoxic effects of increased glutamate release in the PFC that may in turn be a consequence of over-activity in subcortical structures, and exacerbated by mitochondrial dysfunction in bipolar patients.68

Future studies utilizing imaging and other techniques designed to better investigate network dysfunction are necessary to parse primary and secondary effects of network dysregulation in patients with bipolar disorder. Studying abnormalities of neuronal connections in these patients will further clarify the role of network dysfunction in the development and presentation of bipolar disorder with important consequences for facilitating our understanding of the underlying neurophysiology of this condition. Understanding these processes is essential for early identification of patients at risk for developing bipolar disorder and may lead to the development of new treatments aimed at preserving normal network activity, while protecting portions of the ALN that may be especially vulnerable to the effects of network dysregulation. By focusing on network dysfunction, rather than specific structures, we will continue to move away from the phrenology of bipolar disorder to a more complete understanding of the complex neuronal processes that underlie the spectrum of bipolar symptomatology.  CNS

 

References

1. Narrow WE, Rae DS, Robins LN, Regier DA. Revised prevalence estimates of mental disorders in the United States: using a clinical significance criterion to reconcile 2 survey’s estimates. Arch Gen Psychiatry. 2002;59:115-123.
2. Angst J. The emerging epidemiology of hypomania and bipolar II disorder. J Affect Disord. 1998;50:143-151.
3. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. text rev. Washington DC: American Psychiatric Association; 2000.
4. Papez JW. A proposed mechanism of emotion. 1937. J Neuropsychiatry Clin Neurosci. 1995;7:103-112
5. Martin JH. The limbic system, In; Martin JH, ed. Neuroanatomy Text and Atlas. 2nd ed. Stamford, Conn: Appletone & Lange; 1996:447-480.
6. George MS, Ketter TA, Parekh PI, et al. Brain activity during transient sadness and happiness in healthy women. Am J Psychiatry. 1995;152:341-351.
7. Mayberg HS, Liotti M, Brannan SK, et al. Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness. Am J Psychiatry. 1999;156:675-682.
8. Kimbrell TA, George MS, Parekh PI, et al. Regional brain activity during transient self-induced anxiety and anger in healthy adults. Biol Psychiatry. 1999;46:454-465.
9. Price JL. Prefrontal cortical networks related to visceral function and mood. Ann N Y Acad Sci. 1999;877:383-396.
10. Chen CH, Lennox B, Jacob R, et al. Explicit and implicit facial affect recognition in manic and depressed States of bipolar disorder: a functional magnetic resonance imaging study. Biol Psychiatry. 2005;59:31-39.
11. Bearden CE, Hoffman KM, Cannon TD. The neuropsychology and neuroanatomy of bipolar affective disorder: a critical review. Bipolar Disord. 2001;3:106-150.
12. Strakowski SM, Adler CM, Holland SK, Mills N, DelBello MP, Eliassen JC. Abnormal fMRI brain activation in euthymic bipolar disorder during a counting Stroop task. Am J Psychiatry. 2005;162:1697-1705.
13. Strakowski SM, Adler CM, Holland SK, Mills NP, DelBello MP. A preliminary fMRI study of sustained attention in unmedicated, euthymic bipolar disorder. Neuropsychopharmacology. 2004;29:1734-1740.
14. Adler CM, Sax KW, Holland SK, Schmithorst V, Rosenberg HL, Strakowski SM. Comparison of neuronal activation with two attention tasks in healthy volunteers: an fMRI study. Synapse. 2001;42:266-272.
15. Adler CM, Holland SK, Schmithorst V, Tuchfarber MJ, Strakowski SM. Changes in neuronal activation in patients with bipolar disorder during performance of a working memory task. Bipolar Disord. 2004;6:540-549.
16. Haznedar MM, Roversi F, Pallanti S, et al. Fronto-thalamo-striatal gray and white matter volumes and anisotropy of their connections in bipolar spectrum illnesses. Biol Psychiatry. 2005;57:733-742.
17. Strakowski SM, DelBello MP, Adler CM. The functional neuroanatomy of bipolar disorder: a review of neuroimaging findings. Mol Psychiatry. 2005;10:105-116.
18. Ketter TA, Wang PW, Dieckmann NF, et al. Brain anatomic circuits and the pathophysiology of affective disorders. In: Soares JC, ed. Brain Imaging in Affective Disorders.  New York, NY: Marcel Dekker. 2002;79-118.
