1
|
Skolasinska P, Qin S, Voss M, Lee HK, Basak C. Brain activations elicited during task-switching generalize beyond the task: A partial least squares correlation approach to combine fMRI signals and cognition. Hum Brain Mapp 2024; 45:e26804. [PMID: 39126346 PMCID: PMC11316247 DOI: 10.1002/hbm.26804] [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: 02/22/2024] [Revised: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/12/2024] Open
Abstract
An underlying hypothesis for broad transfer from cognitive training is that the regional brain signals engaged during the training task are related to the transfer tasks. However, it is unclear whether the brain activations elicited from a specific cognitive task can generalize to performance of other tasks, esp. in normal aging where cognitive training holds much promise. In this large dual-site functional magnetic resonance imaging (fMRI) study, we aimed to characterize the neurobehavioral correlates of task-switching in normal aging and examine whether the task-switching-related fMRI-blood-oxygen-level-dependent (BOLD) signals, engaged during varieties of cognitive control, generalize to other tasks of executive control and general cognition. We therefore used a hybrid blocked and event-related fMRI task-switching paradigm to investigate brain regions associated with multiple types of cognitive control on 129 non-demented older adults (65-85 years). This large dataset provided a unique opportunity for a data-driven partial least squares-correlation approach to investigate the generalizability of multiple fMRI-BOLD signals associated with task-switching costs to other tasks of executive control, general cognition, and demographic characteristics. While some fMRI signals generalized beyond the scanned task, others did not. Results indicate right middle frontal brain activation as detrimental to task-switching performance, whereas inferior frontal and caudate activations were related to faster processing speed during the fMRI task-switching, but activations of these regions did not predict performance on other tasks of executive control or general cognition. However, BOLD signals from the right lateral occipital cortex engaged during the fMRI task positively predicted performance on a working memory updating task, and BOLD signals from the left post-central gyrus that were disengaged during the fMRI task were related to slower processing speed in the task as well as to lower general cognition. Together, these results suggest generalizability of these BOLD signals beyond the scanned task. The findings also provided evidence for the general slowing hypothesis of aging as most variance in the data were explained by low processing speed and global low BOLD signal in older age. As processing speed shared variance with task-switching and other executive control tasks, it might be a possible basis of generalizability between these tasks. Additional results support the dedifferentiation hypothesis of brain aging, as right middle frontal activations predicted poorer task-switching performance. Overall, we observed that the BOLD signals related to the fMRI task not only generalize to the performance of other executive control tasks, but unique brain predictors of out-of-scanner performance can be identified.
Collapse
Affiliation(s)
- Paulina Skolasinska
- Center for Vital Longevity, Department of PsychologyThe University of Texas at DallasDallasTexasUSA
| | - Shuo Qin
- Center for Sleep and CognitionYong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
| | - Michelle Voss
- Department of Psychological and Brain SciencesUniversity of IowaIowa CityIowaUSA
| | | | - Chandramallika Basak
- Center for Vital Longevity, Department of PsychologyThe University of Texas at DallasDallasTexasUSA
| |
Collapse
|
2
|
Pepin C, Brochu K, Lessard-Bonaventure P, Nguyen DK, Martineau L. Posterior Cingulate Epilepsy: A Systematic Review. J Clin Neurophysiol 2023; 40:507-515. [PMID: 36930208 DOI: 10.1097/wnp.0000000000000975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
SUMMARY In this review, authors discuss epilepsy originating from posterior cingulate regions, a challenging entity to diagnose and most likely underrecognized. A systematic review of posterior middle and posterior cingulate epilepsy cases was conducted to present a summary of current knowledge about this localization-based type of epilepsy. The literature search identified 32 articles, for a total of 69 patients (34 with posterior middle cingulate epilepsy [pMCE] and 35 with posterior cingulate epilepsy [PCE]). Most patients were children and young adults with drug-resistant lesional epilepsy with high seizure burden. In both groups, most patients reported auras, mainly sensory, but various types were reported, including autonomic, behavioral, and cognitive manifestations. Most pMCE and PCE showed motor manifestations (mainly respectively asymmetric tonic posturing and automotor features). Impaired awareness during seizures was more frequently reported in PCE than in pMCE. As for ictal scalp EEG, epileptogenic abnormalities were poorly lateralized and did not localize the seizure onset zone. An ictal temporal involvement was only observed in PCE. Interictal EEG findings were nonspecific. As for other presurgical noninvasive investigations, data are limited, and no studies have adequately assessed their value. Partly explained by our inclusion criteria, most patients underwent a surgical procedure (either lesionectomy or resection of epileptogenic zone as defined by intracranial EEG study results), which overall yielded good outcomes.
