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Kronenberger WG, Castellanos I, Pisoni DB. Association of domain-general speed of information processing with spoken language outcomes in prelingually-deaf children with cochlear implants. Hear Res 2024; 450:109069. [PMID: 38889562 DOI: 10.1016/j.heares.2024.109069] [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: 12/19/2023] [Revised: 05/24/2024] [Accepted: 06/11/2024] [Indexed: 06/20/2024]
Abstract
Spoken language development after pediatric cochlear implantation requires rapid and efficient processing of novel, degraded auditory signals and linguistic information. These demands for rapid adaptation tax the information processing speed ability of children who receive cochlear implants. This study investigated the association of speed of information processing ability with spoken language outcomes after cochlear implantation in prelingually deaf children aged 4-6 years. Two domain-general (visual, non-linguistic) speed of information processing measures were administered to 21 preschool-aged children with cochlear implants and 23 normal-hearing peers. Measures of speech recognition, language (vocabulary and comprehension), nonverbal intelligence, and executive functioning skills were also obtained from each participant. Speed of information processing was positively associated with speech recognition and language skills in preschool-aged children with cochlear implants but not in normal-hearing peers. This association remained significant after controlling for hearing group, age, nonverbal intelligence, and executive functioning skills. These findings are consistent with models suggesting that domain-general, fast-efficient information processing speed underlies adaptation to speech perception and language learning following implantation. Assessment and intervention strategies targeting speed of information processing may provide better understanding and development of speech-language skills after cochlear implantation.
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Affiliation(s)
- William G Kronenberger
- Department of Otolaryngology - Head and Neck Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Irina Castellanos
- Department of Otolaryngology - Head and Neck Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - David B Pisoni
- Department of Otolaryngology - Head and Neck Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
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2
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Faris P, Pischedda D, Palesi F, D’Angelo E. New clues for the role of cerebellum in schizophrenia and the associated cognitive impairment. Front Cell Neurosci 2024; 18:1386583. [PMID: 38799988 PMCID: PMC11116653 DOI: 10.3389/fncel.2024.1386583] [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: 02/15/2024] [Accepted: 04/26/2024] [Indexed: 05/29/2024] Open
Abstract
Schizophrenia (SZ) is a complex neuropsychiatric disorder associated with severe cognitive dysfunction. Although research has mainly focused on forebrain abnormalities, emerging results support the involvement of the cerebellum in SZ physiopathology, particularly in Cognitive Impairment Associated with SZ (CIAS). Besides its role in motor learning and control, the cerebellum is implicated in cognition and emotion. Recent research suggests that structural and functional changes in the cerebellum are linked to deficits in various cognitive domains including attention, working memory, and decision-making. Moreover, cerebellar dysfunction is related to altered cerebellar circuit activities and connectivity with brain regions associated with cognitive processing. This review delves into the role of the cerebellum in CIAS. We initially consider the major forebrain alterations in CIAS, addressing impairments in neurotransmitter systems, synaptic plasticity, and connectivity. We then focus on recent findings showing that several mechanisms are also altered in the cerebellum and that cerebellar communication with the forebrain is impaired. This evidence implicates the cerebellum as a key component of circuits underpinning CIAS physiopathology. Further studies addressing cerebellar involvement in SZ and CIAS are warranted and might open new perspectives toward understanding the physiopathology and effective treatment of these disorders.
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Affiliation(s)
- Pawan Faris
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Doris Pischedda
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Fulvia Palesi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Egidio D’Angelo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Digital Neuroscience Center, IRCCS Mondino Foundation, Pavia, Italy
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3
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Ma K, Zhou T, Pu C, Cheng Z, Han X, Yang L, Yu X. The Bidirectional Relationship between Weight Gain and Cognitive Function in First-Episode Schizophrenia: A Longitudinal Study in China. Brain Sci 2024; 14:310. [PMID: 38671962 PMCID: PMC11048552 DOI: 10.3390/brainsci14040310] [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: 02/25/2024] [Revised: 03/13/2024] [Accepted: 03/17/2024] [Indexed: 04/28/2024] Open
Abstract
Patients with schizophrenia often encounter notable weight gain during their illness, heightening the risk of metabolic diseases. While previous studies have noted a correlation between obesity and cognitive impairment in schizophrenia, many were cross-sectional, posing challenges in establishing a causal relationship between weight gain and cognitive function. The aim of this longitudinal study is to examine the relationship between weight gain and cognitive function in patients with first-episode schizophrenia (FES) during the initial 6-month antipsychotic treatments. Employing linear and logistic regression analyses, the study involved 337 participants. Significantly, baseline scores in processing speed (OR = 0.834, p = 0.007), working memory and attention (OR = 0.889, p = 0.043), and executive function (OR = 0.862, p = 0.006) were associated with clinically relevant weight gain (CRW, defined as an increase in body weight > 7%) at the 6-month endpoint. On the other hand, CRW correlated with improvements in the Brief Visuospatial Memory Test (p = 0.037). These findings suggest that patients with lower baseline cognitive performance undergo more substantial weight gain. Conversely, weight gain was correlated with cognitive improvements, particularly in the domain of visual learning and memory. This suggested a potential bidirectional relationship between weight gain and cognitive function in first-episode schizophrenia patients.
