1
|
Mosley PE, van der Meer JN, Hamilton LHW, Fripp J, Parker S, Jeganathan J, Breakspear M, Parker R, Holland R, Mitchell BL, Byrne E, Hickie IB, Medland SE, Martin NG, Cocchi L. Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli. Mol Psychiatry 2025; 30:848-860. [PMID: 39191867 PMCID: PMC11835748 DOI: 10.1038/s41380-024-02699-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 08/11/2024] [Accepted: 08/14/2024] [Indexed: 08/29/2024]
Abstract
Melancholia has been proposed as a qualitatively distinct depressive subtype associated with a characteristic symptom profile (psychomotor retardation, profound anhedonia) and a better response to biological therapies. Existing work has suggested that individuals with melancholia are blunted in their display of positive emotions and differ in their neural response to emotionally evocative stimuli. Here, we unify these brain and behavioural findings amongst a carefully phenotyped group of seventy depressed participants, drawn from an established Australian database (the Australian Genetics of Depression Study) and further enriched for melancholia (high ratings of psychomotor retardation and anhedonia). Melancholic (n = 30) or non-melancholic status (n = 40) was defined using a semi-structured interview (the Sydney Melancholia Prototype Index). Complex facial expressions were captured whilst participants watched a movie clip of a comedian and classified using a machine learning algorithm. Subsequently, the dynamics of sequential changes in brain activity were modelled during the viewing of an emotionally evocative movie in the MRI scanner. We found a quantitative reduction in positive facial expressivity amongst participants with melancholia, combined with differences in the synchronous expression of brain states during positive epochs of the movie. In non-melancholic depression, the display of positive affect was inversely related to the activity of cerebellar regions implicated in the processing of affect. However, this relationship was reduced in those with a melancholic phenotype. Our multimodal findings show differences in evaluative and motoric domains between melancholic and non-melancholic depression through engagement in ecologically valid tasks that evoke positive emotion. These findings provide new markers to stratify depression and an opportunity to support the development of targeted interventions.
Collapse
Affiliation(s)
- Philip E Mosley
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia.
- Australian eHealth Research Centre, CSIRO Health and Biosecurity, Herston, QLD, Australia.
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia.
| | - Johan N van der Meer
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
- School of Information Systems, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | | | - Jurgen Fripp
- Australian eHealth Research Centre, CSIRO Health and Biosecurity, Herston, QLD, Australia
| | - Stephen Parker
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
- Metro North Mental Health, Royal Brisbane & Women's Hospital, Herston, QLD, Australia
| | - Jayson Jeganathan
- School of Psychology, College of Engineering, Science and the Environment, University of Newcastle, Newcastle, NSW, Australia
- Brain Neuromodulation Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
- School of Medicine and Public Health, College of Medicine, Health and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Michael Breakspear
- School of Psychology, College of Engineering, Science and the Environment, University of Newcastle, Newcastle, NSW, Australia
- Brain Neuromodulation Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
- School of Medicine and Public Health, College of Medicine, Health and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Richard Parker
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Rebecca Holland
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Brittany L Mitchell
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
| | - Enda Byrne
- Child Health Research Centre, University of Queensland, South Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
- School of Psychology, University of Queensland, St Lucia, QLD, Australia
- School of Psychology and Counselling, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | | | - Luca Cocchi
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
| |
Collapse
|
2
|
Isaac V, Lopez V, Escobar MJ. Can attention-deficit/hyperactivity disorder be considered a form of cerebellar dysfunction? Front Neurosci 2025; 19:1453025. [PMID: 39911701 PMCID: PMC11794510 DOI: 10.3389/fnins.2025.1453025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 01/02/2025] [Indexed: 02/07/2025] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a heterogenous disorder, commonly described for presenting difficulties in sustained attention, response inhibition, and organizing goal-oriented behaviors. However, along with its traditionally described executive dysfunction, more than half of the children diagnosed with ADHD have been reported to show difficulties with gross and fine motor skills, albeit motor impairments in ADHD continue to be a neglected area of clinical attention. The rapidly growing field of the clinical cognitive neuroscience of the cerebellum has begun to relate cerebro-cerebellar circuits to neurodevelopmental disorders. While the cerebellum's role in motor function, such as balance, motor coordination, and execution, is well recognized, ongoing research has evidenced its additional and fundamental role in neurocognitive development and executive function, including attention and social cognition, which are all areas of impairment commonly found in ADHD. Interestingly, neuroimaging studies have consistently shown differences in cerebellar volume and functional connectivity between ADHD and typically developing children. Furthermore, methylphenidate is known to act at the cerebellar level, as intrinsic cerebellar dopaminergic systems involved in attention and motor function have been identified. This article reviews some of the main findings linking cerebellar dysfunction to ADHD behavioral symptoms and incorporates the cerebellum as a possible neurological basis and differentiating indicator within the condition. We suggest considering more rigorous assessments in future ADHD studies, including cerebellar-associated skill evaluations to correlate with symptom severity and other detected outcomes, such as executive dysfunction, and study possible associative patterns that may serve as more objective measures for this diagnosis.
Collapse
Affiliation(s)
- Valeria Isaac
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Vladimir Lopez
- Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Maria Josefina Escobar
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| |
Collapse
|
3
|
Lee HM, Lee DH, Lee HG, Kwon S, Cho SY, Jung WS, Moon SK, Park JM, Ko CN, Park SU. Functional neural substrates of Parkinson's disease and potential underpinnings of acute responses to acupuncture stimulation. Neuroscience 2024; 562:148-159. [PMID: 39447671 DOI: 10.1016/j.neuroscience.2024.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 09/24/2024] [Accepted: 10/13/2024] [Indexed: 10/26/2024]
Abstract
Parkinson's disease is a heterogenous neurodegenerative disorder with a wide variety of motor and non-motor symptoms. This study used resting-state fMRI to identify the neural substrates of PD and explore the acute neural response to acupuncture stimulation in 74 participants (50 patients with PD and 24 healthy controls). All participants with PD were evaluated for the severity of symptoms using the Unified Parkinson's Disease Rating Scale and Balance Master. The z-transformed fractional amplitude of low-frequency fluctuation analysis showed significant differences between the PD and healthy controls in the cerebellar regions, which are thought to play a crucial role in PD pathology. Subsequently, seed-based functional connectivity of the cerebellum with the frontal, parietal, and limbic regions was identified as a potential diagnostic marker for PD. In addition, spontaneous neural activity in the precentral gyrus and thalamus was significantly associated with the severity of PD symptoms. Neural activity in the precentral gyrus, precuneus, and superior temporal gyrus showed a significant correlation with Balance Master indicators. Finally, acupuncture stimulation at GB34 significantly reduced the activity of the occipital regions in patients with PD, but this effect was not observed in healthy controls. The mixed-effects analysis revealed an interaction effects between group and acupuncture stimulation, suggesting that the modulatory effects of acupuncture could differ depending on disease status. Therefore, this study suggests the neural substrates of PD and potential underpinnings of acute neural response to acupuncture stimulation.
Collapse
Affiliation(s)
- Hyoung-Min Lee
- Department of Clinical Korean Medicine, Graduate School, Kyung Hee University, 02453 Seoul, South Korea
| | - Dong-Hyuk Lee
- Department of Anatomy, College of Korean Medicine, Sangji University, 26339 Wonju, South Korea; Research Institute of Korean Medicine, Sangji University, 26339 Wonju, South Korea
| | - Han-Gyul Lee
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, 02453 Seoul, South Korea
| | - Seungwon Kwon
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, 02453 Seoul, South Korea; Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea
| | - Seung-Yeon Cho
- Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea; Stroke and Neurological Disorders Center, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, 05278 Seoul, South Korea
| | - Woo-Sang Jung
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, 02453 Seoul, South Korea; Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea
| | - Sang-Kwan Moon
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, 02453 Seoul, South Korea; Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea
| | - Jung-Mi Park
- Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea; Stroke and Neurological Disorders Center, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, 05278 Seoul, South Korea
| | - Chang-Nam Ko
- Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea; Stroke and Neurological Disorders Center, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, 05278 Seoul, South Korea
| | - Seong-Uk Park
- Department of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, 02453 Seoul, South Korea; Stroke and Neurological Disorders Center, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, 05278 Seoul, South Korea.
| |
Collapse
|
4
|
Mata-Bermudez A, Diaz-Ruiz A, Silva-García LR, Gines-Francisco EM, Noriega-Navarro R, Rios C, Romero-Sánchez HA, Arroyo D, Landa A, Navarro L. Mucuna pruriens, a Possible Treatment for Depressive Disorders. Neurol Int 2024; 16:1509-1527. [PMID: 39585071 PMCID: PMC11587415 DOI: 10.3390/neurolint16060112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 11/13/2024] [Accepted: 11/14/2024] [Indexed: 11/26/2024] Open
Abstract
Depression is a mental disorder that depicts a wide variety of symptoms, including mood and cognitive alterations, as well as recurrent thoughts of death or suicide. It could become the second leading cause of premature death or disability worldwide. Treatments with conventional antidepressants have several limitations in terms of effectiveness, side effects, and high costs. Therefore, medicinal plants such as Mucuna pruriens are potent candidates for treating depressive disorders. This review shows a compendium of evidence supporting the antidepressant effect of the Mucuna pruriens plant in diverse animal models. This includes the mechanisms of action underlying the antidepressant activity of the treatment concerning dopamine, serotonin, norepinephrine, reactive oxygen species, nitric oxide, cortisol, and inflammation. Clinical trials are needed to study the efficacy and safety of Mucuna pruriens for depression.
Collapse
Affiliation(s)
- Alfonso Mata-Bermudez
- Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; (A.M.-B.); (R.N.-N.); (D.A.)
- Departamento de Atención a la Salud, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México 04960, Mexico; (L.R.S.-G.); (E.M.G.-F.); (H.A.R.-S.)
| | - Araceli Diaz-Ruiz
- Departamento de Neuroquímica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México 14269, Mexico;
| | - Luis Ricardo Silva-García
- Departamento de Atención a la Salud, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México 04960, Mexico; (L.R.S.-G.); (E.M.G.-F.); (H.A.R.-S.)
| | - Eduardo Manuel Gines-Francisco
- Departamento de Atención a la Salud, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México 04960, Mexico; (L.R.S.-G.); (E.M.G.-F.); (H.A.R.-S.)
| | - Roxana Noriega-Navarro
- Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; (A.M.-B.); (R.N.-N.); (D.A.)
| | - Camilo Rios
- Laboratorio de Neurofarmacología Molecular, Departamento de Sistemas Biológicos, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México 04960, Mexico;
- Dirección de Investigación, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra, Calzada Mexico-Xochimilco 289, Arenal de Guadalupe, Ciudad de México 14389, Mexico
| | - Héctor Alonso Romero-Sánchez
- Departamento de Atención a la Salud, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México 04960, Mexico; (L.R.S.-G.); (E.M.G.-F.); (H.A.R.-S.)
| | - Diego Arroyo
- Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; (A.M.-B.); (R.N.-N.); (D.A.)
| | - Abraham Landa
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico;
| | - Luz Navarro
- Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; (A.M.-B.); (R.N.-N.); (D.A.)
| |
Collapse
|
5
|
Tamaš O, Kostić M, Marić G, Milovanović A, Janković M, Salak Ðokić B, Pekmezović T, Dragašević-Mišković N. Neuropsychiatric Manifestations of Degenerative Cerebellar Ataxia. Brain Sci 2024; 14:1003. [PMID: 39452017 PMCID: PMC11506162 DOI: 10.3390/brainsci14101003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 09/24/2024] [Accepted: 09/30/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND/OBJECTIVES Degenerative cerebellar ataxias (DCA) present a group of complex neurological disorders primarily affecting the cerebellum and its pathways. Classic manifestations include motor symptoms of cerebellar ataxia. However, emerging evidence suggests that the cerebellum also plays a crucial role in various cognitive and emotional processes. The objective was to assess the psychiatric profile of a heterogeneous group of patients with degenerative cerebellar ataxia. METHODS Our sample comprised 107 participants diagnosed with cerebellar degenerative ataxia. All patients were clinically evaluated using SARA, INAS, and different neuropsychiatric scales (ACE-R, HAMA, HAMD, AS, and GAF). RESULTS The majority of patients had autosomal dominant ataxia (38.3%) followed by sporadic ataxia (32.7%) with an average age at the moment of diagnosis of 35.3 ± 16.23 years, while the mean duration of disease at the study beginning was 12.1 ± 9.9 years. Psychiatric disorders were present in 40 patients (37.4%), with dysthymia (14.2%), major depressive disorder (9.4%), and MDD with melancholic features (7.6%). The presence of MDD with melancholic features was statistically significantly correlated with a lower ACE-R total score (r = -0.223; p = 0.022), while dysthymia was statistically significantly associated with a shorter duration of the disease (r = -0.226; p = 0.020) and older age (r = 0.197; p = 0.043). Statistically significant differences were observed between MSA-C patients and those with sporadic ataxia (HDRS p < 0.001, HARS p < 0.001, Apathy Scale p = 0.003, and GAF p = 0.004). CONCLUSIONS Based on our findings, we can conclude that the degree of motor deficit has a significant impact on the development of psychiatric disorders, including depression, anxiety, and apathy. However, it is not the only factor, and the impact also depends on the type of DCA.
