ABSTRACT
Objective
Anorexia nervosa (AN) is a severe eating disorder associated with extreme weight loss, hyperactivity, and amenorrhea. Neuroimaging studies revealed brain atrophy and disruption of white matter integrity in the corpus callosum (CC) of patients with AN. However, the underlying pathophysiological mechanisms remain unclear. Emerging evidence indicates that starvation induces changes in mitochondrial metabolism and dynamics. We hypothesize that disturbances in white matter integrity arise from modifications in oligodendrocytes, associated with changes in the morphology of myelinated fibers and mitochondrial structure.
Method
The starvation‐induced hyperactivity (SIH) model was used, in which mice received a restricted daily amount of food in combination with free access to a running wheel. A body weight loss of 25% was maintained over 2 weeks, followed by a 3‐week refeeding phase. Oligodendrocyte density and staining intensity of oligodendrocyte lineage transcription factor 2 (OLIG2) in the CC were analyzed using immunohistochemical staining. Morphometric investigation of myelinated fibers and mitochondria was conducted by transmission electron microscopy (TEM) analysis.
Results
Starvation led to decreased oligodendrocyte density and reduced anti‐OLIG2 staining intensity in the CC, which was reversible following refeeding. Additionally, starvation induced a decrease in axonal caliber and an increase in mitochondrial density in the white matter, accompanied by a reduction of mitochondrial area.
Discussion
The findings suggest that oligodendroglial and axonal alterations, alongside disrupted mitochondrial dynamics, impair structural integrity in the white matter and contribute to the pathophysiology of AN.
Keywords: anorexia nervosa, axons, chronic starvation, glial cells, mitochondria, myelinated nerve fibers, oligodendrocytes, starvation‐induced hyperactivity, white matter
Summary
Anorexia nervosa (AN) is associated with disrupted white matter integrity as well as alterations of mitochondrial metabolism. However, the underlying pathophysiological mechanisms remain poorly understood.
This study utilized a murine starvation model mimicking AN to investigate the consequences of starvation on oligodendrocytes, myelinated fibers, and mitochondria in the brain.
The findings revealed that starvation induces a decrease in oligodendrocyte density as well as axonal caliber and an increase in mitochondrial density, accompanied by a reduction in mitochondrial area, indicating that white matter and mitochondria dysfunction play a role in the pathology of AN.
1. Introduction
Anorexia nervosa (AN) is a severe psychiatric and eating disorder characterized by body weight loss, hyperactivity, and amenorrhea (Herpertz‐Dahlmann 2015; Moskowitz and Weiselberg 2017). The lifetime prevalence of AN is approximately 4%, with adolescent females being predominantly affected (Silén and Keski‐Rahkonen 2022; van Eeden et al. 2021). Due to limited treatment options, patients with AN exhibited poor remission rates of 52%, coupled with a relapse rate of 26%, and one of the highest mortality rates among all psychiatric disorders (Chesney et al. 2014; Miskovic‐Wheatley et al. 2023). Furthermore, magnetic resonance imaging studies demonstrated reductions in the brain volume of gray and white matter, which is associated with cognitive impairments, such as deficits in logical reasoning (Castro‐Fornieles et al. 2010; McCormick et al. 2008; Seitz et al. 2018; Walton et al. 2022). Additionally, diffusion tensor imaging studies have indicated disrupted integrity, particularly in the corpus callosum (CC), suggesting altered axonal and myelin sheaths morphology (Barona et al. 2019; Griffiths et al. 2021; Laczkovics et al. 2022; Miles et al. 2020; Nickel et al. 2019; von Schwanenflug et al. 2019; Travis et al. 2015; Zhang et al. 2020). Consistent with these findings, decreased fiber bundle volumes in the CC and hints for reduced myelin content in patients with AN have been observed (de La Cruz et al. 2023; Maier et al. 2022; Murray et al. 2023; Pappaianni et al. 2022; Travis et al. 2015).
Only a few studies have investigated post‐mortem brain tissue in patients with AN, revealing neuronal degeneration and altered dendritic morphology as well as astroglial density within the gray matter (Gaiaschi et al. 2024; Kawakami et al. 2022; Martin 1958; Neumärker et al. 1997). Furthermore, reduced serum insulin‐like growth factor 1 (IGF‐1) levels during the acute phase of AN are well‐documented, suggesting impaired glial differentiation (Hsieh et al. 2004; Janowska et al. 2020; Keeler et al. 2022; Misra and Klibanski 2016). Despite the established findings of brain atrophy in AN, the underlying pathophysiological mechanisms and their potential long‐term functional consequences remain mostly unclear.
To investigate these mechanisms, we established the starvation‐induced hyperactivity (SIH) model in mice (Staffeld et al. 2023). In this model, each animal received an individually calculated, restricted amount of food per day over a time span of 3 weeks, resulting in a 25% body weight loss while having free access to a running wheel (Frintrop, Liesbrock, et al. 2018; Staffeld et al. 2023). This allows for mimicking the predominantly chronic course of AN (Miskovic‐Wheatley et al. 2023). We have demonstrated that chronic starvation leads to decreased CC volume and oligodendrocyte density in the CC, confirmed by another study using a different AN animal model (Frintrop, Trinh, et al. 2018; Verspohl et al. 2025; Zimmermann et al. 2023, 2025). Moreover, chronic starvation has been shown to increase serum neurofilament light chain (NfL) levels, a marker of neuronal damage (Zimmermann et al. 2025). To the best of our knowledge, no investigations on the integrity of myelinated fibers in AN animal models exist to date. However, older studies, primarily conducted in the developing rat brain, reported impaired myelin synthesis and reduced axonal caliber as a consequence of undernutrition (Delaney et al. 1981; Faúndez et al. 1990; Fishman et al. 1971; Reddy et al. 1979; Royland et al. 1992; Wiggins et al. 1974; Yusuf et al. 1981).
Emerging evidence suggested that oxidative stress plays a major role in the pathophysiology of AN, as several studies have demonstrated increased oxidative stress markers alongside reduced antioxidant capacities in affected patients (Amerio et al. 2024; Gaiaschi et al. 2024; Kovalčíková et al. 2021; Solmi et al. 2016). Mitochondria represent the primary source of reactive oxygen species (ROS) (reviewed in Balaban et al. 2005). Investigations conducted in post‐mortem and AN animal studies indicated altered mitochondrial metabolism and dynamics (fission and fusion), which could contribute to enhanced ROS production (Bhasin et al. 2023; Gaiaschi et al. 2024; Hurley et al. 2021; Nobis et al. 2018; Spero et al. 2024). Mitochondrial fission and fusion are tightly regulated processes that enable mitochondria to adapt to cellular metabolic demands and support key cellular functions. Fission divides one mitochondrion into two, facilitating the removal of damaged mitochondria, whereas fusion preserves mitochondrial functionality by combining mitochondrial contents (reviewed in Chen et al. 2023; Tábara et al. 2025). Mitochondrial fission can be triggered by oxidative stress, but can also contribute to the production of ROS (reviewed in Ježek et al. 2018). Moreover, fission promotes apoptosis and is therefore considered a marker for mitochondrial stress (Frank et al. 2001). Notably, increased mitochondrial fission analyzed by protein expression has been observed in AN animal models (Bhasin et al. 2023; Hurley et al. 2021; Nobis et al. 2018). To the best of our knowledge, no electron microscopical analyses of axons and mitochondria in the white matter have been performed in AN animal models so far.
Therefore, we hypothesized that disturbances in white matter integrity arise from a reduction in oligodendrocyte density, accompanied by changes in the morphology of myelinated fibers and mitochondria. This study investigated whether chronic starvation and subsequent refeeding alter oligodendrocyte density within the CC. Furthermore, we present the first ultrastructural analyses of myelinated fibers and mitochondrial morphology within white matter using the SIH model. Understanding these cellular alterations may provide insights into cognitive and neurological deficits observed in patients with AN.
2. Materials and Methods
2.1. Animals
Female 4‐week‐old C57BL/6J mice (n = 81) were obtained from Janvier Labs (Le Genest‐Saint‐Isle, France). The mice were housed in individual cages with unrestricted access to a running wheel for the entire duration of the experiment under a light/dark cycle of 12/12 h (lights on at 6 AM) and at a temperature of 22°C ± 2°C. Cages were changed weekly with fresh bedding and a water bottle. Furthermore, microbiological monitoring was conducted based on the Federation of European Laboratory Animal Science Associations (FELASA) recommendations. The animal studies were approved by the Review Boards for the Care of Animal Subjects of the district government of Mecklenburg‐Western Pomerania (reference number 7221.3‐1‐005/21).
