Skip to main content
SpringerLink
Log in

MRI Studies in Late-Life Mood Disorders

  • Chapter
  • First Online:
Brain Imaging in Behavioral Neuroscience

Part of the book series: Current Topics in Behavioral Neurosciences ((CTBN,volume 11))

Abstract

There are well-established patterns of structural brain changes associated with aging. The change in brain volume with age and with the diseases of aging presents a particular challenge for MRI studies in the elderly. Structural MRI is important for studies in normal aging, late-life depression, dementia, Alzheimer disease and other cognitive disorders to examine how age-associated changes in neuroanatomy are associated with specific age-related changes in brain function. Functional MRI has been a major advance for the fields of cognitive and affective neuroscience by allowing investigators to test theories of the underlying neural pathways controlling cognitive and emotional processes. In this chapter, we will review the contribution of MRI studies to late-life mood and anxiety disorders: major depression, bipolar disorder and anxiety disorders in late-life.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Aguirre GK, John AD, Wang J (2005) Perfusion fMRI for functional neuroimaging. In Neuroimaging, Part A 66:213–236, Academic Press. http://www.sciencedirect.com/science/article/B7CV0-4HX9TNB-7/2/5cf4567f9e04a1d0150f4e642a68fd1a

  • Aizenstein HJ, Butters MA, Figurski JL, Stenger VA, Reynolds CF III, Carter CS (2005) Prefrontal and striatal activation during sequence learning in geriatric depression. Biol Psychiatry 58(4):290–296. doi:10.1016/j.biopsych.2005.04.023

    Article  PubMed  Google Scholar 

  • Aizenstein HJ, Butters MA, Clark KA, Figurski JL, Stenger VA , Nebes RD et al (2006) Prefrontal and striatal activation in elderly subjects during concurrent implicit and explicit sequence learning. Neurobiol Aging 27(5):741–751

    Article  PubMed  Google Scholar 

  • Aizenstein HJ, Clark KA, Butters MA, Cochran J, Stenger VA, Meltzer CC, Reynolds CF, Carter CS (2011) The BOLD hemodynamic response in healthy aging. J Cogn Neurosci 16(5):786–793. doi:10.1162/089892904970681

    Article  Google Scholar 

  • Alexopoulos GS, Kiosses DN, Choi SJ, Murphy CF, Lim KO (2002) Frontal white matter microstructure and treatment response of late-life depression: a preliminary study. Am J Psychiatry 159(11):1929–1932. doi:10.1176/appi.ajp.159.11.1929

    Article  PubMed  Google Scholar 

  • Alexopoulos GS, Murphy CF, Gunning-Dixon FM, Latoussakis V, Kanellopoulos D, Klimstra S, Lim KO, Hoptman MJ (2008) Microstructural white matter abnormalities and remission of geriatric depression. Am J Psychiatry 165(2):238–244. doi:10.1176/appi.ajp.2007.07050744

    Article  PubMed  Google Scholar 

  • Alsop DC, Dai W, Grossman M, Detre JA (2010) Arterial spin labeling blood flow MRI: its role in the early characterization of Alzheimer's disease. J Alzheimers Dis 20(3):871–880

    PubMed  Google Scholar 

  • Altshuler LL, Curran JG, Hauser P, Mintz J, Denicoff K, Post R (1995) T2 hyperintensities in bipolar disorder: magnetic resonance imaging comparison and literature meta-analysis. Am J Psychiatry 152(8):1139–1144

    PubMed  CAS  Google Scholar 

  • Andreescu C, Butters M, Lenze EJ, Venkatraman VK, Nable M, Reynolds CF III et al (2009a) fMRI activation in late-life anxious depression: a potential biomarker. Int J Geriatr Psychiatry 24(8):820–828

    Google Scholar 

  • Andreescu C, Wu M, Siegle Greg J, Thompson W, Aizenstein H (2009b) Worry modulation in late-life generalized anxiety disorder. Presented at the ACNP 48 annual meeting. Hollywood, Florida