Collapse
Affiliation(s)
- Olivera Tamaš
- Neurology Clinic, University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.M.); (M.J.); (B.S.Đ.); (N.D.-M.)
| | - Milutin Kostić
- Institute of Mental Health, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia;
| | - Gorica Marić
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (G.M.); (T.P.)
| | - Andona Milovanović
- Neurology Clinic, University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.M.); (M.J.); (B.S.Đ.); (N.D.-M.)
| | - Mladen Janković
- Neurology Clinic, University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.M.); (M.J.); (B.S.Đ.); (N.D.-M.)
| | - Biljana Salak Ðokić
- Neurology Clinic, University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.M.); (M.J.); (B.S.Đ.); (N.D.-M.)
| | - Tatjana Pekmezović
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (G.M.); (T.P.)
| | - Nataša Dragašević-Mišković
- Neurology Clinic, University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia; (A.M.); (M.J.); (B.S.Đ.); (N.D.-M.)
| |
Collapse
|
6
|
Mishra I, Feng B, Basu B, Brown AM, Kim LH, Lin T, Raza MA, Moore A, Hahn A, Bailey S, Sharp A, Bournat JC, Poulton C, Kim B, Langsner A, Sathyanesan A, Sillitoe RV, He Y, Chopra AR. The cerebellum modulates thirst. Nat Neurosci 2024; 27:1745-1757. [PMID: 38987435 DOI: 10.1038/s41593-024-01700-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 06/07/2024] [Indexed: 07/12/2024]
Abstract
The cerebellum, a phylogenetically ancient brain region, has long been considered strictly a motor control structure. Recent studies have implicated the cerebellum in cognition, sensation, emotion and autonomic function, making it an important target for further investigation. Here, we show that cerebellar Purkinje neurons in mice are activated by the hormone asprosin, leading to enhanced thirst, and that optogenetic or chemogenetic activation of Purkinje neurons induces rapid manifestation of water drinking. Purkinje neuron-specific asprosin receptor (Ptprd) deletion results in reduced water intake without affecting food intake and abolishes asprosin's dipsogenic effect. Purkinje neuron-mediated motor learning and coordination were unaffected by these manipulations, indicating independent control of two divergent functions by Purkinje neurons. Our results show that the cerebellum is a thirst-modulating brain area and that asprosin-Ptprd signaling may be a potential therapeutic target for the management of thirst disorders.
Collapse
Affiliation(s)
- Ila Mishra
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Bing Feng
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Bijoya Basu
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Amanda M Brown
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Linda H Kim
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Tao Lin
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Mir Abbas Raza
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Amelia Moore
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Abigayle Hahn
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Samantha Bailey
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Alaina Sharp
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Juan C Bournat
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Claire Poulton
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Brian Kim
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Amos Langsner
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Aaron Sathyanesan
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
- Department of Electrical & Computer Engineering, School of Engineering, University of Dayton, Dayton, OH, USA
| | - Roy V Sillitoe
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Yanlin He
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
| | - Atul R Chopra
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.
- Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
| |
Collapse
|
7
|
Mata-Bermudez A, Trejo-Chávez R, Martínez-Vargas M, Pérez-Arredondo A, Martínez-Cardenas MDLÁ, Diaz-Ruiz A, Rios C, Navarro L. Dysregulation of the dopaminergic system secondary to traumatic brain injury: implications for mood and anxiety disorders. Front Neurosci 2024; 18:1447688. [PMID: 39176379 PMCID: PMC11338874 DOI: 10.3389/fnins.2024.1447688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 07/29/2024] [Indexed: 08/24/2024] Open
Abstract
Traumatic brain injury (TBI) represents a public health issue with a high mortality rate and severe neurological and psychiatric consequences. Mood and anxiety disorders are some of the most frequently reported. Primary and secondary damage can cause a loss of neurons and glial cells, leading to dysfunction of neuronal circuits, which can induce imbalances in many neurotransmitter systems. Monoaminergic systems, especially the dopaminergic system, are some of the most involved in the pathogenesis of neuropsychiatric and cognitive symptoms after TBI. In this work, we summarize the studies carried out in patients who have suffered TBI and describe alterations in the dopaminergic system, highlighting (1) dysfunction of the dopaminergic neuronal circuits caused by TBI, where modifications are shown in the dopamine transporter (DAT) and alterations in the expression of dopamine receptor 2 (D2R) in brain areas with dopaminergic innervation, thus establishing a hypodopaminergic state and (2) variations in the concentration of dopamine and its metabolites in biological fluids of post-TBI patients, such as elevated dopamine (DA) and alterations in homovanillic acid (HVA). On the other hand, we show a large number of reports of alterations in the dopaminergic system after a TBI in animal models, in which modifications in the levels of DA, DAT, and HVA have been reported, as well as alterations in the expression of tyrosine hydroxylase (TH). We also describe the biological pathways, neuronal circuits, and molecular mechanisms potentially involved in mood and anxiety disorders that occur after TBI and are associated with alterations of the dopaminergic system in clinical studies and animal models. We describe the changes that occur in the clinical picture of post-TBI patients, such as alterations in mood and anxiety associated with DAT activity in the striatum, the relationship between post-TBI major depressive disorders (MDD) with lower availability of the DA receptors D2R and D3R in the caudate and thalamus, as well as a decrease in the volume of the substantia nigra (SN) associated with anxiety symptoms. With these findings, we discuss the possible relationship between the disorders caused by alterations in the dopaminergic system in patients with TBI.
Collapse
Affiliation(s)
- Alfonso Mata-Bermudez
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Ricardo Trejo-Chávez
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
- Doctorado en Ciencias Biomedicas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Marina Martínez-Vargas
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Adán Pérez-Arredondo
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | | | - Araceli Diaz-Ruiz
- Departamento de Neuroquímica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México, Mexico
| | - Camilo Rios
- Laboratorio de Neurofarmacología Molecular, Departamento de Sistemas Biológicos, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México, Mexico
- Dirección de Investigación, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra, Ciudad de México, Mexico
| | - Luz Navarro
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| |
Collapse
|
8
|
Berlijn AM, Huvermann DM, Schneider S, Bellebaum C, Timmann D, Minnerop M, Peterburs J. The Role of the Human Cerebellum for Learning from and Processing of External Feedback in Non-Motor Learning: A Systematic Review. CEREBELLUM (LONDON, ENGLAND) 2024; 23:1532-1551. [PMID: 38379034 PMCID: PMC11269477 DOI: 10.1007/s12311-024-01669-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 02/22/2024]
Abstract
This review aimed to systematically identify and comprehensively review the role of the cerebellum in performance monitoring, focusing on learning from and on processing of external feedback in non-motor learning. While 1078 articles were screened for eligibility, ultimately 36 studies were included in which external feedback was delivered in cognitive tasks and which referenced the cerebellum. These included studies in patient populations with cerebellar damage and studies in healthy subjects applying neuroimaging. Learning performance in patients with different cerebellar diseases was heterogeneous, with only about half of all patients showing alterations. One patient study using EEG demonstrated that damage to the cerebellum was associated with altered neural processing of external feedback. Studies assessing brain activity with task-based fMRI or PET and one resting-state functional imaging study that investigated connectivity changes following feedback-based learning in healthy participants revealed involvement particularly of lateral and posterior cerebellar regions in processing of and learning from external feedback. Cerebellar involvement was found at different stages, e.g., during feedback anticipation and following the onset of the feedback stimuli, substantiating the cerebellum's relevance for different aspects of performance monitoring such as feedback prediction. Future research will need to further elucidate precisely how, where, and when the cerebellum modulates the prediction and processing of external feedback information, which cerebellar subregions are particularly relevant, and to what extent cerebellar diseases alter these processes.
Collapse
Affiliation(s)
- Adam M Berlijn
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
| | - Dana M Huvermann
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Sandra Schneider
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Bellebaum
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Dagmar Timmann
- Department of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Martina Minnerop
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty & Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Jutta Peterburs
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| |
Collapse
|
9
|
Evers S. The Cerebellum in Musicology: a Narrative Review. CEREBELLUM (LONDON, ENGLAND) 2024; 23:1165-1175. [PMID: 37594626 PMCID: PMC11102367 DOI: 10.1007/s12311-023-01594-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/11/2023] [Indexed: 08/19/2023]
Abstract
The cerebellum is involved in cognitive procressing including music perception and music production. This narrative review aims to summarize the current knowledge on the activation of the cerebellum by different musical stimuli, on the involvement of the cerebellum in cognitive loops underlying the analysis of music, and on the role of the cerebellum in the motor network underlying music production. A possible role of the cerebellum in therapeutic settings is also briefly discussed. In a second part, the cerebellum as object of musicology (i.e., in classical music, in contemporary music, cerebellar disorders of musicians) is described.
Collapse
Affiliation(s)
- Stefan Evers
- Faculty of Medicine, University of Münster, Münster, Germany.
- Department of Neurology, Krankenhaus Lindenbrunn, 31863, Coppenbrügge, Lindenbrunn 1, Germany.
| |
Collapse
|
10
|
Peña-Casanova J, Sánchez-Benavides G, Sigg-Alonso J. Updating functional brain units: Insights far beyond Luria. Cortex 2024; 174:19-69. [PMID: 38492440 DOI: 10.1016/j.cortex.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 01/15/2024] [Accepted: 02/15/2024] [Indexed: 03/18/2024]
Abstract
This paper reviews Luria's model of the three functional units of the brain. To meet this objective, several issues were reviewed: the theory of functional systems and the contributions of phylogenesis and embryogenesis to the brain's functional organization. This review revealed several facts. In the first place, the relationship/integration of basic homeostatic needs with complex forms of behavior. Secondly, the multi-scale hierarchical and distributed organization of the brain and interactions between cells and systems. Thirdly, the phylogenetic role of exaptation, especially in basal ganglia and cerebellum expansion. Finally, the tripartite embryogenetic organization of the brain: rhinic, limbic/paralimbic, and supralimbic zones. Obviously, these principles of brain organization are in contradiction with attempts to establish separate functional brain units. The proposed new model is made up of two large integrated complexes: a primordial-limbic complex (Luria's Unit I) and a telencephalic-cortical complex (Luria's Units II and III). As a result, five functional units were delineated: Unit I. Primordial or preferential (brainstem), for life-support, behavioral modulation, and waking regulation; Unit II. Limbic and paralimbic systems, for emotions and hedonic evaluation (danger and relevance detection and contribution to reward/motivational processing) and the creation of cognitive maps (contextual memory, navigation, and generativity [imagination]); Unit III. Telencephalic-cortical, for sensorimotor and cognitive processing (gnosis, praxis, language, calculation, etc.), semantic and episodic (contextual) memory processing, and multimodal conscious agency; Unit IV. Basal ganglia systems, for behavior selection and reinforcement (reward-oriented behavior); Unit V. Cerebellar systems, for the prediction/anticipation (orthometric supervision) of the outcome of an action. The proposed brain units are nothing more than abstractions within the brain's simultaneous and distributed physiological processes. As function transcends anatomy, the model necessarily involves transition and overlap between structures. Beyond the classic approaches, this review includes information on recent systemic perspectives on functional brain organization. The limitations of this review are discussed.
Collapse
Affiliation(s)
- Jordi Peña-Casanova
- Integrative Pharmacology and Systems Neuroscience Research Group, Neuroscience Program, Hospital del Mar Medical Research Institute, Barcelona, Spain; Department of Psychiatry and Legal Medicine, Autonomous University of Barcelona, Bellaterra, Barcelona, Spain; Test Barcelona Services, Teià, Barcelona, Spain.
| | | | - Jorge Sigg-Alonso
- Department of Behavioral and Cognitive Neurobiology, Institute of Neurobiology, National Autonomous University of México (UNAM), Queretaro, Mexico
| |
Collapse
|
11
|
Fong PY, Rothwell JC, Rocchi L. The Past, Current and Future Research in Cerebellar TMS Evoked Responses-A Narrative Review. Brain Sci 2024; 14:432. [PMID: 38790411 PMCID: PMC11118133 DOI: 10.3390/brainsci14050432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
Transcranial magnetic stimulation coupled with electroencephalography (TMS-EEG) is a novel technique to investigate cortical physiology in health and disease. The cerebellum has recently gained attention as a possible new hotspot in the field of TMS-EEG, with several reports published recently. However, EEG responses obtained by cerebellar stimulation vary considerably across the literature, possibly due to different experimental methods. Compared to conventional TMS-EEG, which involves stimulation of the cortex, cerebellar TMS-EEG presents some technical difficulties, including strong muscle twitches in the neck area and a loud TMS click when double-cone coils are used, resulting in contamination of responses by electromyographic activity and sensory potentials. Understanding technical difficulties and limitations is essential for the development of cerebellar TMS-EEG research. In this review, we summarize findings of cerebellar TMS-EEG studies, highlighting limitations in experimental design and potential issues that can result in discrepancies between experimental outcomes. Lastly, we propose a possible direction for academic and clinical research with cerebellar TMS-EEG.