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Affiliation(s)
- Ke Ma
- Department of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Tianhang Zhou
- Peking University Sixth Hospital, Beijing 100191, China
- Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- NHC Key Laboratory of Mental Health, Peking University, Beijing 100191, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Chengcheng Pu
- Peking University Sixth Hospital, Beijing 100191, China
- Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- NHC Key Laboratory of Mental Health, Peking University, Beijing 100191, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Zhang Cheng
- Peking University Sixth Hospital, Beijing 100191, China
- Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- NHC Key Laboratory of Mental Health, Peking University, Beijing 100191, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Xue Han
- Peking University Sixth Hospital, Beijing 100191, China
- Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- NHC Key Laboratory of Mental Health, Peking University, Beijing 100191, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Lei Yang
- Peking University Sixth Hospital, Beijing 100191, China
- Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- NHC Key Laboratory of Mental Health, Peking University, Beijing 100191, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Xin Yu
- Peking University Sixth Hospital, Beijing 100191, China
- Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- NHC Key Laboratory of Mental Health, Peking University, Beijing 100191, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
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4
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Petríková D, Marko M, Rovný R, Riečanský I. Electrical stimulation of the cerebellum facilitates automatic but not controlled word retrieval. Brain Struct Funct 2023; 228:2137-2146. [PMID: 37783862 PMCID: PMC10587269 DOI: 10.1007/s00429-023-02712-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/10/2023] [Indexed: 10/04/2023]
Abstract
Recent research has indicated that the cerebellum is engaged in language functions, yet the role of the cerebellum in lexical-semantic memory is poorly understood. In a double-blind randomized controlled experiment, we therefore targeted the cerebellum by transcranial direct current stimulation (tDCS) to assess and compare the contribution of the cerebellar processing to automatic and controlled retrieval of words in healthy adults (n = 136). Anodal cerebellar tDCS facilitated retrieval of semantically related words in free-associative chains, which was not due to a non-specific acceleration of processing speed. The stimulation had no influence on controlled word retrieval that employed inhibition or switching. The effect of cathodal tDCS was opposite to the anodal stimulation, but statistically non-significant. Our data show that the cerebellum is engaged extracting associative information from the system of semantic representations, established and strengthened/automated by learning, and indicates a domain-general role of this structure in automation of behavior, cognition and language.
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Affiliation(s)
- Dominika Petríková
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Sienkiewiczova 1, 81371, Bratislava, Slovakia
| | - Martin Marko
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Sienkiewiczova 1, 81371, Bratislava, Slovakia
- Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovakia
| | - Rastislav Rovný
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Sienkiewiczova 1, 81371, Bratislava, Slovakia
| | - Igor Riečanský
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Sienkiewiczova 1, 81371, Bratislava, Slovakia.
- Department of Psychiatry, Faculty of Medicine, Slovak Medical University in Bratislava, Bratislava, Slovakia.
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Magielse N, Heuer K, Toro R, Schutter DJLG, Valk SL. A Comparative Perspective on the Cerebello-Cerebral System and Its Link to Cognition. CEREBELLUM (LONDON, ENGLAND) 2023; 22:1293-1307. [PMID: 36417091 PMCID: PMC10657313 DOI: 10.1007/s12311-022-01495-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/11/2022] [Indexed: 11/24/2022]
Abstract
The longstanding idea that the cerebral cortex is the main neural correlate of human cognition can be elaborated by comparative analyses along the vertebrate phylogenetic tree that support the view that the cerebello-cerebral system is suited to support non-motor functions more generally. In humans, diverse accounts have illustrated cerebellar involvement in cognitive functions. Although the neocortex, and its transmodal association cortices such as the prefrontal cortex, have become disproportionately large over primate evolution specifically, human neocortical volume does not appear to be exceptional relative to the variability within primates. Rather, several lines of evidence indicate that the exceptional volumetric increase of the lateral cerebellum in conjunction with its connectivity with the cerebral cortical system may be linked to non-motor functions and mental operation in primates. This idea is supported by diverging cerebello-cerebral adaptations that potentially coevolve with cognitive abilities across other vertebrates such as dolphins, parrots, and elephants. Modular adaptations upon the vertebrate cerebello-cerebral system may thus help better understand the neuroevolutionary trajectory of the primate brain and its relation to cognition in humans. Lateral cerebellar lobules crura I-II and their reciprocal connections to the cerebral cortical association areas appear to have substantially expanded in great apes, and humans. This, along with the notable increase in the ventral portions of the dentate nucleus and a shift to increased relative prefrontal-cerebellar connectivity, suggests that modular cerebellar adaptations support cognitive functions in humans. In sum, we show how comparative neuroscience provides new avenues to broaden our understanding of cerebellar and cerebello-cerebral functions in the context of cognition.
