Dynamic functional connectivity in bipolar disorder is associated with executive function and processing speed: A preliminary study

Neuropsychology

Volumn 31, Issue 1, 2017, Pages 73-83

  Nguyen, Tanya T ^a,b   Kovacevic, Sanja ^c   Dev, Sheena I ^d   Lu, Kun ^b,e   Liu, Thomas T ^b,e   Eyler, Lisa T ^a,b  

^a VA SAN DIEGO HEALTHCARE SYSTEM   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

^d SAN DIEGO STATE UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bipolar disorder; Cognition; Default mode network; Functional connectivity; Resting state fMRI

Indexed keywords

ADULT; ARTICLE; BIPOLAR I DISORDER; CLINICAL ARTICLE; CONTROLLED STUDY; EXECUTIVE FUNCTION; FEMALE; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LATERAL PARIETAL CORTEX; MALE; MEDIAL PREFRONTAL CORTEX; NEUROPSYCHOLOGY; PARIETAL CORTEX; PERCEPTION; POSTERIOR CINGULATE; PRIORITY JOURNAL; PROCESSING SPEED; RESTING STATE NETWORK; BIPOLAR DISORDER; BRAIN; BRAIN MAPPING; CINGULATE GYRUS; COGNITION; COGNITIVE DEFECT; COMPUTER ASSISTED DIAGNOSIS; EMOTION; MIDDLE AGED; NERVE CELL NETWORK; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PARIETAL LOBE; PATHOPHYSIOLOGY; PHYSIOLOGY; PREFRONTAL CORTEX; PSYCHOLOGY; PSYCHOMETRY; REACTION TIME; REFERENCE VALUE; STATISTICS AND NUMERICAL DATA;

ADULT; BIPOLAR DISORDER; BRAIN; BRAIN MAPPING; COGNITION; COGNITION DISORDERS; EMOTIONS; EXECUTIVE FUNCTION; FEMALE; GYRUS CINGULI; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NERVE NET; NEUROPSYCHOLOGICAL TESTS; PARIETAL LOBE; PREFRONTAL CORTEX; PSYCHOMETRICS; REACTION TIME; REFERENCE VALUES;

EID: 85006699543     PISSN: 08944105     EISSN: 19311559     Source Type: Journal    
DOI: 10.1037/neu0000317     Document Type: Article

References (66)

1. Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014). Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex, 24, 663-676. http://dx.doi.org/10.1093/cercor/bhs352
2. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.
3. Anderson, J. S., Ferguson, M. A., Lopez-Larson, M., & Yurgelun-Todd, D. (2011). Reproducibility of single-subject functional connectivity measurements. American Journal of Neuroradiology, 32, 548-555. http:// dx.doi.org/10.3174/ajnr.A2330
4. Andersson, J. L., Skare, S., & Ashburner, J. (2003). How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging. NeuroImage, 20, 870-888. http://dx.doi.org/10.1016/S1053-8119(03)00336-7
5. Andrews-Hanna, J. R. (2012). The brain's default network and its adaptive role in internal mentation. The Neuroscientist, 18, 251-270. http://dx.doi.org/10.1177/1073858411403316
6. Andrews-Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014). The default network and self-generated thought: Component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences, 1316, 29-52. http://dx.doi.org/10.1111/nyas.12360
7. Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007). Disruption of large-scale brain systems in advanced aging. Neuron, 56, 924-935. http://dx.doi.org/10.1016/j.neuron.2007.10.038
8. Anticevic, A., Brumbaugh, M. S., Winkler, A. M., Lombardo, L. E., Barrett, J., Corlett, P. R.,. Glahn, D. C. (2013). Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history. Biological Psychiatry, 73, 565-573. http://dx.doi.org/10.1016/j.biopsych.2012.07.031
9. Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014). Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder. Journal of the American Medical Association Psychiatry, 71, 109-118. http://dx.doi.org/10.1001/jamapsychiatry.2013.3469
10. Bearden, C. E., Woogen, M., & Glahn, D. C. (2010). Neurocognitive and neuroimaging predictors of clinical outcome in bipolar disorder. Current Psychiatry Reports, 12, 499-504. http://dx.doi.org/10.1007/s11920-010-0151-5
11. Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., Prabhakaran, V. (2013). The effect of scan length on the reliability of resting-state fMRI connectivity estimates. NeuroImage, 83, 550-558. http://dx.doi.org/10.1016/j.neuroimage.2013.05.099
12. Brewer, J. A., Garrison, K. A., & Whitfield-Gabrieli, S. (2013). What about the "self" is processed in the posterior cingulate cortex? Frontiers in Human Neuroscience, 7, 647. http://dx.doi.org/10.3389/fnhum.2013.00647
13. Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain's default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1-38. http://dx.doi.org/10.1196/annals.1440.011
14. Calhoun, V. D., Maciejewski, P. K., Pearlson, G. D., & Kiehl, K. A. (2008). Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorder. Human Brain Mapping, 29, 1265-1275. http://dx.doi.org/10.1002/hbm.20463
15. Cardoso, T., Bauer, I. E., Meyer, T. D., Kapczinski, F., & Soares, J. C. (2015). Neuroprogression and cognitive functioning in bipolar disorder: A systematic review. Current Psychiatry Reports, 17, 75. http://dx.doi.org/10.1007/s11920-015-0605-x
16. Chai, X. J., Whitfield-Gabrieli, S., Shinn, A. K., Gabrieli, J. D., Nieto Castañón, A., McCarthy, J. M.,. Ongür, D. (2011). Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia. Neuropsychopharmacology, 36, 2009-2017. http://dx.doi.org/10.1038/npp.2011.88
17. Chang, C., & Glover, G. H. (2009). Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI. NeuroImage, 47, 1381-1393. http://dx.doi.org/10.1016/j.neuroimage.2009.04.048
18. Chang, C., & Glover, G. H. (2010). Time-frequency dynamics of restingstate brain connectivity measured with fMRI. NeuroImage, 50, 81-98. http://dx.doi.org/10.1016/j.neuroimage.2009.12.011
19. Cox, R. W. (1996). AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research, an International Journal, 29, 162-173. http://dx.doi.org/10.1006/cbmr.1996.0014
20. Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., McEwen, S., Mathalon, D. H.,. Calhoun, V. D. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage Clinical, 5, 298-308. http://dx.doi.org/10.1016/j.nicl.2014.07.003
21. Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J., Barkhof, F., Scheltens, P., Stam, C. J.,. Rombouts, S. A. (2008). Reduced resting-state brain activity in the "default network" in normal aging. Cerebral Cortex, 18, 1856-1864. http://dx.doi.org/10.1093/cercor/bhm207
22. D'Argembeau, A. (2013). On the role of the ventromedial prefrontal cortex in self-processing: The valuation hypothesis. Frontiers in Human Neuroscience, 7, 372.
23. Denny, B. T., Kober, H., Wager, T. D., & Ochsner, K. N. (2012). A meta-analysis of functional neuroimaging studies of self- and other judgments reveals a spatial gradient for mentalizing in medial prefrontal cortex. Journal of Cognitive Neuroscience, 24, 1742-1752. http://dx.doi.org/10.1162/jocn_a_00233
24. Favre, P., Baciu, M., Pichat, C., Bougerol, T., & Polosan, M. (2014). fMRI evidence for abnormal resting-state functional connectivity in euthymic bipolar patients. Journal of Affective Disorders, 165, 182-189. http://dx.doi.org/10.1016/j.jad.2014.04.054
25. First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1996). Structured Clinical Interview for DSM-IV Axis I Disorders, clinician version (SCID-CV). Washington, DC: American Psychiatric Press.
26. Gilbert, S. J., Spengler, S., Simons, J. S., Steele, J. D., Lawrie, S. M., Frith, C. D., & Burgess, P. W. (2006). Functional specialization within rostral prefrontal cortex (area 10): A meta-analysis. Journal of Cognitive Neuroscience, 18, 932-948. http://dx.doi.org/10.1162/jocn.2006.18.6.932
27. Glover, G. H., Li, T. Q., & Ress, D. (2000). Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magnetic Resonance in Medicine, 44, 162-167. http://dx.doi.org/10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO; 2-E
28. Green, M. J., Cahill, C. M., & Malhi, G. S. (2007). The cognitive and neurophysiological basis of emotion dysregulation in bipolar disorder. Journal of Affective Disorders, 103(1-3), 29-42. http://dx.doi.org/10.1016/j.jad.2007.01.024
29. Greicius, M. (2008). Resting-state functional connectivity in neuropsychiatric disorders. Current Opinion in Neurology, 21, 424-430. http://dx.doi.org/10.1097/WCO.0b013e328306f2c5
30. Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. PNAS Proceedings of the National Academy of Sciences of the United States of America, 100, 253-258. http://dx.doi.org/ 10.1073/pnas.0135058100
31. Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001). Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function. Proceedings of the National Academy of Sciences, USA of the United States of America, 98, 4259-4264. http://dx.doi.org/10.1073/pnas.071043098
32. Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery & Psychiatry, 23, 56-62. http://dx.doi.org/10.1136/jnnp.23.1.56
33. Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006). Brain connectivity related to working memory performance. The Journal of Neuroscience, 26, 13338-13343. http://dx.doi.org/10.1523/JNEUROSCI.3408-06.2006
34. Hassel, S., Almeida, J. R., Kerr, N., Nau, S., Ladouceur, C. D., Fissell, K., Phillips, M. L. (2008). Elevated striatal and decreased dorsolateral prefrontal cortical activity in response to emotional stimuli in euthymic bipolar disorder: No associations with psychotropic medication load. Bipolar Disorders, 10, 916-927. http://dx.doi.org/10.1111/j.1399-5618.2008.00641.x
35. Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M.,. Chang, C. (2013). Dynamic functional connectivity: Promise, issues, and interpretations. NeuroImage, 80, 360-378. http://dx.doi.org/10.1016/j.neuroimage.2013.05.079
36. Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2013). Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Human Brain Mapping, 34, 2154-2177. http://dx.doi.org/10.1002/hbm.22058
37. Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M.,. Jack, C. R., Jr. (2012). Non-stationarity in the "resting brain's" modular architecture. PLoS One, 7, e39731. http://dx.doi.org/10.1371/journal.pone.0039731
38. Kay, S. R., Fiszbein, A., & Opler, L. A. (1987). The Positive and Negative Syndrome Scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13, 261-276. http://dx.doi.org/10.1093/schbul/13.2.261
39. Kurtz, M. M., & Gerraty, R. T. (2009). A meta-analytic investigation of neurocognitive deficits in bipolar illness: Profile and effects of clinical state. Neuropsychology, 23, 551-562. http://dx.doi.org/10.1037/ a0016277
40. Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M. Y.,. Petersen, S. E. (2015). Functional system and areal organization of a highly sampled individual human brain. Neuron, 87, 657-670. http://dx.doi.org/10.1016/j.neuron.2015.06.037
41. Leech, R., Kamourieh, S., Beckmann, C. F., & Sharp, D. J. (2011). Fractionating the default mode network: Distinct contributions of the ventral and dorsal posterior cingulate cortex to cognitive control. The Journal of Neuroscience, 31, 3217-3224. http://dx.doi.org/10.1523/ JNEUROSCI.5626-10.2011
42. Leech, R., & Sharp, D. J. (2014). The role of the posterior cingulate cortex in cognition and disease. Brain: A Journal of Neurology, 137, 12-32. http://dx.doi.org/10.1093/brain/awt162
43. Liu, C. H., Ma, X., Li, F., Wang, Y. J., Tie, C. L., Li, S. F.,. Wang, C. Y. (2012). Regional homogeneity within the default mode network in bipolar depression: A resting-state functional magnetic resonance imaging study. PLoS One, 7, e48181. http://dx.doi.org/10.1371/journal.pone.0048181
44. Mazoyer, B., Zago, L., Mellet, E., Bricogne, S., Etard, O., Houdé, O.,. Tzourio-Mazoyer, N. (2001). Cortical networks for working memory and executive functions sustain the conscious resting state in man. Brain Research Bulletin, 54, 287-298. http://dx.doi.org/10.1016/S0361-9230(00)00437-8
