scholarly article | Q13442814 |
P50 | author | Martin P Paulus | Q55728952 |
Susan F Tapert | Q98173788 | ||
P2093 | author name string | Joanna Jacobus | |
Lindsay M Squeglia | |||
Ty Brumback | |||
Scott F Sorg | |||
Tam T Nguyen-Louie | |||
Benjamin S McKenna | |||
Tali M Ball | |||
P2860 | cites work | Temporal dynamics of brain activation during a working memory task. | Q48729702 |
Weaknesses in executive functioning predict the initiating of adolescents' alcohol use. | Q50588673 | ||
Comparison of direct interview and family history diagnoses of alcohol dependence. | Q52335246 | ||
A self-report measure of pubertal status: Reliability, validity, and initial norms | Q61010126 | ||
Real-time 3D image registration for functional MRI | Q73205284 | ||
Neuropsychosocial profiles of current and future adolescent alcohol misusers | Q24289323 | ||
A developmental perspective on alcohol and youths 16 to 20 years of age | Q24650328 | ||
Cortical Surface-Based Analysis | Q28124697 | ||
AFNI: software for analysis and visualization of functional magnetic resonance neuroimages | Q29547544 | ||
Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system | Q29614989 | ||
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest | Q29615076 | ||
An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests | Q30496268 | ||
Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT. | Q30671533 | ||
The effect of alcohol use on human adolescent brain structures and systems | Q30859383 | ||
Evaluation of different biological data and computational classification methods for use in protein interaction prediction | Q31031427 | ||
Big data analytics and machine learning: 2015 and beyond | Q31037114 | ||
Alcohol and Drug Use and the Developing Brain | Q31059387 | ||
Initiating moderate to heavy alcohol use predicts changes in neuropsychological functioning for adolescent girls and boys | Q33574250 | ||
Machine learning classification of resting state functional connectivity predicts smoking status | Q33760256 | ||
Brain volume reductions in adolescent heavy drinkers | Q33769868 | ||
Left middle frontal gyrus response to inhibitory errors in children prospectively predicts early problem substance use. | Q33931864 | ||
SUMA | Q34030048 | ||
Inhibition during early adolescence predicts alcohol and marijuana use by late adolescence | Q34084547 | ||
Conduct disorder among adolescent alcohol and drug abusers | Q34389326 | ||
The capacity of visual working memory for features and conjunctions | Q34447907 | ||
Brain development in heavy-drinking adolescents | Q35671980 | ||
Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study | Q35976147 | ||
Brain response to working memory over three years of adolescence: influence of initiating heavy drinking. | Q36137089 | ||
Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction | Q36383001 | ||
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression | Q36806105 | ||
BOLD response to working memory not related to cortical thickness during early adolescence | Q37323216 | ||
A longitudinal examination of adolescent response inhibition: neural differences before and after the initiation of heavy drinking. | Q37341661 | ||
Dissecting psychiatric spectrum disorders by generative embedding | Q37393835 | ||
Single-subject anxiety treatment outcome prediction using functional neuroimaging | Q37642461 | ||
Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach. | Q40922626 | ||
Level of response to alcohol and brain response during visual working memory | Q45257115 | ||
Psychometric evaluation of the Customary Drinking and Drug Use Record (CDDR): a measure of adolescent alcohol and drug involvement | Q46085791 | ||
The Alcohol Expectancy Questionnaire: an instrument for the assessment of adolescent and adult alcohol expectancies | Q46088098 | ||
Binge drinking and associated health risk behaviors among high school students | Q47291950 | ||
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | adolescence | Q131774 |
alcohol consumption | Q2647488 | ||
P304 | page(s) | 172-185 | |
P577 | publication date | 2016-08-19 | |
P1433 | published in | American Journal of Psychiatry | Q1935368 |
P1476 | title | Neural Predictors of Initiating Alcohol Use During Adolescence | |
P478 | volume | 174 |
Q90677101 | Adolescent Brain Surface Area Pre- and Post-Cannabis and Alcohol Initiation |
Q55078476 | Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals. |
Q89314072 | Alterations in resting-state functional connectivity in substance use disorders and treatment implications |
Q38642789 | Connecting brain responsivity and real-world risk taking: Strengths and limitations of current methodological approaches |
Q89669469 | Convergent neurobiological predictors of emergent psychopathology during adolescence |
Q47985854 | Cortical Thickness in Adolescents with a Family History of Alcohol Use Disorder. |
Q50422407 | Effects of adolescent alcohol consumption on the brain and behaviour. |
Q99552527 | Executive Control in Early Childhood as an Antecedent of Adolescent Problem Behaviors: A Longitudinal Study with Performance-based Measures of Early Childhood Cognitive Processes |
Q38729350 | Executive functioning and substance use in adolescence: Neurobiological and behavioral perspectives |
Q61447039 | Exploring associations between early substance use and longitudinal socio-occupational functioning in young people engaged in a mental health service |
Q89757370 | General Anesthetic Exposure During Early Adolescence Persistently Alters Ethanol Responses |
Q41673486 | Gray Matter Abnormalities in the Inhibitory Circuitry of Young Binge Drinkers: A Voxel-Based Morphometry Study |
Q50451629 | Inhibitory control and response monitoring are not systematically related to weekly alcohol consumption in the general population. |
Q38770217 | Lower total and regional grey matter brain volumes in youth with perinatally-acquired HIV infection: Associations with HIV disease severity, substance use, and cognition |
Q91464084 | Machine learning in mental health: a scoping review of methods and applications |
Q89628841 | Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships |
Q90071309 | Neurobiological and Cognitive Profile of Young Binge Drinkers: a Systematic Review and Meta-Analysis |
Q83232083 | Predicting development of adolescent drinking behaviour from whole brain structure at 14 years of age |
Q113506434 | Predicting states of elevated negative affect in adolescents from smartphone sensors: a novel personalized machine learning approach |
Q38666911 | Prediction of alcohol use disorder using personality disorder traits: a twin study |
Q45987023 | Prospective changes in neural alcohol cue reactivity in at-risk adolescents. |
Q39438402 | Research Review: What have we learned about adolescent substance use? |
Q64077266 | Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users |
Q47353167 | Role of the innate immune system in the neuropathological consequences induced by adolescent binge drinking. |
Q90859594 | Striatal activity correlates with stimulant-like effects of alcohol in healthy volunteers |
Q33855284 | The Burden of Binge and Heavy Drinking on the Brain: Effects on Adolescent and Young Adult Neural Structure and Function |
Q89759340 | The association between early life mental health and alcohol use behaviours in adulthood: A systematic review |
Q47791841 | The intersection between response inhibition and substance use among adolescents |
Q38787269 | The potential of neuroimaging for identifying predictors of adolescent alcohol use initiation and misuse |
Q94566937 | Towards a brain-based predictome of mental illness |
Search more.