Collapse
Affiliation(s)
- Catherine Pepin
- Department of Medicine, Neurology Division Centre Hospitalier Universitaire (CHU) de Québec-Université Laval, Québec City, QC, Canada
| | - Karine Brochu
- Department of Medicine, Neurology Division Centre Hospitalier Universitaire (CHU) de Québec-Université Laval, Québec City, QC, Canada
| | - Paule Lessard-Bonaventure
- Department of Surgery, Neurosurgery Division, Centre Hospitalier Universitaire (CHU) de Québec-Université Laval, Québec City, QC, Canada and
| | - Dang Khoa Nguyen
- Department of Medicine, Neurology Division, Centre Hospitalier de l'Université de Montréal (CHUM)-Université de Montréal, Montréal, QC, Canada
| | - Laurence Martineau
- Department of Medicine, Neurology Division Centre Hospitalier Universitaire (CHU) de Québec-Université Laval, Québec City, QC, Canada
| |
Collapse
|
3
|
Togo M, Matsumoto R, Usami K, Kobayashi K, Takeyama H, Nakae T, Shimotake A, Kikuchi T, Yoshida K, Matsuhashi M, Kunieda T, Miyamoto S, Takahashi R, Ikeda A. Distinct connectivity patterns in human medial parietal cortices: Evidence from standardized connectivity map using cortico-cortical evoked potential. Neuroimage 2022; 263:119639. [PMID: 36155245 DOI: 10.1016/j.neuroimage.2022.119639] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 09/10/2022] [Accepted: 09/19/2022] [Indexed: 11/21/2022] Open
Abstract
The medial parietal cortices are components of the default mode network (DMN), which are active in the resting state. The medial parietal cortices include the precuneus and the dorsal posterior cingulate cortex (dPCC). Few studies have mentioned differences in the connectivity in the medial parietal cortices, and these differences have not yet been precisely elucidated. Electrophysiological connectivity is essential for understanding cortical function or functional differences. Since little is known about electrophysiological connections from the medial parietal cortices in humans, we evaluated distinct connectivity patterns in the medial parietal cortices by constructing a standardized connectivity map using cortico-cortical evoked potential (CCEP). This study included nine patients with partial epilepsy or a brain tumor who underwent chronic intracranial electrode placement covering the medial parietal cortices. Single-pulse electrical stimuli were delivered to the medial parietal cortices (38 pairs of electrodes). Responses were standardized using the z-score of the baseline activity, and a response density map was constructed in the Montreal Neurological Institutes (MNI) space. The precuneus tended to connect with the inferior parietal lobule (IPL), the occipital cortex, superior parietal lobule (SPL), and the dorsal premotor area (PMd) (the four most active regions, in descending order), while the dPCC tended to connect to the middle cingulate cortex, SPL, precuneus, and IPL. The connectivity pattern differs significantly between the precuneus and dPCC stimulation (p<0.05). Regarding each part of the medial parietal cortices, the distributions of parts of CCEP responses resembled those of the functional connectivity database. Based on how the dPCC was connected to the medial frontal area, SPL, and IPL, its connectivity pattern could not be explained by DMN alone, but suggested a mixture of DMN and the frontoparietal cognitive network. These findings improve our understanding of the connectivity profile within the medial parietal cortices. The electrophysiological connectivity is the basis of propagation of electrical activities in patients with epilepsy. In addition, it helps us to better understand the epileptic network arising from the medial parietal cortices.
