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. 2021 Dec 23;23(4):773–805. doi: 10.1007/s11154-021-09701-w

Table 1.

Overview on existing lifestyle intervention studies. Studies are subdivided by neuroimaging technique. Studies may be listed more than once if more than one neuroimaging technique is applied. In order to ease comprehensibility of this and the two other tables, we occasionally simplified the presented study characteristics. In particular, if a study comprised the prognostic and associative modelling approach, only one was mentioned (in this case the study would have been classified as “Prognostic” in the column “Modelling: Outcome” as we considered this modelling approach more meaningful). Similarly, if a study comprised several outcome markers, only one was mentioned in the column “Modelling: Outcome”. In case changes in bodyweight or weight loss respectively was modelled in addition to other outcome markers, “bodyweight” was mentioned in the column “Modelling: Outcome” as we considered this outcome most relevant. Consistently, “Predictor” and “Significant prediction results” only list those predictors and results that relate to the parameters reported in column “Modelling: Outcome”. The codes for modelling parameters and outcomes in “Significant prediction results” (such as “CR_fMRI_T0 → OUT_T3” or “PET_T0 → OUT_T3”) report the predictor and the time point(s) the predictor was derived of on the left sign of the arrow, on the right side the time points for the outcome marker are reported. Despite slight potential inaccuracies resulting from this procedure, a period of four weeks was converted to one month in these time point codes. In column “Experimental design “, these time points are reported on a (higher) week-level accuracy. Consequently, for example, the code “CR_fMRI_T0 → OUT_T3” would refer to modelling an outcome marker measured after three months of treatment based on a food CR fMRI parameter measured immediately before treatment onset. Finally, the number of time points listed after each “T” in these codes is important: if only a single time point is listed after a “T” (such as in “OUT_T0” or “OUT_T0_T3”) than parameter raw values measured at the specific time point(s) were modelled with one model – in this case for the baseline time point alone (“OUT_T0”) or the baseline time point and a time point after 3 months (“OUT_T0_T3”). If, however, a “T” is followed by two time points (such as in “OUT_T0_3_T3_9”) than temporal difference markers for the respective parameter were modelled with one model – in this case differences between baseline and after 3 months, and after 3 vs. 9 months. Thus, for example, the code „CR_fMRI_T0_T3_T15_T27 → OUT_T0_3_T3_15_T15_27_T27_39 “ refers to one model were temporal differences in an outcome marker between time points T0 & T3, T3 & T15, T15 & T27, and finally T27 & T39 were modelled on CR fMRI parameters sampled at T0, T3, T15, T27. Finally, in addition to the studies presented in the table, we want to mention an LI study of Hege et al. [195] who used magnetoencephalographic data to prognose future WL in 33 overweight or obese participants. They found that higher activity in superior temporal gyrus, fusiform gyrus, hippocampus, inferior temporal gyrus, insula, Heschl gyrus, fusiform gyrus, insula went along with successful weight loss, lower activity in middle occipital and inferior frontal gyrus went along with successful weight loss. We mention this study separately, as the measurement technique (magnetencephalography) and the task applied (1-back memory task) deviate strongly from the other studies presented in this work

Study Modelling: Outcome #Participants (per group) Experimental design Predictor Pred. meth Significant prediction results
Task-fMRI
Schur et al. [173]

Prognostic:

Bodyweight

37 OB (WL: Family-based behavior treatment) T0 (pre-WL), T6 (after 6 months WL), T12 (after 6 months FUP 1 + WL), T18 (after 6 months FUP 2 + WL + FUP1) Voxel CR activity OLS CR_fMRI_T0 → OUT_T0_6: Positive association between WL and the reduction in CR activity to high-calorie food cues averaged across medial orbitofrontal cortex, substantia nigra/ventral tegmental area, amygdalae, dorsal and ventral striatum, and insula from before to after consuming a standardized meal
Hermann et al. [174]

Prognostic:

Bodyweight

29 OB (WL: 29 caloric restriction, nutritional counselling) T0 (pre-WL), T1 (after 1-month WL), T6 (after 6 months WL) Voxel CR activity OLS CR_fMRI_T0_1 → OUT_T0_6: Positive association between WL and CR activity reductions in posterior part of the dorsal and ventral putamen, right pallidum, and left caudate
Maurer et al. [163]

Prognostic:

Bodyweight

23 OW/OB (WL: 19 caloric restriction; WMT: 11 nutritional counselling, PE, Relaxation, 12 ad lib) T0 (pre-WL), T3 (after 12 weeks WL), T15 (after 12 month WMT + WL), T27 (after 12 months FUP + WL + WM) Voxel CR activity (modulated by GLP1) LMM CR_fMRI × GLP1_T0_T3_T15 → OUT_T0_3_T3_15_T15_27: Positive association of body weight variations with the interaction of endogenous Glukagon-Like-Peptid-1 levels and CR activity in dlPFC
Neseliler et al. [179]

Prognostic:

Bodyweight

24 OW/OB (WL: 24 caloric restriction) T0 (pre-WL), T1 (after 1-month WL), T3 (after 3 months WL) CR activity averaged across selected voxels OLS CR_fMRI_T0_1 → OUT_T1_3: Positive association between WL and the average CR activity of regions including control areas (dlPFC, inferior frontal gyrus, inferior parietal lobule)
Szabo-Reed et al. [169]

Prognostic:

Bodyweight

75 OW/OB (WL: 75 caloric restriction, behavioral modification, physical activity) T0 (pre-WL), T3 (after 3 months WL) Voxel CR activity SEM CR_fMRI_T0 → OUT_T0_3: Positive effect of right middle frontal gyrus CR activity on WL mediated via program attendance (positive effect of right middle frontal gyrus (i.e., dlPFC) CR activity on attendance; positive effect of attendance on WL)
Weygandt et al. [18]

Prognostic:

Bodyweight

30 OW/OB (WL: 22 caloric restriction; WM: 12 nutritional counselling, PE, relaxation, 18 ad lib) T0 (pre-WL), T3 (after 12 weeks WL), T15 (after 12-month WM + WL), T27 (after 12 months FUP1 + WL + WMT), T39 (after 12 months FUP2 + WL + WMT + FUP1) Principal components of voxel CR and DD activity LMM

CR_fMRI_T0_T3_T15_T27 → OUT_T0_3_ T3_15_T15_27_T27_39: Moderate negative association between WL and CR network activity (esp. left hippocampus)

DD_fMRI_T0_T3_T15_T27 → OUT_T0_3_ T3_15_T15_27_T27_39: Moderate positive association between WL and DD network activity (esp. right inferior parietal gyrus)

CR × DD_fMRI_T0_T3_T15_T27 → OUT_T0_3_ T3_15_T15_27_T27_39: Strong positive association between WL and interaction of CR network activity (esp. visual areas) with DD network activity (esp. right insula)

Paolini et al. [101]

Prognostic:

Bodyweight

56 OW/OB (WL & WMT: caloric restriction, caloric restriction + aerobic exercise, caloric restriction + resistance exercise; no group sizes provided) T0 (pre-WL), T6 (after 6 months WL) Global efficiency derived from CR FC OLS CR_fMRI_T0 → OUT_T0_6: Positive association between WL and global efficiency of a network comprising primarily reward areas
Weygandt et al. [106]

Prognostic:

Bodyweight

23 OW/OB (WMT: 10 nutritional counselling, PE, Relaxation, 13 ad lib) T0 (post-WL), T12 (post 12-month WMT) Voxel DD activity OLS DD_fMRI_T0 → OUT_T0_12: Positive association between WL and superior frontal gyrus DD activity
Weygandt et al. [97]

Prognostic:

Bodyweight

16 OW/OB (WL: 16 caloric restriction) T0 (pre-WL), T3 (after 12 weeks WL) Voxel DD activity; Seed-to-voxel DD FC OLS

DD_fMRI_T0 → OUT_T0_3: Positive association between WL and DD activity in vmPFC, dmPFC, and dlPFC; negative association between WL and DD activity in anterior insula and dmPFC;

DD_fMRI_T0 → OUT_T0_3: Positive association between WL and DD FC of vmPFC with dlPFC and dmPFC. Negative association between WL and DD FC of vmPFC with dorsal striatum

Murdaugh et al. [175]

Prognostic:

Bodyweight

25 OW/OB (WL: 25 educational, motivational, and behavioral components) T0 (pre-WL), T3 (after 12 weeks WL), T12 (after 9 months FUP + WL) Voxel CR activity OLS

CR_fMRI_T0 → OUT_T0_3: Negative association between WL and activity in reward areas (ncl. accumbens, ACC, frontal operculum, insula), visual processing areas, areas mediating attentional processes, middle temporal gyrus, cerebellum;

CR_fMRI_T3 → OUT_T3_12: Negative association WL and CR activity in reward areas (ventral tegmental area, putamen, insula, and hippocampus), visual processing and attention areas;

CR_fMRI_T0_3 → OUT_T3_12: Positive association between WL and reduction in CR activity in insula, inferior frontal gyrus, thalamus

Drummen et al. [180]

Associations:

Bodyweight

27 OW/OB (WL: caloric restriction; WMT: 12 moderate protein, 15 high protein dietary guidelines) T0 (pre-WL), T2 (after 8 weeks WL), T26 (after 24-month WMT + WL) Voxel CR activity OLS CR_fMRI_T2_26 → OUT_T2_26: Negative association between changes in body weight during weight maintenance and changes in neural food CR during weight maintenance in left and right rolandic operculum, right inferior frontal gyrus, and left middle frontal gyrus (i.e., dlPFC)
Resting-state fMRI
Levakov et al. [129]

Prognostic:

Bodyweight

92 OW (WL: 29 PE, 29 PE + Mediterranean diet, 34 PE + polyphenol enriched Mediterranean diet) T0 (pre-WL), T6 (after 6 months WL) RS FC between atlas regions OLS RS_fMRI_T0 → OUT_T0_6: The authors detected a network primarily composed of reward regions for which the FC between more regions was related to WL on a suprathreshold level than was expectable by chance
Mokhtari et al. [132]

