Dataset Information

Tackling psychosocial maladjustment in Parkinson's disease patients following subthalamic deep-brain stimulation: A randomised clinical trial.

ABSTRACT: Subthalamic nucleus deep brain stimulation (STN-DBS) is an effective treatment for the motor and non-motor signs of Parkinson's disease (PD), however, psychological disorders and social maladjustment have been reported in about one third of patients after STN-DBS. We propose here a perioperative psychoeducation programme to limit such social and familial disruption.Nineteen PD patients and carers were included in a randomised single blind study. Social adjustment scale (SAS) scores from patients and carers that received the psychoeducation programme (n = 9) were compared, both 1 and 2 years after surgery, with patients and carers with usual care (n = 10). Depression, anxiety, cognitive status, apathy, coping, parkinsonian disability, quality-of-life, carers' anxiety and burden were also analysed.Seventeen patients completed the study, 2 were excluded from the final analysis because of adverse events. At 1 year, 2/7 patients with psychoeducation and 8/10 with usual care had an aggravation in at least one domain of the SAS (p = .058). At 2 years, only 1 patient with psychoeducation suffered persistent aggravated social adjustment as compared to 8 patients with usual care (p = .015). At 1 year, anxiety, depression and instrumental coping ratings improved more in the psychoeducation than in the usual care group (p = .038, p = .050 and p = .050, respectively). No significant differences were found between groups for quality of life, cognitive status, apathy or motor disability.Our results suggest that a perioperative psychoeducation programme prevents social maladjustment in PD patients following STN-DBS and improves anxiety and depression compared to usual care. These preliminary data need to be confirmed in larger studies.

SUBMITTER: Flores Alves Dos Santos J

PROVIDER: S-EPMC5388322 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Tackling psychosocial maladjustment in Parkinson's disease patients following subthalamic deep-brain stimulation: A randomised clinical trial.

Flores Alves Dos Santos Joao J Tezenas du Montcel Sophie S Gargiulo Marcella M Behar Cecile C Montel Sébastien S Hergueta Thierry T Navarro Soledad S Belaid Hayat H Cloitre Pauline P Karachi Carine C Mallet Luc L Welter Marie-Laure ML

PloS one 20170411 4

<h4>Background</h4>Subthalamic nucleus deep brain stimulation (STN-DBS) is an effective treatment for the motor and non-motor signs of Parkinson's disease (PD), however, psychological disorders and social maladjustment have been reported in about one third of patients after STN-DBS. We propose here a perioperative psychoeducation programme to limit such social and familial disruption.<h4>Methods</h4>Nineteen PD patients and carers were included in a randomised single blind study. Social adjustme ...[more]

PMID: 28399152

Similar Datasets

Project description:Deep brain stimulation of the subthalamic nucleus for Parkinson's disease is an established advanced therapy that addresses motor symptoms and improves quality of life. However, it has also been associated with neuropsychiatric symptoms such as impulsivity and hypomania. When significant, these symptoms can be distressing, necessitating psychiatric intervention. However, a comprehensive analysis of neurocognitive and neuropsychiatric outcomes with reference to the site of subthalamic stimulation has not been undertaken. We examined this matter in a consecutive sample of 64 persons with Parkinson's disease undertaking subthalamic deep brain stimulation. Participants were assessed with a battery of neuropsychiatric instruments at baseline and at repeated postoperative intervals. A psychiatrist identified patients with emergent, clinically-significant symptoms due to stimulation. The site of the active electrode contact and a simulated volume of activated tissue were evaluated with reference to putative limbic, associative and motor subregions of the subthalamic nucleus. We studied anatomical correlates of longitudinal neuropsychiatric change and delineated specific subthalamic regions associated with neuropsychiatric impairment. We tested the ability of these data to predict clinically-significant symptoms. Subthalamic stimulation within the right associative subregion was associated with inhibitory errors on the Excluded Letter Fluency task at 6-weeks (p = 0.023) and 13-weeks postoperatively (p = 0.0017). A cluster of subthalamic voxels associated with inhibitory errors was identified in the right associative and motor subregions. At 6-weeks, clinically-significant neuropsychiatric symptoms were associated with the distance of the active contact to the right associative subregion (p = 0.0026) and stimulation within the right associative subregion (p = 0.0009). At 13-weeks, clinically-significant symptoms were associated with the distance to the right (p = 0.0027) and left (p = 0.0084) associative subregions and stimulation within the right associative subregion (p = 0.0026). Discrete clusters of subthalamic voxels associated with high and low likelihood of postoperative neuropsychiatric symptoms were identified in ventromedial and dorsolateral zones, respectively. When a classifier was trained on these data, clinically-significant symptoms were predicted with an accuracy of 79%. These data underscore the importance of accurate electrode targeting, contact selection and device programming to reduce postoperative neuropsychiatric impairment. The ability to predict neuropsychiatric symptoms based on subthalamic data may permit anticipation and prevention of these occurrences, improving safety and tolerability.

Project description:ObjectivesFirstly, to identify subthalamic region stimulation clusters that predict maximum improvement in rigidity, bradykinesia and tremor, or emergence of side-effects; and secondly, to map-out the cortical fingerprint, mediated by the hyperdirect pathways which predict maximum efficacy.MethodsHigh angular resolution diffusion imaging in twenty patients with advanced Parkinson's disease was acquired prior to bilateral subthalamic nucleus deep brain stimulation. All contacts were screened one-year from surgery for efficacy and side-effects at different amplitudes. Voxel-based statistical analysis of volumes of tissue activated models was used to identify significant treatment clusters. Probabilistic tractography was employed to identify cortical connectivity patterns associated with treatment efficacy.ResultsAll patients responded well to treatment (46% mean improvement off medication UPDRS-III [p < 0.0001]) without significant adverse events. Cluster corresponding to maximum improvement in tremor was in the posterior, superior and lateral portion of the nucleus. Clusters corresponding to improvement in bradykinesia and rigidity were nearer the superior border in a further medial and posterior location. The rigidity cluster extended beyond the superior border to the area of the zona incerta and Forel-H2 field. When the clusters where averaged, the coordinates of the area with maximum overall efficacy was X = -10(-9.5), Y = -13(-1) and Z = -7(-3) in MNI(AC-PC) space. Cortical connectivity to primary motor area was predictive of higher improvement in tremor; whilst that to supplementary motor area was predictive of improvement in bradykinesia and rigidity; and connectivity to prefrontal cortex was predictive of improvement in rigidity.InterpretationThese findings support the presence of overlapping stimulation sites within the subthalamic nucleus and its superior border, with different cortical connectivity patterns, associated with maximum improvement in tremor, rigidity and bradykinesia.

Dataset Information

Tackling psychosocial maladjustment in Parkinson's disease patients following subthalamic deep-brain stimulation: A randomised clinical trial.

Publications

Tackling psychosocial maladjustment in Parkinson's disease patients following subthalamic deep-brain stimulation: A randomised clinical trial.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets