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  1. Article ; Online: Organization of areal connectivity in the monkey frontoparietal network.

    Conklin, Bryan D / Bressler, Steven L

    NeuroImage

    2021  Volume 241, Page(s) 118414

    Abstract: Activity observed in biological neural networks is determined by anatomical connectivity between cortical areas. The monkey frontoparietal network facilitates cognitive functions, but the organization of its connectivity is unknown. Here, a new ... ...

    Abstract Activity observed in biological neural networks is determined by anatomical connectivity between cortical areas. The monkey frontoparietal network facilitates cognitive functions, but the organization of its connectivity is unknown. Here, a new connectivity matrix is proposed which shows that the network utilizes a small-world architecture and the 3-node M9 motif. Its areas exhibit relatively homogeneous connectivity with no suggestion of the hubs seen in scale-free networks. Crucially, its M9 dynamical relay motif is optimally arranged for near-zero and non-zero phase synchrony to arise in support of cognition, serving as a candidate topological mechanism for previously reported findings. These results can serve as a benchmark to be used in the treatment of neurological disorders where the types of cognition the frontoparietal network supports are impaired.
    MeSH term(s) Animals ; Frontal Lobe/physiology ; Haplorhini ; Macaca/physiology ; Nerve Net/physiology ; Neural Networks, Computer ; Parietal Lobe/physiology ; Species Specificity
    Language English
    Publishing date 2021-07-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2021.118414
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  2. Article: Brain Synchronization and Multivariate Autoregressive (MVAR) Modeling in Cognitive Neurodynamics.

    Bressler, Steven L / Kumar, Ashvin / Singer, Isaac

    Frontiers in systems neuroscience

    2022  Volume 15, Page(s) 638269

    Abstract: This paper is a review of cognitive neurodynamics research as it pertains to recent advances in Multivariate Autoregressive (MVAR) modeling. Long-range synchronization between the frontoparietal network (FPN) and forebrain subcortical systems occurs when ...

    Abstract This paper is a review of cognitive neurodynamics research as it pertains to recent advances in Multivariate Autoregressive (MVAR) modeling. Long-range synchronization between the frontoparietal network (FPN) and forebrain subcortical systems occurs when multiple neuronal actions are coordinated across time (Chafee and Goldman-Rakic, 1998), resulting in large-scale measurable activity in the EEG. This paper reviews the power and advantages of the MVAR method to analyze long-range synchronization between brain regions (Kaminski et al., 2016; Kaminski and Blinowska, 2017). It explores the synchronization expressed in neurocognitive networks that is observable in the local field potential (LFP), an EEG-like signal, and in fMRI time series. In recent years, the surge in MVAR modeling in cognitive neurodynamics experiments has highlighted the effectiveness of the method, particularly in analyzing continuous neural signals such as EEG and fMRI (Pereda et al., 2005). MVAR modeling has been particularly useful in identifying causality, a multichannel time-series measure that can only be consistently computed with multivariate processes. Due to the multivariate nature of neuronal communication, multiple non-linear multivariate-analysis models are successful, presenting results with much greater accuracy and speed than non-linear univariate-analysis methods. Granger's framework provides causal information about neuronal flow using neural time and frequency analysis, comprising the basis of the MVAR model. Recent advancements in MVAR modeling have included Directed Transfer Function (DTF) and Partial Directed Coherence (PDC), multivariate methods based on MVAR modeling that are capable of determining causal influences and directed propagation of EEG activity. The related Granger causality is an increasingly popular tool for measuring directed functional interactions from time series data.
    Language English
    Publishing date 2022-06-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2453005-0
    ISSN 1662-5137
    ISSN 1662-5137
    DOI 10.3389/fnsys.2021.638269
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  3. Article ; Online: Differential medial temporal lobe and default-mode network functional connectivity and morphometric changes in Alzheimer's disease.

    Grajski, Kamil A / Bressler, Steven L

    NeuroImage. Clinical

    2019  Volume 23, Page(s) 101860

    Abstract: We report group level differential detection of medial temporal lobe resting-state functional connectivity disruption and morphometric changes in the transition from cognitively normal to early mild cognitive impairment in an age-, education- and gender- ... ...