    Google Scholar 

  • Andreescu C, Gross JJ, Lenze E, Edelman KD, Snyder S, Tanase C, Aizenstein H (2011) Altered cerebral blood flow patterns associated with pathologic worry in the elderly. Depression and Anxiety 28(3):202–209. doi:10.1002/da.20799

    Article  PubMed  Google Scholar 

  • Astrom M (1996) Generalized anxiety disorder in stroke patients: a 3-year longitudinal study. Stroke 27(2):270–275

    Article  PubMed  CAS  Google Scholar 

  • Ballmaier M, Kumar A, Thompson PM, Narr KL, Lavretsky H, Estanol L, DeLuca H, Toga AW (2004a) Localizing gray matter deficits in late-onset depression using computational cortical pattern matching methods. Am J Psychiatry 161(11):2091–2099. doi:10.1176/appi.ajp.161.11.2091

    Article  PubMed  Google Scholar 

  • Ballmaier M, Toga AW, Blanton RE, Sowell ER, Lavretsky H, Peterson J, Pham D, Kumar A (2004b) Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: an MRI-based parcellation of the prefrontal cortex. Am J Psychiatry 161(1):99–108. doi:10.1176/appi.ajp.161.1.99

    Article  PubMed  Google Scholar 

  • Baxter LR, Schwartz JM, Phelps ME, Mazziotta JC, Guze BH, Selin CE, Gerner RH, Sumida RM (1989) Reduction of prefrontal cortex glucose metabolism common to three types of depression. Arch Gen Psychiatry 46(3):243–250. doi:10.1001/archpsyc.1989.01810030049007

    Article  PubMed  CAS  Google Scholar 

  • Bell-McGinty S, Butters MA, Meltzer CC, Greer PJ, Reynolds CF, Becker JT (2002) Brain morphometric abnormalities in geriatric depression: long-term neurobiological effects of illness duration. Am J Psychiatry 159(8):1424–1427. doi:10.1176/appi.ajp.159.8.1424

    Article  PubMed  Google Scholar 

  • Bench CJ, Friston KJ, Brown RG, Frackowiak RSJ, Dolan RJ (1993) Regional cerebral blood flow in depression measured by positron emission tomography: the relationship with clinical dimensions. Psychol Med 23(03):579–590. doi:10.1017/S0033291700025368

    Article  PubMed  CAS  Google Scholar 

  • Beyer JL, Kuchibhatla M, Payne ME, Moo-Young M, Cassidy F, Macfall KJ, Krishnan RR (2004) Hippocampal volume measurement in older adults with bipolar disorder. Am J Geriatr Psychiatr Off J Am Assoc Geriatric Psychiatry 12(6):613–620. doi:10.1176/appi.ajgp.12.6.613

    Google Scholar 

  • Brassen S, Kalisch R, Weber-Fahr W, Braus DF, Buchel C (2008) Ventromedial prefrontal cortex processing during emotional evaluation in late-life depression: a longitudinal functional magnetic resonance imaging study. Biol Psychiatry 64(4):349–355

    Article  PubMed  Google Scholar 

  • Butters MA, Whyte EM, Nebes RD, Begley AE, Dew MA, Mulsant BH, Zmuda MD et al (2004) The nature and determinants of neuropsychological functioning in late-life depression. Arch Gen Psychiatr 61(6):587–595. doi:10.1001/archpsyc.61.6.587

    Article  PubMed  Google Scholar 

  • Caudle DD, Senior AC, Wetherell JL, Rhoades HM, Beck JG, Kunik ME, Lynn Snow A, Wilson NL, Stanley MA (2007) Cognitive errors, symptom severity, and response to cognitive behavior therapy in older adults with generalized anxiety disorder. American J Geriatr Psychiatr 15(8):680–689. doi:10.1097/JGP.0b013e31803c550d

    Article  Google Scholar 

  • de Asis JM, Stern E, Alexopoulos GS, Pan H, Van Gorp W, Blumberg H, et al (2001) Hippocampal and anterior cingulate activation deficits in patients with geriatric depression. Am J Psychiatry 158(8):1321–1323

