Visual Distortion Research Articles

Robust underwater object tracking with image enhancement and two-step feature compression

Developing a robust algorithm for underwater object tracking (UOT) is crucial to support the sustainable development and utilization of marine resources. In addition to open-air tracking challenges, the visual object tracking (VOT) task presents further difficulties in underwater environments due to visual distortions, color cast issues, and low-visibility conditions. To address these challenges, this study introduces a novel underwater target tracking framework based on correlation filter (CF) with image enhancement and a two-step feature compression mechanism. Underwater image enhancement mitigates the impact of visual distortions and color cast issues on target appearance modeling, while the two-step feature compression strategy addresses low-visibility conditions by compressing redundant features and combining multiple compressed features based on the peak-to-sidelobe ratio (PSR) indicator for accurate target localization. The excellent performance of the proposed method is demonstrated through evaluation on two public UOT datasets.

PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement

Light scattering and attenuation in water degrade underwater images with low visibility and color distortion, which often interfere with the high-level visual tasks of underwater autonomous robots. Most existing deep learning methods for underwater image enhancement only supervise the final output of network and ignore the promotion effect of the intermediate results on the final feature representation. These supervision methods affect the feature representation ability, network efficiency, and ability. In this paper, we present a novel idea of multiple-stage supervision to guide the network to learn useful features correctly and progressively. With this idea, we propose a pixel-wise Progressive Guided Network (PGN) for underwater image enhancement to take advantage of the network’s intermediate results and promote the final enhancement effect. The Pixel-Wise Attention Module is designed by introducing supervision in each stage to progressively promote the representation ability of the features and the recovered image quality. The experimental results on several datasets demonstrate that our method outperforms recent state-of-the-art underwater image enhancement methods.

IMPLEMENTASI TEKNIK MENGHARDIK PADA KLIEN DENGAN HALUSINASI PENDENGARAN DI RUMAH SAKIT Dr. RADJIMAN WEDIODININGRAT

Auditory hallucinations are an individual mental disorder characterized by changes in sensory perception. Sufferers actually experience sensory distortion and feel false sensations in the form of sounds that the client actually feels do not exist. Hallucinations can be prevented by teaching clients to control hallucinations by implementing implementation strategies by rebuking hallucinations. Aim of this case study is to prevent hallucinations through implementing the Rebuke Technique at the Dr. Radjiman Wediodiningrat Hospital. Method used is a descriptive case study in the form of an in-depth case study on hallucinating clients by means of interviews, observation, physical examination, documentation studies, and providing nursing care to hallucinating clients by implementing the implementation of the Rebuke Technique. The Rebuke Technique nursing care was implemented for 15 minutes, carried out from April 16 to April 18, 2024. Evaluation was carried out on the third day. The results show that before being given nursing care to hallucinating clients through the Rebuke Technique, the client was unable to control the hallucinations, and after being given the implementation of the rebuke technique, the client was able to control the hallucinations. Implementation of the rebuke technique can control hallucinations after treatment for 3x24 hours. Advice as a family is to understand the prevention of hallucinations using the Rebuke Technique so that you can make efforts to deal with hallucinations at home.

Enhancing Data Security through Digital Image Steganography: An Implementation of the Two Least Significant Bits (2LSB) Method

The rapid advancement of digital communication technologies has heightened the demand for robust data security methods, particularly for safeguarding sensitive information against cyber threats. Steganography, the art of concealing data within digital media, offers an effective means of securing communication by masking the very existence of hidden messages. This study evaluates the Two Least Significant Bits (2LSB) method as an enhancement to the conventional Least Significant Bit (LSB) technique, focusing on improving storage capacity and resistance to detection. The research employs a quantitative methodology, conducting experiments to analyze the impact of data embedding on image quality using metrics such as Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). Data embedding was tested on images of varying sizes and resolutions, with results compared before and after embedding. The study also evaluates the system’s tolerance to compression and robustness against steganalysis attacks, such as histogram analysis and noise detection. The results demonstrate that the 2LSB method significantly enhances storage capacity while maintaining high image quality. For instance, PSNR values remained above 40 dB across all tested images, indicating minimal visual distortion. The method also showed resilience to lossless compression formats such as PNG, with minimal impact on data integrity. However, lossy compression formats like JPEG posed challenges in maintaining the embedded data. The MSE values before and after embedding were minor, ensuring that the hidden data remained undetectable under standard analysis. This research contributes to developing more efficient and secure steganography techniques, providing practical applications in protecting sensitive data during transmission. The findings underline the 2LSB method's potential as a viable solution for digital security, balancing enhanced storage capacity with robust resistance to detection. Future work should further explore integrating advanced encryption with 2LSB to strengthen data protection in diverse digital environments

Sensitization and Habituation of Hyper-Excitation to Constant Presentation of Pattern-Glare Stimuli.