Collapse
Affiliation(s)
- Masaya Togo
- Department of Neurology, Kyoto University Graduate School of Medicine, Japan; Division of Neurology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan
| | - Riki Matsumoto
- Department of Neurology, Kyoto University Graduate School of Medicine, Japan; Division of Neurology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
| | - Kiyohide Usami
- Department of Neurology, Kyoto University Graduate School of Medicine, Japan
| | - Katsuya Kobayashi
- Department of Neurology, Kyoto University Graduate School of Medicine, Japan
| | - Hirofumi Takeyama
- Department of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Japan; Department of Neurology, Japanese Red Cross Otsu Hospital, Japan
| | - Takuro Nakae
- Department of Neurosurgery, Shiga General Hospital, Japan
| | - Akihiro Shimotake
- Department of Neurology, Kyoto University Graduate School of Medicine, Japan
| | - Takayuki Kikuchi
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Japan
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Japan
| | - Masao Matsuhashi
- Departments of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Takeharu Kunieda
- Department of Neurosurgery, Ehime University Graduate School of Medicine, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Kyoto University Graduate School of Medicine, Japan
| | - Akio Ikeda
- Departments of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| |
Collapse
|
4
|
Lustenhouwer R, Cameron IGM, Wolfs E, van Alfen N, Toni I, Geurts ACH, van Engelen BGM, Groothuis JT, Helmich RC. OUP accepted manuscript. Brain Commun 2022; 4:fcac034. [PMID: 35233524 PMCID: PMC8882006 DOI: 10.1093/braincomms/fcac034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 12/03/2021] [Accepted: 02/14/2022] [Indexed: 11/14/2022] Open
Abstract
Neuralgic amyotrophy is a common peripheral nerve disorder caused by autoimmune inflammation of the brachial plexus, clinically characterized by acute pain and weakness of the shoulder muscles, followed by motor impairment. Despite recovery of the peripheral nerves, patients often have residual motor dysfunction of the upper extremity, leading to persistent pain related to altered biomechanics of the shoulder region. Building on clinical signs that suggest a role for cerebral mechanisms in these residual complaints, here we show and characterize cerebral alterations following neuralgic amyotrophy. Neuralgic amyotrophy patients often develop alternative motor strategies, which suggests that (mal)adaptations may occur in somatomotor and/or visuomotor brain areas. Here, we tested where changes in cerebral sensorimotor representations occur in neuralgic amyotrophy, while controlling for altered motor execution due to peripheral neuropathy. We additionally explore the relation between potential cerebral alterations in neuralgic amyotrophy and clinical symptoms. During functional MRI scanning, 39 neuralgic amyotrophy patients with persistent, lateralized symptoms in the right upper extremity and 23 matched healthy participants solved a hand laterality judgement task that can activate sensorimotor representations of the upper extremity, across somatomotor and visuomotor brain areas. Behavioural and cerebral responses confirmed the involvement of embodied, sensorimotor processes across groups. Compared with healthy participants, neuralgic amyotrophy patients were slower in hand laterality judgement and had decreased cerebral activity specific to their affected limb in two higher-order visual brain regions: the right extrastriate cortex and the parieto-occipital sulcus. Exploratory analyses revealed that across patients, extrastriate activity specific to the affected limb decreased as persistent pain increased, and affected limb-related parieto-occipital activity decreased as imagery performance of the affected limb became slower. These findings suggest that maladaptive cerebral plasticity in visuomotor areas involved in sensorimotor integration plays a role in residual motor dysfunction and subsequent persistent pain in neuralgic amyotrophy. Rehabilitation interventions that apply visuomotor strategies to improve sensorimotor integration may help to treat neuralgic amyotrophy patients.