    Google Scholar 

  • de Beurs E, Beekman ATF, van Balkom AJLM, Deeg DJH, van Dyck R, van Tilburg W (1999) Consequences of anxiety in older persons: its effect on disability, well-being and use of health services. Psychol Med 29(03):583–593

    Article  PubMed  Google Scholar 

  • de Charms RC (2007) Reading and controlling human brain activation using real-time functional magnetic resonance imaging. Trends Cognit Sci 11(11):473–481. doi:10.1016/j.tics.2007.08.014

    Article  Google Scholar 

  • de Charms RC (2008) Applications of real-time fMRI. Nat Rev Neurosci 9(9):720–729. doi:10.1038/nrn2414

    Article  Google Scholar 

  • de Charms RC, Maeda F, Glover GH, Ludlow D, Pauly JM, Soneji D, Gabrieli JDE, Mackey SC, Raichle ME (2005) Control over brain activation and pain learned by using real-time functional MRI. Proc Natl Acad Sci USA 102(51):18626–18631

    Article  Google Scholar 

  • Delaloye C, de Bilbao F, Moy G, Baudois S, Weber K, Canuto A, Campos L et al (2009) Neuroanatomical and neuropsychological features of euthymic patients with bipolar disorder. Am J Geriatr Psychiatr Off J Am Assoc Geriatric Psychiatry 17(12):1012–1021. doi:10.1097/JGP.0b013e3181b7f0e2

    Google Scholar 

  • Detre JA, Leigh JS, Williams DS, Koretsky AP (1992) Perfusion imaging. Magn Reson Med 23(1):37–45. doi:10.1002/mrm.1910230106

    Article  PubMed  CAS  Google Scholar 

  • Ekman P, Friesen WV (1971) Constants across cultures in the face and emotion. J Pers Soc Psychol 17(2):124–129. doi:10.1037/h0030377

    Article  PubMed  CAS  Google Scholar 

  • Fernández‐Seara MA, Wang J, Wang Z, Korczykowski M, Guenther M, Feinberg DA, Detre JA (2007) Imaging mesial temporal lobe activation during scene encoding: comparison of fMRI using BOLD and arterial spin labeling. Hum Brain Mapp 28(12):1391–1400. doi:10.1002/hbm.20366

    Article  PubMed  Google Scholar 

  • Greenwald BS, Kramer-Ginsberg E, Krishnan KR, Ashtari M, Auerbach C, Patel M (1998) Neuroanatomic localization of magnetic resonance imaging signal hyperintensities in geriatric depression. Stroke: a J Cereb Circul 29(3):613–617

    Article  CAS  Google Scholar 

  • Greicius MD, Flores BH, Menon V, Glover GH, Solvason HB, Kenna H, Reiss AL, Schatzberg AF (2007) Resting state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol Psychiatry 62(5):429–437. doi:10.1016/j.biopsych.2006.09.020

    Article  PubMed  Google Scholar 

  • Greicius MD et al (2008) Resting-state functional connectivity reflects structural connectivity in the default mode network. Cerebral Cortex 19:72–78

    Article  PubMed  Google Scholar 

  • Gron G, Bittner D, Schmitz B, Wunderlich AP, Riepe MW (2002) Subjective memory complaints: objective neural markers in patients with Alzheimer's disease and major depressive disorder. Ann Neurol 51(4):491–498

    Article  PubMed  Google Scholar 

  • Gunning-Dixon FM, Raz N (2000) The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology 14(2):224–232. doi:10.1037/0894-4105.14.2.224

    Article  PubMed  CAS  Google Scholar 

  • Hamilton JP, Glover GH, Hsu JJ, Johnson RF, Gotlib IH (2011) Modulation of subgenual anterior cingulate cortex activity with real-time neurofeedback. Hum Brain Mapp 32(1):22–31. doi: 10.1002/hbm.20997

    Article  PubMed  Google Scholar 

  • Insel T, Cuthbert B, Garvey M, Heinssen R, Pine DS, Quinn K, Sanislow C, Wang P (2010) Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am J Psychiatry 167(7):748–751. doi:10.1176/appi.ajp.2010.09091379

