2021
DOI: 10.3390/jcm11010061
|View full text |Cite
|
Sign up to set email alerts
|

Investigating the Relationship between White Matter Connectivity and Motivational Circuits in Subjects with Deficit Schizophrenia: A Diffusion Tensor Imaging (DTI) Study

Abstract: Deficit schizophrenia is a subtype of schizophrenia presenting primary and enduring negative symptoms (NS). Although one of the most updated hypotheses indicates a relationship between NS and impaired motivation, only a few studies have investigated abnormalities of motivational circuits in subjects with deficit schizophrenia (DS). Our aim was to investigate structural connectivity within motivational circuits in DS. We analyzed diffusion tensor imaging (DTI) data from 46 subjects with schizophrenia (SCZ) and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 13 publications
(8 citation statements)
references
References 121 publications
0
8
0
Order By: Relevance
“…Diffusion MRI studies in schizophrenia showed alterations in several structural connectivity measures, hinting at an aberrant macroscopic fiber architecture and fiber microstructure. However, due to the considerable heterogeneity of methods and measures, no clear pattern has emerged so far ( 92 , 93 , 103 , 104 , 106 ) ( Figure 4 ). Further downsides of the signal include low spatial resolution, no specificity regarding dopaminergic neurons, unclear underlying microscopic processes, inability to determine the directionality of fiber tracts, and limited reliability in areas with diffuse fiber orientations.…”
Section: Discussion: Current Research Gaps and Potential Developments...mentioning
confidence: 99%
See 2 more Smart Citations
“…Diffusion MRI studies in schizophrenia showed alterations in several structural connectivity measures, hinting at an aberrant macroscopic fiber architecture and fiber microstructure. However, due to the considerable heterogeneity of methods and measures, no clear pattern has emerged so far ( 92 , 93 , 103 , 104 , 106 ) ( Figure 4 ). Further downsides of the signal include low spatial resolution, no specificity regarding dopaminergic neurons, unclear underlying microscopic processes, inability to determine the directionality of fiber tracts, and limited reliability in areas with diffuse fiber orientations.…”
Section: Discussion: Current Research Gaps and Potential Developments...mentioning
confidence: 99%
“…remains unclear. In addition, measures of white matter microstructure can also be referred to as structural connectivity, as is the case for FA ( 103 , 104 ) or for tract dispersion index ( 105 ), an index of fiber geometry which reflects the degree to which tracts deviate from being parallel such as in fanning fibers, for example ( 106 ). As for previously described measures of structural connectivity, FA changes in the VTA-orbitofrontal cortex connection might reflect several processes such as axonal degeneration, demyelination, gliosis, or characteristics of fiber architecture such as kissing or fanning fibers as would also be indicated by the tract dispersion index.…”
Section: Distinct Magnetic Resonance Imaging-based Approaches For Stu...mentioning
confidence: 99%
See 1 more Smart Citation
“…However, this meta-analysis did not find any difference in WM and GM between DS and nondeficit syndrome (NDS) patients. On the other hand, there are other studies showing different changes in white matter integrity between the two groups [ 43 , 45 , 46 ]. Reduction of the FA value between DS and NDS has been identified within the uncinate fasciculus [ 47 , 48 , 49 ], arcuate fasciculus [ 49 ], inferior longitudinal fasciculus [ 49 ], and the posterior part of the corpus callosum [ 18 ].…”
Section: Introductionmentioning
confidence: 98%
“…Many studies have provided evidence for the longterm stability of defect syndrome and the reliability of deficit/nondeficit classification in schizophrenia 2 . There is also evidence that DS can be differentiated from NDS by greater cognitive impairment, poorer treatment response, and worse prognosis 3 . Several studies have reported that patients with DS perform worse on cognitive domains associated with negative symptoms 4 , including executive function 5 , cognitive flexibility 6 , and sustained attention 7 .…”
Section: Introductionmentioning
confidence: 99%