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Fehr T, Mehrens S, Haag MC, Amelung A, Gloy K. Changes in Spatiotemporal Dynamics of Default Network Oscillations between 19 and 29 Years of Age. Brain Sci 2024; 14:671. [PMID: 39061412 PMCID: PMC11274777 DOI: 10.3390/brainsci14070671] [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: 04/24/2024] [Revised: 06/15/2024] [Accepted: 06/20/2024] [Indexed: 07/28/2024] Open
Abstract
The exploration of functional resting-state brain developmental parameters and measures can help to improve scientific, psychological, and medical applications. The present work focussed on both traditional approaches, such as topographical power analyses at the signal space level, and advanced approaches, such as the exploration of age-related dynamics of source space data. The results confirmed the expectation that the third life decade would show a kind of stability in oscillatory signal and source-space-related parameters. However, from a source dynamics perspective, different frequency ranges appear to develop quite differently, as reflected in age-related sequential network communication profiles. Among other discoveries, the left anterior cingulate source location could be shown to reduce bi-directional network communication in the lower alpha band, whereas it differentiated its uni- and bidirectional communication dynamics to sub-cortical and posterior brain locations. Higher alpha oscillations enhanced communication dynamics between the thalamus and particularly frontal areas. In conclusion, resting-state data appear to be, at least in part, functionally reorganized in the default mode network, while quantitative measures, such as topographical power and regional source activity, did not correlate with age in the third life decade. In line with other authors, we suggest the further development of a multi-perspective approach in biosignal analyses.
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Affiliation(s)
- Thorsten Fehr
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
- Center for Advanced Imaging, University of Bremen, 28357 Bremen, Germany
| | - Sophia Mehrens
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
| | | | - Anneke Amelung
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
| | - Kilian Gloy
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
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2
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Huang XL, Gao J, Wang YM, Zhu F, Qin J, Yao QN, Zhang XB, Sun HY. Neuropathological characteristics of abnormal white matter functional signaling in adolescents with major depression. World J Psychiatry 2024; 14:276-286. [PMID: 38464765 PMCID: PMC10921285 DOI: 10.5498/wjp.v14.i2.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/13/2023] [Accepted: 01/08/2024] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Major depression disorder (MDD) constitutes a significant mental health concern. Epidemiological surveys indicate that the lifetime prevalence of depression in adolescents is much higher than that in adults, with a corresponding increased risk of suicide. In studying brain dysfunction associated with MDD in adole-scents, research on brain white matter (WM) is sparse. Some researchers even mistakenly regard the signals generated by the WM as noise points. In fact, studies have shown that WM exhibits similar blood oxygen level-dependent signal fluctuations. The alterations in WM signals and their relationship with disease severity in adolescents with MDD remain unclear. AIM To explore potential abnormalities in WM functional signals in adolescents with MDD. METHODS This study involved 48 adolescent patients with MDD and 31 healthy controls (HC). All participants were assessed using the Patient Health Questionnaire-9 Scale and the mini international neuropsychiatric interview (MINI) suicide inventory. In addition, a Siemens Skyra 3.0T magnetic resonance scanner was used to obtain the subjects' image data. The DPABI software was utilized to calculate the WM signal of the fractional amplitude of low frequency fluctuations (fALFF) and regional homogeneity, followed by a two-sample t-test between the MDD and HC groups. Independent component analysis (ICA) was also used to evaluate the WM functional signal. Pearson's correlation was performed to assess the relationship between statistical test results and clinical scales. RESULTS Compared to HC, individuals with MDD demonstrated a decrease in the fALFF of WM in the corpus callosum body, left posterior limb of the internal capsule, right superior corona radiata, and bilateral posterior corona radiata [P < 0.001, family-wise error (FWE) voxel correction]. The regional homogeneity of WM increased in the right posterior limb of internal capsule and left superior corona radiata, and decreased in the left superior longitudinal fasciculus (P < 0.001, FWE voxel correction). The ICA results of WM overlapped with those of regional homo-geneity. The fALFF of WM signal in the left posterior limb of the internal capsule was negatively correlated with the MINI suicide scale (P = 0.026, r = -0.32), and the right posterior corona radiata was also negatively correlated with the MINI suicide scale (P = 0.047, r = -0.288). CONCLUSION Adolescents with MDD involves changes in WM functional signals, and these differences in brain regions may increase the risk of suicide.
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Affiliation(s)
- Xin-Lin Huang
- Imaging and Nuclear Medicine, Jiamusi University, Jiamusi 154000, Heilongjiang Province, China
| | - Ju Gao
- Department of Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Yong-Ming Wang
- School of Biology & Basic Medical Sciences, Medical College of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Feng Zhu
- Department of Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Jing Qin
- Department of Radiology, Shanghai Anting Hospital, Shanghai 20000, China
| | - Qian-Nan Yao
- Imaging and Nuclear Medicine, Jiamusi University, Jiamusi 154000, Heilongjiang Province, China
| | - Xiao-Bin Zhang
- Department of Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Hong-Yan Sun
- Department of Radiology, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
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3
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Gullett JM, DeFelice J, Richards VL, Porges EC, Cohen RA, Govind V, Salan T, Wang Y, Zhou Z, Cook RL. Resting state connectivity in people living with HIV before and after stopping heavy drinking. Front Psychiatry 2023; 14:1102368. [PMID: 37265553 PMCID: PMC10230054 DOI: 10.3389/fpsyt.2023.1102368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/07/2023] [Indexed: 06/03/2023] Open
Abstract
Background Heavy alcohol use in people living with HIV (PLWH) has widespread negative effects on neural functioning. It remains unclear whether experimentally-induced reduction in alcohol use could reverse these effects. We sought to determine the effects of 30-days drinking cessation/reduction on resting state functional connectivity in people with and without HIV. Methods Thirty-five participants (48.6% PLWH) demonstrating heavy alcohol use attempted to stop drinking for 30 days via contingency management (CM). MRI was acquired at baseline and after thirty days, and functional connectivity across five resting-state fMRI (rsfMRI) networks was calculated with the Conn toolbox for Matlab and examined in relation to transdermal alcohol concentration (TAC) recorded by the ankle-worn secure continuous remote alcohol monitor (SCRAM) and self-reported alcohol use (timeline follow-back; TLFB). Associations between alcohol use and reduction, HIV status, functional connectivity, and change in functional connectivity across five major rsfMRI networks were determined relative to the pre- and post-CM timepoints. Results Baseline resting-state functional connectivity was not significantly associated with average TAC-AUC during the pre-CM period, though higher self-reported alcohol use over the preceding 30 days was significantly associated with higher baseline connectivity within the Dorsal Attention Network (DAN; p-FDR < 0.05). Baseline connectivity within the Salience network was significantly negatively related to objective drinking reduction after intervention (DAN; p-FDR < 0.05), whereas baseline connectivity within the Limbic network was positively associated with self-reported drinking reduction (p-FDR < 0.05). Change in between-networks functional connectivity after intervention was significantly positively associated with biosensor-confirmed drinking reduction such that higher reduction was associated with stronger connectivity between the limbic and fronto-parietal control networks (p-FDR < 0.05). PLWH with lower DAN connectivity at baseline demonstrated poorer alcohol reduction than those with higher DAN connectivity at baseline. Discussion Lower resting-state functional connectivity of the Salience network significantly predicted stronger drinking reduction across all participants, suggesting a potential biomarker for reduced susceptibility to the environmental and social cues that often make alcohol use reduction attempts unsuccessful. Increased between-networks connectivity was observed in participants with higher alcohol reduction after CM, suggesting a positive benefit to brain connectivity associated with reduced drinking. PLWH with lower baseline DAN connectivity may not benefit as greatly from CM for alcohol reduction.
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Affiliation(s)
- Joseph M. Gullett
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Jason DeFelice
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Veronica L. Richards
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, United States
| | - Eric C. Porges
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Ronald A. Cohen
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Varan Govind
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Teddy Salan
- University of Miami, Coral Gables, United States
| | - Yan Wang
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
| | - Zhi Zhou
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
| | - Robert L. Cook
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
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Yang X, Zhou X, Xin F, Becker B, Linden D, Hernaus D. Age-dependent changes in the dynamic functional organization of the brain at rest: a cross-cultural replication approach. Cereb Cortex 2023; 33:6394-6406. [PMID: 36642496 PMCID: PMC10183740 DOI: 10.1093/cercor/bhac512] [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: 08/25/2022] [Revised: 12/02/2022] [Accepted: 12/03/2022] [Indexed: 01/17/2023] Open
Abstract
Age-associated changes in brain function play an important role in the development of neurodegenerative diseases. Although previous work has examined age-related changes in static functional connectivity, accumulating evidence suggests that advancing age is especially associated with alterations in the dynamic interactions and transitions between different brain states, which hitherto have received less attention. Conclusions of previous studies in this domain are moreover limited by suboptimal replicability of resting-state functional magnetic resonance imaging (fMRI) and culturally homogenous cohorts. Here, we investigate the robustness of age-associated changes in dynamic functional connectivity (dFC) by capitalizing on the availability of fMRI cohorts from two cultures (Western European and Chinese). In both the LEMON (Western European) and SALD (Chinese) cohorts, we consistently identify two distinct states: a more frequent segregated within-network connectivity state (state I) and a less frequent integrated between-network connectivity state (state II). Moreover, in both these cohorts, older (55-80 years) compared to younger participants (20-35 years) exhibited lower occurrence of and spent less time in state I. Older participants also tended to exhibit more transitions between networks and greater variance in global efficiency. Overall, our cross-cultural replication of age-associated changes in dFC metrics implies that advancing age is robustly associated with a reorganization of dynamic brain activation that favors the use of less functionally specific networks.
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Affiliation(s)
- Xi Yang
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Xinqi Zhou
- Institute of Brain and Psychological Sciences, Sichuan Normal University, 610066 Chengdu, Sichuan, China
| | - Fei Xin
- School of Psychology, Shenzhen University, 518060 Shenzhen, Guangdong, China
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, 611731 Chengdu, Sichuan, China
| | - David Linden
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Dennis Hernaus
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
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5
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Doucet GE, Hamlin N, West A, Kruse JA, Moser DA, Wilson TW. Multivariate patterns of brain-behavior associations across the adult lifespan. Aging (Albany NY) 2022; 14:161-194. [PMID: 35013005 PMCID: PMC8791210 DOI: 10.18632/aging.203815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/20/2021] [Indexed: 11/25/2022]
Abstract
The nature of brain-behavior covariations with increasing age is poorly understood. In the current study, we used a multivariate approach to investigate the covariation between behavioral-health variables and brain features across adulthood. We recruited healthy adults aged 20–73 years-old (29 younger, mean age = 25.6 years; 30 older, mean age = 62.5 years), and collected structural and functional MRI (s/fMRI) during a resting-state and three tasks. From the sMRI, we extracted cortical thickness and subcortical volumes; from the fMRI, we extracted activation peaks and functional network connectivity (FNC) for each task. We conducted canonical correlation analyses between behavioral-health variables and the sMRI, or the fMRI variables, across all participants. We found significant covariations for both types of neuroimaging phenotypes (ps = 0.0004) across all individuals, with cognitive capacity and age being the largest opposite contributors. We further identified different variables contributing to the models across phenotypes and age groups. Particularly, we found behavior was associated with different neuroimaging patterns between the younger and older groups. Higher cognitive capacity was supported by activation and FNC within the executive networks in the younger adults, while it was supported by the visual networks’ FNC in the older adults. This study highlights how the brain-behavior covariations vary across adulthood and provides further support that cognitive performance relies on regional recruitment that differs between older and younger individuals.
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Affiliation(s)
- Gaelle E Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA.,Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE 68178, USA
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Anna West
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Jordanna A Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Dominik A Moser
- Institute of Psychology, University of Bern, Bern, Switzerland.,Child and Adolescent Psychiatry, University Hospital Lausanne, Lausanne, Switzerland
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA.,Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE 68178, USA
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6
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Balazova Z, Marecek R, Novakova L, Nemcova-Elfmarkova N, Kropacova S, Brabenec L, Grmela R, Vaculíková P, Svobodova L, Rektorova I. Dance Intervention Impact on Brain Plasticity: A Randomized 6-Month fMRI Study in Non-expert Older Adults. Front Aging Neurosci 2021; 13:724064. [PMID: 34776925 PMCID: PMC8579817 DOI: 10.3389/fnagi.2021.724064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/28/2021] [Indexed: 12/12/2022] Open
Abstract
Background: Dance is a complex activity combining physical exercise with cognitive, social, and artistic stimulation. Objectives: We aimed to assess the effects of dance intervention (DI) on intra and inter-network resting-state functional connectivity (rs-FC) and its association to cognitive changes in a group of non-demented elderly participants. Methods: Participants were randomly assigned into two groups: DI and life as usual (LAU). Six-month-long DI consisted of supervised 60 min lessons three times per week. Resting-state fMRI data were processed using independent component analysis to evaluate the intra and inter-network connectivity of large-scale brain networks. Interaction between group (DI, LAU) and visit (baseline, follow-up) was assessed using ANOVA, and DI-induced changes in rs-FC were correlated with cognitive outcomes. Results: Data were analyzed in 68 participants (DI; n = 36 and LAU; n = 32). A significant behavioral effect was found in the attention domain, with Z scores increasing in the DI group and decreasing in the LAU group (p = 0.017). The DI as compared to LAU led to a significant rs-FC increase of the default mode network (DMN) and specific inter-network pairings, including insulo-opercular and right frontoparietal/frontoparietal control networks (p = 0.019 and p = 0.023), visual and language/DMN networks (p = 0.012 and p = 0.015), and cerebellar and visual/language networks (p = 0.015 and p = 0.003). The crosstalk of the insulo-opercular and right frontoparietal networks were associated with attention/executive domain Z-scores (R = 0.401, p = 0.015, and R = 0.412, p = 0.012). Conclusion: The DI led to intervention-specific complex brain plasticity changes that were of cognitive relevance.
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Affiliation(s)
- Zuzana Balazova
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia.,Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Radek Marecek
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia.,First Department of Neurology, Faculty of Medicine, St. Anne's University Hospital, Masaryk University, Brno, Czechia
| | - L'ubomíra Novakova
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Nela Nemcova-Elfmarkova
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Sylvie Kropacova
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Luboš Brabenec
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Roman Grmela
- Department of Health Promotion, Faculty of Sports Studies, Masaryk University, Brno, Czechia
| | - Pavlína Vaculíková
- Department of Gymnastics and Combatives, Faculty of Sports Studies, Masaryk University, Brno, Czechia
| | - Lenka Svobodova
- Department of Gymnastics and Combatives, Faculty of Sports Studies, Masaryk University, Brno, Czechia
| | - Irena Rektorova
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czechia.,First Department of Neurology, Faculty of Medicine, St. Anne's University Hospital, Masaryk University, Brno, Czechia
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7
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Responses of functional brain networks to bladder control in healthy adults: a study using regional homogeneity combined with independent component analysis methods. Int Urol Nephrol 2021; 53:883-891. [PMID: 33523398 DOI: 10.1007/s11255-020-02742-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 12/02/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE A functional magnetic resonance imaging (fMRI) study was performed during urodynamic examination in healthy adults to determine the responses of functional brain networks to bladder control during urine storage. METHODS The brain imaging was performed in empty and full bladder states during urodynamic examination. First, we used independent component analysis (ICA) to obtain several resting state network masks, then the brain regions with significantly different regional homogeneity (ReHo) values between the two states were determined using a paired t test (p < 0.05; Gaussian random field correction [GRF]: voxel p < 0.01 and cluster p < 0.05) and presented in their corresponding resting state network (RSN) masks. RESULTS Data sets obtained from the remaining 20 subjects were analyzed after motion correction. Nine RSNs were identified by group-ICA, including the salience network (SN), default mode network (DMN), central executive network (CEN), dorsal attention network (dAN), auditory network (AN), sensorimotor network (SMN), language network (LN), visual network (VN), and cerebellum network (CN). The ReHo values were significantly increased (p < 0.05, GRF corrected) within the SN, DMN, and CEN in the full bladder state compared with the empty bladder state. CONCLUSION Significant changes within the three functional brain networks were demonstrated when the bladder was full, suggesting that SN provides bladder sensation and DMN may provide self-reference, self-reflection, and decision-making about whether to void after assessment of the external environment, while CEN may provide support related to episodic memory, which provides new insight into the processing of bladder control and could serve as a premise to further explore the pathologic process underlying bladder dysfunction.
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Habich A, Fehér KD, Antonenko D, Boraxbekk CJ, Flöel A, Nissen C, Siebner HR, Thielscher A, Klöppel S. Stimulating aged brains with transcranial direct current stimulation: Opportunities and challenges. Psychiatry Res Neuroimaging 2020; 306:111179. [PMID: 32972813 DOI: 10.1016/j.pscychresns.2020.111179] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 06/30/2020] [Accepted: 09/03/2020] [Indexed: 02/06/2023]
Abstract
Ageing involves significant neurophysiological changes that are both systematic while at the same time exhibiting divergent trajectories across individuals. These changes underlie cognitive impairments in elderly while also affecting the response of aged brains to interventions like transcranial direct current stimulation (tDCS). While the cognitive benefits of tDCS are more variable in elderly, older adults also respond differently to stimulation protocols compared to young adults. The age-related neurophysiological changes influencing the responsiveness to tDCS remain to be addressed in-depth. We review and discuss the premise that, in comparison to the better calibrated brain networks present in young adults, aged systems perform further away from a homoeostatic set-point. We argue that this age-related neurophysiological deviation from the homoeostatic optimum extends the leeway for tDCS to modulate the aged brain. This promotes the potency of immediate tDCS effects to induce directional plastic changes towards the homoeostatic equilibrium despite the impaired plasticity induction in elderly. We also consider how age-related neurophysiological changes pose specific challenges for tDCS that necessitate proper adaptations of stimulation protocols. Appreciating the distinctive properties of aged brains and the accompanying adjustment of stimulation parameters can increase the potency and reliability of tDCS as a treatment avenue in older adults.
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Affiliation(s)
- Annegret Habich
- University Hospital of Old Age Psychiatry and Psychotherpa, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland; Faculty of Biology, University of Freiburg, Schänzlestrasse 1, 79104 Freiburg, Germany.
| | - Kristoffer D Fehér
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland
| | - Daria Antonenko
- Department of Neurology, University of Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Østvej, 2650 Hvidovre, Denmark; Department of Radiation Sciences, Umeå University, 90187 Umeå, Sweden; Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark
| | - Agnes Flöel
- Department of Neurology, University of Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany; German Center for Neurodegenerative Diseases, Ellernholzstraße 1-2, 17489 Greifswald, Germany
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland; Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Freiburg, Hauptstraße 5, 79104 Freiburg, Germany
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Østvej, 2650 Hvidovre, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Nørre Allé 20, 2200 Copenhagen, Denmark
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Østvej, 2650 Hvidovre, Denmark; Department of Electrical Engineering, Technical University of Denmark, Ørsteds Pl. 348, 2800 Kgs. Lyngby, Denmark
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherpa, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland
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Monteiro TS, Zivari Adab H, Chalavi S, Gooijers J, King BBR, Cuypers K, Mantini D, Swinnen SP. Reduced Modulation of Task-Related Connectivity Mediates Age-Related Declines in Bimanual Performance. Cereb Cortex 2020; 30:4346-4360. [PMID: 32133505 DOI: 10.1093/cercor/bhaa021] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Aging is accompanied by marked changes in motor behavior and its neural correlates. At the behavioral level, age-related declines in motor performance manifest, for example, as a reduced capacity to inhibit interference between hands during bimanual movements, particularly when task complexity increases. At the neural level, aging is associated with reduced differentiation between distinct functional systems. Functional connectivity (FC) dedifferentiation is characterized by more homogeneous connectivity patterns across various tasks or task conditions, reflecting a reduced ability of the aging adult to modulate brain activity according to changing task demands. It is currently unknown, however, how whole-brain dedifferentiation interacts with increasing task complexity. In the present study, we investigated age- and task-related FC in a group of 96 human adults across a wide age range (19.9-74.5 years of age) during the performance of a bimanual coordination task of varying complexity. Our findings indicated stronger task complexity-related differentiation between visuomotor- and nonvisuomotor-related networks, though modulation capability decreased with increasing age. Decreased FC modulation mediated larger complexity-related increases in between-hand interference, reflective of worse bimanual coordination. Thus, the ability to maintain high motor performance levels in older adults is related to the capability to properly segregate and modulate functional networks.
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Affiliation(s)
- Thiago Santos Monteiro
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Hamed Zivari Adab
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Sima Chalavi
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Jolien Gooijers
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Brad Bradley Ross King
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Koen Cuypers
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium.,REVAL Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Dante Mantini
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium.,Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Stephan Patrick Swinnen
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, Biomedical Sciences Group, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
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10
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Krieger-Redwood K, Wang HT, Poerio G, Martinon LM, Riby LM, Smallwood J, Jefferies E. Reduced semantic control in older adults is linked to intrinsic DMN connectivity. Neuropsychologia 2019; 132:107133. [PMID: 31278908 DOI: 10.1016/j.neuropsychologia.2019.107133] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/27/2019] [Accepted: 07/01/2019] [Indexed: 01/27/2023]
Abstract
Ageing provides an interesting window into semantic cognition: while younger adults generally outperform older adults on many cognitive tasks, knowledge continues to accumulate over the lifespan and consequently, the semantic store (i.e., vocabulary size) remains stable (or even improves) during healthy ageing. Semantic cognition involves the interaction of at least two components - a semantic store and control processes that interact to ensure efficient and context-relevant use of representations. Given older adults perform less well on tasks measuring executive control, their ability to access the semantic store in a goal driven manner may be compromised. Older adults also consistently show reductions in intrinsic brain connectivity, and we examined how these brain changes relate to age-related changes in semantic performance. We found that while older participants outperformed their younger counterparts on tests of vocabulary size (i.e., NART), younger participants were faster and more accurate in tasks requiring semantic control, and these age differences correlated with measures of intrinsic connectivity between the anterior temporal lobe (ATL) and medial prefrontal cortex (mPFC), within the default mode network. Higher intrinsic connectivity from right ATL to mPFC at rest related to better performance on verbal (but not picture) semantic tasks, and older adults showed an exaggerated version of this pattern, suggesting that this within-DMN connectivity may become more important for conceptual access from words as we age. However, this appeared to be at the expense of control over semantic retrieval - there was little relationship between connectivity and performance for strong associations in either group, but older adults with stronger connectivity showed particularly inefficient retrieval of weak associations. Older adults may struggle to harness the default mode network to support demanding patterns of semantic retrieval, resulting in a performance cost.
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Affiliation(s)
| | - Hao-Ting Wang
- Department of Psychology, University of York, York, UK
| | - Giulia Poerio
- Department of Psychology, University of York, York, UK; Department of Psychology, University of Sheffield, Sheffield, UK
| | - Léa M Martinon
- Department of Psychology, Northumbria University, Newcastle-upon-Tyne, UK
| | - Leigh M Riby
- Department of Psychology, Northumbria University, Newcastle-upon-Tyne, UK
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11
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Hu Y, Du W, Zhang Y, Li N, Han Y, Yang Z. Loss of Parietal Memory Network Integrity in Alzheimer's Disease. Front Aging Neurosci 2019; 11:67. [PMID: 30971912 PMCID: PMC6446948 DOI: 10.3389/fnagi.2019.00067] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 03/08/2019] [Indexed: 01/05/2023] Open
Abstract
A functional brain network, termed the parietal memory network (PMN), has been shown to reflect the familiarity of stimuli in both memory encoding and retrieval. The function of this network has been separated from the commonly investigated default mode network (DMN) in both resting-state fMRI and task-activations. This study examined the deficit of the PMN in Alzheimer's disease (AD) patients using resting-state fMRI and independent component analysis (ICA) and investigated its diagnostic value in identifying AD patients. The DMN was also examined as a reference network. In addition, the robustness of the findings was examined using different types of analysis methods and parameters. Our results showed that the integrity as an intrinsic connectivity network for the PMN was significantly decreased in AD and this feature showed at least equivalent predictive ability to that for the DMN. These findings were robust to varied methods and parameters. Our findings suggest that the intrinsic connectivity of the PMN is disrupted in AD and further call for considering the PMN and the DMN separately in clinical neuroimaging studies.
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Affiliation(s)
- Yang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Wenying Du
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yiwen Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ningning Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Han
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Institute of Geriatrics, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Zhi Yang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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12
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Aboud KS, Huo Y, Kang H, Ealey A, Resnick SM, Landman BA, Cutting LE. Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships. Hum Brain Mapp 2018; 40:125-136. [PMID: 30368995 DOI: 10.1002/hbm.24359] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 08/03/2018] [Accepted: 08/08/2018] [Indexed: 12/12/2022] Open
Abstract
Recent studies have revealed that brain development is marked by morphological synchronization across brain regions. Regions with shared growth trajectories form structural covariance networks (SCNs) that not only map onto functionally identified cognitive systems, but also correlate with a range of cognitive abilities across the lifespan. Despite advances in within-network covariance examinations, few studies have examined lifetime patterns of structural relationships across known SCNs. In the current study, we used a big-data framework and a novel application of covariate-adjusted restricted cubic spline regression to identify volumetric network trajectories and covariance patterns across 13 networks (n = 5,019, ages = 7-90). Our findings revealed that typical development and aging are marked by significant shifts in the degree that networks preferentially coordinate with one another (i.e., modularity). Specifically, childhood showed higher modularity of networks compared to adolescence, reflecting a shift over development from segregation to desegregation of inter-network relationships. The shift from young to middle adulthood was marked by a significant decrease in inter-network modularity and organization, which continued into older adulthood, potentially reflecting changes in brain organizational efficiency with age. This study is the first to characterize brain development and aging in terms of inter-network structural covariance across the lifespan.
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Affiliation(s)
- Katherine S Aboud
- Department of Special Education, Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee
| | - Yuankai Huo
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee
| | - Ashley Ealey
- Department of Neuroscience, Agnes Scott College, Decatur, Georgia
| | | | - Bennett A Landman
- Departments of Electrical Engineering and Computer Science, Biomedical Engineering, Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee
| | - Laurie E Cutting
- Departments of Special Education, Psychology, Radiology, Pediatrics, Institute of Imaging Sciences, Vanderbilt University, Nashville, Tennessee
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13
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Kumar M, Modi S, Rana P, Kumar P, Kanwar R, Sekhri T, D'souza M, Khushu S. Alteration in intrinsic and extrinsic functional connectivity of resting state networks associated with subclinical hypothyroid. J Neuroendocrinol 2018; 30. [PMID: 29504670 DOI: 10.1111/jne.12587] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 02/27/2018] [Indexed: 11/28/2022]
Abstract
Subclinical hypothyroidism (SCH) is characterized by mild elevation of thyroid stimulating hormone (TSH) (range 5-10 μIU/ml) and normal free triiodothyronine (FT3) and free thyroxine (FT4). The cognitive function impairment is well known in thyroid disorders such as hypothyroidism and hyperthyroidism, but little is known about deficits in brain functions in SCH subjects. Also, whether hormone-replacement treatment is necessary or not in SCH subjects is still debatable. In order to have an insight into the cognition of SCH subjects, intrinsic and extrinsic functional connectivity (FC) of the resting state networks (RSNs) was studied. For resting state data analysis we used an unbiased, data-driven approach based on Independent Component Analysis (ICA) and dual-regression that can emphasize widespread changes in FC without restricting to a set of predefined seeds. 28 SCH subjects and 28 matched healthy controls (HC) participated in the study. RSN analysis showed significantly decreased intrinsic FC in somato-motor network (SMN) and right fronto-parietal attention network (RAN) and increased intrinsic FC in default mode network (DMN) in SCH subjects as compared to control subjects. The reduced intrinsic FC in the SMN and RAN suggests neuro-cognitive alterations in SCH subjects in the corresponding functions which were also evident from the deficit in the neuropsychological performance of the SCH subjects on behavioural tests such as digit span, delayed recall, visual retention, recognition, Bender Gestalt and Mini-Mental State Examination (MMSE). We also found a significant reduction in extrinsic network FC between DMN and RAN; SMN and posterior default mode network (PDMN); and increased extrinsic FC between SMN and anterior default mode network (ADMN) in SCH subjects as compared to controls. An altered extrinsic FC in SCH suggests functional reorganization in response to neurological disruption. The partial correlation analysis between intrinsic and extrinsic RSNs FC and neuropsychological performances as well as clinical indices give interesting insights into brain-behavior relationship in SCH subjects. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Mukesh Kumar
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS)
| | - Shilpi Modi
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS)
| | - Poonam Rana
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS)
| | - Pawan Kumar
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS)
| | - Ratnesh Kanwar
- Thyroid Research Centre, (INMAS), Brig. SK Mazumdar Marg, Timarpur, Delhi, India, 110054
| | - Tarun Sekhri
- Thyroid Research Centre, (INMAS), Brig. SK Mazumdar Marg, Timarpur, Delhi, India, 110054
| | - Maria D'souza
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS)
| | - Subash Khushu
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS)
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14
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Pinto JM, Wroblewski KE, Huisingh-Scheetz M, Correia C, Lopez KJ, Chen RC, Kern DW, Schumm PL, Dale W, McClintock MK. Global Sensory Impairment Predicts Morbidity and Mortality in Older U.S. Adults. J Am Geriatr Soc 2017; 65:2587-2595. [PMID: 28942611 DOI: 10.1111/jgs.15031] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To evaluate global sensory impairment (GSI, an integrated measure of sensory dysfunction) as a predictor of physical function, cognition, overall health, and mortality. DESIGN Prospective study. SETTING The National Social Life, Health, and Aging Project. PARTICIPANTS A national probability sample of 3,005 home-dwelling older U.S. adults assessed at baseline (2005-06) and 5-year follow-up (2010-11). MEASUREMENTS Gait speed, activity, disability, cognition, overall health, 5-year mortality. RESULTS At baseline, older adults with worse GSI were slower (Timed Up and Go times: odds ratio (OR) = 1.32, 95% confidence interval (CI) = 1.17-1.50) and had more activity of daily living deficits (≥2: OR = 1.26, 95% CI = 1.10-1.46). Five years later, they were still slower (timed walk: OR = 1.22, 95% CI = 1.05-1.42), had more disabilities (≥2 instrumental activities of daily living; OR = 1.45, 95% CI = 1.23-1.70), were less active (daytime activity according to accelerometry: β = -2.7, 95% CI = -5.2 to -0.2), had worse cognitive function (Montreal Cognitive Assessment; β = -0.64, 95% CI = -0.84 to -0.44), more likely to have poorer overall health (OR = 1.16, 95% CI = 1.03-1.31) and lose weight (>10%: OR = 1.31, 95% CI = 1.04-1.64), and have died (OR = 1.45, 95% CI = 1.19-1.76). All analyses were adjusted for relevant confounders at baseline, including age, sex, race and ethnicity, education, smoking, problem drinking, body mass index, comorbidities, and cognitive function. CONCLUSION GSI predicts impaired physical function, cognitive dysfunction, significant weight loss, and mortality 5 years later in older U.S. adults. Multisensory evaluation may identify vulnerable individuals, offering the opportunity for early intervention to mitigate adverse outcomes.
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Affiliation(s)
- Jayant M Pinto
- Section of Otolaryngology-Head and Neck Surgery, University of Chicago, Chicago, Illinois.,Center on Demography and Economics of Aging, University of Chicago, Chicago, Illinois
| | | | - Megan Huisingh-Scheetz
- Center on Demography and Economics of Aging, University of Chicago, Chicago, Illinois.,Section of Geriatrics and Palliative Medicine, University of Chicago, Chicago, Illinois
| | - Camil Correia
- Center on Demography and Economics of Aging, University of Chicago, Chicago, Illinois
| | - Kevin J Lopez
- Center on Demography and Economics of Aging, University of Chicago, Chicago, Illinois
| | - Rachel C Chen
- Pritzker School of Medicine, University of Chicago, Chicago, Illinois
| | - David W Kern
- Department of Psychology, Northeastern Illinois University, Chicago, Illinois
| | - Philip L Schumm
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - William Dale
- Center on Demography and Economics of Aging, University of Chicago, Chicago, Illinois.,Section of Geriatrics and Palliative Medicine, University of Chicago, Chicago, Illinois
| | - Martha K McClintock
- Center on Demography and Economics of Aging, University of Chicago, Chicago, Illinois.,Department of Comparative Human Development, University of Chicago, Chicago, Illinois.,Institute for Mind and Biology, University of Chicago, Chicago, Illinois
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15
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Yang H, Wang C, Zhang Y, Xia L, Feng Z, Li D, Xu S, Xie H, Chen F, Shi Y, Wang J. Disrupted Causal Connectivity Anchored in the Posterior Cingulate Cortex in Amnestic Mild Cognitive Impairment. Front Neurol 2017; 8:10. [PMID: 28167926 PMCID: PMC5256067 DOI: 10.3389/fneur.2017.00010] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Accepted: 01/09/2017] [Indexed: 12/13/2022] Open
Abstract
Amnestic mild cognitive impairment (aMCI) is a transitional stage between normal cognitive aging and Alzheimer’s disease. Previous studies have found that neuronal activity and functional connectivity impaired in many functional networks, especially in the default mode network (DMN), which is related to significantly impaired cognitive and memory functions in aMCI patients. However, few studies have focused on the effective connectivity of the DMN and its subsystems in aMCI patients. The posterior cingulate cortex (PCC) is considered a crucial region in connectivity of the DMN and its key subsystem. In this study, using the coefficient Granger causality analysis approach and using the PCC as the region of interest, we explored changes in the DMN and its subsystems in effective connectivity with other brain regions as well as in correlations among them in 16 aMCI patients and 15 age-matched cognitively normal elderly. Results showed decreased effective connectivity from PCC to whole brain in the left prefrontal cortex, the left medial temporal lobe (MTL), the left fusiform gyrus (FG), and the left cerebellar hemisphere, meanwhile, right temporal lobe showed increased effective connectivity from PCC to the whole brain in aMCI patients compared with normal control. In addition, compared with the normal controls, increased effective connectivity of the whole brain to the PCC in aMCI patients was found in the right thalamus, left medial temporal lobe, left FG, and left cerebellar hemisphere. Compared with the normal controls, no reduced effective connectivity was found in any brain regions from the whole brain to the PCC in aMCI patients. The reduced effective connectivity of the PCC to left MTL showed negative correlation trend with neuropsychological tests (Auditory Verbal Learning Test-immediate recall and clock drawing test) in aMCI patients. Our study shows that aMCI patients have abnormalities in effective connectivity within the PCC-centered DMN network and its posterior subsystems as well as in the cerebellar hemisphere and thalamus. Abnormal integration of networks may be related to cognitive and memory impairment and compensation mechanisms in aMCI patients.
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Affiliation(s)
- Hong Yang
- Department of Radiology, The First Affiliated Hospital of College of Medicine, Zhejiang University , Hangzhou , China
| | - Chengwei Wang
- Department of CT/MRI, The First Affiliated Hospital of the Medical College, Shihezi University, Shihezi, China; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yumei Zhang
- Department of Radiology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China; Department of CT/MRI, The First Affiliated Hospital of the Medical College, Shihezi University, Shihezi, China
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, Hubei , China
| | - Zhan Feng
- Department of Radiology, The First Affiliated Hospital of College of Medicine, Zhejiang University , Hangzhou , China
| | - Deqiang Li
- Department of Neurology, The First Affiliated Hospital of College of Medicine, Zhejiang University , Hangzhou , China
| | - Shunliang Xu
- Department of Radiology, The First Affiliated Hospital of College of Medicine, Zhejiang University , Hangzhou , China
| | - Haiyan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital Zhejiang University School of Medicine , Yiwu , China
| | - Feng Chen
- Department of Radiology, The First Affiliated Hospital of College of Medicine, Zhejiang University , Hangzhou , China
| | - Yushu Shi
- Department of Radiology, The First Affiliated Hospital of College of Medicine, Zhejiang University , Hangzhou , China
| | - Jue Wang
- Center for Cognition and Brain Disorders, Affiliated Hospital, Hangzhou Normal University , Hangzhou , China
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16
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Radman N, Mouthon M, Di Pietro M, Gaytanidis C, Leemann B, Abutalebi J, Annoni JM. The Role of the Cognitive Control System in Recovery from Bilingual Aphasia: A Multiple Single-Case fMRI Study. Neural Plast 2016; 2016:8797086. [PMID: 27965899 PMCID: PMC5124691 DOI: 10.1155/2016/8797086] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 09/15/2016] [Accepted: 10/12/2016] [Indexed: 11/26/2022] Open
Abstract
Aphasia in bilingual patients is a therapeutic challenge since both languages can be impacted by the same lesion. Language control has been suggested to play an important role in the recovery of first (L1) and second (L2) language in bilingual aphasia following stroke. To test this hypothesis, we collected behavioral measures of language production (general aphasia evaluation and picture naming) in each language and language control (linguistic and nonlinguistic switching tasks), as well as fMRI during a naming task at one and four months following stroke in five bilingual patients suffering from poststroke aphasia. We further applied dynamic causal modelling (DCM) analyses to the connections between language and control brain areas. Three patients showed parallel recovery in language production, one patient improved in L1, and one improved in L2 only. Language-control functions improved in two patients. Consistent with the dynamic view of language recovery, DCM analyses showed a higher connectedness between language and control areas in the language with the better recovery. Moreover, similar degrees of connectedness between language and control areas were found in the patients who recovered in both languages. Our data suggest that engagement of the interconnected language-control network is crucial in the recovery of languages.
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Affiliation(s)
- Narges Radman
- Neurology Unit, Department of Medicine, Faculty of Sciences, University of Fribourg, Fribourg, Switzerland
| | - Michael Mouthon
- Neurology Unit, Department of Medicine, Faculty of Sciences, University of Fribourg, Fribourg, Switzerland
| | - Marie Di Pietro
- Neurorehabilitation Department, University Hospital, University of Geneva, Geneva, Switzerland
| | - Chrisovalandou Gaytanidis
- Neurorehabilitation Department, University Hospital, University of Geneva, Geneva, Switzerland
- Neuropsychology Unit, Fribourg Cantonal Hospital, Fribourg, Switzerland
| | - Beatrice Leemann
- Neurorehabilitation Department, University Hospital, University of Geneva, Geneva, Switzerland
| | - Jubin Abutalebi
- Center for Neurolinguistics and Psycholinguistics, San Raffaele University and Scientific Institute San Raffaele, Milan, Italy
| | - Jean-Marie Annoni
- Neurology Unit, Department of Medicine, Faculty of Sciences, University of Fribourg, Fribourg, Switzerland
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17
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Balaev V, Petrushevsky A, Martynova O. Changes in Functional Connectivity of Default Mode Network with Auditory and Right Frontoparietal Networks in Poststroke Aphasia. Brain Connect 2016; 6:714-723. [DOI: 10.1089/brain.2016.0419] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Affiliation(s)
- Vladislav Balaev
- Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences, Moscow, Russian Federation
| | - Alexey Petrushevsky
- Center for Speech Pathology and Neurorehabilitation, Moscow, Russian Federation
| | - Olga Martynova
- Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences, Moscow, Russian Federation
- Centre for Cognition and Decision Making, National Research University Higher School of Economics, Moscow, Russian Federation
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