Pattern glare, associated with cortical hyperexcitability, induces visual distortions and discomfort, particularly in individuals susceptible to migraines or epilepsy. While previous research has primarily focused on transient EEG responses to patterned stimuli, this study aims to investigate how continuous presentation of pattern-glare stimuli affects neural adaptation over both fine (seconds) and coarse (entire experiment) temporal scales. EEG recordings were obtained from 40 healthy participants exposed to horizontal square-wave gratings at three spatial frequencies presented continuously for three seconds each across multiple trials. Participants' susceptibility to visual stress, headaches, and discomfort was assessed using questionnaires before and during the experiment. The experiment employed a two-by-two design to evaluate habituation (exponentially decreasing response) and sensitisation (exponentially increasing response) effects at two different time granularities. Mass univariate analysis with cluster-based permutation tests was conducted to identify significant brain response changes during the period of constant stimulation, which we call the DC-shift period. Significant effects were observed during the DC-shift period, indicating sustained hyper-excitation to the medium-pattern glare stimulus. In particular, the mean/intercept analysis revealed a consistent positive-going response to the medium stimulus throughout the DC-shift period, suggesting continued neural engagement. Participants reporting higher discomfort exhibited sensitisation at fine temporal granularity and habituation at coarser temporal granularity. These effects were predominantly localised to the right posterior scalp regions. The study demonstrates that individuals sensitive to pattern-glare stimuli exhibit dynamic neural adaptation characterised by short-term sensitisation and long-term habituation. These findings enhance the understanding of cortical hyperexcitability mechanisms and may inform future interventions for visual-stress-related conditions, such as migraines and epilepsy. Further research is needed to explore the underlying neural processes and validate these effects in clinical populations.

Are perceptions of the psychotherapist affected by the audiovisual quality of a teletherapy session?

Objective Remote forms of psychotherapy became more common during the COVID-19 pandemic, increasing the importance of understanding how technological factors might affect remote treatment. Past research on other modes of communication suggests that perceptions can be influenced when the audiovisual quality of online communication is distorted. The aim of the current research was to examine the potential influence of visual or audio distortions during online therapy. Method 263 participants judged the interpersonal characteristics and skill of a psychotherapist after viewing segments of treatment sessions in either a video or audio-only format and where the presentation was either clear or distorted. Results Contrary to expectations, participants who viewed a poorer quality version of a therapy segment perceived the therapist to have more positive interpersonal characteristics than those who saw a segment of higher quality. There was no reliable difference in perception of the therapist’s skill as a function of segment quality. Conclusion The findings from the study suggest that perceptions of a therapist are not adversely affected if the video or audio quality of a remote therapy session is less than ideal. Therefore, these technical aspects of online treatment may not need to be a top concern.

Hierarchical flow learning for low-light image enhancement

Low-light images often have defects such as low visibility, low contrast, high noise, and high color distortion compared with well-exposed images. If the low-light region of an image is enhanced directly, the noise will inevitably blur the whole image. Besides, according to the retina-and-cortex (retinex) theory of color vision, the reflectivity of different image regions may differ, limiting the enhancement performance of applying uniform operations to the entire image. Therefore, we design a Hierarchical Flow Learning (HFL) framework, which consists of a Hierarchical Image Network (HIN) and a normalized invertible Flow Learning Network (FLN). HIN can extract hierarchical structural features from low-light images, while FLN maps the distribution of normally exposed images to a Gaussian distribution using the learned hierarchical features of low-light images. In subsequent testing, the reversibility of FLN allows inferring and obtaining enhanced low-light images. Specifically, the HIN extracts as much image information as possible from three scales, local, regional, and global, using a Triple-branch Hierarchical Fusion Module (THFM) and a Dual-Dconv Cross Fusion Module (DCFM). The THFM aggregates regional and global features to enhance the overall brightness and quality of low-light images by perceiving and extracting more structure information, whereas the DCFM uses the properties of the activation function and local features to enhance images at the pixel-level to reduce noise and improve contrast. In addition, in this paper, the model was trained using a negative log-likelihood loss function. Qualitative and quantitative experimental results demonstrate that our HFL can better handle many quality degradation types in low-light images compared with state-of-the-art solutions. The HFL model enhances low-light images with better visibility, less noise, and improved contrast, suitable for practical scenarios such as autonomous driving, medical imaging, and nighttime surveillance. Outperforming them by PSNR = 27.26 dB, SSIM = 0.93, and LPIPS = 0.10 on benchmark dataset LOL-v1. The source code of HFL is available at https://github.com/Smile-QT/HFL-for-LIE.

