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Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Neural substrates underlying balanced time perspective: A combined voxel-based morphometry and resting-state

Yiqun Guo1, Zhiyi Chen1, Tingyong Feng2

  • 1Research center of Psychology and Social Develoment, Faculty of Psychology, Southwest University, Chongqing, China.

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Balanced time perspective (BTP) involves flexible switching between time frames, enhancing well-being. This study reveals the default mode network

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Balanced time perspectiveResting-state functional connectivityTime perspectiveVoxel-based morphometry

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Area of Science:

  • Neuroscience
  • Psychology
  • Cognitive Science

Background:

  • Balanced time perspective (BTP) is crucial for positive psychology, linked to enhanced mood and cognitive functions.
  • The underlying neural mechanisms of BTP remain largely unexplored.
  • Understanding BTP's neural basis can illuminate its role in psychological well-being.

Purpose of the Study:

  • To investigate the neural substrates of balanced time perspective (BTP).
  • To examine the relationship between deviation from BTP (DBTP) and brain structure/function.
  • To identify the brain networks involved in cognitive flexibility across time.

Main Methods:

  • Quantified individual deviation from balanced time perspective (DBTP).
  • Employed voxel-based morphometry (VBM) to assess gray matter volume (GMV).
  • Utilized resting-state functional connectivity (RSFC) to analyze neural network interactions.

Main Results:

  • DBTP scores positively correlated with gray matter volume in the ventral precuneus.
  • DBTP scores negatively associated with functional connectivity between the ventral precuneus and key default mode network (DMN) regions (mPFC, TPJ, PHG, MFG).
  • Structural and functional findings converged on the DMN as central to BTP.

Conclusions:

  • Provides the first evidence for the structural and functional neural basis of BTP.
  • Highlights the default mode network (DMN) as critical for cognitive flexibility in time.
  • Suggests the DMN's role in facilitating BTP and associated psychological benefits.