Altered functional activation during happy face processing in youth at risk for bipolar disorder

2019 ◽  
Vol 254 ◽  
pp. 128
Author(s):  
Isabelle E. Bauer ◽  
Nithya Ramakrishnan ◽  
Amy S. Garrett ◽  
Stefan Ursu ◽  
Mary L. Phillips ◽  
...  
Keyword(s):  
At Risk ◽  
Bipolar Disorder ◽  
Face Processing ◽  
Happy Face ◽  
Youth At Risk

60. Predicting Future Affective Lability From Neural Circuitry Function and Gray Matter in Youth at Risk for Bipolar Disorder

2018 ◽  
Vol 83 (9) ◽  
pp. S24-S25
Author(s):  
Michele Bertocci ◽  
Lindsay Hanford ◽  
Amelia Versace ◽  
Kelly Monk ◽  
Lisa Bonar ◽  
...  
Keyword(s):  
At Risk ◽  
Bipolar Disorder ◽  
Gray Matter ◽  
Neural Circuitry ◽  
Youth At Risk ◽  
Affective Lability

scholarly journals Early Intervention for Symptomatic Youth at Risk for Bipolar Disorder: A Randomized Trial of Family-Focused Therapy

2015 ◽  
Vol 13 (1) ◽  
pp. 113-121 ◽  
Author(s):  
David J. Miklowitz ◽  
Christopher D. Schneck ◽  
Manpreet K. Singh ◽  
Dawn O. Taylor ◽  
Elizabeth L. George ◽  
...  
Keyword(s):  
At Risk ◽  
Bipolar Disorder ◽  
Early Intervention ◽  
Randomized Trial ◽  
Youth At Risk

scholarly journals 2.1 LIMBIC MICROSTRUCTURE AND CONNECTIVITY MARKERS OF ATTENTIONAL DEFICITS IN YOUTH AT RISK FOR BIPOLAR DISORDER

2021 ◽  
Vol 60 (10) ◽  
pp. S261
Author(s):  
Melissa P. DelBello ◽  
Du Lei ◽  
Max Tallman ◽  
Luis Patino Duran ◽  
Wenbin Li ◽  
...  
Keyword(s):  
At Risk ◽  
Bipolar Disorder ◽  
Attentional Deficits ◽  
Youth At Risk

Neuroimaging of bipolar disorder

2020 ◽  
pp. 744-756
Author(s):  
Mary L Phillips ◽  
Wayne C Drevets
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Bipolar Disorder ◽  
Pattern Recognition ◽  
Psychiatric Disorders ◽  
Multimodal Neuroimaging ◽  
Protein Marker ◽  
Pattern Recognition Techniques ◽  
Learning Pattern ◽  
Youth At Risk

This chapter discusses findings from recent major neuroimaging studies of bipolar disorder to provide a better understanding of larger-scale neural circuitry, neurotransmitter concentration, bioenergetic process, and protein marker abnormalities in the disorder. The chapter also reviews findings from newer areas of neuroimaging research, including studies comparing bipolar disorder with other major psychiatric disorders, multimodal neuroimaging studies, studies of youth with, and youth at risk for, the disorder, and studies using machine-learning pattern recognition techniques. These studies are paving the way for identification of robust and objective neural biomarkers of bipolar disorder that can ultimately have clinical utility.

Rational approaches to the neurobiologic study of youth at risk for bipolar disorder and suicide

2006 ◽  
Vol 8 (5p2) ◽  
pp. 526-542 ◽  
Author(s):  
M Elizabeth Sublette ◽  
Maria A Oquendo ◽  
J John Mann
Keyword(s):  
At Risk ◽  
Bipolar Disorder ◽  
Youth At Risk
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