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  • Neuroinformatics
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Sean C.L. Deoni;

    The first 1,000 days of life are increasingly viewed as laying the essential foundations for lifelong physical and mental health. Extending this age range to include childhood, that is up to 10 years of age, these early-life periods encompass the peak period of brain growth, coincide with the emergence of nearly all fundamental cognitive and behavioral skills and abilities, and overlap with the earliest onset and symptoms of a wide breadth of developmental, intellectual, and psychiatric disorders. It is increasingly recognized that altered brain development throughout this sensitive period can negatively affect cognitive and behavioral outcomes. The development of safe and noninvasive neuroimaging techniques, such as magnetic resonance imaging, has provided important new insights into patterns of early structural and functional neurodevelopment, the relationships between brain growth and emerging brain function, and the influence of environmental, genetic, and nutritional factors on shaping these brain-function relationships. In particular, nutrition is a critical and readily modifiable influence that can profoundly impact early brain maturation. Here, we overview the current understanding of early-life nutrition and its effects on the developing brain as detailed through neuroimaging.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1159/000486...
    Part of book or chapter of book . 2018 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      https://doi.org/10.1159/000486...
      Part of book or chapter of book . 2018 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Max, Kozlov;
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Naturearrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Nature
    Article . 2023 . Peer-reviewed
    License: Springer Nature TDM
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    Nature
    Article . 2023
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Naturearrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Nature
      Article . 2023 . Peer-reviewed
      License: Springer Nature TDM
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      Article . 2023
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  • Authors: Xuan-The, Tran; Thomas Tien-Thong, Do; Chin-Teng, Lin;

    Detecting concealed objects presents a significant challenge for human and artificial intelligent systems. Detecting concealed objects task necessitates a high level of human attention and cognitive effort to complete the task successfully. Thus, in this study, we use concealed objects as stimuli for our decision-making experimental paradigms to quantify participants' decision-making performance. We applied a deep learning model, Bi-directional Long Short Term Memory (BiLSTM), to predict the participant's decision accuracy by using their electroencephalogram (EEG) signals as input. The classifier model demonstrated high accuracy, reaching 96.1% with an epoching time range of 500 ms following the stimulus event onset. The results revealed that the parietal-occipital brain region provides highly informative information for the classifier in the concealed visual searching tasks. Furthermore, the neural mechanism underlying the concealed visual-searching and decision-making process was explained by analyzing serial EEG components. The findings of this study could contribute to the development of a fault alert system, which has the potential to improve human decision-making performance.

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  • Authors: Amanda, Kjeldgaard; Pernille Langer, Soendergaard; Mia Moth, Wolffbrandt; Anne, Norup;

    BACKGROUND: Caregivers of individuals with traumatic (TBI) or non-traumatic (nTBI) brain injuries are at risk of significant caregiver burden. Consequently, it is crucial to examine predictors of caregiver burden to enable early identification and intervention. OBJECTIVE: To examine predictors of caregiver burden in caregivers of individuals with TBI/nTBI. METHODS: A scoping review was conducted in the bibliographic databases PubMed, EMBASE (Ovid) and APA PsycInfo (EBSCO). Search terms included: ‘acquired brain injur*’, ‘traumatic brain injur*’, ‘brain injur*’, ‘non-traumatic brain injur*’, or ‘stroke*’ combined with ‘burden’, ‘caregiver burden’, ‘perceived burden’, or ‘caregiver strain’. The search was limited to articles written in English and published in academic journals between 2000 and March 2022. EndNote was used to manage the references and identify duplicates. RESULTS: Twenty-four studies were included. Care recipient-related predictors of caregiver burden included more severe injuries, functional disabilities (including decreased physical and neuropsychological functioning), and worse mental health. Caregiver-related predictors included more time spent caregiving, worse mental health, and unmet needs. For several predictor variables, evidence was mixed or vague. CONCLUSION: The results highlight which caregivers are at risk of caregiver burden and point to several areas of potential intervention to prevent caregiver burden. Future research should explore the relationship between characteristics of the caregiver and caregiver burden, including coping style, problem-solving techniques, and personality, as these have been sparsely investigated and are potentially modifiable through intervention. Further research is needed to elucidate if burden can be prevented by interventions targeting caregivers at risk. Addressing these gaps may clarify the link between caregiver burden and predictor variables and assist in development of interventions that may prevent burden.

