CoChat
Sign Up
Cited by 73

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

The Neural Basis of Decision-Making and Reward Processing in Adults with Euthymic Bipolar Disorder or Attention-Deficit/Hyperactivity Disorder (ADHD)

Ibanez, Agustin, Cetkovich, Marcelo, Petroni, Agustin, Urquina, Hugo, Baez, Sandra, Gonzalez-Gadea, Maria Luz, Kamienkowski, Juan Esteban, Torralva, Teresa, Torrente, Fernando, Strejilevich, Sergio, Teitelbaum, Julia, Hurtado, Esteban, Guex, Raphael, Melloni, Margherita, Lischinsky, Alicia, Sigman, Mariano, Manes, Facundo·2012·PLoS ONE
DOI 10.1371/journal.pone.0037306PMC PMC3356275
Open this paper in CoChat — free account

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0037306

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Decision-making task results (IGT, RDMUR and RDGT). A) IGT net score of Blocks 1 to 5; B) The number of cards selected in the RDMUR task; c) Total reaction time in the RDMUR task; D) Valence effects in the RDGT task; ERP mean amplitudes at the fERN timeframe; and E) Magnitude effects in the RDGT task; ERP mean amplitudes at the P3 timeframe. Boxes indicate SDs in b, c, d and e.
Figure 1 Decision-making task results (IGT, RDMUR and RDGT). A) IGT net score of Blocks 1 to 5; B) The number of cards selected in the RDMUR task; c) Total reaction time in the RDMUR task; D) Valence effects in the RDGT task; ERP mean amplitudes at the fERN timeframe; and E) Magnitude effects in the RDGT task; ERP mean amplitudes at the P3 timeframe. Boxes indicate SDs in b, c, d and e.CC BY · PubMed Central
Figure 2 fERN and P3 modulation of valence and reward magnitude. A) FERN Valence modulation (wins vs. losses) in controls, patients with ADHD and those with BD.Voltage maps show the scalp modulations (losses minus wins) at the fERN timeframe. B) Magnitude modulation (large vs. small rewards) in controls, patients with ADHD and those with BD. The P3s of controls discriminated reward magnitudes whereas this effect was absent in patients with ADHD but enhanced in patients with BD. Voltage maps show the scalp modulations (large minus small) at the P3 timeframe.
Figure 2 fERN and P3 modulation of valence and reward magnitude. A) FERN Valence modulation (wins vs. losses) in controls, patients with ADHD and those with BD.Voltage maps show the scalp modulations (losses minus wins) at the fERN timeframe. B) Magnitude modulation (large vs. small rewards) in controls, patients with ADHD and those with BD. The P3s of controls discriminated reward magnitudes whereas this effect was absent in patients with ADHD but enhanced in patients with BD. Voltage maps show the scalp modulations (large minus small) at the P3 timeframe.CC BY · PubMed Central
Figure 3 Cortical current density mapping of valence and reward magnitude. A. The source estimation of distributed valence dipoles (fERN, left) and magnitude effects (P3, right) for controls, patients with ADHD and those with BD. Color-map values represent the t-values of comparisons between signal and noise. B. A time-series of the absolute power activation evoked by valence and reward magnitudes at the anterior, medial and posterior cingulate cortex (aCC, mCC, pCC). C. The average values of absolute power at aCC, mCC and PCC for the valence and magnitude effects for all groups. We obtained the ROIs at aCC, mCC and pCC using a Tzourio-Mazoyer partition.
Figure 3 Cortical current density mapping of valence and reward magnitude. A. The source estimation of distributed valence dipoles (fERN, left) and magnitude effects (P3, right) for controls, patients with ADHD and those with BD. Color-map values represent the t-values of comparisons between signal and noise. B. A time-series of the absolute power activation evoked by valence and reward magnitudes at the anterior, medial and posterior cingulate cortex (aCC, mCC, pCC). C. The average values of absolute power at aCC, mCC and PCC for the valence and magnitude effects for all groups. We obtained the ROIs at aCC, mCC and pCC using a Tzourio-Mazoyer partition.CC BY · PubMed Central

