Impact of binge drinking during college on resting state functional connectivity.
paper
Primary
Public
- Authors
- Tong, Tien T; Vaidya, Jatin G; Kramer, John R; Kuperman, Samuel; Langbehn, Douglas R; O'Leary, Daniel S
- Year
- 2021
- Journal
- Drug and alcohol dependence
- PMID
- 34388578
- DOI
- 10.1016/j.drugalcdep.2021.108935
- PMCID
- PMC8464531
AIM: The current study examined the longitudinal effects of standard binge drinking (4+/5+ drinks for females/males in 2 hours) and extreme binge drinking (8+/10+ drinks for females/males in 2 hours) on resting-state functional connectivity. METHOD: 119 college students (61 males) were recruited in groups of distinct bingeing patterns at baseline: non-bingeing controls, standard and extreme bingers. Resting-state scans were first obtained when participants were freshmen/sophomores and again approximately two years later. Associations between longitudinal bingeing (reported during this two-year gap) and network connectivity were examined. Network connectivity was calculated by aggregating all edges affiliated with the same network (an edge is a functional connection between two brain regions). The relationship between longitudinal bingeing and connectivity edges was also studied using connectome-based predictive modeling (CPM). RESULTS: Greater standard bingeing was negatively associated with change in connectivity between Default Mode Network and Ventral Attention Network (DMN-VAN; False Discovery Rate corrected), controlling for initial binge groups, longitudinal network changes, motions, scanner, SES, sex, and age. The correlations between change in DMN-VAN connectivity and change in cognitive performance (Stroop, Digit Span, Letter Fluency, and Trail Making) were also tested, but the results were not significant. Lastly, CPM failed to identify a generalizable predictive model of longitudinal bingeing from change in connectivity edges. CONCLUSIONS: Binge drinking is associated with abnormality in networks implicated in attention and self-focused processes, which, in turn, have been implicated in rumination, craving, and relapse. More extensive alterations in functional connectivity might be observed with heavier or longer binge drinking pattern.
Significant result of the network-level analysis. A) Seeds of the Default Mode Network (DMN, orange) and Ventral Attention Network (VAN, black). B) Association between the predicted change in DMN-VAN connectivity (Time 2 minus Time 1) and log-transformed longitudinal standard bingeing.
Results of the consistency analysis. Edges with change in connectivity strength (Time 2 minus Time 1) that demonstrated significant (puncorrected<.0001) and consistent A) positive and B) negative associations with longitudinal standard bingeing, and consistent C) positive and D) negative associations with longitudinal extreme bingeing. Only important seeds with degree ≥ 30 are depicted (a range of degree threshold was examined, the degree threshold of 30 was chosen due to its high interpretability). Degree is the total number of edges linked to a seed. Seed size is proportional to their degree. Left/right hemisphere is on the left/right, respectively.
