The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Dynamic functional connectivity in bipolar disorder is associated with executive function and processing speed: A preliminary study
Open accessAbstract
OBJECTIVE: Disturbances in functional connectivity have been suggested to contribute to cognitive and emotion processing deficits observed in bipolar disorder (BD). Functional connectivity between medial prefrontal cortex (mPFC) and other brain regions may be particularly abnormal. The goal of the present study was to characterize the temporal dynamics of the default mode network (DMN) connectivity in BD and examine its association with cognition. METHOD: In a preliminary study, euthymic BD (n = 15) and healthy comparison (HC, n = 19) participants underwent resting-state functional MRI, using high-resolution sequences adapted from the Human Connectome Project, and completed neuropsychological measures of processing speed and executive function. A seed-based approach was used to measure DMN correlations in each participant, with regions of interest in the mPFC, posterior cingulate cortex (PCC), and lateral parietal cortex. Subsequently, to characterize temporal dynamics, correlational analyses between the mPFC and other DMN nodes were repeated using a sliding-window correlational analysis with subsets of the time series. RESULTS: When averaged across the entire scan, there were no group differences in overall connectivity strength between the mPFC and other regions of the DMN. However, dynamic connectivity between the mPFC and PCC was altered in BD, such that connectivity was less variable (i.e., more rigid) over time. Decreased connectivity variability was associated with slower processing speed and reduced cognitive set-shifting in BD patients. CONCLUSIONS: Variability in resting-state functional connectivity may be an index of internetwork flexibility that is reduced in BD and a correlate of ongoing cognitive impairment during periods of euthymia. (PsycINFO Database Record
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In depression (the other pole), the precision might crash for positive priors, leading to the state described earlier of hypo-learning and negativity (68, 69).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [68]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
The Positive and Negative Syndrome Scale (PANSS) for schizophrenia.
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987) · Schizophrenia Bulletin · doi:10.1093/schbul/13.2.261 · Cited by 21,378
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
(1998) · PubMed · Cited by 10,216
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
A Rating Scale for Mania: Reliability, Validity and Sensitivity
Young, R. C., Biggs, J. T., Ziegler, V. E., & Meyer, D. A. (1978) · British Journal of Psychiatry · doi:10.1192/bjp.133.5.429 · Cited by 8,744
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Andersson, J. L. R., Skare, S., & Ashburner, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00336-7 · Cited by 3,469
Exploring the brain network: A review on resting-state fMRI functional connectivity
van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.03.008 · Cited by 3,326
Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1997) · American Psychiatric Press eBooks · Cited by 3,101
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. (2010) · International Journal of Cardiology · doi:10.1016/j.ijcard.2009.09.543 · Cited by 2,276
The role of the posterior cingulate cortex in cognition and disease
Leech, R., & Sharp, D. J. (2014) · Brain · doi:10.1093/brain/awt162 · Cited by 2,247
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143
Andrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102
Time–frequency dynamics of resting-state brain connectivity measured with fMRI
Chang, C., & Glover, G. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.011 · Cited by 1,808
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592
Moeller, S., Yacoub, E., Olman, C. A., Auerbach, E., Strupp, J., Harel, N., & Uğurbil, K. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22361 · Cited by 1,586
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187
Resting-state functional connectivity in neuropsychiatric disorders
Greicius, M. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328306f2c5 · Cited by 1,180
The brain's default network and its adaptive role in internal mentation
Andrews-Hanna, J. R. (2012) · The Neuroscientist · doi:10.1177/1073858411403316 · Cited by 1,114
Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., McEwen, S. C., Mathalon, D. H., Mueller, B. A., Pearlson, G. D., Potkin, S. G., Preda, A., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.07.003 · Cited by 1,088
