Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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362-05-001.
Acute neurometabolic responses in human brain following a single bout of vigorous exercise: a dynamic 1H-MRS/I study
Impact: This study suggests that vigorous exercise dynamically
alters brain energy metabolism and neurotransmission, highlighting increased
reliance upon creatine and lactate as energy substrates. Acute neurometabolic
shifts may underlie exercise-related benefits to cognitive function and
represent a target for neuroprotective interventions.
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362-05-002.
Preliminary ¹H-MRS Study of the Glia–Energy Metabolic Axis After Shunting and Prognosis in iNPH
Impact: Despite the limited sample size,
convergent patterns—CSF-driven inositol dynamics, ACC–CSO lactate coupling, and
small yet consistent prognostic signals—suggest that 1H-MRS may assist
biological stratification and prognosis of shunt response in iNPH, encouraging
early-phase, standardized, multi-site studies.
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362-05-003.
T1 relaxation times of 31P in human calf muscle at 5T: A comparison between endurance-trained and normally active individuals
Impact: Using 31P MRS at 5T, this study investigated
differences in T1 relaxation times and exercise responses in calf muscle
between long-term trained and normally active individuals, and demonstrated a
significant decrease (10.5%) in Pi T1 value in long-term trained volunteers.
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362-05-004.
Cystathionine-Targeted MRS Study: Cystathionine as an Imaging Biomarker for IDH-Mutant Gliomas With 1p/19q Codeletion
Impact: Cystathionine-targeted MRS enables precise preoperative diagnosis and metabolic characterization of IDH-mutant gliomas with 1p/19q codeletion. The brief scan time and user-friendly post-processing software could enhance clinical feasibility and promote widespread adoption.
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362-05-005.
Neurochemical and Transcriptomic Bases of Cortical Network Vulnerability in Parkinson’s Disease with Probable RBD
Impact: This study identifies probable REM sleep behavior
disorder as a distinct PD phenotype characterized by convergent structural, neurochemical, and molecular vulnerabilities, offering mechanistic insight into disease progression and enabling biomarker-driven patient stratification and targeted therapeutic strategies.
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362-05-006.
Metabolite changes in the SOD1 transgenic mouse model of ALS using magnetic resonance spectroscopy
Impact: The SOD1 gene is the most common mutation site in familial ALS. The NAA findings in mice differ from human studies, potentially because of low MRS sensitivity, but important changes related to energy metabolism, antioxidants and glutamate pathways are detectable.
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362-05-007.
Highly Localised Frontal Lobe Phosphorous MR Spectroscopy at 7 Tesla using a Dual-Tuned 1H/31P Surface Coil
Impact: A dual-tuned 1H/31P
surface coil delivered high-SNR frontal spectra at 7T while keeping SAR manageable,
paving the way for reliable metabolic measurements in prefrontal cortex for
studies of mitochondrial function, membrane turnover, and disease progression
monitoring.
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362-05-008.
Deep Phenotyping reflects multivariate association between sleep metrics and Glutamate - A 7T longitudinal investigation
Impact: Leveraging the enhanced spectral precision of ultra-high-field 7T MRS for characterizing glutamate, this study provides insights into the neurochemical basis of sleep in naturalistic settings, potentially advancing the understanding of sleep disorders and guiding improved therapeutic management.
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362-05-009.
Metabolic Milestones: Mapping Healthy Aging with ³¹P Spectroscopy
Impact: This study demonstrates that 31P-spectroscopy metabolites and derived ratios are reliable indicators of brain energy
metabolism, showing significant age dependence in both global and regional
measures, along with notable differences between male and female ratios across
populations.
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362-05-010.
Region and Cell-Type Specific Impacts of Subanesthetic Ketamine on Neurometabolic Activity in Mouse Brain
Impact: This
study revealed that sub-anesthetic ketamine selectively enhances synaptic activity
in the prefrontal cortex in a time-dependent manner, offering new insights into
the cell-type and region-specific neurometabolic mechanisms underlying its
rapid antidepressant effects and guiding future therapeutic strategies.
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362-05-011.
Neurometabolic Trends of Aging in the Mouse Hippocampus Revealed by 1H Magnetic Resonance Spectroscopy
Impact: Baseline hippocampal metabolite trajectories obtained from 1H MRS in normally aging mice establish essential reference patterns for detecting early, disease-related neurometabolic alterations in models of Alzheimer’s and other neurodegenerative disorders.
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362-05-012.
In vivo Detection of α-Glucose and Lactate in Cerebrospinal Fluid Using a Novel J-Edited MRS Sequence
Impact: This
study demonstrates a flexible 1H MRS protocol enabling selective in
vivo detection of α-Glc and Lac in CSF, providing a potential noninvasive
biomarker for early diagnosis and longitudinal monitoring of Metabolic and
neurodegenerative diseases.
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362-05-013.
Identification of Downfield Resonances in Human Brain Using 3T MRS:Comparison of Metabolite-Cycling and Narrowband Excitation
Impact: This study demonstrates that both metabolite-cycling and narrowband
excitation techniques successfully detect downfield NAD⁺, tryptophan,
and amide resonances, enabling translation of downfield MRS at 3T.
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362-05-014.
Tracking Neuro-muscular Metabolism with Magnetisation Transfer-based localised 31P ISIS at 3T
Impact: This study demonstrates that MT-ISIS ³¹P-MRS enables precise, non-invasive assessment of neuromuscular energy metabolism. Detecting reduced ATP synthesis following exercise-induced muscle damage, advances our understanding of metabolic dysfunction in muscle injury and neuromuscular disorders, informing future diagnostic and therapeutic strategies.
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362-05-015.
Characterization of metabolic profiles of low- and high-grade gliomas by 1H FID MRSI at 7T
Impact: This
study examines correlations between proton MRSI-derived metabolite concentrations
in glioblastoma using ultra-high-field MRI/MRSI. Such relationships are
difficult to assess at clinical field strengths, and their characterization may
enhance understanding of tumor metabolism and improve glioblastoma biomarker
development.
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© 2026 International Society for Magnetic Resonance in Medicine