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Research works printed but not linked: 56

  1. A Bechara, 2005, Decision-making and impulse control after frontal lobe injuries., Curr Opin Neurol, 18, 734, 10.1097/01.wco.0000194141.56429.3c · DOI
  2. M Brand, 2006, Neuropsychological correlates of decision-making in ambiguous and risky situations., Neural Netw, 19, 1266, 10.1016/j.neunet.2006.03.001 · DOI
  3. E Gleichgerrcht, 2010, Decision-making cognition in neurodegenerative diseases., Nat Rev Neurol, 6, 611, 10.1038/nrneurol.2010.148 · DOI
  4. JW Kable, 2009, The neurobiology of decision: consensus and controversy., Neuron, 63, 733, 10.1016/j.neuron.2009.09.003 · DOI · Paper page
  5. PW Glimcher, 2004, Neuroeconomics: the consilience of brain and decision., Science, 306, 447, 10.1126/science.1102566 · DOI
  6. AL Krain, 2006, Distinct neural mechanisms of risk and ambiguity: a meta-analysis of decision-making., Neuroimage, 32, 477, 10.1016/j.neuroimage.2006.02.047 · DOI · Paper page
  7. A Rangel, 2008, Consciousness meets neuroeconomics: what is the value of stimulus awareness in decision making?, Neuron, 59, 525, 10.1016/j.neuron.2008.08.003 · DOI
  8. KD Chang, 2010, Course and impact of bipolar disorder in young patients., J Clin Psychiatry, 71, e05, 10.4088/JCP.8125tx7c · DOI
  9. LJ Klassen, 2010, Adult ADHD and its comorbidities, with a focus on bipolar disorder., J Affect Disord, 124, 1, 10.1016/j.jad.2009.06.036 · DOI · Paper page
  10. M Luman, 2010, Impaired decision making in oppositional defiant disorder related to altered psychophysiological responses to reinforcement., Biol Psychiatry, 68, 337, 10.1016/j.biopsych.2009.12.037 · DOI
  11. T Christodoulou, 2006, The relationship of impulsivity to response inhibition and decision-making in remitted patients with bipolar disorder., Eur Psychiatry, 21, 270, 10.1016/j.eurpsy.2006.04.006 · DOI
  12. F Jollant, 2007, Psychiatric diagnoses and personality traits associated with disadvantageous decision-making., Eur Psychiatry, 22, 455, 10.1016/j.eurpsy.2007.06.001 · DOI · Paper page
  13. D Fernandez-Duque, 2007, Actor/observer asymmetry in risky decision making., Judgment and Decision Making, 2, 8, 10.1017/S193029750000022X · DOI
  14. SA Montgomery, 1979, A new depression scale designed to be sensitive to change., Br J Psychiatry, 134, 382, 10.1192/bjp.134.4.382 · DOI · Paper page
  15. ES Barratt, 1969, Impulsiveness and anxiety related to medical students' performance and attitudes., J Med Educ, 44, 604
  16. R Barkley, 1998, Attention-deficit hyperactivity disorder: a clinical workbook., 10.1038/scientificamerican0998-66 · DOI
  17. T Torralva, 2009, INECO Frontal Screening (IFS): a brief, sensitive, and specific tool to assess executive functions in dementia., J Int Neuropsychol Soc, 15, 777, 10.1017/S1355617709990415 · DOI · Paper page
  18. A Rey, 1941, Psychological examination of a case of posttraumatic encephalopathy., Archives of Psychologie, 8
  19. J Partington, 1949, Partington's pathway test., The Psychological Center Bulletin, 1
  20. P Slovic, 1966, Risk-taking in children: Age and sex differences., Child Development, 37, 169, 10.2307/1126437 · DOI
  21. MX Huang, 1999, A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG., Phys Med Biol, 44, 423, 10.1088/0031-9155/44/2/010 · DOI
