Type 2 diabetes is related to neurochemical alterations in the default mode network: An exploratory cross-sectional magnetic resonance spectroscopy study

BACKGROUND: H-MRS) to help elucidate the link between altered glucose metabolism and neurodegeneration. METHOD: H-MRS using a novel sequence HERCULES, allowing the reliable quantification of small and overlapping signals, adding to the number of quantifiable metabolites. RESULTS: Significant neurometabolic differences were observed in three brain regions. Namely, N-acetylaspartate (tNAA) and total choline (tCho) in the medial prefrontal cortex, total creatine (tCr) in the posterior cingulate cortex, and glutathione (GSH) in the hippocampus were lower in the T2D group than the control group. Glycated hemoglobin was inversely correlated with prefrontal tCho, tNAA, and tCr levels, as well as posterior cingulate tCr. In contrast, glycated hemoglobin was positively correlated with prefrontal concentrations of glutamate, along with left sensorimotor cortex glutamate, glutamine, myo-inositol, and lactate. CONCLUSION: The region-specific metabolic deficits in tNAA, tCho, tCr, and GSH observed in the default mode network add to our understanding of diabetic encephalopathy. These exploratory findings might support a deficit model of brain energy metabolism and raise clinically relevant research questions about the neuro-energetic underpinnings of cognitive impairment in T2DM.

Authors

Institutions

Publication Details

Journal
NeuroImage
Published
2026-04-22
DOI
https://doi.org/10.1016/j.neuroimage.2026.121949
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Type 2 diabetes is related to neurochemical alterations in the default mode network: An exploratory cross-sectional magnetic resonance spectroscopy study

Melina Hehl, Kenneth Verboven, Dominique Hansen, Jitske Vandersmissen et al.
NeuroImage
Advanced MRI Techniques and Applications
article

Type 2 diabetes is related to neurochemical alterations in the default mode network: An exploratory cross-sectional magnetic resonance spectroscopy study

Melina Hehl, Kenneth Verboven, Dominique Hansen, Jitske Vandersmissen, Ilse Dewachter, Georg Oeltzschner, Kia Puustinen, Koen Cuypers, Helge J. Zöllner, Tin Gojevic
article en

Abstract

BACKGROUND: H-MRS) to help elucidate the link between altered glucose metabolism and neurodegeneration. METHOD: H-MRS using a novel sequence HERCULES, allowing the reliable quantification of small and overlapping signals, adding to the number of quantifiable metabolites. RESULTS: Significant neurometabolic differences were observed in three brain regions. Namely, N-acetylaspartate (tNAA) and total choline (tCho) in the medial prefrontal cortex, total creatine (tCr) in the posterior cingulate cortex, and glutathione (GSH) in the hippocampus were lower in the T2D group than the control group. Glycated hemoglobin was inversely correlated with prefrontal tCho, tNAA, and tCr levels, as well as posterior cingulate tCr. In contrast, glycated hemoglobin was positively correlated with prefrontal concentrations of glutamate, along with left sensorimotor cortex glutamate, glutamine, myo-inositol, and lactate. CONCLUSION: The region-specific metabolic deficits in tNAA, tCho, tCr, and GSH observed in the default mode network add to our understanding of diabetic encephalopathy. These exploratory findings might support a deficit model of brain energy metabolism and raise clinically relevant research questions about the neuro-energetic underpinnings of cognitive impairment in T2DM.

NeuroImageVol. 333
Johns Hopkins University (US), Hasselt University (BE), KU Leuven (BE)
Foundation for the National Institutes of Health, Fonds Wetenschappelijk Onderzoek, KU Leuven, Onderzoeksraad, KU Leuven, Universiteit Hasselt, Vlaamse regering, National Institutes of Health, Bijzonder Onderzoeksfonds UGent
Good health and well-being
Openalex Percentile: Top 20%
Advanced MRI Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.