Prognostic:

Bodyweight

52 OW/OB (WL & WM: caloric restriction, caloric restriction + aerobic exercise, caloric restriction + resistance exercise; no group sizes provided) T0 (pre-WL), T18 (after 12-month WM + 6 months WL) Sliding window RS FC between atlas regions

SVC

(CV)

RS_fMRI_T0 → OUT_T0_18: Accuracy for classifying successful vs. non-successful WL based on sliding window RS FC of 97%
Contreras-Rodríguez et al. [125] Prognostic: Bodyweight 42 OW/OB (WL: 30-min diet counseling session) T0 (pre-WL), T3 (after 12 weeks WL) Seed-to-voxel RS FC OLS RS_fMRI_T0 → OUT_T0_3: Negative Association between WL and RS FC between dorsal caudate and somatosensory cortex
McFadden et al. [124]

Associations:

Bodyweight

11 OW/OB (WL: PE) T0 (pre-WL), T6 (after 6 months WL) Voxel-correlates of ICs extracted from RS fMRI OLS RS_fMRI_T0_6 → OUT_T0_6: Positive association between exercise-induced reduction in fat mass and exercise-induced reduction of default-mode network RS FC in precuneus
Structural neuroimaging
Honea et al. [140]

Prognostic:

Bodyweight

72 OB (WL: 72 cal restriction, physical exercise, behavioral modification) T0 (pre-WL), T3 (after 12 weeks WL) Voxel GM volume; voxel WM volume OLS

VBM_sMRI_T0 → OUT_T0_3: Positive association between WL and GM volume in right parahippocampal gyrus and right OFC;

VBM_sMRI_T0 → OUT_T0_3: Positive association between WL and WM volume close to left OFC/inferior frontal gyrus and right fusiform gyrus

Mokhtari et al. [141]

Prognostic:

Bodyweight

52 OW/OB (WL & WM: 14 caloric restriction, 15 caloric restriction + aerobic exercise, 23 caloric restriction + resistance exercise) T0 (pre-WL), T18 (after 12 months WMT + WL) Voxel GM volume; voxel WM volume

SVC

(CV)

VBM_sMRI_T0 → OUT_T0_18: Accuracy for classifying successful vs. non-successful WL based on: voxel-wise GM volume of 77% / WM volume 74% /GM & WM combined 78%
Best et al. [138]

Prognostic:

Program adherence

Data set 1, 83 average waist-to-hip-ratio: 0.83 (WL: 33 once-weekly resistance training, 26 twice-weekly resistance training, 25 twice-weekly balance-and-tone training);

Data set 2, 39 average waist-to-hip-ratio: 0.86 (WL: 13 resistance training, 14 aerobic training, 12 balance-and-tone training)

T0 (pre-WL) and T13 (Dataset 1: after 52 weeks WL) or T6 (Dataset 2: after 26 weeks WL) Volume of atlas GM regions LMMr sMRI_sMRI_T0 → OUT_T0_13 and sMRI_T0 → OUT_T0_6.5: Across both data sets positive association between program attendance and GM volume of lateral OFC and middle frontal gyrus (i.e., dlPFC)
Gujral et al. [139]

Prognostic:

Program adherence

159 (no group sizes and weight-related parameters provided): Moderate-intensity aerobic walking, nonaerobic stretching and toning condition T0 (pre-PE program), T12 (after 12 months PE program) Voxel GM volume; voxel FA OLS

VBM_sMRI_T0 → OUT_T0_12: Positive association between program adherence and GM volume of (primarily) prefrontal, somatosensory, motor, temporal, and parietal regions;

DTI_sMRI_T0 → OUT_T0_12: Positive association between program adherence and tract FA of (primarily) anterior thalamic radiation, forceps minor, superior longitudinal fasciculus, and body of the corpus callosum

Mueller et al. [143] Associations: Bodyweight 16 OW/OB (WL: 60-min of supervised physical training twice a week) T0 (pre-WL), T3 (after 3 months WL) Voxel GM volume OLS VBM_sMRI_T0_3 → OUT_T0_3: Positive association between BMI reduction and GM volume in right insula and in left cerebellar regions

ACC anterior cingulate cortex, ad lib ad libitum, BMI body mass index, CR cue reactivity, CV cross validation, DD delay discounting, dlPFC dorsolateral prefrontal cortex, dmPFC dorsomedial prefrontal cortex, FA fractional anisotropy, FC functional connectivity, fMRI functional magnetic resonance imaging, FUP follow-up, GLP1 Glucagon-like Peptide 1, GM grey matter, LMM(r) (robust) linear mixed model regression, ncl nucleus, OB obese, OFC orbitofrontal cortex, OLS ordinary least square regression, OUT outcome marker, OW overweight, PE physical exercise, PFC prefrontal cortex, Pred. meth computational prediction method, RS resting-state, SEM structural equation modelling, sMRI structural magnetic resonance imaging, SVC support vector classification, VBM voxel based morphometry, vmPFC ventromedial prefrontal cortex, WL weight loss, WM white matter, WMT weight maintenance