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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Intrinsic Functional Architecture Reflects Individual Differences in Passive Working Memory: An Exploratory

Yun Tian1, Jiangtao Chen2, Ziyuan Li3

  • 1Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.

Human Brain Mapping
|June 30, 2026
PubMed
Summary
This summary is machine-generated.

Individual differences in passive working memory (WM) are linked to intrinsic brain connectivity. Baseline functional architecture, particularly connections within attention, control, and sensorimotor networks, predicts WM performance.

Keywords:
activity‐silent working memorycontrol networkdirected connectivityfunctional connectivity

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Passive working memory (WM) is difficult to detect due to minimal neural firing.
  • The activity-silent working memory (ASWM) framework suggests transient connectivity changes, which are hard to track with fMRI.
  • Understanding baseline neural architecture may reveal predispositions for successful passive WM.

Purpose of the Study:

  • To investigate the association between intrinsic functional brain architecture and individual differences in passive working memory.
  • To explore how resting-state functional connectivity and structural MRI relate to passive WM performance.

Main Methods:

  • Combined resting-state fMRI, structural MRI, and behavioral data from 151 healthy adults.
  • Analyzed functional connectivity-behavior associations using a sequential change-detection task.
  • Employed Granger causality analyses and exploratory structural analyses.

Main Results:

  • Individual passive WM performance significantly correlated with intrinsic connections within dorsal attention, control, and sensorimotor networks.
  • Granger causality revealed group-level temporal dependencies among these linked functional systems.
  • Exploratory structural analysis indicated potential overlap between cortical thickness and sensorimotor network nodes.

Conclusions:

  • Baseline intrinsic functional architecture is significantly associated with individual differences in passive working memory.
  • The findings suggest that stable brain network organization supports latent memory representations.
  • Preliminary structural findings complement the functional connectivity results, highlighting the role of neural scaffolding.