1
|
Yang X, Zeng Y, Jiao G, Gan X, Linden D, Hernaus D, Zhu C, Li K, Yao D, Yao S, Jiang Y, Becker B. A brief real-time fNIRS-informed neurofeedback training of the prefrontal cortex changes brain activity and connectivity during subsequent working memory challenge. Prog Neuropsychopharmacol Biol Psychiatry 2024; 132:110968. [PMID: 38354898 DOI: 10.1016/j.pnpbp.2024.110968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 11/06/2023] [Accepted: 02/11/2024] [Indexed: 02/16/2024]
Abstract
Working memory (WM) represents a building-block of higher cognitive functions and a wide range of mental disorders are associated with WM impairments. Initial studies have shown that several sessions of functional near-infrared spectroscopy (fNIRS) informed real-time neurofeedback (NF) allow healthy individuals to volitionally increase activity in the dorsolateral prefrontal cortex (DLPFC), a region critically involved in WM. For the translation to therapeutic or neuroenhancement applications, however, it is critical to assess whether fNIRS-NF success transfers into neural and behavioral WM enhancement in the absence of feedback. We therefore combined single-session fNIRS-NF of the left DLPFC with a randomized sham-controlled design (N = 62 participants) and a subsequent WM challenge with concomitant functional MRI. Over four runs of fNIRS-NF, the left DLPFC NF training group demonstrated enhanced neural activity in this region, reflecting successful acquisition of neural self-regulation. During the subsequent WM challenge, we observed no evidence for performance differences between the training and the sham group. Importantly, however, examination of the fMRI data revealed that - compared to the sham group - the training group exhibited significantly increased regional activity in the bilateral DLPFC and decreased left DLPFC - left anterior insula functional connectivity during the WM challenge. Exploratory analyses revealed a negative association between DLPFC activity and WM reaction times in the NF group. Together, these findings indicate that healthy individuals can learn to volitionally increase left DLPFC activity in a single training session and that the training success translates into WM-related neural activation and connectivity changes in the absence of feedback. This renders fNIRS-NF as a promising and scalable WM intervention approach that could be applied to various mental disorders.
Collapse
Affiliation(s)
- Xi Yang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Yixu Zeng
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Guojuan Jiao
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xianyang Gan
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - David Linden
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Dennis Hernaus
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Keshuang Li
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Dezhong Yao
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuxia Yao
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yihan Jiang
- Center for the Cognitive Science of Language, Beijing Language and Culture University, Beijing, China.
| | - Benjamin Becker
- The University of Hong Kong, State Key Laboratory of Brain and Cognitive Sciences, Hong Kong, China; The University of Hong Kong, Department of Psychology, Hong Kong, China.
| |
Collapse
|
2
|
Zotev V, McQuaid JR, Robertson-Benta CR, Hittson AK, Wick TV, Ling JM, van der Horn HJ, Mayer AR. Validation of real-time fMRI neurofeedback procedure for cognitive training using counterbalanced active-sham study design. Neuroimage 2024; 290:120575. [PMID: 38479461 PMCID: PMC11060147 DOI: 10.1016/j.neuroimage.2024.120575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024] Open
Abstract
Investigation of neural mechanisms of real-time functional MRI neurofeedback (rtfMRI-nf) training requires an efficient study control approach. A common rtfMRI-nf study design involves an experimental group, receiving active rtfMRI-nf, and a control group, provided with sham rtfMRI-nf. We report the first study in which rtfMRI-nf procedure is controlled through counterbalancing training runs with active and sham rtfMRI-nf for each participant. Healthy volunteers (n = 18) used rtfMRI-nf to upregulate fMRI activity of an individually defined target region in the left dorsolateral prefrontal cortex (DLPFC) while performing tasks that involved mental generation of a random numerical sequence and serial summation of numbers in the sequence. Sham rtfMRI-nf was provided based on fMRI activity of a different brain region, not involved in these tasks. The experimental procedure included two training runs with the active rtfMRI-nf and two runs with the sham rtfMRI-nf, in a randomized order. The participants achieved significantly higher fMRI activation of the left DLPFC target region during the active rtfMRI-nf conditions compared to the sham rtfMRI-nf conditions. fMRI functional connectivity of the left DLPFC target region with the nodes of the central executive network was significantly enhanced during the active rtfMRI-nf conditions relative to the sham conditions. fMRI connectivity of the target region with the nodes of the default mode network was similarly enhanced. fMRI connectivity changes between the active and sham conditions exhibited meaningful associations with individual performance measures on the Working Memory Multimodal Attention Task, the Approach-Avoidance Task, and the Trail Making Test. Our results demonstrate that the counterbalanced active-sham study design can be efficiently used to investigate mechanisms of active rtfMRI-nf in direct comparison to those of sham rtfMRI-nf. Further studies with larger group sizes are needed to confirm the reported findings and evaluate clinical utility of this study control approach.