    Article  PubMed  Google Scholar 

  • Kenny ER, O’Brien JT, Cousins DA, Richardson J, Thomas AJ, Firbank MJ et al (2010) Functional connectivity in late-life depression using resting-state functional magnetic resonance imaging. Am J Geriatr Psychiatry 18(7):643–651

    PubMed  Google Scholar 

  • Krishnan KRR, McDonald WM, Escalona PR, Doraiswamy PM, Chul Na, Husain MM, Figiel GS, Boyko OB, Ellinwood EH, Nemeroff CB (1992) Magnetic resonance imaging of the caudate nuclei in depression: preliminary observations. Arch Gen Psychiatry 49(7):553–557. doi:10.1001/archpsyc.1992.01820070047007

    Article  PubMed  CAS  Google Scholar 

  • Kumar A, Newberg A, Alavi A, Berlin J, Smith R, Reivich M (1993) Regional cerebral glucose metabolism in late-life depression and Alzheimer disease: a preliminary positron emission tomography study. Proc Natl Acad Sci U S A 90(15):7019–7023

    Article  PubMed  CAS  Google Scholar 

  • Kumar A, Ajilore O (2008) Magnetic resonance imaging and late-life depression: potential biomarkers in the era of personalized medicine. Am J Psychiatry 165(2):166–168. doi:10.1176/appi.ajp.2007.07111771

    Article  PubMed  Google Scholar 

  • Kumar A, Bilker W, Jin Z, Udupa J (2000) Atrophy and high intensity lesions: complementary neurobiological mechanisms in late-life major depression. Neuropsychopharmacology 22(3):264–274. doi:10.1016/S0893-133X(99)00124-4

    Article  PubMed  CAS  Google Scholar 

  • Lai TJ, Payne ME, Byrum CE, Steffens DC, Ranga K, Krishnan R (2000) Reduction of orbital frontal cortex volume in geriatric depression. Biol Psychiatry 48(10):971–975. doi:10.1016/S0006-3223(00)01042-8

    Article  PubMed  CAS  Google Scholar 

  • Lang PJ, Bradley MM (1997) International affective picture systems (iaps): technical manual and affective ratings. University of Florida, Gainesville

    Google Scholar 

  • Lavretsky H, Small GW (2004) Mixed cognitive and depressive symptoms. In Late-Life Depression, Oxford University Press, New York

    Google Scholar 

  • Lee S-H, Payne ME, Steffens DC, McQuoid DR, Lai T-J, Provenzale JM, Krishnan KRR (2003) Subcortical lesion severity and orbitofrontal cortex volume in geriatric depression. Biol Psychiatry 54(5):529–533. doi:10.1016/S0006-3223(03)00063-5

    Article  PubMed  Google Scholar 

  • Lesser IM, Mena I, Boone KB, Miller BL, Mehringer CM, Wohl M (1994) Reduction of cerebral blood flow in older depressed patients. Arch Gen Psychiatry 51(9):677–686

    Article  PubMed  CAS  Google Scholar 

  • Mantella RC, Butters MA, Dew MA, Mulsant BH, Begley AE, Tracey MB, Shear K, Reynolds CF, Lenze EJ (2007) Cognitive impairment in late-life generalized anxiety disorder. Am J Geriatr Psychiatr 15(8):673–679. doi:10.1097/JGP.0b013e31803111f2

    Article  Google Scholar 

  • Mayberg HS (1997) Limbic-cortical dysregulation: a proposed model of depression. J Neuropsychiatry Clin Neurosci 9(3):471–481

    PubMed  CAS  Google Scholar 

  • Mayberg HS, Lozano AM et al (2005) Deep brain stimulation for treatment-resistant depression. Neuron 45(5):651–656

    Article  PubMed  CAS  Google Scholar 

  • Morris P, Rapoport SI (1990) Neuroimaging and affective disorder in late life: a review. Canadian Can J Psychiatry. Revue Canadienne De Psychiatrie 35(4):347–354

    CAS  Google Scholar 

  • Ochsner KN, Bunge SA, Gross JJ, Gabrieli JDE (2002) Rethinking feelings: an fMRI study of the cognitive regulation of emotion. J Cognit Neurosci 14(8):1215–1229. doi:10.1162/089892902760807212

