A. Vania Apkarian

The paper maps dopamine subtype projections in the basal ganglia to reveal spatially distinct domains and their correlation with striatal neuron subclasses and cortical inputs.

This study evaluates eigenvalue-based features to assess residual motion effects in resting-state fMRI denoising strategies across two datasets.

This paper clarifies and improves the ALFF and fALFF methods in resting-state fMRI by introducing new variants and analyzing their relationships with MBI and normalization effects.

The paper shows that a triple combination of HDAC inhibitor and excipients improves microglial function in a mouse model of Kabuki Syndrome by restoring chromatin marks and cognitive responses.

The paper shows that task-specific information is widespread in the human brain and scales with consciousness levels, challenging traditional analytical approaches.

This study shows a triple combination of HDAC inhibitor, caging agent, and PEG extends efficacy of a single dose of HDACi for chronic pain treatment in rats.

This study shows that Orai1 channels regulate microglial reactivity and neuropathic pain, with sexual dimorphism observed in their effects.

This study examines how different fentanyl vapor self-administration regimens affect behavior in mice with and without neuropathic pain, finding regimen-specific outcomes.

This study uses machine learning to show that white matter connectivity in specific brain networks predicts acute pain after mild traumatic brain injury.

This paper challenges the effectiveness of multi-voxel fMRI decoders for identifying mental states across individuals, showing they are often redundant and perform similarly to simpler methods.

This study evaluates clinical predictors of pain persistence after total joint replacement in OA patients, finding that pre-surgical pain levels are not related to post-surgical pain and multi-factorial models do not reliably predict outcomes.

The paper identifies four chronic pain traits using clustering and network analyses, revealing stable neurotraits that categorize patients into distinct neuropsychotypes.

This study shows that placebo pill response in chronic pain patients depends on brain structure, functional connectivity, and psychological factors, with machine learning predicting response magnitude.

This study shows that activating the dorsal hippocampus reduces neuropathic pain behaviors through specific neural circuits.