Collapse
Affiliation(s)
- Po-Yu Fong
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK; (J.C.R.)
- Division of Movement Disorders, Department of Neurology and Neuroscience Research Center, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan 333, Taiwan
- Medical School, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - John C. Rothwell
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK; (J.C.R.)
| | - Lorenzo Rocchi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK; (J.C.R.)
- Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy
| |
Collapse
|
12
|
Li CN, Keay KA, Henderson LA, Mychasiuk R. Re-examining the Mysterious Role of the Cerebellum in Pain. J Neurosci 2024; 44:e1538232024. [PMID: 38658164 PMCID: PMC11044115 DOI: 10.1523/jneurosci.1538-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 04/26/2024] Open
Abstract
Pain is considered a multidimensional experience that embodies not merely sensation, but also emotion and perception. As is appropriate for this complexity, pain is represented and processed by an extensive matrix of cortical and subcortical structures. Of these structures, the cerebellum is gaining increasing attention. Although association between the cerebellum and both acute and chronic pain have been extensively detailed in electrophysiological and neuroimaging studies, a deep understanding of what functions are mediated by these associations is lacking. Nevertheless, the available evidence implies that lobules IV-VI and Crus I are especially pertinent to pain processing, and anatomical studies reveal that these regions connect with higher-order structures of sensorimotor, emotional, and cognitive function. Therefore, we speculate that the cerebellum exerts a modulatory role in pain via its communication with sites of sensorimotor, executive, reward, and limbic function. On this basis, in this review, we propose numerous ways in which the cerebellum might contribute to both acute and chronic pain, drawing particular attention to emotional and cognitive elements of pain. In addition, we emphasise the importance of advancing our knowledge about the relationship between the cerebellum and pain by discussing novel therapeutic opportunities that capitalize on this association.
Collapse
Affiliation(s)
- Crystal N Li
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Kevin A Keay
- School of Medical Sciences (Neuroscience) and Brain and Mind Centre, University of Sydney, NSW 2006, Australia
| | - Luke A Henderson
- School of Medical Sciences (Neuroscience) and Brain and Mind Centre, University of Sydney, NSW 2006, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
| |
Collapse
|
13
|
Lyu W, Wu Y, Huynh KM, Ahmad S, Yap PT. A multimodal submillimeter MRI atlas of the human cerebellum. Sci Rep 2024; 14:5622. [PMID: 38453991 PMCID: PMC10920891 DOI: 10.1038/s41598-024-55412-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/23/2024] [Indexed: 03/09/2024] Open
Abstract
The human cerebellum is engaged in a broad array of tasks related to motor coordination, cognition, language, attention, memory, and emotional regulation. A detailed cerebellar atlas can facilitate the investigation of the structural and functional organization of the cerebellum. However, existing cerebellar atlases are typically limited to a single imaging modality with insufficient characterization of tissue properties. Here, we introduce a multifaceted cerebellar atlas based on high-resolution multimodal MRI, facilitating the understanding of the neurodevelopment and neurodegeneration of the cerebellum based on cortical morphology, tissue microstructure, and intra-cerebellar and cerebello-cerebral connectivity.
Collapse
Affiliation(s)
- Wenjiao Lyu
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Ye Wu
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Khoi Minh Huynh
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Sahar Ahmad
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Pew-Thian Yap
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA.
| |
Collapse
|
14
|
Fuchs BA, Pearce AL, Rolls BJ, Wilson SJ, Rose EJ, Geier CF, Garavan H, Keller KL. The Cerebellar Response to Visual Portion Size Cues Is Associated with the Portion Size Effect in Children. Nutrients 2024; 16:738. [PMID: 38474866 DOI: 10.3390/nu16050738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/21/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
The neural mechanisms underlying susceptibility to eating more in response to large portions (i.e., the portion size effect) remain unclear. Thus, the present study examined how neural responses to portion size relate to changes in weight and energy consumed as portions increase. Associations were examined across brain regions traditionally implicated in appetite control (i.e., an appetitive network) as well as the cerebellum, which has recently been implicated in appetite-related processes. Children without obesity (i.e., BMI-for-age-and-sex percentile < 90; N = 63; 55% female) viewed images of larger and smaller portions of food during fMRI and, in separate sessions, ate four meals that varied in portion size. Individual-level linear and quadratic associations between intake (kcal, grams) and portion size (i.e., portion size slopes) were estimated. The response to portion size in cerebellar lobules IV-VI was associated with the quadratic portion size slope estimated from gram intake; a greater response to images depicting smaller compared to larger portions was associated with steeper increases in intake with increasing portion sizes. Within the appetitive network, neural responses were not associated with portion size slopes. A decreased cerebellar response to larger amounts of food may increase children's susceptibility to overeating when excessively large portions are served.
Collapse
Affiliation(s)
- Bari A Fuchs
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Alaina L Pearce
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Barbara J Rolls
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Stephen J Wilson
- Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Emma J Rose
- Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Charles F Geier
- Human Development and Family Science, University of Georgia, Athens, GA 31793, USA
| | - Hugh Garavan
- Department of Psychological Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Kathleen L Keller
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
- Department of Food Science, The Pennsylvania State University, University Park, PA 16802, USA
| |
Collapse
|
15
|
Zhu T, Wang W, Chen Y, Kranzler HR, Li CSR, Bi J. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:326-336. [PMID: 37696489 DOI: 10.1016/j.bpsc.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/23/2023] [Accepted: 08/28/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND Magnetic resonance imaging provides noninvasive tools to investigate alcohol use disorder (AUD) and nicotine use disorder (NUD) and neural phenotypes for genetic studies. A data-driven transdiagnostic approach could provide a new perspective on the neurobiology of AUD and NUD. METHODS Using samples of individuals with AUD (n = 140), individuals with NUD (n = 249), and healthy control participants (n = 461) from the UK Biobank, we integrated clinical, neuroimaging, and genetic markers to identify biotypes of AUD and NUD. We partitioned participants with AUD and NUD based on resting-state functional connectivity (FC) features associated with clinical metrics. A multitask artificial neural network was trained to evaluate the cluster-defined biotypes and jointly infer AUD and NUD diagnoses. RESULTS Three biotypes-primary NUD, mixed NUD/AUD with depression and anxiety, and mixed AUD/NUD-were identified. Multitask classifiers incorporating biotype knowledge achieved higher area under the curve (AUD: 0.76, NUD: 0.74) than single-task classifiers without biotype differentiation (AUD: 0.61, NUD: 0.64). Cerebellar FC features were important in distinguishing the 3 biotypes. The biotype of mixed NUD/AUD with depression and anxiety demonstrated the largest number of FC features (n = 5), all related to the visual cortex, that significantly differed from healthy control participants and were validated in a replication sample (p < .05). A polymorphism in TNRC6A was associated with the mixed AUD/NUD biotype in both the discovery (p = 7.3 × 10-5) and replication (p = 4.2 × 10-2) sets. CONCLUSIONS Biotyping and multitask learning using FC features can characterize the clinical and genetic profiles of AUD and NUD and help identify cerebellar and visual circuit markers to differentiate the AUD/NUD group from the healthy control group. These markers support a new growing body of literature.
Collapse
Affiliation(s)
- Tan Zhu
- Department of Computer Science and Engineering, School of Engineering, University of Connecticut, Storrs, Connecticut
| | - Wuyi Wang
- Data Analytics Department, Yale New Haven Health System, New Haven, Connecticut
| | - Yu Chen
- Department of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Chiang-Shan R Li
- Department of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut; Department of Neuroscience, School of Medicine, Yale University, New Haven, Connecticut; Wu Tsai Institute, Yale University, New Haven, Connecticut
| | - Jinbo Bi
- Department of Computer Science and Engineering, School of Engineering, University of Connecticut, Storrs, Connecticut.
| |
Collapse
|
16
|
Rice LC, Langan MT, Cheng DT, Sheu YS, Peterburs J, Hua J, Qin Q, Rilee JJ, Faulkner ML, Mathena JR, Munro CA, Wand GS, McCaul ME, Desmond JE. Disrupted executive cerebro-cerebellar functional connectivity in alcohol use disorder. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:33-47. [PMID: 38206281 PMCID: PMC10784638 DOI: 10.1111/acer.15219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Alcohol use disorder (AUD) affects 283 million people worldwide and its prevalence is increasing. Despite the role of the cerebellum in executive control and its sensitivity to alcohol, few studies have assessed its involvement in AUD-relevant functional networks. The goal of this study is to compare resting-state functional connectivity (FC) patterns in abstinent adults with a history of AUD and controls (CTL). We hypothesized that group differences in cerebro-cerebellar FC would be present, particularly within the frontoparietal/executive control network (FPN). METHODS Twenty-eight participants completed a resting-state functional magnetic resonance imaging (rsfMRI) study. CTL participants had no history of AUD, comorbid psychological conditions, or recent heavy drinking and/or drug use. AUD participants had a history of AUD, with sobriety for at least 30 days prior to data collection. Multivariate pattern analysis, an agnostic, whole-brain approach, was used to identify regions with significant differences in FC between groups. Seed-based analyses were then conducted to determine the directionality and extent of these FC differences. Associations between FC strength and executive function were assessed using correlations with Wisconsin Card Sorting Test (WCST) performance. RESULTS There were significant group differences in FC in nodes of the FPN, ventral attention network, and default mode network. Post hoc analyses predominantly identified FC differences within the cerebro-cerebellar FPN, with AUD showing significantly less FC within the FPN. In AUD, FC strength between FPN clusters identified in the multivariate pattern analysis (MVPA) analysis (Left Crus II, Right Frontal Cortex) was positively associated with performance on the WCST. CONCLUSIONS Our results show less engagement of the FPN in individuals with AUD than in CTL. FC strength within this network was positively associated with performance on the WCST. These findings suggest that long-term heavy drinking alters cerebro-cerebellar FC, particularly within networks that are involved in executive function.
Collapse
Affiliation(s)
- Laura C. Rice
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | - Yi-Shin Sheu
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jutta Peterburs
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute for Systems Medicine & Department of Human Medicine, MSH Medical School Hamburg, Germany
| | - Jun Hua
- Neurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Qin Qin
- Neurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | | | | | | | | | - Gary S. Wand
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mary E. McCaul
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John E. Desmond
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
17
|
Kurkin SA, Smirnov NM, Paunova R, Kandilarova S, Stoyanov D, Mayorova L, Hramov AE. Beyond Pairwise Interactions: Higher-Order Q-Analysis of fMRI-Based Brain Functional Networks in Patients With Major Depressive Disorder. IEEE ACCESS 2024; 12:197168-197186. [DOI: 10.1109/access.2024.3521249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2025]
Affiliation(s)
- Semen A. Kurkin
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Nikita M. Smirnov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Rositsa Paunova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Drozdstoy Stoyanov
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Larisa Mayorova
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Solnechnogorsk, Russia
| | - Alexander E. Hramov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| |
Collapse
|
18
|
Keleher F, Lindsey HM, Kerestes R, Amiri H, Asarnow RF, Babikian T, Bartnik-Olson B, Bigler ED, Caeyenberghs K, Esopenko C, Ewing-Cobbs L, Giza CC, Goodrich-Hunsaker NJ, Hodges CB, Hoskinson KR, Irimia A, Königs M, Max JE, Newsome MR, Olsen A, Ryan NP, Schmidt AT, Stein DJ, Suskauer SJ, Ware AL, Wheeler AL, Zielinski BA, Thompson PM, Harding IH, Tate DF, Wilde EA, Dennis EL. Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury. JAMA Netw Open 2023; 6:e2343410. [PMID: 37966838 PMCID: PMC10652147 DOI: 10.1001/jamanetworkopen.2023.43410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/04/2023] [Indexed: 11/16/2023] Open
Abstract
Importance Traumatic brain injury (TBI) is known to cause widespread neural disruption in the cerebrum. However, less is known about the association of TBI with cerebellar structure and how such changes may alter executive functioning. Objective To investigate alterations in subregional cerebellum volume and cerebral white matter microstructure after pediatric TBI and examine subsequent changes in executive function. Design, Setting, and Participants This retrospective cohort study combined 12 data sets (collected between 2006 and 2020) from 9 sites in the Enhancing Neuroimaging Genetics Through Meta-Analysis Consortium Pediatric TBI working group in a mega-analysis of cerebellar structure. Participants with TBI or healthy controls (some with orthopedic injury) were recruited from trauma centers, clinics, and institutional trauma registries, some of which were followed longitudinally over a period of 0.7 to 1.9 years. Healthy controls were recruited from the surrounding community. Data analysis occurred from October to December 2022. Exposure Accidental mild complicated-severe TBI (msTBI) for those in the TBI group. Some controls received a diagnosis of orthopedic injury. Main Outcomes and Measures Volume of 18 cerebellar lobules and vermal regions were estimated from 3-dimensional T1-weighted magnetic resonance imaging (MRI) scans. White matter organization in 28 regions of interest was assessed with diffusion tensor MRI. Executive function was measured by parent-reported scores from the Behavior Rating Inventory of Executive Functioning. Results A total of 598 children and adolescents (mean [SD] age, 14.05 [3.06] years; range, 5.45-19.70 years; 386 male participants [64.5%]; 212 female participants [35.5%]) were included in the study, with 314 participants in the msTBI group, and 284 participants in the non-TBI group (133 healthy individuals and 151 orthopedically injured individuals). Significantly smaller total cerebellum volume (d = -0.37; 95% CI, -0.52 to -0.22; P < .001) and subregional cerebellum volumes (eg, corpus medullare; d = -0.43; 95% CI, -0.58 to -0.28; P < .001) were observed in the msTBI group. These alterations were primarily seen in participants in the chronic phase (ie, >6 months postinjury) of injury (total cerebellar volume, d = -0.55; 95% CI, -0.75 to -0.35; P < .001). Smaller cerebellum volumes were associated with higher scores on the Behavior Rating Inventory of Executive Functioning Global Executive Composite score (β = -208.9 mm3; 95% CI, -319.0 to -98.0 mm3; P = .008) and Metacognition Index score (β = -202.5 mm3; 95% CI, -319.0 to -85.0 mm3; P = .02). In a subset of 185 participants with longitudinal data, younger msTBI participants exhibited cerebellum volume reductions (β = 0.0052 mm3; 95% CI, 0.0013 to 0.0090 mm3; P = .01), and older participants slower growth rates. Poorer white matter organization in the first months postinjury was associated with decreases in cerebellum volume over time (β=0.52 mm3; 95% CI, 0.19 to 0.84 mm3; P = .005). Conclusions and Relevance In this cohort study of pediatric msTBI, our results demonstrated robust cerebellar volume alterations associated with pediatric TBI, localized to the posterior lobe. Furthermore, longitudinal cerebellum changes were associated with baseline diffusion tensor MRI metrics, suggesting secondary cerebellar atrophy. These results provide further understanding of secondary injury mechanisms and may point to new opportunities for intervention.
Collapse
Affiliation(s)
- Finian Keleher
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
| | - Hannah M. Lindsey
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
| | - Rebecca Kerestes
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Houshang Amiri
- Institute of Neuropharmacology, Neuroscience Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Robert F. Asarnow
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
- Brain Research Institute, University of California, Los Angeles
- Department of Psychology, University of California, Los Angeles
| | - Talin Babikian
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
- Steve Tisch BrainSPORT Program, University of California, Los Angeles
| | - Brenda Bartnik-Olson
- Department of Radiology, Loma Linda University Medical Center, Loma Linda, California
| | - Erin D. Bigler
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- Department of Psychology, Brigham Young University, Provo, Utah
- Neuroscience Center, Brigham Young University, Provo, Utah
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Carrie Esopenko
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Linda Ewing-Cobbs
- Children’s Learning Institute, Department of Pediatrics, University of Texas Health Science Center at Houston
| | - Christopher C. Giza
- Steve Tisch BrainSPORT Program, University of California, Los Angeles
- Division of Neurology, Department of Pediatrics, Mattel Children’s Hospital University of California, Los Angeles
- Department of Neurosurgery, David Geffen School of Medicine at the University of California, Los Angeles
| | - Naomi J. Goodrich-Hunsaker
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
- Department of Psychology, Brigham Young University, Provo, Utah
| | - Cooper B. Hodges
- Department of Psychology, Brigham Young University, Provo, Utah
- School of Social and Behavioral Sciences, Andrews University, Berrien Springs, Michigan
| | - Kristen R. Hoskinson
- Center for Biobehavioral Health, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, Ohio
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles
| | - Marsh Königs
- Emma Neuroscience Group, Emma Children’s Hospital, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Jeffrey E. Max
- Department of Psychiatry, University of California, San Diego, La Jolla
- Department of Psychiatry, Rady Children’s Hospital, San Diego, California
| | - Mary R. Newsome
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Alexander Olsen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Rehabilitation, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- NorHEAD-Norwegian Centre for Headache Research, Trondheim, Norway
| | - Nicholas P. Ryan
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
- Department of Clinical Sciences, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Adam T. Schmidt
- Department of Psychological Sciences, Texas Tech University, Lubbock
| | - Dan J. Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Cape Town University, Cape Town, South Africa
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, Cape Town University, Cape Town, South Africa
| | - Stacy J. Suskauer
- Kennedy Krieger Institute, Baltimore, Maryland
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ashley L. Ware
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- Department of Psychology, Georgia State University, Atlanta
| | - Anne L. Wheeler
- Neuroscience and Mental Health Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Physiology Department, University of Toronto, Toronto, Ontario, Canada
| | - Brandon A. Zielinski
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- Department of Pediatrics, University of Florida, Gainesville
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
- Department of Neurology, University of Florida, Gainesville
| | - Paul M. Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey
- Department of Neurology, University of Southern California, Los Angeles
- Department of Pediatrics, University of Southern California, Los Angeles
- Department of Psychiatry, University of Southern California, Los Angeles
- Department of Radiology, University of Southern California, Los Angeles
- Department of Engineering, University of Southern California, Los Angeles
- Department of Ophthalmology, University of Southern California, Los Angeles
| | - Ian H. Harding
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - David F. Tate
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
- Department of Psychology, Brigham Young University, Provo, Utah
| | - Elisabeth A. Wilde
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Emily L. Dennis
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
| |
Collapse
|
19
|
Pierce JE, Thomasson M, Voruz P, Selosse G, Péron J. Explicit and Implicit Emotion Processing in the Cerebellum: A Meta-analysis and Systematic Review. CEREBELLUM (LONDON, ENGLAND) 2023; 22:852-864. [PMID: 35999332 PMCID: PMC10485090 DOI: 10.1007/s12311-022-01459-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
The cerebellum's role in affective processing is increasingly recognized in the literature, but remains poorly understood, despite abundant clinical evidence for affective disruptions following cerebellar damage. To improve the characterization of emotion processing and investigate how attention allocation impacts this processing, we conducted a meta-analysis on task activation foci using GingerALE software. Eighty human neuroimaging studies of emotion including 2761 participants identified through Web of Science and ProQuest databases were analyzed collectively and then divided into two categories based on the focus of attention during the task: explicit or implicit emotion processing. The results examining the explicit emotion tasks identified clusters within the posterior cerebellar hemispheres (bilateral lobule VI/Crus I/II), the vermis, and left lobule V/VI that were likely to be activated across studies, while implicit tasks activated clusters including bilateral lobules VI/Crus I/II, right Crus II/lobule VIII, anterior lobule VI, and lobules I-IV/V. A direct comparison between these categories revealed five overlapping clusters in right lobules VI/Crus I/Crus II and left lobules V/VI/Crus I of the cerebellum common to both the explicit and implicit task contrasts. There were also three clusters activated significantly more for explicit emotion tasks compared to implicit tasks (right lobule VI, left lobule VI/vermis), and one cluster activated more for implicit than explicit tasks (left lobule VI). These findings support previous studies indicating affective processing activates both the lateral hemispheric lobules and the vermis of the cerebellum. The common and distinct activation of posterior cerebellar regions by tasks with explicit and implicit attention demonstrates the supportive role of this structure in recognizing, appraising, and reacting to emotional stimuli.
Collapse
Affiliation(s)
- Jordan E Pierce
- Cognitive and Affective Neuroscience Laboratory, Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Marine Thomasson
- Clinical and Experimental Neuropsychology Laboratory, Department of Psychology, University of Geneva, 40 bd du Pont d'Arve, 1205, Geneva, Switzerland
- Neuropsychology Unit, Neurology Department, University Hospitals of Geneva, Geneva, Switzerland
| | - Philippe Voruz
- Clinical and Experimental Neuropsychology Laboratory, Department of Psychology, University of Geneva, 40 bd du Pont d'Arve, 1205, Geneva, Switzerland
- Neuropsychology Unit, Neurology Department, University Hospitals of Geneva, Geneva, Switzerland
| | - Garance Selosse
- Clinical and Experimental Neuropsychology Laboratory, Department of Psychology, University of Geneva, 40 bd du Pont d'Arve, 1205, Geneva, Switzerland
| | - Julie Péron
- Clinical and Experimental Neuropsychology Laboratory, Department of Psychology, University of Geneva, 40 bd du Pont d'Arve, 1205, Geneva, Switzerland.
- Neuropsychology Unit, Neurology Department, University Hospitals of Geneva, Geneva, Switzerland.
| |
Collapse
|
20
|
Zhang J, Zhang J, Sun H, Yang J, Ma Y, Chen K, Su J, Yu X, Yang F, Zhang Z, Zhao T, Hu X, Zhai Y, Liu Q, Wang J, Liu C, Wang Z. Cerebellum drives functional dysfunctions in restless leg syndrome. Sleep Med 2023; 110:172-178. [PMID: 37595434 DOI: 10.1016/j.sleep.2023.08.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/04/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023]
Abstract
OBJECTIVE Restless legs syndrome (RLS) has serious effects on patients' sleep quality, physical and mental health. However, the pathophysiological mechanisms of RLS remain unclear. This study utilized both static and dynamic functional activity and connectivity analyses approaches as well as effective connectivity analysis to reveal the neurophysiological basis of RLS. METHODS The resting-state functional MRI (rs-fMRI) data from 32 patients with RLS and 33 age-, and gender-matched healthy control (HC) were collected. Dynamic and static amplitude of low frequency fluctuation (ALFF), functional connectivity (FC), and Granger causality analysis (GCA) were employed to reveal the abnormal functional activities and couplings in patients with RLS. RESULTS RLS patients showed over-activities in left parahippocampus and right cerebellum, hyper-connectivities of right cerebellum with left basal ganglia, left postcentral gyrus and right precentral gyrus, and enhanced effective connectivity from right cerebellum to left postcentral gyrus compared to HC. CONCLUSIONS Abnormal cerebellum-basal ganglia-sensorimotor cortex circuit may be the underlying neuropathological basis of RLS. Our findings highlight the important role of right cerebellum in the onset of RLS and suggest right cerebellum may be a potential target for precision therapy.
Collapse
Affiliation(s)
- Jiang Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jingyue Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Hui Sun
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Jia Yang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Yingzi Ma
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Kexuan Chen
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Jing Su
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Xiaohui Yu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Futing Yang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Zhiwei Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Tianyu Zhao
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Xiuying Hu
- Med-X Center for Informatics, Sichuan University, Chengdu, China; Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Yiran Zhai
- College of Electrical Engineering, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Qihong Liu
- College of Biomedical Engineering, Sichuan University, Chengdu, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China.
| | - Chunyan Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neuromodulation, Beijing, China.
| | - Zhengbo Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China.
| |
Collapse
|
21
|
Wang Q, Tao Y, Sun T, Yuan J, Ao J, Hong X, Jin Z, Zeng F, Lei Y. Comparison of brain functional response to mechanical prickling stimuli to the glabrous and hairy skin. Skin Res Technol 2023; 29:e13446. [PMID: 37753684 PMCID: PMC10460934 DOI: 10.1111/srt.13446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 08/14/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND A kind of prickle sensation, which is a composite feeling of pain and itch, can be evoked by mechanical stimulation of fiber ends from fabric surface against to human hairy skin, rather than glabrous skin. Now, a functional magnetic resonance imaging (fMRI) study was conducted to investigate the cognitive differences in the brain for mechanical prickling stimuli to the two types of skin. MATERIALS AND METHODS A nylon filament with the diameter of 205 μm and the length of 8 mm was used to deliver mechanical prickling stimuli respectively to two skin sites, fingertip (glabrous skin) and volar forearm (hairy skin), of eight healthy male subjects. Simultaneously, the technology of fMRI was adopted to acquire BOLD (Blood Oxygen Level-Dependent) signals of brain functional response of the subjects. RESULTS Somatosensory areas, emotional areas, and the posterior parietal cortex (especially the precuneus) are important brain regions that distinguish between the two conditions. The representation of mechanical prickling stimulation to glabrous skin in the brain favors much more the tactile information of the stimulation and contains no itch, while the key brain area, precuneus, involved in itch was activated by the same mechanical prickling stimulation to hairy skin, and brain response for the condition of hairy skin contains more emotional information, which plays an important role in pain processing. CONCLUSION Therefore, it can be inferred that a kind of stronger prickle sensation, which contains both pain and itch, was evoked by mechanical stimulation to hairy skin than glabrous skin.
Collapse
Affiliation(s)
- Qicai Wang
- College of Textile Science and Engineering (International Institute of Silk)Key Laboratory of Intelligent Textile and Flexible Interconnection of Zhejiang ProvinceZhejiang Sci‐Tech UniversityHangzhouChina
| | - Yuan Tao
- High Fashion Womenswear InstituteHangzhou Vocational and Technical CollegeHangzhouZhejiangChina
| | - Tao Sun
- Department of RadiologyThe First Affiliated Hospital with Nanjing Medical UniversityNanjingChina
| | - Jie Yuan
- Clothing Engineering Research Center of Zhejiang ProvinceZhejiang Sci‐Tech UniversityHangzhouChina
| | - Jiayu Ao
- College of Textile Science and Engineering (International Institute of Silk)Key Laboratory of Intelligent Textile and Flexible Interconnection of Zhejiang ProvinceZhejiang Sci‐Tech UniversityHangzhouChina
| | - Xinghua Hong
- College of Textile Science and Engineering (International Institute of Silk)Key Laboratory of Intelligent Textile and Flexible Interconnection of Zhejiang ProvinceZhejiang Sci‐Tech UniversityHangzhouChina
| | - Zimin Jin
- College of Textile Science and Engineering (International Institute of Silk)Key Laboratory of Intelligent Textile and Flexible Interconnection of Zhejiang ProvinceZhejiang Sci‐Tech UniversityHangzhouChina
| | - Fangmeng Zeng
- College of Textile Science and Engineering (International Institute of Silk)Key Laboratory of Intelligent Textile and Flexible Interconnection of Zhejiang ProvinceZhejiang Sci‐Tech UniversityHangzhouChina
| | - Yutian Lei
- College of Education ScienceQuanzhou Normal UniversityFujianChina
| |
Collapse
|
22
|
Song L, Ren Y, Wang K, Hou Y, Nie J, He X. Mapping the time-varying functional brain networks in response to naturalistic movie stimuli. Front Neurosci 2023; 17:1199150. [PMID: 37397459 PMCID: PMC10311647 DOI: 10.3389/fnins.2023.1199150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
One of human brain's remarkable traits lies in its capacity to dynamically coordinate the activities of multiple brain regions or networks, adapting to an externally changing environment. Studying the dynamic functional brain networks (DFNs) and their role in perception, assessment, and action can significantly advance our comprehension of how the brain responds to patterns of sensory input. Movies provide a valuable tool for studying DFNs, as they offer a naturalistic paradigm that can evoke complex cognitive and emotional experiences through rich multimodal and dynamic stimuli. However, most previous research on DFNs have predominantly concentrated on the resting-state paradigm, investigating the topological structure of temporal dynamic brain networks generated via chosen templates. The dynamic spatial configurations of the functional networks elicited by naturalistic stimuli demand further exploration. In this study, we employed an unsupervised dictionary learning and sparse coding method combing with a sliding window strategy to map and quantify the dynamic spatial patterns of functional brain networks (FBNs) present in naturalistic functional magnetic resonance imaging (NfMRI) data, and further evaluated whether the temporal dynamics of distinct FBNs are aligned to the sensory, cognitive, and affective processes involved in the subjective perception of the movie. The results revealed that movie viewing can evoke complex FBNs, and these FBNs were time-varying with the movie storylines and were correlated with the movie annotations and the subjective ratings of viewing experience. The reliability of DFNs was also validated by assessing the Intra-class coefficient (ICC) among two scanning sessions under the same naturalistic paradigm with a three-month interval. Our findings offer novel insight into comprehending the dynamic properties of FBNs in response to naturalistic stimuli, which could potentially deepen our understanding of the neural mechanisms underlying the brain's dynamic changes during the processing of visual and auditory stimuli.
Collapse
Affiliation(s)
- Limei Song
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Yudan Ren
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Kexin Wang
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Yuqing Hou
- School of Information Science and Technology, Northwest University, Xi’an, China
| | - Jingsi Nie
- School of Foreign Studies, Xi’an Jiaotong University, Xi’an, China
| | - Xiaowei He
- School of Information Science and Technology, Northwest University, Xi’an, China
| |
Collapse
|
23
|
Zeng J, You L, Sheng H, Luo Y, Yang X. The differential neural substrates for reward choice under gain-loss contexts and risk in alcohol use disorder: Evidence from a voxel-based meta-analysis. Drug Alcohol Depend 2023; 248:109912. [PMID: 37182355 DOI: 10.1016/j.drugalcdep.2023.109912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/15/2023] [Accepted: 04/30/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Making a risky decision is a complex process that involves the evaluation of both the values of the options and the associated risk level; this process is distinct from reward processing in gain versus loss contexts. Although disrupted reward processing in mesolimbic dopamine circuitry is suggested to underlie pathological incentive processing in patients with alcohol use disorder (AUD), the differential neural processes subserving these motivational tendencies for risk situations or gain/loss choices in decision-making have not been identified. METHODS To examine the common or distinct neural mechanisms in the evaluation of risk versus outcomes for AUD, we conducted two separate coordinate-based meta-analyses of functional neuroimaging studies by using Seed-Based d Mapping software to evaluate 13 studies investigating gain and loss processing and 10 studies investigating risky decision-making. RESULTS During gain and loss processing, relative to healthy controls, AUD patients showed reduced activation in the mesocortical-limbic circuit, including the orbital prefrontal cortex (OFC), dorsal striatum, insula, hippocampus, cerebellum, cuneus cortex and superior temporal gyrus, but hyperactivation in the inferior temporal gyrus and paracentral lobule (extending to the middle cingulate cortex (MCC) and precuneus). During decision-making under risk, AUD patients exhibited hypoactivity of the prefrontal and cingulate cortices, including the posterior cingulate cortex (extending to the MCC), middle frontal gyrus, medial prefrontal cortex, dorsolateral prefrontal cortex, OFC and anterior cingulate cortex. CONCLUSIONS Our results extend existing neurological evidence by showing that a reduced response in the mesocortical-limbic circuit is found in gain versus loss processing, with decreased responsivity in cortical regions in risk decision-making. Our results implicate dissociable neural circuit responses for gain-loss processing and risk decision-making, which contribute to a better understanding of the pathophysiological mechanism underlying nondrug incentive and risk processing in individuals with AUD.
Collapse
Affiliation(s)
- Jianguang Zeng
- School of Economics and Business Administration, Chongqing University, Chongqing, China
| | - Lantao You
- School of Economics and Business Administration, Chongqing University, Chongqing, China
| | - Haoxuan Sheng
- School of Public Policy and Administration, Chongqing University, Chongqing, China
| | - Ya Luo
- Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Xun Yang
- School of Public Policy and Administration, Chongqing University, Chongqing, China.
| |
Collapse
|
24
|
Klingner CM, Guntinas-Lichius O. Facial expression and emotion. Laryngorhinootologie 2023; 102:S115-S125. [PMID: 37130535 PMCID: PMC10171334 DOI: 10.1055/a-2003-5687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Human facial expressions are unique in their ability to express our emotions and communicate them to others. The mimic expression of basic emotions is very similar across different cultures and has also many features in common with other mammals. This suggests a common genetic origin of the association between facial expressions and emotion. However, recent studies also show cultural influences and differences. The recognition of emotions from facial expressions, as well as the process of expressing one's emotions facially, occurs within an extremely complex cerebral network. Due to the complexity of the cerebral processing system, there are a variety of neurological and psychiatric disorders that can significantly disrupt the coupling of facial expressions and emotions. Wearing masks also limits our ability to convey and recognize emotions through facial expressions. Through facial expressions, however, not only "real" emotions can be expressed, but also acted ones. Thus, facial expressions open up the possibility of faking socially desired expressions and also of consciously faking emotions. However, these pretenses are mostly imperfect and can be accompanied by short-term facial movements that indicate the emotions that are actually present (microexpressions). These microexpressions are of very short duration and often barely perceptible by humans, but they are the ideal application area for computer-aided analysis. This automatic identification of microexpressions has not only received scientific attention in recent years, but its use is also being tested in security-related areas. This article summarizes the current state of knowledge of facial expressions and emotions.
Collapse
Affiliation(s)
- Carsten M Klingner
- Hans Berger Department of Neurology, Jena University Hospital, Germany
- Biomagnetic Center, Jena University Hospital, Germany
| | | |
Collapse
|
25
|
Rodríguez-Borillo O, Roselló-Jiménez L, Guarque-Chabrera J, Palau-Batet M, Gil-Miravet I, Pastor R, Miquel M, Font L. Neural correlates of cocaine-induced conditioned place preference in the posterior cerebellar cortex. Front Behav Neurosci 2023; 17:1174189. [PMID: 37179684 PMCID: PMC10169591 DOI: 10.3389/fnbeh.2023.1174189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 04/06/2023] [Indexed: 05/15/2023] Open
Abstract
Introduction Addictive drugs are potent neuropharmacological agents capable of inducing long-lasting changes in learning and memory neurocircuitry. With repeated use, contexts and cues associated with consumption can acquire motivational and reinforcing properties of abused drugs, triggering drug craving and relapse. Neuroplasticity underlying drug-induced memories takes place in prefrontal-limbic-striatal networks. Recent evidence suggests that the cerebellum is also involved in the circuitry responsible for drug-induced conditioning. In rodents, preference for cocaine-associated olfactory cues has been shown to correlate with increased activity at the apical part of the granular cell layer in the posterior vermis (lobules VIII and IX). It is important to determine if the cerebellum's role in drug conditioning is a general phenomenon or is limited to a particular sensory modality. Methods The present study evaluated the role of the posterior cerebellum (lobules VIII and IX), together with the medial prefrontal cortex (mPFC), ventral tegmental area (VTA), and nucleus accumbens (NAc) using a cocaine-induced conditioned place preference procedure with tactile cues. Cocaine CPP was tested using ascending (3, 6, 12, and 24 mg/kg) doses of cocaine in mice. Results Compared to control groups (Unpaired and Saline animals), Paired mice were able to show a preference for the cues associated with cocaine. Increased activation (cFos expression) of the posterior cerebellum was found in cocaine CPP groups and showed a positive correlation with CPP levels. Such increases in cFos activity in the posterior cerebellum significantly correlated with cFos expression in the mPFC. Discussion Our data suggest that the dorsal region of the cerebellum could be an important part of the network that mediates cocaine-conditioned behavior.
Collapse
Affiliation(s)
| | | | - Julian Guarque-Chabrera
- Área de Psicobiología, Universitat Jaume I, Castellón de la Plana, Spain
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, NY, United States
| | - María Palau-Batet
- Área de Psicobiología, Universitat Jaume I, Castellón de la Plana, Spain
| | - Isis Gil-Miravet
- Unitat Predepartamental de Medicina, Universitat Jaume I, Castellón de la Plana, Spain
| | - Raúl Pastor
- Área de Psicobiología, Universitat Jaume I, Castellón de la Plana, Spain
| | - Marta Miquel
- Área de Psicobiología, Universitat Jaume I, Castellón de la Plana, Spain
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, NY, United States
| | - Laura Font
- Área de Psicobiología, Universitat Jaume I, Castellón de la Plana, Spain
| |
Collapse
|
26
|
Han S, Zheng R, Li S, Liu L, Wang C, Jiang Y, Wen M, Zhou B, Wei Y, Pang J, Li H, Zhang Y, Chen Y, Cheng J. Progressive brain structural abnormality in depression assessed with MR imaging by using causal network analysis. Psychol Med 2023; 53:2146-2155. [PMID: 34583785 DOI: 10.1017/s0033291721003986] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND As a neuroprogressive illness, depression is accompanied by brain structural abnormality that extends to many brain regions. However, the progressive structural alteration pattern remains unknown. METHODS To elaborate the progressive structural alteration of depression according to illness duration, we recruited 195 never-treated first-episode patients with depression and 130 healthy controls (HCs) undergoing T1-weighted MRI scans. Voxel-based morphometry method was adopted to measure gray matter volume (GMV) for each participant. Patients were first divided into three stages according to the length of illness duration, then we explored stage-specific GMV alterations and the causal effect relationship between them using causal structural covariance network (CaSCN) analysis. RESULTS Overall, patients with depression presented stage-specific GMV alterations compared with HCs. Regions including the hippocampus, the thalamus and the ventral medial prefrontal cortex (vmPFC) presented GMV alteration at onset of illness. Then as the illness advanced, others regions began to present GMV alterations. These results suggested that GMV alteration originated from the hippocampus, the thalamus and vmPFC then expanded to other brain regions. The results of CaSCN analysis revealed that the hippocampus and the vmPFC corporately exerted causal effect on regions such as nucleus accumbens, the precuneus and the cerebellum. In addition, GMV alteration in the hippocampus was also potentially causally related to that in the dorsolateral frontal gyrus. CONCLUSIONS Consistent with the neuroprogressive hypothesis, our results reveal progressive morphological alteration originating from the vmPFC and the hippocampus and further elucidate possible details about disease progression of depression.
Collapse
Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Caihong Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Yu Jiang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Mengmeng Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Bingqian Zhou
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Jianyue Pang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hengfen Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, China
| |
Collapse
|
27
|
Olson IR, Hoffman LJ, Jobson KR, Popal HS, Wang Y. Little brain, little minds: The big role of the cerebellum in social development. Dev Cogn Neurosci 2023; 60:101238. [PMID: 37004475 PMCID: PMC10067769 DOI: 10.1016/j.dcn.2023.101238] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/08/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Seminal work in the 1990's found alterations in the cerebellum of individuals with social disorders including autism spectrum disorder and schizophrenia. In neurotypical populations, distinct portions of the posterior cerebellum are consistently activated in fMRI studies of social cognition and it has been hypothesized that the cerebellum plays an essential role in social cognition, particularly in theory of mind. Here we review the lesion literature and find that the effect of cerebellar damage on social cognition is strongly linked to the age of insult, with dramatic impairments observed after prenatal insult, strong deficits observed after childhood damage, and mild and inconsistent deficits observed following damage to the adult cerebellum. To explain the developmental gradient, we propose that early in life, the forward model dominates cerebellar computations. The forward model learns and uses errors to help build schemas of our interpersonal worlds. Subsequently, we argue that once these schemas have been built up, the inverse model, which is the foundation of automatic processing, becomes dominant. We provide suggestions for how to test this, and also outline directions for future research.