2.2. Study Design
The SIH model was used as previously described by Frintrop et al. and Staffeld et al. (Frintrop, Liesbrock, et al. 2018; Staffeld et al. 2023). Initially, the mice were housed with ad libitum access to food (Ssniff, Soest, Germany) and water during a 10‐day acclimatization phase. Body weight, food intake, and estrous cycle (via vaginal smears) were monitored daily at 1 PM. Following the acclimatization phase, mice were randomly assigned to either the SIH or control group (Control_Chronic_IHC: n = 6; SIH_Chronic_IHC: n = 6; Control_Chronic_ELISA: n = 5; SIH_Chronic_ELISA: n = 10; Control_Morphology: n = 11; SIH_Morphology: n = 11; Control_Refeeding_IHC: n = 5; SIH_Refeeding_IHC: n = 5; Control_Refeeding_ELISA: n = 11; SIH_Refeeding_ELISA: n = 11; Figure 1). Some mice had to be finalized and excluded prior to the experiment's end point due to exhibiting termination criteria (SIH_Chronic_ELISA: n = 1; SIH_Morphology: n = 1; SIH_Refeeding_ELISA: n = 1). During the acute starvation phase, SIH mice received 40% of their baseline food intake (defined as the average food intake during the acclimatization phase) until a 25% body weight loss was achieved. The acute starvation phase was defined as a 1‐week phase. After reaching the target weight, food intake was adjusted to 45%–70% of their baseline food intake to maintain the 25% body weight loss for an additional 2 weeks, thereby mimicking chronic starvation. Food for SIH mice was provided daily at 1 PM. During the subsequent 3‐week period of the refeeding phase, SIH mice obtained ad libitum food. Control mice had ad libitum access to food throughout the whole experiment. Estrous cycle and running wheel activity were monitored as previously reported (further details: Data S1) (Frintrop, Liesbrock, et al. 2018; Gabloffsky et al. 2022; Staffeld et al. 2023). Termination criteria included a 10% additional weight loss within 24 h, presence of cramps, paralysis, breathing noises, or forced breathing.
FIGURE 1.

Schematic illustration of the experiment set‐up, including cohorts with total sample sizes and the corresponding methods in the present study. IGF‐1: Insulin‐like growth factor 1; OLIG2: Oligodendrocyte lineage transcription factor 2; SIH: Starvation‐induced hyperactivity; TEM: Transmission electron microscopy. Created with Biorender.com.
2.3. Immunohistochemistry and Image Analysis
For immunohistochemistry analysis, the mice were euthanized via intraperitoneal injection of ketamine (100 mg/kg) and xylazine (10 mg/kg) at the end of the experiment (Control_Chronic_IHC: n = 6; SIH_Chronic_IHC: n = 6; Control_Refeeding_IHC: n = 5; SIH_Refeeding_IHC: n = 5). Transcardial perfusion was performed using phosphate‐buffered saline, followed by tissue fixation using 3.7% paraformaldehyde solution (pH 7.4). Brains were paraffin‐embedded and sectioned coronally at 5 μm‐thickness. Sections were processed following established standard protocols (Beecken et al. 2023) (Table 1, further details: Data S1). Investigations were performed in Region 215 according to the Mouse Brain Atlas from Sidman et al. (https://www.hms.harvard.edu/research/brain/atlas.html), corresponding to Bregma +0.14 in Paxinos and Franklin's Mouse Brain Atlas (Paxinos and Franklin 2001).
TABLE 1.
Antibodies used for immunohistochemistry.
| Antigen | Species | Dilution | Clonality | Purchase number | RRID | Supplier |
|---|---|---|---|---|---|---|
| Primary antibodies | ||||||
| OLIG2 | Rabbit | 1:1000 | Polyclonal | AB9610 | AB_570666 | Sigma Aldrich, Germany |
| Secondary antibodies | ||||||
| Anti‐rabbit IgG | Goat | 1:200 | Polyclonal | BA‐1000 | AB_2313606 | Vector Laboratories, USA |
Two brain sections per animal were digitized by using a Grundium Ocus 40 digital slide scanner (Grundium, Tampere, Finland). Cell quantification and staining intensity measurement were performed using the software QuPath Version 0.5.1 (Bankhead et al. 2017). For cell density measurements, oligodendrocyte lineage transcription factor 2‐positive (OLIG2+) cells were quantified in the whole CC of one brain hemisphere as region of interest. Cell counts in cells per mm2 were conducted by two evaluators blinded to the treatment groups and averaged per animal. Staining intensity measurement, assessed as OLIG2+ stained area within the region of interest and presented as relative cell area per total area, was performed by applying a pixel classifier and creating the best fitting threshold (further details: Data S1).
2.4. Measurement of Serum IGF‐1
At the end of the chronic starvation and refeeding phase, blood samples were collected retro‐orbital for the analysis of serum IGF‐1 (Control_Chronic_ELISA: n = 5; SIH_Chronic_ELISA: n = 8; Control_Refeeding_ELISA: n = 11; SIH_Refeeding_ELISA: n = 8). The collected blood samples were centrifuged at 3400g for 15 min at 4°C, and supernatant serum was obtained. Serum IGF‐1 concentrations were measured using the ELISA Luminex Discovery Assay (R&D‐Systems LXSAMSM, Minneapolis, MN, USA) according to manufacturer instructions via flow cytometry (Luminex100/200, Merck, Darmstadt, Germany). Some animals had to be excluded due to insufficient serum amounts (SIH_Chronic_ELISA: n = 1; SIH_Refeeding_ELISA: n = 2).
2.5. Ultrastructural Analysis
For transmission electron microscopy (TEM) analyses, three randomly selected mice each from the control and SIH group of the Morphology cohort were used (Control_Morphology: n = 3; SIH_Morphology: n = 3). These mice were euthanized via intraperitoneal injections of ketamine (100 mg/kg) and xylazine (10 mg/kg) following the chronic starvation phase. Transcardial perfusion was performed using Ringer's solution supplemented with sodium nitrite and heparin, followed by fixation with 2% glutaraldehyde and 1.4% paraformaldehyde solution (pH 7.4). After dissection, the brains were embedded in 2.5% agarose. Coronal brain sections of 300 μm thickness were prepared using a vibratome (Leica VT1000 S, Leica, Wetzlar, Germany). The sections were then processed for TEM analysis using standard protocols (further details: Data S1). The Cingulum (Cg) as a white matter structure adjacent to the CC was selected as a region of interest due to the predominance of perpendicular axonal cross‐sections in this area. Investigations were performed in the Cg of Region 265 according to the Mouse Brain Atlas from Sidman et al. (https://www.hms.harvard.edu/research/brain/atlas.html), corresponding to Bregma −0.94 in Paxinos and Franklin's Mouse Brain Atlas (Paxinos and Franklin 2001).
TEM Imaging of ultrathin sections was performed using a Zeiss EM902 (Carl Zeiss Microscopy, Jena, Deutschland) and a field emission scanning microscope (Zeiss Merlin VP compact, Carl Zeiss Oberkochen, Germany) (further details: Data S1). Three to four images per animal were evaluated and averaged. The morphometric analyses of myelinated fibers and mitochondria in the Cg were conducted blinded to the treatment groups using the software QuPath Version 0.5.1 (Bankhead et al. 2017). For myelinated fibers, axonal and fiber cross‐sectional areas were measured to calculate axonal diameter, myelinated fiber diameter, G‐Ratio (1), and myelin thickness (2).
| (1) |
| (2) |
For morphometric analysis, a rectangular grid (8 × 8 μm) was superimposed across each image, and the analysis was conducted on every tenth grid frame. Additionally, the circularity (3) was assessed, and diagonally oriented axons with a circularity below 0.7 were excluded from the investigation. In total, 300 to 400 myelinated fibers per animal were measured.
| (3) |
For mitochondrial evaluation, the mitochondrial density was quantified as number of mitochondria per mm2 tissue. Morphometric analysis of mitochondrial cross‐sectional area was performed, and the relative mitochondrial area (total mitochondrial area relative to total tissue area) was calculated on every fifth grid frame. The change in mitochondrial area is expected to lead to an altered mitochondrial density due to increased or decreased encounters of mitochondrial cross sections. Based on Disector's Principle, we estimated the expected mitochondrial density decrease based on the reduction in mitochondrial area and then used this as a correction factor to determine the increase in mitochondria density (Cruz‐Orive 1987) (further details: Data S1). Myelinated fibers were excluded from the evaluated area and mitochondria within the axons were measured separately. In total, 500 to 750 mitochondria per animal were morphometrically assessed.
2.6. Statistics
Data are presented as means ± standard error of the mean (SEM). First, the Grubbs' test (α = 0.05) was performed to detect outliers, followed by the Shapiro–Wilk test to check for normal distribution and the Levene Test for homogeneity of variance. For the statistical analysis of body weight and running wheel activity, the values measured in the distinct phases were compared: acclimatization phase (days 1–10), acute starvation phase (days 11–16), and chronic starvation phase (days 17–29). The evaluation of body weight and running wheel activity between SIH and control mice within each phase was performed using two‐way ANOVA with repeated measurements and a significance level p ≤ 0.05. For post hoc evaluations, Bonferroni correction was used. To investigate whether the estrous cycle differed between the control and SIH groups, the presence or absence of the fertile phase in each 4‐day block was assessed using the χ 2 test. For immunohistochemical staining, serum IGF‐1 concentration, and TEM evaluation, two‐sided Student's t‐test was used if the data were normally distributed; otherwise, the Mann–Whitney test was applied. The significance level was determined as p ≤ 0.05. Effect sizes were calculated as Cohen's d. Statistical analysis was performed with SPSS version 20 (IBM, Chicago, IL, USA) and GraphPad Prism 10.2 (GraphPad Software, Boston, MA, USA). The sample size was calculated using an a priori one‐way ANOVA with the G*Power Software 3.1.4 (Faul et al. 2007) (further details: Data S1).
