Irene Navalpotro-Gomez1, Jinhee Kim2, Pedro M Paz-Alonso3, Manuel Delgado-Alvarado4, Ana Quiroga-Varela5, Haritz Jimenez-Urbieta6, Manuel Carreiras7, Antonio P Strafella8, Maria Cruz Rodriguez-Oroz9. 1. Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastián, Spain. Electronic address: INavalpotro@parcdesalutmar.cat. 2. Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada. Electronic address: jin-hee.kim@camhpet.ca. 3. Basque Center on Cognition, Brain and Language (BCBL), San Sebastián, Spain. Electronic address: p.pazalonso@bcbl.eu. 4. Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastián, Spain; Neurology Department, Sierrallana Hospital, Torrelavega, Spain; IDIVAL, Valdecilla Biomedical Research Institute, Santander, Spain; Biomedical Research Networking Center for Mental Health (CIBERSAM), Madrid, Spain. Electronic address: manueldelgadoalv@gmail.com. 5. Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastián, Spain; Neuroscience Area, CIMA, University of Navarra, Navarra, Spain. Electronic address: aquiroga@unav.es. 6. Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastián, Spain. Electronic address: haritzjimenez@hotmail.com. 7. Basque Center on Cognition, Brain and Language (BCBL), San Sebastián, Spain; Ikerbasque (Basque Foundation for Science), Bilbao, Spain. Electronic address: m.carreiras@bcbl.eu. 8. Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Brain, Imaging and Behaviour- Systems Neuroscience Division, Krembil Research Institute, UHN, University of Toronto, Ontario, Canada; Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN, University of Toronto, Ontario, Canada. Electronic address: antonio.strafella@uhn.ca. 9. Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastián, Spain; Basque Center on Cognition, Brain and Language (BCBL), San Sebastián, Spain; Neuroscience Area, CIMA, University of Navarra, Navarra, Spain; Department of Neurology, Clinica Universidad de Navarra, Universidad de Navarra, Pamplona, Spain. Electronic address: mcroroz@unav.es.
Abstract
BACKGROUND: Dynamic functional network analysis may add relevant information about the temporal nature of the neurocognitive alterations in PD patients with impulse control disorders (PD-ICD). Our aim was to investigate changes in dynamic functional network connectivity (dFNC) in PD-ICD patients, and topological properties of such networks. METHODS: Resting state fMRI was performed on 16 PD PD-ICD patients, 20 PD patients without ICD and 17 healthy controls, whose demographic, clinical and behavioral scores were assessed. We conducted a group spatial independent component analysis, sliding window and graph-theory analyses. RESULTS: PD-ICD patients, in contrast to PD-noICD and HC subjects, were engaged across time in a brain configuration pattern characterized by a lack of between-network connections at the expense of strong within-network connections (State III) in temporal, frontoinsular and cingulate cortices, all key nodes of the salience network. Moreover, this increased maintenance of State III in PD-ICD patients was positively correlated with the severity of impulsivity and novelty seeking as measured by specific scales. While in State III, these patients also exhibited increased local efficiency in all the aforementioned areas. CONCLUSIONS: Our findings show for the first time that PD-ICD patients have a dynamic functional engagement of local connectivity involving the limbic circuit, leading to the inefficient modulation in emotional processing and reward-related decision-making. These results provide new insights into the pathophysiology of ICD in PD patients and indicate that the dFC study of fMRI could be a useful biomarker to identify patients at risk to develop ICD.
BACKGROUND: Dynamic functional network analysis may add relevant information about the temporal nature of the neurocognitive alterations in PD patients with impulse control disorders (PD-ICD). Our aim was to investigate changes in dynamic functional network connectivity (dFNC) in PD-ICD patients, and topological properties of such networks. METHODS: Resting state fMRI was performed on 16 PD PD-ICD patients, 20 PD patients without ICD and 17 healthy controls, whose demographic, clinical and behavioral scores were assessed. We conducted a group spatial independent component analysis, sliding window and graph-theory analyses. RESULTS: PD-ICD patients, in contrast to PD-noICD and HC subjects, were engaged across time in a brain configuration pattern characterized by a lack of between-network connections at the expense of strong within-network connections (State III) in temporal, frontoinsular and cingulate cortices, all key nodes of the salience network. Moreover, this increased maintenance of State III in PD-ICD patients was positively correlated with the severity of impulsivity and novelty seeking as measured by specific scales. While in State III, these patients also exhibited increased local efficiency in all the aforementioned areas. CONCLUSIONS: Our findings show for the first time that PD-ICD patients have a dynamic functional engagement of local connectivity involving the limbic circuit, leading to the inefficient modulation in emotional processing and reward-related decision-making. These results provide new insights into the pathophysiology of ICD in PD patients and indicate that the dFC study of fMRI could be a useful biomarker to identify patients at risk to develop ICD.
Authors: Hendrik Theis; Catharina Probst; Anna Campabadal; Katharina S Goerlich; Oliver Granert; Stephan Wolff; Karsten Witt; Günther Deuschl; Thilo van Eimeren Journal: Exp Brain Res Date: 2022-06-28 Impact factor: 2.064
Authors: Xueling Suo; Du Lei; Nannan Li; Wenbin Li; Graham J Kemp; John A Sweeney; Rong Peng; Qiyong Gong Journal: Brain Struct Funct Date: 2021-04-07 Impact factor: 3.270