Collapse
Affiliation(s)
- Ingrid R Olson
- Department of Psychology and Neuroscience, Temple University, Philadephia PA, USA.
| | - Linda J Hoffman
- Department of Psychology and Neuroscience, Temple University, Philadephia PA, USA
| | - Katie R Jobson
- Department of Psychology and Neuroscience, Temple University, Philadephia PA, USA
| | - Haroon S Popal
- Department of Psychology and Neuroscience, Temple University, Philadephia PA, USA
| | - Yin Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| |
Collapse
|
28
|
Liyana Arachige M, Seneviratne U, John N, Ma H, Phan TG. Mapping topography and network of brain injury in patients with disorders of consciousness. Front Neurol 2023; 14:1027160. [PMID: 37064187 PMCID: PMC10090673 DOI: 10.3389/fneur.2023.1027160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 03/14/2023] [Indexed: 03/31/2023] Open
Abstract
BackgroundThere is a growing interest in the topography of brain regions associated with disorders of consciousness. This has caused increased research output, yielding many publications investigating the topic with varying methodologies. The objective of this study was to ascertain the topographical regions of the brain most frequently associated with disorders of consciousness.MethodsWe performed a cross-sectional text-mining analysis of disorders of consciousness studies. A text mining algorithm built in the Python programming language searched documents for anatomical brain terminology. We reviewed primary PubMed studies between January 1st 2000 to 8th February 2023 for the search query “Disorders of Consciousness.” The frequency of brain regions mentioned in these articles was recorded, ranked, then built into a graphical network. Subgroup analysis was performed by evaluating the impact on our results if analyses were based on abstracts, full-texts, or topic-modeled groups (non-negative matrix factorization was used to create subgroups of each collection based on their key topics). Brain terms were ranked by their frequency and concordance was measured between subgroups. Graphical analysis was performed to explore relationships between the anatomical regions mentioned. The PageRank algorithm (used by Google to list search results in order of relevance) was used to determine global importance of the regions.ResultsThe PubMed search yielded 24,944 abstracts and 3,780 full texts. The topic-modeled subgroups contained 2015 abstracts and 283 full texts. Text Mining across all document groups concordantly ranked the thalamus the highest (Savage score = 11.716), followed by the precuneus (Savage score = 4.983), hippocampus (Savage score = 4.483). Graphical analysis had 5 clusters with the thalamus once again having the highest PageRank score (PageRank = 0.0344).ConclusionThe thalamus, precuneus and cingulate cortex are strongly associated with disorders of consciousness, likely due to the roles they play in maintaining awareness and involvement in the default mode network, respectively. The findings also suggest that other areas of the brain like the cerebellum, cuneus, amygdala and hippocampus also share connections to consciousness should be further investigated.
Collapse
Affiliation(s)
- Manoj Liyana Arachige
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Monash Health, Clayton, VIC, Australia
| | - Udaya Seneviratne
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Monash Health, Clayton, VIC, Australia
| | - Nevin John
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Monash Health, Clayton, VIC, Australia
| | - Henry Ma
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Monash Health, Clayton, VIC, Australia
| | - Thanh G. Phan
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Monash Health, Clayton, VIC, Australia
- *Correspondence: Thanh G. Phan,
| |
Collapse
|
29
|
Cheng B, Xu H, Zhou H, Guo Y, Roberts N, Li N, Hu X, Chen X, Xu K, Lan Y, Ma X, Cai X, Guo Y. Connectomic disturbances in Duchenne muscular dystrophy with mild cognitive impairment. Cereb Cortex 2023:6982730. [PMID: 36627244 DOI: 10.1093/cercor/bhac542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 01/12/2023] Open
Abstract
Duchenne muscular dystrophy (DMD) is frequently associated with mild cognitive deficits. However, the underlying disrupted brain connectome and the neural basis remain unclear. In our current study, 38 first-episode, treatment-naive patients with DMD and 22 matched healthy controls (HC) were enrolled and received resting-sate functional magnetic resonance imaging scans. Voxel-based degree centrality (DC), seed-based functional connectivity (FC), and clinical correlation were performed. Relative to HC, DMD patients had lower height, full Intellectual Quotients (IQ), and IQ-verbal comprehension. Significant increment of DC of DMD patients were found in the left dorsolateral prefrontal cortex (DLPFC.L) and right dorsomedial prefrontal cortex (DMPFC.R), while decreased DC were found in right cerebellum posterior lobe (CPL.R), right precentral/postcentral gyrus (Pre/Postcentral G.R). DMD patients had stronger FC in CPL.R-bilateral lingual gyrus, Pre/Postcentral G.R-Insular, and DMPFC.R-Precuneus.R, had attenuated FC in DLPFC.L-Insular. These abnormally functional couplings were closely associated with the extent of cognitive impairment, suggested an over-activation of default mode network and executive control network, and a suppression of primary sensorimotor cortex and cerebellum-visual circuit. The findings collectively suggest the distributed brain connectome disturbances maybe a neuroimaging biomarker in DMD patients with mild cognitive impairment.
Collapse
Affiliation(s)
- Bochao Cheng
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China.,Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Guoxue Street, Wuhou District, Chengdu, 610041, China
| | - Huayan Xu
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Hui Zhou
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Yi Guo
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China.,Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Guoxue Street, Wuhou District, Chengdu, 610041, China
| | - Neil Roberts
- Edinburgh Imaging Facility, School of Clinical Sciences, The Queen's Medical Research Institute (QMRI), University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom
| | - Na Li
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Xiao Hu
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Xijian Chen
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Ke Xu
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Yu Lan
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Xuejing Ma
- Department of Radiology, The First People's Hospital of Zunyi, Zunyi Medical University, Fenghuang Road, Huichuan District, Zunyi, 563099, China
| | - Xiaotang Cai
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China
| | - Yingkun Guo
- Department of Radiology, West China Second University Hospital, Sichuan University, South Renmin Road, Wuhou District, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, South Renmin Road, Wuhou District, Chengdu, 610041, China
| |
Collapse
|
30
|
Pour-Rashidi A, Namvar M, Iranmehr A, Carpaneto A, Hanaei S, Rezaei N. Psychological and Psychiatric Aspects of Brain and Spinal Cord Tumors. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1405:673-687. [PMID: 37452958 DOI: 10.1007/978-3-031-23705-8_26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Central nervous system (CNS) tumors are mainly diagnosed by physical symptoms such as paralysis, visual field defect, seizure, and loss of consciousness. The psychological and psychiatric background of CNS tumors, whether in preoperative or postoperative period, has long been a neglected topic; however, lately, many authors and researchers have paid more attention to these manifestations. Neurocognition is a subset of parameters, including attention, memory, mood, emotions, language production, personality, executive function, problem-solving, calculation, and spatial cognition, making up the patient's cognitive performance. Also, it is worthy to say that neurocognition is considered a parameter of quality of life (QoL). Currently, we know that neurocognitive disorders are a group of symptoms presenting by the patients. These symptoms may be the first picture of CNS lesions, which result in incorrect treatment, a higher financial burden on the patient and health system, and finally, poorer QoL and performance scale if they are not diagnosed early. Psychological and psychiatric problems such as depression, anxiety, and phobia following the CNS tumors have two aspects. These may present before any treatment resulting from the tumoral mass effect, peritumoral edema, or cerebral tissue disruption due to the space-occupying lesion. On the other hand, we can see these features after a kind of therapy such as surgery, medical therapy, or adjuvant therapy. Sometimes, the CNS tumors lead to psychosocial complications postoperatively. Indeed, considering tumor surgery complications, some patients may find various degrees of deficits that make the patient isolated either socially or professionally. Obviously, the improvement rate and outcome of this specific situation depend on the mechanism of occurrence and its causes. For instance, postoperative symptom relief would be expected when the symptoms are related to the tumoral mass effect. Getting familiar with this constellation of the symptoms, realizing them, and then localizing them to the correct area of the CNS are very crucial. Accordingly, because of their importance in QoL, their influence on patient's survival even more than the extent of resection of the tumor, and somehow their ignorance, we will discuss different neurocognitive manifestations related to CNS tumors in this chapter.
Collapse
Affiliation(s)
- Ahmad Pour-Rashidi
- Department of Neurosurgery, Sina Hospital, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
| | - Mohamad Namvar
- Department of Neurosurgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Arad Iranmehr
- Department of Neurosurgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Allegra Carpaneto
- Department of Neuro-Oncology, University and City of Health and Science Hospital, Via Cherasco 15, 10126, Turin, Italy
| | - Sara Hanaei
- Department of Neurosurgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Nima Rezaei
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| |
Collapse
|
31
|
Zhang Y, Huang CC, Zhao J, Liu Y, Xia M, Wang X, Wei D, Chen Y, Liu B, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, He Y, Lin CP, Zac Lo CY. Resting-state functional connectivity of the raphe nuclei in major depressive Disorder: A Multi-site study. Neuroimage Clin 2023; 37:103359. [PMID: 36878150 PMCID: PMC9999207 DOI: 10.1016/j.nicl.2023.103359] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 11/06/2022] [Accepted: 02/20/2023] [Indexed: 03/06/2023]
Abstract
Accumulating evidence showed that major depressive disorder (MDD) is characterized by a dysfunction of serotonin neurotransmission. Raphe nuclei are the sources of most serotonergic neurons that project throughout the brain. Incorporating measurements of activity within the raphe nuclei into the analysis of connectivity characteristics may contribute to understanding how neurotransmitter synthesized centers are involved in thepathogenesisof MDD. Here, we analyzed the resting-state functional magnetic resonance imaging (RS-fMRI) dataset from 1,148 MDD patients and 1,079 healthy individuals recruited across nine centers. A seed-based analysis with the dorsal raphe and median raphe nuclei was performed to explore the functional connectivity (FC) alterations. Compared to controls, for dorsal raphe, the significantly decreased FC linking with the right precuneus and median cingulate cortex were found; for median raphe, the increased FC linking with right superior cerebellum (lobules V/VI) was found in MDD patients. In further exploratory analyzes, MDD-related connectivity alterations in dorsal and median raphe nuclei in different clinical factors remained highly similar to the main findings, indicating these abnormal connectivities are a disease-related alteration. Our study highlights a functional dysconnection pattern of raphe nuclei in MDD with multi-site big data. These findings help improve our understanding of the pathophysiology of depression and provide evidence of the theoretical foundation for the development of novel pharmacotherapies.
Collapse
Affiliation(s)
- Yajuan Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Chu-Chung Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Changning Mental Health Center, Shanghai, China.
| | - Jiajia Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Yuchen Liu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Mingrui Xia
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiaoqin Wang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Dongtao Wei
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bangshan Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Mental Health Institute of Central South University, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Yanting Zheng
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yankun Wu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Taolin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Tianmei Si
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Lingjiang Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Mental Health Institute of Central South University, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Institute for Brain Research, Beijing, China
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | | | - Chun-Yi Zac Lo
- Department of Biomedical Engineering, Chung Yuan Christian University, Taoyuan, 32023, Taiwan.
| |
Collapse
|
32
|
Jamshidi J, Park HRP, Montalto A, Fullerton JM, Gatt JM. Wellbeing and brain structure: A comprehensive phenotypic and genetic study of image-derived phenotypes in the UK Biobank. Hum Brain Mapp 2022; 43:5180-5193. [PMID: 35765890 PMCID: PMC9812238 DOI: 10.1002/hbm.25993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 01/15/2023] Open
Abstract
Wellbeing, an important component of mental health, is influenced by genetic and environmental factors. Previous association studies between brain structure and wellbeing have typically focused on volumetric measures and employed small cohorts. Using the UK Biobank Resource, we explored the relationships between wellbeing and brain morphometrics (volume, thickness and surface area) at both phenotypic and genetic levels. The sample comprised 38,982 participants with neuroimaging and wellbeing phenotype data, of which 19,234 had genotypes from which wellbeing polygenic scores (PGS) were calculated. We examined the association of wellbeing phenotype and PGS with all brain regions (including cortical, subcortical, brainstem and cerebellar regions) using multiple linear models, including (1) basic neuroimaging covariates and (2) additional demographic factors that may synergistically impact wellbeing and its neural correlates. Genetic correlations between genomic variants influencing wellbeing and brain structure were also investigated. Small but significant associations between wellbeing and volumes of several cerebellar structures (β = 0.015-0.029, PFDR = 0.007-3.8 × 10-9 ), brainstem, nucleus accumbens and caudate were found. Cortical associations with wellbeing included volume of right lateral occipital, thickness of bilateral lateral occipital and cuneus, and surface area of left superior parietal, supramarginal and pre-/post-central regions. Wellbeing-PGS was associated with cerebellar volumes and supramarginal surface area. Small mediation effects of wellbeing phenotype and PGS on right VIIIb cerebellum were evident. No genetic correlation was found between wellbeing and brain morphometric measures. We provide a comprehensive overview of wellbeing-related brain morphometric variation. Notably, small effect sizes reflect the multifaceted nature of this concept.