3. Results
3.1. Chronic Starvation Leads to the AN‐Related Symptoms of Hyperactivity and Amenorrhea
First, we investigated whether chronic starvation induces AN‐related symptoms (hyperactivity and amenorrhea) in the cohort used for morphological analyses (Control_Morphology: n = 11; SIH_Morphology: n = 10, Figure 2). On average, SIH mice reached a 25% body weight loss by day 17. The body weight of SIH mice was reduced compared to control mice in the acute and chronic starvation phase (acute starvation phase: Control_Morphology: 16.47 g ± 0.24 vs. SIH_Morphology: 13.22 g ± 0.22; p = < 0.001; Cohen's d: −3.992; chronic starvation phase: Control_Morphology: 17.96 g ± 0.23 vs. SIH_Morphology: 11.95 g ± 0.17; p = < 0.001; Cohen's d: −8.184; Figure 2C). Moreover, acute and chronic starvation induced hyperactivity in SIH mice (acute starvation phase: Control_Morphology: 2.83 km ± 0.45 vs. SIH_Morphology: 5.95 km ± 0.85; p = 0.004; Cohen's d: 1.203; chronic starvation phase: Control_Morphology: 3.81 km ± 0.46 vs. SIH_Morphology: 8.07 km ± 0.52; p = < 0.001; Cohen's d: 1.601; Figure 2D). Throughout the complete chronic starvation phase, a fertile estrous phase was absent in SIH mice, indicating amenorrhea (χ 2 test, exemplary for the 5th and 8th block: Control_Morphology vs. SIH_Morphology: χ(df) = 1; χ 2 = 21; p = < 0.001; Figure 2E). In summary, chronic starvation led to the AN‐related symptoms of hyperactivity and amenorrhea. The other mouse cohorts included in this study were previously used in our investigations; Body weight, running wheel activity and estrous cycle data have been published in (Staffeld et al. 2023; Zimmermann et al. 2025) (further details: Data S1).
FIGURE 2.

Chronic starvation induces AN‐related symptoms, such as hyperactivity and amenorrhea. (A, B) The experimental setup with the (A) control and (B) SIH group is schematically illustrated. Created with BioRender.com. (C–E) Measurement of body weight, running wheel activity and incidence of estrous cycle within 4‐days blocks was conducted daily at 1 PM. The blue dotted lines indicate the beginning of the acute and chronic starvation phase. The red dotted line highlights the time point when the SIH group reached a 25% body weight loss. (C, D) To investigate body weight loss and running wheel activity between control and SIH mice, two‐way ANOVA with repeated measurements was performed for each phase. (E) To compare the incidence of estrous cycle between control and SIH mice, the χ 2 test was conducted for each block separately. ** = p ≤ 0.01; *** = p ≤ 0.001.
3.2. Chronic Starvation Induces a Reduction in the Density of OLIG2 + Cells as Well as OLIG2 Staining Intensity in the CC and Serum IGF‐1
Further, we evaluated whether chronic starvation induces a change in oligodendrocyte density and OLIG2 staining intensity in the CC, and whether these effects were reversible following refeeding (Figure 3). After chronic starvation, SIH mice exhibited a reduction in oligodendrocyte density compared to control mice (Control_Chronic_IHC: 1041 cells/mm2 ± 18.64 vs. SIH_Chronic_IHC: 864 cells/mm2 ± 27.02; p = < 0.001; Cohen's d: −3.163). This observation was accompanied by a decrease in OLIG2 staining intensity (Control_Chronic_IHC: 3.51% ± 0.16 vs. SIH_Chronic_IHC: 2.47% ± 0.22; p = 0.015; Cohen's d: −2.223). However, oligodendrocyte density did not differ between the two groups after refeeding (Control_Refeeding_IHC: 1208 cells/mm2 ± 25.51 vs. SIH_Refeeding_IHC: 1114 cells/mm2 ± 54.41; p = 0.155; Cohen's d: −0.989). The OLIG2 staining intensity in SIH mice was increased after refeeding compared to controls (Control_Refeeding_IHC: 3.51% ± 0.37 vs. SIH_Refeeding_IHC: 4.95% ± 0.32; p = 0.0198; Cohen's d: 1.83). Next, we investigated whether the observed changes in oligodendrocyte density could be due to an altered serum IGF‐1 concentration as an essential growth factor for the differentiation of glial cells and axon development (Guo et al. 2018; Hsieh et al. 2004; Janowska et al. 2020) (Figure 3). Chronic starvation led to a reduction in serum IGF‐1 concentration in SIH mice (Control_Chronic_ELISA: 16336 pg/mL ± 3003 vs. SIH_Chronic_ELISA: 526.4 pg/mL ± 125; p = 0.002; Cohen's d: −3.895). After refeeding, no difference in IGF‐1 concentration between SIH and control mice was observed (Control_Refeeding_ELISA: 15235 pg/mL ± 2444 vs. SIH_Refeeding_ELISA: 9496 pg/mL ± 970; p = 0.073; Cohen's d: −0.888). In summary, chronic starvation induced a decrease in oligodendrocyte density and OLIG2 staining intensity in the CC as well as serum IGF‐1 concentration, whereas these parameters normalized following refeeding.
FIGURE 3.

Chronic starvation induces decreased oligodendrocyte density in the CC, which normalizes after refeeding. (A) OLIG2+ cell densities in an exemplary low magnification (left) and high magnification (right) IHC image of the CC. OLIG2+ cells are indicated by black arrows. (B) After chronic starvation, a decrease in oligodendrocyte density, OLIG2 staining intensity and serum IGF‐1 concentration was detected. Oligodendrocyte density, OLIG2 staining intensity and serum IGF‐1 concentration normalized after refeeding. Two‐sided Student's t‐test, * = p ≤ 0.05; *** = p ≤ 0.001.
3.3. Chronic Starvation Induces a Reduction in Axon Caliber of Myelinated Fibers in the Cg
Next, we investigated whether chronic starvation affects axon and myelin morphology of myelinated fibers in TEM images of the Cg, as an additional white matter structure (Figure 4). Starvation induced a decrease in axonal diameter (Control_Morphology: 0.821 μm ± 0.019 vs. SIH_Morphology: 0.75 μm ± 0.003; p = 0.022; Cohen's d: −3.008) and axonal area (Control_Morphology: 0.496 μm2 ± 0.027 vs. SIH_Morphology: 0.419 μm2 ± 0.002; p = 0.046; Cohen's d: −2.362). In contrast, the area of the myelinated fibers did not differ between groups after starvation (Control_Morphology: 0.886 μm ± 0.074 vs. SIH_Morphology: 0.789 μm ± 0.041; p = 0.4; Cohen's d: −0.929). Furthermore, neither the G‐Ratio (Control_Morphology: 0.763 ± 0.016 vs. SIH_Morphology: 0.737 ± 0.016; p = 0.311; Cohen's d: −0.963) nor the myelin thickness (Control_Morphology: 0.125 μm ± 0.012 vs. SIH_Morphology: 0.129 μm ± 0.01; p = 0.807; Cohen's d: 0.205) were altered between SIH and control mice. In summary, chronic starvation induced a decrease in axon caliber, while the G‐Ratio and myelin thickness remained unaffected.
FIGURE 4.

Chronic starvation induces a decrease in axon diameter and area in the Cg. (A) In the exemplary low magnification TEM images (above) and high magnification images (below), myelinated fibers are displayed. The red arrows indicate axons and the asterisks the myelin sheath. (B) A decrease in axon area and diameter in the SIH mice was detected after starvation, whereas the myelin fiber area, the G‐Ratio, and myelin thickness in the Cg were not affected. Two‐sided Student's t‐test was conducted for all analyses, except the myelin fiber area, which was evaluated using the Mann–Whitney test. * = p ≤ 0.05.
3.4. Chronic Starvation Induces an Increase in Mitochondrial Density Paralleled by Decreased Mitochondrial Area in the Cg Indicating Enhanced Mitochondrial Fission
We investigated whether chronic starvation induces subcellular morphological alterations of mitochondria in the Cg, assessed via TEM imaging (Figure 5). Chronic starvation led to an increase in mitochondria density in SIH mice compared to control (Control_Morphology: 0.715 × 106 mitochondria/mm2 ± 0.136 × 106 vs. SIH_Morphology: 1.188 × 106 mitochondria/mm2 ± 0.036 × 106; p = 0.028; Cohens' d: 2.739). Using the Disector's Principle, the expected mitochondrial density based on the altered area was taken into account, and an increase of 150% in mitochondrial density in SIH mice was estimated (expected mitochondrial density: 0.474 × 106 mitochondria/mm2). This was paralleled by a decrease in mitochondrial area outside the axons (Control_Morphology: 0.107 μm ± 0.007 vs. SIH_Morphology: 0.071 μm ± 0.006; p = 0.019; Cohen's d: −3.127) as well as inside the axons (Control_Morphology: 0.091 μm ± 0.005 vs. SIH_Morphology: 0.069 μm ± 0.006; p = 0.043; Cohen's d: −2.313). No change in relative mitochondria area in SIH mice could be observed after chronic starvation (Control_Morphology: 8% ± 1.89 vs. SIH_Morphology: 7.749% ± 0.057; p = 0.903; Cohen's d: −0.108). In summary, chronic starvation induced an increase in mitochondrial density accompanied by a decrease in mitochondrial area, potentially indicating enhanced mitochondrial fission events.
FIGURE 5.

Chronic starvation induces morphological alterations in mitochondria of the Cg. (A, B) In the exemplary low magnification TEM images (left) and high magnification TEM images (right), mitochondria (A) outside and (B) inside the axons in the Cg are displayed. Red arrows indicate mitochondria. (C–F) After starvation, the mitochondrial density in SIH mice increased, paralleled by a reduction in mitochondrial area outside and inside the axons in the Cg. Two‐sided Student's t‐test, * = p ≤ 0.05.