19. Ketter TA, Kimbrell TA, George MS, et al. Effects of mood and subtype on cerebral glucose metabolism in treatment-resistant bipolar disorder. Biol Psychiatry. 2001;49:97-109.
20. Phillips ML, Drevets WC, Rauch SL, Lane R. Neurobiology of emotion perception II: Implications for major psychiatric disorders. Biol Psychiatry. 2003;54:515-528.
21. Drevets WC. Prefrontal cortical-amygdalar metabolism in major depression. Ann N Y Acad Sci. 1999;877:614-637.
22. McDonald AJ, Shammah-Lagnado SJ, Shi C, Davis M. Cortical afferents to the extended amygdala. Ann N Y Acad Sci. 1999;877:309-338.
23. Sax KW, Strakowski SM, Zimmerman ME, DelBello MP, Keck PE Jr, Hawkins JM. Frontosubcortical neuroanatomy and the continuous performance test in mania. Am J Psychiatry. 1999;156:139-141.
24. Cecil KM, DelBello MP, Morey R, Strakowski SM. Frontal lobe differences in bipolar disorder as determined by proton MR spectroscopy. Bipolar Disord. 2002;4:357-365.
25. Mega MS, Cummings JL, Salloway S, Malloy P. The limbic system: an anatomic, phylogenetic, and clinical perspective. J Neuropsychiatr Clin Neurosci. 1997;9:315-330.
26. Ongür D, Price JL. The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys, and  humans. Cerebral Cortex. 2000;10:206-219.
27. Öngür D, An X, Price JL. Prefrontal cortical projections to the hypothalamus in macaque monkeys. J Comp Neurol. 1998;401:480-505.
28. Frangou S. The Maudsley Bipolar Disorder Project. Epilepsia. 2005;46(suppl 4):19-25.
29. Cecil KM, DelBello MP, Sellars MC, Strakowski SM. Proton MR spectroscopy of the frontal lobe and cerebellar vermis in children with mood disorder and a familial risk for bipolar disorders. J Child Adol Psychopharmacology. 2003;13:545-555.
30. An X, Bandler R, Ongur D, Price JL. Prefrontal cortical projections to longitudinal columns in the midbrain periacqueductal gray in macaque monkeys. J Comp Neurol. 1998;401:455-479.
31. Russchen FT, Bakst I, Amaral DG, Price JL. The amygdalostriatal projections in the monkey, an anterograde tracing study. Brain Res. 1985;329:241-257.
32. Haber SN, Lynd E, Klein C, Groenewegen HJ. Topographic organization of the ventral striatal efferent projections in the rhesus monkey: an anterograde tracing study. J Comp Neurol. 1990;293:282-298.
33. Drevets WC, Price JL, Simpson JR Jr, et al. Subgenual prefrontal cortex abnormalities in mood disorders. Nature. 1997;386:824-827.
34. Lopez-Larson MP, DelBello MP, Zimmerman ME, Schwiers ML, Strakowski SM. Regional prefrontal gray and white matter abnormalities in bipolar disorder. Biol Psychiatry. 2002;52:93-100.
35. Hajek T, Carrey N, Alda M. Neuroanatomical abnormalities as risk factors for bipolar disorder. Bipolar Disord. 2005;7:393-403.
36. Damasio AR. Neuropsychology. Towards a neuropathology of emotion and mood. Nature. 1997;386:769-770.
37. Sassi RB, Brambilla P, Hatch JP, et al. Reduced left anterior cingulate volumes in untreated bipolar patients. Biol Psychiatry. 2004;56:467-475.
38. Kaur S, Sassi RB, Axelson D, et al. Cingulate cortex anatomical abnormalities in children and adolescents with bipolar disorder. Am J Psychiatry. 2005;162:1637-1643.
39. Bruno SD, Barker GJ, Cercignani M, Symms M, Ron MA. A study of bipolar disorder using magnetization transfer imaging and voxel-based morphometry. Brain. 2004;127:2433-2440.
40. Doris A, Belton E, Ebmeier KP, Glabus MF, Marshall I. Reduction of cingulate gray matter density in poor outcome bipolar illness. Psychiatry Res. 2004;130:153-159.
41. Carmichael ST, Price JL. Limbic connections of the orbital and medial prefrontal cortex in the macaque monkey. J Comp Neurol. 1995;363:615-641.
42. Barbas H, Blatt GR. Topographically specific hippocampal projections target functionally distinct prefrontal areas in the rheusas monkey. Hippocampus. 1995;5:511-533.
42. Herman JP, Cullinan WE. Neurocircuitry of stress: central control of the hypothalamo-pituitary-adrenocortical axis. Trends Neurosci. 1997;20:78-84.
44. Frazier JA, Ahn MS, DeJong S, Bent EK, Breeze JL, Giuliano AJ. Magnetic resonance imaging studies in early-onset bipolar disorder: a critical review. Harv Rev Psychiatry. 2005;13:125-140.
45. DelBello MP, Zimmerman ME, Mills NP, Getz GE, Strakowski SM. Magnetic resonance imaging analysis of amygdala and other subcortical brain regions in adolescents with bipolar disorder. Bipolar Disord. 2004;6:43-52.
