Association Between Childhood Anhedonia and Alterations in Large-scale Resting-State Networks and Task-Evoked Activation.


Journal

JAMA psychiatry
ISSN: 2168-6238
Titre abrégé: JAMA Psychiatry
Pays: United States
ID NLM: 101589550

Informations de publication

Date de publication:
01 06 2019
Historique:
pubmed: 14 3 2019
medline: 17 6 2020
entrez: 14 3 2019
Statut: ppublish

Résumé

Anhedonia can present in children and predict detrimental clinical outcomes. To map anhedonia in children onto changes in intrinsic large-scale connectivity and task-evoked activation and to probe the specificity of these changes in anhedonia against other clinical phenotypes (low mood, anxiety, and attention-deficit/hyperactivity disorder [ADHD]). Functional magnetic resonance imaging (fMRI) data were from the first annual release of the Adolescent Brain Cognitive Development study, collected between September 2016 and September 2017 and analyzed between April and September 2018. Cross-sectional data of children aged 9 to 10 years from unreferred, community samples during rest (n = 2878) and during reward anticipation (n = 2874) and working memory (n = 2745) were analyzed. Alterations in fMRI data during rest, reward anticipation, and working memory were examined, using both frequentist and Bayesian approaches. Functional MRI connectivity within large-scale networks, between networks, and between networks and subcortical regions were examined during rest. Functional MRI activation were examined during reward anticipation and working memory using the monetary incentive delayed and N-back tasks, respectively. Among 2878 children with adequate-quality resting-state fMRI data (mean [SD] age, 10.03 [0.62] years; 1400 girls [48.6%]), children with anhedonia (261 [9.1%]), compared with those without anhedonia (2617 [90.9%]), showed hypoconnectivity among various large-scale networks and subcortical regions, including between the arousal-related cingulo-opercular network and reward-related ventral striatum area (mean [SD] with anhedonia, 0.08 [0.10] vs without anhedonia, 0.10 [0.10]; t2,876 = 3.33; P < .001; q[false discovery rate] = 0.03; ln[Bayes factor10] = 2.85). Such hypoconnectivity did not manifest among children with low mood (277 of 2878 [9.62%]), anxiety (109 of 2878 [3.79%]), or ADHD (459 of 2878 [15.95%]), suggesting specificity. Similarly, among 2874 children (mean [SD] age, 10.03 [0.62] years; 1414 girls [49.2%]) with high-quality task-evoked fMRI data, children with anhedonia (248 of 2874 [8.63%]) demonstrated hypoactivation during reward anticipation in various areas, including the dorsal striatum and areas of the cingulo-opercular network. This hypoactivity was not found among children with low mood (268 of 2874 [9.32%]), anxiety (90 of 2874 [3.13%]), or ADHD (473 of 2874 [16.46%]). Moreover, we also found context- and phenotype-specific double dissociations; while children with anhedonia showed altered activation during reward anticipation (but not working memory), those with ADHD showed altered activation during working memory (but not reward anticipation). Using the Adolescent Brain Cognitive Development study data set, phenotype-specific alterations were found in intrinsic large-scale connectivity and task-evoked activation in children with anhedonia. The hypoconnectivity at rest and hypoactivation during reward anticipation complementarily map anhedonia onto aberrations in neural-cognitive processes: lack of intrinsic reward-arousal integration during rest and diminishment of extrinsic reward-arousal activity during reward anticipation. These findings help delineate the pathophysiological underpinnings of anhedonia in children.

Identifiants

pubmed: 30865236
pii: 2727385
doi: 10.1001/jamapsychiatry.2019.0020
pmc: PMC6552295
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Retracted Publication

Langues

eng

Sous-ensembles de citation

IM

Pagination

624-633

Subventions

Organisme : NIDA NIH HHS
ID : U24 DA041147
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041134
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041174
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041048
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041156
Pays : United States
Organisme : NIDA NIH HHS
ID : U24 DA041123
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041093
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041106
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041148
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041089
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041120
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA MH002957
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041022
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041025
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041028
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA041117
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : ErratumIn
Type : RetractionIn

