Effects of Hyperglycemia and Hyperinsulinemia on Amplitude of Low Frequency Fluctuations in Medial Frontal and Posterior Cingulate Cortices in Healthy Non-Diabetic Subjects
Nicolas R. Bolo1,2, Alan M. Jacobson3, Brandon Hager1, Gail Musen2,4, Matcheri Keshavan1,2, and Donald C. Simonson5,6

1Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States, 2Psychiatry, Harvard Medical School, Boston, MA, United States, 3Research Institute, Winthrop University Hospital, Mineola, NY, United States, 4Research Division, Joslin Diabetes Center, Boston, MA, United States, 5Division of Endocrinology, Brigham and Women's Hospital, Boston, MA, United States, 6Harvard Medical School, Boston, MA, United States

Synopsis

Our goal is to elucidate the independent effects of hyperglycemia and hyperinsulinemia on brain function. We measured whole-brain amplitude of low frequency fluctuations (ALFF) in slow-band 5 (SB5: 0.01-0.027Hz) and slow-band 4 (SB4: 0.027-0.073Hz) in 10 healthy non-diabetic subjects using resting state fMRI during fasting baseline euglycemia (EU), hyperglycemia (HG) and euglycemic hyperinsulinemia (EU-HI). SB5 fractional ALFF was decreased in the left medial frontal gyrus and right posterior cingulate/cuneus/precuneus cortices during HG, but not during EU-HI, relative to EU. Our findings may help understand brain functional adaptations to chronic hyperglycemia in diabetes, and their implications for comorbid neuropsychiatric complications.

Purpose

The independent effects of plasma glucose and insulin on brain function are not clearly defined. Chronically elevated plasma glucose is characteristic of type-1 diabetes (T1D). Altered brain function has been associated with poor glucose control in T1D1,2, and hyperglycemia has been implicated in associated cognitive and mood impairments3. Elevated plasma insulin is often present in type-2 diabetes (T2D) and metabolic syndrome. These metabolic disorders have been associated with altered brain function4 and an elevated risk for mild cognitive impairment and Alzheimer’s disease5; chronic hyperinsulinemia related to insulin resistance may also be a contributing factor6. Yet, the mechanisms by which these metabolic disorders affect brain metabolism and function are still poorly understood. The goal of this study was to elucidate the independent effects of hyperglycemia and hyperinsulinemia on regional brain function measured by amplitude of low frequency fluctuations (ALFF) using resting state functional magnetic resonance imaging (rs-fMRI) in healthy individuals.

Methods

We measured whole brain ALFF7 and fractional ALFF (fALFF)8 in slow-band 5 (SB5: 0.01-0.027 Hz) and slow-band 4 (SB4: 0.027-0.073 Hz)9 during 2 separate MRI scanning visits in 10 healthy non-diabetic subjects [mean (± SD) age = 28 ± 7 yrs, 6 M / 4 F, HbA1c = 5.5 ± 0.3%, fasting plasma glucose = 93 ± 6 mg/dl, fasting insulin = 4.0 ± 2.5 μU/ml]. Subjects were instructed to keep their eyes open and stare at a cross during a 6-minute rs-fMRI run. During visit 1, rs-fMRI was performed in the fasted euglycemic (EU1) state followed by a hyperglycemic (HG) clamp during which a primed-variable glucose infusion was used to raise plasma glucose concentration by approximately 100 mg/dl for 60 minutes (mean glucose = 205 ± 17 mg/dl, insulin response = 36 ± 24 μU/ml). During visit 2, at least 15 days later, subjects were again studied in the basal state (EU2) followed by a hyperinsulinemic euglycemic clamp (EU-HI) during which a primed-continuous insulin infusion was administered to match the insulin levels achieved during the HG clamp, and a variable glucose infusion was administered to maintain euglycemia (mean glucose = 96 ± 7 mg/dl, insulin = 32 ± 21 μU/ml). All MRI data was acquired on a 3T GE Signa HDxt scanner. A T1-weighted structural scan (MPRAGE) was acquired for each session to aid registration of the fMRI data to standard MNI-152 space. A BOLD-EPI sequence was used for rs-fMRI (TR/TE=3000/27 ms, flip=8º, voxel size = 3.75 x 3.75 x 4 mm,180 volumes). We analyzed rs-FMRI data using the FSL (fsl.fmri.ox.ac.uk) and DPARSF (rfmri.org) software packages to obtain SB4 and SB5 ALFF and fALFF on a voxel-wise basis for each subject during each condition. We performed paired comparisons of SB5 fALFF during 1) EU1 vs. HG (Visit 1), 2) EU2 vs. EU-HI (Visit 2), and 3) HG (Visit 1) vs. EU-HI (Visit 2) using the general linear model.