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  • Authors: G, Hickok; U, Bellugi; E S, Klima;
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Angie Alejandra Díaz Baquero; Sandra Milena Camelo Roa;

    The consumption of psychoactive substances is a public health problem that increasingly affects the adolescent population. This investigation had the objective of record the brain electrical activity (EEG) in attention tasks (sustained and selective) in a group of polyconsumers. Employment a retrospective ex post-facto design with a quasi-control group with 46 adolescents between 12-17 years old: 23 polyconsumers and 23 quasi-controls. For the recording of brain electrical activity, it was used a equipment BCI (Brain Control Interface) research grade 14 Channel Mobile EEG and applied the Brain Training Virtual Program "Brain HQ" module “focus my attention” to evaluate the attention. The results showed an increase in beta-β (13- 30 Hz), theta-θ (4-7 Hz) and delta-δ (3-4 Hz) brain waves in frontal and prefrontal areas in adolescent polyonsumers versus the quasi-control group in attention tasks. Likewise, identified a significant difference with respect to the response time between adolescents consuming psychoactive substances in relation to the quasi-control group in both types of attentional tasks.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Acta Colombiana de P...arrow_drop_down
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    Acta Colombiana de Psicología
    Article
    License: CC BY ND SA
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Acta Colombiana de Psicología
    Article . 2019 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Acta Colombiana de P...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Acta Colombiana de Psicología
      Article
      License: CC BY ND SA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Acta Colombiana de Psicología
      Article . 2019 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Iwona, Ptaszyńska-Sarosiek; Anna, Niemcunowicz-Janica; Marcin, Filimoniuk; Zofia, Wardaszka; +3 Authors

    Post-traumatic cerebrasthenia and post-traumatic encephalopathy are the effects of a head trauma. Most physicians overuse these diagnoses. They do not perform differential diagnostic management, what leads to issuing erroneous opinions. The aim of this report is to show the symptoms of posttraumatic cerebrasthenia and posttraumatic encephalopathy and diagnostic investigations, which could be helpful for diagnosing these conditions. Cerebrasthenia (the subjective posttraumatic syndrome, subjective syndrome, posttraumatic neurosis) is usually a functional--"unorganic" disorder. It happens in the cases of many people who had brain concussion. The most common symptoms are: headache, vertigo, irritability, insomnia, attention deficits, fatigability. Posttraumatic encephalopathy is a persistent brain tissues injury which could be caused by more severe trauma (brain contusion, endocranial bleeding). The clinical picture of this disease entity is not unambiguous. The most frequently encountered form is a simple (common) form, which is similar to cerebrasthenia, but with differences in the neurological examination (focal signs) and with persistent changes in EEG.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Archives of Forensic...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Archives of Forensic...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Gérard N, Bischof; Donna J, Cross;

    Imaging of mild traumatic brain injury (TBI) using conventional techniques such as CT or MRI often results in no specific imaging correlation that would explain cognitive and clinical symptoms. Molecular imaging of mild TBI suggests that secondary events after injury can be detected using PET. However, no single specific pattern emerges that can aid in diagnosing the injury or determining the prognosis of the long-term behavioral profiles, indicating the heterogeneous and diffuse nature of TBI. Chronic traumatic encephalopathy, a primary tauopathy, has been shown to be strongly associated with repetitive TBI. In vivo data on the available tau PET tracers, however, have produced mixed results and overall low retention profiles in athletes with a history of repetitive mild TBI. Here, we emphasize that the lack of a mechanistic understanding of chronic TBI has posed a challenge when interpreting the results of molecular imaging biomarkers. We advocate for better target identification, improved analysis techniques such as machine learning or artificial intelligence, and novel tracer development.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
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    Europe PubMed Central
    Other literature type . 2023
    Data sources: PubMed Central
    Journal of Nuclear Medicine
    Article . 2023 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
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      Europe PubMed Central
      Other literature type . 2023
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      Journal of Nuclear Medicine
      Article . 2023 . Peer-reviewed
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  • Authors: Colin, Blakemore;
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    Authors: Michoel L Moshel; Amanda K Robinson; Thomas A. Carlson; Tijl Grootswagers;

    Can we trust our eyes? Until recently, we rarely had to question whether what we see is indeed what exists, but this is changing. Artificial neural networks can now generate realistic images that challenge our perception of what is real. This new reality can have significant implications for cybersecurity, counterfeiting, fake news, and border security. We investigated how the human brain encodes and interprets realistic artificially generated images using behaviour and brain imaging. We found that we could reliably decode AI generated faces using people's neural activity. However, while at a group level people performed near chance classifying real and realistic fakes, participants tended to interchange the labels, classifying real faces as realistic fakes and vice versa. Understanding this difference between brain and behavioural responses may be key in determining the 'real' in our new reality. Stimuli, code, and data for this study can be found at https://osf.io/n2z73/.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://doi.org/10.3...arrow_drop_down
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    https://doi.org/10.31234/osf.i...
    Preprint . 2020
    License: CC BY
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Vision Research
    Article . 2022 . Peer-reviewed
    License: Elsevier TDM
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://doi.org/10.3...arrow_drop_down
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      https://doi.org/10.31234/osf.i...
      Preprint . 2020
      License: CC BY
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Vision Research
      Article . 2022 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Sean C.L. Deoni;