4. Discussion
The pathophysiology underlying the brain atrophy in AN remains poorly understood. To elucidate potential mechanisms in the CC, we demonstrated that chronic starvation with 25% weight loss induced a reduction of oligodendrocyte density and anti‐OLIG2 staining intensity. This finding is consistent with previous studies (Verspohl et al. 2025; Zimmermann et al. 2023). OLIG2 is continuously expressed throughout the oligodendrocyte lineage, including oligodendrocyte precursor cells (OPCs), premyelinating oligodendrocytes (preOLs), and the differentiated myelinating oligodendrocytes (OLs) (reviewed in Baumann and Pham‐Dinh 2001). In previous studies, oligodendrocyte density assessed via adenomatous polyposis coli antigen, a specific marker for OLs, remained unaltered after chronic starvation (Frintrop et al. 2019; Verspohl et al. 2025). This suggests that primarily OPCs and preOLs, rather than mature OLs, are affected by chronic starvation. One of our previous studies and others demonstrated reduced cell proliferation after starvation, while apoptosis in the CC remained unaffected (Barbarich‐Marsteller et al. 2013; Frintrop et al. 2019; Verspohl et al. 2025). Furthermore, the OL population exhibits a long lifespan under physiological conditions, particularly in the CC (Tripathi et al. 2017). Therefore, impaired proliferation and differentiation of OPCs are likely to contribute to the observed reduction of OLIG2+ cell density after chronic starvation.
Reduced OLIG2 staining intensity after starvation indicates changed OLIG2 expression and/or morphology of oligodendrocytes. Following refeeding, oligodendrocyte density was normalized, while OLIG2 staining intensity even increased in SIH mice, indicating that the observed alterations after chronic starvation were reversible. Since OLIG2 is a key transcription factor regulating oligodendrocyte development and differentiation, its expression may be upregulated during refeeding as part of a recovery mechanism to restore oligodendrocyte populations (Mei et al. 2013). Alternatively, the increased OLIG2 staining intensity could reflect morphological alterations of oligodendrocytes during recovery.
Next, decreased serum IGF‐1 levels following chronic starvation were observed, which normalized after refeeding. This finding is in line with investigations in patients with AN and AN animal models (Misra and Klibanski 2016; Zgheib et al. 2014). IGF‐1 plays a crucial role in glial cell homeostasis by promoting the differentiation of progenitor cells into oligodendrocytes, supporting their maturation through enhancement of process branching and inhibiting apoptosis of OLs (Hsieh et al. 2004; Janowska et al. 2020; Mason et al. 2000). Further, IGF‐1 facilitates axon growth (Guo et al. 2018). The implications of reduced serum IGF‐1 concentration in the pathophysiology of AN remain mostly unexplored. Given the critical role of IGF‐1 in glial cell homeostasis, decreased IGF‐1 could contribute to the reduction in oligodendrocyte density and axon caliber.
Chronic starvation resulted in a decrease in axonal area and diameter, whereas no changes in myelinated fiber area, G‐Ratio and myelin thickness were detected in the Cg. The observed decrease in axonal caliber is in line with previous studies in patients with AN, which demonstrated reduced fiber bundle volume, respectively cross‐sectional area in the CC and Cg (Delaney et al. 1981; Faúndez et al. 1990; de La Cruz et al. 2023; Maier et al. 2022). Additionally, increased axonal diffusivity – a marker reflecting water molecule diffusion parallel to myelinated fibers– was observed in patients with AN. This increase was hypothesized to result from a reduction in axonal caliber, as smaller axons follow a more linear path with less tortuosity (Griffiths et al. 2021; de La Cruz et al. 2023; Miles et al. 2020). The decrease in axonal caliber detected in our study could support this hypothesis, since a decrease in axonal caliber is negatively correlated with the axonal diffusivity (Barazany et al. 2009; Takahashi et al. 2000). Moreover, elevated serum NfL concentrations in chronically‐starved mice, which, in combination with a reduced axon caliber, indicate axonal damage and atrophy (Reyes‐Ortega et al. 2020; Zimmermann et al. 2025). Notably, NfL is crucial for the growth of the axonal diameter (Sainio et al. 2021). Therefore, the decrease in axonal caliber represents a potential reason for the decrease in CC volume in SIH mice and white matter volume loss reported in patients with AN (Seitz et al. 2018; Zimmermann et al. 2025).
The unchanged myelin parameters contrast with studies in undernourished rats from birth over extended periods, which reported reduced myelin but did not utilize AN models (Delaney et al. 1981; Fishman et al. 1971; Reddy et al. 1979; Royland et al. 1992; Wiggins et al. 1974; Yusuf et al. 1981). Several neuroimaging studies in patients with AN revealed reduced white matter integrity and suggest decreased myelination (Griffiths et al. 2021; Laczkovics et al. 2022; Miles et al. 2020; Murray et al. 2023; Nickel et al. 2019; Pappaianni et al. 2022; von Schwanenflug et al. 2019; Travis et al. 2015). Since we found no evidence for myelin degradation in SIH mice, potentially a longer starvation period induces alterations in myelination. Myelin proteins, especially proteolipid protein and myelin basic protein, have long lives of several months (Lüders et al. 2019; Meschkat et al. 2022). Thus, rapid degeneration of myelin sheaths would likely be required to detect short‐term alterations caused by starvation. Consequently, starvation may primarily impair myelin synthesis leading to long‐term alterations but does not actively damage the myelin sheaths. Additionally, our study did not assess microstructural alterations such as the myelin lamellae or the rate of myelin synthesis.
This study provides the first morphological evidence of increased mitochondrial fission in an AN animal model, reflected by elevated mitochondrial density and reduced area outside and inside of axons. This finding is consistent with previous studies reporting increased levels of phosphorylated dynamin‐related protein 1 as a mitochondrial fission marker (Bhasin et al. 2023; Hurley et al. 2021; Nobis et al. 2018). These alterations suggest impaired energy metabolism in axons following starvation. Since mitochondria are crucial for axonal development and maintenance, mitochondrial dysfunction may contribute to the observed decrease in axonal caliber. This is supported by findings linking increased mitochondrial fission with axonal injury (reviewed in Pozo Devoto et al. 2022). Additionally, myelination is a high‐energy‐demanding process, which heavily depends on intact mitochondrial function, indicating possibly impaired myelination of axons due to starvation conditions (reviewed in Meyer et al. 2017). The observed mitochondrial phenotype may indicate mitochondrial stress. Zheng et al. demonstrated that hypoglycemia is a potent inducer of mitochondrial fission in fission yeast, linked to ROS production in fragmented mitochondria, and concluded the increase in ROS to be potentially due to mitochondrial fragmentation (Zheng et al. 2019). Notably, hypoglycemia is frequently observed in patients with AN and was reported in one of our previous studies (Gibson et al. 2020; Staffeld et al. 2023; Uotani et al. 2022). Thus, hypoglycemia represents a potential mechanism contributing to the detected increase in mitochondrial fission and may also be linked with changes in oligodendrocytes. Since especially OPCs depend mostly on mitochondrial oxidative phosphorylation, they are susceptible to hypoglycemia, which has been demonstrated to impair their proliferation, maturation, and survival (Rinholm et al. 2011; Rone et al. 2016; Yan and Rivkees 2006). Moreover, mitochondria may play a crucial role in oligodendrocyte differentiation as impaired oxidative phosphorylation inhibited oligodendroglial differentiation in vitro (reviewed in Gil and Gama 2023; see also Schoenfeld et al. 2010). If hypoglycemia is a key driver of mitochondrial alterations, associated oligodendroglial changes may be reversible upon refeeding.
Patients with AN exhibited decreased white matter volume, which was reversible upon weight rehabilitation (Seitz et al. 2018). Moreover, in patients, brain regions that are associated with higher oligodendrocyte specific gene expression showed a greater volume loss under starvation compared to regions with fewer oligodendrocyte specific gene expression, supporting a potential role of oligodendrocytes in brain volume reduction in AN (Bahnsen et al. 2022). This connection might link the normalization of oligodendrocyte density to an increase in white matter volume and normalization of microstructural alterations in patients with AN following weight rehabilitation (Griffiths et al. 2021; Maier et al. 2022; Nickel et al. 2019; von Schwanenflug et al. 2019; Seitz et al. 2018). We previously demonstrated that chronic starvation in mice led to a decrease in CC volume, which persisted after refeeding (Zimmermann et al. 2025). A longer refeeding period in mice may therefore be required to induce a normalization of white matter volume loss. The CC is thought to contribute to body image perception, which often is disturbed in patients with AN (Feusner et al. 2024; Gaudio and Quattrocchi 2012; Zhang et al. 2020). The Cg, a major white matter tract of the limbic system, connects the frontal, parietal and temporal lobes as well as the cingulate gyrus, thalamic nuclei, hippocampus, insula and amygdala (reviewed in Kollenburg et al. 2025). Moreover, the Cg has been shown to exhibit microstructural alterations and associated functional disturbances, including emotional regulation, memory, and reward processing in patients with AN (Bubb et al. 2018; Harrison et al. 2010; J. Keeler et al. 2021; Rye et al. 2025; Zhang et al. 2020). Thus, dysfunctions of oligodendrocytes and axons within the CC and Cg may underlie some psychopathological characteristics in AN. Another behavioral phenotype in patients with AN is excessive locomotor activity, which was also induced in SIH mice in this study (Kron et al. 1978; Mond and Gorrell 2021). Recent studies in ABA animals suggest that GABAergic synaptic plasticity in the hippocampus influences locomotor activity, with excessive activity enhancing α4βδ‐GABAA receptor trafficking (reviewed in Aoki and Santiago 2022; Dong et al. 2025; see also Aoki et al. 2018).