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| Citation | PMID | DOI | Status |
|---|---|---|---|
| ArienzoD, HapperJP, MolnarSM, Alderson-MyersA, MarinkovicK, 2019. Binge drinking is associated with altered resting state functional connectivity of reward-salience and top down control networks. Brain Imaging Behav10.1007/s11682-019-00107-6PMC684204131073695 | — | — | — |
| BiswalB, YetkinFZ, HaughtonVM, HydeJS, 1995. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med34, 537–541. 10.1002/mrm.19103404098524021 | — | — | — |
| ColeMW, BassettDS, PowerJD, BraverTS, PetersenSE, 2014. Intrinsic and Task-Evoked Network Architectures of the Human Brain. Neuron83, 238–251. 10.1016/j.neuron.2014.05.01424991964PMC4082806 | — | — | — |
| CorreasA, CuestaP, López-CanedaE, Rodríguez HolguínS, García-MorenoLM, Pineda-PardoJA, CadaveiraF, MaestúF, 2016. Functional and structural brain connectivity of young binge drinkers: A follow-up study. Sci. Rep6, 31293. 10.1038/srep3129327506835PMC4978962 | — | — | — |
| CoxRW, HydeJS, 1997. Software tools for analysis and visualization of fMRI data. NMR Biomed. Int. J. Devoted Dev. Appl. Magn. Reson. Vivo10, 171–178.10.1002/(sici)1099-1492(199706/08)10:4/5<171::aid-nbm453>3.0.co;2-l9430344 | — | — | — |
| CraneNA, GorkaSM, PhanKL, ChildsE, 2018. Amygdala-orbitofrontal functional connectivity mediates the relationship between sensation seeking and alcohol use among binge-drinking adults. Drug Alcohol Depend. 192, 208–214. 10.1016/j.drugalcdep.2018.07.04430268936PMC6800008 | — | — | — |
| EstebanO, MarkiewiczCJ, BlairRW, MoodieCA, IsikAI, ErramuzpeA, KentJD, GoncalvesM, DuPreE, SnyderM, OyaH, GhoshSS, WrightJ, DurnezJ, PoldrackRA, GorgolewskiKJ, 2019. fMRIPrep: A robust preprocessing pipeline for functional MRI. Nat. Methods16, 111–116. 10.1038/s41592-018-0235-430532080PMC6319393 | — | — | — |
| FedeSJ, GrodinEN, DeanSF, DiazgranadosN, MomenanR, 2019. Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users. NeuroImage Clin. 22, 101782. 10.1016/j.nicl.2019.10178230921611PMC6438989 | — | — | — |
| HermanAM, CritchleyHD, DukaT, 2019. Binge drinking is associated with attenuated frontal and parietal activation during successful response inhibition in fearful context. Eur. J. Neurosci50, 2297–2310. 10.1111/ejn.1410830099805 | — | — | — |
| HingsonRW, WhiteA, 2013. Trends in extreme binge drinking among US high school seniors. JAMA Pediatr167, 996–998. 10.1001/jamapediatrics.2013.308324042186 | — | — | — |
| HingsonRW, ZhaW, WhiteAM, 2017. Drinking beyond the binge threshold: Predictors, consequences, and changes in the U.S. Am. J. Prev. Med52, 717–727. 10.1016/j.amepre.2017.02.01428526355 | — | — | — |
| HuS, IdeJS, ChaoHH, ZhornitskyS, FischerKA, WangW, ZhangS, LiCR, 2018. Resting state functional connectivity of the amygdala and problem drinking in non-dependent alcohol drinkers. Drug Alcohol Depend185, 173–180. 10.1016/j.drugalcdep.2017.11.02629454928PMC5889735 | — | — | — |
| JenkinsonM, BannisterP, BradyM, SmithS, 2002. Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage17, 825–841. 10.1006/nimg.2002.113212377157 | — | — | — |
| KannyD, NaimiTS, LiuY, LuH, BrewerRD, 2018. Annual total binge drinks consumed by U.S. adults, 2015. Am. J. Prev. Med54, 486–496. 10.1016/j.amepre.2017.12.02129555021PMC6075714 | — | — | — |