Functional system and areal organization of a highly sampled individual human brain
Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M.-Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U. F., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.037 · Cited by 911
Mazoyer, B., Zago, L., Mellet, E., Bricogne, S., Etard, O., Houdé, O., Crivello, F., Joliot, M., Petit, L., & Tzourio-Mazoyer, N. (2001) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00437-8 · Cited by 906
The effect of scan length on the reliability of resting-state fMRI connectivity estimates
Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., Nair, V. A., Meyerand, M. E., & Prabhakaran, V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.099 · Cited by 875
Brain connectivity related to working memory performance
Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3408-06.2006 · Cited by 853
Denny, B. T., Kober, H., Wager, T. D., & Ochsner, K. N. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00233 · Cited by 830
The functional neuroanatomy of bipolar disorder: a review of neuroimaging findings
Strakowski, S. M., DelBello, M. P., & Adler, C. M. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001585 · Cited by 818
Leech, R., Kamourieh, S., Beckmann, C. F., & Sharp, D. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5626-10.2011 · Cited by 759
Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 732
Functional Specialization within Rostral Prefrontal Cortex (Area 10): A Meta-analysis
Gilbert, S. J., Spengler, S., Simons, J. S., Steele, J. D., Lawrie, S. M., Frith, C., & Burgess, P. W. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.6.932 · Cited by 701
Wise, R. G., Ide, K., Poulin, M. J., & Tracey, I. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.025 · Cited by 664
Sakoğlu, Ü., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0197-8 · Cited by 623
Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., & Vogeley, K. (2008) · Consciousness and Cognition · doi:10.1016/j.concog.2008.03.013 · Cited by 615
Shmueli, K., van Gelderen, P., de Zwart, J. A., Horovitz, S. G., Fukunaga, M., Jansma, J. M., & Duyn, J. H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.037 · Cited by 546
Non-Stationarity in the “Resting Brain’s” Modular Architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039731 · Cited by 435
Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder
Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.3469 · Cited by 435
Kurtz, M. M., & Gerraty, R. T. (2009) · Neuropsychology · doi:10.1037/a0016277 · Cited by 433
Default mode network abnormalities in bipolar disorder and schizophrenia
Öngür, D., Lundy, M. Y., Greenhouse, I., Shinn, A. K., Menon, V., Cohen, B. M., & Renshaw, P. F. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.04.008 · Cited by 422
Rashid, B., Damaraju, E., Pearlson, G. D., & Calhoun, V. D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00897 · Cited by 412
Medication Effects in Neuroimaging Studies of Bipolar Disorder
Phillips, M. L., Travis, M. J., Fagiolini, A. M., & Kupfer, D. J. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07071066 · Cited by 354
Calhoun, V. D., Maciejewski, P. K., Pearlson, G. D., & Kiehl, K. A. (2007) · Human Brain Mapping · doi:10.1002/hbm.20463 · Cited by 351
Abnormal Medial Prefrontal Cortex Resting-State Connectivity in Bipolar Disorder and Schizophrenia
Chai, X. J., Whitfield, S., Shinn, A. K., Gabrieli, J. D. E., Nieto-Castañón, A., McCarthy, J. M., Cohen, B. M., & Öngür, D. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.88 · Cited by 325
Yan, C., Liu, D., Yong He, A., Zou, Q., Zhu, C., Zuo, X., Long, X., & Zang, Y. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005743 · Cited by 310
On the Role of the Ventromedial Prefrontal Cortex in Self-Processing: The Valuation Hypothesis
D’Argembeau, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00372 · Cited by 296
Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI
Chang, C. E., & Glover, G. H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.048 · Cited by 292
A systematic literature review of resting state network—functional MRI in bipolar disorder
Vargas, C., López‐Jaramillo, C., & Vieta, E. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.05.083 · Cited by 278
Hassel, S., Almeida, J. R., Kerr, N., Nau, S., Ladouceur, C. D., Fissell, K., Kupfer, D. J., & Phillips, M. L. (2008) · Bipolar Disorders · doi:10.1111/j.1399-5618.2008.00641.x · Cited by 277
What about the “Self” is Processed in the Posterior Cingulate Cortex?