It should be noted that in mice, the period between 3 weeks and 3 months of age represents a critical phase for brain maturation, during which the most development of myelinated fibers and oligodendrogliogenesis occurs (Balraj et al. 2022; Hammelrath et al. 2016; Psachoulia et al. 2009; Tripathi et al. 2017; Young et al. 2013). As starvation in SIH mice was induced at approximately 5 weeks of age, it likely interfered with these ongoing maturation processes, potentially affecting axonal and glial cell development. Similarly, early adolescence in humans constitutes a critical period for axonal growth and myelination, which may contribute to the detected white matter volume loss in patients with AN (Z. Chen et al. 2016; Genc et al. 2023; Lebel and Deoni 2018; Seitz et al. 2018; Yeung et al. 2014).
In summary, chronic starvation caused a reduction in oligodendrocyte density and anti‐OLIG2 staining intensity in the CC, alongside decreased serum IGF‐1 concentration, which normalized after refeeding. Additionally, chronic starvation induced a reduction in axonal area and diameter in the Cg. Further, chronic starvation led to an increase in mitochondrial density paralleled by reduced mitochondrial area. These alterations may contribute to brain atrophy and disturbance of white matter integrity in patients with AN. However, the underlying molecular mechanisms and potential functional implications require further evaluation. Moreover, TEM studies are required to analyze reversibility of ultrastructural alterations upon refeeding.
Author Contributions
Stephan Lang: conceptualization, data curation, formal analysis, investigation, methodology, validation, visualization, writing – original draft, writing – review and editing. Annelie Zimmermann: data curation, formal analysis, investigation, methodology, validation, visualization. Kaja Dickert: data curation, formal analysis, investigation, methodology, visualization. Hanna Rupprecht: investigation. Julia Priebe: investigation. Fabienne Haberland: investigation. Hanna‐Sophia Henschke: investigation. Katharina Schuster: investigation. Marcus Frank: data curation, formal analysis, investigation, methodology, validation, visualization. Linda Frintrop: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, validation, visualization, writing – original draft, writing – review and editing. All authors have approved the final manuscript.
Funding
This work was supported by the Doktor Robert Pfleger funding and intramural funding (FORUN program, University Medical Center Rostock).
Ethics Statement
All animal procedures were conducted at the Institute of Anatomy at the Rostock University Medical Center, in accordance with EU Directive 2010/63 on the protection of animals used for scientific purposes and the recommendations of the Federation of European Laboratory Animal Science Associations (FELASA). The animal studies were approved by the Review Boards for the Care of Animal Subjects of the district government of Mecklenburg‐Western Pomerania (reference number 7221.3‐1‐005/21). The experiments were reported according to the ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines (Du Percie Sert et al. 2020).
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Data S1: Supporting Information.
Acknowledgments
We are grateful to Susann Lehmann and Frauke Winzer for their outstanding and valuable technical assistance. Additionally, we thank Sarah Gaedke and Lucie Ahrent (Institute of Anatomy) as well as Ute Schulz (Electron Microscopy Centre) for their technical assistance. Open Access funding enabled and organized by Projekt DEAL.
Lang, S. , Zimmermann A., Dickert K., et al. 2026. “Reduced Oligodendrocyte Density and Axonal Caliber Associated With Mitochondrial Alterations in the White Matter of Chronically‐Starved Mice.” International Journal of Eating Disorders 59, no. 5: 869–884. 10.1002/eat.70036.
Action Editor: Ruth Striegel Weissman
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- Amerio, A. , Martino E., Strangio A., et al. 2024. “Autoantibodies, Oxidative Stress, and Nutritional State in Anorexia Nervosa.” Antibodies 14, no. 1: 1. 10.3390/antib14010001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aoki, C. , Chen Y.‐W., Chowdhury T. G., and Piper W.. 2018. “Α4βδ‐GABAA Receptors in Dorsal Hippocampal CA1 of Adolescent Female Rats Traffic to the Plasma Membrane of Dendritic Spines Following Voluntary Exercise and Contribute to Protection of Animals From Activity‐Based Anorexia Through Localization at Excitatory Synapses.” Journal of Neuroscience Research 96, no. 9: 1450–1466. 10.1002/jnr.24035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aoki, C. , and Santiago A. N.. 2022. “Pathway‐Specific GABAergic Inhibition Contributes to the Gain of Resilience Against Anorexia‐Like Behavior of Adolescent Female Mice.” Frontiers in Behavioral Neuroscience 16: 990354. 10.3389/fnbeh.2022.990354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bahnsen, K. , Bernardoni F., King J. A., et al. 2022. “Dynamic Structural Brain Changes in Anorexia Nervosa: A Replication Study, Mega‐Analysis, and Virtual Histology Approach.” Journal of the American Academy of Child & Adolescent Psychiatry 61, no. 9: 1168–1181. 10.1016/j.jaac.2022.03.026. [DOI] [PubMed] [Google Scholar]
- Balaban, R. S. , Nemoto S., and Finkel T.. 2005. “Mitochondria, Oxidants, and Aging.” Cell 120, no. 4: 483–495. 10.1016/j.cell.2005.02.001. [DOI] [PubMed] [Google Scholar]
- Balraj, A. , Clarkson‐Paredes C., Pajoohesh‐Ganji A., Kay M. W., Mendelowitz D., and Miller R. H.. 2022. “Refinement of Axonal Conduction and Myelination in the Mouse Optic Nerve Indicate an Extended Period of Postnatal Developmental Plasticity.” Developmental Neurobiology 82, no. 4: 308–325. 10.1002/dneu.22875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bankhead, P. , Loughrey M. B., Fernández J. A., et al. 2017. “QuPath: Open Source Software for Digital Pathology Image Analysis.” Scientific Reports 7, no. 1: 16878. 10.1038/s41598-017-17204-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barazany, D. , Basser P. J., and Assaf Y.. 2009. “In Vivo Measurement of Axon Diameter Distribution in the Corpus Callosum of Rat Brain.” Brain: A Journal of Neurology 132, no. Pt 5: 1210–1220. 10.1093/brain/awp042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barbarich‐Marsteller, N. C. , Fornal C. A., Takase L. F., et al. 2013. “Activity‐Based Anorexia Is Associated With Reduced Hippocampal Cell Proliferation in Adolescent Female Rats.” Behavioural Brain Research 236, no. 1: 251–257. 10.1016/j.bbr.2012.08.047. [DOI] [PubMed] [Google Scholar]
- Barona, M. , Brown M., Clark C., Frangou S., White T., and Micali N.. 2019. “White Matter Alterations in Anorexia Nervosa: Evidence From a Voxel‐Based Meta‐Analysis.” Neuroscience and Biobehavioral Reviews 100: 285–295. 10.1016/j.neubiorev.2019.03.002. [DOI] [PubMed] [Google Scholar]
- Baumann, N. , and Pham‐Dinh D.. 2001. “Biology of Oligodendrocyte and Myelin in the Mammalian Central Nervous System.” Physiological Reviews 81, no. 2: 871–927. 10.1152/physrev.2001.81.2.871. [DOI] [PubMed] [Google Scholar]
- Beecken, M. , Baumann L., Vankriekelsvenne E., et al. 2023. “The Cuprizone Mouse Model: A Comparative Study of Cuprizone Formulations From Different Manufacturers.” International Journal of Molecular Sciences 24, no. 13: 10564. 10.3390/ijms241310564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bhasin, H. , O'Brien S. C., Cordner Z. A., Aston S. A., Tamashiro K. L. K., and Moran T. H.. 2023. “Activity‐Based Anorexia in Adolescent Female Rats Causes Changes in Brain Mitochondrial Dynamics.” Physiology & Behavior 261: 114072. 10.1016/j.physbeh.2022.114072. [DOI] [PubMed] [Google Scholar]
- Bubb, E. J. , Metzler‐Baddeley C., and Aggleton J. P.. 2018. “The Cingulum Bundle: Anatomy, Function, and Dysfunction.” Neuroscience and Biobehavioral Reviews 92: 104–127. 10.1016/j.neubiorev.2018.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castro‐Fornieles, J. , Caldú X., Andrés‐Perpiñá S., et al. 2010. “A Cross‐Sectional and Follow‐Up Functional MRI Study With a Working Memory Task in Adolescent Anorexia Nervosa.” Neuropsychologia 48, no. 14: 4111–4116. 10.1016/j.neuropsychologia.2010.10.003. [DOI] [PubMed] [Google Scholar]
