biostudies-literatureOttino-Gonzalez JIntramural NIH HHSNIBIB NIH HHSNCATS NIH HHSNIDA NIH HHSNIAAA NIH HHSNational Institute on Drug Abuse109185https://www.ebi.ac.uk/biostudies/studies/S-EPMC8952409biostudies-literatureUnknown230<h4>Background</h4>Nicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention.<h4>Methods</h4>Eleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence.<h4>Results</h4>The cocaine anDrug and alcohol dependenceWhite matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group.PMC8952409P41 EB015922R01 DA047851R01 DA048301R01 DA023248T32 DA043593K25 DA040032UL1 TR001863R21 DA034954R01 AA021449ZIA AA000123R01 DA047119R01 DA041528R01 DA020726Cupertino RBLochner CGaravan HGoldstein RZZhang SLi CRUhlmann AZhao MLondon EDAlia-Klein NMasjoodi SFouche JPStein EALuijten MRoos AVerdejo-Garcia AVeltman DJJahanshad NConrod PEkhtiari HMomenan ROttino-Gonzalez JAllgaier NZhong NSchwab NStein DJHahn SCao ZOghabian MAMackey SThompson PMfalseWhite matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group.<h4>Background</h4>Nicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention.<h4>Methods</h4>Eleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence.<h4>Results</h4>The cocaine an2022-01-01T00:00:00Z2022 Jan2025-04-21T15:23:40.019Z2025-04-21T15:23:40.019ZS-EPMC89524093486149310.1016/j.drugalcdep.2021.109185