Results

SB5 fALFF was significantly decreased in the left medial frontal gyrus (MFG) and right posterior cingulate (PCC) and cuneus/precuneus cortices during HG relative to EU1 (p<0.01, corrected - Fig. 1), but no significant difference was found during EU-HI relative to EU2. No significant difference was found in these regions between the HG (hyperglycemia) and EU-HI (matched hyperinsulinemic euglycemia) clamps, but SB5 fALFF was decreased in the left putamen during HG relative to EU-HI (p<0.01, corrected - Fig. 2). Thus, high plasma glucose combined with high insulin significantly decreased MFG/PCC SB5 fALFF, while high plasma insulin alone with normal glucose levels had no significant independent effect on SB5 fALFF.

Discussion and Conclusion

Our results demonstrate that acute high plasma glucose and insulin, such as may be encountered after a high glycemic load meal, decreases SB5 fALFF in the MFG and PCC/precuneus, while matching high plasma insulin has no significant independent effect on these brain regions in healthy individuals. ALFF and fALFF have been proposed to reflect the regional intensity of spontaneous neuronal activity (SNA)10,11. We evaluated ALFF and fALFF as proposed by Zuo et al.12 in distinct frequency bands based on work suggesting that independent frequency bands are generated by distinct oscillators9. We focused on fALFF because it was shown to be less sensitive to signal fluctuations due to physiological noise8, and on SB5 because it was shown to be preferentially localized in cortical grey matter12. Our results suggest that SNA decreases in MFG and PCC/precuneus, regions associated with executive function and the default mode respectively, during hyperglycemia. These findings on the acute effects of hyperglycemia may be helpful in understanding brain functional adaptations to chronic hyperglycemia in diabetes, and their implications for comorbid neuropsychiatric complications.

Acknowledgements

This work was supported by NIH grant DK-084202 (PI: N. Bolo).

References

1. Bolo, N. R. et al. Brain activation during working memory is altered in patients with type 1 diabetes during hypoglycemia. Diabetes 60, 3256–3264 (2011).

2. Bolo, N. R. et al. Functional Connectivity of Insula, Basal Ganglia, and Prefrontal Executive Control Networks during Hypoglycemia in Type 1 Diabetes. J Neurosci 35, 11012–11023 (2015).

3. Lyoo, I. K. et al. Altered prefrontal glutamate-glutamine-gamma-aminobutyric acid levels and relation to low cognitive performance and depressive symptoms in type 1 diabetes mellitus. Arch Gen Psychiatry 66, 878–887 (2009).

4. Musen, G. et al. Resting-state brain functional connectivity is altered in type 2 diabetes. Diabetes 61, 2375–2379 (2012).

5. Craft, S. & Watson, G. S. Insulin and neurodegenerative disease: shared and specific mechanisms. Lancet neurology 3, 169–178 (2004).

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8. Zou, Q.-H. et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF. J. Neurosci. Methods 172, 137–141 (2008).

9. Buzsáki, G. & Draguhn, A. Neuronal oscillations in cortical networks. Science 304, 1926–1929 (2004). 10. Fox, M. D. & Raichle, M. E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8, 700–711 (2007).

11. Balduzzi, D., Riedner, B. A. & Tononi, G. A BOLD window into brain waves. Proc Natl Acad Sci USA 105, 15641–15642 (2008).

12. Zuo, X.-N. et al. The oscillating brain: complex and reliable. NeuroImage 49, 1432–1445 (2010).

Figures

Figure 1. Statistical parametric map showing regions of significantly decreased SB5 fALFF during hyperglycemia compared to baseline euglycemia (p<0.01, corrected) in red-yellow (scale: paired t-test T-values 0-6.5) overlaid on an axial slice (z=+16) of the standard MNI-152 brain in grey scale. Blue crosshairs intersect at the left medial frontal gyrus.

Figure 2. Statistical parametric map showing regions of significantly decreased SB5 fALFF during hyperglycemia compared to euglycemic hyperinsulinemia (p<0.01, corrected) in red-yellow (scale: paired t-test T-values 0-8.5) overlaid on an axial slice (z=+2) of the standard MNI-152 brain in grey scale. Blue crosshairs intersect at the left putamen.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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