- Chen, W. , Zhao H., and Li Y.. 2023. “Mitochondrial Dynamics in Health and Disease: Mechanisms and Potential Targets.” Signal Transduction and Targeted Therapy 8, no. 1: 333. 10.1038/s41392-023-01547-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, Z. , Zhang H., Yushkevich P. A., Liu M., and Beaulieu C.. 2016. “Maturation Along White Matter Tracts in Human Brain Using a Diffusion Tensor Surface Model Tract‐Specific Analysis.” Frontiers in Neuroanatomy 10: 9. 10.3389/fnana.2016.00009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chesney, E. , Goodwin G. M., and Fazel S.. 2014. “Risks of All‐Cause and Suicide Mortality in Mental Disorders: A Meta‐Review.” World Psychiatry 13, no. 2: 153–160. 10.1002/wps.20128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cruz‐Orive, L. M. 1987. “Particle Number Can Be Estimated Using a Disector of Unknown Thickness: The Selector.” Journal of Microscopy 145, no. 2: 121–142. [PubMed] [Google Scholar]
- de La Cruz, F. , Schumann A., Rieger K., Di Giuliano M., and Bär K.‐J.. 2023. “Fibre‐Specific White Matter Changes in Anorexia Nervosa.” Psychiatry Research: Neuroimaging 336: 111736. 10.1016/j.pscychresns.2023.111736. [DOI] [PubMed] [Google Scholar]
- Delaney, A. J. , Samorajski T., Fuller G. N., and Wiggins R. C.. 1981. “A Morphometric Comparison of Central and Peripheral Hypomyelination Induced by Postnatal Undernourishment of Rats.” Journal of Nutrition 111, no. 4: 746–754. 10.1093/jn/111.4.746. [DOI] [PubMed] [Google Scholar]
- Dong, Y. , Goodwin‐Groen S., Ma J., et al. 2025. “Mechanisms Underlying Sustained Resilience Against Anorexia Nervosa From Sub‐Anesthetic Ketamine: A Review and New Research Based on Electron Microscopic Analyses of Synapses Using a Mouse Model.” Physiology & Behavior 298: 114956. 10.1016/j.physbeh.2025.114956. [DOI] [PubMed] [Google Scholar]
- Du Percie Sert, N. , Ahluwalia A., Alam S., et al. 2020. “Reporting Animal Research: Explanation and Elaboration for the ARRIVE Guidelines 2.0.” PLoS Biology 18, no. 7: e3000411. 10.1371/journal.pbio.3000411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faul, F. , Erdfelder E., Lang A.‐G., and Buchner A.. 2007. “G*Power 3: A Flexible Statistical Power Analysis Program for the Social, Behavioral, and Biomedical Sciences.” Behavior Research Methods 39, no. 2: 175–191. 10.3758/bf03193146. [DOI] [PubMed] [Google Scholar]
- Faúndez, V. , Cordero M. E., Rosso P., and Alvarez J.. 1990. “Calibers and Microtubules of Nerve Fibers: Differential Effect of Undernutrition in Developing and Adult Rats.” Brain Research 509, no. 2: 198–204. 10.1016/0006-8993(90)90544-L. [DOI] [PubMed] [Google Scholar]
- Feusner, J. D. , Nowacka A., Ly R., Luders E., and Kurth F.. 2024. “Corpus Callosum Morphology and Relationships to Illness Phenotypes in Individuals With Anorexia Nervosa.” Scientific Reports 14, no. 1: 11112. 10.1038/s41598-024-61841-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fishman, M. A. , Madyastha P., and Prensky A. L.. 1971. “The Effect of Undernutrition on the Development of Myelin in the Rat Central Nervous System.” Lipids 6, no. 7: 458–465. 10.1007/BF02531229. [DOI] [PubMed] [Google Scholar]
- Frank, S. , Gaume B., Bergmann‐Leitner E. S., et al. 2001. “The Role of Dynamin‐Related Protein 1, a Mediator of Mitochondrial Fission, in Apoptosis.” Developmental Cell 1, no. 4: 515–525. 10.1016/S1534-5807(01)00055-7. [DOI] [PubMed] [Google Scholar]
- Frintrop, L. , Liesbrock J., Paulukat L., et al. 2018. “Reduced Astrocyte Density Underlying Brain Volume Reduction in Activity‐Based Anorexia Rats.” World Journal of Biological Psychiatry: The Official Journal of the World Federation of Societies of Biological Psychiatry 19, no. 3: 225–235. 10.1080/15622975.2016.1273552. [DOI] [PubMed] [Google Scholar]
- Frintrop, L. , Trinh S., Liesbrock J., et al. 2018. “Establishment of a Chronic Activity‐Based Anorexia Rat Model.” Journal of Neuroscience Methods 293: 191–198. 10.1016/j.jneumeth.2017.09.018. [DOI] [PubMed] [Google Scholar]
- Frintrop, L. , Trinh S., Liesbrock J., et al. 2019. “The Reduction of Astrocytes and Brain Volume Loss in Anorexia Nervosa‐The Impact of Starvation and Refeeding in a Rodent Model.” Translational Psychiatry 9, no. 1: 159. 10.1038/s41398-019-0493-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gabloffsky, T. , Gill S., Staffeld A., et al. 2022. “Food Restriction in Mice Induces Food‐Anticipatory Activity and Circadian‐Rhythm‐Related Activity Changes.” Nutrients 14, no. 24: 5252. 10.3390/nu14245252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gaiaschi, L. , Priori E. C., Mensi M. M., et al. 2024. “New Perspectives on the Role of Biological Factors in Anorexia Nervosa: Brain Volume Reduction or Oxidative Stress, Which Came First?” Neurobiology of Disease 199: 106580. 10.1016/j.nbd.2024.106580. [DOI] [PubMed] [Google Scholar]
- Gaudio, S. , and Quattrocchi C. C.. 2012. “Neural Basis of a Multidimensional Model of Body Image Distortion in Anorexia Nervosa.” Neuroscience and Biobehavioral Reviews 36, no. 8: 1839–1847. 10.1016/j.neubiorev.2012.05.003. [DOI] [PubMed] [Google Scholar]
- Genc, S. , Raven E. P., Drakesmith M., Blakemore S.‐J., and Jones D. K.. 2023. “Novel Insights Into Axon Diameter and Myelin Content in Late Childhood and Adolescence.” Cerebral Cortex 33, no. 10: 6435–6448. 10.1093/cercor/bhac515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gibson, D. , Watters A., Cost J., Mascolo M., and Mehler P. S.. 2020. “Extreme Anorexia Nervosa: Medical Findings, Outcomes, and Inferences From a Retrospective Cohort.” Journal of Eating Disorders 8, no. 1: 25. 10.1186/s40337-020-00303-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gil, M. , and Gama V.. 2023. “Emerging Mitochondrial‐Mediated Mechanisms Involved in Oligodendrocyte Development.” Journal of Neuroscience Research 101, no. 3: 354–366. 10.1002/jnr.25151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Griffiths, K. R. , Martin Monzon B., Madden S., et al. 2021. “White Matter Microstructural Differences in Underweight Adolescents With Anorexia Nervosa and a Preliminary Longitudinal Investigation of Change Following Short‐Term Weight Restoration.” In Eating and Weight Disorders—Studies on Anorexia, Bulimia and Obesity, vol. 26, 1903–1914. Springer Nature Switzerland AG. [DOI] [PubMed] [Google Scholar]
- Guo, C. , Cho K.‐S., Li Y., et al. 2018. “Igfbpl1 Regulates Axon Growth Through IGF‐1‐Mediated Signaling Cascades.” Scientific Reports 8, no. 1: 2054. 10.1038/s41598-018-20463-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hammelrath, L. , Škokić S., Khmelinskii A., et al. 2016. “Morphological Maturation of the Mouse Brain: An in Vivo MRI and Histology Investigation.” NeuroImage 125: 144–152. 10.1016/j.neuroimage.2015.10.009. [DOI] [PubMed] [Google Scholar]
- Harrison, A. , Tchanturia K., and Treasure J.. 2010. “Attentional Bias, Emotion Recognition, and Emotion Regulation in Anorexia: State or Trait?” Biological Psychiatry 68, no. 8: 755–761. 10.1016/j.biopsych.2010.04.037. [DOI] [PubMed] [Google Scholar]
- Herpertz‐Dahlmann, B. 2015. “Adolescent Eating Disorders: Update on Definitions, Symptomatology, Epidemiology, and Comorbidity.” Child and Adolescent Psychiatric Clinics of North America 24, no. 1: 177–196. 10.1016/j.chc.2014.08.003. [DOI] [PubMed] [Google Scholar]
- Hsieh, J. , Aimone J. B., Kaspar B. K., Kuwabara T., Nakashima K., and Gage F. H.. 2004. “Igf‐I Instructs Multipotent Adult Neural Progenitor Cells to Become Oligodendrocytes.” Journal of Cell Biology 164, no. 1: 111–122. 10.1083/jcb.200308101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hurley, M. M. , Murlanova K., Macias L. K., et al. 2021. “Activity‐Based Anorexia Disrupts Systemic Oxidative State and Induces Cortical Mitochondrial Fission in Adolescent Female Rats.” International Journal of Eating Disorders 54, no. 4: 639–645. 10.1002/eat.23453. [DOI] [PubMed] [Google Scholar]