Collapse
Affiliation(s)
- Renee Lustenhouwer
- Department of Rehabilitation, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Ian G. M. Cameron
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Donders Centre for Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, PO BOX 217, 7500 AE Enschede, The Netherlands
| | - Elze Wolfs
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS Utrecht, The Netherlands
| | - Nens van Alfen
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Ivan Toni
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Alexander C. H. Geurts
- Department of Rehabilitation, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Baziel G. M. van Engelen
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Jan T. Groothuis
- Department of Rehabilitation, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Rick C. Helmich
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Correspondence to: Rick Helmich Department of Neurology, Radboud University Medical Center PO Box 9101, 6500 HB Nijmegen, The Netherlands E-mail:
| |
Collapse
|
5
|
Covey TJ, Golan D, Doniger GM, Sergott R, Zarif M, Bumstead B, Buhse M, Kaczmarek O, Mebrahtu S, Bergmann C, Wilken J, Gudesblatt M. The relationship between cognitive impairment, cognitive fatigue, and visual evoked potential latency in people with multiple sclerosis. Mult Scler Relat Disord 2022; 57:103349. [DOI: 10.1016/j.msard.2021.103349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 10/15/2021] [Accepted: 10/24/2021] [Indexed: 10/20/2022]
|
6
|
Edde M, Dilharreguy B, Theaud G, Chanraud S, Helmer C, Dartigues JF, Amieva H, Allard M, Descoteaux M, Catheline G. Age-related change in episodic memory: role of functional and structural connectivity between the ventral posterior cingulate and the parietal cortex. Brain Struct Funct 2020; 225:2203-2218. [PMID: 32728934 DOI: 10.1007/s00429-020-02121-7] [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: 01/22/2019] [Accepted: 07/23/2020] [Indexed: 10/23/2022]
Abstract
While the neural correlates of age-related episodic memory decline have been extensively studied, the precise involvement of the Posterior Cingulate Cortex (PCC) and posterior parietal cortex (the precuneus and the angular gyrus), remains unclear. The present study examined functional and structural neural correlates of age-related episodic memory change assessed over 12 years in 120 older adults (range 76-90 years). Episodic memory performance was measured using the Free and Cued Selective Reminding Test (FCSRT); functional connectivity metrics were computed from resting-state fMRI images and structural connectivity metrics were assessed through microstructural properties of reconstructed tract using a native space pipeline. We found that FCSRT change was significantly associated with the functional connectivity between the ventral PCC and three parietal regions, the ventral superior, the inferior part of the precuneus, and the rostro dorsal part of the angular gyrus. This association was independent of hippocampal volume. In addition, we found the that change in FCSRT scores was associated with fractional anisotropy of the tract connecting the ventral PCC and the ventral superior part of the precuneus. Change in episodic memory in aging was therefore related to a combination of high functional connectivity and low structural connectivity between the ventral PCC and the ventral superior part of the precuneus.
Collapse
Affiliation(s)
- Manon Edde
- EPHE, PSL, 33000, Bordeaux, France. .,CNRS, INCIA, UMR 5287, 33000, Bordeaux, France. .,, Bât. 2A - 2ème Étage - Case 22, 146 Rue Léo Saignat, 33076, Bordeaux cedex, France.
| | | | - Guillaume Theaud
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Sandra Chanraud
- EPHE, PSL, 33000, Bordeaux, France.,CNRS, INCIA, UMR 5287, 33000, Bordeaux, France.,INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France
| | - Catherine Helmer
- Inserm, Bordeaux Population Health Research Center, UMR 1219, Université de Bordeaux, 33000, Bordeaux, France
| | - Jean-François Dartigues
- INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France.,Inserm, Bordeaux Population Health Research Center, UMR 1219, Université de Bordeaux, 33000, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Hélène Amieva
- Inserm, Bordeaux Population Health Research Center, UMR 1219, Université de Bordeaux, 33000, Bordeaux, France
| | - Michèle Allard
- EPHE, PSL, 33000, Bordeaux, France.,CNRS, INCIA, UMR 5287, 33000, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Gwénaëlle Catheline
- EPHE, PSL, 33000, Bordeaux, France.,CNRS, INCIA, UMR 5287, 33000, Bordeaux, France.,INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France
| |
Collapse
|
7
|
Zhang W, Llera A, Hashemi MM, Kaldewaij R, Koch SBJ, Beckmann CF, Klumpers F, Roelofs K. Discriminating stress from rest based on resting-state connectivity of the human brain: A supervised machine learning study. Hum Brain Mapp 2020; 41:3089-3099. [PMID: 32293072 PMCID: PMC7336146 DOI: 10.1002/hbm.25000] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 03/11/2020] [Accepted: 03/19/2020] [Indexed: 01/25/2023] Open
Abstract
Acute stress induces large-scale neural reorganization with relevance to stress-related psychopathology. Here, we applied a novel supervised machine learning method, combining the strengths of a priori theoretical insights with a data-driven approach, to identify which connectivity changes are most prominently associated with a state of acute stress and individual differences therein. Resting-state functional magnetic resonance imaging scans were taken from 334 healthy participants (79 females) before and after a formal stress induction. For each individual scan, mean time-series were extracted from 46 functional parcels of three major brain networks previously shown to be potentially sensitive to stress effects (default mode network (DMN), salience network (SN), and executive control networks). A data-driven approach was then used to obtain discriminative spatial linear filters that classified the pre- and post-stress scans. To assess potential relevance for understanding individual differences, probability of classification using the most discriminative filters was linked to individual cortisol stress responses. Our model correctly classified pre- versus post-stress states with highly significant accuracy (above 75%; leave-one-out validation relative to chance performance). Discrimination between pre- and post-stress states was mainly based on connectivity changes in regions from the SN and DMN, including the dorsal anterior cingulate cortex, amygdala, posterior cingulate cortex, and precuneus. Interestingly, the probability of classification using these connectivity changes were associated with individual cortisol increases. Our results confirm the involvement of DMN and SN using a data-driven approach, and specifically single out key regions that might receive additional attention in future studies for their relevance also for individual differences.
