Protecting the Aging Brain Dataset

A 7T fMRI and MRS dataset with resting state and task based data, imaged on various age cohorts, to identify the affect of aging on network connectivity.

• Dataset S1: S1.0_Timecourse_3T_MRS_N8 (3T MRS Time-Course Study, N=8; µage=27 +/–5 years; 3 female) Using a within-participant time-locked design, as well as weight and calorie-matched dosing as per LCNeuro-PAG 3 (described below), we measured brain glucose and β-Hydroxybutyrate at baseline, and then every five minutes for 90 minutes after administering each bolus. All conditions conducted at resting-state.

  • data will be made fully available upon request.

• Dataset S2: S2.0_Diet_7T_FMRI_N12 (7T fMRI Diet Study N=12, µage=28+/−7 years; 4 female) We scanned participants under three conditions: (1) Standard diet: following their standard diet, without fasting; (2) Fasting: following their standard diet, with an overnight (12 hour) fast; and (3) Ketogenic Diet: following a ketogenic (high-fat, moderate-protein, low-carbohydrate (<50g/day)) diet for one week, by which point all participants were in ketosis (>0.6 mmol/L ketone blood concentration). All conditions conducted at resting-state.

  • access link: https://openneuro.org/datasets/ds003437

• Dataset S3: S3.0_Bolus_7T_FMRI_N30 (7T fMRI Bolus Study, N=30, µage=29+/−8 years; 18 female). We scanned an independent cohort of participants under three conditions: (1) Fasting: following their standard diet, with an overnight fast; (2) Glucose Bolus: breaking the fast with a glucose drink (Glucose Tolerance Test Beverages, Fisher Scientific, Inc.; Hampton NH); and (3) D-βHb Ketone Ester Bolus: breaking the fast with a ketone drink (D-β-hydroxybutyrate ketone ester; HVMN, San Francisco CA). The D-βHb ketone ester was weight-dosed for each participant at 395mg/kg, and calorically matched (µcal=125+/−19) between D-βHb ketone ester (µKETdose=26.65g+/−3.97g) and glucose (µGLUdose=31.33g+/−4.57g). Prior to neuroimaging, we acquired fasting plasma glucose and insulin measures, for calculation of insulin resistance using HbA1c (µHbA1c=5.14%+/−0.32% [min/max=4.6-5.8%; insulin resistant >5.6%]) and HOMA-IR (µHOMA-IR=1.41+/−0.59 [min/max=0.41-2.87; insulin resistant >2.0]). HOMA-IR was calculated as: fasting insulin (µU/mL) x fasting glucose (mg/dL) /405(31). All conditions conducted at resting-state.

  • access link: https://openneuro.org/datasets/ds003453

• Dataset S4: S4.0_Case_7T_FMRI_N1 (7T fMRI Case Study, N=1, female, age 47, HbA1c=5.8%). For the case study, the baseline condition consisted of a standard diet supplemented 30 minutes prior to the scan with a 75g glucose bolus—a standardized challenge dose used clinically for the oral glucose tolerance test. In a time-locked within-subjects design, the participant was scanned twice: on one day with a weight-dosed (395mg/kg) 25g D-βHb ketone ester bolus and on another day without it. Each of these two conditions was conducted at resting-state and while performing spatial navigation and motor tasks.

  • access link: https://openneuro.org/datasets/ds003455

For more information and citation, see:

• Mujica-Parodi LR, Amgalan A, Sultan SF, Antal B, Sun X, Skiena S, Lithen A, Adra N, Ratai EM, Weistuch C, Govindarajan ST, Strey HH, Dill KA, Stufflebeam SM, Veech RL, Clarke K. Diet modulates brain network stability, a biomarker for brain aging, in young adults. Proc Natl Acad Sci U S A. 2020 Mar 3. pii: 201913042. doi: 10.1073/pnas.1913042117. PMID: 32127481