  22. S Baillet, 1999, Combined MEG and EEG source imaging by minimization of mutual information., IEEE Trans Biomed Eng, 46, 522, 10.1109/10.759053 · DOI
  23. N Tzourio-Mazoyer, 2002, Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain., Neuroimage, 15, 273, 10.1006/nimg.2001.0978 · DOI · Paper page
  24. R San Martin, 2010, Size and probability of rewards modulate the feedback error-related negativity associated with wins but not losses in a monetarily rewarded gambling task., Neuroimage, 51, 1194, 10.1016/j.neuroimage.2010.03.031 · DOI
  25. S Nieuwenhuis, 2004, Reinforcement-related brain potentials from medial frontal cortex: origins and functional significance., Neurosci Biobehav Rev, 28, 441, 10.1016/j.neubiorev.2004.05.003 · DOI · Paper page
  26. RA Chandler, 2009, Altered risk-aversion and risk-seeking behavior in bipolar disorder., Biol Psychiatry, 66, 840, 10.1016/j.biopsych.2009.05.011 · DOI
  27. J Fujiwara, 2009, Segregated and integrated coding of reward and punishment in the cingulate cortex., J Neurophysiol, 101, 3284, 10.1152/jn.90909.2008 · DOI
  28. BY Hayden, 2008, Posterior cingulate cortex mediates outcome-contingent allocation of behavior., Neuron, 60, 19, 10.1016/j.neuron.2008.09.012 · DOI
  29. BJ Weber, 2008, The neural substrates of probabilistic and intertemporal decision making., Brain Res, 1234, 104, 10.1016/j.brainres.2008.07.105 · DOI
  30. X Li, 2010, The Iowa Gambling Task in fMRI images., Hum Brain Mapp, 31, 410
  31. J Peters, 2009, Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making., J Neurosci, 29, 15727, 10.1523/JNEUROSCI.3489-09.2009 · DOI · Paper page
  32. L Malloy-Diniz, 2007, Impulsive behavior in adults with attention deficit/hyperactivity disorder: characterization of attentional, motor and cognitive impulsiveness., J Int Neuropsychol Soc, 13, 693, 10.1017/S1355617707070889 · DOI · Paper page
  33. CT Taylor, 2008, Anxiety is associated with impulsivity in bipolar disorder., J Anxiety Disord, 22, 868, 10.1016/j.janxdis.2007.09.001 · DOI
  34. BD Dunn, 2006, The somatic marker hypothesis: a critical evaluation., Neurosci Biobehav Rev, 30, 239, 10.1016/j.neubiorev.2005.07.001 · DOI · Paper page
  35. TL Jameson, 2004, Components of working memory and somatic markers in decision making., Psychon Bull Rev, 11, 515, 10.3758/BF03196604 · DOI
  36. E Gleichgerrcht, 2011, The role of social cognition in moral judgment in frontotemporal dementia., Soc Neurosci, 6, 113, 10.1080/17470919.2010.506751 · DOI
  37. D Lee, 2008, Game theory and neural basis of social decision making., Nat Neurosci, 11, 404, 10.1038/nn2065 · DOI
  38. JS Rubinsztein, 2000, Cognitive impairment in remission in bipolar affective disorder., Psychol Med, 30, 1025, 10.1017/S0033291799002664 · DOI
  39. E Yechiam, 2008, Decision making in bipolar disorder: a cognitive modeling approach., Psychiatry Res, 161, 142, 10.1016/j.psychres.2007.07.001 · DOI
  40. MT Buelow, 2009, Construct validity of the Iowa Gambling Task., Neuropsychol Rev, 19, 102, 10.1007/s11065-009-9083-4 · DOI · Paper page
  41. J Roiser, 2009, The effect of positive mood induction on emotional processing in euthymic individuals with bipolar disorder and controls., Psychol Med, 39, 785, 10.1017/S0033291708004200 · DOI
  42. G Wilbertz, 2011, Orbitofrontal reward sensitivity and impulsivity in adult attention deficit hyperactivity disorder., Neuroimage, 60, 353, 10.1016/j.neuroimage.2011.12.011 · DOI · Paper page
  43. MF Rushworth, 2007, Contrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour., Trends Cogn Sci, 11, 168, 10.1016/j.tics.2007.01.004 · DOI · Paper page
  44. J Biederman, 2008, Towards further understanding of the co-morbidity between attention deficit hyperactivity disorder and bipolar disorder: a MRI study of brain volumes., Psychol Med, 38, 1045, 10.1017/S0033291707001791 · DOI
  45. KN Fountoulakis, 2008, Assessing the role of cingulate cortex in bipolar disorder: neuropathological, structural and functional imaging data., Brain Res Rev, 59, 9, 10.1016/j.brainresrev.2008.04.005 · DOI · Paper page
  46. F Benedetti, 2007, Neural and genetic correlates of antidepressant response to sleep deprivation: a functional magnetic resonance imaging study of moral valence decision in bipolar depression., Arch Gen Psychiatry, 64, 179, 10.1001/archpsyc.64.2.179 · DOI
  47. T Torralva, 2011, Neuropsychological functioning in adult bipolar disorder and ADHD patients: a comparative study., Psychiatry Res, 186, 261, 10.1016/j.psychres.2010.08.007 · DOI
  48. JO Brooks, 2006, Preliminary evidence of differential relations between prefrontal cortex metabolism and sustained attention in depressed adults with bipolar disorder and healthy controls., Bipolar Disord, 8, 248, 10.1111/j.1399-5618.2006.00310.x · DOI
  49. A Kaladjian, 2009, Reduced brain activation in euthymic bipolar patients during response inhibition: an event-related fMRI study., Psychiatry Res, 173, 45, 10.1016/j.pscychresns.2008.08.003 · DOI
  50. FC Murphy, 1999, Emotional bias and inhibitory control processes in mania and depression., Psychol Med, 29, 1307, 10.1017/S0033291799001233 · DOI · Paper page
  51. M Schecklmann, 2008, Diminished prefrontal oxygenation with normal and above-average verbal fluency performance in adult ADHD., J Psychiatr Res, 43, 98, 10.1016/j.jpsychires.2008.02.005 · DOI
  52. F Manes, 2002, Decision-making processes following damage to the prefrontal cortex., Brain, 125, 624, 10.1093/brain/awf049 · DOI · Paper page
  53. L Clark, 2003, The contributions of lesion laterality and lesion volume to decision-making impairment following frontal lobe damage., Neuropsychologia, 41, 1474, 10.1016/S0028-3932(03)00081-2 · DOI
  54. L Clark, 2004, Social and emotional decision-making following frontal lobe injury., Neurocase, 10, 398, 10.1080/13554790490882799 · DOI
  55. FF Manes, 2010, Frontotemporal dementia presenting as pathological gambling., Nat Rev Neurol, 6, 347, 10.1038/nrneurol.2010.34 · DOI
  56. T Torralva, 2007, The relationship between affective decision-making and theory of mind in the frontal variant of fronto-temporal dementia., Neuropsychologia, 45, 342, 10.1016/j.neuropsychologia.2006.05.031 · DOI

Cited by

Sorted by citations

See all 73

Metadata

Authors
Ibanez, A., Cetkovich, M., Petroni, A., Urquina, H., Baez, S., Gonzalez-Gadea, M. L., Kamienkowski, J. E., Torralva, T., Torrente, F., Strejilevich, S., Teitelbaum, J., Hurtado, E., Guex, R., Melloni, M., Lischinsky, A., Sigman, M., & Manes, F.
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2012-05-18
Volume
7
Issue
5
Pages
e37306
ISSN
1932-6203
DOI
10.1371/journal.pone.0037306
PMC
PMC3356275
Cited by
73
References
11
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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