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induction during learning labels neuronal ensembles in the hippocampus that encode a specific physical environment, revealing a memory trace. In the cortex and other regions, the extent to which induction during learning reveals specific sensory representations is unknown. Here we generate high-quality brain-wide maps of mRNA expression during auditory fear conditioning and recall in the setting of the home cage. These maps reveal a brain-wide pattern of induction that is remarkably similar among fear conditioning, shock-only, tone-only, and fear recall conditions, casting doubt on the idea that reveals auditory-specific sensory representations. Indeed, novel auditory tones lead to as much gene induction in visual as in auditory cortex, while familiar (nonconditioned) tones do not appreciably induce anywhere in the brain. expression levels do not correlate with physical activity, suggesting that they are not determined by behavioral activity-driven alterations in sensory experience. In the thalamus, is induced more prominently in limbic than in sensory relay nuclei, suggesting that may be most sensitive to emotional state. Thus, our data suggest that expression during simple associative learning labels ensembles activated generally by arousal rather than specifically by a particular sensory cue.
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http://dx.doi.org/10.1101/lm.044446.116 | DOI Listing |
Front Public Health
September 2025
Department of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Objective: To investigate the neural and molecular correlates of occupational burnout in nurses by integrating resting-state fMRI (rs-fMRI), clinical assessments, brain-wide gene expression, and neurotransmitter atlases.
Methods: Fifty-one female nurses meeting burnout criteria and 51 matched healthy controls underwent 3 T rs-fMRI. We analyzed fractional amplitude of low-frequency fluctuations (fALFF) and seed-based functional connectivity (FC), correlating findings with burnout (emotional exhaustion [EE], depersonalization [DP], and personal accomplishment [PA]).
bioRxiv
August 2025
Department of Mechanical Engineering, University of Rochester, Rochester, 14627, NY, USA.
The circulation of cerebrospinal and interstitial fluid plays a vital role in clearing metabolic waste from the brain, and its disruption has been linked to neurological disorders. However, directly measuring brain-wide fluid transport-especially in the deep brain-has remained elusive. Here, we introduce magnetic resonance artificial intelligence velocimetry (MR-AIV), a framework featuring a specialized physics-informed architecture and optimization method that reconstructs three-dimensional fluid velocity fields from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
View Article and Find Full Text PDFFractional anisotropy (FA) derived from diffusion MRI is a widely used marker of white matter (WM) integrity. However, conventional FA-based genetic studies focus on phenotypes representing tract- or atlas-defined averages, which may oversimplify spatial patterns of WM integrity and thus limit the genetic discovery. Here, we proposed a deep learning-based framework, termed unsupervised deep representation of WM (UDR-WM), it adopted the voxel-wise FA maps as the input, and to extract brain-wide FA features-referred to as UDIP-FA-that capture distributed microstructural variation without prior anatomical assumptions.
View Article and Find Full Text PDFGeroscience
July 2025
Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Concerns about memory often increase with age and have been suggested as a precursor to impending memory impairment or dementia. However, subjective memory concern (SMC) has also been shown to reflect an individual's trait-like tendency to worry about memory, which is more strongly linked to negative affect than to objective memory performance. Despite behavioral evidence supporting a trait-like dimension of SMC, its neuroanatomical underpinnings remain underexplored.
View Article and Find Full Text PDFSchizophr Bull
June 2025
Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, 8032 Zurich, Switzerland.
Background And Hypothesis: Negative symptoms of schizophrenia (SCZ), particularly amotivation, are prominent across both SCZ and bipolar disorder (BD). While orbitofrontal cortex (OFC) alterations have been implicated in the development of negative symptoms, their contributions across disorders remain to be established. Here, we examined how OFC thickness and network associations relate to amotivation compared to diminished expression across the BD-SCZ spectrum.
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