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Research Article

Cerebral blood flow and structural connectivity after working memory or physical training in paediatric cancer survivors – Exploratory findings

, , , , , , , & ORCID Icon show all
Received 01 Aug 2023, Accepted 10 May 2024, Published online: 29 May 2024

Figures & data

Figure 1. Design of the Brainfit study.

Figure 1 shows a schematic representation of the Brainfit study design. The study was initiated with a baseline assessment (T1) where cognitive performance was assessed and MRI scans were conducted. Following the baseline assessment, patients were randomized into either one of the intervention groups (Group A: Cogmed and Group B: Exergame) or the waiting control group (Group C). There were two additional assessments, identical to the baseline, one immediately after an eight-week training or waiting period (T2) and again at a three-month follow-up (T3). The three assessments and the training or waiting period are visually arranged in chronological order from left to right.
Figure 1. Design of the Brainfit study.

Table 1. Demographics, medical characteristics, and training data at baseline (T1).

Figure 2. Short- and long-term effects depicted as a series of boxplots (with interquartile range and minimum and maximum value) in (a) CBF within the working memory ROI and (b) structural connectivity (number of tracts [k]) presented for the three groups. The lines connect the mean values. Depending on comparison (T1–T2, T1–T3), sample sizes for cerebral blood flow analyses differed. Waiting control group: n = 8 to 10; Cogmed group: n = 7 to 9; Exergame group: n = 7 to 10; see Table S2. Depending on comparison (T1–T2, T1–T3), sample sizes for structural connectivity analyses differed. Waiting control group: n = 10 to 13; Cogmed group: n = 8 to 10; Exergame group: n = 7 to 10; see Table S3. *p < 0.05.

Figure 2. Short- and long-term effects depicted as a series of boxplots (with interquartile range and minimum and maximum value) in (a) CBF within the working memory ROI and (b) structural connectivity (number of tracts [k]) presented for the three groups. The lines connect the mean values. Depending on comparison (T1–T2, T1–T3), sample sizes for cerebral blood flow analyses differed. Waiting control group: n = 8 to 10; Cogmed group: n = 7 to 9; Exergame group: n = 7 to 10; see Table S2. Depending on comparison (T1–T2, T1–T3), sample sizes for structural connectivity analyses differed. Waiting control group: n = 10 to 13; Cogmed group: n = 8 to 10; Exergame group: n = 7 to 10; see Table S3. *p < 0.05.

Figure 3. (a) Correlation between short-term changes in CBF within the working memory ROI and short-term changes in cognitive flexibility (n = 9) and (b) Correlation between long-term changes in structural connectivity and long-term changes in visuospatial working memory (n = 8). The solid line represents the linear regression fit. The shaded area around the line indicates the 95% confidence interval.

Figure 3. (a) Correlation between short-term changes in CBF within the working memory ROI and short-term changes in cognitive flexibility (n = 9) and (b) Correlation between long-term changes in structural connectivity and long-term changes in visuospatial working memory (n = 8). The solid line represents the linear regression fit. The shaded area around the line indicates the 95% confidence interval.
Supplemental material

Schuerch_Supplement_NeuropsychRehab_updated.docx

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Data availability statement

The data that support the findings of this study are available from the corresponding author, [RE], upon reasonable request.