| KnightJR, WechslerH, KuoM, SeibringM, WeitzmanER, SchuckitMA, 2002. Alcohol abuse and dependence among U.S. college students. J. Stud. Alcohol63, 263–270. 10.15288/jsa.2002.63.26312086126 | — | — | — |
| KühnS, GallinatJ, 2011. Common biology of craving across legal and illegal drugs – a quantitative meta-analysis of cue-reactivity brain response. Eur. J. Neurosci33, 1318–1326. 10.1111/j.1460-9568.2010.07590.x21261758 | — | — | — |
| LeesB, MewtonL, StapinskiLA, SquegliaLM, RaeCD, TeessonM, 2019. Neurobiological and cognitive profile of young binge drinkers: A systematic review and meta-analysis. Neuropsychol. Rev10.1007/s11065-019-09411-wPMC723152431512192 | — | — | — |
| Linden- CarmichaelAN, VasilenkoSA, LanzaST, MaggsJL, 2017. High-intensity drinking versus heavy episodic drinking: Prevalence rates and relative odds of acohol use disorder across adulthood. Alcohol. Clin. Exp. Res41, 1754–1759. 10.1111/acer.1347528800154PMC5626636 | — | — | — |
| LiQ, LiZ, LiW, ZhangY, WangY, ZhuJ, ChenJ, LiY, YanX, YeJ, 2016. Disrupted Default Mode Network and basal craving in male heroin-dependent individuals: A resting-state fMRI study. J. Clin. Psychiatry77, 1211–1217. 10.4088/JCP.15m0996527574841 | — | — | — |
| LiW, LiQ, WangD, XiaoW, LiuK, ShiL, ZhuJ, LiY, YanX, ChenJ, YeJ, LiZ, WangY, WangW, 2015. Dysfunctional Default Mode Network in methadone treated patients who have a higher heroin relapse risk. Sci. Rep5, 15181. 10.1038/srep1518126469876PMC4606802 | — | — | — |
| MarekS, Tervo-ClemmensB, CalabroFJ, MontezDF, KayBP, HatoumAS, DonohueMR, ForanW, MillerRL, FeczkoE, Miranda-DominguezO, GrahamAM, EarlEA, PerroneAJ, CordovaM, DoyleO, MooreLA, ConanG, UriarteJ, SniderK, TamA, ChenJ, NewboldDJ, ZhengA, SeiderNA, VanAN, LaumannTO, ThompsonWK, GreeneDJ, PetersenSE, NicholsTE, YeoBTT, BarchDM, GaravanH, LunaB, FairDA, DosenbachNUF, 2020. Towards Reproducible Brain-Wide Association Studies (preprint). Neuroscience 10.1101/2020.08.21.257758 | — | — | — |
| MarxenM, GanG, SchwarzD, MennigenE, PilhatschM, ZimmermannUS, GuentherM, SmolkaMN, 2014. Acute Effects of Alcohol on Brain Perfusion Monitored with Arterial Spin Labeling Magnetic Resonance Imaging in Young Adults. J. Cereb. Blood Flow Metab34, 472–479. 10.1038/jcbfm.2013.22324398943PMC3948127 | — | — | — |
| NaimiTS, NelsonDE, BrewerRD, 2010. The intensity of binge alcohol consumption among U.S. adults. Am. J. Prev. Med38, 201–207. 10.1016/j.amepre.2009.09.03920117577 | — | — | — |
| NobleS, ScheinostD, ConstableRT, 2019. A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage203, 116157. 10.1016/j.neuroimage.2019.11615731494250PMC6907736 | — | — | — |
| O’LearyDS, LangbehnDR, KramerJR, KupermanS, FuhrmeisterLA, VaidyaJG, 2019. Personality traits and negative consequences associated with binge drinking and marijuana use in college students. Am. J. Drug Alcohol Abuse45, 400–409. 10.1080/00952990.2019.160120031042417PMC7474925 | — | — | — |
| PatrickME, 2016. A call for research on high-intensity alcohol use. Alcohol. Clin. Exp. Res40, 256–259. 10.1111/acer.1294526842244PMC4743888 | — | — | — |
| PatrickME, CronceJM, FairlieAM, AtkinsDC, LeeCM, 2016. Day-to-day variations in high-intensity drinking, expectancies, and positive and negative alcohol-related consequences. Addict. Behav58, 110–116. 10.1016/j.addbeh.2016.02.02526922158PMC4808393 | — | — | — |