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Affiliation(s)
- Neville Magielse
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Center Jülich, Jülich, Germany
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Systems Neuroscience, Heinrich Heine University, Düsseldorf, Germany
| | - Katja Heuer
- Institute Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, Paris, France
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Roberto Toro
- Institute Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, Paris, France
| | - Dennis J L G Schutter
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Sofie L Valk
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Center Jülich, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- Institute of Systems Neuroscience, Heinrich Heine University, Düsseldorf, Germany.
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Magielse N, Toro R, Steigauf V, Abbaspour M, Eickhoff SB, Heuer K, Valk SL. Phylogenetic comparative analysis of the cerebello-cerebral system in 34 species highlights primate-general expansion of cerebellar crura I-II. Commun Biol 2023; 6:1188. [PMID: 37993596 PMCID: PMC10665558 DOI: 10.1038/s42003-023-05553-z] [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: 03/16/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023] Open
Abstract
The reciprocal connections between the cerebellum and the cerebrum have been suggested to simultaneously play a role in brain size increase and to support a broad array of brain functions in primates. The cerebello-cerebral system has undergone marked functionally relevant reorganization. In particular, the lateral cerebellar lobules crura I-II (the ansiform) have been suggested to be expanded in hominoids. Here, we manually segmented 63 cerebella (34 primate species; 9 infraorders) and 30 ansiforms (13 species; 8 infraorders) to understand how their volumes have evolved over the primate lineage. Together, our analyses support proportional cerebellar-cerebral scaling, whereas ansiforms have expanded faster than the cerebellum and cerebrum. We did not find different scaling between strepsirrhines and haplorhines, nor between apes and non-apes. In sum, our study shows primate-general structural reorganization of the ansiform, relative to the cerebello-cerebral system, which is relevant for specialized brain functions in an evolutionary context.
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Grants
- RT and KH are supported by the French Agence Nationale de la Recherche, projects NeuroWebLab (ANR-19-DATA-0025) and DMOBE (ANR-21-CE45-0016). KH received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No101033485 (Individual Fellowship). Last, this work was funded in part by Helmholtz Association’s Initiative and Networking Fund under the Helmholtz International Lab grant agreement InterLabs-0015, and the Canada First Research Excellence Fund (CFREF Competition 2, 2015–2016), awarded to the Healthy Brains, Healthy Lives initiative at McGill University, through the Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL), including NM, SBE, and SLV.
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Affiliation(s)
- Neville Magielse
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Roberto Toro
- Institut Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, 25 rue du Dr. Roux, 75724, Paris, France
| | - Vanessa Steigauf
- Department of Biology, Northern Michigan University, 1401 Presque Isle Ave, MI, 49855, Marquette, USA
| | - Mahta Abbaspour
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstraße 56, Haus 1, 10117, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Bonhoefferweg 3, 10117, Berlin, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Katja Heuer
- Institut Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, 25 rue du Dr. Roux, 75724, Paris, France
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany
| | - Sofie L Valk
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
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Heath A, Madore M, Diaz K, McNerney MW. Hindbrain Stimulation Modulates Object Recognition Discrimination Efficiency and Hippocampal Synaptic Connections. Brain Sci 2023; 13:1425. [PMID: 37891795 PMCID: PMC10605381 DOI: 10.3390/brainsci13101425] [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: 07/28/2023] [Revised: 10/02/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
(1) Background: The cerebellum is well known to have functionalities beyond the control of motor function. However, brain stimulation studies have not explored the potential of this region to impact downstream processes which are imperative to multiple neurological conditions. Our study aimed to look at preliminary evidence that hindbrain-targeted repetitive transcranial magnetic stimulation (rTMS) in mice could alter motor, cognitive and anxiety measures; (2) Methods: Male B6129SF2/J mice (n = 16) were given rTMS (n = 9) over lambda at 10 Hz for 10 min or Sham (n = 7) for 14 consecutive days. Mice then underwent a battery of behavioral measures. (3) Results: In the object recognition test, only rTMS-treated mice distinguished between the novel object at 5 min, whereas those that received Sham treatment continued to improve discrimination from 5 to 10 min. Additionally, over the 10 min test phase, rTMS-stimulated mice explored the objects less than the Sham mice. This was accompanied by increased colocalization of presynaptic and postsynaptic markers in the hippocampus in the rTMS mice (4) Conclusions: Hindbrain rTMS stimulation elicits improved processing speed in the object recognition test via structural plasticity mechanisms in the hippocampus and could provide additional ways of targeting these important substructures of the brain.