Collapse
Affiliation(s)
- Wei Zhang
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| | - Alberto Llera
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry, Nijmegen, The Netherlands
| | - Mahur M Hashemi
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| | - Reinoud Kaldewaij
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| | - Saskia B J Koch
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| | - Christian F Beckmann
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands.,Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, Oxford, UK
| | - Floris Klumpers
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| | - Karin Roelofs
- Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| |
Collapse
|
8
|
Guo Q, Hu Y, Zeng B, Tang Y, Li G, Zhang T, Wang J, Northoff G, Li C, Goff D, Wang J, Yang Z. Parietal memory network and default mode network in first-episode drug-naïve schizophrenia: Associations with auditory hallucination. Hum Brain Mapp 2020; 41:1973-1984. [PMID: 32112506 PMCID: PMC7267906 DOI: 10.1002/hbm.24923] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 11/29/2019] [Accepted: 01/01/2020] [Indexed: 12/17/2022] Open
Abstract
Atypical spontaneous activities in resting‐state networks may play a role in auditory hallucinations (AHs), but networks relevant to AHs are not apparent. Given the debating role of the default mode network (DMN) in AHs, a parietal memory network (PMN) may better echo cognitive theories of AHs in schizophrenia, because PMN is spatially adjacent to the DMN and more relevant to memory processing or information integration. To examine whether PMN is more relevant to AHs than DMN, we characterized these intrinsic networks in AHs with 59 first‐episode, drug‐naïve schizophrenics (26 AH+ and 33 AH−) and 60 healthy participants in resting‐state fMRI. We separated the PMN, DMN, and auditory network (AN) using independent component analysis, and compared their functional connectivity across the three groups. We found that only AH+ patients displayed dysconnectivity in PMN, both AH+ and AH− patients exhibited dysfunctions of AN, but neither patient group showed abnormal connectivity within DMN. The connectivity of PMN significantly correlated with memory performance of the patients. Further region‐of‐interest analyses confirmed that the connectivity between the core regions of PMN, the left posterior cingulate gyrus and the left precuneus, was significantly lower only in the AH+ group. In exploratory correlation analysis, this functional connectivity metric significantly correlated with the severity of AH symptoms. The results implicate that compared to the DMN, the PMN is more relevant to the AH symptoms in schizophrenia, and further provides a more precise potential brain modulation target for the intervention of AH symptoms.
Collapse
Affiliation(s)
- Qian Guo
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Department of Early Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Botao Zeng
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanjun Li
- Department of Early Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinhong Wang
- Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Georg Northoff
- University of Ottawa Brain and Mind Research Institute, and Mind Brain Imaging and Neuroethics Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behaviour Science, Shanghai Jiao Tong University, Shanghai, China
| | - Donald Goff
- Department of Psychiatry, New York University School of Medicine, New York, New York
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behaviour Science, Shanghai Jiao Tong University, Shanghai, China
| | - Zhi Yang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behaviour Science, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
9
|
Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. Soft comput 2019. [DOI: 10.1007/s00500-018-3467-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
|
10
|
Abstract
A defining aspect of brain organization is its spatial heterogeneity, which gives rise to multiple topographies at different scales. Brain parcellation - defining distinct partitions in the brain, be they areas or networks that comprise multiple discontinuous but closely interacting regions - is thus fundamental for understanding brain organization and function. The past decade has seen an explosion of in vivo MRI-based approaches to identify and parcellate the brain on the basis of a wealth of different features, ranging from local properties of brain tissue to long-range connectivity patterns, in addition to structural and functional markers. Given the high diversity of these various approaches, assessing the convergence and divergence among these ensuing maps is a challenge. Inter-individual variability adds to this challenge but also provides new opportunities when coupled with cross-species and developmental parcellation studies.