- Janowska, J. , Gargas J., Ziemka‐Nalecz M., Zalewska T., and Sypecka J.. 2020. “Oligodendrocyte Response to Pathophysiological Conditions Triggered by Episode of Perinatal Hypoxia‐Ischemia: Role of IGF‐1 Secretion by Glial Cells.” Molecular Neurobiology 57, no. 10: 4250–4268. 10.1007/s12035-020-02015-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ježek, J. , Cooper K. F., and Strich R.. 2018. “Reactive Oxygen Species and Mitochondrial Dynamics: The Yin and Yang of Mitochondrial Dysfunction and Cancer Progression.” Antioxidants 7, no. 1: 13. 10.3390/antiox7010013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kawakami, I. , Iritani S., Riku Y., et al. 2022. “Neuropathological Investigation of Patients With Prolonged Anorexia Nervosa.” Psychiatry and Clinical Neurosciences 76, no. 5: 187–194. 10.1111/pcn.13340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keeler, J. , Lambert E., Olivola M., et al. 2021. “Lower Pattern Recognition Memory Scores in Anorexia Nervosa.” Journal of Eating Disorders 9, no. 1: 49. 10.1186/s40337-021-00406-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keeler, J. L. , Robinson L., Keeler‐Schäffeler R., Dalton B., Treasure J., and Himmerich H.. 2022. “Growth Factors in Anorexia Nervosa: A Systematic Review and Meta‐Analysis of Cross‐Sectional and Longitudinal Data.” World Journal of Biological Psychiatry 23, no. 8: 582–600. 10.1080/15622975.2021.2015432. [DOI] [PubMed] [Google Scholar]
- Kollenburg, L. , Arnts H., Green A., Strauss I., Vinke S., and Kurt E.. 2025. “The Cingulum: Anatomy, Connectivity and What Goes Beyond.” Brain Communications 7, no. 1: fcaf048. 10.1093/braincomms/fcaf048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kovalčíková, A. G. , Tichá Ľ., Šebeková K., et al. 2021. “Oxidative Status in Plasma, Urine and Saliva of Girls With Anorexia Nervosa and Healthy Controls: A Cross‐Sectional Study.” Journal of Eating Disorders 9, no. 1: 54. 10.1186/s40337-021-00408-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kron, L. , Katz J. L., Gorzynski G., and Weiner H.. 1978. “Hyperactivity in Anorexia Nervosa: A Fundamental Clinical Feature.” Comprehensive Psychiatry 19, no. 5: 433–440. 10.1016/0010-440X(78)90072-X. [DOI] [PubMed] [Google Scholar]
- Laczkovics, C. , Nenning K.‐H., Wittek T., et al. 2022. “White Matter Integrity Is Disrupted in Adolescents With Acute Anorexia Nervosa: A Diffusion Tensor Imaging Study.” Psychiatry Research: Neuroimaging 320: 111427. 10.1016/j.pscychresns.2021.111427. [DOI] [PubMed] [Google Scholar]
- Lebel, C. , and Deoni S.. 2018. “The Development of Brain White Matter Microstructure.” NeuroImage 182: 207–218. 10.1016/j.neuroimage.2017.12.097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lüders, K. A. , Nessler S., Kusch K., et al. 2019. “Maintenance of High Proteolipid Protein Level in Adult Central Nervous System Myelin Is Required to Preserve the Integrity of Myelin and Axons.” Glia 67, no. 4: 634–649. 10.1002/glia.23549. [DOI] [PubMed] [Google Scholar]
- Maier, S. , Joos A., van Tebartz Elst L., et al. 2022. “Reduced Structural Connectivity in the Corpus Callosum in Patients With Anorexia Nervosa.” European Eating Disorders Review 30, no. 4: 341–352. 10.1002/erv.2894. [DOI] [PubMed] [Google Scholar]
- Martin, F. 1958. “Pathologie Des Aspects Neurologiques et Psychiatriques de Quelques Manifestations Carentielles Avec Troubles Digestifs et Neuro‐Endocriniens [Pathology of the Neurological & Psychiatric Aspects of Various Manifestations of Deficiency Diseases With Digestive & Neuro‐Endocrine Disorders].” Praxis 47, no. 8: 197–200. [PubMed] [Google Scholar]
- Mason, J. L. , Ye P., Suzuki K., D'Ercole A. J., and Matsushima G. K.. 2000. “Insulin‐Like Growth Factor‐1 Inhibits Mature Oligodendrocyte Apoptosis During Primary Demyelination.” Journal of Neuroscience 20, no. 15: 5703–5708. 10.1523/JNEUROSCI.20-15-05703.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCormick, L. M. , Keel P. K., Brumm M. C., et al. 2008. “Implications of Starvation‐Induced Change in Right Dorsal Anterior Cingulate Volume in Anorexia Nervosa.” International Journal of Eating Disorders 41, no. 7: 602–610. 10.1002/eat.20549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mei, F. , Wang H., Liu S., et al. 2013. “Stage‐Specific Deletion of Olig2 Conveys Opposing Functions on Differentiation and Maturation of Oligodendrocytes.” Journal of Neuroscience 33, no. 19: 8454–8462. 10.1523/JNEUROSCI.2453-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meschkat, M. , Steyer A. M., Weil M.‐T., et al. 2022. “White Matter Integrity in Mice Requires Continuous Myelin Synthesis at the Inner Tongue.” Nature Communications 13, no. 1: 1163. 10.1038/s41467-022-28720-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meyer, J. N. , Leuthner T. C., and Luz A. L.. 2017. “Mitochondrial Fusion, Fission, and Mitochondrial Toxicity.” Toxicology 391: 42–53. 10.1016/j.tox.2017.07.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miles, A. E. , Kaplan A. S., French L., and Voineskos A. N.. 2020. “White Matter Microstructure in Women With Acute and Remitted Anorexia Nervosa: An Exploratory Neuroimaging Study.” Brain Imaging and Behavior 14, no. 6: 2429–2437. 10.1007/s11682-019-00193-6. [DOI] [PubMed] [Google Scholar]
- Miskovic‐Wheatley, J. , Bryant E., Ong S. H., et al. 2023. “Eating Disorder Outcomes: Findings From a Rapid Review of Over a Decade of Research.” Journal of Eating Disorders 11, no. 1: 85. 10.1186/s40337-023-00801-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Misra, M. , and Klibanski A.. 2016. “Anorexia Nervosa and Its Associated Endocrinopathy in Young People.” Hormone Research in Pædiatrics 85, no. 3: 147–157. 10.1159/000443735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mond, J. , and Gorrell S.. 2021. ““Excessive Exercise” in Eating Disorders Research: Problems of Definition and Perspective.” In Eating and Weight Disorders—Studies on Anorexia, Bulimia and Obesity, vol. 26, 1017–1020. Springer Nature Switzerland AG. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moskowitz, L. , and Weiselberg E.. 2017. “Anorexia Nervosa/Atypical Anorexia Nervosa.” Current Problems in Pediatric and Adolescent Health Care 47, no. 4: 70–84. 10.1016/j.cppeds.2017.02.003. [DOI] [PubMed] [Google Scholar]
- Murray, S. B. , Cabeen R. P., Jann K., Tadayonnejad R., Strober M., and Feusner J. D.. 2023. “White Matter Microstructure in Habit and Reward Circuits in Anorexia Nervosa: Insights From a Neurite Orientation Dispersion and Density Imaging Study.” Acta Psychiatrica Scandinavica 147, no. 2: 134–144. 10.1111/acps.13521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Neumärker, K. J. , Dudeck U., Meyer U., Neumärker U., Schulz E., and Schönheit B.. 1997. “Anorexia Nervosa and Sudden Death in Childhood: Clinical Data and Results Obtained From Quantitative Neurohistological Investigations of Cortical Neurons.” European Archives of Psychiatry and Clinical Neuroscience 247, no. 1: 16–22. 10.1007/BF02916248. [DOI] [PubMed] [Google Scholar]
- Nickel, K. , van Tebartz Elst L., Holovics L., et al. 2019. “White Matter Abnormalities in the Corpus Callosum in Acute and Recovered Anorexia Nervosa Patients‐A Diffusion Tensor Imaging Study.” Frontiers in Psychiatry 10: 490. 10.3389/fpsyt.2019.00490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nobis, S. , Goichon A., Achamrah N., et al. 2018. “Alterations of Proteome, Mitochondrial Dynamic and Autophagy in the Hypothalamus During Activity‐Based Anorexia.” Scientific Reports 8, no. 1: 7233. 10.1038/s41598-018-25548-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pappaianni, E. , Borsarini B., Doucet G. E., Hochman A., Frangou S., and Micali N.. 2022. “Initial Evidence of Abnormal Brain Plasticity in Anorexia Nervosa: An Ultra‐High Field Study.” Scientific Reports 12, no. 1: 2589. 10.1038/s41598-022-06113-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paxinos, G. , and Franklin K. B. J.. 2001. The Mouse Brain in Stereotaxic Coordinates. 2nd ed. Academic Press. [Google Scholar]
- Pozo Devoto, V. M. , Onyango I. G., and Stokin G. B.. 2022. “Mitochondrial Behavior When Things Go Wrong in the Axon.” Frontiers in Cellular Neuroscience 16: 959598. 10.3389/fncel.2022.959598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Psachoulia, K. , Jamen F., Young K. M., and Richardson W. D.. 2009. “Cell Cycle Dynamics of NG2 Cells in the Postnatal and Ageing Brain.” Neuron Glia Biology 5, no. 3–4: 57–67. 10.1017/S1740925X09990354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reddy, P. V. , Das A., and Sastry P. S.. 1979. “Quantitative and Compositional Changes in Myelin of Undernourished and Protein Malnourished Rat Brains.” Brain Research 161, no. 2: 227–235. 10.1016/0006-8993(79)90065-9. [DOI] [PubMed] [Google Scholar]
- Reyes‐Ortega, P. , Ragu Varman D., Rodríguez V. M., and Reyes‐Haro D.. 2020. “Anorexia Induces a Microglial Associated Pro‐Inflammatory Environment and Correlates With Neurodegeneration in the Prefrontal Cortex of Young Female Rats.” Behavioural Brain Research 392: 112606. 10.1016/j.bbr.2020.112606. [DOI] [PubMed] [Google Scholar]