46. Alexander GE, DeLong MR, Strick PL. Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Ann Rev Neurosci. 1986;9:357-381.
47. Adleman NE, Barnea-Goraly N, Chank KD. Review of magnetic resonance imaging and spectroscopy studies in children with bipolar disorder. Expert Rev Neurother. 2004;4:69-77.
48. Allen G, McColl R, Barnard H, Ringe WK, Fleckenstein J, Cullum CM. Magnetic resonance imaging of cerebellar-prefrontal and cerebellar-parietal functional connectivity. Neuroimage. 2005;28:39-48.
49. DelBello MP, Strakowski SM, Zimmerman ME, Sax KW, Hawkins JM. MRI analysis of the cerebellum in bipolar disorder. Neuropsychopharmacology. 1999;21:63-68.
50. Mills N, DelBello MP, Adler CM, Strakowski SM. Cerebellar vermal abnormalities in bipolar disorder: an MRI analysis. Am J Psychiatry. 2005;162:1530-1533.
51. Monks PJ, Thompson JM, Bullmore ET, et al. A functional MRI study of working memory task in euthymic bipolar disorder: evidence for task-specific dysfunction. Bipolar Disord. 2004;6:550-564.
52. Malhi GS, Lagopoulos J, Sachdev PS, Ivanovski B, Shnier R. An emotional Stroop functional MRI study of euthymic bipolar disorder. Bipolar Disord. 2005;7(suppl 5):58-69.
53. Yurgelun-Todd DA, Gruber SA, Kanayama G, Killgore WD, Baird AA, Young AD. fMRI during affect discrimination in bipolar affective disorder. Bipolar Disord. 2000;2(3 pt 2):237-248.
54. Altshuler LL, Curran JG, Hauser P, Mintz J, Denicoff K, Post R. T2 hyperintensities in bipolar disorder: magnetic resonance imaging comparison and literature meta-analysis. Am J Psychiatry. 1995;152:1139-1144.
55. Bruno SD. Neuroimaging of bipolar disorder: emphasis on novel MRI techniques. Epilepsia. 2005; 46(suppl 4):14-18.
56. Davis KA, Kwon A, Cardenas VA, Deicken RF. Decreased cortical gray and cerebral white matter in male patients with familial bipolar I disorder. J Affect Disord. 2004;82:475-485.
57. Kiesappa T, van Erp TG, Haukka J, et al. Reduced left hemispheric white matter volume in twins with bipolar I disorder. Biol Psychiatry. 2003;54:896-905.
58. Adler CM, Holland SK, Schmithorst V, et al. Abnormal frontal white matter tracts in bipolar disorder: A diffusion tensor imaging study. Bipolar Disord. 2004;6:197-203.
59. Adler CM, Adams J, DelBello MP, et al. Evidence of white matter pathology in bipolar disorder adolescents experiencing their first episode of mania: a diffusion tensor imaging study. Am J Psychiatry. 2006;163:322-324.
60. Adler CM, Adams J, DelBello MP, et al. Evidence of white matter pathology in first-episode manic adolescents with bipolar disorder: a diffusion tensor imaging study. Abstract presented at: Annual Meeting of the American College of Neuropsychopharmacology. April 10-15, 2005; Kona, Hawaii.
61. Caligiuri MP, Brown GG, Meloy MJ, et al. An fMRI study of affective state and medication on cortical and subcortical brain regions during motor performance in bipolar disorder. Psychiatry Res. 2003;123:171-182.
62. Blumberg HP, Leung HC, Skudlarski P, et al. A functional magnetic resonance imaging study of bipolar disorder: state- and trait-related dysfunction in ventral prefrontal cortices. Arch Gen Psychiatry. 2003;60:601-609.
63. Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW. Mapping cortical change across the human life span. Nat Neurosci. 2003;6:309-315.
64. Machado CJ, Bachevalier J. Non-human primate models of childhood psychopathology: the promise and the limitations. J Child Psychol Psychiatry. 2003;44:64-87.
65. Sanches M, Roberts RL, Sassi RB, et al. Developmental abnormalities in striatum in young bipolar patients: a preliminary study. Bipolar Disord. 2005;7:153-158.
66. Adler CM, DelBello MP, Levine A, et al. Complementary morphometric and functional corticolimbic changes in adult bipolar patients. Presented as part of the workshop: “Corticolimbic Changes in Bipolar Disorder: A Developmental Perspective.” Chair: Dr. Caleb M. Adler.  Workshop presented at: Annual Meeting of the American College of Neuropsychopharmacology. April 10-15, 2005; Kona, Hawaii.
66. Adler CM, Levine A, DelBello MP, Strakowski SM. Changes in gray matter volume in patients with bipolar disorder. Biol Psychiatry. 2005;58:151-157.
67. Stork C, Renshaw PF. Mitochondrial dysfunction in bipolar disorder: evidence from magnetic resonance spectroscopy research. Mol Psychiatry. 2005;10:900-919.



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