Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and muscle signals (EEG, EMG), heart rate and center of pressure (CoP) measurements during a postural control task triggered by a moving platform and a virtual reality environment. Measurements were performed on 54 professional athletes who self-reported their history of concussion or non-concussion. Both groups completed a concussion symptom scale (SCAT5) before the measurement. We analyzed biosignals and CoP parameters before and after the platform movements, to compare the net response of individual postural control. The results showed that BioVRSea discriminated between the concussion and non-concussion groups. Particularly, EEG power spectral density in delta and theta bands showed significant changes in the concussion group and right soleus median frequency from the EMG signal differentiated concussed individuals with balance problems from the other groups. Anterior–posterior CoP frequency-based parameters discriminated concussed individuals with balance problems. Finally, we used machine learning to classify concussion and non-concussion, demonstrating that combining SCAT5 and BioVRSea parameters gives an accuracy up to 95.5%. This study is a step towards quantitative assessment of concussion.

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BACKGROUND: Studies on hypopituitarism (HP) following mild traumatic brain injury (mTBI) have focused on male populations although women may be more susceptible to the sequelae of mTBI. This is, to the best of our knowledge, the first all-female study screening for HP following mTBI. OBJECTIVE: Screening for possible HP in female athletes reporting a history of one or more mTBI. METHODS: Pituitary hormone screening blood tests (SBT) were performed in 133 of the 151 female athletes included. Repeated results outside the reference value (O-RV) were considered abnormal necessitating further endocrinological evaluation. RESULTS: Repeated SBT were O-RV in 88 women (66.2%). Decreased levels of serum insulin growth factor 1 (S-IGF1) were found in 55.6% of participants and elevated levels of serum prolactin (S-prolactin) in 22.6%. Serum cortisol levels were below the RV in 6.0% and thyroid hormonal levels in 11.3%. Lower age and increased number of mTBI symptoms correlated significantly with the risk of hormonal results O-RV. CONCLUSION: The majority of the study population had SBT O-RV, warranting further workup of possible HP. Decreased levels of S-IGF1 were most commonly observed followed by elevated S-prolactin possibly indicating hypothalamic-pituitary impairment. Lower age and increased number of symptoms of mTBI may indicate the need to screen for HP.