    Abstract We report group level differential detection of medial temporal lobe resting-state functional connectivity disruption and morphometric changes in the transition from cognitively normal to early mild cognitive impairment in an age-, education- and gender-matched 105 subjects Alzheimer's Disease Neuroimaging Initiative dataset. In mild Alzheimer's Disease, but not early mild cognitive impairment, characteristic brain atrophy was detected in FreeSurfer estimates of subcortical and hippocampal subfield volumes and cortical thinning. By contrast, functional connectivity analysis detected earlier significant changes. In early mild cognitive impairment these changes involved medial temporal lobe regions of transentorhinal, perirhinal and entorhinal cortices (associated with the earliest stages of neurofibrillary changes in Alzheimer's Disease), hippocampus, parahippocampal gyrus and temporal pole, and cortical regions comprising or co-activated with the default-mode network, including rostral and medial prefrontal cortex, anterior cingulate cortex, precuneus and inferior temporal cortex. Key findings include: a) focal, bilaterally symmetric spatial organization of affected medial temporal lobe regions; b) mutual hyperconnectivity involving ventral medial temporal lobe structures (temporal pole, uncus); c) dorsal medial temporal lobe hypoconnectivity with anterior and posterior midline default-mode network nodes; and d) a complex pattern of transient and persistent changes in hypo- and hyper-connectivity across Alzheimer's Disease stages. These findings position medial temporal lobe resting state functional connectivity as a candidate biomarker of an Alzheimer's Disease pathophysiological cascade, potentially in advance of clinical biomarkers, and coincident with biomarkers of the earliest stages of Alzheimer's neuropathology.
    MeSH term(s) Aged ; Aged, 80 and over ; Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/pathology ; Atrophy/pathology ; Cognitive Dysfunction/diagnostic imaging ; Cognitive Dysfunction/pathology ; Disease Progression ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Nerve Net/diagnostic imaging ; Nerve Net/pathology ; Neuroimaging/methods ; Temporal Lobe/diagnostic imaging ; Temporal Lobe/pathology
    Language English
    Publishing date 2019-05-18
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2701571-3
    ISSN 2213-1582 ; 2213-1582
    ISSN (online) 2213-1582
    ISSN 2213-1582
    DOI 10.1016/j.nicl.2019.101860
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  4. Article ; Online: The function of neurocognitive networks. Comment on "Understanding brain networks and brain organization" by Pessoa.

    Bressler, Steven L

    Physics of life reviews

    2014  Volume 11, Issue 3, Page(s) 438–439

    MeSH term(s) Algorithms ; Animals ; Brain/anatomy & histology ; Brain/physiology ; Humans ; Nerve Net/anatomy & histology ; Nerve Net/physiology
    Language English
    Publishing date 2014-09
    Publishing country Netherlands
    Document type Comment ; Journal Article
    ZDB-ID 2148883-6
    ISSN 1873-1457 ; 1571-0645
    ISSN (online) 1873-1457
    ISSN 1571-0645
    DOI 10.1016/j.plrev.2014.06.004
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  5. Article ; Online: Reply to comments on "Foundational perspectives on causality in large-scale brain networks".

    Mannino, Michael / Bressler, Steven L

    Physics of life reviews

    2015  Volume 15, Page(s) 148–152

    MeSH term(s) Brain ; Humans ; Nerve Net
    Language English
    Publishing date 2015-12
    Publishing country Netherlands
    Document type Comment ; Journal Article
    ZDB-ID 2148883-6
    ISSN 1873-1457 ; 1571-0645
    ISSN (online) 1873-1457
    ISSN 1571-0645
    DOI 10.1016/j.plrev.2015.11.005
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  6. Book ; Thesis: SPATIO-TEMPORAL ANALYSIS OF OLFACTORY SIGNAL PROCESSING WITH BEHAVIORAL CONDITIONING

    BRESSLER, STEVEN L.

    1982  

    Author's details STEVEN LANDIS BRESSLER
    Size IV, 204 P.
    Document type Book ; Thesis
    Thesis / German Habilitation thesis BERKELEY, UNIV. OF CALIFORNIA, DISS., 1982
    HBZ-ID HT002726871
    Database Catalogue ZB MED Medicine, Health

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    85 D 1719 order for loan Magazin

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  7. Article ; Online: Top-down beta oscillatory signaling conveys behavioral context in early visual cortex.

    Richter, Craig G / Coppola, Richard / Bressler, Steven L

    Scientific reports

    2018  Volume 8, Issue 1, Page(s) 6991

    Abstract: Top-down modulation of sensory processing is a critical neural mechanism subserving numerous important cognitive roles, one of which may be to inform lower-order sensory systems of the current 'task at hand' by conveying behavioral context to these ... ...