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Affiliation(s)
- Alesha Heath
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Veterans Affairs, Sierra-Pacific Mental Illness Research Educational and Clinical Center, Palo Alto, CA 94304, USA
| | - Michelle Madore
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Veterans Affairs, Sierra-Pacific Mental Illness Research Educational and Clinical Center, Palo Alto, CA 94304, USA
| | - Karina Diaz
- Department of Pharmacology and Physiology, Graduate School of Arts and Sciences, Georgetown University, District of Columbia, Washington, DC 20057, USA
| | - M. Windy McNerney
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Veterans Affairs, Sierra-Pacific Mental Illness Research Educational and Clinical Center, Palo Alto, CA 94304, USA
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8
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Zhou L, Xie Y, Wang R, Fan Y, Wu Y. Dynamic segregation and integration of brain functional networks associated with emotional arousal. iScience 2023; 26:106609. [PMID: 37250309 PMCID: PMC10214403 DOI: 10.1016/j.isci.2023.106609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/12/2023] [Accepted: 03/31/2023] [Indexed: 05/31/2023] Open
Abstract
The organization of brain functional networks dynamically changes with emotional stimuli, but its relationship to emotional behaviors is still unclear. In the DEAP dataset, we used the nested-spectral partition approach to identify the hierarchical segregation and integration of functional networks and investigated the dynamic transitions between connectivity states under different arousal conditions. The frontal and right posterior parietal regions were dominant for network integration whereas the bilateral temporal, left posterior parietal, and occipital regions were responsible for segregation and functional flexibility. High emotional arousal behavior was associated with stronger network integration and more stable state transitions. Crucially, the connectivity states of frontal, central, and right parietal regions were closely related to arousal ratings in individuals. Besides, we predicted the individual emotional performance based on functional connectivity activities. Our results demonstrate that brain connectivity states are closely associated with emotional behaviors and could be reliable and robust indicators for emotional arousal.
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Affiliation(s)
- Lv Zhou
- School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an 710049, China
- National Demonstration Center for Experimental Mechanics Education, Xi’an Jiaotong University, Xi’an 710049, China
| | - Yong Xie
- School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an 710049, China
| | - Rong Wang
- School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- College of Science, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Yongchen Fan
- School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an 710049, China
| | - Ying Wu
- School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an 710049, China
- National Demonstration Center for Experimental Mechanics Education, Xi’an Jiaotong University, Xi’an 710049, China
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9
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Welsh JP, Munson J, St John T, Meehan CN, Tran Abraham E, Reitz FB, Begay KK, Dager SR, Estes AM. Relationship of Impairments in Associative Learning With Intellectual Disability and Cerebellar Hypoplasia in Autistic Children. Neurology 2023; 100:e639-e650. [PMID: 36443015 PMCID: PMC9946191 DOI: 10.1212/wnl.0000000000201496] [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: 03/09/2021] [Accepted: 09/15/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The severity of autism spectrum disorder (ASD) varies widely and is associated with intellectual disability (ID) and brain dysmorphology. We tested the hypothesis that the heterogeneity of ASD can be accounted for, in part, by altered associative learning measured by eye-blink conditioning (EBC) paradigms, used to test for forebrain and cerebellar dysfunction across the full range of ASD severity and intellectual ability. METHODS Children in this cohort study were diagnosed with ASD or typical development (TD); most children were recruited from a 10-year longitudinal study. Outcome measures were the percentage and timing of conditioned eye-blink responses (CRs) acquired to a tone, recorded photometrically and related to measures of ASD severity, IQ, and age 2 brain morphometry by MRI. A sequence of trace and delay EBC was used. Analysis of variance, t test, and logistic regression (LR) were used. RESULTS Sixty-two children were studied at school age. Nine children with ASD with ID since age 2 (ASD + ID; IQ = 49 ± 6; 11.9 ± 0.2 years old [±SD]) learned more slowly than 30 children with TD (IQ = 120 ± 16; 10.5 ± 1.5 years old [±SD]) during trace EBC and showed atypically early-onset CRs (1.4 SD pre-TD) related to hypoplasia of the cerebellum at age 2 but not of the amygdala, hippocampus, or cerebral cortex. Conversely, 16 children with ASD with robust intellectual development since age 2 (IQ = 100 ± 3; 12.0 ± 0.4 years old [±SD]) learned typically but showed early-onset CRs only during long-delay EBC (0.8 SD pre-TD) unrelated to hypoplasia of any measured brain area. Using 16 EBC measures, binary LR classified ASD and TD with 80% accuracy (95% CI = 72-88%), 81% sensitivity (95% CI = 69-92%), and 79% specificity (95% CI = 68-91%); multinomial LR more accurately classified children based on ID (94% accuracy, 95% CI = 89-100%) than ASD severity (85% accuracy, 95% CI = 77-93%). Separate analyses of 39 children with MRI (2.1 ± 0.3 years old [±SD]) indicated that cerebellar hypoplasia did not predict ASD + ID over ages 2-4 (Cohen d = 0.3) compared with early-onset CRs during age 11 trace EBC (Cohen d = -1.3). DISCUSSION Trace EBC reveals the relationship between cerebellar hypoplasia and ASD + ID likely by engaging cerebrocerebellar circuits involved in intellectual ability and implicit timing. Follow-up prospective studies using associative learning can determine whether ID can be predicted in children with early ASD diagnoses.
