scholarly journals Resting State Functional Connectivity and Outcomes of Psychotherapies for Late-life Depression

2020 ◽  
Author(s):  
Nili Solomonov ◽  
Lindsay W. Victoria ◽  
Katharine Dunlop ◽  
Matteo Respino ◽  
Matthew Hoptman ◽  
...  

Background: Problem solving therapy (PST) and “Engage”, a reward-exposure” based therapy, are important treatment options for late-life depression, given modest efficacy of antidepressants in this disorder. Abnormal function of the reward and default mode networks has been observed during depressive episodes. This study examined whether resting state functional connectivity (rsFC) of reward and DMN circuitries is associated with treatment outcomes. Methods: Thirty-two older adults with major depression (mean age = 72.7) were randomized to 9-weeks of either PST or “Engage”. We assessed rsFC at baseline and Week 6. We placed seeds in three a priori regions of interest: subgenual cingulate (sgACC), dorsal anterior cingulate cortex (dACC), and nucleus accumbens (NAcc). Outcome measures included the Hamilton Depression Rating Scale (HAMD) and the Behavioral Activation for Depression Scale (BADS).Results: In both PST and “Engage”, higher rsFC between the sgACC and middle temporal gyrus at baseline was associated with greater improvement in depression severity (HAMD). Preliminary findings suggested that in “Engage” treated participants, lower rsFC between the dACC and DMPFC at baseline was associated with HAM-D improvement. Finally, in Engage only, increased rsFC from baseline to Week 6 between NAcc and Superior Parietal Cortex was associated with increased BADS scores.Conclusion: The results suggest that patients who present with higher rsFC between the sgACC and a structure within the DMN may benefit from behavioral psychotherapies for late life depression. ‘Engage’ may lead to increased rsFC within the reward system reflecting a reconditioning of the reward systems by reward exposure.

2013 ◽  
Vol 214 (3) ◽  
pp. 313-321 ◽  
Author(s):  
Carmen Andreescu ◽  
Dana L. Tudorascu ◽  
Meryl A. Butters ◽  
Erica Tamburo ◽  
Meenal Patel ◽  
...  

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Irina S Samotaeva ◽  
Alla S Avedisova ◽  
Kseniya V Zakharova ◽  
Inna A Arkusha ◽  
Roman V Luzin ◽  
...  

Apathy is prevalent in older depressed patients and considered to be a predictor of increased dementia risk. Neuroimaging characteristics of late-life depression are being discussed. However, it is unclear whether apathetic (ApD) and nonapathetic depression (D) have different neuroimaging correlates. The objective of this study was to examine structural and functional bases of ApD by using morphometric and functional connectivity MRI analyses. We enrolled 45 consecutive patients with late-onset depression (85% female; mean age=66 (4) years, mean education=14 (2) years) and 22 age and gender-matched healthy elderly. Patients were divided into ApD (n=26) and D (n=19) groups based on Apathy Scale scores. All the participants underwent 1.5 T structural MRI and resting-state fMRI. Fazekas scale was used to quantify white matter hyperintensities. Demographic data, Hamilton Depression Rating Scale (HAMD), Apathy Scale, and MoCA scores for the three groups were compared. Association between apathy, depression and neuroimaging characteristics was assessed using regression analysis with demographic and cognitive variables included as covariates. ApD patients demonstrated nonsignificantly higher HAMD and Fazekas scores and lower MoCA scores compared to D patients. The latter group showed similar Fazekas and slightly lower MoCA scores vs healthy elderly. After controlling for covariates, apathy was significantly associated with volumes of nucleus caudatus and putamen on the right as well as functional connectivity between anterior cingulate and parahippocampal gyrus. Depression correlated with the volumes of the cerebral and cerebellum cortices as well as functional connectivity of salience resting state network. Our study demonstrated an association between volumes of basal ganglia, functional connectivity of anterior cingulate and apathy in late-onset depression.