    Article  Google Scholar 

  • Pantel J, Schröder J, Essig M, Popp D, Dech H, Knopp MV, Schad LR, Eysenbach K, Backenstra M, Friedlinger M (1997) Quantitative magnetic resonance imaging in geriatric depression and primary degenerative dementia. J Affect Disord 42(1):69–83. doi:10.1016/S0165-0327(96)00105-X

    Article  PubMed  CAS  Google Scholar 

  • Pfefferbaum A, Adalsteinsson E, Sullivan EV (2005) Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging. NeuroImage 26(3):891–899. doi:10.1016/j.neuroimage.2005.02.034

    Article  PubMed  Google Scholar 

  • Phillips ML, Drevets WC, Rauch SL, Lane R (2003) Neurobiology of emotion perception II: implications for major psychiatric disorders. Biol Psychiatry 54(5):515–528. doi:10.1016/S0006-3223(03)00171-9

    Article  PubMed  Google Scholar 

  • Pierre JM (2010) The borders of mental disorder in psychiatry and the dsm. J Psychiatr Pract 16(6):375–386. doi:10.1097/01.pra.0000390756.37754.68

    Article  PubMed  Google Scholar 

  • Rabins PV, Pearlson GD, Aylward E, Kumar AJ, Dowell K (1991) Cortical magnetic resonance imaging changes in elderly inpatients with major depression. Am J Psychiatry 148(5):617–620

    PubMed  CAS  Google Scholar 

  • Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) A default mode of brain function. Proc Natl Acad Sci USA 98(2):676–682

    Article  PubMed  CAS  Google Scholar 

  • Raz N, Gunning FM, Head D, Dupuis JH, McQuain J, Briggs SD, Loken WJ, Thornton AE, Acker JD (1997) Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. Cereb Cortex 7(3):268–282. doi:10.1093/cercor/7.3.268

    Article  PubMed  CAS  Google Scholar 

  • Raz N, Gunning-Dixon FM, Head D, Dupuis JH, Acker JD (1998) Neuroanatomical correlates of cognitive aging: Evidence from structural magnetic resonance imaging. Neuropsychology 12(1):95–114. doi:10.1037/0894-4105.12.1.95

    Article  PubMed  CAS  Google Scholar 

  • Raz N, Lindenberger U, Rodrigue KM, Kennedy KM, Head D, Williamson A, Dahle C, Gerstorf D, Acker JD (2005) Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex 15(11):1676–1689. doi:10.1093/cercor/bhi044

    Article  PubMed  Google Scholar 

  • Resnick SM, Goldszal AF, Davatzikos C, Golski S, Kraut MA, Metter EJ, Bryan RN, Zonderman AB (2000) One-year age changes in MRI brain volumes in older adults. Cereb Cortex 10(5):464–472. doi:10.1093/cercor/10.5.464

    Article  PubMed  CAS  Google Scholar 

  • Reuter-Lorenz PA, Lustig C (2005) Brain aging: reorganizing discoveries about the aging mind. Curr Opin Neurobiol 15(2):245–251. doi:10.1016/j.conb.2005.03.016

    Article  PubMed  CAS  Google Scholar 

  • Rosano C, Becker J, Lopez O, Lopez-Garcia P, Carter CS, Newman A, Kuller L, Aizenstein H (2005) Morphometric analysis of gray matter volume in demented older adults: exploratory analysis of the cardiovascular health study brain mri database. Neuroepidemiology 24(4):221–229. doi:10.1159/000085140

    Article  PubMed  CAS  Google Scholar 

  • Sackeim HA, Prohovnik I, Moeller JR, Brown RP, Apter S, Prudic J, et al (1990) Regional cerebral blood flow in mood disorders: i. comparison of major depressives and normal controls at rest. Arch Gen Psychiatry 47(1):60–70. doi:10.1001/archpsyc.1990.01810130062009

    Article  PubMed  CAS  Google Scholar 

  • Salat DH, Tuch DN, Greve AJ, van der Kouwe W, Hevelone ND, Zaleta AK, Rosen BR et al (2005) Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobio Aging 26(8):1215–1227. doi:10.1016/j.neurobiolaging.2004.09.017.

    Google Scholar 

  • Salloway S, Malloy P, Kohn R, Gillard E, Duffy J, Rogg J, Tung G, Richardson E, Thomas C, Westlake R (1996) MRI and neuropsychological differences in early-and late-life-onset geriatric depression. Neurology 46(6):1567–1574

    Article  PubMed  CAS  Google Scholar 

  • Salloway S, Boyle PA, Correia S, Malloy PF, Cahn-Weiner DA, Lon Schneider K, Krishnan RR, Nakra R (2002) The relationship of MRI subcortical hyperintensities to treatment response in a trial of sertraline in geriatric depressed outpatients. Am J Geriatr Psychiatr Off J Am Assoc Geriatric Psychiatry 10(1):107–111

    Google Scholar 

  • Schmahmann JD, Pandya DN, Wang R, Dai G, D’Arceuil HE, de Crespigny JA, van Wedeen J (2007) Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. Brain 130(3):630–653. doi:10.1093/brain/awl359

    Article  PubMed  Google Scholar 

  • Shah PJ, Glabus MF, Goodwin GM, Ebmeier KP (2002) Chronic, treatment-resistant depression and right fronto-striatal atrophy. British J Psychiatr 180(5):434–440. doi:10.1192/bjp.180.5.434

    Article  CAS  Google Scholar 

  • Sheline YI, Barch DM, Price JL, Rundle MM, Vaishnavi SN, Snyder AZ, Mintun MA, Wang S, Coalson RS, Raichle ME (2009) The default mode network and self-referential processes in depression. In: Proceedings of the National Academy of Sciences 106(6):1942–1947. doi:10.1073/pnas.0812686106

    Article  CAS  Google Scholar 

  • Sheline YI, Sanghavi M, Mintun MA, Gado MH (1999) Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression. Journal Neurosci 19(12):5034–5043

    CAS  Google Scholar 

  • Siegle GJ, Steinhauer SR, Thase ME, Stenger VA, Carter CS (2002) Can’t shake that feeling: event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals. Biol Psychiatry 51(9):693–707. doi:10.1016/S0006-3223(02)01314-8

    Article  PubMed  Google Scholar 

  • Smith GS, Reynolds CF III, Pollock B, Derbyshire S, Nofzinger E, Dew MA et al (1999) Cerebral glucose metabolic response to combined total sleep deprivation and antidepressant treatment in geriatric depression. Am J Psychiatry 156(5):683–689

    Google Scholar 

  • Smith GS, Kramer E, Ma Y, Kingsley P, Dhawan V, Chaly T et al (2009) The functional neuroanatomy of geriatric depression. Int J Geriatr Psychiatry 24(8):798–808

    Google Scholar 

  • Soderlund H, Nyberg L, Adolfsson R, Nilsson L, Launer L (2003) High prevalence of white matter hyperintensities in normal aging: relation to blood pressure and cognition. Cortex 39(4–5):1093–1105. doi:10.1016/S0010-9452(08)70879-7

    Article  PubMed  Google Scholar 

  • Steffens DC, Krishnan KRR (1998) Structural neuroimaging and mood disorders: recent findings, implications for classification, and future directions. Biol Psychiatry 43(10):705–712. doi:10.1016/S0006-3223(98)00084-5

    Article  PubMed  CAS  Google Scholar 

  • Steffens DC, Payne ME, Greenberg DL, Byrum CE, Welsh-Bohmer KA, Ryan Wagner H, MacFall JR (2002) Hippocampal volume and incident dementia in geriatric depression. Am J Geriatr Psychiatr Off J Am Assoc Geriatric Psychiatry 10(1):62–71

    Google Scholar 

  • Taylor WD, MacFall JR, Steffens DC, Payne ME, Provenzale JM, Ranga Rama Krishnan K (2003) Localization of age-associated white matter hyperintensities in late-life depression. Prog Neuropsychopharmacol Biol Psychiatry 27(3):539–544. doi:10.1016/S0278-5846(02)00358-5

