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Vince D. Calhoun

4 papers in the library · 453 citations · publishing 2009-2025

Papers

Default mode network connectivity in stable vs progressive mild cognitive impairment

Neurology January 13, 2011 Jeffrey R. Petrella, Forrest Sheldon, Steven E. Prince et al. 291 citations

Default mode network (DMN) connectivity, measured by fMRI during a face-name memory task, distinguishes people with mild cognitive impairment (MCI) who later develop Alzheimer disease (AD) from those who remain stable over 2 to 3 years. In a cohort of 68 subjects (25 normal controls, 31 MCI, 12 AD), DMN connectivity goodness-of-fit indices were highest in controls, intermediate in MCI, and lowest in AD. Among MCI subjects, baseline connectivity correlated with later decline in functional status, but added no predictive value beyond baseline delayed recall scores. The findings suggest different functional brain connectivity patterns for early versus late MCI.

Interrater and intermethod reliability of default mode network selection

Human Brain Mapping February 10, 2009 Alexandre R. Franco, Aaron Pritchard, Vince D. Calhoun et al. 129 citations

Near perfect agreement was found between human raters selecting the default mode network (DMN) component from resting-state fMRI data, but agreement between human raters and an automated template-matching method was only moderate. The automated method's performance improved significantly when a weighted combination of anterior and posterior cingulate nodes was used. The study involved 42 healthy controls and compared interrater and intermethod reliability for identifying DMN activation, highlighting the need for careful template design in automated component selection.

Multimodal MRI data fusion reveals distinct structural, functional and neurochemical correlates of heavy cannabis use

Addiction Biology November 22, 2021 Dusan Hirjak, Mike M. Schmitgen, Florian Werler et al. 33 citations

Heavy cannabis use (HCU) is linked to changes in both brain structure and function, even in individuals without a cannabis-use disorder or other major mental illnesses. This study used multimodal MRI to examine grey matter volume and intrinsic neural activity in 24 heavy users and 16 controls. Two distinct brain component patterns differed between groups: one involving the cerebellum, temporal, and thalamic regions (structural), and another involving frontal and parietal regions (functional). These patterns correlated with specific cannabis-use behaviors. Additionally, the structural changes were associated with the serotonergic system, while functional changes were linked to serotonergic, dopaminergic, and μ-opioid receptor systems, offering new insights into the neural mechanisms of heavy cannabis use.

Effects of an 18-month meditation training on dynamic functional connectivity states in older adults: Secondary analyses from the Age-Well randomized controlled trial

Imaging Neuroscience January 1, 2025 Sacha Haudry, Sophie Dautricourt, Julie Gonneaud et al.

An 18-month meditation training in healthy older adults altered resting-state brain dynamics. Participants who meditated showed more frequent transitions between different brain connectivity states and spent less time in a weakly connected state and more time in a strongly connected state, patterns associated with lower and higher dementia risk, respectively. However, only the increase in transitions was significantly different from a non-native language training group. The small effect sizes and lack of group differences for time spent in states limit the conclusions.