45. Moeller, S., Yacoub, E., Olman, C. A., Auerbach, E., Strupp, J., Harel, N., & Uğurbil, K. (2010). Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magnetic Resonance in Medicine, 63, 1144-1153. http://dx.doi.org/10.1002/mrm.22361
46. Öngür, D., Lundy, M., Greenhouse, I., Shinn, A. K., Menon, V., Cohen, B. M., & Renshaw, P. F. (2010). Default mode network abnormalities in bipolar disorder and schizophrenia. Psychiatry Research: Neuroimaging, 183, 59-68. http://dx.doi.org/10.1016/j.pscychresns.2010.04.008
47. Phillips, M. L., Travis, M. J., Fagiolini, A., & Kupfer, D. J. (2008). Medication effects in neuroimaging studies of bipolar disorder. The American Journal of Psychiatry, 165, 313-320. http://dx.doi.org/10.1176/appi.ajp.2007.07071066
48. Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. PNAS Proceedings of the National Academy of Sciences of the United States of America, 98, 676-682. http://dx.doi.org/10.1073/pnas.98.2.676
49. Rashid, B., Damaraju, E., Pearlson, G. D., & Calhoun, V. D. (2014). Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects. Frontiers in Human Neuroscience, 8, 897. http://dx.doi.org/10.3389/fnhum.2014.00897
50. Rizzo, L. B., Costa, L. G., Mansur, R. B., Swardfager, W., Belangero, S. I., Grassi-Oliveira, R.,. Brietzke, E. (2014). The theory of bipolar disorder as an illness of accelerated aging: Implications for clinical care and research. Neuroscience and Biobehavioral Reviews, 42, 157-169. http://dx.doi.org/10.1016/j.neubiorev.2014.02.004
51. Sakoğlu, U., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia. Magnetic Resonance Materials in Physics, Biology and Medicine, 23, 351-366. http://dx.doi.org/10.1007/s10334-010-0197-8
52. Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., & Vogeley, K. (2008). Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the "default system" of the brain. Consciousness and Cognition: An International Journal, 17, 457-467. http://dx.doi.org/10.1016/j.concog.2008.03.013
53. Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E.,. Dunbar, G. C. (1998). The Mini-International Neuropsychiatric Interview (MINI): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. The Journal of Clinical Psychiatry, 59, 22-33.
54. Shmueli, K., van Gelderen, P., de Zwart, J. A., Horovitz, S. G., Fukunaga, M., Jansma, J. M., & Duyn, J. H. (2007). Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal. NeuroImage, 38, 306-320. http://dx.doi.org/10.1016/j.neuroimage.2007.07.037
55. Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E., Johansen-Berg, H.,. Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23, S208-S219. http://dx.doi.org/10.1016/j.neuroimage.2004.07.051
56. Spreng, R. N., Mar, R. A., & Kim, A. S. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis. Journal of Cognitive Neuroscience, 21, 489-510. http://dx.doi.org/10.1162/jocn.2008.21029
57. Starck, T., Nikkinen, J., Remes, J., Rahko, J., Moilanen, I., Tervonen, O., & Kiviniemi, V. (2012). Temporally varying connectivity between ICA default-mode sub-networks-ASD vs. controls. Beijing, China: Organization for Human Brain Mapping.
58. Strakowski, S. M., Delbello, M. P., & Adler, C. M. (2005). The functional neuroanatomy of bipolar disorder: A review of neuroimaging findings. Molecular Psychiatry, 10, 105-116. http://dx.doi.org/10.1038/sj.mp.4001585
59. Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. (2010). The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. International Journal of Cardiology, 141, 122-131. http:// dx.doi.org/10.1016/j.ijcard.2009.09.543
60. Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M.,. Buckner, R. L. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106, 1125-1165. http://dx.doi.org/10.1152/ jn.00338.2011
61. van Buuren, M., Gladwin, T. E., Zandbelt, B. B., van den Heuvel, M., Ramsey, N. F., Kahn, R. S., & Vink, M. (2009). Cardiorespiratory effects on default-mode network activity as measured with fMRI. Human Brain Mapping, 30, 3031-3042. http://dx.doi.org/10.1002/hbm.20729
62. van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010). Exploring the brain network: A review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 20, 519-534. http://dx.doi.org/10.1016/j.euroneuro.2010.03.008
63. Vargas, C., López-Jaramillo, C., & Vieta, E. (2013). A systematic literature review of resting state network-functional MRI in bipolar disorder. Journal of Affective Disorders, 150, 727-735. http://dx.doi.org/10.1016/ j.jad.2013.05.083
64. Wise, R. G., Ide, K., Poulin, M. J., & Tracey, I. (2004). Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal. NeuroImage, 21, 1652-1664. http://dx.doi.org/10.1016/j.neuroimage.2003.11.025
65. Yan, C., Liu, D., He, Y., Zou, Q., Zhu, C., Zuo, X.,. Zang, Y. (2009). Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load. PLoS One, 4, e5743. http://dx.doi.org/10.1371/journal.pone.0005743
66. Young, R. C., Biggs, J. T., Ziegler, V. E., & Meyer, D. A. (1978). A rating scale for mania: Reliability, validity and sensitivity. The British Journal of Psychiatry, 133, 429-435. http://dx.doi.org/10.1192/bjp.133.5.429