Collapse
Affiliation(s)
- Javad Jamshidi
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Haeme R. P. Park
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Arthur Montalto
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Janice M. Fullerton
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - Justine M. Gatt
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| |
Collapse
|
33
|
Leisman G. On the Application of Developmental Cognitive Neuroscience in Educational Environments. Brain Sci 2022; 12:1501. [PMID: 36358427 PMCID: PMC9688360 DOI: 10.3390/brainsci12111501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/25/2022] [Accepted: 11/01/2022] [Indexed: 09/29/2023] Open
Abstract
The paper overviews components of neurologic processing efficiencies to develop innovative methodologies and thinking to school-based applications and changes in educational leadership based on sound findings in the cognitive neurosciences applied to schools and learners. Systems science can allow us to better manage classroom-based learning and instruction on the basis of relatively easily evaluated efficiencies or inefficiencies and optimization instead of simply examining achievement. "Medicalizing" the learning process with concepts such as "learning disability" or employing grading methods such as pass-fail does little to aid in understanding the processes that learners employ to acquire, integrate, remember, and apply information learned. The paper endeavors to overview and provided reference to tools that can be employed that allow a better focus on nervous system-based strategic approaches to classroom learning.
Collapse
Affiliation(s)
- Gerry Leisman
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa 3498838, Israel; or
- Department of Neurology, Universidad de Ciencias Médicas de la Habana, Havana 11300, Cuba
| |
Collapse
|
34
|
Chen CY, Seward CH, Song Y, Inamdar M, Leddy AM, Zhang H, Yoo J, Kao WC, Pawlowski H, Stubbs LJ. Galnt17 loss-of-function leads to developmental delay and abnormal coordination, activity, and social interactions with cerebellar vermis pathology. Dev Biol 2022; 490:155-171. [PMID: 36002036 PMCID: PMC10671221 DOI: 10.1016/j.ydbio.2022.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 11/30/2022]
Abstract
GALNT17 encodes a N-acetylgalactosaminyltransferase (GalNAc-T) protein specifically involved in mucin-type O-linked glycosylation of target proteins, a process important for cell adhesion, cell signaling, neurotransmitter activity, neurite outgrowth, and neurite sensing. GALNT17, also known as WBSCR17, is located at the edge of the Williams-Beuren Syndrome (WBS) critical region and adjacent to the AUTS2 locus, genomic regions associated with neurodevelopmental phenotypes that are thought to be co-regulated. Although previous data have implicated Galnt17 in neurodevelopment, the in vivo functions of this gene have not been investigated. In this study, we have analyzed behavioral, brain pathology, and molecular phenotypes exhibited by Galnt17 knockout (Galnt17-/-) mice. We show that Galnt17-/- mutants exhibit developmental neuropathology within the cerebellar vermis, along with abnormal activity, coordination, and social interaction deficits. Transcriptomic and protein analysis revealed reductions in both mucin type O-glycosylation and heparan sulfate synthesis in the developing mutant cerebellum along with disruption of pathways central to neuron differentiation, axon pathfinding, and synaptic signaling, consistent with the mutant neuropathology. These brain and behavioral phenotypes and molecular data confirm a specific role for Galnt17 in brain development and suggest new clues to factors that could contribute to phenotypes in certain WBS and AUTS2 syndrome patients.
Collapse
Affiliation(s)
- Chih-Ying Chen
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA; Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA.
| | - Christopher H Seward
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA; Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA
| | - Yunshu Song
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA; Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA
| | - Manasi Inamdar
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA
| | - Analise M Leddy
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA
| | - Huimin Zhang
- Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA
| | - Jennifer Yoo
- Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA
| | - Wei-Chun Kao
- Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA
| | - Hanna Pawlowski
- Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA
| | - Lisa J Stubbs
- Pacific Northwest Research Institute, Seattle, WA, 98122, USA; Carl R. Woese Institute for Genomic Biology and School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA.
| |
Collapse
|
35
|
Hilber P. The Role of the Cerebellar and Vestibular Networks in Anxiety Disorders and Depression: the Internal Model Hypothesis. CEREBELLUM (LONDON, ENGLAND) 2022; 21:791-800. [PMID: 35414040 DOI: 10.1007/s12311-022-01400-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 06/14/2023]
Abstract
Clinical data and animal studies confirmed that the cerebellum and the vestibular system are involved in emotions. Nowadays, no real consensus has really emerged to explain the clinical symptoms in humans and behavioral deficits in the animal models. We envisage here that the cerebellum and the vestibular system play complementary roles in emotional reactivity. The cerebellum integrates a large variety of exteroceptive and proprioceptive information necessary to elaborate and to update the internal model: in emotion, as in motor processes, it helps our body and self to adapt to the environment, and to anticipate any changes in such environment in order to produce a time-adapted response. The vestibular system provides relevant environmental stimuli (i.e., gravity, self-position, and movement) and is involved in self-perception. Consequently, cerebellar or vestibular disorders could generate « internal fake news» (due to lack or false sensory information and/or integration) that could, in turn, generate potential internal model deficiencies. In this case, the alterations provoke false anticipation of motor command and external sensory feedback, associated with unsuited behaviors. As a result, the individual becomes progressively unable to cope with the environmental solicitation. We postulate that chronically unsuited, and potentially inefficient, behavioral and visceral responses to environmental solicitations lead to stressful situations. Furthermore, this inability to adapt to the context of the situation generates chronic anxiety which could precede depressive states.
Collapse
Affiliation(s)
- Pascal Hilber
- UNIROUEN, INSERM U1245, Cancer and Brain Genomics, Normandie University, 76000, Rouen, France.
- Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France.
| |
Collapse
|
36
|
Wang Y, Wu R, Li L, Ma J, Yang W, Dai Z. Common and distinct neural substrates of the compassionate and uncompassionate self-responding dimensions of self-compassion. Brain Imaging Behav 2022; 16:2667-2680. [DOI: 10.1007/s11682-022-00723-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/26/2022] [Indexed: 11/02/2022]
|
37
|
Cheng B, Guo Y, Chen X, Lv B, Liao Y, Qu H, Hu X, Yang H, Meng Y, Deng W, Wang J. Postpartum depression and major depressive disorder: the same or not? Evidence from resting-state functional MRI. PSYCHORADIOLOGY 2022; 2:121-128. [PMID: 38665602 PMCID: PMC10917173 DOI: 10.1093/psyrad/kkac015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/18/2022] [Accepted: 10/27/2022] [Indexed: 04/28/2024]
Abstract
Background Although postpartum depression (PPD) and non-peripartum major depressive disorder (MDD) occurring within and outside the postpartum period share many clinical characteristics, whether PPD and MDD are the same or not remains controversial. Methods The current study was devoted to identify the shared and different neural circuits between PPD and MDD by resting-state functional magnetic resonance imaging data from 77 participants (22 first-episodic drug-naïve MDD, 26 drug-naïve PPD, and 29 healthy controls (HC)). Results Both the PPD and MDD groups exhibited higher fractional amplitude of low-frequency fluctuation (fALFF) in left temporal pole relative to the HC group; the MDD group showed specifically increased degree centrality in the right cerebellum while PPD showed specifically decreased fALFF in the left supplementary motor area and posterior middle temporal gyrus (pMTG_L), and specifically decreased functional connectivities between pMTG and precuneus and between left subgeneual anterior cingulate cortex (sgACC_L) and right sgACC. Moreover, sgACC and left thalamus showed abnormal regional homogeneity of functional activities between any pair of HC, MDD, and PPD. Conclusions These results provide initial evidence that PPD and MDD have common and distinct neural circuits, which may facilitate understanding the neurophysiological basis and precision treatment for PPD.
Collapse
Affiliation(s)
- Bochao Cheng
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, China
| | - Yi Guo
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Xijian Chen
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Bin Lv
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yi Liao
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Haibo Qu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Xiao Hu
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Haoxiang Yang
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Yajing Meng
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Wei Deng
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310063, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| |
Collapse
|
38
|
Psycho-Neuro-Endocrine-Immunology: A Role for Melatonin in This New Paradigm. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27154888. [PMID: 35956837 PMCID: PMC9370109 DOI: 10.3390/molecules27154888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/19/2022] [Accepted: 07/27/2022] [Indexed: 11/23/2022]
Abstract
Psychoneuroendocrinoimmunology is the area of study of the intimate relationship between immune, physical, emotional, and psychological aspects. This new way of studying the human body and its diseases was initiated in the last century’s first decades. However, the molecules that participate in the communication between the immune, endocrine, and neurological systems are still being discovered. This paper aims to describe the development of psychoneuroendocrinoimmunology, its scopes, limitations in actual medicine, and the extent of melatonin within it.
Collapse
|
39
|
Tsutsumi Y, Sato F, Furuta T, Uchino K, Moritani M, Bae YC, Kato T, Tachibana Y, Yoshida A. The Cerebellar Cortex Receives Orofacial Proprioceptive Signals from the Supratrigeminal Nucleus via the Mossy Fiber Pathway in Rats. CEREBELLUM (LONDON, ENGLAND) 2022:10.1007/s12311-022-01434-z. [PMID: 35781609 DOI: 10.1007/s12311-022-01434-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
Proprioceptive sensory information from muscle spindles is essential for the regulation of motor functions. However, little is known about the motor control regions in the cerebellar cortex that receive proprioceptive signals from muscle spindles distributed throughout the body, including the orofacial muscles. Therefore, in this study, we investigated the pattern of projections in the rat cerebellar cortex derived from the supratrigeminal nucleus (Su5), which conveys orofacial proprioceptive information from jaw-closing muscle spindles (JCMSs). Injections of an anterograde tracer into the Su5 revealed that many bilateral axon terminals (rosettes) were distributed in the granular layer of the cerebellar cortex (including the simple lobule B, crus II and flocculus) in a various sized, multiple patchy pattern. We could also detect JCMS proprioceptive signals in these cerebellar cortical regions, revealing for the first time that they receive muscle proprioceptive inputs in rats. Retrograde tracer injections confirmed that the Su5 directly sends outputs to the cerebellar cortical areas. Furthermore, we injected an anterograde tracer into the external cuneate nucleus (ECu), which receives proprioceptive signals from the forelimb and neck muscle spindles, to distinguish between the Su5- and ECu-derived projections in the cerebellar cortex. The labeled terminals from the ECu were distributed predominantly in the vermis of the cerebellar cortex. Almost no overlap was seen in the terminal distributions of the Su5 and ECu projections. Our findings demonstrate that the rat cerebellar cortex receives orofacial proprioceptive input that is processed differently from the proprioceptive signals from the other regions of the body.
Collapse
Affiliation(s)
- Yumi Tsutsumi
- Department of Oral Anatomy and Neurobiology, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Fumihiko Sato
- Department of Oral Anatomy and Neurobiology, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Takahiro Furuta
- Department of Oral Anatomy and Neurobiology, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Katsuro Uchino
- Faculty of Health Care Science, Takarazuka University of Medical and Health Care, Takarazuka, Hyogo, 666-0162, Japan
| | - Masayuki Moritani
- Department of Physical Therapy, Faculty of Health Science, Morinomiya University of Medical Sciences, Osaka, 559-8611, Japan
| | - Yong Chul Bae
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, Daegu, 700-412, Korea
| | - Takafumi Kato
- Department of Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Osaka, 565-0871, Japan
| | - Yoshihisa Tachibana
- Division of Physiology and Cell Biology, Kobe University Graduate School of Medicine, Kobe, Hyogo, 650-0017, Japan
| | - Atsushi Yoshida
- Department of Oral Anatomy and Neurobiology, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka, 565-0871, Japan.
- Faculty of Health Care Science, Takarazuka University of Medical and Health Care, Takarazuka, Hyogo, 666-0162, Japan.
| |
Collapse
|
40
|
Frazier MR, Hoffman LJ, Popal H, Sullivan-Toole H, Olino TM, Olson IR. A missing link in affect regulation: the cerebellum. Soc Cogn Affect Neurosci 2022; 17:1068-1081. [PMID: 35733348 PMCID: PMC9714429 DOI: 10.1093/scan/nsac042] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/05/2022] [Accepted: 06/21/2022] [Indexed: 01/12/2023] Open
Abstract
The cerebellum is one-third the size of the cerebrum yet holds twice the number of neurons. Historically, its sole function was thought to be in the calibration of smooth movements through the creation and ongoing modification of motor programs. This traditional viewpoint has been challenged by findings showing that cerebellar damage can lead to striking changes in non-motor behavior, including emotional changes. In this manuscript, we review the literature on clinical and subclinical affective disturbances observed in individuals with lesions to the cerebellum. Disorders include pathological laughing and crying, bipolar disorder, depression and mixed mood changes. We propose a theoretical model based on cerebellar connectivity to explain how the cerebellum calibrates affect. We conclude with actionable steps for future researchers to test this model and improve upon the limitations of past literature.