Persistent visual field deficit after half-fluence photodynamic therapy for chronic central serous chorioretinopathy.

To report a rare case of a persistent paracentral scotoma after half-fluence photodynamic therapy for chronic central serous chorioretinopathy. A 65-year-old man with a history of chronic central serous chorioretinopathy presented with a temporal paracentral visual distortion one week after undergoing repeat off-label treatment with half-fluence verteporfin photodynamic therapy for recurrent intraretinal fluid exudation in the right eye. Fundus photography, fundus autofluorescence, optical coherence tomography, fluorescein angiography, indocyanine green angiography, and automatic visual field testing were obtained. Humphrey visual field 10-2 demonstrated a focal temporal paracentral area of reduced sensitivity, which remained persistent on repeat testing up to 9 months. OCT macula and fluorescein angiography demonstrated subtle corresponding changes in the nasal macula, while indocyanine green angiography demonstrated no visible alteration in choroidal perfusion. Symptomatic scotoma in the location of laser treatment may be a rare complication of verteporfin photodynamic therapy even at reduced fluence, in the setting of repeat treatment in the same location, and may be identified and monitored with automated 10-2 visual field testing.

“The mushroom was more alive and vibrant”: Patient reports of synthetic versus organic forms of psilocybin

AbstractInterest in psychedelic research in the West is surging, however, clinical trials have almost exclusively studied synthetic compounds such as MDMA, ketamine, DMT, LSD, ibogaine, and psilocybin. To date, few clinical trials have utilized whole mushroom/plant material like Psilocybe mushrooms, Iboga, or Ayahuasca. Individuals participating in the Roots To Thrive Psilocybin-Assisted Therapy for End of Life Distress program were administered synthetic psilocybin, whole Psilocybe cubensis, and mycological extract on separate occasions and post-treatment interview transcripts were qualitatively analyzed to discern themes and patterns. There was broad consensus that all three forms were helpful and similar, all generating visual and perceptual distortions, emotional and cognitive insight, and mystical experiences. However, synthetic psilocybin was said to feel less natural compared to organic forms, and the overall quality of experience of synthetic psilocybin was inferior to the organic forms. Research should be conducted with whole psychedelic mushrooms and extract in addition to synthetic psilocybin given this preliminary data, especially when considering that medicine keepers around the world have utilized whole mushrooms and plant material for millennia.

Indoor Pedestrian Positioning Method Based on Ultra-Wideband with a Graph Convolutional Network and Visual Fusion.

To address the challenges of low accuracy in indoor positioning caused by factors such as signal interference and visual distortions, this paper proposes a novel method that integrates ultra-wideband (UWB) technology with visual positioning. In the UWB positioning module, the powerful feature-extraction ability of the graph convolutional network (GCN) is used to integrate the features of adjacent positioning points and improve positioning accuracy. In the visual positioning module, the residual results learned from the bidirectional gate recurrent unit (Bi-GRU) network are compensated into the mathematical visual positioning model's solution results to improve the positioning results' continuity. Finally, the two positioning coordinates are fused based on particle filter (PF) to obtain the final positioning results and improve the accuracy. The experimental results show that the positioning accuracy of the proposed UWB positioning method based on a GCN is less than 0.72 m in a single UWB positioning, and the positioning accuracy is improved by 55% compared with the Chan-Taylor algorithm. The proposed visual positioning method based on Bi-GRU and residual fitting has a positioning accuracy of 0.42 m, 71% higher than the Zhang Zhengyou visual positioning algorithm. In the fusion experiment, 80% of the positioning accuracy is within 0.24 m, and the maximum error is 0.66 m. Compared with the single UWB and visual positioning, the positioning accuracy is improved by 56% and 52%, respectively, effectively enhancing indoor pedestrian positioning accuracy.