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Affiliation(s)
- John P Welsh
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma.
| | - Jeffrey Munson
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - Tanya St John
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - Christina N Meehan
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - Elise Tran Abraham
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - Frederick B Reitz
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - K Kawena Begay
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - Stephen R Dager
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
| | - Annette M Estes
- From the Departments of Pediatrics (J.P.W.), Psychiatry and Behavioral Sciences (J.M.), Speech and Hearing Sciences (T.S.J., A.M.E.), Radiology (S.R.D.), and Bioengineering (S.R.D.), University of Washington; Center for Integrative Brain Research (J.P.W.), Seattle Children's Research Institute; University of Washington Center on Human Development and Disability (J.P.W., J.M., T.S.J., K.K.B., S.R.D., A.M.E.); University of Washington Autism Center (J.P.W., J.M., T.S.J., C.N.M., E.T.A., F.B.R., K.K.B., S.R.D., A.M.E.); and School of Education (K.K.B.), University of Washington Tacoma
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10
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Zapparrata NM, Brooks PJ, Ober T. Developmental Language Disorder Is Associated With Slower Processing Across Domains: A Meta-Analysis of Time-Based Tasks. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:325-346. [PMID: 36603228 DOI: 10.1044/2022_jslhr-22-00221] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
PURPOSE Individuals with developmental language disorder (DLD) often exhibit slower processing on time-based tasks in comparison with age-matched peers. Processing speed has been linked to various linguistic skills and might serve as a global indicator of individual differences in language abilities. Despite an extensive literature on processing speed in DLD, it remains unclear whether slower processing is domain general or restricted to linguistic and/or auditory tasks. METHOD This meta-analysis used robust variance estimation to compare response/reaction times (RTs) of DLD and age-matched groups (N = 812 DLD, 870 neurotypical; M age [DLD] = 8.9 years, range: 4.3-22.7 years). Moderators included task (simple RT, choice RT, naming, congruent/baseline conditions of interference control tasks), stimulus type (linguistic/nonlinguistic), stimulus modality (auditory/nonauditory), and response modality (verbal/nonverbal). Age and publication year were covariates. RESULTS The overall effect based on 46 studies and 144 estimates indicated longer mean RTs in DLD groups (g = .47, p < .001, 95% CI [.38, .55]). Moderator analyses indicated larger effects when tasks required verbal as opposed to nonverbal responses. No other moderators approached significance. All subgroup analyses were significant, indicating longer mean RTs in DLD groups across tasks, stimulus types, stimulus modalities, and response modalities. CONCLUSIONS Individuals with DLD exhibit longer RTs across verbal and nonverbal tasks, which may contribute to observed difficulties in language, motor skills, and executive functioning. Simple processing speed measures should be included in screening for language delays but may not be suitable for differential diagnosis, given that slower processing may occur across multiple disorders. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.21809355.
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Affiliation(s)
| | - Patricia J Brooks
- Program in Educational Psychology, CUNY Graduate Center, New York, NY
- Department of Psychology, College of Staten Island, NY
| | - Teresa Ober
- Department of Psychology, University of Notre Dame, IN
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11
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Wong CHY, Liu J, Tao J, Chen LD, Yuan HL, Wong MNK, Xu YW, Lee TMC, Chan CCH. Causal influences of salience/cerebellar networks on dorsal attention network subserved age-related cognitive slowing. GeroScience 2022; 45:889-899. [PMID: 36401740 PMCID: PMC9886783 DOI: 10.1007/s11357-022-00686-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/31/2022] [Indexed: 11/21/2022] Open
Abstract
Age-related cognitive slowing is a prominent precursor of cognitive decline. Functional neuroimaging studies found that cognitive processing speed is associated with activation and coupling among frontal, parietal and cerebellar brain networks. However, how the reciprocal influences of inter- and intra-network coupling mediate age-related decline in processing speed remains insufficiently studied. This study examined how inter- and intra-brain network influences mediate age-related slowing. We were interested in the fronto-insular salience network (SN), frontoparietal dorsal attention network (DAN), cerebellar network (CN) and default mode network (DMN). Reaction time (RT) and functional MRI data from 84 participants (aged 18-75) were collected while they were performing the Arrow Task in visual or audial forms. At the subject level, effective connectivities (ECs) were estimated with regression dynamic causal modelling. At the group level, structural equation models (SEMs) were used to model latent speed based on age and the EC mediators. Age was associated with decreased speed and increased inter-network effective connectivity. The CN exerting influence on the DAN (CN → DAN EC) mediated, while the SN → DAN EC suppressed age-related slowing. The DMN and intra-network ECs did not seem to play significant roles in slowing due to ageing. Inter-network connectivity from the CN and SN to the DAN contributes to age-related slowing. The seemingly antagonizing influences of the CN and SN indicate that increased task-related automaticity and decreased effortful control on top-down attention would promote greater speed in older individuals.
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Affiliation(s)
- Clive H. Y. Wong
- grid.419993.f0000 0004 1799 6254Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong China ,grid.194645.b0000000121742757State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam Hong Kong, China ,grid.194645.b0000000121742757Laboratory of Neuropsychology and Human Neuroscience, Department of Psychology, The University of Hong Kong, Pokfulam Hong Kong, China
| | - Jiao Liu
- grid.411504.50000 0004 1790 1622National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian China ,grid.411504.50000 0004 1790 1622Traditional Chinese Medicine Rehabilitation Research Center of State Administration of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China
| | - Jing Tao
- grid.411504.50000 0004 1790 1622National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,grid.411504.50000 0004 1790 1622College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, Fujian China
| | - Li-dian Chen
- grid.411504.50000 0004 1790 1622National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,grid.411504.50000 0004 1790 1622College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian China ,Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, Fujian China
| | - Huan-ling Yuan
- grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom Hong Kong, China
| | - Mabel N. K. Wong
- grid.419993.f0000 0004 1799 6254Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong China ,grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom Hong Kong, China
| | - Yan-wen Xu
- grid.263761.70000 0001 0198 0694Department of Rehabilitation Medicine, Affiliated Hospital of Soochow University, Wuxi, Jiangsu, China
| | - Tatia M. C. Lee
- grid.194645.b0000000121742757State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam Hong Kong, China ,grid.194645.b0000000121742757Laboratory of Neuropsychology and Human Neuroscience, Department of Psychology, The University of Hong Kong, Pokfulam Hong Kong, China
| | - Chetwyn C. H. Chan
- grid.419993.f0000 0004 1799 6254Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong China
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12
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Hebert JR, Filley CM. Multisensory integration and white matter pathology: Contributions to cognitive dysfunction. Front Neurol 2022; 13:1051538. [PMID: 36408503 PMCID: PMC9668060 DOI: 10.3389/fneur.2022.1051538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/18/2022] [Indexed: 11/23/2022] Open
Abstract
The ability to simultaneously process and integrate multiple sensory stimuli is paramount to effective daily function and essential for normal cognition. Multisensory management depends critically on the interplay between bottom-up and top-down processing of sensory information, with white matter (WM) tracts acting as the conduit between cortical and subcortical gray matter (GM) regions. White matter tracts and GM structures operate in concert to manage both multisensory signals and cognition. Altered sensory processing leads to difficulties in reweighting and modulating multisensory input during various routine environmental challenges, and thus contributes to cognitive dysfunction. To examine the specific role of WM in altered sensory processing and cognitive dysfunction, this review focuses on two neurologic disorders with diffuse WM pathology, multiple sclerosis and mild traumatic brain injury, in which persistently altered sensory processing and cognitive impairment are common. In these disorders, cognitive dysfunction in association with altered sensory processing may develop initially from slowed signaling in WM tracts and, in some cases, GM pathology secondary to WM disruption, but also because of interference with cognitive function by the added burden of managing concurrent multimodal primary sensory signals. These insights promise to inform research in the neuroimaging, clinical assessment, and treatment of WM disorders, and the investigation of WM-behavior relationships.
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Affiliation(s)
- Jeffrey R. Hebert
- Physical Performance Laboratory, Marcus Institute for Brain Health, University of Colorado School of Medicine, Aurora, CO, United States,*Correspondence: Jeffrey R. Hebert
| | - Christopher M. Filley
- Behavorial Neurology Section, Department of Neurology and Psychiatry, Marcus Institute for Brain Health, University of Colorado School of Medicine, Aurora, CO, United States
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13
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Marinoni M, Giordani E, Mosconi C, Rosolen V, Concina F, Fiori F, Carletti C, Knowles A, Pani P, Bin M, Ronfani L, Ferraroni M, Barbone F, Parpinel M, Edefonti V. Are Dietary Patterns Related to Cognitive Performance in 7-Year-Old Children? Evidence from a Birth Cohort in Friuli Venezia Giulia, Italy. Nutrients 2022; 14:nu14194168. [PMID: 36235820 PMCID: PMC9571625 DOI: 10.3390/nu14194168] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 09/30/2022] [Accepted: 10/04/2022] [Indexed: 11/07/2022] Open
Abstract
Research from different sources supports a link between nutrition and neurodevelopment, but evidence is still sparse regarding the relationship between a posteriori dietary patterns (DPs) and cognitive performance in school-aged children. Within the Northern Adriatic Cohort II, Friuli Venezia Giulia, Italy, 379 7-year-old children were cross-sectionally evaluated. Dietary patterns were identified through a principal component factor analysis based on 37 nutrients from children’s 3-day dietary records. The Wechsler Intelligence Scale of Children (WISC-IV) test provided measures of cognitive performance, including the full-scale intelligence quotient (FSIQ) and single index scores. Each DP was related to FSIQ or single index scores through multiple robust linear regression models. We identified five DPs named “Dairy Products”, “Plant-based Foods”, “Fats”, “Meat and Potatoes”, and “Seafood” (63% of variance explained). After adjustment, no significant relationship was observed with the FSIQ score; positive associations were found between the “Seafood” DP and Verbal Comprehension Index or Perceptual Reasoning Index. The “Meat and Potatoes” and “Dairy Products” DPs were inversely associated with the Verbal Comprehension Index and Processing Speed Index scores, respectively. In the absence of a relation with the overall FSIQ score, single DPs might influence specific cognitive functions, including verbal and reasoning abilities, as targeted by single indexes, in the expected direction.
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Affiliation(s)
- Michela Marinoni
- Department of Medicine—DAME, University of Udine, Via Colugna 50, 33100 Udine, Italy
- Correspondence: ; Tel.: +39-0432-559601
| | - Elisa Giordani
- Department of Medicine—DAME, University of Udine, Via Colugna 50, 33100 Udine, Italy
| | - Cedric Mosconi
- Branch of Medical Statistics, Biometry, and Epidemiology “G.A. Maccacaro”, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
| | - Valentina Rosolen
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Federica Concina
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Federica Fiori
- Department of Medicine—DAME, University of Udine, Via Colugna 50, 33100 Udine, Italy
| | - Claudia Carletti
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Alessandra Knowles
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Paola Pani
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Maura Bin
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Luca Ronfani
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Via dell’Istria 65/1, 34137 Trieste, Italy
| | - Monica Ferraroni
- Branch of Medical Statistics, Biometry, and Epidemiology “G.A. Maccacaro”, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122 Milan, Italy
| | - Fabio Barbone
- Department of Medicine—DAME, University of Udine, Via Colugna 50, 33100 Udine, Italy
- Institute of Hygiene and Clinical Epidemiology, Azienda Sanitaria Universitaria Friuli Centrale, Via Colugna 50, 33100 Udine, Italy
| | - Maria Parpinel
- Department of Medicine—DAME, University of Udine, Via Colugna 50, 33100 Udine, Italy
| | - Valeria Edefonti
- Branch of Medical Statistics, Biometry, and Epidemiology “G.A. Maccacaro”, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122 Milan, Italy
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14
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Weng X, Liang H, Liu K, Chen J, Fei Q, Liu S, Guo X, Wen L, Wu Y, Nie Z, Jing C. Relationship between urinary dichlorophenols and cognitive function among people over 60 years old from NHANES. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73341-73352. [PMID: 35624369 DOI: 10.1007/s11356-022-20840-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
Studies have shown that exposure to dichlorophenols (DCPs) and their precursors might have potential neurotoxicity, which may be related to low cognitive function, but there are few large-scale, representative population data to explore the association between DCP exposure and cognitive function. We aimed to examine the relationship between urinary DCPs and cognitive function in the US older people. A total of 952 participants ≥ 60 years old from the National Health and Nutrition Examination Survey (NHANES) in two cycles (2011-2014) were enrolled. The Consortium to Establish a Registry for Alzheimer's disease Word Learning subtest (CERAD W-L), the Animal Fluency test (AFT), and the Digit Symbol Substitution test (DSST) were used to assess cognition. Multivariate logistic regression and restricted cubic spline (RCS) were used to evaluate the relationship between DCP exposure and cognitive function. A positive association between 2,5-DCP and the risk of bad performance of DSST was observed (P for trend = 0.024) after adjusting for the covariates. Compared to the lowest quartile, OR of DSST for the highest quartile of 2,5-DCP was 1.72 (95%CI:1.03-2.87, P = 0.039). There were no significant associations between DCPs and the other tests. The RCS plot showed an inverted J-shaped relationship between 2,5-DCP, 2,4-DCP, and the DSST score. The inflection points for the curves were found at 1.531 μg/L and 0.230 μg/L, respectively. On the right side of the inflection points, the DSST score dropped sharply. In subgroup analysis, those under 70 years old, smokers, and alcohol drinkers had a higher risk of bad performance in DSST when exposed to 2,5-DCP. The higher concentration of urinary DCPs is associated with a lower score of DSST in the US older people.
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Affiliation(s)
- Xueqiong Weng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Huanzhu Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Kun Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Jingmin Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Qiaoyuan Fei
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Shan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Xinrong Guo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Lin Wen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Yingying Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Zhiqiang Nie
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China.
- Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, 510632, Guangdong, China.
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15
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Ballard HK, Jackson TB, Hicks TH, Bernard JA. The association of reproductive stage with lobular cerebellar network connectivity across female adulthood. Neurobiol Aging 2022; 117:139-150. [PMID: 35738086 PMCID: PMC10149146 DOI: 10.1016/j.neurobiolaging.2022.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 05/18/2022] [Accepted: 05/30/2022] [Indexed: 01/25/2023]
Abstract
Sex-specific differences in the aging cerebellum may be related to hormone changes with menopause. We evaluated the association between reproductive stage and lobular cerebellar network connectivity using data from the Cambridge Centre for Ageing and Neuroscience repository. We used raw structural and resting state neuroimaging data and information regarding age, sex, and menopause-related variables. Crus I and II and Lobules V and VI were our cerebellar seeds of interest. We characterized reproductive stage using the Stages of Reproductive Aging Workshop criteria. Results show that postmenopausal females have lower cerebello-striatal and cerebello-cortical connectivity, particularly in frontal regions, along with lower connectivity within the cerebellum, compared to reproductive females. Postmenopausal females also exhibit greater connectivity in some brain areas as well. Differences begin to emerge across transitional stages of menopause. Further, results reveal sex-specific differences in connectivity between female reproductive groups and age-matched male control groups. This suggests that menopause may be associated with cerebellar network connectivity in aging females, and sex differences in the aging brain may be related to this biological process.