- Rinholm, J. E. , Hamilton N. B., Kessaris N., Richardson W. D., Bergersen L. H., and Attwell D.. 2011. “Regulation of Oligodendrocyte Development and Myelination by Glucose and Lactate.” Journal of Neuroscience 31, no. 2: 538–548. 10.1523/JNEUROSCI.3516-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rone, M. B. , Cui Q.‐L., Fang J., et al. 2016. “Oligodendrogliopathy in Multiple Sclerosis: Low Glycolytic Metabolic Rate Promotes Oligodendrocyte Survival.” Journal of Neuroscience 36, no. 17: 4698–4707. 10.1523/JNEUROSCI.4077-15.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Royland, J. , Klinkhachorn P., Konat G., and Wiggins R. C.. 1992. “How Much Undernourishment Is Required to Retard Brain Myelin Development.” Neurochemistry International 21, no. 2: 269–274. 10.1016/0197-0186(92)90157-M. [DOI] [PubMed] [Google Scholar]
- Rye, C. S. , Amorim F. E., Ward L. H., and Milton A. L.. 2025. “Reward Contamination in Restrictive Anorexia Nervosa: A Meta‐Analysis of Functional MRI Studies.” Pharmacology Biochemistry and Behavior 252: 174031. 10.1101/2025.04.06.25325338. [DOI] [PubMed] [Google Scholar]
- Sainio, M. T. , Rasila T., Molchanova S. M., et al. 2021. “Neurofilament Light Regulates Axon Caliber, Synaptic Activity, and Organelle Trafficking in Cultured Human Motor Neurons.” Frontiers in Cell and Developmental Biology 9: 820105. 10.3389/fcell.2021.820105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoenfeld, R. , Wong A., Silva J., et al. 2010. “Oligodendroglial Differentiation Induces Mitochondrial Genes and Inhibition of Mitochondrial Function Represses Oligodendroglial Differentiation.” Mitochondrion 10, no. 2: 143–150. 10.1016/j.mito.2009.12.141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seitz, J. , Konrad K., and Herpertz‐Dahlmann B.. 2018. “Extend, Pathomechanism and Clinical Consequences of Brain Volume Changes in Anorexia Nervosa.” Current Neuropharmacology 16, no. 8: 1164–1173. 10.2174/1570159X15666171109145651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Silén, Y. , and Keski‐Rahkonen A.. 2022. “Worldwide Prevalence of DSM‐5 Eating Disorders Among Young People.” Current Opinion in Psychiatry 35, no. 6: 362–371. 10.1097/YCO.0000000000000818. [DOI] [PubMed] [Google Scholar]
- Solmi, M. , Veronese N., Luchini C., et al. 2016. “Oxidative Stress and Antioxidant Levels in Patients With Anorexia Nervosa After Oral re‐Alimentation: A Systematic Review and Exploratory Meta‐Analysis.” European Eating Disorders Review 24, no. 2: 101–105. 10.1002/erv.2420. [DOI] [PubMed] [Google Scholar]
- Spero, V. , Scherma M., D'Amelio S., et al. 2024. “Activity‐Based Anorexia (ABA) Model: Effects on Brain Neuroinflammation, Redox Balance and Neuroplasticity During the Acute Phase.” Neurochemistry International 180: 105842. 10.1016/j.neuint.2024.105842. [DOI] [PubMed] [Google Scholar]
- Staffeld, A. , Gill S., Zimmermann A., et al. 2023. “Establishment of a Murine Chronic Anorexia Nervosa Model.” Cells 12, no. 13: 1710. 10.3390/cells12131710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tábara, L.‐C. , Segawa M., and Prudent J.. 2025. “Molecular Mechanisms of Mitochondrial Dynamics.” Nature Reviews Molecular Cell Biology 26, no. 2: 123–146. 10.1038/s41580-024-00785-1. [DOI] [PubMed] [Google Scholar]
- Takahashi, M. , Ono J., Harada K., Maeda M., and Hackney D. B.. 2000. “Diffusional Anisotropy in Cranial Nerves With Maturation: Quantitative Evaluation With Diffusion MR Imaging in Rats.” Radiology 216, no. 3: 881–885. 10.1148/radiology.216.3.r00se41881. [DOI] [PubMed] [Google Scholar]
- Travis, K. E. , Golden N. H., Feldman H. M., et al. 2015. “Abnormal White Matter Properties in Adolescent Girls With Anorexia Nervosa.” NeuroImage. Clinical 9: 648–659. 10.1016/j.nicl.2015.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tripathi, R. B. , Jackiewicz M., McKenzie I. A., Kougioumtzidou E., Grist M., and Richardson W. D.. 2017. “Remarkable Stability of Myelinating Oligodendrocytes in Mice.” Cell Reports 21, no. 2: 316–323. 10.1016/j.celrep.2017.09.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Uotani, N. , Noma S., Akamine M., and Miyawaki T.. 2022. “Continuous Glucose Monitoring for Detection of Glycemic Variability, Hypoglycemia, and Hyperglycemia in Women With Eating Disorders.” BioPsychoSocial Medicine 16, no. 1: 22. 10.1186/s13030-022-00251-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Eeden, A. E. , Hoeken D., and Hoek H. W.. 2021. “Incidence, Prevalence and Mortality of Anorexia Nervosa and Bulimia Nervosa.” Current Opinion in Psychiatry 34, no. 6: 515–524. 10.1097/YCO.0000000000000739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verspohl, V. , van Egmond M., Kneisel L., et al. 2025. “Chronic Starvation Induces Microglial Cell Depletion in an Activity‐Based Anorexia Model.” Scientific Reports 15, no. 1: 14132. 10.1038/s41598-025-98237-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- von Schwanenflug, N. , Müller D. K., King J. A., et al. 2019. “Dynamic Changes in White Matter Microstructure in Anorexia Nervosa: Findings From a Longitudinal Study.” Psychological Medicine 49, no. 9: 1555–1564. 10.1017/S003329171800212X. [DOI] [PubMed] [Google Scholar]
- Walton, E. , Bernardoni F., Batury V.‐L., et al. 2022. “Brain Structure in Acutely Underweight and Partially Weight‐Restored Individuals With Anorexia Nervosa: A Coordinated Analysis by the ENIGMA Eating Disorders Working Group.” Biological Psychiatry 92, no. 9: 730–738. 10.1016/j.biopsych.2022.04.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wiggins, R. C. , Benjamins J. A., Krigman M. R., and Morell P.. 1974. “Synthesis of Myelin Proteins During Starvation.” Brain Research 80, no. 2: 345–349. 10.1016/0006-8993(74)90698-2. [DOI] [PubMed] [Google Scholar]
- Yan, H. , and Rivkees S. A.. 2006. “Hypoglycemia Influences Oligodendrocyte Development and Myelin Formation.” Neuroreport 17, no. 1: 55–59. 10.1097/01.wnr.0000192733.00535.b6. [DOI] [PubMed] [Google Scholar]
- Yeung, M. S. Y. , Zdunek S., Bergmann O., et al. 2014. “Dynamics of Oligodendrocyte Generation and Myelination in the Human Brain.” Cell 159, no. 4: 766–774. 10.1016/j.cell.2014.10.011. [DOI] [PubMed] [Google Scholar]
- Young, K. M. , Psachoulia K., Tripathi R. B., et al. 2013. “Oligodendrocyte Dynamics in the Healthy Adult CNS: Evidence for Myelin Remodeling.” Neuron 77, no. 5: 873–885. 10.1016/j.neuron.2013.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yusuf, H. K. , Haque Z., and Mozaffar Z.. 1981. “Effect of Malnutrition and Subsequent Rehabilitation on the Development of Mouse Brain Myelin.” Journal of Neurochemistry 36, no. 3: 924–930. 10.1111/j.1471-4159.1981.tb01683.x. [DOI] [PubMed] [Google Scholar]
- Zgheib, S. , Méquinion M., Lucas S., et al. 2014. “Long‐Term Physiological Alterations and Recovery in a Mouse Model of Separation Associated With Time‐Restricted Feeding: A Tool to Study Anorexia Nervosa Related Consequences.” PLoS One 9, no. 8: e103775. 10.1371/journal.pone.0103775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang, S. , Wang W., Su X., et al. 2020. “White Matter Abnormalities in Anorexia Nervosa: Psychoradiologic Evidence From Meta‐Analysis of Diffusion Tensor Imaging Studies Using Tract Based Spatial Statistics.” Frontiers in Neuroscience 14: 159. 10.3389/fnins.2020.00159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zheng, F. , Jia B., Dong F., et al. 2019. “Glucose Starvation Induces Mitochondrial Fragmentation Depending on the Dynamin GTPase Dnm1/Drp1 in Fission Yeast.” Journal of Biological Chemistry 294, no. 47: 17725–17734. 10.1074/jbc.RA119.010185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zimmermann, A. , Böge N., Schuster K., et al. 2023. “Glial Cell Changes in the Corpus Callosum in Chronically‐Starved Mice.” Journal of Eating Disorders 11, no. 1: 227. 10.1186/s40337-023-00948-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zimmermann, A. , Rupprecht H., Lang S., et al. 2025. “Increased Serum Neurofilament Light Chain Concentration Associated With Microglial Morphology Changes in Chronically‐Starved Mice.” International Journal of Eating Disorders 58: 1130–1143. 10.1002/eat.24423. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1: Supporting Information.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