    The first 1,000 days of life are increasingly viewed as laying the essential foundations for lifelong physical and mental health. Extending this age range to include childhood, that is up to 10 years of age, these early-life periods encompass the peak period of brain growth, coincide with the emergence of nearly all fundamental cognitive and behavioral skills and abilities, and overlap with the earliest onset and symptoms of a wide breadth of developmental, intellectual, and psychiatric disorders. It is increasingly recognized that altered brain development throughout this sensitive period can negatively affect cognitive and behavioral outcomes. The development of safe and noninvasive neuroimaging techniques, such as magnetic resonance imaging, has provided important new insights into patterns of early structural and functional neurodevelopment, the relationships between brain growth and emerging brain function, and the influence of environmental, genetic, and nutritional factors on shaping these brain-function relationships. In particular, nutrition is a critical and readily modifiable influence that can profoundly impact early brain maturation. Here, we overview the current understanding of early-life nutrition and its effects on the developing brain as detailed through neuroimaging.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1159/000486...
    Part of book or chapter of book . 2018 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      https://doi.org/10.1159/000486...
      Part of book or chapter of book . 2018 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Max, Kozlov;
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Naturearrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Nature
    Article . 2023 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Naturearrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • Authors: Xuan-The, Tran; Thomas Tien-Thong, Do; Chin-Teng, Lin;

    Detecting concealed objects presents a significant challenge for human and artificial intelligent systems. Detecting concealed objects task necessitates a high level of human attention and cognitive effort to complete the task successfully. Thus, in this study, we use concealed objects as stimuli for our decision-making experimental paradigms to quantify participants' decision-making performance. We applied a deep learning model, Bi-directional Long Short Term Memory (BiLSTM), to predict the participant's decision accuracy by using their electroencephalogram (EEG) signals as input. The classifier model demonstrated high accuracy, reaching 96.1% with an epoching time range of 500 ms following the stimulus event onset. The results revealed that the parietal-occipital brain region provides highly informative information for the classifier in the concealed visual searching tasks. Furthermore, the neural mechanism underlying the concealed visual-searching and decision-making process was explained by analyzing serial EEG components. The findings of this study could contribute to the development of a fault alert system, which has the potential to improve human decision-making performance.

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  • Authors: Amanda, Kjeldgaard; Pernille Langer, Soendergaard; Mia Moth, Wolffbrandt; Anne, Norup;

    BACKGROUND: Caregivers of individuals with traumatic (TBI) or non-traumatic (nTBI) brain injuries are at risk of significant caregiver burden. Consequently, it is crucial to examine predictors of caregiver burden to enable early identification and intervention. OBJECTIVE: To examine predictors of caregiver burden in caregivers of individuals with TBI/nTBI. METHODS: A scoping review was conducted in the bibliographic databases PubMed, EMBASE (Ovid) and APA PsycInfo (EBSCO). Search terms included: ‘acquired brain injur*’, ‘traumatic brain injur*’, ‘brain injur*’, ‘non-traumatic brain injur*’, or ‘stroke*’ combined with ‘burden’, ‘caregiver burden’, ‘perceived burden’, or ‘caregiver strain’. The search was limited to articles written in English and published in academic journals between 2000 and March 2022. EndNote was used to manage the references and identify duplicates. RESULTS: Twenty-four studies were included. Care recipient-related predictors of caregiver burden included more severe injuries, functional disabilities (including decreased physical and neuropsychological functioning), and worse mental health. Caregiver-related predictors included more time spent caregiving, worse mental health, and unmet needs. For several predictor variables, evidence was mixed or vague. CONCLUSION: The results highlight which caregivers are at risk of caregiver burden and point to several areas of potential intervention to prevent caregiver burden. Future research should explore the relationship between characteristics of the caregiver and caregiver burden, including coping style, problem-solving techniques, and personality, as these have been sparsely investigated and are potentially modifiable through intervention. Further research is needed to elucidate if burden can be prevented by interventions targeting caregivers at risk. Addressing these gaps may clarify the link between caregiver burden and predictor variables and assist in development of interventions that may prevent burden.

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