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Bukkieva T, Pospelova M, Efimtsev A, Fionik O, Alekseeva T, Samochernych K, Gorbunova E, Krasnikova V, Makhanova A, Levchuk A, Trufanov G, Combs S, Shevtsov M. Functional Network Connectivity Reveals the Brain Functional Alterations in Breast Cancer Survivors. J Clin Med 2022; 11:jcm11030617. [PMID: 35160070 PMCID: PMC8837129 DOI: 10.3390/jcm11030617] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/29/2021] [Accepted: 01/10/2022] [Indexed: 02/04/2023] Open
Abstract
Different neurological and psychiatric disorders such as vertebrobasilar insufficiency, chronic pain syndrome, anxiety, and depression are observed in more than 90% of patients after treatment for breast cancer and may cause alterations in the functional connectivity of the default mode network. The purpose of the present study is to assess changes in the functional connectivity of the default mode network in patients after breast cancer treatment using resting state functional magnetic resonance imaging (rs-fMRI). Rs-fMRI was performed using a 3.0T MR-scanner on patients (N = 46, women) with neurological disorders (chronic pain, dizziness, headaches, and/or tinnitus) in the late postoperative period (>12 months) after Patey radical mastectomy for breast cancer. According to the intergroup statistical analysis, there were differences in the functional connectivity of the default mode network in all 46 patients after breast cancer treatment compared to the control group (p < 0.01). The use of rs-fMRI in in breast cancer survivors allowed us to identify changes in the functional connectivity in the brain caused by neurological disorders, which correlated with a decreased quality of life in these patients. The results indicate the necessity to improve treatment and rehabilitation methods in this group of patients.
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Affiliation(s)
- Tatyana Bukkieva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Maria Pospelova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Aleksandr Efimtsev
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Olga Fionik
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Tatyana Alekseeva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Konstantin Samochernych
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Elena Gorbunova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Varvara Krasnikova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Albina Makhanova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Anatoliy Levchuk
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Gennadiy Trufanov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Stephanie Combs
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany;
| | - Maxim Shevtsov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany;
- Laboratory of Biomedical Nanotechnologies, Institute of Cytology of the Russian Academy of Sciences (RAS), Tikhoretsky Ave. 4, 194064 Saint Petersburg, Russia
- Correspondence: ; Tel.: +7-981-829-4848
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52
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Wang Y, Chen X, Liu R, Zhang Z, Zhou J, Feng Y, Jiang C, Zuo XN, Zhou Y, Wang G. Effect of Phase-Encoding Direction on Gender Differences: A Resting-State Functional Magnetic Resonance Imaging Study. Front Neurosci 2022; 15:748080. [PMID: 35145372 PMCID: PMC8824585 DOI: 10.3389/fnins.2021.748080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
AimNeuroimaging studies have highlighted gender differences in brain functions, but conclusions are not well established. Few studies paid attention to the influence of phase-encoding (PE) direction in echo-planar imaging on gender differences, which is a commonly used technique in functional magnetic resonance imaging (fMRI). A disadvantage of echo-planar images is the geometrical distortion and signal loss due to large susceptibility effects along the PE direction. The present research aimed to clarify how PE direction can affect the outcome of a specific research on gender differences.MethodsWe collected resting-state fMRI using anterior to posterior (AP) and posterior to anterior (PA) directions from 113 healthy participants. We calculated several commonly used indices for spontaneous brain activity including amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), degree centrality (DC), and functional connectivity (FC) of posterior cingulate cortex for each session, and performed three group comparisons: (i) AP versus PA; (ii) male versus female; (iii) interaction between gender and PE direction.ResultsThe estimated indices differed substantially between the two PE directions, and the regions that exhibited differences were roughly similar for all the indices. In addition, we found that multiple brain regions showed gender differences in these estimated indices. Further, we observed an interaction effect between gender and PE direction in the bilateral middle frontal gyrus, right precentral gyrus, right postcentral gyrus, right lingual gyrus, and bilateral cerebellum posterior lobe.ConclusionThese apparent findings revealed that PE direction can partially influence gender differences in spontaneous brain activity of resting-state fMRI. Therefore, future studies should document the adopted PE direction and appropriate selection of PE direction will be important in future resting-state fMRI studies.
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Affiliation(s)
- Yun Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
| | - Xiongying Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
| | - Rui Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
| | - Zhifang Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chao Jiang
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
| | - Xi-Nian Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Yuan Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Yuan Zhou,
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- *Correspondence: Gang Wang,
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53
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Chan SY, Nickerson LD, Pathak R, Öngür D, Hall MH. Impact of Substance Use Disorder on Between-Network Brain Connectivity in Early Psychosis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac014. [PMID: 35386953 PMCID: PMC8976260 DOI: 10.1093/schizbullopen/sgac014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The Triple Network Model of psychopathology identifies the salience network (SN), central executive network (CEN), and default mode network (DMN) as key networks underlying the pathophysiology of psychiatric disorders. In particular, abnormal SN-initiated network switching impacts the engagement and disengagement of the CEN and DMN, and is proposed to lead to the generation of psychosis symptoms. Between-network connectivity has been shown to be abnormal in both substance use disorders (SUD) and psychosis. However, none have studied how SUD affects connectivity between sub-networks of the DMN, SN, and CEN in early stage psychosis (ESP) patients. In this study, we collected data from 113 ESP patients and 50 healthy controls to investigate the effect of SUD on between-network connectivity. In addition, we performed sub-group analysis by exploring whether past SUD vs current SUD co-morbidity, or diagnosis (affective vs non-affective psychosis) had a modulatory effect. Connectivity between four network-pairs, consisting of sub-networks of the SN, CEN, and DMN, was significantly different between ESP patients and controls. Two patterns of connectivity were observed when patients were divided into sub-groups with current vs past SUD. In particular, connectivity between right CEN and the cingulo-opercular salience sub-network (rCEN-CON) showed a gradient effect where the severity of abnormalities increased from no history of SUD to past+ to current+. We also observed diagnosis-specific effects, suggesting non-affective psychosis patients were particularly vulnerable to effects of substance use on rCEN-CON connectivity. Our findings reveal insights into how comorbid SUD affects between-network connectivity and symptom severity in ESP.
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Affiliation(s)
- Shi Yu Chan
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Lisa D Nickerson
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Applied Neuroimaging Statistics Laboratory, McLean Hospital, Belmont, MA, USA
| | - Roma Pathak
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Brandeis University, Waltham, MA, USA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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54
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Torske A, Koch K, Eickhoff S, Freiherr J. Localizing the human brain response to olfactory stimulation: A meta-analytic approach. Neurosci Biobehav Rev 2021; 134:104512. [PMID: 34968523 DOI: 10.1016/j.neubiorev.2021.12.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/18/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022]
Abstract
The human sense of smell and the ability to detect and distinguish odors allows for the extraction of valuable information from the environment, thereby driving human behavior. Not only can the sense of smell help to monitor the safety of inhaled air, but it can also help to evaluate the edibility of food. Therefore, in an effort to further our understanding of the human sense of smell, the aim of this meta-analysis was to provide the scientific community with activation probability maps of the functional anatomy of the olfactory system, in addition to separate activation maps for specific odor categories (pleasant, food, and aversive odors). The activation likelihood estimation (ALE) method was utilized to quantify all relevant and available data to perform a formal statistical analysis on the inter-study concordance of various odor categories. A total of 81 studies (108 contrasts, 1053 foci) fulfilled our inclusion criteria. Significant ALE peaks were observed in all odor categories in brain areas typically associated with the functional neuroanatomy of olfaction including the piriform cortex, amygdala, insula, and orbitofrontal cortex, amongst others. Additional contrast analyses indicate clear differences in neural activation patterns between odor categories.
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Affiliation(s)
- A Torske
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Germany; Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig Maximilians Universität München, Martinsried, Germany
| | - K Koch
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Germany; Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig Maximilians Universität München, Martinsried, Germany
| | - S Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - J Freiherr
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Institute for Process Engineering and Packaging IVV, Sensory Analytics and Technologies, Fraunhofer Freising, Germany.
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55
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Vuksanović V, Staff RT, Morson S, Ahearn T, Bracoud L, Murray AD, Bentham P, Kipps CM, Harrington CR, Wischik CM. Degeneration of basal and limbic networks is a core feature of behavioural variant frontotemporal dementia. Brain Commun 2021; 3:fcab241. [PMID: 34939031 PMCID: PMC8688778 DOI: 10.1093/braincomms/fcab241] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 05/13/2021] [Accepted: 05/24/2021] [Indexed: 11/13/2022] Open
Abstract
The behavioural variant of frontotemporal dementia is a clinical syndrome characterized by changes in behaviour, cognition and functional ability. Although atrophy in frontal and temporal regions would appear to be a defining feature, neuroimaging studies have identified volumetric differences distributed across large parts of the cortex, giving rise to a classification into distinct neuroanatomical subtypes. Here, we extended these neuroimaging studies to examine how distributed patterns of cortical atrophy map onto brain network hubs. We used baseline structural magnetic resonance imaging data collected from 213 behavioural variant of frontotemporal dementia patients meeting consensus diagnostic criteria and having definite evidence of frontal and/or temporal lobe atrophy from a global clinical trial conducted in 70 sites in Canada, United States of America, Australia, Asia and Europe. These were compared with data from 244 healthy elderly subjects from a well-characterized cohort study. We have used statistical methods of hierarchical agglomerative clustering of 68 regional cortical and subcortical volumes (34 in each hemisphere) to determine the reproducibility of previously described neuroanatomical subtypes in a global study. We have also attempted to link the structural findings to clinical features defined systematically using well-validated clinical scales (Addenbrooke’s Cognitive Examination Revised, the Mini-Mental Status Examination, the Frontotemporal Dementia Rating Scale and the Functional Assessment Questionnaire) and subscales derived from them. Whilst we can confirm that the subtypes are robust, they have limited value in explaining the clinical heterogeneity of the syndrome. We have found that a common pattern of degeneration affecting a small number of subcortical, limbic and frontal nodes within highly connected networks (most previously identified as rich club members or functional binding nodes) is shared by all the anatomical subtypes. Degeneration in these core regions is correlated with cognitive and functional impairment, but less so with behavioural impairment. These findings suggest that degeneration in highly connected basal, limbic and frontal networks is a core feature of the behavioural variant of frontotemporal dementia phenotype irrespective of neuroanatomical and clinical heterogeneity, and may underly the impairment of integration in cognition, function and behaviour responsible for the loss of insight that characterizes the syndrome.
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Affiliation(s)
- Vesna Vuksanović
- Swansea University Medical School, Health Data Research UK, Swansea University, Swansea SA2 8PP, UK.,School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZD, UK.,TauRx Therapeutics, Aberdeen AB24 5RP, UK
| | - Roger T Staff
- Medical Physics, NHS Grampian, Aberdeen AB25 2ZD, UK
| | - Suzannah Morson
- TauRx Therapeutics, Aberdeen AB24 5RP, UK.,School of Psychology, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Trevor Ahearn
- Medical Physics, NHS Grampian, Aberdeen AB25 2ZD, UK
| | | | - Alison D Murray
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZD, UK
| | | | - Christopher M Kipps
- University Hospital Southampton and University of Southampton, Southampton SO16 6YD, UK
| | - Charles R Harrington
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZD, UK.,TauRx Therapeutics, Aberdeen AB24 5RP, UK
| | - Claude M Wischik
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZD, UK.,TauRx Therapeutics, Aberdeen AB24 5RP, UK
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Chen Y, Cha YH, Gleghorn D, Doudican BC, Shou G, Ding L, Yuan H. Brain network effects by continuous theta burst stimulation in mal de débarquement syndrome: simultaneous EEG and fMRI study. J Neural Eng 2021; 18. [PMID: 34670201 DOI: 10.1088/1741-2552/ac314b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/20/2021] [Indexed: 01/01/2023]
Abstract
Objective. Heterogeneous clinical responses to treatment with non-invasive brain stimulation are commonly observed, making it necessary to determine personally optimized stimulation parameters. We investigated neuroimaging markers of effective brain targets of treatment with continuous theta burst stimulation (cTBS) in mal de débarquement syndrome (MdDS), a balance disorder of persistent oscillating vertigo previously shown to exhibit abnormal intrinsic functional connectivity.Approach.Twenty-four right-handed, cTBS-naive individuals with MdDS received single administrations of cTBS over one of three stimulation targets in randomized order. The optimal target was determined based on the assessment of acute changes after the administration of cTBS over each target. Repetitive cTBS sessions were delivered on three consecutive days with the optimal target chosen by the participant. Electroencephalography (EEG) was recorded at single-administration test sessions of cTBS. Simultaneous EEG and functional MRI data were acquired at baseline and after completion of 10-12 sessions. Network connectivity changes after single and repetitive stimulations of cTBS were analyzed.Main results.Using electrophysiological source imaging and a data-driven method, we identified network-level connectivity changes in EEG that correlated with symptom responses after completion of multiple sessions of cTBS. We further determined that connectivity changes demonstrated by EEG during test sessions of single administrations of cTBS were signatures that could predict optimal targets.Significance.Our findings demonstrate the effect of cTBS on resting state brain networks and suggest an imaging-based, closed-loop stimulation paradigm that can identify optimal targets during short-term test sessions of stimulation.ClinicalTrials.gov Identifier:NCT02470377.
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Affiliation(s)
- Yafen Chen
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America
| | - Yoon-Hee Cha
- University of Minnesota, Minneapolis, MN, United States of America
| | - Diamond Gleghorn
- Missouri State University, Springfield, MO, United States of America
| | | | - Guofa Shou
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America
| | - Lei Ding
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, 3100 Monitor Ave Suite 125Norman, OK, 73019, United States of America
| | - Han Yuan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, 3100 Monitor Ave Suite 125Norman, OK, 73019, United States of America
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Causse M, Lepron E, Mandrick K, Peysakhovich V, Berry I, Callan D, Rémy F. Facing successfully high mental workload and stressors: An fMRI study. Hum Brain Mapp 2021; 43:1011-1031. [PMID: 34738280 PMCID: PMC8764488 DOI: 10.1002/hbm.25703] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 10/13/2021] [Accepted: 10/19/2021] [Indexed: 11/29/2022] Open
Abstract
The present fMRI study aimed at highlighting patterns of brain activations and autonomic activity when confronted with high mental workload and the threat of auditory stressors. Twenty participants performed a complex cognitive task in either safe or aversive conditions. Our results showed that increased mental workload induced recruitment of the lateral frontoparietal executive control network (ECN), along with disengagement of medial prefrontal and posterior cingulate regions of the default mode network (DMN). Mental workload also elicited an increase in heart rate and pupil diameter. Task performance did not decrease under the threat of stressors, most likely due to efficient inhibition of auditory regions, as reflected by a large decrement of activity in the superior temporal gyri. The threat of stressors was also accompanied with deactivations of limbic regions of the salience network (SN), possibly reflecting emotional regulation mechanisms through control from dorsal medial prefrontal and parietal regions, as indicated by functional connectivity analyses. Meanwhile, the threat of stressors induced enhanced ECN activity, likely for improved attentional and cognitive processes toward the task, as suggested by increased lateral prefrontal and parietal activations. These fMRI results suggest that measuring the balance between ECN, SN, and DMN recruitment could be used for objective mental state assessment. In this sense, an extra recruitment of task‐related regions and a high ratio of lateral versus medial prefrontal activity may represent a relevant marker of increased but efficient mental effort, while the opposite may indicate a disengagement from the task due to mental overload and/or stressors.
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Affiliation(s)
| | - Evelyne Lepron
- Centre de Recherche Cerveau et CognitionUniversité de Toulouse UPS and CNRSToulouseFrance
| | | | | | - Isabelle Berry
- Centre de Recherche Cerveau et CognitionUniversité de Toulouse UPS and CNRSToulouseFrance
| | - Daniel Callan
- ATR Neural Information Analysis LaboratoriesKyotoJapan
| | - Florence Rémy
- Centre de Recherche Cerveau et CognitionUniversité de Toulouse UPS and CNRSToulouseFrance
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58
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Sisakhti M, Sachdev PS, Batouli SAH. The Effect of Cognitive Load on the Retrieval of Long-Term Memory: An fMRI Study. Front Hum Neurosci 2021; 15:700146. [PMID: 34720904 PMCID: PMC8548369 DOI: 10.3389/fnhum.2021.700146] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 09/22/2021] [Indexed: 12/02/2022] Open
Abstract
One of the less well-understood aspects of memory function is the mechanism by which the brain responds to an increasing load of memory, either during encoding or retrieval. Identifying the brain structures which manage this increasing cognitive demand would enhance our knowledge of human memory. Despite numerous studies about the effect of cognitive loads on working memory processes, whether these can be applied to long-term memory processes is unclear. We asked 32 healthy young volunteers to memorize all possible details of 24 images over a 12-day period ending 2 days before the fMRI scan. The images were of 12 categories relevant to daily events, with each category including a high and a low load image. Behavioral assessments on a separate group of participants (#22) provided the average loads of the images. The participants had to retrieve these previously memorized images during the fMRI scan in 15 s, with their eyes closed. We observed seven brain structures showing the highest activation with increasing load of the retrieved images, viz. parahippocampus, cerebellum, superior lateral occipital, fusiform and lingual gyri, precuneus, and posterior cingulate gyrus. Some structures showed reduced activation when retrieving higher load images, such as the anterior cingulate, insula, and supramarginal and postcentral gyri. The findings of this study revealed that the mechanism by which a difficult-to-retrieve memory is handled is mainly by elevating the activation of the responsible brain areas and not by getting other brain regions involved, which is a help to better understand the LTM retrieval process in the human brain.
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Affiliation(s)
- Minoo Sisakhti
- Institute for Cognitive Sciences Studies, Tehran, Iran.,Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Perminder S Sachdev
- Centre for Healthy Brain Aging (CHeBA), School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Seyed Amir Hossein Batouli
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.,Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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59
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Zheng A, Montez DF, Marek S, Gilmore AW, Newbold DJ, Laumann TO, Kay BP, Seider NA, Van AN, Hampton JM, Alexopoulos D, Schlaggar BL, Sylvester CM, Greene DJ, Shimony JS, Nelson SM, Wig GS, Gratton C, McDermott KB, Raichle ME, Gordon EM, Dosenbach NUF. Parallel hippocampal-parietal circuits for self- and goal-oriented processing. Proc Natl Acad Sci U S A 2021; 118:e2101743118. [PMID: 34404728 PMCID: PMC8403906 DOI: 10.1073/pnas.2101743118] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The hippocampus is critically important for a diverse range of cognitive processes, such as episodic memory, prospective memory, affective processing, and spatial navigation. Using individual-specific precision functional mapping of resting-state functional MRI data, we found the anterior hippocampus (head and body) to be preferentially functionally connected to the default mode network (DMN), as expected. The hippocampal tail, however, was strongly preferentially functionally connected to the parietal memory network (PMN), which supports goal-oriented cognition and stimulus recognition. This anterior-posterior dichotomy of resting-state functional connectivity was well-matched by differences in task deactivations and anatomical segmentations of the hippocampus. Task deactivations were localized to the hippocampal head and body (DMN), relatively sparing the tail (PMN). The functional dichotomization of the hippocampus into anterior DMN-connected and posterior PMN-connected parcels suggests parallel but distinct circuits between the hippocampus and medial parietal cortex for self- versus goal-oriented processing.
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Affiliation(s)
- Annie Zheng
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110;
| | - David F Montez
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Scott Marek
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Adrian W Gilmore
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Benjamin P Kay
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Nicole A Seider
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Andrew N Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Jacqueline M Hampton
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Dimitrios Alexopoulos
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Bradley L Schlaggar
- Kennedy Krieger Institute, Baltimore, MD 21205
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Chad M Sylvester
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Deanna J Greene
- Department of Cognitive Science, University of California, San Diego, CA 92093
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Steven M Nelson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55454
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414
| | - Gagan S Wig
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL 60208
- Department of Neurology, Northwestern University, Evanston, IL 60208
| | - Kathleen B McDermott
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Marcus E Raichle
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Evan M Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110;
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110
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60
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Herrera Ortiz AF, Rincón Cuenca NT, Fernández Beaujon LJ. Cambios Encefálicos en Resonancia Magnética Causados por Maltrato Infantil: Una Revisión Sistemática de la Literatura. REVISTA CUARZO 2021. [DOI: 10.26752/cuarzo.v27.n1.522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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61
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Tang Y, Ren C, Wang M, Dai G, Xiao Y, Wang S, Han F, Chen G. Altered gray matter volume and functional connectivity in patients with herpes zoster and postherpetic neuralgia. Brain Res 2021; 1769:147608. [PMID: 34343527 DOI: 10.1016/j.brainres.2021.147608] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 06/29/2021] [Accepted: 07/29/2021] [Indexed: 02/08/2023]
Abstract
Numerous neuroimaging studies on postherpetic neuralgia (PHN) and herpes zoster (HZ) have revealed abnormalities in brain structure/microstructure and function. However, few studies have focused on changes in gray matter (GM) volume and intrinsic functional connectivity (FC) in the transition from HZ to PHN. This study combined voxel-based morphometry and FC analysis methods to investigate GM volume and FC differences in 28 PHN patients, 25 HZ patients, and 21 well-matched healthy controls (HCs). Compared to HCs, PHN patients exhibited a reduction in GM volume in the bilateral putamen. Compared with HZ patients, PHN patients showed decreased GM volume in the left parahippocampal gyrus, putamen, anterior cingulate cortex, and right caudate and increased GM volume in the right thalamus. However, no regions with significant GM volume changes were found between the HZ and HC groups. Correlation analysis revealed that GM volume in the right putamen was positively associated with illness duration in PHN patients. Furthermore, lower FCs between the right putamen and right middle frontal gyrus/brainstem were observed in PHN patients than in HCs. These results indicate that aberrant GM volumes and FC in several brain regions, especially in the right putamen, are closely associated with chronification from HZ to PHN; moreover, these changes profoundly affect multiple dimensions of pain processing. These findings may provide new insights into the pathophysiological mechanisms of PHN.
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Affiliation(s)
- Yu Tang
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Changhe Ren
- Department of Pain, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Maohua Wang
- Department of Anesthesiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Guidong Dai
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Yan Xiao
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Song Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Fugang Han
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China.
| | - Guangxiang Chen
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China.
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62
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Kurose S, Kubota M, Takahata K, Yamamoto Y, Fujiwara H, Kimura Y, Ito H, Takeuchi H, Mimura M, Suhara T, Higuchi M. Relationship between regional gray matter volumes and dopamine D 2 receptor and transporter in living human brains. Hum Brain Mapp 2021; 42:4048-4058. [PMID: 34014611 PMCID: PMC8288088 DOI: 10.1002/hbm.25538] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 04/24/2021] [Accepted: 05/11/2021] [Indexed: 12/18/2022] Open
Abstract
Although striatal dopamine neurotransmission is believed to be functionally linked to the formation of the corticostriatal network, there has been little evidence for this regulatory process in the human brain and its disruptions in neuropsychiatric disorders. Here, we aimed to investigate associations of striatal dopamine transporter (DAT) and D2 receptor availabilities with gray matter (GM) volumes in healthy humans. Positron emission tomography images of D2 receptor (n = 34) and DAT (n = 17) captured with the specific radioligands [11C]raclopride and [18F]FE‐PE2I, respectively, were acquired along with T1‐weighted magnetic resonance imaging data in our previous studies, and were re‐analyzed in this work. We quantified the binding potentials (BPND) of these radioligands in the limbic, executive, and sensorimotor functional subregions of the striatum. Correlations between the radioligand BPND and regional GM volume were then examined by voxel‐based morphometry. In line with the functional and anatomical connectivity, [11C]raclopride BPND in the limbic striatum was positively correlated with volumes of the uncal/parahippocampal gyrus and adjacent temporal areas. Similarly, we found positive correlations between the BPND of this radioligand in the executive striatum and volumes of the prefrontal cortices and their adjacent areas as well as between the BPND in the sensorimotor striatum and volumes of the somatosensory and supplementary motor areas. By contrast, no significant correlation was found between [18F]FE‐PE2I BPND and regional GM volumes. Our results suggest unique structural and functional corticostriatal associations involving D2 receptor in healthy humans, which might be partially independent of the nigrostriatal pathway reflected by striatal DAT.
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Affiliation(s)
- Shin Kurose
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Manabu Kubota
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Keisuke Takahata
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Yasuharu Yamamoto
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hironobu Fujiwara
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yasuyuki Kimura
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hiroshi Ito
- Department of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima, Japan
| | - Hiroyoshi Takeuchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Tetsuya Suhara
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Makoto Higuchi
- Department of Functional Brain Imaging, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
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63
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Sharma N, Murari G, Vandermorris S, Verhoeff NPLG, Herrmann N, Chen JJ, Mah L. Functional Connectivity Between the Posterior Default Mode Network and Parahippocampal Gyrus Is Disrupted in Older Adults with Subjective Cognitive Decline and Correlates with Subjective Memory Ability. J Alzheimers Dis 2021; 82:435-445. [PMID: 34024823 DOI: 10.3233/jad-201579] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is associated with increased risk of developing Alzheimer's disease (AD). However, the underlying mechanisms for this association remain unclear. Neuroimaging studies suggest the earliest AD-related changes are large-scale network disruptions, beginning in the posterior default mode (pDMN) network. OBJECTIVE To examine the association between SCD and pDMN network connectivity with medial temporal lobe (MTL) regions using resting-state functional magnetic resonance imaging. METHODS Forty-nine participants with either SCD (n = 23, 12 females; mean age: 70.7 (5.5)) or who were cognitively unimpaired (CU; n = 26, 16 females, mean age: 71.42 (7.3)) completed the Memory Functioning Questionnaire, a measure of subjective memory, and underwent resting state functional MRI at 3 Tesla. Functional connectivity between the posterior cingulate cortex (PCC), as the key pDMN node, and MTL regions were compared between SCD and CU groups. Further, the association between pDMN-MTL connectivity and the Frequency of Forgetting subscale of the Memory Functioning Questionnaire was examined. RESULTS Connectivity between the PCC-MTL was observed in the CU group but was absent in SCD (t(47) = 2.69, p = 0.01). Across all participants, self-perception of frequency of forgetting, but not objective memory, was strongly correlated with connectivity between the PCC-left parahippocampal gyrus (r = 0.43, p = 0.002). CONCLUSION These findings support the hypothesis that increased AD risk in SCD may be mediated by disrupted pDMN-parahippocampal connectivity. In addition, these findings suggest that frequency of forgetting may serve as a potential biomarker of SCD due to incipient AD.
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Affiliation(s)
- Namita Sharma
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Geetanjali Murari
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | | | - Nicolaas Paul L G Verhoeff
- Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychiatry, Geriatric Psychiatry Division, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, Geriatric Psychiatry Division, University of Toronto, Toronto, ON, Canada
| | - J Jean Chen
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Linda Mah
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychiatry, Geriatric Psychiatry Division, University of Toronto, Toronto, ON, Canada
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64
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Warren DE, Rangel AJ, Christopher-Hayes NJ, Eastman JA, Frenzel MR, Stephen JM, Calhoun VD, Wang YP, Wilson TW. Resting-state functional connectivity of the human hippocampus in periadolescent children: Associations with age and memory performance. Hum Brain Mapp 2021; 42:3620-3642. [PMID: 33978276 PMCID: PMC8249892 DOI: 10.1002/hbm.25458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 12/12/2022] Open
Abstract
The hippocampus is necessary for declarative (relational) memory, and the ability to form hippocampal‐dependent memories develops through late adolescence. This developmental trajectory of hippocampal‐dependent memory could reflect maturation of intrinsic functional brain networks, but resting‐state functional connectivity (rs‐FC) of the human hippocampus is not well‐characterized for periadolescent children. Measuring hippocampal rs‐FC in periadolescence would thus fill a gap, and testing covariance of hippocampal rs‐FC with age and memory could inform theories of cognitive development. Here, we studied hippocampal rs‐FC in a cross‐sectional sample of healthy children (N = 96; 59 F; age 9–15 years) using a seed‐based approach, and linked these data with NIH Toolbox measures, the Picture‐Sequence Memory Test (PSMT) and the List Sorting Working Memory Test (LSWMT). The PSMT was expected to rely more on hippocampal‐dependent memory than the LSWMT. We observed hippocampal rs‐FC with an extensive brain network including temporal, parietal, and frontal regions. This pattern was consistent with prior work measuring hippocampal rs‐FC in younger and older samples. We also observed novel, regionally specific variation in hippocampal rs‐FC with age and hippocampal‐dependent memory but not working memory. Evidence consistent with these findings was observed in a second, validation dataset of similar‐age healthy children drawn from the Philadelphia Neurodevelopment Cohort. Further, a cross‐dataset analysis suggested generalizable properties of hippocampal rs‐FC and covariance with age and memory. Our findings connect prior work by describing hippocampal rs‐FC and covariance with age and memory in typically developing periadolescent children, and our observations suggest a developmental trajectory for brain networks that support hippocampal‐dependent memory.
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Affiliation(s)
- David E Warren
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Anthony J Rangel
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | | | - Jacob A Eastman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Michaela R Frenzel
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | | | - Vince D Calhoun
- The Mind Research Network, Albuquerque, New Mexico, USA.,Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA
| | | | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA.,Boys Town National Research Hospital, Boys Town, Nebraska, USA
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Nellessen N, Onur OA, Richter N, Jacobs HIL, Dillen KNH, Reutern BV, Langen KJ, Fink GR, Kukolja J. Differential neural structures, intrinsic functional connectivity, and episodic memory in subjective cognitive decline and healthy controls. Neurobiol Aging 2021; 105:159-173. [PMID: 34090179 DOI: 10.1016/j.neurobiolaging.2021.04.016] [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: 08/31/2020] [Revised: 04/05/2021] [Accepted: 04/20/2021] [Indexed: 11/15/2022]
Abstract
The neural correlates of subjective cognitive decline (SCD; i.e., without objectifiable deficit) remain to be elucidated. Possible causes of SCD include early neurodegeneration related to Alzheimer's disease or functional and structural changes related to sub-clinical depression. We investigated the relationship between episodic memory performance or memory complaints and structural or functional magnetic resonance imaging (MRI) measures in participants with SCD (n=18) but without psychiatric disorders and healthy controls (n=31). In SCD, memory complaints were not associated with memory performance but with sub-clinical depression and executive functions. SCD-associated memory complaints correlated with higher amygdala and parahippocampal gyrus (specifically subiculum) gray matter density. In controls, but not in SCD, mesiotemporal gray matter density and superior frontal gyrus functional connectivity predicted memory performance. In contrast, in SCD, only a trend toward a correlation between memory performance and gray matter density in the parietooccipital lobes was observed. In our memory-clinic sample of SCD, we did not observe incipient neurodegeneration (limited to structural and functional MRI) but rather sub-clinical depression underlying subjective cognitive complaints.
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Affiliation(s)
- Nils Nellessen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, 42283 Wuppertal, Germany; Faculty of Health, Witten/Herdecke University, Witten, Germany
| | - Oezguer A Onur
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Nils Richter
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Heidi I L Jacobs
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg; Maastricht University, Maastricht, Netherlands; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kim N H Dillen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
| | - Boris von Reutern
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Karl J Langen
- Institute of Neuroscience and Medicine (INM-4), Research Center Jülich, Jülich, Germany; Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany; Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Juraj Kukolja
- Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, 42283 Wuppertal, Germany; Faculty of Health, Witten/Herdecke University, Witten, Germany
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66
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Mallas EJ, De Simoni S, Scott G, Jolly AE, Hampshire A, Li LM, Bourke NJ, Roberts SAG, Gorgoraptis N, Sharp DJ. Abnormal dorsal attention network activation in memory impairment after traumatic brain injury. Brain 2021; 144:114-127. [PMID: 33367761 DOI: 10.1093/brain/awaa380] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 07/17/2020] [Accepted: 08/19/2020] [Indexed: 11/14/2022] Open
Abstract
Memory impairment is a common, disabling effect of traumatic brain injury. In healthy individuals, successful memory encoding is associated with activation of the dorsal attention network as well as suppression of the default mode network. Here, in traumatic brain injury patients we examined whether: (i) impairments in memory encoding are associated with abnormal brain activation in these networks; (ii) whether changes in this brain activity predict subsequent memory retrieval; and (iii) whether abnormal white matter integrity underpinning functional networks is associated with impaired subsequent memory. Thirty-five patients with moderate-severe traumatic brain injury aged 23-65 years (74% males) in the post-acute/chronic phase after injury and 16 healthy control subjects underwent functional MRI during performance of an abstract image memory encoding task. Diffusion tensor imaging was used to assess structural abnormalities across patient groups compared to 28 age-matched healthy controls. Successful memory encoding across all participants was associated with activation of the dorsal attention network, the ventral visual stream and medial temporal lobes. Decreased activation was seen in the default mode network. Patients with preserved episodic memory demonstrated increased activation in areas of the dorsal attention network. Patients with impaired memory showed increased left anterior prefrontal activity. White matter microstructure underpinning connectivity between core nodes of the encoding networks was significantly reduced in patients with memory impairment. Our results show for the first time that patients with impaired episodic memory show abnormal activation of key nodes within the dorsal attention network and regions regulating default mode network activity during encoding. Successful encoding was associated with an opposite direction of signal change between patients with and without memory impairment, suggesting that memory encoding mechanisms could be fundamentally altered in this population. We demonstrate a clear relationship between functional networks activated during encoding and underlying abnormalities within the structural connectome in patients with memory impairment. We suggest that encoding failures in this group are likely due to failed control of goal-directed attentional resources.
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Affiliation(s)
- Emma-Jane Mallas
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK
| | - Sara De Simoni
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK
| | - Gregory Scott
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK
| | - Amy E Jolly
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK
| | - Adam Hampshire
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK.,UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London, London, UK
| | - Lucia M Li
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK.,UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London, London, UK
| | - Niall J Bourke
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK
| | - Stuart A G Roberts
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK.,Academic Department of Military Surgery and Trauma (ADMST), Royal Centre for Defence Medicine (RCDM), Birmingham, UK
| | - Nikos Gorgoraptis
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK
| | - David J Sharp
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Brain Sciences, Imperial College London, London, UK.,UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London, London, UK.,Royal British Legion Centre for Blast Injury Studies, Department of Bioengineering, Imperial College London, London, UK
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67
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Zhang Z, Yuan Q, Liu Z, Zhang M, Wu J, Lu C, Ding G, Guo T. The cortical organization of writing sequence: evidence from observing Chinese characters in motion. Brain Struct Funct 2021; 226:1627-1639. [DOI: 10.1007/s00429-021-02276-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 04/09/2021] [Indexed: 12/27/2022]
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68
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Knutson KM, Gotts SJ, Wassermann EM, Lewis JD. Testosterone and Resting State Connectivity of the Parahippocampal Gyrus in Men With History of Deployment-Related Mild Traumatic Brain Injury. Mil Med 2021; 185:e1750-e1758. [PMID: 32776114 DOI: 10.1093/milmed/usaa142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
INTRODUCTION The purpose of this study was to explore the effect of low testosterone level on whole-brain resting state (RS) connectivity in male veterans with symptoms such as sleep disturbance, fatiguability, pain, anxiety, irritability, or aggressiveness persisting after mild traumatic brain injury (mTBI). Follow-up analyses were performed to determine if sleep scores affected the results. MATERIALS AND METHODS In our cross-sectional design study, RS magnetic resonance imaging scans on 28 veterans were performed, and testosterone, sleep quality, mood, and post-traumatic stress symptoms were measured. For each participant, we computed the average correlation of each voxel's time-series with the rest of the voxels in the brain, then used AFNI's 3dttest++ on the group data to determine whether the effects of testosterone level on whole-brain connectivity were significant. We then performed follow-up region of interest-based RS analyses of testosterone, with and without sleep quality as a covariate. The study protocol was approved by the National Institute of Health's Combined Neuroscience Institutional Review Board. RESULTS Sixteen participants reported repeated blast exposure in theater, leading to symptoms; the rest reported exposure to a single blast or a nonblast TBI. Thirty-three percent had testosterone levels <300 ng/dL. Testosterone level was lower in participants who screened positive for post-traumatic stress disorder compared to those who screened negative, but it did not reach statistical significance. Whole-brain connectivity and testosterone level were positively correlated in the left parahippocampal gyrus (LPhG), especially in its connectivity with frontal areas, the lingual gyrus, cingulate, insula, caudate, and right parahippocampal gyrus. Further analysis revealed that the effect of testosterone on LPhG connectivity is only partially mediated by sleep quality. Sleep quality by itself had an effect on connectivity of the thalamus, cerebellum, precuneus, and posterior cingulate. CONCLUSION Lower testosterone levels were correlated with lower connectivity of the LPhG. Weaknesses of this study include a retrospective design based on self-report of mTBI and the lack of a control group without TBI. Without a control group or pre-injury testosterone measures, we were not able to attribute the rate of low testosterone in our participants to TBI per se. Also testosterone levels were checked only once. The high rate of low testosterone level that we found suggests there may be an association between low testosterone level and greater post-traumatic stress disorder symptoms following deployment, but the causality of the relationships between TBI and deployment stress, testosterone level, behavioral symptomatology, and LPhG connectivity remains to be determined. Our study on men with persistent symptoms postdeployment and post-mTBI may help us understand the role of low testosterone and sleep quality in persistent symptoms and may be important in developing therapeutic interventions. Our results highlight the role of the LPhG, as we found that whole-brain connectivity in that region was positively associated with testosterone level, with only a limited portion of that effect attributable to sleep quality.
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Affiliation(s)
- Kristine M Knutson
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke/National Institutes of Health, Room 7D41, MSC 1440, 10 Center Dr, Bethesda, MD 20892-1440
| | - Stephen J Gotts
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Room 4C217, 10 Center Dr, Bethesda, MD 20814
| | - Eric M Wassermann
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke/National Institutes of Health, Room 7D41, MSC 1440, 10 Center Dr, Bethesda, MD 20892-1440
| | - Jeffrey D Lewis
- Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke/National Institutes of Health, Room 7D41, MSC 1440, 10 Center Dr, Bethesda, MD 20892-1440.,Mental Health Clinic, 88th Medical Group, Wright Patterson Medical Center, 4881 Sugar Maple Drive, Wright-Patterson AFB OH 45433
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Imaging recollection, familiarity, and novelty in the frontoparietal control and default mode networks and the anterior-posterior medial temporal lobe: An integrated view and meta-analysis. Neurosci Biobehav Rev 2021; 126:491-508. [PMID: 33857579 DOI: 10.1016/j.neubiorev.2021.04.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 03/04/2021] [Accepted: 04/07/2021] [Indexed: 11/22/2022]
Abstract
A network-level model of recollection-based recognition (R), familiarity-based recognition (F), and novelty recognition (N) was constructed, and its validity was evaluated through meta-analyses to produce an integrated view of neuroimaging data. The model predicted the following: (a) the overall magnitude of the frontoparietal control network (FPCN) activity (which supports retrieval and decision effort) is in the order of F > R > N; (b) that of the posterior medial temporal network (MTL) activity (which plays a direct role in retrieval) is in the order of R > N > F; (c) that of the anterior MTL activity (which supports novelty-encoding) is in the order of N > R > F; (d) that of the default mode network (DMN) activity (which supports the subjective experience of remembering) is in the order of R > N > F. The meta-analyses results were consistent with these predictions. Subsystem analysis indicated a functional dissociation between the cingulo-opercular vs. frontoparietal components of the FPCN and between the core vs. medial temporal components of the DMN.
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70
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Savšek L, Stergar T, Strojnik V, Ihan A, Koren A, Špiclin Ž, Šega Jazbec S. Impact of aerobic exercise on clinical and magnetic resonance imaging biomarkers in persons with multiple sclerosis: An exploratory randomized controlled trial. J Rehabil Med 2021; 53:jrm00178. [PMID: 33739437 PMCID: PMC8814886 DOI: 10.2340/16501977-2814] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND There is insufficient knowledge about how aerobic exercise impacts the disease process of multiple sclerosis, which is characterized by accumulation of white matter lesions and accelerated brain atrophy. OBJECTIVE To examine the effect of aerobic exercise on neuroinflammation and neurodegeneration by magnetic resonance imaging and clinical measures of disease activity and progression in persons with multiple sclerosis. PATIENTS AND METHODS An exploratory 12-week randomized control trial including an intervention group (n = 14, 12 weeks of aerobic exercise twice weekly) and a control group (n = 14, continuation of usual lifestyle). Primary outcomes were magnetic resonance imaging measures (lesion load, brain structure volume change), while secondary outcomes included disability measures, blood cytokine levels, cognitive tests and patient-reported outcomes. RESULTS The effects of aerobic exercise on whole brain and grey matter atrophy were minor. Surprisingly, the observed effect on volume (atrophy) in selected brain substructures was heterogeneous. Putaminal and posterior cingulate volumes decreased, parahippocampal gyrus volume increased, thalamus and amygdala volume remained the same, and active lesion load and count decreased. However, apart from weak improvements in walking speed and brain-derived neurotrophic factor levels, there was no effect of aerobic exercise on other clinical, cognitive or patient-reported outcomes. CONCLUSION These results suggest that aerobic exercise in persons with multiple sclerosis has a positive effect on the volume of some of the substructures of the brain, possibly indicating a slowing of the neurodegenerative process in these regions, but a negative impact on the volume of some other substructures, with unclear implications. Further research is needed to determine whether the slight decrease in active lesion volume and count implies an anti-inflammatory effect of aerobic exercise, and the exact significance of the heterogeneous results of volumetric assessments.
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Affiliation(s)
- Lina Savšek
- Department of Neurology, General Hospital Celje, Celje, Slovenia. E-mail:
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71
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Cha YH, Ding L, Yuan H. Neuroimaging Markers of Mal de Débarquement Syndrome. Front Neurol 2021; 12:636224. [PMID: 33746890 PMCID: PMC7970001 DOI: 10.3389/fneur.2021.636224] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 01/22/2021] [Indexed: 01/10/2023] Open
Abstract
Mal de débarquement syndrome (MdDS) is a motion-induced disorder of oscillating vertigo that persists after the motion has ceased. The neuroimaging characteristics of the MdDS brain state have been investigated with studies on brain metabolism, structure, functional connectivity, and measurements of synchronicity. Baseline metabolism and resting-state functional connectivity studies indicate that a limbic focus in the left entorhinal cortex and amygdala may be important in the pathology of MdDS, as these structures are hypermetabolic in MdDS and exhibit increased functional connectivity to posterior sensory processing areas and reduced connectivity to the frontal and temporal cortices. Both structures are tunable with periodic stimulation, with neurons in the entorhinal cortex required for spatial navigation, acting as a critical efferent pathway to the hippocampus, and sending and receiving projections from much of the neocortex. Voxel-based morphometry measurements have revealed volume differences between MdDS and healthy controls in hubs of multiple resting-state networks including the default mode, salience, and executive control networks. In particular, volume in the bilateral anterior cingulate cortices decreases and volume in the bilateral inferior frontal gyri/anterior insulas increases with longer duration of illness. Paired with noninvasive neuromodulation interventions, functional neuroimaging with functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and simultaneous fMRI-EEG have shown changes in resting-state functional connectivity that correlate with symptom modulation, particularly in the posterior default mode network. Reduced parieto-occipital connectivity with the entorhinal cortex and reduced long-range fronto-parieto-occipital connectivity correlate with symptom improvement. Though there is a general theme of desynchronization correlating with reduced MdDS symptoms, the prediction of optimal stimulation parameters for noninvasive brain stimulation in individuals with MdDS remains a challenge due to the large parameter space. However, the pairing of functional neuroimaging and noninvasive brain stimulation can serve as a probe into the biological underpinnings of MdDS and iteratively lead to optimal parameter space identification.
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Affiliation(s)
- Yoon Hee Cha
- Department of Neurology, University of Minnesota, Minneapolis, MN, United States
| | - Lei Ding
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States
| | - Han Yuan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States
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72
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Liloia D, Mancuso L, Uddin LQ, Costa T, Nani A, Keller R, Manuello J, Duca S, Cauda F. Gray matter abnormalities follow non-random patterns of co-alteration in autism: Meta-connectomic evidence. Neuroimage Clin 2021; 30:102583. [PMID: 33618237 PMCID: PMC7903137 DOI: 10.1016/j.nicl.2021.102583] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/15/2020] [Accepted: 01/30/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by atypical brain anatomy and connectivity. Graph-theoretical methods have mainly been applied to detect altered patterns of white matter tracts and functional brain activation in individuals with ASD. The network topology of gray matter (GM) abnormalities in ASD remains relatively unexplored. METHODS An innovative meta-connectomic analysis on voxel-based morphometry data (45 experiments, 1,786 subjects with ASD) was performed in order to investigate whether GM variations can develop in a distinct pattern of co-alteration across the brain. This pattern was then compared with normative profiles of structural and genetic co-expression maps. Graph measures of centrality and clustering were also applied to identify brain areas with the highest topological hierarchy and core sub-graph components within the co-alteration network observed in ASD. RESULTS Individuals with ASD exhibit a distinctive and topologically defined pattern of GM co-alteration that moderately follows the structural connectivity constraints. This was not observed with respect to the pattern of genetic co-expression. Hub regions of the co-alteration network were mainly left-lateralized, encompassing the precuneus, ventral anterior cingulate, and middle occipital gyrus. Regions of the default mode network appear to be central in the topology of co-alterations. CONCLUSION These findings shed new light on the pathobiology of ASD, suggesting a network-level dysfunction among spatially distributed GM regions. At the same time, this study supports pathoconnectomics as an insightful approach to better understand neuropsychiatric disorders.
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Affiliation(s)
- Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Lorenzo Mancuso
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, FL, USA; Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Roberto Keller
- Adult Autism Center, DSM Local Health Unit, ASL TO, Turin, Italy.
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), Turin, Italy.
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73
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Haatveit B, Mørch-Johnsen L, Alnæs D, Engen MJ, Lyngstad SH, Færden A, Agartz I, Ueland T, Melle I. Divergent relationship between brain structure and cognitive functioning in patients with prominent negative symptomatology. Psychiatry Res Neuroimaging 2021; 307:111233. [PMID: 33340940 DOI: 10.1016/j.pscychresns.2020.111233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 11/19/2022]
Abstract
Investigating commonalities in underlying pathology of cognitive dysfunction and negative symptoms in schizophrenia is important, as both are core features of the disorder and linked to brain structure abnormalities. We aimed to explore the relationship between cognition, negative symptoms and brain structure in schizophrenia. A total of 225 patients with Schizophrenia spectrum disorder and 283 healthy controls from the Norwegian Thematically Organized Psychosis (TOP) cohort were included in this study. Patients were categorized into four patient subgroups based on severity of negative symptoms: no-negative- (NNS), threshold-negative- (TNS), moderate-negative- (MNS), and prominent-negative (PNS) subgroups. MRI measures of brain volume, mean cortical thickness and surface area from pre-selected brain regions were tested for relationships with general cognitive ability and negative symptom subgroups. Positive associations were found between brain volume, thickness, surface area and cognition in the dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex (OFC), fusiform gyrus (FG) and the left anterior cingulate cortex (ACC), but with no differences between subgroups. In the PNS subgroup, cognition was conversely negatively associated with brain volume in the left ACC. These results indicate that patients with prominent negative symptoms have different associations between cognition and brain structure in the left ACC, which may point to abnormal neurodevelopment.
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Affiliation(s)
- Beathe Haatveit
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Lynn Mørch-Johnsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Magnus Johan Engen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Siv Hege Lyngstad
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ann Færden
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Acute Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, 0319 Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Torill Ueland
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Pelkmans W, Legdeur N, Ten Kate M, Barkhof F, Yaqub MM, Holstege H, van Berckel BNM, Scheltens P, van der Flier WM, Visser PJ, Tijms BM. Amyloid-β, cortical thickness, and subsequent cognitive decline in cognitively normal oldest-old. Ann Clin Transl Neurol 2021; 8:348-358. [PMID: 33421355 PMCID: PMC7886045 DOI: 10.1002/acn3.51273] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 11/16/2020] [Accepted: 11/19/2020] [Indexed: 12/14/2022] Open
Abstract
Objective To investigate the relationship between amyloid‐β (Aβ) deposition and markers of brain structure on cognitive decline in oldest‐old individuals with initial normal cognition. Methods We studied cognitive functioning in four domains at baseline and change over time in fifty‐seven cognitively intact individuals from the EMIF‐AD 90+ study. Predictors were Aβ status determined by [18F]‐flutemetamol PET (normal = Aβ − vs. abnormal = Aβ+), cortical thickness in 34 regions and hippocampal volume. Mediation analyses were performed to test whether effects of Aβ on cognitive decline were mediated by atrophy of specific anatomical brain areas. Results Subjects had a mean age of 92.7 ± 2.9 years, of whom 19 (33%) were Aβ+. Compared to Aβ−, Aβ+ individuals showed steeper decline on memory (β ± SE = −0.26 ± 0.09), and processing speed (β ± SE = −0.18 ± 0.08) performance over 1.5 years (P < 0.05). Furthermore, medial and lateral temporal lobe atrophy was associated with steeper decline in memory and language across individuals. Mediation analyses revealed that part of the memory decline observed in Aβ+ individuals was mediated through parahippocampal atrophy. Interpretation These results show that Aβ abnormality even in the oldest old with initially normal cognition is not part of normal aging, but is associated with a decline in cognitive functioning. Other pathologies may also contribute to decline in the oldest old as cortical thickness predicted cognitive decline similarly in individuals with and without Aβ pathology.
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Affiliation(s)
- Wiesje Pelkmans
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nienke Legdeur
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mara Ten Kate
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Queen Square Institute of Neurology and Centre for Medical Image Computing, UCL, London, UK
| | - Maqsood M Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology I Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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75
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Musical Training and Brain Volume in Older Adults. Brain Sci 2021; 11:brainsci11010050. [PMID: 33466337 PMCID: PMC7824792 DOI: 10.3390/brainsci11010050] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 12/24/2020] [Accepted: 12/28/2020] [Indexed: 12/14/2022] Open
Abstract
Musical practice, including musical training and musical performance, has been found to benefit cognitive function in older adults. Less is known about the role of musical experiences on brain structure in older adults. The present study examined the role of different types of musical behaviors on brain structure in older adults. We administered the Goldsmiths Musical Sophistication Index, a questionnaire that includes questions about a variety of musical behaviors, including performance on an instrument, musical practice, allocation of time to music, musical listening expertise, and emotional responses to music. We demonstrated that musical training, defined as the extent of musical training, musical practice, and musicianship, was positively and significantly associated with the volume of the inferior frontal cortex and parahippocampus. In addition, musical training was positively associated with volume of the posterior cingulate cortex, insula, and medial orbitofrontal cortex. Together, the present study suggests that musical behaviors relate to a circuit of brain regions involved in executive function, memory, language, and emotion. As gray matter often declines with age, our study has promising implications for the positive role of musical practice on aging brain health.
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76
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Piani MC, Maggioni E, Delvecchio G, Ferro A, Gritti D, Pozzoli SM, Fontana E, Enrico P, Cinnante CM, Triulzi FM, Stanley JA, Battaglioli E, Brambilla P. Sexual Dimorphism in the Brain Correlates of Adult-Onset Depression: A Pilot Structural and Functional 3T MRI Study. Front Psychiatry 2021; 12:683912. [PMID: 35069272 PMCID: PMC8766797 DOI: 10.3389/fpsyt.2021.683912] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022] Open
Abstract
Major Depressive Disorder (MDD) is a disabling illness affecting more than 5% of the elderly population. Higher female prevalence and sex-specific symptomatology have been observed, suggesting that biologically-determined dimensions might affect the disease onset and outcome. Rumination and executive dysfunction characterize adult-onset MDD, but sex differences in these domains and in the related brain mechanisms are still largely unexplored. The present pilot study aimed to explore any interactions between adult-onset MDD and sex on brain morphology and brain function during a Go/No-Go paradigm. We hypothesized to detect diagnosis by sex effects on brain regions involved in self-referential processes and cognitive control. Twenty-four subjects, 12 healthy (HC) (mean age 68.7 y, 7 females and 5 males) and 12 affected by adult-onset MDD (mean age 66.5 y, 5 females and 7 males), underwent clinical evaluations and a 3T magnetic resonance imaging (MRI) session. Diagnosis and diagnosis by sex effects were assessed on regional gray matter (GM) volumes and task-related functional MRI (fMRI) activations. The GM volume analyses showed diagnosis effects in left mid frontal cortex (p < 0.01), and diagnosis by sex effects in orbitofrontal, olfactory, and calcarine regions (p < 0.05). The Go/No-Go fMRI analyses showed MDD effects on fMRI activations in left precuneus and right lingual gyrus, and diagnosis by sex effects on fMRI activations in right parahippocampal gyrus and right calcarine cortex (p < 0.001, ≥ 40 voxels). Our exploratory results suggest the presence of sex-specific brain correlates of adult-onset MDD-especially in regions involved in attention processing and in the brain default mode-potentially supporting cognitive and symptom differences between sexes.
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Affiliation(s)
- Maria Chiara Piani
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Adele Ferro
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Davide Gritti
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Sara M Pozzoli
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Fontana
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Paolo Enrico
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Claudia M Cinnante
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Fabio M Triulzi
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Jeffrey A Stanley
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - Elena Battaglioli
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Segrate, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
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Tang Y, Wang M, Zheng T, Xiao Y, Wang S, Han F, Chen G. Structural and functional brain abnormalities in postherpetic neuralgia: A systematic review of neuroimaging studies. Brain Res 2020; 1752:147219. [PMID: 33358730 DOI: 10.1016/j.brainres.2020.147219] [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] [Received: 09/05/2020] [Revised: 11/25/2020] [Accepted: 11/27/2020] [Indexed: 02/08/2023]
Abstract
In recent decades, an increasing number of neuroimaging studies utilizing magnetic resonance imaging (MRI) have explored the differential effects of postherpetic neuralgia (PHN) on brain structure and function. We systematically reviewed and integrated the findings from relevant neuroimaging studies in PHN patients. A total of 15 studies with 16 datasets were ultimately included in the present study, which were categorized by the different neuroimaging modalities. The results revealed that PHN was closely associated with structural/microstructural and functional abnormalities of the brain mainly located in the 'pain matrix', including the thalamus, insula, parahippocampus, amygdala, dorsolateral prefrontal cortex, precentral gyrus and inferior parietal lobe, as well as other regions, such as the precuneus, lentiform nucleus and brainstem. Furthermore, a disruption of multiple networks, including the default-mode network, salience network and limbic system, may contribute to the neurophysiological mechanisms underlying PHN. The findings indicate that the cerebral abnormalities of PHN were not restricted to the pain matrix but extended to other regions, profoundly affecting the regulation and moderation of pain processing in PHN. Future prospective and longitudinal neuroimaging studies with larger samples will elucidate the progressive trajectory of neural changes in the pathophysiological process of PHN.
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Affiliation(s)
- Yu Tang
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Maohua Wang
- Department of Anesthesiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Ting Zheng
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Yan Xiao
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Song Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Fugang Han
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Guangxiang Chen
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China.
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78
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Tan W, Wang W, Yang Y, Chen Y, Kang Y, Huang Y, Gong Z, Zhan S, Ke Z, Wang J, Yuan W, Huang W, Zee C, Chen Z, Chen BT. Spinal Manipulative Therapy Alters Brain Activity in Patients With Chronic Low Back Pain: A Longitudinal Brain fMRI Study. Front Integr Neurosci 2020; 14:534595. [PMID: 33328915 PMCID: PMC7710896 DOI: 10.3389/fnint.2020.534595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 10/26/2020] [Indexed: 12/17/2022] Open
Abstract
Background: Spinal manipulative therapy (SMT) helps to reduce chronic low back pain (cLBP). However, the underlying mechanism of pain relief and the neurological response to SMT remains unclear. We utilized brain functional magnetic resonance imaging (fMRI) upon the application of a real-time spot pressure mechanical stimulus to assess the effects of SMT on patients with cLBP. Methods: Patients with cLBP (Group 1, n = 14) and age-matched healthy controls without cLBP (Group 2, n = 20) were prospectively enrolled. Brain fMRI was performed for Group 1 at three time points: before SMT (TP1), after the first SMT session (TP2), and after the sixth SMT session (TP3). The healthy controls (Group 2) did not receive SMT and underwent only one fMRI scan. During fMRI scanning, a real-time spot pressure mechanical stimulus was applied to the low back area of all participants. Participants in Group 1 completed clinical questionnaires assessing pain and quality of life using a visual analog scale (VAS) and the Chinese Short Form Oswestry Disability Index (C-SFODI), respectively. Results: Before SMT (TP1), there were no significant differences in brain activity between Group 1 and Group 2. After the first SMT session (TP2), Group 1 showed significantly greater brain activity in the right parahippocampal gyrus, right dorsolateral prefrontal cortex, and left precuneus compared to Group 2 (P < 0.05). After the sixth SMT session (TP3), Group 1 showed significantly greater brain activity in the posterior cingulate gyrus and right inferior frontal gyrus compared to Group 2 (P < 0.05). After both the first and sixth SMT sessions (TP2 and TP3), Group 1 had significantly lower VAS pain scores and C-SFODI scores than at TP1 (P < 0.001). Conclusion: We observed alterations in brain activity in regions of the default mode network in patients with cLBP after SMT. These findings suggest the potential utility of the default mode network as a neuroimaging biomarker for pain management in patients with cLBP. Clinical Trial Registration:Chinese Clinical Trial Registry, identifier ChiCTR1800015620.
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Affiliation(s)
- Wenli Tan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Wang
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuchan Yang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yilei Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yingjie Kang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanwen Huang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhigang Gong
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Songhua Zhan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zeng Ke
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jianwei Wang
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Weian Yuan
- Institute of Traumatology and Orthopedics, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Weiyuan Huang
- Department of Radiology, Hainan General Hospital, Haikou, China
| | - Chishing Zee
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Zikuan Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| | - Bihong T Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
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79
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Whitesell JD, Liska A, Coletta L, Hirokawa KE, Bohn P, Williford A, Groblewski PA, Graddis N, Kuan L, Knox JE, Ho A, Wakeman W, Nicovich PR, Nguyen TN, van Velthoven CTJ, Garren E, Fong O, Naeemi M, Henry AM, Dee N, Smith KA, Levi B, Feng D, Ng L, Tasic B, Zeng H, Mihalas S, Gozzi A, Harris JA. Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network. Neuron 2020; 109:545-559.e8. [PMID: 33290731 PMCID: PMC8150331 DOI: 10.1016/j.neuron.2020.11.011] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/08/2020] [Accepted: 11/13/2020] [Indexed: 12/28/2022]
Abstract
The evolutionarily conserved default mode network (DMN) is a distributed set of brain regions coactivated during resting states that is vulnerable to brain disorders. How disease affects the DMN is unknown, but detailed anatomical descriptions could provide clues. Mice offer an opportunity to investigate structural connectivity of the DMN across spatial scales with cell-type resolution. We co-registered maps from functional magnetic resonance imaging and axonal tracing experiments into the 3D Allen mouse brain reference atlas. We find that the mouse DMN consists of preferentially interconnected cortical regions. As a population, DMN layer 2/3 (L2/3) neurons project almost exclusively to other DMN regions, whereas L5 neurons project in and out of the DMN. In the retrosplenial cortex, a core DMN region, we identify two L5 projection types differentiated by in- or out-DMN targets, laminar position, and gene expression. These results provide a multi-scale description of the anatomical correlates of the mouse DMN. Mouse resting-state default mode network anatomy described at high resolution in 3D Systematic axon tracing shows cortical DMN regions are preferentially interconnected Layer 2/3 DMN neurons project mostly in the DMN; layer 5 neurons project in and out Retrosplenial cortex contains distinct types of in- and out-DMN projection neurons
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Affiliation(s)
| | - Adam Liska
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ UniTn, 38068 Rovereto, Italy; DeepMind, London EC4A 3TW, UK
| | - Ludovico Coletta
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ UniTn, 38068 Rovereto, Italy; Center for Mind/Brain Sciences (CIMeC), University of Trento, 38068 Rovereto, Italy
| | | | - Phillip Bohn
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Ali Williford
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Nile Graddis
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Leonard Kuan
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Joseph E Knox
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Anh Ho
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Wayne Wakeman
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | | | - Emma Garren
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Olivia Fong
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Maitham Naeemi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Alex M Henry
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Boaz Levi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - David Feng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Stefan Mihalas
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Alessandro Gozzi
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ UniTn, 38068 Rovereto, Italy
| | - Julie A Harris
- Allen Institute for Brain Science, Seattle, WA 98109, USA.
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80
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Steven Waterstone T, Niazi IK, Navid MS, Amjad I, Shafique M, Holt K, Haavik H, Samani A. Functional Connectivity Analysis on Resting-State Electroencephalography Signals Following Chiropractic Spinal Manipulation in Stroke Patients. Brain Sci 2020; 10:E644. [PMID: 32957711 PMCID: PMC7564276 DOI: 10.3390/brainsci10090644] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/09/2020] [Accepted: 09/16/2020] [Indexed: 02/06/2023] Open
Abstract
Stroke impairments often present as cognitive and motor deficits, leading to a decline in quality of life. Recovery strategy and mechanisms, such as neuroplasticity, are important factors, as these can help improve the effectiveness of rehabilitation. The present study investigated chiropractic spinal manipulation (SM) and its effects on resting-state functional connectivity in 24 subacute to chronic stroke patients monitored by electroencephalography (EEG). Functional connectivity of both linear and non-linear coupling was estimated by coherence and phase lag index (PLI), respectively. Non-parametric cluster-based permutation tests were used to assess the statistical significance of the changes in functional connectivity following SM. Results showed a significant increase in functional connectivity from the PLI metric in the alpha band within the default mode network (DMN). The functional connectivity between the posterior cingulate cortex and parahippocampal regions increased following SM, t (23) = 10.45, p = 0.005. No significant changes occurred following the sham control procedure. These findings suggest that SM may alter functional connectivity in the brain of stroke patients and highlights the potential of EEG for monitoring neuroplastic changes following SM. Furthermore, the altered connectivity was observed between areas which may be affected by factors such as decreased pain perception, episodic memory, navigation, and space representation in the brain. However, these factors were not directly monitored in this study. Therefore, further research is needed to elucidate the underlying mechanisms and clinical significance of the observed changes.
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Affiliation(s)
| | - Imran Khan Niazi
- Department of Health Science and Technology, Aalborg University, 9000 Aalborg, Denmark
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
- Faculty of Health & Environmental Sciences, Health & Rehabilitation Research Institute, AUT University, Auckland 1010, New Zealand
| | - Muhammad Samran Navid
- Department of Health Science and Technology, Aalborg University, 9000 Aalborg, Denmark
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
| | - Imran Amjad
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
- Faculty of Rehabilitation and Allied Sciences & Faculty of Engineering and Applied Sciences, Riphah International University, Islamabad 44000, Pakistan
| | - Muhammad Shafique
- Faculty of Rehabilitation and Allied Sciences & Faculty of Engineering and Applied Sciences, Riphah International University, Islamabad 44000, Pakistan
| | - Kelly Holt
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
| | - Heidi Haavik
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
| | - Afshin Samani
- Department of Health Science and Technology, Aalborg University, 9000 Aalborg, Denmark
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81
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Singhal T, Cicero S, Pan H, Carter K, Dubey S, Chu R, Glanz B, Hurwitz S, Tauhid S, Park MA, Kijewski M, Stern E, Bakshi R, Silbersweig D, Weiner HL. Regional microglial activation in the substantia nigra is linked with fatigue in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/5/e854. [PMID: 32769103 PMCID: PMC7643614 DOI: 10.1212/nxi.0000000000000854] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/18/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The goal of our study is to assess the role of microglial activation in MS-associated fatigue (MSAF) using [F-18]PBR06-PET. METHODS Fatigue severity was measured using the Modified Fatigue Impact Scale (MFIS) in 12 subjects with MS (7 relapsing-remitting and 5 secondary progressive) and 10 healthy control participants who underwent [F-18]PBR06-PET. The MFIS provides a total fatigue score as well as physical, cognitive, and psychosocial fatigue subscale scores. Standardized Uptake Value (SUV) 60-90 minute frame PET maps were coregistered to 3T MRI. Voxel-by-voxel analysis using Statistical Parametric Mapping and atlas-based regional analyses were performed. SUV ratios (SUVRs) were global brain normalized. RESULTS Peak voxel-based level of significance for correlation between total fatigue score and PET uptake was localized to the right substantia nigra (T-score 4.67, p = 0.001). Similarly, SUVRs derived from atlas-based segmentation of the substantia nigra showed significant correlation with MFIS (r = 0.76, p = 0.004). On multiple regression, the right substantia nigra was an independent predictor of total MFIS (p = 0.02) and cognitive MFIS subscale values (p = 0.007), after adjustment for age, disability, and depression. Several additional areas of significant correlations with fatigue scores were identified, including the right parahippocampal gyrus, right precuneus, and juxtacortical white matter (all p < 0.05). There was no correlation between fatigue scores and brain atrophy and lesion load in patients with MS. CONCLUSION Substantia nigra microglial activation is linked to fatigue in MS. Microglial activation across key brain regions may represent a unifying mechanism for MSAF, and further evaluation of neuroimmunologic basis of MSAF is warranted.
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Affiliation(s)
- Tarun Singhal
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
| | - Steven Cicero
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Hong Pan
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kelsey Carter
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Shipra Dubey
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Renxin Chu
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Bonnie Glanz
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Shelley Hurwitz
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Shahamat Tauhid
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mi-Ae Park
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Marie Kijewski
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Emily Stern
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Rohit Bakshi
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - David Silbersweig
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Howard L Weiner
- From the Partners MS Center (T.S., S.C., K.C., B.G., R.B., H.L.W.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; PET Imaging Program in Neurologic Diseases (T.S., S.C., K.C.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Functional Neuroimaging Laboratory (H.P., R.B., D.S.), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of Nuclear Medicine and Molecular Imaging (S.D., M.-A.P., M.K.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Laboratory for Neuroimaging Research (R.C., S.T.), Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Medicine (S.H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Ceretype Neuromedicine (E.S.)Department of Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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82
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T-distribution stochastic neighbor embedding for fine brain functional parcellation on rs-fMRI. Brain Res Bull 2020; 162:199-207. [DOI: 10.1016/j.brainresbull.2020.06.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 04/14/2020] [Accepted: 06/10/2020] [Indexed: 11/22/2022]
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83
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Zuo X, Zhuang J, Chen NK, Cousins S, Cunha P, Lad EM, Madden DJ, Potter G, Whitson HE. Relationship between neural functional connectivity and memory performance in age-related macular degeneration. Neurobiol Aging 2020; 95:176-185. [PMID: 32829250 DOI: 10.1016/j.neurobiolaging.2020.07.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Revised: 07/21/2020] [Accepted: 07/22/2020] [Indexed: 10/23/2022]
Abstract
Age-related macular degeneration (AMD) has been linked to memory deficits, with no established neural mechanisms. We collected resting-state brain functional magnetic resonance imaging and standardized verbal recall tests from 42 older adults with AMD and 41 age-matched controls. We used seed-based whole brain analysis to quantify the strength of functional connectivity between hubs of the default mode network and a network of medial temporal regions relevant for memory. Our results indicated neither memory performance nor network connectivity differed by AMD status. However, the AMD participants exhibited stronger relationships than the controls between memory performance and connectivity from the memory network hub (left parahippocampal) to 2 other regions: the left temporal pole and the right superior/middle frontal gyri. Also, the connectivity between the medial prefrontal cortex and posterior cingulate cortex of default mode network correlated more strongly with memory performance in AMD compared to control. We concluded that stronger brain-behavior correlation in AMD may suggest a role for region-specific connectivity in supporting memory in the context of AMD.
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Affiliation(s)
- Xintong Zuo
- Department of Internal Medicine, University of Hawaii, Honolulu, HI, USA; Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Jie Zhuang
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Nan-Kuei Chen
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Scott Cousins
- Department of Ophthalmology, Duke University Medical Center, Durham, NC, USA
| | - Priscila Cunha
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA; Duke University School of Medicine, Durham, NC, USA
| | - Eleonora M Lad
- Department of Ophthalmology, Duke University Medical Center, Durham, NC, USA
| | - David J Madden
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Guy Potter
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Heather E Whitson
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA; Department of Ophthalmology, Duke University Medical Center, Durham, NC, USA; Department of Medicine (Geriatrics), Duke University Medical Center, Durham, NC, USA; Geriatrics Research Education & Clinical Center, Durham VA Medical Center, Durham, NC, USA.
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84
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Soni S, Muthukrishnan SP, Sood M, Kaur S, Sharma R. Altered parahippocampal gyrus activation and its connectivity with resting-state network areas in schizophrenia: An EEG study. Schizophr Res 2020; 222:411-422. [PMID: 32534839 DOI: 10.1016/j.schres.2020.03.066] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 02/21/2020] [Accepted: 03/29/2020] [Indexed: 02/02/2023]
Abstract
Synchronized and coherent activity in resting-networks during normal brain functioning could be altered in disconnection syndrome like schizophrenia. Study of neural oscillations as assessed by EEG appears to be a promising proposition to understand the pathophysiology of schizophrenia in patients and their first-degree relatives, where disturbances in neural oscillations point towards genetic predisposition. Therefore, present study aims at establishing EEG based biomarkers for early detection and management strategies. Thirty-two patients with schizophrenia, 28 first-degree relatives and 31 healthy controls (HC) participated in the study. Resting brain activity was recorded using 128-channel electroencephalography. After pre-processing and independent component analysis (ICA), an equivalent current dipole was estimated for each IC. Total of 1551 independent and localizable EEG components across all groups were used in subsequent analysis. Power spectral density and source coherence between IC clusters were computed. Patients and first-degree relatives displayed significantly higher power spectral density (PSD) than HC for all frequency bands in left parahippocampal gyrus (PHG) (-7, -26, 8; BA 27). Another region within left deep PHG (-4, -28, 1), however, distinguished patients from first-degree relatives and HC in terms of significantly lower PSD in higher frequency bands. Functional connectivity (FC) was found to be lower in patients and higher in relatives compared to HC between different resting-state network areas. In patients, connectivity was lower compared to first-degree relatives. Altered activity within left PHG and FC of primarily this with other areas in resting-state network can serve as state and trait markers of schizophrenia.
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Affiliation(s)
- Sunaina Soni
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India
| | - Suriya Prakash Muthukrishnan
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India
| | - Mamta Sood
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Simran Kaur
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India
| | - Ratna Sharma
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
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85
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Vascular Inflammation Is a Risk Factor Associated with Brain Atrophy and Disease Severity in Parkinson's Disease: A Case-Control Study. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2020; 2020:2591248. [PMID: 32733633 PMCID: PMC7376437 DOI: 10.1155/2020/2591248] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/04/2020] [Accepted: 06/01/2020] [Indexed: 12/14/2022]
Abstract
Introduction Systemic inflammation with elevated oxidative stress causing neuroinflammation is considered a major factor in the pathogenesis of Parkinson's disease (PD). The interface between systemic circulation and the brain parenchyma is the blood-brain barrier (BBB), which also plays a role in maintaining neurovascular homeostasis. Vascular cell adhesion molecule-1 (VCAM-1) and microRNAs (miRNAs) regulate brain vessel endothelial function, neoangiogenesis, and, in turn, neuronal homeostasis regulation, such that their dysregulation can result in neurodegeneration, such as gray matter atrophy, in PD. Objective Our aim was to evaluate the associations among specific levels of gray matter atrophy, peripheral vascular adhesion molecules, miRNAs, and clinical disease severity in order to achieve a clearer understanding of PD pathogenesis. Methods Blood samples were collected from 33 patients with PD and 27 healthy volunteers, and the levels of VCAM-1 and several miRNAs in those samples were measured. Voxel-based morphometry (VBM) analysis was performed using 3 T magnetic resonance imaging (MRI) and SPM (Statistical Parametric Mapping software program). The associations among the vascular parameter, miRNAs, gray matter volume, and clinical disease severity measurements were evaluated by partial correlation analysis. Results The levels of VCAM-1, miRNA-22, and miRNA-29a expression were significantly elevated in the PD patients. The gray matter volume atrophy in the left parahippocampus, bilateral posterior cingulate gyrus, fusiform gyrus, left temporal gyrus, and cerebellum was significantly correlated with increased clinical disease severity, the upregulation of miRNA levels, and increased vascular inflammation. Conclusion Patients with PD seem to have abnormal levels of vascular inflammatory markers and miRNAs in the peripheral circulation, and these levels are correlated with specific brain volume changes. This study reinforces the associations among peripheral inflammation, the BBB interface, and gray matter atrophy in PD and further demonstrates that BBB dysfunction with neurovascular impairment may play an important role in PD progression.
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86
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Characterizing the gradients of structural covariance in the human hippocampus. Neuroimage 2020; 218:116972. [PMID: 32454206 DOI: 10.1016/j.neuroimage.2020.116972] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 04/29/2020] [Accepted: 05/17/2020] [Indexed: 11/23/2022] Open
Abstract
The hippocampus is a plastic brain structure that has been associated with a range of behavioral aspects but also shows vulnerability to the most frequent neurocognitive diseases. Different aspects of its organization have been revealed by studies probing its different neurobiological properties. In particular, histological work has shown a pattern of differentiation along the proximal-distal dimension, while studies examining functional properties and large-scale functional integration have primarily highlighted a pattern of differentiation along the anterior-posterior dimension. To better understand how these organizational dimensions underlie the pattern of structural covariance (SC) in the human hippocampus, we here applied a non-linear decomposition approach, disentangling the major modes of variation, to the pattern of gray matter volume correlation of hippocampus voxels with the rest of the brain in a sample of 377 healthy young adults. We additionally investigated the consistency of the derived gradients in an independent sample of life-span adults and also examined the relationships between these major modes of variations and the patterns derived from microstructure and functional connectivity mapping. Our results showed that similar major modes of SC-variability are identified across the two independent datasets. The major dimension of variation found in SC runs along the hippocampal anterior-posterior axis and followed closely the principal dimension of functional differentiation, suggesting an influence of network level interaction in this major mode of morphological variability. The second main mode of variability in the SC showed a gradient along the dorsal-ventral axis, and was moderately related to variability in hippocampal microstructural properties. Thus our results depicting relatively reliable patterns of SC-variability within the hippocampus show an interplay between the already known organizational principles on the pattern of variability in hippocampus' macrostructural properties. This study hence provides a first insight on the underlying organizational forces generating different co-plastic modes within the human hippocampus that may, in turn, help to better understand different vulnerability patterns of this crucial structure in different neurological and psychiatric diseases.
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87
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Choi K, Bagen L, Robinson L, Umbach G, Rugg M, Lega B. Longitudinal Differences in Human Hippocampal Connectivity During Episodic Memory Processing. Cereb Cortex Commun 2020; 1:tgaa010. [PMID: 32864613 PMCID: PMC7446229 DOI: 10.1093/texcom/tgaa010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 02/20/2020] [Accepted: 04/01/2020] [Indexed: 01/01/2023] Open
Abstract
The question of longitudinal hippocampal functional specialization is critical to human episodic memory because an accurate understanding of this phenomenon would impact theories of mnemonic function and entail practical consequences for the clinical management of patients undergoing temporal lobe surgery. The implementation of the robotically assisted stereo electroencephalography technique for seizure mapping has provided our group with the opportunity to obtain recordings simultaneously from the anterior and posterior human hippocampus, allowing us to create an unparalleled data set of human subjects with simultaneous anterior and posterior hippocampal recordings along with several cortical regions. Using these data, we address several key questions governing functional hippocampal connectivity in human memory. First, we ask whether functional networks during episodic memory encoding and retrieval are significantly different for the anterior versus posterior hippocampus (PH). We also examine how connections differ across the 2-5 Hz versus 4-9 Hz theta frequency ranges, directly addressing the relative contribution of each of these separate bands in hippocampal-cortical interactions. While we report some overlapping connections, we observe evidence of distinct anterior versus posterior hippocampal networks during memory encoding related to frontal and parietal connectivity as well as hemispheric differences in aggregate connectivity. We frame these findings in light of the proposed AT/PM memory systems. We also observe distinct encoding versus retrieval connectivity patterns between anterior and posterior hippocampal networks, we find that overall connectivity is greater for the PH in the right hemisphere, and further that these networks significantly differ in terms of frontal and parietal connectivity. We place these findings in the context of existing theoretical treatments of human memory systems, especially the proposed AT/PM system. During memory retrieval, we observe significant differences between slow-theta (2-5 Hz) and fast-theta (4-9 Hz) connectivity between the cortex and hippocampus. Finally, we test how these distinct theta frequency oscillations propagate within the hippocampus, using phase slope index to estimate the direction slow-theta and fast-theta oscillations travel during encoding and retrieval. We uncover evidence that 2-5 Hz oscillations travel in the posterior-to-anterior direction, while 5-9 Hz oscillations travel from anterior-to-posterior. Taken together, our findings describe mnemonically relevant functional connectivity differences along the longitudinal axis of the human hippocampus that will inform interpretation of models of hippocampal function that seek to integrate rodent and human data.
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Affiliation(s)
- Kyuwan Choi
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX 75390, USA
| | - Lisa Bagen
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX 75390, USA
| | - Linley Robinson
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX 75390, USA
| | - Gray Umbach
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX 75390, USA
| | - Michael Rugg
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX 75235, USA
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75080, USA
- Department of Psychiatry, University of Texas Southwestern, Dallas, TX 75390, USA
| | - Bradley Lega
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX 75390, USA
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88
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Berron D, van Westen D, Ossenkoppele R, Strandberg O, Hansson O. Medial temporal lobe connectivity and its associations with cognition in early Alzheimer's disease. Brain 2020; 143:1233-1248. [PMID: 32252068 PMCID: PMC7174043 DOI: 10.1093/brain/awaa068] [Citation(s) in RCA: 149] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 01/15/2020] [Accepted: 01/26/2020] [Indexed: 12/12/2022] Open
Abstract
Human episodic memory critically depends on subregions of the medial temporal lobe, which are part of functional brain systems such as the anterior-temporal and the posterior-medial system. Here we analysed how Alzheimer's pathology affects functional connectivity within these systems. Data from 256 amyloid-β-negative cognitively unimpaired, 103 amyloid-β-positive cognitively unimpaired, and 83 amyloid-β-positive individuals with mild cognitive impairment were analysed. Amyloid-β and tau pathology were measured using the CSF amyloid-β42/40 ratio and phosphorylated tau, respectively. We found that amyloid-β-positive cognitively unimpaired individuals were mainly characterized by decreased functional connectivity between the medial temporal lobe and regions in the anterior-temporal system, most prominently between left perirhinal/entorhinal cortices and medial prefrontal cortex. Furthermore, correlation analysis in this group revealed decreasing functional connectivity between bilateral perirhinal/entorhinal cortices, anterior hippocampus and posterior-medial regions with increasing levels of phosphorylated tau. The amyloid-β-positive individuals with mild cognitive impairment mostly exhibited reduced connectivity between the medial temporal lobe and posterior-medial regions, predominantly between the anterior hippocampus and posterior cingulate cortex. In addition, they showed hyperconnectivity within the medial temporal lobe and its immediate proximity. Lower medial temporal-cortical functional connectivity networks resulting from the group comparisons of cognitively unimpaired individuals were associated with reduced memory performance and more rapid longitudinal memory decline as shown by linear mixed-effects regression analysis. Finally, we found that reduced medial temporal-cortical connectivity in mildly cognitively impaired individuals was related to reduced entorhinal thickness and white matter integrity of the parahippocampal cingulum and the fornix. No such relationships were found in cognitively unimpaired individuals. In conclusion, our findings show that the earliest changes in preclinical Alzheimer's disease might involve decreased connectivity within the anterior-temporal system, and early changes in connectivity might be related to memory impairment, but not to structural changes. With disease progression and increased tau pathology, medial temporal functional connectivity with posterior-medial regions seems to be increasingly impaired. In individuals with mild cognitive impairment, reduced functional connectivity is associated with structural brain changes as well as the emergence of locally increased connectivity patterns. Thus, functional connectivity between the medial temporal lobe and the anterior-temporal and posterior-medial system could serve as stage-specific functional markers in early Alzheimer's disease.
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Affiliation(s)
- David Berron
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Lund University, Lund, Sweden
- Image and Function, Skane University Hospital, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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89
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Müller N, Dresler M, Janzen G, Beckmann C, Fernández G, Kohn N. Medial prefrontal decoupling from the default mode network benefits memory. Neuroimage 2020; 210:116543. [DOI: 10.1016/j.neuroimage.2020.116543] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 01/07/2020] [Accepted: 01/10/2020] [Indexed: 01/14/2023] Open
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90
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Thome J, Terpou BA, McKinnon MC, Lanius RA. The neural correlates of trauma-related autobiographical memory in posttraumatic stress disorder: A meta-analysis. Depress Anxiety 2020; 37:321-345. [PMID: 31815346 DOI: 10.1002/da.22977] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 10/02/2019] [Accepted: 11/06/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Autobiographical memory (AM) refers to memories of events that are personally relevant and are remembered from one's own past. The AM network is a distributed brain network comprised largely by prefrontal medial and posteromedial cortical brain regions, which together facilitate AM. Autobiographical memories with high arousal and negatively valenced emotional states are thought to be retrieved more readily and re-experienced more vividly. This is critical in the case of trauma-related AMs, which are related to altered phenomenological experiences as well as aberrations to the underlying neural systems in posttraumatic stress disorder (PTSD). Critically, these alterations to the AM network have not been explored recently and have never been analyzed with consideration to the different processes of AM, them being retrieval and re-experiencing. METHODS We conducted a series of effect-size signed differential mapping meta-analyses across twenty-eight studies investigating the neural correlates of trauma-related AMs in participants with PTSD as compared with controls. Studies included either trauma-related scripts or trauma-related materials (i.e., sounds, images, pictures) implemented to evoke the recollection of a trauma-related memory. RESULTS The meta-analyses revealed that control and PTSD participants displayed greater common brain activation of prefrontal medial and posteromedial cortices, respectively. Whereby the prefrontal medial cortices are suggested to facilitate retrieval monitoring, the posteromedial cortices are thought to enable the visual imagery processes of AM. CONCLUSIONS Taken together, reduced common activation of prefrontal cortices may be interpreted as a bias toward greater re-experiencing, where the more salient elements of the traumatic memory are relived as opposed to retrieved in a controlled manner in PTSD.
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Affiliation(s)
- Janine Thome
- Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Theoretical Neuroscience, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Braeden A Terpou
- Department of Neuroscience, Western University, London, Ontario, Canada
| | - Margaret C McKinnon
- Mood Disorders Program, St. Joseph's Healthcare, Hamilton, Ontario, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.,Homewood Research Institute, Guelph, Ontario, Canada
| | - Ruth A Lanius
- Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Neuroscience, Western University, London, Ontario, Canada
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91
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Kamarajan C, Ardekani BA, Pandey AK, Chorlian DB, Kinreich S, Pandey G, Meyers JL, Zhang J, Kuang W, Stimus AT, Porjesz B. Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. Behav Sci (Basel) 2020; 10:bs10030062. [PMID: 32121585 PMCID: PMC7139327 DOI: 10.3390/bs10030062] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 12/16/2022] Open
Abstract
: Individuals with alcohol use disorder (AUD) manifest a variety of impairments that can be attributed to alterations in specific brain networks. The current study aims to identify features of EEG-based functional connectivity, neuropsychological performance, and impulsivity that can classify individuals with AUD (N = 30) from unaffected controls (CTL, N = 30) using random forest classification. The features included were: (i) EEG source functional connectivity (FC) of the default mode network (DMN) derived using eLORETA algorithm, (ii) neuropsychological scores from the Tower of London test (TOLT) and the visual span test (VST), and (iii) impulsivity factors from the Barratt impulsiveness scale (BIS). The random forest model achieved a classification accuracy of 80% and identified 29 FC connections (among 66 connections per frequency band), 3 neuropsychological variables from VST (total number of correctly performed trials in forward and backward sequences and average time for correct trials in forward sequence) and all four impulsivity scores (motor, non-planning, attentional, and total) as significantly contributing to classifying individuals as either AUD or CTL. Although there was a significant age difference between the groups, most of the top variables that contributed to the classification were not significantly correlated with age. The AUD group showed a predominant pattern of hyperconnectivity among 25 of 29 significant connections, indicating aberrant network functioning during resting state suggestive of neural hyperexcitability and impulsivity. Further, parahippocampal hyperconnectivity with other DMN regions was identified as a major hub region dysregulated in AUD (13 connections overall), possibly due to neural damage from chronic drinking, which may give rise to cognitive impairments, including memory deficits and blackouts. Furthermore, hypoconnectivity observed in four connections (prefrontal nodes connecting posterior right-hemispheric regions) may indicate a weaker or fractured prefrontal connectivity with other regions, which may be related to impaired higher cognitive functions. The AUD group also showed poorer memory performance on the VST task and increased impulsivity in all factors compared to controls. Features from all three domains had significant associations with one another. These results indicate that dysregulated neural connectivity across the DMN regions, especially relating to hyperconnected parahippocampal hub as well as hypoconnected prefrontal hub, may potentially represent neurophysiological biomarkers of AUD, while poor visual memory performance and heightened impulsivity may serve as cognitive-behavioral indices of AUD.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
- Correspondence: ; Tel.: +1-718-270-2913
| | - Babak A. Ardekani
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;
- Department of Psychiatry, NYU School of Medicine, New York, NY 10016, USA
| | - Ashwini K. Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - David B. Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Arthur T. Stimus
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
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92
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Lai W, Li X, Zhu H, Zhu X, Tan H, Feng P, Chen L, Luo C. Plasma luteinizing hormone level affects the brain activity of patients with polycystic ovary syndrome. Psychoneuroendocrinology 2020; 112:104535. [PMID: 31841986 DOI: 10.1016/j.psyneuen.2019.104535] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 11/26/2019] [Accepted: 11/26/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Cognitive function has been reported to be impaired in women with polycystic ovary syndrome (PCOS). This study aimed to investigate the effect of PCOS on brain activity and explore the relationship between brain activity and sex hormone levels in women with PCOS (WPCOS). METHODS Twenty-one women aged 18-45 years old with new-diagnosed PCOS were enrolled. Plasma levels of six sex hormones including luteinizing hormone (LH) and follicle-stimulating hormone (FSH) were tested during the 2-5 days of their menstrual periods. Twenty-seven healthy controls (HC) were recruited. Every subject underwent a resting-state functional magnetic resonance imaging (fMRI). The amplitude of low-frequency fluctuation (ALFF) of the whole brain was evaluated followed by the functional connectivity (FC) analysis. Finally, the correlation between the ALFF, FC of the significant areas and the plasma hormone levels were analyzed. RESULTS The patients showed increased ALFF value in the left inferior temporal gyrus (ITG.L) and decreased ALFF value in the left inferior occipital gyrus (IOG.L) as well as the superior frontal gyrus (SFG.R, P < 0.005). For the FC analysis, patients showed decreased FC in SFG.R with the right middle frontal gyrus (MFG.R, P < 0.05). The FC between SFG.R and MFG.R was negatively correlated with LH level (R=-0.594, P = 0.005) and with the LH/FSH ratio (R=-0.521, P = 0.015). CONCLUSION PCOS can induce changes in activities of brain regions responsible for visuospatial working memory, face processing and episodic memory. The reduced functional connectivity within the right frontal lobe is related with the high LH level in WPCOS.
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Affiliation(s)
- Wanlin Lai
- Department of Neurology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, PR China
| | - Xuan Li
- MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China
| | - Huili Zhu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, No. 20, Section 3, Renmin South Road, Chengdu, Sichuan 610041, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, No. 20, Section 3, Renmin South Road, Chengdu, Sichuan 610041, PR China
| | - Xi Zhu
- Department of Neurology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, PR China
| | - Huiwen Tan
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, PR China
| | - Peimin Feng
- Department of Gastroenterology, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, PR China
| | - Lei Chen
- Department of Neurology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, PR China.
| | - Cheng Luo
- MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.
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93
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Wu J, Hameed NF. Functional remodeling of brain language networks. GLIOMA 2020. [DOI: 10.4103/glioma.glioma_12_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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94
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Baker CM, Burks JD, Briggs RG, Stafford J, Conner AK, Glenn CA, Sali G, McCoy TM, Battiste JD, O'Donoghue DL, Sughrue ME. A Connectomic Atlas of the Human Cerebrum-Chapter 4: The Medial Frontal Lobe, Anterior Cingulate Gyrus, and Orbitofrontal Cortex. Oper Neurosurg (Hagerstown) 2019; 15:S122-S174. [PMID: 30260441 DOI: 10.1093/ons/opy257] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 09/18/2018] [Indexed: 11/15/2022] Open
Abstract
In this supplement, we build on work previously published under the Human Connectome Project. Specifically, we show a comprehensive anatomic atlas of the human cerebrum demonstrating all 180 distinct regions comprising the cerebral cortex. The location, functional connectivity, and structural connectivity of these regions are outlined, and where possible a discussion is included of the functional significance of these areas. In part 4, we specifically address regions relevant to the medial frontal lobe, anterior cingulate gyrus, and orbitofrontal cortex.
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Affiliation(s)
- Cordell M Baker
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Joshua D Burks
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Jordan Stafford
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Chad A Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Goksel Sali
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Tressie M McCoy
- Department of Physical Therapy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - James D Battiste
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Daniel L O'Donoghue
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Michael E Sughrue
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.,Department of Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia
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95
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Serra L, Petrosini L, Salaris A, Pica L, Bruschini M, Di Domenico C, Caltagirone C, Marra C, Bozzali M. Testing for the Myth of Cognitive Reserve: Are the Static and Dynamic Cognitive Reserve Indexes a Representation of Different Reserve Warehouses? J Alzheimers Dis 2019; 72:111-126. [DOI: 10.3233/jad-190716] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Laura Serra
- Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Rome, Italy
| | - Laura Petrosini
- Laboratory of Experimental and Behavioural Neurophysiology, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Andrea Salaris
- Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Rome, Italy
| | - Lorenzo Pica
- Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Rome, Italy
| | | | | | - Carlo Caltagirone
- Department of Clinical and Behavioural Neurology, Santa Lucia Foundation, IRCCS, Rome, Italy
| | - Camillo Marra
- Institute of Neurology, Catholic University, Rome, Italy
| | - Marco Bozzali
- Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Rome, Italy
- Brighton & Sussex Medical School, CISC, University of Sussex, Brighton, Falmer East Sussex, UK
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96
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Zhang X, Li H, Lv Y, Zhu Z, Shen X, Lu Q, Wang W, Wang Z, Jiang Z, Yang L, Lin G, Gu W. Premorbid Alterations of Spontaneous Brain Activity in Elderly Patients With Early Post-operative Cognitive Dysfunction: A Pilot Resting-State Functional MRI Study. Front Neurol 2019; 10:1062. [PMID: 31649609 PMCID: PMC6794447 DOI: 10.3389/fneur.2019.01062] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 09/20/2019] [Indexed: 12/02/2022] Open
Abstract
Background: Elderly patients with pre-existing cognitive impairment are susceptible to post-operative cognitive dysfunction (POCD). In this study, we investigated whether there is pre-existing local homogeneity and functional connectivity alteration in the brain before surgery for POCD patients as compared to that in non-POCD patients. Methods: Eighty elderly patients undergoing major thoracic or abdominal surgeries were recruited. Resting-state functional MRI was scanned at least 1 day before surgery. Neuropsychological tests (NPTs) were performed before surgery and at discharge, respectively. Pre-operative regional homogeneity (ReHo) and resting-state functional connectivity (RSFC) were compared between POCD patients and non-POCD patients, respectively. Partial correlation between NPTs and ReHo or RSFC was analyzed by adjusting for confounding factors. Results: Significant difference (P < 0.001, Gaussian Random Field (GRF) correction which is a multiple comparisons correction method at cluster level, cluster size > 49) in ReHo between POCD patients and non-POCD patients was detected in right hippocampus/parahippocampus. Pre-operative RSFC between right hippocampus/parahippocampus and right middle/inferior temporal gyrus increased in POCD patients (P < 0.001, GRF correction for multiple comparisons) when compared with that in non-POCD patients.RSFC significantly correlated with composite Z-score (r = 0.46, 95% CI [0.234, 0.767], P = 0.002) or Digit Symbol Substitution Test Z-scores (r = 0.31, 95% CI [0.068, 0.643], P = 0.046) after adjusting for confounding factors. Conclusions: The results suggest that premorbid alterations of spontaneous brain activity might exist in elderly patients who develop early POCD. The neural mechanism by which patients with pre-operative abnormal spontaneous activity are susceptible to POCD requires further study.
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Affiliation(s)
- Xixue Zhang
- Department of Anesthesiology, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine, Shanghai, China
| | - Hui Li
- Department of Anesthesiology, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine, Shanghai, China
| | - Yating Lv
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Zhenghong Zhu
- Department of Thoracic Surgery, Huadong Hospital, Fudan University, Shanghai, China
| | - Xiaoyong Shen
- Department of Thoracic Surgery, Huadong Hospital, Fudan University, Shanghai, China
| | - Qi Lu
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai, China
| | - Wei Wang
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai, China
| | - Zhaoxin Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics, Ministry of Education, Shanghai, China.,Institute of Cognitive Neuroscience, East China Normal University, Shanghai, China
| | - Zhaoshun Jiang
- Department of Anesthesiology, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine, Shanghai, China
| | - Lvjun Yang
- Department of Anesthesiology, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine, Shanghai, China
| | - Guangwu Lin
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
| | - Weidong Gu
- Department of Anesthesiology, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine, Shanghai, China
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97
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Schultz AP, Buckley RF, Hampton OL, Scott MR, Properzi MJ, Peña-Gómez C, Pruzin JJ, Yang HS, Johnson KA, Sperling RA, Chhatwal JP. Longitudinal degradation of the default/salience network axis in symptomatic individuals with elevated amyloid burden. Neuroimage Clin 2019; 26:102052. [PMID: 31711955 PMCID: PMC7229343 DOI: 10.1016/j.nicl.2019.102052] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 08/09/2019] [Accepted: 10/21/2019] [Indexed: 12/21/2022]
Abstract
Resting-state functional connectivity MRI (rs-fcMRI) is a non-invasive imaging technique that has come into increasing use to understand disrupted neural network function in neuropsychiatric disease. However, despite extensive study over the past 15 years, the development of rs-fcMRI as a biomarker has been impeded by a lack of reliable longitudinal rs-fcMRI measures. Here we focus on longitudinal change along the Alzheimer's disease (AD) trajectory and demonstrate the utility of Template Based Rotation (TBR) in detecting differential longitudinal rs-fcMRI change between higher and lower amyloid burden individuals with mildly impaired cognition. Specifically, we examine a small (N = 24), but densely sampled (~5 observations over ~3 years), cohort of symptomatic individuals with serial rs-fcMRI imaging and PiB-PET imaging for β-amyloid pathology. We observed longitudinal decline of the Default Mode and Salience network axis (DMN/SAL) among impaired individuals with high amyloid burden. No other networks showed differential change in high vs. low amyloid individuals over time. The standardized effect size of AD related DMN/SAL change is comparable to the standardized effect size of amyloid-related change on the mini-mental state exam (MMSE) and hippocampal volume (HV). Last, we show that the AD-related change in DMN/SAL connectivity is almost completely independent of change on MMSE or HV, suggesting that rs-fcMRI is sensitive to an aspect of AD progression that is not captured by these other measures. Together these analyses demonstrate that longitudinal rs-fcMRI using TBR can capture disease-relevant network disruption in a clinical population.
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Affiliation(s)
- Aaron P Schultz
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Rachel F Buckley
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Olivia L Hampton
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Matthew R Scott
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Michael J Properzi
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Cleofé Peña-Gómez
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, United States
| | - Jeremy J Pruzin
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Hyun-Sik Yang
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Keith A Johnson
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, United States
| | - Reisa A Sperling
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Jasmeer P Chhatwal
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
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98
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Daikoku T. Computational models and neural bases of statistical learning in music and language: Comment on "Creativity, information, and consciousness: The information dynamics of thinking" by Wiggins. Phys Life Rev 2019; 34-35:48-51. [PMID: 31495681 DOI: 10.1016/j.plrev.2019.09.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 09/02/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Tatsuya Daikoku
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Germany.
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99
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Comparison between a pure functional connectivity and a mixed functional-topological model in functional connectivity. An application on parahippocampal gyrus-anterior division data. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.101570] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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100
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Buss SS, Padmanabhan J, Saxena S, Pascual-Leone A, Fried PJ. Atrophy in Distributed Networks Predicts Cognition in Alzheimer's Disease and Type 2 Diabetes. J Alzheimers Dis 2019; 65:1301-1312. [PMID: 30149455 DOI: 10.3233/jad-180570] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) and type 2 diabetes (T2DM) are common causes of cognitive decline among older adults and share strong epidemiological links. Distinct patterns of cortical atrophy are observed in AD and T2DM, but robust comparisons between structure-function relationships across these two disease states are lacking. OBJECTIVE To compare how atrophy within distributed brain networks is related to cognition across the spectrum of cognitive aging. METHODS The relationship between structural MRI changes and cognition was studied in 22 mild-to-moderate AD, 28 T2DM, and 27 healthy participants. Cortical thickness measurements were obtained from networks of interest (NOIs) matching the limbic, default, and frontoparietal resting-state networks. Composite cognitive scores capturing domains of global cognition, memory, and executive function were created. Associations between cognitive scores and the NOIs were assessed using linear regression, with age as a covariate. Within-network General Linear Model (GLM) analysis was run in Freesurfer 6.0 to visualize differences in patterns of cortical atrophy related to cognitive function in each group. A secondary analysis examined hemispheric differences in each group. RESULTS Across all groups, cortical atrophy within the limbic NOI was significantly correlated with Global Cognition (p = 0.009) and Memory Composite (p = 0.002). Within-network GLM analysis and hemispheric analysis revealed qualitatively different patterns of atrophy contributing to cognitive dysfunction between AD and T2DM. CONCLUSION Brain network atrophy is related to cognitive function across AD, T2DM, and healthy participants. Differences in cortical atrophy patterns were seen between AD and T2DM, highlighting neuropathological differences.
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Affiliation(s)
- Stephanie S Buss
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jaya Padmanabhan
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sadhvi Saxena
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alvaro Pascual-Leone
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Institut Guttman, Universitat Autonoma de Barcelona, Badalona, Barcelona, Spain
| | - Peter J Fried
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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