Collapse
|
11
|
Prefrontal neural dynamics in consciousness. Neuropsychologia 2019; 131:25-41. [DOI: 10.1016/j.neuropsychologia.2019.05.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 05/17/2019] [Accepted: 05/20/2019] [Indexed: 12/11/2022]
|
12
|
Differential functional patterns of the human posterior cingulate cortex during activation and deactivation: a meta-analytic connectivity model. Exp Brain Res 2019; 237:2367-2385. [PMID: 31292696 DOI: 10.1007/s00221-019-05595-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 07/02/2019] [Indexed: 12/15/2022]
Abstract
The posterior cingulate cortex (PCC) has been implicated in a host of cognitive and behavioral processes in addition to serving as a central hub in the default mode network (DMN). Moreover, the PCC has been shown to be involved in a range of psychiatric and neurological disorders. However, very little is known about the specific activated/deactivated functional profiles of the PCC. Here, we employed a dual analytic approach using robust quantitative meta-analytical connectivity modeling (MACM) and ultra-high field, high resolution resting state functional magnetic resonance imaging (rs-fMRI) to identify state-specific functional activity patterns of the human PCC. The MACM results provided evidence for regions of convergence for PCC co-activation and co-deactivation (i.e., left medial frontal gyrus, left amygdala, and left anterior cingulate) as well as regions of divergence specific to either PCC activation (i.e., bilateral inferior frontal gyri) or PCC deactivation (i.e., left parahippocampal gyrus). In addition, exploratory MACMs on dorsal and ventral subregions of the PCC revealed differential functional activity patterns such as greater co-activation of the right PCC and left inferior parietal lobule with the dorsal PCC and greater co-activation of right precuneus with the ventral PCC. Resting state connectivity analyses showed widespread connectivity similar to that of the PCC co-activation-based MACM, but also demonstrated additional regions of activity, including bilateral superior parietal regions and right superior temporal regions. These analyses highlight the diverse neurofunctional repertoire of the human PCC, provide additional insight into its dynamic functional activity patterns as it switches between activated and deactivated states, and elucidates the cognitive processes that may be implicated in clinical populations.
Collapse
|
13
|
Park YH, Cha J, Bourakova V, Lee JM. Frequency specific contribution of intrinsic connectivity networks to the integration in brain networks. Sci Rep 2019; 9:4072. [PMID: 30858433 PMCID: PMC6412043 DOI: 10.1038/s41598-019-40699-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 02/22/2019] [Indexed: 01/17/2023] Open
Abstract
Brain networks are integrated and segregated into several intrinsic connectivity networks (ICNs). Frequency specificity of ICNs have been studied to show that different ICNs have a unqiue contribution to brain network integration along frequencies. The purpose of this study was to evaluate the contribution of individual ICN to brain network integration along their frequency. We used 14 ICNs and determined 2 frequency bands (LF1, 0.03~0.08 Hz and LF2, 0.009~0.012 Hz) from the hierarchical clustering of 101 frequency bins. We proposed a novel measure, called ICN efficiency, representing the difference between the global efficiencies of the whole brain network with and without the ICN to evaluate the contribution of the ICN to brain network integration. We found that each ICN had a different ICN efficiency at 2 frequency bands. We also found that the distinct subregions of the same ICN had a frequency specific contribution to brain network integration. Futhermore, the integration with other ICNs of the distinct subregions of the same ICN were different at 2 frequency bands. In conclusion, the contribution of each ICN to brain network integration is frequency specific and distinct subregions of the same ICN have functionally distinct roles with other ICNs at 2 frequency bands.
Collapse
Affiliation(s)
- Yeong-Hun Park
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Jungho Cha
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Viktoriya Bourakova
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea.
| |
Collapse
|
14
|
Gilmore AW, Kalinowski SE, Milleville SC, Gotts SJ, Martin A. Identifying task-general effects of stimulus familiarity in the parietal memory network. Neuropsychologia 2019; 124:31-43. [PMID: 30610842 PMCID: PMC6728150 DOI: 10.1016/j.neuropsychologia.2018.12.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 11/16/2018] [Accepted: 12/30/2018] [Indexed: 12/22/2022]
Abstract
Studies of human memory have implicated a "parietal memory network" in the recognition of familiar stimuli. However, the automatic vs. top-down nature of information processing within this network is not yet understood. If the network processes stimuli automatically, one can expect repetition-related changes both when familiarity is central to an ongoing task and when it is task-irrelevant. Here, we tested this prediction in a group of 40 human subjects using fMRI. Subjects initially named 100 objects aloud in the scanner. They then repeated the same task with novel and previously-named objects intermixed (where familiarity was not task-relevant) and separately were asked to make old/new recognition decisions in response to pictures of novel and previously-named objects (where familiarity was central to task completion). Accuracy was matched across conditions, and voice reaction times reflected typical behavioral priming effects. Repetition enhancement effects were restricted primarily to parietal cortex-and in particular, the parietal memory network-and were task-general in nature, whereas repetition suppression effects were task-dependent and occurred primarily in frontal and ventral temporal cortex. Task context effects were also present in the parietal memory network and impacted responses to both novel and familiar items. We conclude by discussing implications of these findings with respect to current hypotheses regarding parietal contributions to memory retrieval.