Under the surface: paranoid and unusual thought content are associated with depressive symptoms and suicidal ideation in adolescents entering psychiatric care

ABSTRACT Background Psychotic Like Experiences (PLEs), suicidal ideation, and depressive symptoms are related and common symptoms in adolescents treated in psychiatric services. However, more granular analysis of the associations between the two types of symptoms is sparse. This study aims to investigate the associations between self-reported PLEs and depressive symptoms on a sub-scale and item level, among adolescents attending secondary level psychiatric care. Methods The sample included 328 adolescents (aged 13–18 years) attending adolescent psychiatry outpatient units of the Helsinki University Hospital. Depressive symptoms were assessed using the BDI-1A (total score and separate Suicidal Ideation item score). PLEs were assessed with the PQ-B and analysed as sum scores for the sub-scales Sensory Distortion, Grandiosity, Disorganised Speech, Paranoia, and Unusual Thoughts. Results High scores on PQ-B subscales Paranoia and Unusual Thoughts were both independently associated with more depression and suicidality. Item analysis showed that the associations between PLEs and depression were driven by two PQ-B Paranoia subscale items, and one Unusual Thoughts subscale item. Discussion The findings suggest that the association between PLEs and depressive symptoms is driven by paranoid experiences and unusual thought content. Professionals in psychiatric care should expect this type of co-occurrence.

Alice in Wonderland Syndrome in Children With Severe Acute Respiratory Syndrome SARS-CoV-2 Infection: A Case Series of Two Patients in an Italian Hospital

BackgroundAlice in Wonderland syndrome (AIWS) is a disorienting neurological condition that affects human perception to the senses of vision, hearing, touch, and sensation and the phenomenon of time. Herein we report two pediatric cases of AIWS temporally related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Case presentationAn eight-year-old-girl without history of migraine or epilepsy experienced some episodes of visual distortions (micropsia, macropsia, and teleopsia) and misperception of sound, sometimes associated with headache. The onset of symptoms began at the occurrence of fever (38°C), during SARS-CoV-2 infection. Another six-year-old girl, with no history of migraine or epilepsy, experienced short-term episodes of visual (metamorphopsia) and color disturbance (chromatopsia), during an otherwise asymptomatic SARS-CoV-2 infection. In both cases, clinical examination was unremarkable; surface electroencephalography showed normal findings, without any correlation between visual phenomena and cortical activity; and brain magnetic resonance was normal. The patients were given symptomatic treatment, consisting of anti-inflammatory drugs on demand. The frequency of episodes decreased progressively following a negative SARS-CoV-2 test, with full remission in a few weeks. At the moment of hospital admission, none of the patients had completed the two-dose vaccination schedule for SARS-CoV-2. ConclusionBased on our clinical experience, we believe SARS-CoV-2 may be responsible for AIWS, in addition to other neurological symptoms more frequently documented in the literature. Pathogenesis is multifactorial and arises from the activation of inflammatory pathways. We therefore suggest also searching for SARS-CoV-2, among other viruses linked with AIWS, in children presenting with visual and/or auditory hallucinations, even as isolated symptoms.

Content-Aware Selective Encryption for H.265/HEVC using Deep Hashing Network and Steganography

Existing selective encryption schemes for High Efficiency Video Coding (HEVC) only focus on the encoding characteristics of syntax elements in entropy coding and lack an understanding of the video content. Consequently, a large amount of unnecessary encryption operations are utilized to protect insensitive video frames, resulting in low encryption efficiency. In this paper, we propose a content-aware selective encryption scheme for H.265/HEVC, which encrypts only the groups of pictures (GOPs) containing sensitive content and thus offers high efficiency. In our scheme, a deep hashing network is first adopted to retrieve video frames to determine the content-sensitive GOPs. Then, multiple prediction and residual syntax elements in sensitive GOPs are encrypted using a keystream sequence generated by the hyperchaotic Lorenz system. In addition, the direct current coefficient of each \(4\times 4\) transform block is exchanged with a pseudo-randomly selected non-zero alternating current coefficient to further offer stronger visual distortion. Finally, the sign bits used for marking each GOP-type are reversibly embedded into the encrypted syntax elements to facilitate the decoder to distinguish the GOPs that need to be decrypted. Experimental results indicate that the proposed content-aware selective encryption scheme can efficiently protect sensitive content and is robust against all common attacks. Furthermore, it outperforms other state-of-the-art HEVC selective encryption algorithms in terms of security performance.

