Alessandro Tessitore1, Gabriella Santangelo2, Rosa De Micco3, Alfonso Giordano3, Simona Raimo4, Marianna Amboni5, Fabrizio Esposito6, Paolo Barone6, Gioacchino Tedeschi3, Carmine Vitale7. 1. Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania, Luigi Vanvitelli, Naples, Italy; MRI Research Center SUN-FISM, University of Campania, Luigi Vanvitelli, Naples, Italy. Electronic address: alessandro.tessitore@unina2.it. 2. Neuropsychology Laboratory, Department of Psychology, University of Campania, Luigi Vanvitelli, Caserta, Italy; Istituto di Diagnosi e Cura Hermitage-Capodimonte, Naples, Italy. 3. Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania, Luigi Vanvitelli, Naples, Italy; MRI Research Center SUN-FISM, University of Campania, Luigi Vanvitelli, Naples, Italy. 4. Neuropsychology Laboratory, Department of Psychology, University of Campania, Luigi Vanvitelli, Caserta, Italy. 5. Istituto di Diagnosi e Cura Hermitage-Capodimonte, Naples, Italy; Department of Medicine and Surgery, Neuroscience Section, University of Salerno, Baronissi, SA, Italy. 6. Department of Medicine and Surgery, Neuroscience Section, University of Salerno, Baronissi, SA, Italy. 7. Istituto di Diagnosi e Cura Hermitage-Capodimonte, Naples, Italy; Department of Motor Sciences and Health, University of Parthenope, Naples, Italy.
Abstract
INTRODUCTION: To investigate intrinsic neural networks connectivity changes in Parkinson's disease (PD) patients with and without impulse control disorders (ICD). METHODS: Fifteen patients with PD with ICD (ICD+), 15 patients with PD without ICD (ICD-) and 24 age and sex-matched healthy controls (HC) were enrolled in the study. To identify patients with and without ICD and/or punding, we used the Minnesota Impulsive Disorders Interview (MIDI) and a clinical interview based on diagnostic criteria for each symptom. All patients underwent a detailed neuropsychological evaluation. Whole brain structural and functional imaging was performed on a 3T GE MR scanner. Statistical analysis of functional data was completed using BrainVoyager QX software. Voxel-based morphometry (VBM) was used to test whether between-group differences in resting-state connectivity were related to structural abnormalities. RESULTS: The presence of ICD symptoms was associated with an increased connectivity within the salience and default-mode networks, as well as with a decreased connectivity within the central executive network (p < .05 corrected). ICD severity was correlated with both salience and default mode networks connectivity changes only in the ICD+ group. VBM analysis did not reveal any statistically significant differences in local grey matter volume between ICD+ and ICD- patients and between all patients and HC (p < .05. FWE). CONCLUSIONS: The presence of a disrupted connectivity within the three core neurocognitive networks may be considered as a potential neural correlate of ICD presence in patients with PD. Our findings provide additional insights into the mechanisms underlying ICD in PD, confirming the crucial role of an abnormal prefrontal-limbic-striatal homeostasis in their development.
INTRODUCTION: To investigate intrinsic neural networks connectivity changes in Parkinson's disease (PD) patients with and without impulse control disorders (ICD). METHODS: Fifteen patients with PD with ICD (ICD+), 15 patients with PD without ICD (ICD-) and 24 age and sex-matched healthy controls (HC) were enrolled in the study. To identify patients with and without ICD and/or punding, we used the Minnesota Impulsive Disorders Interview (MIDI) and a clinical interview based on diagnostic criteria for each symptom. All patients underwent a detailed neuropsychological evaluation. Whole brain structural and functional imaging was performed on a 3T GE MR scanner. Statistical analysis of functional data was completed using BrainVoyager QX software. Voxel-based morphometry (VBM) was used to test whether between-group differences in resting-state connectivity were related to structural abnormalities. RESULTS: The presence of ICD symptoms was associated with an increased connectivity within the salience and default-mode networks, as well as with a decreased connectivity within the central executive network (p < .05 corrected). ICD severity was correlated with both salience and default mode networks connectivity changes only in the ICD+ group. VBM analysis did not reveal any statistically significant differences in local grey matter volume between ICD+ and ICD-patients and between all patients and HC (p < .05. FWE). CONCLUSIONS: The presence of a disrupted connectivity within the three core neurocognitive networks may be considered as a potential neural correlate of ICD presence in patients with PD. Our findings provide additional insights into the mechanisms underlying ICD in PD, confirming the crucial role of an abnormal prefrontal-limbic-striatal homeostasis in their development.
Authors: Marit F L Ruitenberg; Vincent Koppelmans; Tina Wu; Bruno B Averbeck; Kelvin L Chou; Rachael D Seidler Journal: Exp Brain Res Date: 2022-07-19 Impact factor: 2.064
Authors: Antonio P Strafella; Nico I Bohnen; Nicola Pavese; David E Vaillancourt; Thilo van Eimeren; Marios Politis; Alessandro Tessitore; Christine Ghadery; Simon Lewis Journal: Mov Disord Clin Pract Date: 2018-10-09