Collapse
Affiliation(s)
- Vadim Zotev
- The Mind Research Network/LBRI, Albuquerque, NM, USA.
| | | | | | - Anne K Hittson
- The Mind Research Network/LBRI, Albuquerque, NM, USA; Department of Pediatrics, University of New Mexico, Albuquerque, NM, USA
| | - Tracey V Wick
- The Mind Research Network/LBRI, Albuquerque, NM, USA
| | - Josef M Ling
- The Mind Research Network/LBRI, Albuquerque, NM, USA
| | | | - Andrew R Mayer
- The Mind Research Network/LBRI, Albuquerque, NM, USA; Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA; Department of Neurology, University of New Mexico, Albuquerque, NM, USA
| |
Collapse
|
3
|
Pereira DJ, Morais S, Sayal A, Pereira J, Meneses S, Areias G, Direito B, Macedo A, Castelo-Branco M. Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes. J Neurodev Disord 2024; 16:14. [PMID: 38605323 PMCID: PMC11008042 DOI: 10.1186/s11689-024-09531-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 03/28/2024] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND Deficits in executive function (EF) are consistently reported in autism spectrum disorders (ASD). Tailored cognitive training tools, such as neurofeedback, focused on executive function enhancement might have a significant impact on the daily life functioning of individuals with ASD. We report the first real-time fMRI neurofeedback (rt-fMRI NF) study targeting the left dorsolateral prefrontal cortex (DLPFC) in ASD. METHODS Thirteen individuals with autism without intellectual disability and seventeen neurotypical individuals completed a rt-fMRI working memory NF paradigm, consisting of subvocal backward recitation of self-generated numeric sequences. We performed a region-of-interest analysis of the DLPFC, whole-brain comparisons between groups and, DLPFC-based functional connectivity. RESULTS The ASD and control groups were able to modulate DLPFC activity in 84% and 98% of the runs. Activity in the target region was persistently lower in the ASD group, particularly in runs without neurofeedback. Moreover, the ASD group showed lower activity in premotor/motor areas during pre-neurofeedback run than controls, but not in transfer runs, where it was seemingly balanced by higher connectivity between the DLPFC and the motor cortex. Group comparison in the transfer run also showed significant differences in DLPFC-based connectivity between groups, including higher connectivity with areas integrated into the multidemand network (MDN) and the visual cortex. CONCLUSIONS Neurofeedback seems to induce a higher between-group similarity of the whole-brain activity levels (including the target ROI) which might be promoted by changes in connectivity between the DLPFC and both high and low-level areas, including motor, visual and MDN regions.
Collapse
Affiliation(s)
- Daniela Jardim Pereira
- Neurorradiology Functional Area, Imaging Department, Coimbra Hospital and University Center, Coimbra, Portugal
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Sofia Morais
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Psychiatry Department, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Alexandre Sayal
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Siemens Healthineers Portugal, Lisboa, Portugal
| | - João Pereira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Sofia Meneses
- Psychology Department, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Graça Areias
- Psychology Department, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Bruno Direito
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- IATV-Instituto do Ambiente, Tecnologia e Vida (IATV), Coimbra, Portugal
| | - António Macedo
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Siemens Healthineers Portugal, Lisboa, Portugal
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
| |
Collapse
|
4
|
Pereira DJ, Sayal A, Pereira J, Morais S, Macedo A, Direito B, Castelo-Branco M. Neurofeedback-dependent influence of the ventral striatum using a working memory paradigm targeting the dorsolateral prefrontal cortex. Front Behav Neurosci 2023; 17:1014223. [PMID: 36844653 PMCID: PMC9947361 DOI: 10.3389/fnbeh.2023.1014223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/18/2023] [Indexed: 02/11/2023] Open
Abstract
Executive functions and motivation have been established as key aspects for neurofeedback success. However, task-specific influence of cognitive strategies is scarcely explored. In this study, we test the ability to modulate the dorsolateral prefrontal cortex, a strong candidate for clinical application of neurofeedback in several disorders with dysexecutive syndrome, and investigate how feedback contributes to better performance in a single session. Participants of both neurofeedback (n = 17) and sham-control (n = 10) groups were able to modulate DLPFC in most runs (with or without feedback) while performing a working memory imagery task. However, activity in the target area was higher and more sustained in the active group when receiving feedback. Furthermore, we found increased activity in the nucleus accumbens in the active group, compared with a predominantly negative response along the block in participants receiving sham feedback. Moreover, they acknowledged the non-contingency between imagery and feedback, reflecting the impact on motivation. This study reinforces DLPFC as a robust target for neurofeedback clinical implementations and enhances the critical influence of the ventral striatum, both poised to achieve success in the self-regulation of brain activity.
Collapse
Affiliation(s)
- Daniela Jardim Pereira
- Neurorradiology Functional Area, Imaging Department, Coimbra Hospital and University Center, Coimbra, Portugal,Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal,Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Alexandre Sayal
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal,Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal,Siemens Healthineers Portugal, Lisboa, Portugal
| | - João Pereira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal,Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Sofia Morais
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal,Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal,Psychiatry Department, Coimbra Hospital and University Center, Coimbra, Portugal
| | - António Macedo
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal,Psychiatry Department, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Bruno Direito
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal,Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal,IATV—Instituto do Ambiente, Tecnologia e Vida (IATV), Coimbra, Portugal
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal,Faculty of Medicine, University of Coimbra, Coimbra, Portugal,Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal,*Correspondence: Miguel Castelo-Branco
| |
Collapse
|
5
|
Miskowiak KW, Yalin N, Seeberg I, Burdick KE, Balanzá‐Martínez V, Bonnin CDM, Bowie CR, Carvalho AF, Dols A, Douglas K, Gallagher P, Hasler G, Kessing LV, Lafer B, Lewandowski KE, López‐Jaramillo C, Martinez‐Aran A, McIntyre RS, Porter RJ, Purdon SE, Schaffer A, Sumiyoshi T, Torres IJ, Van Rheenen TE, Yatham LN, Young AH, Vieta E, Stokes PRA. Can magnetic resonance imaging enhance the assessment of potential new treatments for cognitive impairment in mood disorders? A systematic review and position paper by the International Society for Bipolar Disorders Targeting Cognition Task Force. Bipolar Disord 2022; 24:615-636. [PMID: 35950925 PMCID: PMC9826389 DOI: 10.1111/bdi.13247] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Developing treatments for cognitive impairment is key to improving the functioning of people with mood disorders. Neuroimaging may assist in identifying brain-based efficacy markers. This systematic review and position paper by the International Society for Bipolar Disorders Targeting Cognition Task Force examines the evidence from neuroimaging studies of pro-cognitive interventions. METHODS We included magnetic resonance imaging (MRI) studies of candidate interventions in people with mood disorders or healthy individuals, following the procedures of the Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 statement. Searches were conducted on PubMed/MEDLINE, PsycInfo, EMBASE, Cochrane Library, and Clinicaltrials.gov from inception to 30th April 2021. Two independent authors reviewed the studies using the National Heart, Lung, Blood Institutes of Health Quality Assessment Tool for Controlled Intervention Studies and the quality of neuroimaging methodology assessment checklist. RESULTS We identified 26 studies (N = 702). Six investigated cognitive remediation or pharmacological treatments in mood disorders (N = 190). In healthy individuals, 14 studies investigated pharmacological interventions (N = 319), 2 cognitive training (N = 73) and 4 neuromodulatory treatments (N = 120). Methodologies were mostly rated as 'fair'. 77% of studies investigated effects with task-based fMRI. Findings varied but most consistently involved treatment-associated cognitive control network (CCN) activity increases with cognitive improvements, or CCN activity decreases with no cognitive change, and increased functional connectivity. In mood disorders, treatment-related default mode network suppression occurred. CONCLUSIONS Modulation of CCN and DMN activity is a putative efficacy biomarker. Methodological recommendations are to pre-declare intended analyses and use task-based fMRI, paradigms probing the CCN, longitudinal assessments, mock scanning, and out-of-scanner tests.
Collapse
Affiliation(s)
- Kamilla W. Miskowiak
- Copenhagen Affective disorder Research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalCopenhagenDenmark,Department of PsychologyUniversity of CopenhagenCopenhagenDenmark
| | - Nefize Yalin
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Ida Seeberg
- Copenhagen Affective disorder Research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalCopenhagenDenmark
| | - Katherine E. Burdick
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA,Department of PsychiatryBrigham and Women's HospitalBostonMassachusettsUSA
| | - Vicent Balanzá‐Martínez
- Teaching Unit of Psychiatry and Psychological Medicine, Department of MedicineUniversity of Valencia, CIBERSAMValenciaSpain
| | - Caterina del Mar Bonnin
- Clinical Institute of Neuroscience, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | | | - Andre F. Carvalho
- IMPACT Strategic Research Centre (Innovation in Mental and Physical Health and Clinical Treatment)Deakin UniversityGeelongVictoriaAustralia
| | - Annemieke Dols
- Department of Old Age Psychiatry, GGZ in Geest, Amsterdam UMC, location VUmc, Amsterdam NeuroscienceAmsterdam Public Health research instituteAmsterdamThe Netherlands
| | - Katie Douglas
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Peter Gallagher
- Translational and Clinical Research Institute, Faculty of Medical SciencesNewcastle UniversityNewcastle‐upon‐TyneUK
| | - Gregor Hasler
- Psychiatry Research UnitUniversity of FribourgFribourgSwitzerland
| | - Lars V. Kessing
- Copenhagen Affective disorder Research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalCopenhagenDenmark,Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Beny Lafer
- Bipolar Disorder Research Program, Institute of Psychiatry, Hospital das Clinicas, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Kathryn E. Lewandowski
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA,McLean HospitalSchizophrenia and Bipolar Disorder ProgramBelmontMassachusettsUSA
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry, Department of PsychiatryUniversidad de AntioquiaMedellínColombia
| | - Anabel Martinez‐Aran
- Clinical Institute of Neuroscience, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | - Roger S. McIntyre
- Mood Disorders Psychopharmacology Unit, Brain and Cognition Discovery FoundationUniversity of TorontoTorontoCanada
| | - Richard J. Porter
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Scot E. Purdon
- Department of PsychiatryUniversity of AlbertaEdmontonCanada
| | - Ayal Schaffer
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - Tomiki Sumiyoshi
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Ivan J. Torres
- Department of PsychiatryUniversity of British ColumbiaVancouverCanada
| | - Tamsyn E. Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of MelbourneCarltonAustralia,Centre for Mental Health, Faculty of Health, Arts and DesignSwinburne UniversityHawthornAustralia
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverCanada
| | - Allan H. Young
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | - Paul R. A. Stokes
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| |
Collapse
|
6
|
Arciniega H, Shires J, Furlong S, Kilgore-Gomez A, Cerreta A, Murray NG, Berryhill ME. Impaired visual working memory and reduced connectivity in undergraduates with a history of mild traumatic brain injury. Sci Rep 2021; 11:2789. [PMID: 33531546 PMCID: PMC7854733 DOI: 10.1038/s41598-021-80995-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 01/01/2021] [Indexed: 12/30/2022] Open
Abstract
Mild traumatic brain injury (mTBI), or concussion, accounts for 85% of all TBIs. Yet survivors anticipate full cognitive recovery within several months of injury, if not sooner, dependent upon the specific outcome/measure. Recovery is variable and deficits in executive function, e.g., working memory (WM) can persist years post-mTBI. We tested whether cognitive deficits persist in otherwise healthy undergraduates, as a conservative indicator for mTBI survivors at large. We collected WM performance (change detection, n-back tasks) using various stimuli (shapes, locations, letters; aurally presented numbers and letters), and wide-ranging cognitive assessments (e.g., RBANS). We replicated the observation of a general visual WM deficit, with preserved auditory WM. Surprisingly, visual WM deficits were equivalent in participants with a history of mTBI (mean 4.3 years post-injury) and in undergraduates with recent sports-related mTBI (mean 17 days post-injury). In seeking the underlying mechanism of these behavioral deficits, we collected resting state fMRI (rsfMRI) and EEG (rsEEG). RsfMRI revealed significantly reduced connectivity within WM-relevant networks (default mode, central executive, dorsal attention, salience), whereas rsEEG identified no differences (modularity, global efficiency, local efficiency). In summary, otherwise healthy current undergraduates with a history of mTBI present behavioral deficits with evidence of persistent disconnection long after full recovery is expected.
Collapse
Affiliation(s)
- Hector Arciniega
- Department of Psychology, Programs in Cognitive and Brain Sciences, and Integrative Neuroscience, University of Nevada, 1664 N. Virginia St., MS 296, Reno, NV, 89557, USA.
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02215, USA.
| | - Jorja Shires
- Department of Psychology, Programs in Cognitive and Brain Sciences, and Integrative Neuroscience, University of Nevada, 1664 N. Virginia St., MS 296, Reno, NV, 89557, USA
| | - Sarah Furlong
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alexandrea Kilgore-Gomez
- Department of Psychology, Programs in Cognitive and Brain Sciences, and Integrative Neuroscience, University of Nevada, 1664 N. Virginia St., MS 296, Reno, NV, 89557, USA
| | - Adelle Cerreta
- Department of Psychology, Programs in Cognitive and Brain Sciences, and Integrative Neuroscience, University of Nevada, 1664 N. Virginia St., MS 296, Reno, NV, 89557, USA
| | - Nicholas G Murray
- Department of Psychology, Programs in Cognitive and Brain Sciences, and Integrative Neuroscience, University of Nevada, 1664 N. Virginia St., MS 296, Reno, NV, 89557, USA
- School of Community Health Sciences, University of Nevada, Reno, 89557, USA
| | - Marian E Berryhill
- Department of Psychology, Programs in Cognitive and Brain Sciences, and Integrative Neuroscience, University of Nevada, 1664 N. Virginia St., MS 296, Reno, NV, 89557, USA
| |
Collapse
|
7
|
Tursic A, Eck J, Lührs M, Linden DEJ, Goebel R. A systematic review of fMRI neurofeedback reporting and effects in clinical populations. Neuroimage Clin 2020; 28:102496. [PMID: 33395987 PMCID: PMC7724376 DOI: 10.1016/j.nicl.2020.102496] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/29/2020] [Accepted: 11/02/2020] [Indexed: 12/22/2022]
Abstract
Real-time fMRI-based neurofeedback is a relatively young field with a potential to impact the currently available treatments of various disorders. In order to evaluate the evidence of clinical benefits and investigate how consistently studies report their methods and results, an exhaustive search of fMRI neurofeedback studies in clinical populations was performed. Reporting was evaluated using a limited number of Consensus on the reporting and experimental design of clinical and cognitive-behavioral neurofeedback studies (CRED-NF checklist) items, which was, together with a statistical power and sensitivity calculation, used to also evaluate the existing evidence of the neurofeedback benefits on clinical measures. The 62 found studies investigated regulation abilities and/or clinical benefits in a wide range of disorders, but with small sample sizes and were therefore unable to detect small effects. Most points from the CRED-NF checklist were adequately reported by the majority of the studies, but some improvements are suggested for the reporting of group comparisons and relations between regulation success and clinical benefits. To establish fMRI neurofeedback as a clinical tool, more emphasis should be placed in the future on using larger sample sizes determined through a priori power calculations and standardization of procedures and reporting.
Collapse
Affiliation(s)
- Anita Tursic
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands; Brain Innovation B.V, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.
| | - Judith Eck
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands; Brain Innovation B.V, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.
| | - Michael Lührs
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands; Brain Innovation B.V, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.
| | - David E J Linden
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
| | - Rainer Goebel
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands; Brain Innovation B.V, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands; Department of Neuroimaging and Neuromodeling, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA Amsterdam, the Netherlands.
| |
Collapse
|
8
|
Liu N, Yao L, Zhao X. Evaluating the amygdala network induced by neurofeedback training for emotion regulation using hierarchical clustering. Brain Res 2020; 1740:146853. [PMID: 32339500 DOI: 10.1016/j.brainres.2020.146853] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 04/08/2020] [Accepted: 04/22/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Previous studies have shown that regulating the target region by real-time fMRI-based neurofeedback training can influence the activation of other regions and the functional connectivity between them. However, it is not clear whether the training effect of neurofeedback, especially in emotion regulation, is manifested in local network specialization or global network integration. In the current study, we chose the left amygdala (LA) as the target region to regulate positive emotion through real-time fMRI training. Average-linkage hierarchical clustering was employed to cluster the fMRI data recorded during the training to construct whole-brain networks and the LA network to which the LA belongs. RESULTS The activation in the LA and those in some other regions were significantly up-regulated during the training. The clustering analysis at group level showed that the feedback training did not affect the number of networks in the whole brain but altered the distribution and functional connectivity in the LA network. CONCLUSION These findings suggested that the feedback training effects in emotion regulation pattern reflected by the activity of the target brain network and the connections within the network were robustly embodied in local network specialization instead of in global network integration.
Collapse
Affiliation(s)
- Ning Liu
- College of Information Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Li Yao
- College of Information Science and Technology, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Xiaojie Zhao
- College of Information Science and Technology, Beijing Normal University, Beijing 100875, China.
| |
Collapse
|
9
|
Dajani DR, Odriozola P, Winters M, Voorhies W, Marcano S, Baez A, Gates KM, Dick AS, Uddin LQ. Measuring Cognitive Flexibility with the Flexible Item Selection Task: From fMRI Adaptation to Individual Connectome Mapping. J Cogn Neurosci 2020; 32:1026-1045. [PMID: 32013686 DOI: 10.1162/jocn_a_01536] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Cognitive flexibility, the ability to appropriately adjust behavior in a changing environment, has been challenging to operationalize and validate in cognitive neuroscience studies. Here, we investigate neural activation and directed functional connectivity underlying cognitive flexibility using an fMRI-adapted version of the Flexible Item Selection Task (FIST) in adults (n = 32, ages 19-46 years). The fMRI-adapted FIST was reliable, showed comparable performance to the computer-based version of the task, and produced robust activation in frontoparietal, anterior cingulate, insular, and subcortical regions. During flexibility trials, participants directly engaged the left inferior frontal junction, which influenced activity in other cortical and subcortical regions. The strength of intrinsic functional connectivity between select brain regions was related to individual differences in performance on the FIST, but there was also significant individual variability in functional network topography supporting cognitive flexibility. Taken together, these results suggest that the FIST is a valid measure of cognitive flexibility, which relies on computations within a broad corticosubcortical network driven by inferior frontal junction engagement.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Lucina Q Uddin
- University of Miami.,University of Miami Miller School of Medicine
| |
Collapse
|
10
|
Li X, Chu MY, Lv QY, Hu HX, Li Z, Yi ZH, Wang JH, Zhang JY, Lui SSY, Cheung EFC, Shum DHK, Chan RCK. The remediation effects of working memory training in schizophrenia patients with prominent negative symptoms. Cogn Neuropsychiatry 2019; 24:434-453. [PMID: 31583951 DOI: 10.1080/13546805.2019.1674644] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Introduction: Negative symptoms, particularly amotivation and anhedonia, are important predictors of poor functional outcome in patients with schizophrenia. There has been interest in the efficacy and mechanism of non-pharmacological interventions to alleviate these symptoms. The present study aimed to examine the remediation effect of working memory (WM) training in patients with schizophrenia with prominent negative symptoms.Methods: Thirty-one schizophrenia patients with prominent negative symptoms were recruited and assigned to either a WM training group or a treatment-as-usual (TAU) control group. The WM training group underwent 20 sessions of training using the dual n-back task over one month. A functional neuroimaging paradigm of the Affective Incentive Delay (AID) task was administered before and after the training intervention to evaluate the remediation effect of the intervention.Results: Our results showed that the WM training group demonstrated significant improvement in the WM training task and inattention symptoms. Compared with the TAU group, increased brain activations were observed at the right insula and the right frontal sub-gyral after WM training in the training group.Conclusions: These findings support the efficacy of WM training in ameliorating hedonic dysfunction in schizophrenia patients with prominent negative symptoms.
Collapse
Affiliation(s)
- Xu Li
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.,Key Laboratory of Adolescent Cyberpsychology and Behavior(CCNU), Ministry of Education, School of Psychology, Central China Normal University, Wuhan, People's Republic of China
| | - Min-Yi Chu
- Translational Neuropsychology and Applied Cognitive Neuroscience Laboratory, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Qin-Yu Lv
- Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hui-Xin Hu
- Translational Neuropsychology and Applied Cognitive Neuroscience Laboratory, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zhi Li
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Zheng-Hui Yi
- Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jin-Hong Wang
- MRI Center, Shanghai Mental Health Centre, Shanghai, People's Republic of China
| | - Jian-Ye Zhang
- MRI Center, Shanghai Mental Health Centre, Shanghai, People's Republic of China
| | - Simon S Y Lui
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, People's Republic of China.,Castle Peak Hospital, Hong Kong Special Administration Region, People's Republic of China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administration Region, People's Republic of China
| | - David H K Shum
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, People's Republic of China.,Menzies Health Institute Queensland and School of Applied Psychology, Griffith University, Gold Coast, Australia.,Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, People's Republic of China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.,Translational Neuropsychology and Applied Cognitive Neuroscience Laboratory, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,Menzies Health Institute Queensland and School of Applied Psychology, Griffith University, Gold Coast, Australia
| |
Collapse
|
11
|
Witt ST, Drissi NM, Tapper S, Wretman A, Szakács A, Hallböök T, Landtblom AM, Karlsson T, Lundberg P, Engström M. Evidence for cognitive resource imbalance in adolescents with narcolepsy. Brain Imaging Behav 2019; 12:411-424. [PMID: 28321606 PMCID: PMC5880867 DOI: 10.1007/s11682-017-9706-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2022]
Abstract
The study investigated brain activity changes during performance of a verbal working memory task in a population of adolescents with narcolepsy. Seventeen narcolepsy patients and twenty healthy controls performed a verbal working memory task during simultaneous fMRI and EEG acquisition. All subjects also underwent MRS to measure GABA and Glutamate concentrations in the medial prefrontal cortex. Activation levels in the default mode network and left middle frontal gyrus were examined to investigate whether narcolepsy is characterized by an imbalance in cognitive resources. Significantly increased deactivation within the default mode network during task performance was observed for the narcolepsy patients for both the encoding and recognition phases of the task. No evidence for task performance deficits or reduced activation within the left middle frontal gyrus was noted for the narcolepsy patients. Correlation analyses between the spectroscopy and fMRI data indicated that deactivation of the anterior aspect of the default mode in narcolepsy patients correlated more with increased concentrations of Glutamate and decreased concentrations of GABA. In contrast, deactivation in the default mode was correlated with increased concentrations of GABA and decreased concentrations of Glutamate in controls. The results suggested that narcolepsy is not characterized by a deficit in working memory but rather an imbalance of cognitive resources in favor of monitoring and maintaining attention over actual task performance. This points towards dysregulation within the sustained attention system being the origin behind self-reported cognitive difficulties in narcolepsy.
Collapse
Affiliation(s)
- Suzanne T Witt
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.
| | - Natasha Morales Drissi
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.,Department of Medical and Health Sciences (IMH), Linköping University, Linköping, Sweden
| | - Sofie Tapper
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.,Radiation Physics, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Anna Wretman
- Linnaeus Center HEAD, Linköping University, Linköping, Sweden
| | - Attila Szakács
- Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tove Hallböök
- Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne-Marie Landtblom
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.,Department of Neurology, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Department of Neuroscience and Neurology, Uppsala University, Uppsala, Sweden
| | - Thomas Karlsson
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.,Linnaeus Center HEAD, Linköping University, Linköping, Sweden.,Department of Behavioral Sciences and Learning, Linköping University, Linköping, Sweden
| | - Peter Lundberg
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.,Radiation Physics, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Maria Engström
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköpings universitet/US, SE-581 85, Linköping, SE, Sweden.,Department of Medical and Health Sciences (IMH), Linköping University, Linköping, Sweden
| |
Collapse
|
12
|
Rubia K, Criaud M, Wulff M, Alegria A, Brinson H, Barker G, Stahl D, Giampietro V. Functional connectivity changes associated with fMRI neurofeedback of right inferior frontal cortex in adolescents with ADHD. Neuroimage 2019; 188:43-58. [PMID: 30513395 PMCID: PMC6414400 DOI: 10.1016/j.neuroimage.2018.11.055] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 11/28/2018] [Accepted: 11/29/2018] [Indexed: 11/21/2022] Open
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is associated with poor self-control, underpinned by inferior fronto-striatal deficits. We showed previously that 18 ADHD adolescents over 11 runs of 8.5 min of real-time functional magnetic resonance neurofeedback of the right inferior frontal cortex (rIFC) progressively increased activation in 2 regions of the rIFC which was associated with clinical symptom improvement. In this study, we used functional connectivity analyses to investigate whether fMRI-Neurofeedback of rIFC resulted in dynamic functional connectivity changes in underlying neural networks. Whole-brain seed-based functional connectivity analyses were conducted using the two clusters showing progressively increased activation in rIFC as seed regions to test for changes in functional connectivity before and after 11 fMRI-Neurofeedback runs. Furthermore, we tested whether the resulting functional connectivity changes were associated with clinical symptom improvements and whether they were specific to fMRI-Neurofeedback of rIFC when compared to a control group who had to self-regulate another region. rIFC showed increased positive functional connectivity after relative to before fMRI-Neurofeedback with dorsal caudate and anterior cingulate and increased negative functional connectivity with regions of the default mode network (DMN) such as posterior cingulate and precuneus. Furthermore, the functional connectivity changes were correlated with clinical improvements and the functional connectivity and correlation findings were specific to the rIFC-Neurofeedback group. The findings show for the first time that fMRI-Neurofeedback of a typically dysfunctional frontal region in ADHD adolescents leads to strengthening within fronto-cingulo-striatal networks and to weakening of functional connectivity with posterior DMN regions and that this may be underlying clinical improvement.
Collapse
Affiliation(s)
- K Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| | - M Criaud
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - M Wulff
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - A Alegria
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - H Brinson
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - G Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - D Stahl
- Department of Biostatistics & Health Informatics, King's College London, UK
| | - V Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| |
Collapse
|
13
|
Nicholson AA, Rabellino D, Densmore M, Frewen PA, Paret C, Kluetsch R, Schmahl C, Théberge J, Ros T, Neufeld RWJ, McKinnon MC, Reiss JP, Jetly R, Lanius RA. Intrinsic connectivity network dynamics in PTSD during amygdala downregulation using real-time fMRI neurofeedback: A preliminary analysis. Hum Brain Mapp 2018; 39:4258-4275. [PMID: 30004602 DOI: 10.1002/hbm.24244] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 05/23/2018] [Accepted: 05/29/2018] [Indexed: 01/01/2023] Open
Abstract
Posttraumatic stress disorder (PTSD) has been associated with a disturbance in neural intrinsic connectivity networks (ICN), including the central executive network (CEN), default mode network (DMN), and salience network (SN). Here, we conducted a preliminary investigation examining potential changes in ICN recruitment as a function of real-time fMRI neurofeedback (rt-fMRI-NFB) during symptom provocation where we targeted the downregulation of neural response within the amygdala-a key region-of-interest in PTSD neuropathophysiology. Patients with PTSD (n = 14) completed three sessions of rt-fMRI-NFB with the following conditions: (a) regulate: decrease activation in the amygdala while processing personalized trauma words; (b) view: process trauma words while not attempting to regulate the amygdala; and (c) neutral: process neutral words. We found that recruitment of the left CEN increased over neurofeedback runs during the regulate condition, a finding supported by increased dlPFC activation during the regulate as compared to the view condition. In contrast, DMN task-negative recruitment was stable during neurofeedback runs, albeit was the highest during view conditions and increased (normalized) during rest periods. Critically, SN recruitment was high for both the regulate and the view conditions, a finding potentially indicative of CEN modality switching, adaptive learning, and increasing threat/defense processing in PTSD. In conclusion, this study provides provocative, preliminary evidence that downregulation of the amygdala using rt-fMRI-NFB in PTSD is associated with dynamic changes in ICN, an effect similar to those observed using EEG modalities of neurofeedback.
Collapse
Affiliation(s)
- Andrew A Nicholson
- Department of Neuroscience, Western University, London, Ontario, Canada.,Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Imaging, Lawson Health Research Institute, London, Ontario, Canada.,Homewood Research Institute, Guelph, Ontario, Canada
| | - Daniela Rabellino
- Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Imaging, Lawson Health Research Institute, London, Ontario, Canada.,Homewood Research Institute, Guelph, Ontario, Canada
| | - Maria Densmore
- Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Imaging, Lawson Health Research Institute, London, Ontario, Canada
| | - Paul A Frewen
- Department of Neuroscience, Western University, London, Ontario, Canada.,Department of Psychology, Western University, London, Ontario, Canada
| | - Christian Paret
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Rosemarie Kluetsch
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Jean Théberge
- Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Imaging, Lawson Health Research Institute, London, Ontario, Canada.,Department of Medical Imaging, Western University, London, Ontario, Canada.,Department of Medial Biophysics, Western University, London, Ontario, Canada.,Department of Diagnostic Imaging, St. Joseph's Healthcare, London, Ontario, Canada
| | - Tomas Ros
- Laboratory of Neurology and Imaging of Cognition, Department of Neuroscience, University of Geneva, Geneva, Switzerland
| | - Richard W J Neufeld
- Department of Neuroscience, Western University, London, Ontario, Canada.,Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Psychology, Western University, London, Ontario, Canada
| | - Margaret C McKinnon
- Homewood Research Institute, Guelph, Ontario, Canada.,Mood Disorders Program, St. Joseph's Healthcare, Hamilton, Ontario, Canada.,Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, Ontario, Canada
| | - Jeffrey P Reiss
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - Rakesh Jetly
- Canadian Forces, Health Services, Ottawa, Ontario, Canada
| | - Ruth A Lanius
- Department of Neuroscience, Western University, London, Ontario, Canada.,Department of Psychiatry, Western University, London, Ontario, Canada.,Department of Imaging, Lawson Health Research Institute, London, Ontario, Canada
| |
Collapse
|
14
|
Popova P, Rockstroh B, Miller GA, Wienbruch C, Carolus AM, Popov T. The impact of cognitive training on spontaneous gamma oscillations in schizophrenia. Psychophysiology 2018; 55:e13083. [PMID: 29624694 DOI: 10.1111/psyp.13083] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 03/08/2018] [Accepted: 03/08/2018] [Indexed: 12/27/2022]
Abstract
Schizophrenia patients exhibit less gamma-frequency EEG/MEG activity (>30 Hz), a finding interpreted as evidence of poor temporal neural organization and functional network communication. Research has shown that neuroplasticity-oriented training can improve task-related oscillatory dynamics, indicating some reorganization capacity in schizophrenia. Demonstrating a generalization of such task training effects to spontaneous oscillations at rest would not only enrich understanding of this neuroplastic potential but inform the interpretation of spontaneous gamma oscillations in the service of normal cognitive function. In the present study, neuromagnetic resting-state oscillatory brain activity and cognitive performance were assessed before and after training in 61 schizophrenia patients, who were randomly assigned to 4 weeks of neuroplasticity-oriented targeted cognitive training or treatment as usual (TAU). Gamma power of 40-90 Hz increased after training, but not after TAU, in a frontoparietal network. Across two types of training, this increase was related to improved cognitive test performance. These results indicate that abnormal oscillatory dynamics in schizophrenia patients manifested in spontaneous gamma activity can be changed with neuroplasticity-oriented training parallel to cognitive performance.
