Brain Activation Patterns May Help Predict Bipolar Disorder Risk

New research indicates that patterns of brain activation during reward anticipation may help identify people most at risk for developing bipolar spectrum disorders.

Mania in people with bipolar spectrum disorders (BPSD) is often accompanied by impulsivity, including impulsive responses to potential rewards. In this new study, patterns of neural activation during a reward task predicted the severity of the mania symptom in young adults who have not yet developed the disorder.

“Given that emerging manic symptoms predispose to bipolar disorders, these findings can provide neural biomarkers to aid early identification of bipolar disorder risk in young adults,”

said first author Leticia de Oliveira, PhD, of Federal Fluminense University.

Biomarkers Of Bipolar Disorder Risk

Having a family member with BPSD puts a person at risk for the disorder, but the relationship doesn’t provide enough information to make decisions about potential interventions to help delay or prevent the disorder. The new study shows for the first time that brain activation patterns could be a useful biomarker to predict BPSD risk on an individual level.

“These findings could be potentially used to guide the development and choice of early therapeutic interventions, reducing the significant social costs and deleterious outcomes associated with the disorder in these vulnerable individuals,”

said Dr. Oliveira.

To be sure that the approach would apply to anyone at risk, Dr. Oliveira and colleagues performed the fMRI brain imaging in a transdiagnostic group of young adults – the participants had a variety of psychiatric complications, but none had yet developed BPSD.

Ventrolateral Prefrontal Cortex

Of the whole brain, activation in a brain region used during decision making in reward contexts, called the ventrolateral prefrontal cortex (vlPFC), contributed the most to the prediction of symptom severity. This suggests that vlPFC activity in particular may be useful to predict severity of mania symptoms associated with BPSD risk in young adults.

“This study shows how the powerful combination of computational image analysis tools and functionally targeted task fMRI (in this case reward processing) can provide insights into the neural systems underlying symptoms that may indicate liability to mania, in a young, non-bipolar transdiagnostic group of psychiatric patients,”

said Cameron Carter, MD, Editor of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.

The researchers replicated the results and the role of the vlPFC in a second independent sample of young adults in the same study, further confirming the potential utility of neural activation in this brain region as a biomarker for BPSD risk.

The work was supported by Wellcome Trust, the Pittsburgh Foundation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance; the Conselho Nacional de Desenvolvimento Científico e Tecnológico, and the Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro.

Leticia de Oliveira, Liana C.L. Portugal, Mirtes Pereira, Henry W. Chase, Michele Bertocci, Richelle Stiffler, Tsafrir Greenberg, Genna Bebko, Jeanette Lockovich, Haris Aslam, Janaina Mourao-Miranda, Mary L. Phillips
Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2019; DOI: 10.1016/j.bpsc.2019.04.005

Image: Wellcome Images


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