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Individual differences in set‐shifting and levodopa responsiveness in Parkinson’s disease

by Clinical Neuropsychologist Online | Friday, September 4, 2026 | Neuropsychology (general)

Abstract Perseveration (PE) and learned irrelevance (LI) are two distinct processes that shape attentional set-shifting in Parkinson’s disease (PD). Whether LI and PE are dopamine-dependent remains unclear. We investigated whether PE and LI may be dissociated in...

Neurobiological mechanisms of 40‐Hz stimulation in Alzheimer’s disease: evidence, heterogeneity, and constraints

by Clinical Neuropsychologist Online | Friday, September 4, 2026 | Dementia

Abstract Early disruption of gamma oscillations is increasingly recognized as a contributor to neurodegeneration and cognitive decline in Alzheimer’s disease (AD), positioning 40-Hz stimulation as a promising neuromodulatory strategy. However, its...

Estimating and interpreting psychometric networks in neuropsychology: A tutorial with conceptual extensions

by Clinical Neuropsychologist Online | Thursday, September 3, 2026 | Neuropsychology (general)

Abstract Network psychometrics has emerged as a promising framework for modelling the structure of neuropsychological data, offering a complementary perspective to traditional latent variable approaches or single test approaches. In neuropsychology, test performance...

“Like a Prisoner”: Stories From Evergreen Manor

by Clinical Neuropsychologist Online | Thursday, September 3, 2026 | Dementia

Dementia, Ahead of Print. Stigmatizing accounts of dementia emphasize tragedy, constructing people living with dementia as ‘unagentic’ and ‘failed’ aging subjects, and cognitive changes as a loss of self. This stigma has significant consequences for people living with...

Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex

by Clinical Neuropsychologist Online | Thursday, September 3, 2026 | Neuroscience

Nature Neuroscience, Published online: 03 September 2026; doi:10.1038/s41593-026-02409-7The authors use recurrent neural networks to predict how structured prior experience shapes neural dynamics as mice learn flexible timing strategies during complex...
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