Failing to remember whether we performed, or merely imagined performing, an everyday action can occasionally be inconvenient, but in some circumstances it can have potentially dangerous consequences. In this fMRI study, we investigated the brain activity patterns, and objective and subjective behavioral measures, associated with recollecting such everyday actions. We used an ecologically valid "reality-monitoring" paradigm in which participants performed, or imagined performing, specified actions with real objects drawn from one of two boxes. Lateral brain areas, including prefrontal cortex, were active when participants recollected both the actions that had been associated with objects and the locations from which they had been drawn, consistent with a general role in source recollection. By contrast, medial prefrontal and motor regions made more specific contributions, with supplementary motor cortex activity being associated with recollection decisions about actions but not locations, and medial prefrontal cortex exhibiting greater activity when remembering performed rather than imagined actions. These results support a theoretical interpretation of reality monitoring that entails the fine-grained discrimination between multiple forms of internally and externally generated information.
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http://dx.doi.org/10.3758/s13415-013-0189-z | DOI Listing |
J Neural Eng
January 2025
Shanghai Dianji University, shnaghai, Shanghai, Shanghai, 201306, CHINA.
Objective: Among all BCI paradigms, motion imagery (MI) has gained favor among researchers because it allows users to control external devices by imagining movements rather than actually performing actions. This property holds important promise for clinical applications, especially in areas such as stroke rehabilitation. Electroencephalogram (EEG) signals and functional near-infrared spectroscopy (fNIRS) signals are two of the more popular neuroimaging techniques for obtaining MI signals from the brain.
View Article and Find Full Text PDFPediatr Blood Cancer
January 2025
Pediatrics Department, Jean Verdier Hospital, APHP, Bondy, France.
Background: Systemic inflammatory diseases (SIDs) have been reported in patients with sickle cell disease (SCD), but clinical data in children are scarce.
Objectives: To identify clinical and laboratory features at diagnosis of SID in children with SCD and to describe their evolution.
Methods: Data from children with SCD and SIDs were retrospectively collected in a French multicenter study from 1991 to 2018.
Pediatr Rheumatol Online J
January 2025
Laboratory of Autoimmunity and Inflammation, Center for Clinical, Biomedical Research Foundation, Experimental Surgery and Translational Research, Academy of Athens, Athens, Greece.
Background: Type I interferonopathies including Aicardi-Goutiéres Syndrome (AGS) represent a heterogeneous group of clinical phenotypes. Herein, we present a Case with combined AGS and Cornelia de Lange Syndrome (CdLS)-a cohesinopathy-with comprehensive analysis of the immune and genomic abnormalities.
Case And Methods: A 20-year old man presented with chilblain lesions and resorption of distal phalanges of fingers and toes, somatic and psychomotor retardation, microcephaly, synophrys, hearing losing and other aberrancies consistent with the phenotype of CdLS.
Ophthalmic Physiol Opt
January 2025
Vision and Hearing Sciences Research Centre, Anglia Ruskin University, Cambridge, UK.
Purpose: Wearable electronic low vision enhancement systems (wEVES) improve visual function but are not widely adopted by people with vision impairment. Here, qualitative research methods were used to investigate the usefulness of wEVES for people with age-related macular degeneration (AMD) after an extended home trial.
Methods: Following a 12-week non-masked randomised crossover trial, semi-structured interviews were completed with 34 participants with AMD, 64.
Sensors (Basel)
January 2025
Department of Mechanical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia.
Enhancing motor disability assessment and its imagery classification is a significant concern in contemporary medical practice, necessitating reliable solutions to improve patient outcomes. One promising avenue is the use of brain-computer interfaces (BCIs), which establish a direct communication pathway between users and machines. This technology holds the potential to revolutionize human-machine interaction, especially for individuals diagnosed with motor disabilities.
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