| PatrickME, SchulenbergJE, MartzME, MaggsJL, O’MalleyPM, JohnstonLD, 2013. Extreme binge drinking among 12th-grade students in the United States: Prevalence and predictors. JAMA Pediatr167, 1019–1025. 10.1001/jamapediatrics.2013.239224042318PMC3818300 | — | — | — |
| PetersS, JollesDJ, DuijvenvoordeACKV, CroneEA, PeperJS, 2015. The link between testosterone and amygdala–orbitofrontal cortex connectivity in adolescent alcohol use. Psychoneuroendocrinology53, 117–126. 10.1016/j.psyneuen.2015.01.00425618591 | — | — | — |
| PetersS, PeperJS, DuijvenvoordeACKV, BraamsBR, CroneEA, 2017. Amygdala– orbitofrontal connectivity predicts alcohol use two years later: a longitudinal neuroimaging study on alcohol use in adolescence. Dev. Sci20, e12448. 10.1111/desc.1244827774764 | — | — | — |
| PowerJD, CohenAL, NelsonSM, WigGS, BarnesKA, ChurchJA, VogelAC, LaumannTO, MiezinFM, SchlaggarBL, PetersenSE, 2011. Functional network organization of the human brain. Neuron72, 665–678. 10.1016/j.neuron.2011.09.00622099467PMC3222858 | — | — | — |
| PruimRHR, MennesM, van RooijD, LleraA, BuitelaarJK, BeckmannCF, 2015. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. NeuroImage112, 267–277. 10.1016/j.neuroimage.2015.02.06425770991 | — | — | — |
| RaichleME, 2015. The Brain’s Default Mode Network. Annu. Rev. Neurosci38, 433–447. 10.1146/annurev-neuro-071013-01403025938726 | — | — | — |
| ReadJP, BeattieM, ChamberlainR, MerrillJE, 2008. Beyond the “binge” threshold: Heavy drinking patterns and their association with alcohol involvement indices in college students. Addict. Behav33, 225–234. 10.1016/j.addbeh.2007.09.00117997047 | — | — | — |
| RuanH, ZhouY, LuoQ, RobertGH, DesrivièresS, QuinlanEB, LiuZ, BanaschewskiT, BokdeALW, BrombergU, BüchelC, FlorH, FrouinV, GaravanH, GowlandP, HeinzA, IttermannB, MartinotJ-L, MartinotM-LP, NeesF, OrfanosDP, PoustkaL, HohmannS, FröhnerJH, SmolkaMN, WalterH, WhelanR, LiF, SchumannG, FengJ, 2019. Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation. NeuroImage Clin22, 101804. 10.1016/j.nicl.2019.10180430991616PMC6451196 | — | — | — |
| SanoM, WendtPE, WirsénA, StenbergG, RisbergJ, IngvarDH, 1993. Acute effects of alcohol on regional cerebral blood flow in man. J. Stud. Alcohol54, 369–376. 10.15288/jsa.1993.54.3698487546 | — | — | — |
| SeitzmanBA, GrattonC, MarekS, RautRV, DosenbachNUF, SchlaggarBL, PetersenSE, GreeneDJ, 2020. A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum. NeuroImage206, 116290. 10.1016/j.neuroimage.2019.11629031634545PMC6981071 | — | — | — |
| SheehanDV, LecrubierY, SheehanKH, AmorimP, JanavsJ, WeillerE, HerguetaT, BakerR, DunbarGC, 1998. The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J. Clin. Psychiatry9881538 | — | — | — |
| ShenX, FinnES, ScheinostD, RosenbergMD, ChunMM, PapademetrisX, ConstableRT, 2017. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nat. Protoc12, 506–518. 10.1038/nprot.2016.17828182017PMC5526681 | — | — | — |
| Shokri-KojoriE, TomasiD, WiersCE, WangG-J, VolkowND, 2017. Alcohol affects brain functional connectivity and its coupling with behavior: greater effects in male heavy drinkers. Mol. Psychiatry22, 1185–1195. 10.1038/mp.2016.2527021821PMC5138152 | — | — | — |
| SousaSS, SampaioA, MarquesP, López-CanedaE, GonçalvesÓF, CregoA, 2019. Functional and structural connectivity of the executive control network in college binge drinkers. Addict. Behav99, 106009. 10.1016/j.addbeh.2019.05.03331487578 | — | — | — |