Idiopathic intracranial hypertension in a patient with a history of migraine: a case report

IntroductionIdiopathic intracranial hypertension (IIH) is marked by elevated intracranial pressure without a known cause, often affecting women of childbearing age and linked to obesity. Diagnosing IIH can be tricky, especially in patients with chronic headaches like migraines. This report discusses a case of IIH in a long-term migraine sufferer, stressing the importance of early detection and effective treatment.Case ReportA 44-year-old woman with migraines since menarche sought medical help in August 2021 due to more frequent and intense headaches, occurring three times a week with light and sound sensitivity and nausea. An MRI in September 2021 showed rare anomalies. Initially treated with topiramate and nortriptyline, her headaches decreased to twice a month by May 2022. However, in November 2022, an ophthalmologist found bilateral papilledema, and she reported retroocular pain and transient visual obscurations. A lumbar puncture confirmed IIH with an opening pressure of 32.5 cmH2O, and she was prescribed acetazolamide. Despite some headache relief, she experienced nausea and visual distortions. Adjustments in her medication and a five-kilogram weight loss improved her symptoms, though issues in the left eye's visual field persisted.CommentThis case highlights the challenges of managing IIH in migraine patients. New headache patterns and visual symptoms were key to suspecting IIH, confirmed by lumbar puncture. Acetazolamide effectively reduced her intracranial pressure, while nortriptyline helped manage sleep issues. Weight loss significantly improved symptoms, emphasizing the need for a multidisciplinary approach between neurologists and ophthalmologists are for optimal care.

Alice in Wonderland syndrome or delirium? a case of a five-year-old girl with hallucinations of snakes

Alice in Wonderland syndrome was first defined by the British psychiatrist John Todd in 1955 as a disorder characterized by episodes of visual illusions, body shape, temporal and spatial distortions. Delirium is a clinical neuropsychiatric disorder showing global encephalopathic dysfunction. In this case, we will present a patient of a 5-year-old girl with the complaint of seeing snakes. Our aim is to help make a differential diagnosis between the two diseases in a patient with similar complaints.

Subjective visual sensitivity in neurotypical adults: insights from a magnetic resonance spectroscopy study.

Altered subjective visual sensitivity manifests as feelings of discomfort or overload elicited by intense and irritative visual stimuli. This can result in a host of visual aberrations including visual distortions, elementary visual hallucinations and visceral responses like dizziness and nausea, collectively referred to as "pattern glare." Current knowledge of the underlying neural mechanisms has focused on overall excitability of the visual cortex, but the individual contribution of excitatory and inhibitory systems has not yet been quantified. In this study, we focus on the role of glutamate and γ-aminobutyric acid (GABA) as potential mediators of individual differences in subjective visual sensitivity, measured by a computerized Pattern Glare Test-a series of monochromatic square-wave gratings with three different spatial frequencies, while controlling for psychological variables related to sensory sensitivity with multiple questionnaires. Resting neurotransmitter concentrations in primary visual cortex (V1) and right anterior insula were studied in 160 healthy participants using magnetic resonance spectroscopy. Data showed significant differences in the perception of visual distortions (VD) and comfort scores between men and women, with women generally reporting more VD, and therefore the modulatory effect of sex was considered in a further examination. A general linear model analysis showed a negative effect of occipital glutamate on a number of reported visual distortions, but also a significant role of several background psychological traits. When assessing comfort scores in women, an important intervening variable was the menstrual cycle. Our findings do not support that baseline neurotransmitter levels have a significant role in overreactivity to aversive stimuli in neurotypical population. However, we demonstrated that biological sex can have a significant impact on subjective responses. Based on this additional finding, we suggest that future studies investigate aversive visual stimuli while examining the role of biological sex.

On the Security of Selectively Encrypted HEVC Video Bitstreams

With the growing applications of video, ensuring its security has become of utmost importance. Selective encryption (SE) has gained significant attention in the field of video content protection due to its compatibility with video codecs, favorable visual distortion, and low time complexity. However, few studies consider SE security under cryptographic attacks. To fill this gap, we analyze the security concerns of encrypted bitstreams by SE schemes and propose two known plaintext attacks (KPAs). Then the corresponding defense is presented against the KPAs. To validate the effectiveness of the KPA, it is applied to attack two existing SE schemes with superior visual degradation in HEVC videos. Firstly, the video sequences are encoded using H.265/HEVC. During encoding, the selected syntax elements are recorded. Secondly, the recorded syntax elements are imported into the HEVC decoder. By utilizing the encryption parameters and the imported data in the decoder, it becomes possible to reconstruct a significant portion of the original syntax elements before encryption. Finally, the reconstructed syntax elements are compared with the encrypted syntax elements in the decoder, allowing the design of a pseudo-key stream (PKS) through the inverse of the encryption operations. The PKS is used to decrypt the existing SE scheme, and the experimental results provide evidence that the two existing SE schemes are vulnerable to the proposed KPAs. In the case of single bitstream estimation (SBE), the average correct rate of key stream estimation exceeds 93%. Moreover, with multi-bitstream complementation (MBC), the average estimation accuracy can be further improved to 99%.