2021 ◽  
Vol 11 (11) ◽  
pp. 1539
Author(s):  
Gianluca Cruciani ◽  
Maddalena Boccia ◽  
Vittorio Lingiardi ◽  
Guido Giovanardi ◽  
Pietro Zingaretti ◽  
...  

Studies comparing organized (O) and unresolved/disorganized (UD) attachment have consistently shown structural and functional brain abnormalities, although whether and how attachment patterns may affect resting state functional connectivity (RSFC) is still little characterized. Here, we investigated RSFC of temporal and limbic regions of interest for UD attachment. Participants’ attachment was classified via the Adult Attachment Interview, and all participants underwent clinical assessment. Functional magnetic resonance imaging data were collected from 11 UD individuals and seven matched O participants during rest. A seed-to-voxel analysis was performed, including the anterior and the posterior cingulate cortex, the bilateral insula, amygdala and hippocampus as seed regions. No group differences in the clinical scales emerged. Compared to O, the UD group showed lower RSFC between the left amygdala and the left cerebellum (lobules VIII), and lower functional coupling between the right hippocampus and the posterior portion of the right middle temporal gyrus. Moreover, UD participants showed higher RSFC between the right amygdala and the anterior cingulate cortex. Our findings suggest RSFC alterations in regions associated with encoding of salient events, emotion processing, memories retrieval and self-referential processing in UD participants, highlighting the potential role of attachment experiences in shaping brain abnormalities also in non-clinical UD individuals.


2020 ◽  
Vol 28 (8) ◽  
pp. 859-868 ◽  
Author(s):  
Nili Solomonov ◽  
Lindsay W. Victoria ◽  
Katharine Dunlop ◽  
Matteo Respino ◽  
Matthew J. Hoptman ◽  
...  

2020 ◽  
Vol 87 (9) ◽  
pp. S439
Author(s):  
Nili Solomonov ◽  
Lindsay Victoria ◽  
Katharine Dunlop ◽  
Matteo Respino ◽  
Matthew J. Hoptman ◽  
...  

2017 ◽  
Vol 30 (3) ◽  
pp. 140-150 ◽  
Author(s):  
Filippo Cieri ◽  
Roberto Esposito ◽  
Nicoletta Cera ◽  
Valentina Pieramico ◽  
Armando Tartaro ◽  
...  

Late-life depression (LLD) is a common emotional and mental disability in the elderly population characterized by the presence of depressed mood, the loss of interest or pleasure in daily activities, and other depression symptoms. It has a serious effect on the quality of life of elderly individuals and increases their risk of developing physical and mental diseases. It is an important area of research, given the growing elderly population. Brain functional connectivity modifications represent one of the neurobiological biomarker for LLD even if to date remains poorly understood. In our study, we enrolled 10 elderly patients with depressive symptoms compared to 11 age-matched healthy controls. All participants were evaluated by means of neuropsychological tests and underwent the same functional magnetic resonance imaging (fMRI) protocol to evaluate modifications of brain resting state functional connectivity. Between-group differences were observed for the Geriatric Depression Scale and Hamilton Depression Rating Scale, with higher scores for patients with LLD. Voxel-wise, 1-way analysis of variance revealed between-group differences in left frontoparietal network (lFPN) and sensory motor network (SMN): Increased intrinsic connectivity in the LLD group was observed in the left dorsolateral prefrontal cortex and in the left superior parietal lobule of the lFPN and increased intrinsic connectivity in the LLD group was observed in the bilateral primary somatosensory cortex of the SMN. Our findings support the use of resting state fMRI as a potential biomarker for LLD; even if to confirm the relationship between brain changes and the pathophysiology of LLD, longitudinal neuroimaging studies are required.


2016 ◽  
Vol 189 ◽  
pp. 126-133 ◽  
Author(s):  
Harris A. Eyre ◽  
Hongyu Yang ◽  
Amber M. Leaver ◽  
Kathleen Van Dyk ◽  
Prabha Siddarth ◽  
...  

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