2018
DOI: 10.1016/j.msard.2018.01.014
|View full text |Cite
|
Sign up to set email alerts
|

Symbol Digit Modalities Test adaptation for Magnetic Resonance Imaging environment: A systematic review and meta-analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
26
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 53 publications
(29 citation statements)
references
References 59 publications
0
26
0
Order By: Relevance
“…While other studies have reported correlations between ToM and cognitive performance (e.g., Isernia et al, 2019;Roca et al, 2014), the current study is the first to use mediation analysis to demonstrate that the group differences in cognitive ToM are explained by cognitive ability. This finding may suggest a common pattern of neurodegeneration substrative of both cognitive and social cognitive processes in MS; this is supported by recent neuroanatomical evidence that atrophy in the brain regions contributing to social cognitive deficits in MS overlap with those that are important for memory and processing speed (Ciampi et al, 2018;Kollndorfer et al, 2013;Silva et al, 2018). Interestingly, affective ToM was not significantly associated with general cognitive ability, suggesting that inferring an actor's thoughts and intentions may be more cognitively demanding than inferring their emotions, or may rely on distinct neural pathways that are differentially affected by MS (Abu-Akel & Shamay-Tsoory, 2011).…”
mentioning
confidence: 56%
“…While other studies have reported correlations between ToM and cognitive performance (e.g., Isernia et al, 2019;Roca et al, 2014), the current study is the first to use mediation analysis to demonstrate that the group differences in cognitive ToM are explained by cognitive ability. This finding may suggest a common pattern of neurodegeneration substrative of both cognitive and social cognitive processes in MS; this is supported by recent neuroanatomical evidence that atrophy in the brain regions contributing to social cognitive deficits in MS overlap with those that are important for memory and processing speed (Ciampi et al, 2018;Kollndorfer et al, 2013;Silva et al, 2018). Interestingly, affective ToM was not significantly associated with general cognitive ability, suggesting that inferring an actor's thoughts and intentions may be more cognitively demanding than inferring their emotions, or may rely on distinct neural pathways that are differentially affected by MS (Abu-Akel & Shamay-Tsoory, 2011).…”
mentioning
confidence: 56%
“…A reduced anti-coupling between iCAP5 AntDMN and iCAP2 Aud/SM correlated with a worse performance at CVLT-II but better for SDMT. While the former would indicate that the segregation between anterior DMN and auditory regions influences CVLT-II performance, the latter again suggests a compensatory role for the iCAP5 AntDMN , in this case involving its synchronicity with sensory-motor regions, probably the supplementary motor area functionally involved during SDMT (Silva et al ., 2018). We also confirmed an association between reduced dynamic of the visual network and cognitive impairment, previously observed in a study on a large sample of patients with relapsing-remitting, PP and SP MS (Eijlers et al ., 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Previous event-related fMRI studies revealed activation in the fronto-parietal network and visual areas during SDMT tests, including the dlPFC, cuneus, and lingual gyrus (Forn et al, 2009, 2013; Akbar et al, 2016; Dobryakova et al, 2016). The SDMT requires the visual tracking, scanning, and attention regulated by the visual areas, as well as the attentional control, memory coding, working memory, and inferential reasoning involving the dlPFC (Silva et al, 2018). In the current study, the enhanced FC between the dlPFC and cuneus was also associated with the SDMT performances in the patients with SNHL, suggesting that the stronger functional integration between the dlPFC and visual cortex also contributed to faster information processing speed in SNHL.…”
Section: Discussionmentioning
confidence: 99%