Neuroscience
-
It has been shown that a previously consolidated memory can incorporate either new external information or a novel internal emotional state following a labile state induced by retrieval. This updating process allows editing unwanted fear memory, leading to the reduction of the fear response. Memory can be modulated by the circadian cycle. ⋯ However, three retrieval sessions in the dark cycle were able to update fear memory, reducing freezing response in the test performed in the light cycle. This effect was blocked when the glucocorticoid synthesis inhibitor metyrapone was administered before retrieval. This approach opens new avenues to explore interventions that consider the circadian cycle in the treatment of fear memories based on non-pharmacological interventions.
-
We used the framework of the uncontrolled manifold hypothesis to explore force-stabilizing synergies and motor equivalence in the spaces of individual motor unit (MU) firing frequencies. Healthy subjects performed steady force production tasks by pressing with one finger or three fingers of a hand. Surface EMG was used to identify individual MU action potentials. ⋯ Effects of hand dominance were seen on multi-finger synergies but not intra-muscle synergies. We conclude that spinal mechanisms, such as recurrent inhibition and reflex loops from proprioceptors, contribute significantly to intra-muscle synergies, while multi-finger synergies reflect supra-spinal processes. These results provide methods to explore the contributions of spinal vs supraspinal circuitry to changed motor synergies in populations with a variety of neurological disorders.
-
The relationship of cognitive reserve and measures of reserve with longitudinal cognitive change and the duration of preclinical, prodromal, and mild Alzheimer disease (AD) dementia remains to be fully characterized. In our study, 660 β-amyloid-positive participants staged with preclinical AD, prodromal AD, and dementia due to AD from the Alzheimer's Disease Neuroimaging Initiative were selected. Cognitive reserve and brain reserve were defined by conventional proxies or the residual method at baseline. ⋯ The estimated time from preclinical to mild AD dementia varied from 15-24 years based on the different reserve groups, and we observed a linear trend for the longest duration in individuals with high cognitive reserve/high brain reserve, followed by those with high cognitive reserve/low brain reserve, low cognitive reserve/high brain reserve, and low cognitive reserve/low brain reserve. This study showed a reduced risk of cognitive decline for individuals with higher level of reserve regardless of methods for measuring reserve. Interindividual differences in reserve may be important for clinical practice and trial design.
-
Intelligence is the ability to recognize and understand objective things, and use knowledge and experience to solve problems. Highly intelligent people show the ability to switch between different thought patterns and shift their mental focus. This suggests a link between intelligence and the dynamic interaction of brain networks. ⋯ High variability in these areas indicates flexible connectivity patterns, which may contribute to cognitive processes such as attention selection. In addition, performance intelligence was related to greater temporal variability in the functional connectivity patterns of the salience network. Thus, this study revealed a close relationship between performance intelligence and high variability in brain networks involved in attentional choice, spatial orientation, and cognitive control.
-
The mismatch negativity (MMN) component of the human event-related potential (ERP) is frequently interpreted as a sensory prediction-error signal. However, there is ambiguity concerning the neurophysiology underlying hypothetical prediction and prediction-error signalling components, and whether these can be dissociated from overlapping obligatory components of the ERP that are sensitive to physical properties of sounds. In the present study, a hierarchical recurrent neural network (RNN) was fitted to ERP data from 38 subjects. ⋯ Hidden units were categorised according to their temporal response fields, and statistically significant differences among stimulus conditions were observed for amplitudes of units peaking in the 0-75 ms (P50), 75-125 ms (N1), and 250-400 ms (N3) latency ranges, surprisingly not including the measurement window of MMN. The model demonstrated opposite polarity changes in MMN amplitude produced by falling (70 dB) and rising (90 dB) intensity deviant stimuli, consistent with loudness dependence of sensory ERP components. This modelling study suggests that loudness dependence is a principal driver of intensity MMN, and future studies ought to clarify the distinction between loudness dependence, adaptation and prediction-error signalling.