Collapse
Affiliation(s)
- Petia Popova
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | | | - Gregory A Miller
- Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | | | - Almut M Carolus
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Tzvetan Popov
- Department of Psychology, University of Konstanz, Konstanz, Germany
| |
Collapse
|
15
|
Thompson GJ. Neural and metabolic basis of dynamic resting state fMRI. Neuroimage 2017; 180:448-462. [PMID: 28899744 DOI: 10.1016/j.neuroimage.2017.09.010] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 08/30/2017] [Accepted: 09/06/2017] [Indexed: 02/07/2023] Open
Abstract
Resting state fMRI (rsfMRI) as a technique showed much initial promise for use in psychiatric and neurological diseases where diagnosis and treatment were difficult. To realize this promise, many groups have moved towards examining "dynamic rsfMRI," which relies on the assumption that rsfMRI measurements on short time scales remain relevant to the underlying neural and metabolic activity. Many dynamic rsfMRI studies have demonstrated differences between clinical or behavioral groups beyond what static rsfMRI measured, suggesting a neurometabolic basis. Correlative studies combining dynamic rsfMRI and other physiological measurements have supported this. However, they also indicate multiple mechanisms and, if using correlation alone, it is difficult to separate cause and effect. Hypothesis-driven studies are needed, a few of which have begun to illuminate the underlying neurometabolic mechanisms that shape observed differences in dynamic rsfMRI. While the number of potential noise sources, potential actual neurometabolic sources, and methodological considerations can seem overwhelming, dynamic rsfMRI provides a rich opportunity in systems neuroscience. Even an incrementally better understanding of the neurometabolic basis of dynamic rsfMRI would expand rsfMRI's research and clinical utility, and the studies described herein take the first steps on that path forward.
Collapse
Affiliation(s)
- Garth J Thompson
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China.
| |
Collapse
|
16
|
Bassett DS, Khambhati AN. A network engineering perspective on probing and perturbing cognition with neurofeedback. Ann N Y Acad Sci 2017; 1396:126-143. [PMID: 28445589 PMCID: PMC5446287 DOI: 10.1111/nyas.13338] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback. To blend these disparate strands of research, we build on emerging conceptualizations of how the brain functions (as a complex network) and how we can develop and target interventions or modulations (as a form of network control). We close with an outline of current frontiers that bridge neurofeedback, connectomics, and network control theory to better understand human cognition.
Collapse
Affiliation(s)
- Danielle S. Bassett
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of Electrical and Systems EngineeringUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Ankit N. Khambhati
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPennsylvania
| |
Collapse
|
17
|
Baenninger A, Diaz Hernandez L, Rieger K, Ford JM, Kottlow M, Koenig T. Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia. Front Psychiatry 2016; 7:29. [PMID: 27047395 PMCID: PMC4796005 DOI: 10.3389/fpsyt.2016.00029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 02/22/2016] [Indexed: 11/13/2022] Open
Abstract
Patients with schizophrenia show abnormal dynamics and structure of temporally -coherent networks (TCNs) assessed using fMRI, which undergo adaptive shifts in preparation for a cognitively demanding task. During working memory (WM) tasks, patients with schizophrenia show persistent deficits in TCNs as well as EEG indices of WM. Studying their temporal relationship during WM tasks might provide novel insights into WM performance deficits seen in schizophrenia. Simultaneous EEG-fMRI data were acquired during the performance of a verbal Sternberg WM task with two load levels (load 2 and load 5) in 17 patients with schizophrenia and 17 matched healthy controls. Using covariance mapping, we investigated the relationship of the activity in the TCNs before the memoranda were encoded and EEG spectral power during the retention interval. We assessed four TCNs - default mode network (DMN), dorsal attention network (dAN), left and right working memory networks (WMNs) - and three EEG bands - theta, alpha, and beta. In healthy controls, there was a load-dependent inverse relation between DMN and frontal midline theta power and an anti-correlation between DMN and dAN. Both effects were not significantly detectable in patients. In addition, healthy controls showed a left-lateralized load-dependent recruitment of the WMNs. Activation of the WMNs was bilateral in patients, suggesting more resources were recruited for successful performance on the WM task. Our findings support the notion of schizophrenia patients showing deviations in their neurophysiological responses before the retention of relevant information in a verbal WM task. Thus, treatment strategies as neurofeedback -targeting prestates could be beneficial as task performance relies on the preparatory state of the brain.
Collapse
Affiliation(s)
- Anja Baenninger
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; San Francisco VA Medical Center, San Francisco, CA, USA
| | - Laura Diaz Hernandez
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| | - Kathryn Rieger
- Center for Cognition, Learning and Memory, University of Bern , Bern , Switzerland
| | - Judith M Ford
- San Francisco VA Medical Center, San Francisco, CA, USA; Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Mara Kottlow
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| | - Thomas Koenig
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| |
Collapse
|