Collapse
Affiliation(s)
- Adrian W Gilmore
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, United States.
| | - Sarah E Kalinowski
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, United States
| | - Shawn C Milleville
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, United States
| | - Stephen J Gotts
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, United States
| | - Alex Martin
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, United States
| |
Collapse
|
15
|
Balzekas I, Lewis CP, Shekunov J, Port JD, Worrell GA, Joon Jo H, Croarkin PE. A pilot study of GABA B correlates with resting-state functional connectivity in five depressed female adolescents. Psychiatry Res Neuroimaging 2018; 279:60-63. [PMID: 29886088 PMCID: PMC6449039 DOI: 10.1016/j.pscychresns.2018.05.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 05/29/2018] [Accepted: 05/29/2018] [Indexed: 02/02/2023]
Abstract
Connectivity features based on resting-state (RS) functional magnetic resonance imaging (fMRI) demonstrate great promise as biomarkers to guide diagnosis and treatment in major depressive disorder (MDD). However, there is a pressing need for valid, reliable biomarkers closer to the bedside for clinical research and practice. This study directly compared RS-fMRI connectivity features with transcranial magnetic stimulation (TMS) neurophysiological measures, long interval cortical inhibition (LICI) and cortical silent period (CSP), in female adolescents with MDD. LICI-200 showed the most significant associations with RS functional connectivity features, demonstrating its potential to evaluate the neurochemical underpinnings of network features in MDD.
Collapse
Affiliation(s)
- Irena Balzekas
- Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - Charles P Lewis
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Julia Shekunov
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - John D Port
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA; Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Hang Joon Jo
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
| | - Paul E Croarkin
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
16
|
Caruana F, Gerbella M, Avanzini P, Gozzo F, Pelliccia V, Mai R, Abdollahi RO, Cardinale F, Sartori I, Lo Russo G, Rizzolatti G. Motor and emotional behaviours elicited by electrical stimulation of the human cingulate cortex. Brain 2018; 141:3035-3051. [DOI: 10.1093/brain/awy219] [Citation(s) in RCA: 122] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 07/08/2018] [Indexed: 01/10/2023] Open
Affiliation(s)
- Fausto Caruana
- University of Parma, Department of Medicine and Surgery, Parma, Italy
| | - Marzio Gerbella
- Italian Institute of Technology (IIT), Center for Biomolecular Nanotechnologies, Arnesano, Lecce, Italy
| | | | - Francesca Gozzo
- Claudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca’ Granda, Milan, Italy
| | - Veronica Pelliccia
- University of Parma, Department of Medicine and Surgery, Parma, Italy
- Claudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca’ Granda, Milan, Italy
| | - Roberto Mai
- Claudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca’ Granda, Milan, Italy
| | | | - Francesco Cardinale
- Claudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca’ Granda, Milan, Italy
| | - Ivana Sartori
- Claudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca’ Granda, Milan, Italy
| | - Giorgio Lo Russo
- Claudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca’ Granda, Milan, Italy
| | - Giacomo Rizzolatti
- University of Parma, Department of Medicine and Surgery, Parma, Italy
- CNR Institute of Neuroscience, Parma, Italy
| |
Collapse
|
17
|
Heidbreder A, Stefani A, Brandauer E, Steiger R, Kremser C, Gizewski ER, Young P, Poewe W, Högl B, Scherfler C. Gray matter abnormalities of the dorsal posterior cingulate in sleep walking. Sleep Med 2017; 36:152-155. [DOI: 10.1016/j.sleep.2017.05.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Revised: 04/06/2017] [Accepted: 05/09/2017] [Indexed: 10/19/2022]
|