Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning.
Sevim CengizDilek Betul ArslanAni KicikEmel ErdogduMuhammed YildirimGokce Hale HatayZeynep TufekciogluAziz Müfit UluğBasar BilgicHasmet HanagasiTamer DemiralpHakan I GürvitEsin Ozturk-IsikPublished in: Magma (New York, N.Y.) (2022)
H-MRSI revealed metabolic changes in the default mode, ventral attention/salience, and sensorimotor networks of PD-MCI patients, which could be summarized mainly as 'posterior cortical metabolic changes' related with cognitive dysfunction.
Keyphrases
- mild cognitive impairment
- magnetic resonance
- functional connectivity
- cognitive decline
- machine learning
- end stage renal disease
- resting state
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- spinal cord
- artificial intelligence
- peritoneal dialysis
- deep brain stimulation
- single cell
- big data
- photodynamic therapy
- spinal cord injury
- contrast enhanced
- patient reported outcomes
- molecular dynamics simulations
- fluorescence imaging
- drug induced
- bioinformatics analysis