The visibility of Eidolon distortions in things and stuff

The visibility of Eidolon distortions in things and stuff

An Automated Wavelet Scattering Network Classification Using Three Stages of Cataract Disease

إعتام عدسة العين وهو مرض يصيب العين حيث يسبب تشوهًا بصريًا ويمكن أن تؤدي المرحلة المتأخرة من هذا المرض إلى العمى. ويعتبر مرضًا صامتًا يمكن أن يحدث دون ظهور الأعراض. لذلك ، فإن الطريقة الأكثر فاعلية للكشف عن إعتام عدسة العين هي من خلال الكشف الدقيق في الوقت المناسب لمنع الأذى والعمى والعمليات المكلفة. ان الغرض من هذه البحث هو اقتراح نظام آلي يعتمد على شبكة نثر المويجات التي تصنف المرضى إلى أربع فئات: إعتام عدسة العين المبكر وإعتام عدسة العين المتوسط وإعتام عدسة العين المتأخر وعدم إعتام عدسة العين باستخدام 512 صورة لقاعدة البيانات ODIR (212 شخص مصاب و300 شخص غير مصاب). الخطوة الأولى في هذه التقنية هي خطوة المعالجة المسبقة لصورة الشبكية التي كانت عبارة عن مرشح المتوسط ، والذي تم استخدامه لتقليل ضوضاء الصورة. ثم بعد ذلك استخدام طريقة معادلة الرسم البياني التكيفية محدودة التباين (CLAHE) لتحسين مستوى عينات الصورة. بعد ذلك ، يمكن استخراج الخصائص منخفضة التباين من بيانات الصورة باستخدام شبكة تشتت المويجات لاستخدامها في تطبيقات التعلم العميق. في هذه الشبكة ، يتم استخدام مرشحات تحجيم تمرير منخفض وموجات موجية محددة مسبقًا. كان متوسط دقة الطريقة المقترحة 100٪ لأربع فئات (غير مصاب، مبكر، متوسط، شديد). علما ان النتائج موعودة مقارنة مع أعمال أخرى مماثلة.

Lost at sea: Impact of an ocean survival experience on psychological, physiological and cognitive abilities (RAD'LÔ)

Survival in an extreme environment places high physiological and cognitive demands on the individual. These environments are characterized by specific stimuli, including unusual sensory stimulation and uncertainty, which induce intense stress. Thus, the aims of this study are: i) to evaluate the impact of a five-day survival at sea simulation on human adaptive capacities, based on the assessment of psychological, cognitive, physiological, and sensorial measures; and ii) to assess recovery. Twenty-one healthy participants were enrolled in a 5-day simulation onboard a lifeboat or an inflatable raft. Psychological, physiological, sensory, and cognitive measurements were recorded before leaving (baseline), at the end of the experiment (post) and during the week that followed (recovery). Our results are unequivocal. The harshness of the environment affected the majority of the organism's responses. On the cognitive level, performance significantly deteriorated. On the psychological level, there was low mood, a decrease in subjective exteroceptive acuity and sleep disorders, increased energy, and less perceived stress. On the physiological level, a decline was recorded with respect to autonomous nervous system measurements. On the sensory level, we observed a state of hypervigilance and hypersensitivity to stimuli from the external environment. Proprioception was deeply impacted. Moreover, at recovery, many individuals did not fully recover or deteriorated further, especially regarding sleep, interoceptive abilities and sensory distortion. It appears that participants entered a state of psychological hibernation, associated with increased physical and cognitive load, and sensory hypervigilance. These results raise the question of the risks that may be incurred during future long-term space missions, as astronauts will have to maintain their cognitive performance at a high level to be able to respond to environmental demands and remain alive. It is essential to continue to explore countermeasures that will support adaptation in future spacecraft crew.