Diabetes Metab J.  2022 Nov;46(6):866-878. 10.4093/dmj.2021.0307.

Abnormal Responses in Cognitive Impulsivity Circuits Are Associated with Glycosylated Hemoglobin Trajectories in Type 1 Diabetes Mellitus and Impaired Metabolic Control

Affiliations
  • 1PIDFIF, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT)/Instituto de Ciências Nucleares Aplicadas à Saúde (ICNAS), University of Coimbra, Coimbra, Portugal
  • 2CIBIT/ICNAS, University of Coimbra, Coimbra, Portugal
  • 3Endocrinology, Diabetes and Metabolism Department (SEMD), Coimbra University Hospital, University of Coimbra, Coimbra, Portugal
  • 4Faculty of Psychology and Educational Sciences & Center for Social Studies, University of Coimbra, Coimbra, Portugal

Abstract

Background
Risky health decisions and impulse control profiles may impact on metabolic control in type 1 diabetes mellitus (T1DM). We hypothesize that the neural correlates of cognitive impulsivity and decision-making in T1DM relate to metabolic control trajectories.
Methods
We combined functional magnetic resonance imaging (fMRI), measures of metabolic trajectories (glycosylated hemoglobin [HbA1c] over multiple time points) and behavioral assessment using a cognitive impulsivity paradigm, the Balloon Analogue Risk Task (BART), in 50 participants (25 T1DM and 25 controls).
Results
Behavioral results showed that T1DM participants followed a rigid conservative risk strategy along the iterative game. Imaging group comparisons showed that patients showed larger activation of reward related, limbic regions (nucleus accumbens, amygdala) and insula (interoceptive saliency network) in initial game stages. Upon game completion differences emerged in relation to error monitoring (anterior cingulate cortex [ACC]) and inhibitory control (inferior frontal gyrus). Importantly, activity in the saliency network (ACC and insula), which monitors interoceptive states, was related with metabolic trajectories, which was also found for limbic/reward networks. Parietal and posterior cingulate regions activated both in controls and patients with adaptive decision-making, and positively associated with metabolic trajectories.
Conclusion
We found triple converging evidence when comparing metabolic trajectories, patients versus controls or risk averse (non-learners) versus patients who learned by trial and error. Dopaminergic reward and saliency (interoceptive and error monitoring) circuits show a tight link with impaired metabolic trajectories and cognitive impulsivity in T1DM. Activity in parietal and posterior cingulate are associated with adaptive trajectories. This link between reward-saliency-inhibition circuits suggests novel strategies for patient management.

Keyword

Diabetes mellitus type 1; Decision making; Glycated hemoglobin A; Impulsive behavior; Risk factors; Treatment adherence and compliance

Figure

  • Fig. 1. Schematic diagram for a trial sequence in the Balloon Analogue Risk Task (BART) at functional magnetic resonance imaging. For each balloon (stimulus), participants had to decide (choice) inflate the balloon or collet the money earned. The consequence of that choice (feedback) was revealed by a sound of balloon explosion (if the balloon exploded) or a sound of a money machine (if they collected the money). Participants were presented with 30 balloon series, one balloon at a time in the center of the screen. To make decisions, participants used a button-press to click to inflate (right button) or to click to stop inflate and save the money (left button). Participants do not know in advance the exact probability of explosion nor the maximum number of inflations. RT, reaction time.

  • Fig. 2. Group differences between the type 1 diabetes mellitus (T1DM) and control group during first balloon (A), last balloon (B, end of game) and “explode” (C) outcome condition of the impulse control Balloon Analogue Risk Task (BART) task. (A) Differential activations in limbic, reward, saliency and inhibitory control regions: right amygdala, ventral, and dorsal striatum (nucleus accumbens, putamen, and caudate), insula (saliency network) and inferior frontal gyrus (minimum cluster size 78 voxels, for details see methods). (B) Last balloon condition (after trial and error learning in iterative decision-making). T1DM showed higher activity in regions related to error monitoring, in anterior saliency network regions such as bilateral anterior cingulate cortex (ACC; BA32, BA24) and frontal regions (9, 10, 8, 45). Patients revealed decreased blood oxygen level dependent (BOLD) activity (blue) in posterior cingulate cortex (BA23, 30, 31) (minimum cluster size 95 voxels). (C) Group differences in the explode outcome condition. T1DM showed higher BOLD activity in areas related to error monitoring and uncertainty, in particular the medial prefrontal cortex and ACC.

  • Fig. 3. A functional magnetic resonance imaging whole brain correlation analysis between glycosylated hemoglobin (HbA1c) values and blood oxygen level dependent (BOLD) activity, in type 1 diabetes mellitus patients. (A) Whole brain correlation analysis between BOLD activity during the first balloon condition and HbA1c (higher HbA1c trajectory values featuring a poorer metabolic control). A positive value (red) for the correlation, means that poorer the metabolic control (higher the HbA1c), higher the BOLD activity. This was found in prefrontal regions and in particular subgenual anterior cingulate cortex (ACC, 32, 25) and dorsal and ventral striatal regions. (B) Whole brain correlation analysis between BOLD activity during last balloon condition and HbA1c (higher HbA1c trajectories meaning a poorer metabolic control). A positive value (red) for the correlation, means that poorer the metabolic control (higher the HbA1c), higher the BOLD activity. This was found again in saliency regions (ACC, 32, 25) as well as in subcortical reward related regions (caudate, putamen, nucleus accumbens) and the Insula, whereas negative correlations were found mainly in posterior cingulate and parietal regions (BA31, BA23, BA7, BA39, BA40, but see temporal BA22).

  • Fig. 4. Group comparisons for patients with risk averse (less adaptive) versus risk-taking (learners by trial and error) profiles for the first balloon, last balloon, cash out decision and explode outcome conditions. (A) First balloon condition. Differences dominated in posterior parietal regions. (B) Last balloon condition. A similar pattern was observed (with the more adaptive patient mode being similar to the one observed in controls). (C) Cash out condition. Risk averse type 1 diabetes mellitus (T1DM) patients showed higher blood oxygen level dependent (BOLD) activity than risk seeking T1DM patients in insula, left BA44 and BA9. Conversely, risk seeking T1DM patients showed higher BOLD activity in right caudate, left anterior cingulate cortex (BA24, BA32), prefrontal cortex (BA10) and inferior frontal gyrus (BA44). (D) Explode outcome series. Risk averse T1DM patients showed higher BOLD activity than risk seeking T1DM patients in anterior cingulate cortex (BA32), inferior frontal gyrus (BA44), prefrontal cortex (BA9). Conversely, risk seeking T1DM patients showed higher BOLD activity than risk averse T1DM patients in parietal and posterior cingulate regions.


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