| StrangNM, ClausED, RamchandaniVA, Graff-GuerreroA, BoileauI, HendershotCS, 2015. Dose-dependent effects of intravenous alcohol administration on cerebral blood flow in young adults. Psychopharmacology (Berl.)232, 733–744. 10.1007/s00213-014-3706-z25110231 | — | — | — |
| TaylorPA, SaadZS, 2013. FATCAT:(an efficient) functional and tractographic connectivity analysis toolbox. Brain Connect3, 523–535.2398091210.1089/brain.2013.0154PMC3796333 | — | — | — |
| TolentinoNJ, WierengaCE, HallS, TapertSF, PaulusMP, LiuTT, SmithTL, SchuckitMA, 2011. Alcohol Effects on Cerebral Blood Flow in Subjects With Low and High Responses to Alcohol. Alcohol. Clin. Exp. Res35, 1034–1040. 10.1111/j.1530-0277.2011.01435.x21332525PMC3097275 | — | — | — |
| TongTT, VaidyaJG, KramerJR, KupermanS, LangbehnDR, O’LearyDS, 2020. Behavioral inhibition and reward processing in college binge drinkers with and without marijuana use. Drug Alcohol Depend213, 108119. 10.1016/j.drugalcdep.2020.10811932599494PMC7736054 | — | — | — |
| VolkowND, KimSW, WangG-J, AlexoffD, LoganJ, MuenchL, SheaC, TelangF, FowlerJS, WongC, BenvenisteH, TomasiD, 2013. Acute alcohol intoxication decreases glucose metabolism but increases acetate uptake in the human brain. NeuroImage64, 277–283. 10.1016/j.neuroimage.2012.08.05722947541PMC3508320 | — | — | — |
| VosselS, GengJJ, FinkGR, 2014. Dorsal and ventral attention systems: Distinct neural circuits but collaborative roles. The Neuroscientist20, 150–159. 10.1177/107385841349426923835449PMC4107817 | — | — | — |
| WeilandBJ, SabbineniA, CalhounVD, WelshRC, BryanAD, JungRE, MayerAR, HutchisonKE, 2014. Reduced left Executive Control Network functional connectivity is associated with Alcohol Use Disorders. Alcohol. Clin. Exp. Res38, 2445–2453. 10.1111/acer.1250525257293PMC4180110 | — | — | — |
| WeschlerH, DavenportA, DowdallG, MoeykensB, CastilloS, 1994. Health and behavioral consequences of binge drinking in college. J. Am. Med. Assoc272, 1672–1677.7966895 | — | — | — |
| WhiteAM, KrausCL, SwartzwelderHS, 2006. Many college freshmen drink at levels far beyond the binge threshold. Alcohol. Clin. Exp. Res30, 1006–1010. 10.1111/j.1530-0277.2006.00122.x16737459 | — | — | — |
| WilsonSJ, SayetteMA, 2015. Neuroimaging craving: urge intensity matters. Addiction110, 195–203. 10.1111/add.1267625073979PMC4410051 | — | — | — |
| World Health Organization (Ed.), 2011. Global status report on alcohol and health. World Health Organization, Geneva, Switzerland. | — | — | — |
| YeoBT, KrienenFM, SepulcreJ, SabuncuMR, LashkariD, HollinsheadM, RoffmanJL, SmollerJW, ZölleiL, PolimeniJR, FischlB, LiuH, BucknerRL, 2011. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol106, 1125–1165. 10.1152/jn.00338.201121653723PMC3174820 | — | — | — |
| ZhangR, VolkowND, 2019. Brain default-mode network dysfunction in addiction. NeuroImage200, 313–331. 10.1016/j.neuroimage.2019.06.03631229660 | — | — | — |
| ZilverstandA, HuangAS, Alia-KleinN, GoldsteinRZ, 2018. Neuroimaging impaired response inhibition and salience attribution in human drug addiction: A systematic review. Neuron98, 886–903. 10.1016/j.neuron.2018.03.04829879391PMC5995133 | — | — | — |
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