Références

Psychol Assess. 2012 Jun;24(2):293-300
pubmed: 21928910
Dev Cogn Neurosci. 2018 Aug;32:8-15
pubmed: 29706313
Neuroimage. 2019 Nov 15;202:116091
pubmed: 31415884
Depress Res Treat. 2011;2011:795173
pubmed: 21197098
Comput Biomed Res. 1996 Jun;29(3):162-73
pubmed: 8812068
Cereb Cortex. 2015 Sep;25(9):2763-73
pubmed: 24770711
J Neurophysiol. 2010 Jan;103(1):297-321
pubmed: 19889849
J Youth Adolesc. 1988 Apr;17(2):117-33
pubmed: 24277579
Biometrics. 1946 Jun;2(3):47-53
pubmed: 21001024
Biol Psychiatry. 2018 Jan 15;83(2):137-147
pubmed: 29033027
Biostatistics. 2007 Jan;8(1):118-27
pubmed: 16632515
Am J Psychiatry. 2010 Jul;167(7):748-51
pubmed: 20595427
Am J Psychiatry. 2017 Nov 1;174(11):1112-1119
pubmed: 28946760
Nat Genet. 2013 Sep;45(9):984-94
pubmed: 23933821
Dev Cogn Neurosci. 2018 Aug;32:43-54
pubmed: 29567376
Neurosci Biobehav Rev. 2011 Jan;35(3):537-55
pubmed: 20603146
Cancer Res. 1978 Nov;38(11 Pt 2):4001-5
pubmed: 698947
J Neurosci. 2007 Feb 28;27(9):2349-56
pubmed: 17329432
Trends Cogn Sci. 2011 Oct;15(10):483-506
pubmed: 21908230
Lancet Psychiatry. 2016 May;3(5):472-80
pubmed: 27150382
J Am Acad Child Adolesc Psychiatry. 2005 Apr;44(4):377-84
pubmed: 15782085
Psychopharmacology (Berl). 2015 Jan;232(2):331-41
pubmed: 24973896
Neuroimage. 2012 Jan 2;59(1):238-47
pubmed: 21840407
Hum Brain Mapp. 2018 Nov;39(11):4213-4227
pubmed: 29962049
J Atten Disord. 2016 Apr;20(4):353-67
pubmed: 23382578
Neuroimage. 2017 Nov 1;161:149-170
pubmed: 28826946
J Affect Disord. 2017 Oct 15;221:289-296
pubmed: 28668590
Annu Rev Clin Psychol. 2014;10:393-423
pubmed: 24471371
J Neurosci. 2009 Oct 21;29(42):13410-7
pubmed: 19846728
Neuroimage. 2000 Jul;12(1):20-7
pubmed: 10875899
Am J Psychiatry. 2018 Nov 1;175(11):1111-1120
pubmed: 29921146
Neuron. 2008 May 8;58(3):306-24
pubmed: 18466742
Am J Psychiatry. 1999 Jan;156(1):133-5
pubmed: 9892310
Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):676-82
pubmed: 11209064
Dev Cogn Neurosci. 2018 Aug;32:55-66
pubmed: 29113758
Cereb Cortex. 2016 Jan;26(1):288-303
pubmed: 25316338
Cortex. 2016 Sep;82:225-236
pubmed: 27399612
Neuron. 2018 Apr 18;98(2):439-452.e5
pubmed: 29673485
Am J Psychiatry. 1985 May;142(5):588-92
pubmed: 3985197
Biol Psychiatry. 2017 Feb 15;81(4):325-335
pubmed: 27519822
Neuroimage. 2013 Oct 15;80:169-89
pubmed: 23684877
Neuroimage. 2016 Mar;128:264-272
pubmed: 26801604
J Am Acad Child Adolesc Psychiatry. 2012 Apr;51(4):404-11
pubmed: 22449646
Dev Cogn Neurosci. 2018 Aug;32:16-22
pubmed: 29703560
Lancet. 2013 Apr 20;381(9875):1371-1379
pubmed: 23453885
Neurosci Biobehav Rev. 2015 Sep;56:330-44
pubmed: 26234819
Am J Psychiatry. 2004 Nov;161(11):1998-2004
pubmed: 15514399
Brain Res. 2012 Apr 23;1450:57-66
pubmed: 22406068
Am J Psychiatry. 2015 Dec;172(12):1215-23
pubmed: 26085042
Neuropsychopharmacology. 2016 Jul;41(8):2001-10
pubmed: 26708106
J Neurosci Methods. 2011 Jun 15;198(2):301-11
pubmed: 21514321
Schizophr Res. 2013 Aug;148(1-3):74-80
pubmed: 23727217
Neuron. 2002 Jan 31;33(3):341-55
pubmed: 11832223
Neuroimage. 2018 Sep;178:11-22
pubmed: 29733957
J Pers Soc Psychol. 2011 Mar;100(3):426-32
pubmed: 21280965
J Am Acad Child Adolesc Psychiatry. 2012 Jul;51(7):722-732.e9
pubmed: 22721595
Brain Imaging Behav. 2016 Sep;10(3):920-39
pubmed: 26487590
Stat Med. 1995 Apr 30;14(8):721-33
pubmed: 7644854
Psychon Bull Rev. 2009 Apr;16(2):225-37
pubmed: 19293088
J Neurosci. 2010 Jul 28;30(30):10243-50
pubmed: 20668207
Neurosci Biobehav Rev. 2014 Jan;38:125-34
pubmed: 23928090

Auteurs

Narun Pornpattananangkul (N)

Emotion & Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Department of Psychology, University of Otago, Dunedin, New Zealand.

Ellen Leibenluft (E)

Emotion & Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.

Daniel S Pine (DS)

Emotion & Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.

Argyris Stringaris (A)

Emotion & Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH