Dynamic changes in white matter microstructure in anorexia nervosa: findings from a longitudinal study

Schwanenflug, Nina von; Müller, Dirk; King, Joseph A.; Ritschel, Franziska; Bernardoni, Fabio; Mohammadi, Siawoosh; Geisler, Daniel; Roessner, Veit; Biemann, Ronald; Marxen, Michael; Ehrlich, Stefan

doi:10.1017/s003329171800212x

Cited by 32 publications

(64 citation statements)

References 78 publications

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“…Another speculative explanation for the absence of group differences in brain function in the current weight-recovered/healthy controls sample might be that potential scar effects were not detectable in our relatively young sample with a relatively short duration of illness (Table 1) or normalization of brain structure following weight recovery. 57 Other possibilities we cannot rule out may be sampling error or insufficient statistical power. Although sufficient power can be reasonably assumed on the basis of previous findings of group differences in smaller samples (including our own) with the same task, 11,18,19 the absence of evidence for group differences between weight-recovered participants with anorexia and healthy controls should not be misinterpreted as proof that value-based decision-making is necessarily "normal" following long-term weight recovery.…”

Section: Limitationsmentioning

confidence: 99%

Intact value-based decision-making during intertemporal choice in women with remitted anorexia nervosa? An fMRI study

King

Bernardoni

Geisler

et al. 2020

jpn

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Section: Limitationsmentioning

confidence: 99%

Intact value-based decision-making during intertemporal choice in women with remitted anorexia nervosa? An fMRI study

King

Bernardoni

Geisler

et al. 2020

jpn

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“…Out of 24 studies derived from the systematic review, only the studies conducted among current AN patients were considered for the analysis. Only 10 articles reported a significant FA alteration in AN patients and were included in the ALE-analysis, in accordance with the ALEanalysis standards (Eickhoff et al, 2009;Frank et al, 2013;Frieling et al, 2012;Gaudio et al, 2017;Hu et al, 2017;Kazlouski et al, 2011;Nagahara et al, 2014;Phillipou, Carruthers, et al, 2018;von Schwanenflug et al, 2019;Via et al, 2014;Vogel et al, 2016). Five studies were excluded because they did not report whole brain cluster coordinates of increased or decreased FA (Cha et al, 2016;Frank et al, 2016;Miles et al, 2018;Pfuhl et al, 2016;Travis et al, 2015).…”

Section: Ale-analysismentioning

confidence: 99%

Anorexia nervosa and diffusion weighted imaging: An open methodological question raised by a systematic review and a fractional anisotropy anatomical likelihood estimation meta‐analysis

Meneguzzo

Collantoni

Solmi

et al. 2019

Intl J Eating Disorders

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Background Anorexia nervosa (AN) is characterized by white matter abnormalities in neuroimaging studies. Fractional anisotropy (FA) is a diffusion tensor imaging (DTI) index that is considered an instrument for the evaluation of white matter alterations. However, the literature has recently pointed out the role of the partial volume effect (PVE) as a confounding factor for the identification of juxtaposed tissues. Our goal was to review the DTI literature in AN and evaluate possible confounding factors linked to the reported results. Method A systematic review of the literature was conducted to identify Diffusion Tensor Imaging studies of individuals with AN and, subsequently, an anatomical likelihood estimation (ALE) meta‐analysis was performed on studies published before March 18, 2019. Results Twenty‐four studies (AN = 517, controls = 542) were included in the qualitative systematic review of the literature. Ten published studies underwent the ALE‐analysis (AN = 210, controls = 229), plus data from an unpublished cohort (AN = 38, controls = 38). Two clusters of decreased FA were identified, namely in the left corona radiata, and in the left thalamus. Only one article took the PVE correction analysis into account. Conclusions The alterations identified must be considered within the limits of a possible methodological bias regarding PVE and free water and re‐analysis of the data may be recommended. The preliminary data showed that the alteration of white matter pathways between the limbic structures and brain cortex may be linked to the processing of somatosensory information that could play a key role in the psychopathology of the disorder.

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“…Unfortunately, their results are not consistent. Most studies report lower FA in widespread WM regions, including the corpus callosum (CC) (Frieling et al, 2012;Frank et al, 2013;Shott et al, 2016;Gaudio et al, 2017;Phillipou et al, 2018;von Schwanenflug et al, 2019), fornix fibers (Kazlouski et al, 2011;Frank et al, 2013;Gaudio et al, 2017), thalamus (Frieling et al, 2012;Hu et al, 2017), cingulum (Kazlouski et al, 2011;Frank et al, 2013), posterior thalamic radiation (PTR) (Phillipou et al, 2018), superior longitudinal fasciculus (SLF) (Via et al, 2014), fronto-occipital fasciculus (FOF) (Kazlouski et al, 2011;Via et al, 2014), corona radiation (Shott et al, 2016;Phillipou et al, 2018) and cerebellum (Nagahara et al, 2014;Shott et al, 2016). Five studies, however, observed no significant FA differences between AN patients and HC (Yau et al, 2013;Cha et al, 2016;Pfuhl et al, 2016;Bang et al, 2018;Olivo and Swenne, 2019).…”

Section: Introductionmentioning

confidence: 99%

White Matter Abnormalities in Anorexia Nervosa: Psychoradiologic Evidence From Meta-Analysis of Diffusion Tensor Imaging Studies Using Tract Based Spatial Statistics

Zhang

Wang

et al. 2020

Front. Neurosci.

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Background: Anorexia nervosa (AN) is a debilitating illness whose neural basis remains unclear. Studies using tract-based spatial statistics (TBSS) with diffusion tensor imaging (DTI) have demonstrated differences in white matter (WM) microarchitecture in AN, but the findings are inconclusive and controversial. Objectives: To identify the most consistent WM abnormalities among previous TBSS studies of differences in WM microarchitecture in AN. Methods: By systematically searching online databases, a total of 11 datasets were identified, including 245 patients with AN and 246 healthy controls (HC). We used Seed-based d Mapping to analyze fractional anisotropy (FA) differences between AN patients and HC, and performed meta-regression analysis to explore the effects of clinical characteristics on WM abnormalities in AN. Results: The pooled results of all AN patients showed robustly lower FA in the corpus callosum (CC) and the cingulum compared to HC. These two regions preserved significance in the sensitivity analysis as well as in all subgroup analyses. Fiber tracking showed that the WM tracts primarily involved were the body of the CC and the cingulum bundle. Meta-regression analysis revealed that the body mass index and mean age were not linearly correlated with the lower FA. Conclusions: The most consistent WM microstructural differences in AN were in the interhemispheric connections and limbic association fibers. These common "targets" advance our understanding of the complex neural mechanisms underlying the puzzling symptoms of AN, and may help in developing early treatment approaches.

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Dynamic changes in white matter microstructure in anorexia nervosa: findings from a longitudinal study

Cited by 32 publications

References 78 publications

Intact value-based decision-making during intertemporal choice in women with remitted anorexia nervosa? An fMRI study

Intact value-based decision-making during intertemporal choice in women with remitted anorexia nervosa? An fMRI study

Anorexia nervosa and diffusion weighted imaging: An open methodological question raised by a systematic review and a fractional anisotropy anatomical likelihood estimation meta‐analysis

White Matter Abnormalities in Anorexia Nervosa: Psychoradiologic Evidence From Meta-Analysis of Diffusion Tensor Imaging Studies Using Tract Based Spatial Statistics

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