Brewer, J. A., Garrison, K. A., & Whitfield-Gabrieli, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00647 · Cited by 263
Global Prefrontal and Fronto-Amygdala Dysconnectivity in Bipolar I Disorder with Psychosis History
Anticevic, A., Brumbaugh, M. S., Winkler, A. M., Lombardo, L. E., Barrett, J., Corlett, P. R., Kober, H., Gruber, J., Repovs, G., Cole, M. W., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.031 · Cited by 263
The cognitive and neurophysiological basis of emotion dysregulation in bipolar disorder
Green, M. J., Cahill, C. M., & Malhi, G. S. (2007) · Journal of Affective Disorders · doi:10.1016/j.jad.2007.01.024 · Cited by 247
Reproducibility of Single-Subject Functional Connectivity Measurements
Anderson, J. S., Ferguson, M. A., Lopez-Larson, M. P., & Yurgelun-Todd, D. A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2330 · Cited by 198
Rizzo, L. B., Costa, L. G., Mansur, R. B., Swardfager, W., Belangero, S. I., Grassi-Oliveira, R., McIntyre, R. S., Bauer, M. E., & Brietzke, E. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.02.004 · Cited by 183
Neuroprogression and Cognitive Functioning in Bipolar Disorder: A Systematic Review
Cardoso, T., Bauer, I. E., Meyer, T. D., Kapczinski, F. P., & Soares, J. C. (2015) · Current Psychiatry Reports · doi:10.1007/s11920-015-0605-x · Cited by 174
Cardiorespiratory effects on default‐mode network activity as measured with fMRI
van Buuren, M., Gladwin, T. E., Zandbelt, B. B., van den Heuvel, M. P., Ramsey, N. F., Kahn, R. S., & Vink, M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20729 · Cited by 125
P4‐158: Nonstationarity in the ‘resting brain's’ modular architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.1862 · Cited by 116
Liu, C.-H., Ma, X., Li, F., Wang, Y.-J., Tie, C.-L., Li, S.-F., Chen, T.-L., Fan, T.-T., Zhang, Y., Dong, J., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048181 · Cited by 105
fMRI evidence for abnormal resting-state functional connectivity in euthymic bipolar patients
Favre, P., Baciu, M., Pichat, C., Bougerol, T., & Polosan, M. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.04.054 · Cited by 100
Neurocognitive and Neuroimaging Predictors of Clinical Outcome in Bipolar Disorder
Bearden, C. E., Woogen, M., & Glahn, D. C. (2010) · Current Psychiatry Reports · doi:10.1007/s11920-010-0151-5 · Cited by 47
Glover (2000) · doi:10.1002/1522-2594(200007)44:1
Cited by
Sorted by citations
Liu, J., Liao, X., Xia, M., & Yong He, A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23890 · Cited by 212
Wang, J., Wang, Y., Huang, H., Jia, Y., Zheng, S., Zhong, S., Chen, G., Huang, L., & Huang, R. (2019) · Psychological Medicine · doi:10.1017/s003329171900028x · Cited by 139
Long, Y., Cao, H., Yan, C., Chen, X., Li, L., Castellanos, F. X., Bai, T., Bo, Q., Chen, G., Chen, N., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102163 · Cited by 133
Cottam, W. J., Iwabuchi, S. J., Drabek, M. M., Reckziegel, D., & Auer, D. P. (2018) · Pain · doi:10.1097/j.pain.0000000000001209 · Cited by 110
Pang, Y., Chen, H., Wang, Y., Long, Z., He, Z., Zhang, H., Liao, W., Cui, Q., & Chen, H. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.03.020 · Cited by 113
Metadata
- Authors
- Nguyen, T. T., Kovacevic, S., Dev, S. I., Lu, K., Liu, T. T., & Eyler, L. T.
- Affiliations
- VA San Diego Healthcare System (US)
- San Diego State University (US)
- University of California San Diego (US)
- Venue
- Neuropsychology
- Published
- 2017-01
- Volume
- 31
- Issue
- 1
- Pages
- 73-83
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- PMC
- PMC5471616
- OpenAlex
- W2538606748
- Cited by
- 109
- References
- 67
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 11 · 2023: 11 · 2022: 7 · 2021: 33 · 2020: 17 · 2019: 7 · 2018: 6 · 2017: 3
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (5r01mh083968-05)
- National Institute of Mental Health (R01-MH083968, T32MH019934)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- bipolar disorder, dynamic functional connectivity, default mode network, medial prefrontal cortex, posterior cingulate cortex, processing speed, executive function, set-shifting, cognitive flexibility, euthymia, cognitive impairment
- MeSH terms
- Adult, Bipolar Disorder, Brain, Brain Mapping, Cognition, Cognition Disorders, Emotions, Female, Gyrus Cinguli, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Neuropsychological Tests, Parietal Lobe, Psychometrics, Reaction Time, Reference Values, Prefrontal Cortex, Executive Function
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