Collapse
Affiliation(s)
| | - Linda J Hoffman
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Haroon Popal
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | | | - Thomas M Olino
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Ingrid R Olson
- Correspondence should be addressed to Ingrid R. Olson, Department of Psychology, Temple University, 1701 N. 13th Street, Philadelphia, PA 19122, USA. E-mail:
| |
Collapse
|
41
|
Xu XM, Wang J, Salvi R, Liu LJ, Chen YC, Teng GJ. Altered resting-state functional connectivity of the anterior cingulate cortex in rats post noise exposure. CNS Neurosci Ther 2022; 28:1547-1556. [PMID: 35726754 PMCID: PMC9437238 DOI: 10.1111/cns.13896] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 04/29/2022] [Accepted: 06/04/2022] [Indexed: 11/30/2022] Open
Abstract
Aims We aimed to find where and how noise‐induced cochlear hearing loss affects the central nervous system during the early state and identify the neural substrate for aberrant patterns that mediating noise‐related anxiety−/depression‐ like behaviors. Methods Broad band noise with 122 dB for 2 hours was conducted to induce hearing loss. We defined 0 day (N0D) and 10 days (N10D) post noise as the acute and sub‐acute period. Behavioral tests (Open field test and light/dark test) and resting‐state fMRI were computed to evaluate emotional conditions and aberrant neural activity. Functional connectivity analysis using the anterior cingulate cortex as a seed was computed to reveal the spatial distribution beyond auditory network during both periods. Results Anxiety−/depression‐like behaviors were found in rats with noise exposure. Between‐group analysis revealed that N0D rats displayed widespread reductions in functional connectivity, spanning primary somatosensory cortex, medial geniculate body, inferior colliculus, cingulate cortex, cerebellar lobule comparing with N10D rats and a similar pattern was also occurred in comparison with the control group. Conclusion Taken together, an “acoustic‐causing” network accounting for distress and gating of noise exposure related anxiety/depression was proposed.
Collapse
Affiliation(s)
- Xiao-Min Xu
- Jiangsu Key Laboratory of Molecular Imaging and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.,Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jian Wang
- School of Human Communication Disorders, Dalhousie University, Halifax, Canada
| | - Richard Salvi
- Center for Hearing and Deafness, University at Buffalo, Buffalo, New York, USA
| | - Li-Jie Liu
- Department of Physiology, Southeast University, Nanjing, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Gao-Jun Teng
- Jiangsu Key Laboratory of Molecular Imaging and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| |
Collapse
|
42
|
Jung SJ, Vlasov K, D’Ambra AF, Parigi A, Baya M, Frez EP, Villalobos J, Fernandez-Frentzel M, Anguiano M, Ideguchi Y, Antzoulatos EG, Fioravante D. Novel Cerebello-Amygdala Connections Provide Missing Link Between Cerebellum and Limbic System. Front Syst Neurosci 2022; 16:879634. [PMID: 35645738 PMCID: PMC9136059 DOI: 10.3389/fnsys.2022.879634] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 04/05/2022] [Indexed: 02/06/2023] Open
Abstract
The cerebellum is emerging as a powerful regulator of cognitive and affective processing and memory in both humans and animals and has been implicated in affective disorders. How the cerebellum supports affective function remains poorly understood. The short-latency (just a few milliseconds) functional connections that were identified between the cerebellum and amygdala—a structure crucial for the processing of emotion and valence—more than four decades ago raise the exciting, yet untested, possibility that a cerebellum-amygdala pathway communicates information important for emotion. The major hurdle in rigorously testing this possibility is the lack of knowledge about the anatomy and functional connectivity of this pathway. Our initial anatomical tracing studies in mice excluded the existence of a direct monosynaptic connection between the cerebellum and amygdala. Using transneuronal tracing techniques, we have identified a novel disynaptic circuit between the cerebellar output nuclei and the basolateral amygdala. This circuit recruits the understudied intralaminar thalamus as a node. Using ex vivo optophysiology and super-resolution microscopy, we provide the first evidence for the functionality of the pathway, thus offering a missing mechanistic link between the cerebellum and amygdala. This discovery provides a connectivity blueprint between the cerebellum and a key structure of the limbic system. As such, it is the requisite first step toward obtaining new knowledge about cerebellar function in emotion, thus fundamentally advancing understanding of the neurobiology of emotion, which is perturbed in mental and autism spectrum disorders.
Collapse
Affiliation(s)
- Se Jung Jung
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Ksenia Vlasov
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Alexa F. D’Ambra
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Abhijna Parigi
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Mihir Baya
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Edbertt Paul Frez
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | | | | | - Maribel Anguiano
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Yoichiro Ideguchi
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
| | - Evan G. Antzoulatos
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
- Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA, United States
| | - Diasynou Fioravante
- Center for Neuroscience, University of California, Davis, Davis, CA, United States
- Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA, United States
- *Correspondence: Diasynou Fioravante
| |
Collapse
|
43
|
Cui L, Li H, Li JB, Zeng H, Zhang Y, Deng W, Zhou W, Cao L. Altered cerebellar gray matter and cerebellar-cortex resting-state functional connectivity in patients with bipolar disorder Ⅰ. J Affect Disord 2022; 302:50-57. [PMID: 35074460 DOI: 10.1016/j.jad.2022.01.073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/16/2022] [Accepted: 01/18/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Bipolar disorder (BP) is a common psychiatric disorder characterized by extreme fluctuations in mood. Recent studies have indicated the involvement of cerebellum in the pathogenesis of BP. However, no study has focused on the precise role of cerebellum exclusively in patients with bipolar I disorder (BP-I). METHODS Forty-five patients with BP-I and 40 healthy controls were recruited. All subjects underwent clinical evaluation and Magnetic Resonance diffusion Tension Imaging scans. For structural images, we used a spatially unbiased infratentorial template toolbox to isolate the cerebellum and then preformed voxel-based morphometry (VBM) analyses to assess the difference in cerebellar gray matter volume (GMV) between the two groups. For the functional images, we chose the clusters that survived from VBM analysis as seeds and performed functional connectivity (FC) analysis. Between-group differences were assessed using the independent Students t test or the nonparametric Mann-Whitney U Test. For multiple comparisons, the results were further corrected with Gaussian random field (GRF) approach (voxel-level P < 0.001, cluster-level P < 0.05). RESULTS Compared with healthy controls, BP-I patients showed significantly decreased GMV in left lobule V and left lobule VI (P < 0.05, GRF corrected). The FC of cerebellum with bilateral superior temporal gyrus, bilateral insula, bilateral rolandic operculum, right putamen, and left precentral gyrus was disrupted in BP-I patients (P < 0.05, GRF corrected). CONCLUSIONS BP-I patients showed decreased cerebellar GMV and disrupted cerebellar-cortex resting-state FC. This suggests that cerebellar abnormalities may play an important role in the pathogenesis of BP-I.
Collapse
Affiliation(s)
- Liqian Cui
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China.
| | - Hao Li
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Jin Biao Li
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Huixing Zeng
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Yizhi Zhang
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Wenhao Deng
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Wenjin Zhou
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Liping Cao
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China.
| |
Collapse
|
44
|
Sun K, Liu Z, Chen G, Zhou Z, Zhong S, Tang Z, Wang S, Zhou G, Zhou X, Shao L, Ye X, Zhang Y, Jia Y, Pan J, Huang L, Liu X, Liu J, Tian J, Wang Y. A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods. J Affect Disord 2022; 300:1-9. [PMID: 34942222 DOI: 10.1016/j.jad.2021.12.065] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 09/13/2021] [Accepted: 12/19/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND The present study aimed to explore the difference in the brain function and structure between patients with major depressive disorder (MDD) and healthy controls (HCs) using two-center and multi-modal MRI data, which would be helpful to investigate the pathogenesis of MDD. METHODS The subjects were collected from two hospitals. One including 140 patients with MDD and 138 HCs was used as primary cohort. Another one including 29 patients with MDD and 52 HCs was used as validation cohort. Functional and structural magnetic resonance images (MRI) were acquired to extract four types of features: functional connectivity (FC), amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), and gray matter volume (GMV). Then classifiers using different combinations among the four types of selected features were respectively built to discriminate patients from HCs. Different templates were applied and the results under different templates were compared. RESULTS The classifier built with the combination of FC, ALFF, and GMV under the AAL template discriminated patients from HCs with the best performance (AUC=0.916, ACC=84.8%). The regions selected in all the different templates were mainly located in the default mode network, affective network, prefrontal cortex. LIMITATIONS First, the sample size of the validation cohort was limited. Second, diffusion tensor imaging data were not collected. CONCLUSION The performance of classifier was improved by using multi-modal MRI imaging. Different templates would be suitable for different types of analysis. The regions selected in all the different templates are possibly the core regions to investigate the pathophysiology of MDD.
Collapse
Affiliation(s)
- Kai Sun
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Zhenyu Liu
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Science, Beijing, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhifeng Zhou
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhenchao Tang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Shuo Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Guifei Zhou
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
| | - Xuezhi Zhou
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Lizhi Shao
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; School of Computer Science and Engineering, Southeast University, Nanjing, China
| | - Xiaoying Ye
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yingli Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiyang Pan
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xia Liu
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, China.
| | - Jiangang Liu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology.
| | - Jie Tian
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology; School of Artificial Intelligence, University of Chinese Academy of Science, Beijing, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
| |
Collapse
|
45
|
Baek SJ, Park JS, Kim J, Yamamoto Y, Tanaka-Yamamoto K. VTA-projecting cerebellar neurons mediate stress-dependent depression-like behaviors. eLife 2022; 11:72981. [PMID: 35156922 PMCID: PMC8843095 DOI: 10.7554/elife.72981] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 01/31/2022] [Indexed: 12/16/2022] Open
Abstract
Although cerebellar alterations have been implicated in stress symptoms, the exact contribution of the cerebellum to stress symptoms remains to be elucidated. Here, we demonstrated the crucial role of cerebellar neurons projecting to the ventral tegmental area (VTA) in the development of chronic stress-induced behavioral alterations in mice. Chronic chemogenetic activation of inhibitory Purkinje cells in crus I suppressed c-Fos expression in the DN and an increase in immobility in the tail suspension test or forced swimming test, which were triggered by chronic stress application. The combination of adeno-associated virus-based circuit mapping and electrophysiological recording identified network connections from crus I to the VTA via the dentate nucleus (DN) of the deep cerebellar nuclei. Furthermore, chronic inhibition of specific neurons in the DN that project to the VTA prevented stressed mice from showing such depression-like behavior, whereas chronic activation of these neurons alone triggered behavioral changes that were comparable with the depression-like behaviors triggered by chronic stress application. Our results indicate that the VTA-projecting cerebellar neurons proactively regulate the development of depression-like behavior, raising the possibility that cerebellum may be an effective target for the prevention of depressive disorders in human.
Collapse
Affiliation(s)
- Soo Ji Baek
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.,Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| | - Jin Sung Park
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.,Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| | - Jinhyun Kim
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.,Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| | - Yukio Yamamoto
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Keiko Tanaka-Yamamoto
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.,Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| |
Collapse
|
46
|
Social support mediates the influence of cerebellum functional connectivity strength on postpartum depression and postpartum depression with anxiety. Transl Psychiatry 2022; 12:54. [PMID: 35136017 PMCID: PMC8826948 DOI: 10.1038/s41398-022-01781-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/09/2021] [Accepted: 12/21/2021] [Indexed: 02/05/2023] Open
Abstract
Post-Partum Depression (PPD) is the most common health issue impacting emotional well being in women and is often comorbid with anxiety (PPD-A). Previous studies have shown that adequate social support can protect against PPD and PPD-A. However, how the brain connectome is disrupted in PPD and PPD-A and the neural basis underlying the role of social support in PPD and PPD-A remains unclear. The present study aims to explore these issues in patients with PPD and PPD-A. Well-established questionnaires and resting-state functional Magnetic Resonance Imaging (rsfMRI) were performed in 45 PPD, 31 PDD-A patients and 62 Healthy Postnatal Women (HPW). Brain functional integration was measured by analysis of Functional Connectivity Strength (FCS). Association and mediation analyses were performed to investigate relationships between FCS, PPD and PPD-A symptoms and social support. PPD patients showed specifically higher FCS in right parahippocampus, whereas PPD-A patients showed specifically higher FCS in left ventrolateral prefrontal cortex. In all postpartum women, depression symptoms positively correlated with FCS in left paracentral lobule; depression and anxiety symptoms were negatively correlated with FCS in right cerebellem posterior lobe (CPL), a brain region implicated in supporting social cognition and regulation of emotion. Subsequent mediation analysis revealed that perceived social support mediated the association between right CPL FCS and PPD and PPD-A symptoms. Measurement of FCS in disorder-specific neural circuits offers a potential biomarker to study and measure the efficacy of social support for PPD and PPD-A.
Collapse
|
47
|
Han H. Cerebellum and Emotion in Morality. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:179-194. [DOI: 10.1007/978-3-030-99550-8_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
|
48
|
Music and the Cerebellum. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:195-212. [DOI: 10.1007/978-3-030-99550-8_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
|
49
|
Introduction into the Role of the Cerebellum in Emotion. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:3-12. [DOI: 10.1007/978-3-030-99550-8_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
50
|
Baumann O, Mattingley JB. Cerebellum and Emotion Processing. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:25-39. [DOI: 10.1007/978-3-030-99550-8_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|