 Connection
Kent Hutchison to Alcohol-Related Disorders
This is a "connection" page, showing publications Kent Hutchison has written about Alcohol-Related Disorders.
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Connection Strength |
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3.780 |
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Hagerty SL, Bidwell LC, Harlaar N, Hutchison KE. An Exploratory Association Study of Alcohol Use Disorder and DNA Methylation. Alcohol Clin Exp Res. 2016 08; 40(8):1633-40.
Score: 0.468
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Weiland BJ, Sabbineni A, Calhoun VD, Welsh RC, Bryan AD, Jung RE, Mayer AR, Hutchison KE. Reduced left executive control network functional connectivity is associated with alcohol use disorders. Alcohol Clin Exp Res. 2014 Sep; 38(9):2445-53.
Score: 0.412
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Karoly HC, Weiland BJ, Sabbineni A, Hutchison KE. Preliminary functional MRI results from a combined stop-signal alcohol-cue task. J Stud Alcohol Drugs. 2014 Jul; 75(4):664-73.
Score: 0.407
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Harlaar N, Bryan AD, Thayer RE, Karoly HC, Oien N, Hutchison KE. Methylation of a CpG site near the ALDH1A2 gene is associated with loss of control over drinking and related phenotypes. Alcohol Clin Exp Res. 2014 Mar; 38(3):713-21.
Score: 0.390
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Claus ED, Feldstein Ewing SW, Filbey FM, Hutchison KE. Behavioral control in alcohol use disorders: relationships with severity. J Stud Alcohol Drugs. 2013 Jan; 74(1):141-51.
Score: 0.367
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Yeo RA, Thoma RJ, Gasparovic C, Monnig M, Harlaar N, Calhoun VD, Kalyanam R, Mayer AR, Durazzo TC, Hutchison KE. Neurometabolite concentration and clinical features of chronic alcohol use: a proton magnetic resonance spectroscopy study. Psychiatry Res. 2013 Feb 28; 211(2):141-7.
Score: 0.364
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Yeo RA, Gangestad SW, Gasparovic C, Liu J, Calhoun VD, Thoma RJ, Mayer AR, Kalyanam R, Hutchison KE. Rare copy number deletions predict individual variation in human brain metabolite concentrations in individuals with alcohol use disorders. Biol Psychiatry. 2011 Sep 15; 70(6):537-44.
Score: 0.335
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Karoly HC, Skrzynski CJ, Moe EN, Bryan AD, Hutchison KE. Exploring relationships between alcohol consumption, inflammation, and brain structure in a heavy drinking sample. Alcohol Clin Exp Res. 2021 11; 45(11):2256-2270.
Score: 0.168
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Monti PM, Rohsenow DJ, Hutchison KE. Toward bridging the gap between biological, psychobiological and psychosocial models of alcohol craving. Addiction. 2000 Aug; 95 Suppl 2:S229-36.
Score: 0.155
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Karoly HC, YorkWilliams SL, Hutchison KE. Clinical neuroscience of addiction: similarities and differences between alcohol and other drugs. Alcohol Clin Exp Res. 2015 Nov; 39(11):2073-84.
Score: 0.111
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Bujarski S, Hutchison KE, Roche DJ, Ray LA. Factor Structure of Subjective Responses to Alcohol in Light and Heavy Drinkers. Alcohol Clin Exp Res. 2015 Jul; 39(7):1193-202.
Score: 0.108
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Chen J, Hutchison KE, Calhoun VD, Claus ED, Turner JA, Sui J, Liu J. CREB-BDNF pathway influences alcohol cue-elicited activation in drinkers. Hum Brain Mapp. 2015 Aug; 36(8):3007-19.
Score: 0.108
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Thayer RE, Callahan TJ, Weiland BJ, Hutchison KE, Bryan AD. Associations between fractional anisotropy and problematic alcohol use in juvenile justice-involved adolescents. Am J Drug Alcohol Abuse. 2013 Nov; 39(6):365-71.
Score: 0.097
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Boutte D, Calhoun VD, Chen J, Sabbineni A, Hutchison K, Liu J. Association of genetic copy number variations at 11 q14.2 with brain regional volume differences in an alcohol use disorder population. Alcohol. 2012 Sep; 46(6):519-27.
Score: 0.088
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Monnig MA, Caprihan A, Yeo RA, Gasparovic C, Ruhl DA, Lysne P, Bogenschutz MP, Hutchison KE, Thoma RJ. Diffusion tensor imaging of white matter networks in individuals with current and remitted alcohol use disorders and comorbid conditions. Psychol Addict Behav. 2013 Jun; 27(2):455-65.
Score: 0.086
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Filbey FM, Claus ED, Morgan M, Forester GR, Hutchison K. Dopaminergic genes modulate response inhibition in alcohol abusing adults. Addict Biol. 2012 Nov; 17(6):1046-56.
Score: 0.082
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Claus ED, Feldstein Ewing SW, Magnan RE, Montanaro E, Hutchison KE, Bryan AD. Neural mechanisms of risky decision making in adolescents reporting frequent alcohol and/or marijuana use. Brain Imaging Behav. 2018 Apr; 12(2):564-576.
Score: 0.033
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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