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Affiliation(s)
- Hannah K Ballard
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, USA.
| | - T Bryan Jackson
- Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA
| | - Tracey H Hicks
- Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA
| | - Jessica A Bernard
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, USA; Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA
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16
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Cognitive decline is associated with frequency-specific resting state functional changes in normal aging. Brain Imaging Behav 2022; 16:2120-2132. [PMID: 35864341 DOI: 10.1007/s11682-022-00682-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/29/2022] [Indexed: 11/02/2022]
Abstract
Resting state low-frequency brain activity may aid in our understanding of the mechanisms of aging-related cognitive decline. Our purpose was to explore the characteristics of the amplitude of low-frequency fluctuations (ALFF) in different frequency bands of fMRI to better understand cognitive aging. Thirty-seven cognitively normal older individuals underwent a battery of neuropsychological tests and MRI scans at baseline and four years later. ALFF from five different frequency bands (typical band, slow-5, slow-4, slow-3, and slow-2) were calculated and analyzed. A two-way ANOVA was used to explore the interaction effects in voxel-wise whole brain ALFF of the time and frequency bands. Paired-sample t-test was used to explore within-group changes over four years. Partial correlation analysis was performed to assess associations between the altered ALFF and cognitive function. Significant interaction effects of time × frequency were distributed over inferior frontal gyrus, superior frontal gyrus, right rolandic operculum, left thalamus, and right putamen. Significant ALFF reductions in all five frequency bands were mainly found in the right hemisphere and the posterior cerebellum; whereas localization of the significantly increased ALFF were mainly found in the cerebellum at typical band, slow-5 and slow-4 bands, and left hemisphere and the cerebellum at slow-3, slow-2 bands. In addition, ALFF changes showed frequency-specific correlations with changes in cognition. These results suggest that changes of local brain activity in cognitively normal aging should be investigated in multiple frequency bands. The association between ALFF changes and cognitive function can potentially aid better understanding of the mechanisms underlying normal cognitive aging.
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Li H, Yuan Q, Luo YJ, Tao W. A new perspective for understanding the contributions of the cerebellum to reading: The cerebro-cerebellar mapping hypothesis. Neuropsychologia 2022; 170:108231. [DOI: 10.1016/j.neuropsychologia.2022.108231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 02/07/2023]
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Kraft JN, Albizu A, O'Shea A, Hausman HK, Evangelista ND, Boutzoukas E, Hardcastle C, Van Etten EJ, Bharadwaj PK, Song H, Smith SG, DeKosky S, Hishaw GA, Wu S, Marsiske M, Cohen R, Alexander GE, Porges E, Woods AJ. Functional Neural Correlates of a Useful Field of View (UFOV)-Based fMRI Task in Older Adults. Cereb Cortex 2021; 32:1993-2012. [PMID: 34541604 PMCID: PMC9070333 DOI: 10.1093/cercor/bhab332] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 11/13/2022] Open
Abstract
Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline. Despite its efficacy, little is known about the neural correlates of this task. Within the current study, 233 healthy older adults completed a UFOV-based task while undergoing functional magnetic resonance imaging (fMRI). During the "stimulus" portion of this task, participants must identify a target in the center of the screen and the location of a target in the periphery, among distractors. During the "probe" portion, participants must decide if the object in the center and the location of the target in the periphery were identical to the "stimulus" screen. Widespread bilateral whole-brain activation was observed when activation patterns of the "probe" contrast were subtracted from the "stimulus" contrast. Conversely, the subtraction of "stimulus" from "probe" was associated with discrete activation patterns consisting of 13 clusters. Additionally, when evaluating the variance associated with task accuracy, specific subregions were identified that may be critical for task performance. Our data elucidate the functional neural correlates of a UFOV-based task, a task used in both cognitive training paradigms and assessment of function.
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Affiliation(s)
- Jessica N Kraft
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Alejandro Albizu
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Andrew O'Shea
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Hanna K Hausman
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Nicole D Evangelista
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Emanuel Boutzoukas
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Cheshire Hardcastle
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Emily J Van Etten
- Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721, USA
| | - Pradyumna K Bharadwaj
- Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721, USA
| | - Hyun Song
- Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721, USA
| | - Samantha G Smith
- Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721, USA
| | - Steven DeKosky
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Neurology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Georg A Hishaw
- Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Consortium, Phoenix, AZ 85014, USA
| | - Samuel Wu
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Michael Marsiske
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Ronald Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Gene E Alexander
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL 32610, USA.,Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Consortium, Phoenix, AZ 85014, USA
| | - Eric Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.,Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL 32610, USA.,Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA
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