    Abstract Top-down modulation of sensory processing is a critical neural mechanism subserving numerous important cognitive roles, one of which may be to inform lower-order sensory systems of the current 'task at hand' by conveying behavioral context to these systems. Accumulating evidence indicates that top-down cortical influences are carried by directed interareal synchronization of oscillatory neuronal populations, with recent results pointing to beta-frequency oscillations as particularly important for top-down processing. However, it remains to be determined if top-down beta-frequency oscillations indeed convey behavioral context. We measured spectral Granger Causality (sGC) using local field potentials recorded from microelectrodes chronically implanted in visual areas V1/V2, V4, and TEO of two rhesus macaque monkeys, and applied multivariate pattern analysis to the spatial patterns of top-down sGC. We decoded behavioral context by discriminating patterns of top-down (V4/TEO-to-V1/V2) beta-peak sGC for two different task rules governing correct responses to identical visual stimuli. The results indicate that top-down directed influences are carried to visual cortex by beta oscillations, and differentiate task demands even before visual stimulus processing. They suggest that top-down beta-frequency oscillatory processes coordinate processing of sensory information by conveying global knowledge states to early levels of the sensory cortical hierarchy independently of bottom-up stimulus-driven processing.
    MeSH term(s) Animals ; Attention ; Behavior, Animal ; Beta Rhythm ; Macaca mulatta ; Psychomotor Performance ; Visual Cortex/physiology ; Visual Perception
    Language English
    Publishing date 2018-05-03
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-018-25267-1
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  8. Article ; Online: Differential medial temporal lobe and default-mode network functional connectivity and morphometric changes in Alzheimer's disease

    Kamil A. Grajski / Steven L. Bressler

    NeuroImage: Clinical, Vol 23, Iss , Pp - (2019)

    2019  

    Abstract: We report group level differential detection of medial temporal lobe resting-state functional connectivity disruption and morphometric changes in the transition from cognitively normal to early mild cognitive impairment in an age-, education- and gender- ... ...

    Abstract We report group level differential detection of medial temporal lobe resting-state functional connectivity disruption and morphometric changes in the transition from cognitively normal to early mild cognitive impairment in an age-, education- and gender-matched 105 subjects Alzheimer's Disease Neuroimaging Initiative dataset. In mild Alzheimer's Disease, but not early mild cognitive impairment, characteristic brain atrophy was detected in FreeSurfer estimates of subcortical and hippocampal subfield volumes and cortical thinning. By contrast, functional connectivity analysis detected earlier significant changes. In early mild cognitive impairment these changes involved medial temporal lobe regions of transentorhinal, perirhinal and entorhinal cortices (associated with the earliest stages of neurofibrillary changes in Alzheimer's Disease), hippocampus, parahippocampal gyrus and temporal pole, and cortical regions comprising or co-activated with the default-mode network, including rostral and medial prefrontal cortex, anterior cingulate cortex, precuneus and inferior temporal cortex. Key findings include: a) focal, bilaterally symmetric spatial organization of affected medial temporal lobe regions; b) mutual hyperconnectivity involving ventral medial temporal lobe structures (temporal pole, uncus); c) dorsal medial temporal lobe hypoconnectivity with anterior and posterior midline default-mode network nodes; and d) a complex pattern of transient and persistent changes in hypo- and hyper-connectivity across Alzheimer's Disease stages. These findings position medial temporal lobe resting state functional connectivity as a candidate biomarker of an Alzheimer's Disease pathophysiological cascade, potentially in advance of clinical biomarkers, and coincident with biomarkers of the earliest stages of Alzheimer's neuropathology. Keywords: Hippocampus, Medial temporal lobe, Hyperconnectivity, Hypoconnectivity
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurology. Diseases of the nervous system ; RC346-429
    Subject code 150
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Interareal oscillatory synchronization in top-down neocortical processing.

    Bressler, Steven L / Richter, Craig G

    Current opinion in neurobiology

    2015  Volume 31, Page(s) 62–66

    Abstract: Top-down processing in the neocortex underlies important cognitive functions such as predictive coding and attentional set. We review evidence indicating that top-down neocortical processes are carried by interareal synchrony, particularly in the beta ... ...

    Abstract Top-down processing in the neocortex underlies important cognitive functions such as predictive coding and attentional set. We review evidence indicating that top-down neocortical processes are carried by interareal synchrony, particularly in the beta frequency band. We hypothesize that top-down neocortical signals in the beta band convey behavioral context to low-level sensory neurons. We further speculate that large-scale distributed networks, self-organized at the highest hierarchical levels, are the source of top-down signals in the neocortex.
    MeSH term(s) Animals ; Beta Rhythm/physiology ; Cortical Synchronization/physiology ; Electroencephalography ; Humans ; Neocortex/physiology ; Nerve Net/physiology
    Language English
    Publishing date 2015-04
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1078046-4
    ISSN 1873-6882 ; 0959-4388
    ISSN (online) 1873-6882
    ISSN 0959-4388
    DOI 10.1016/j.conb.2014.08.010
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  10. Article ; Online: Granger-Geweke causality: Estimation and interpretation.

    Dhamala, Mukesh / Liang, Hualou / Bressler, Steven L / Ding, Mingzhou

    NeuroImage

    2018  Volume 175, Page(s) 460–463

    Abstract: In a recent PNAS ... ...

    Abstract In a recent PNAS article
    MeSH term(s) Computer Simulation ; Humans ; Models, Statistical ; Neuroimaging/methods
    Language English
    Publishing date 2018-04-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2018.04.043
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