scispace - formally typeset
J

Jade B. Jackson

Researcher at Cognition and Brain Sciences Unit

Publications -  15
Citations -  236

Jade B. Jackson is an academic researcher from Cognition and Brain Sciences Unit. The author has contributed to research in topics: Chronic pain & Default mode network. The author has an hindex of 5, co-authored 15 publications receiving 155 citations. Previous affiliations of Jade B. Jackson include King's College London & Macquarie University.

Papers
More filters
Journal ArticleDOI

Review: coding of visual, auditory, rule, and response information in the brain: 10 years of multivoxel pattern analysis

TL;DR: The data suggest a balanced picture of brain organization in which sensory and motor networks are relatively specialized for information in their own domain, whereas a specific frontoparietal network acts as a domain-general “core” with the capacity to code many different aspects of a task.
Journal ArticleDOI

Feature-selective attention in frontoparietal cortex: Multivoxel codes adjust to prioritize task-relevant information

TL;DR: The data suggest a flexible neural system that adjusts its representation of visual objects to preferentially encode stimulus features that are currently relevant for behavior, providing a neural mechanism for feature-selective attention.
Journal ArticleDOI

Linking Pain Sensation to the Autonomic Nervous System: The Role of the Anterior Cingulate and Periaqueductal Gray Resting-State Networks

TL;DR: In this paper, the authors examined how heart rate variability (HRV) frequency measures were influenced by tonic noxious stimulation and how these variables related to participants' pain perception and to brain functional connectivity in regions known to play a role in both autonomic regulation and pain perception.
Journal ArticleDOI

Adaptive coding in the human brain: Distinct object features are encoded by overlapping voxels in frontoparietal cortex.

TL;DR: Examining human functional imaging data at an intermediate level of resolution quantifies the extent to which single voxels contributed to multiple neural codes, emphasising the flexibility of the MD regions to re-configure their responses and adaptively code relevant information across different tasks.
Journal ArticleDOI

Concurrent neuroimaging and neurostimulation reveals a causal role for dlPFC in coding of task-relevant information.

TL;DR: In this article, the authors applied transcranial magnetic stimulation (TMS) during fMRI, and tested for causal changes in information coding, showing that TMS decreases coding of relevant information across frontoparietal cortex and the impact is significantly stronger than any effect on irrelevant information, which is not statistically detectable.