    Article  PubMed  Google Scholar 

  • Taylor WD, MacFall JR, Payne Martha E, McQuoid DR, Provenzale JM, Steffens DC, Krishnan KRR (2004) Late-life depression and microstructural abnormalities in dorsolateral prefrontal cortex white matter. Am J Psychiatry 161(7):1293–1296. doi:10.1176/appi.ajp.161.7.1293

    Article  PubMed  Google Scholar 

  • Tupler LA, Ranga K, Krishnan R, McDonald WM, Dombeck CB, D’Souza S, Steffens DC (2002) Anatomic location and laterality of MRI signal hyperintensities in late-life depression. J Psychosom Res 53(2):665–676. doi:10.1016/S0022-3999(02)00425-7

    Article  PubMed  Google Scholar 

  • van Es ACGM, van der Flier WM, Admiraal-Behloul F, Olofsen H, Bollen ELEM, Middelkoop HAM, Weverling-Rijnsburger AWE, Westendorp RGJ, van Buchem MA (2006) Magnetization transfer imaging of gray and white matter in mild cognitive impairment and Alzheimer’s disease. Neurobiol Aging 27(12):1757–1762. doi:10.1016/j.neurobiolaging.2005.09.042

    Article  PubMed  Google Scholar 

  • Vasudev A, Thomas A (2010) Bipolar disorder’ in the elderly: what’s in a name? Maturitas 66(3):231–235. doi:10.1016/j.maturitas.2010.02.013

    Article  PubMed  Google Scholar 

  • Wetherell JL, Gatz M, Pedersen NL (2001) A longitudinal analysis of anxiety and depressive symptoms. Psychol Aging 16(2):187–195

    Article  PubMed  CAS  Google Scholar 

  • Wierenga CE, Bondi MW (2007) Use of functional magnetic resonance imaging in the early identification of Alzheimer’s disease. Neuropsychol Rev 17(2):127–143. doi:10.1007/s11065-007-9025-y

    Article  PubMed  Google Scholar 

  • Wittchen HU, Hoyer J (2001) Generalized anxiety disorder: nature and course. J Clin Psychiatry 62(Suppl 11):15–19 discussion 20-21

    PubMed  Google Scholar 

  • Wu M, Andreescu C, Butters MA, Tamburo R, Reynolds CF III, Aizenstein H (2011) Default-mode network connectivity and white matter burden in late-life depression. Psychiatry Res 194(1):39–46. PMID: 21824753

    Google Scholar 

  • Wu M, Carmichael O, Lopez-Garcia P, Carter CS, Aizenstein HJ (2006) Quantitative comparison of AIR, SPM, and the fully deformable model for atlas-based segmentation of functional and structural MR images. Hum Brain Mapp 27(9):747–754. doi:10.1002/hbm.20216

    Article  PubMed  Google Scholar 

  • Zhao X-H, Wang P-J, Li C-B, Hu Z-H, Xi Q, Wu W-Y, Tang X-W (2007) Altered default mode network activity in patient with anxiety disorders: an fMRI study. Eur J Radiol 63(3):373–378. doi:10.1016/j.ejrad.2007.02.006

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA

    Carmen Andreescu & Howard Aizenstein

Authors
  1. Carmen Andreescu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Howard Aizenstein
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Howard Aizenstein .

Editor information

Editors and Affiliations

  1. , UC Davis Imaging Center, University of California at Davis, X Street 4701, Sacramento, 95817, California, USA

    Cameron S. Carter

  2. , Dep of Experimental Psychology/Dep of Ps, University of Cambridge, Downing Site, Cambridge, CB2 3EB, United Kingdom

    Jeffrey W. Dalley

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Andreescu, C., Aizenstein, H. (2011). MRI Studies in Late-Life Mood Disorders. In: Carter, C., Dalley, J. (eds) Brain Imaging in Behavioral Neuroscience. Current Topics in Behavioral Neurosciences, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/7854_2011_175

Download citation

Publish with us

Policies and ethics

Search

Navigation