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Book: Angelo Mosso's circulation of blood in the human brain

Mosso, Angelo / Raichle, Marcus E. / Shepherd, Gordon M.

2014

Title variant	Circulation of blood in the human brain
Author's details	ed., with commentary, by Marcus E. Raichle ; Gordon M. Shepherd. Translation by Christiane Nockels Fabbri
Keywords	Cerebrovascular Circulation / physiology ; Brain / blood supply
Language	English
Size	XXXII, 202 S. : Ill., graph. Darst.
Publisher	Oxford Univ. Press
Publishing place	Oxford u.a.
Publishing country	Great Britain
Document type	Book
Note	Aus dem Ital. übers.
HBZ-ID	HT018473748
ISBN	978-0-19-935898-4 ; 0-19-935898-2
Database	Catalogue ZB MED Medicine, Health

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2014 A 4500	available for loan (reading room)	Lesesaal EG

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Article ; Online: Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression.

Mitra, Anish / Raichle, Marcus E / Geoly, Andrew D / Kratter, Ian H / Williams, Nolan R

Proceedings of the National Academy of Sciences of the United States of America

2023 Volume 120, Issue 21, Page(s) e2218958120

Abstract: Major depressive disorder (MDD) is widely hypothesized to result from disordered communication across brain-wide networks. Yet, prior resting-state-functional MRI (rs-fMRI) studies of MDD have studied zero-lag temporal synchrony (functional connectivity) ...

Abstract	Major depressive disorder (MDD) is widely hypothesized to result from disordered communication across brain-wide networks. Yet, prior resting-state-functional MRI (rs-fMRI) studies of MDD have studied zero-lag temporal synchrony (functional connectivity) in brain activity absent directional information. We utilize the recent discovery of stereotyped brain-wide directed signaling patterns in humans to investigate the relationship between directed rs-fMRI activity, MDD, and treatment response to FDA-approved neurostimulation paradigm termed Stanford neuromodulation therapy (SNT). We find that SNT over the left dorsolateral prefrontal cortex (DLPFC) induces directed signaling shifts in the left DLPFC and bilateral anterior cingulate cortex (ACC). Directional signaling shifts in the ACC, but not the DLPFC, predict improvement in depression symptoms, and moreover, pretreatment ACC signaling predicts both depression severity and the likelihood of SNT treatment response. Taken together, our findings suggest that ACC-based directed signaling patterns in rs-fMRI are a potential biomarker of MDD.
MeSH term(s)	Humans ; Depressive Disorder, Major/diagnostic imaging ; Depressive Disorder, Major/therapy ; Depression ; Magnetic Resonance Imaging ; Brain/diagnostic imaging ; Gyrus Cinguli/diagnostic imaging ; Prefrontal Cortex/diagnostic imaging
Language	English
Publishing date	2023-05-15
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2218958120
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Article: The Role of the Human Brain Neuron-Glia-Synapse Composition in Forming Resting-State Functional Connectivity Networks.

Kahali, Sayan / Raichle, Marcus E / Yablonskiy, Dmitriy A

Brain sciences

2021 Volume 11, Issue 12

Abstract: While significant progress has been achieved in studying resting-state functional networks in a healthy human brain and in a wide range of clinical conditions, many questions related to their relationship to the brain's cellular constituents remain. Here, ...

Abstract	While significant progress has been achieved in studying resting-state functional networks in a healthy human brain and in a wide range of clinical conditions, many questions related to their relationship to the brain's cellular constituents remain. Here, we use quantitative Gradient-Recalled Echo (qGRE) MRI for mapping the human brain cellular composition and BOLD (blood-oxygen level-dependent) MRI to explore how the brain cellular constituents relate to resting-state functional networks. Results show that the BOLD signal-defined synchrony of connections between cellular circuits in network-defined individual functional units is mainly associated with the regional neuronal density, while the between-functional units' connectivity strength is also influenced by the glia and synaptic components of brain tissue cellular constituents. These mechanisms lead to a rather broad distribution of resting-state functional network properties. Visual networks with the highest neuronal density (but lowest density of glial cells and synapses) exhibit the strongest coherence of the BOLD signal as well as the strongest intra-network connectivity. The Default Mode Network (DMN) is positioned near the opposite part of the spectrum with relatively low coherence of the BOLD signal but with a remarkably balanced cellular contents, enabling DMN to have a prominent role in the overall organization of the brain and hierarchy of functional networks.
Language	English
Publishing date	2021-11-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2651993-8
ISSN	2076-3425
ISSN	2076-3425
DOI	10.3390/brainsci11121565
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Article ; Online: The brain's default mode network.

Raichle, Marcus E

Annual review of neuroscience

2015 Volume 38, Page(s) 433–447

Abstract: The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its ... ...

Abstract	The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its discovery was an unexpected consequence of brain-imaging studies first performed with positron emission tomography in which various novel, attention-demanding, and non-self-referential tasks were compared with quiet repose either with eyes closed or with simple visual fixation. The default mode network consistently decreases its activity when compared with activity during these relaxed nontask states. The discovery of the default mode network reignited a longstanding interest in the significance of the brain's ongoing or intrinsic activity. Presently, studies of the brain's intrinsic activity, popularly referred to as resting-state studies, have come to play a major role in studies of the human brain in health and disease. The brain's default mode network plays a central role in this work.
MeSH term(s)	Animals ; Brain/physiology ; Humans ; Neural Pathways/physiology ; Rest/physiology
Language	English
Publishing date	2015-07-08
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	282459-0
ISSN	1545-4126 ; 0147-006X
ISSN (online)	1545-4126
ISSN	0147-006X
DOI	10.1146/annurev-neuro-071013-014030
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Article ; Online: The restless brain: how intrinsic activity organizes brain function.

Raichle, Marcus E

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

2015 Volume 370, Issue 1668

Abstract: Traditionally studies of brain function have focused on task-evoked responses. By their very nature such experiments tacitly encourage a reflexive view of brain function. While such an approach has been remarkably productive at all levels of neuroscience, ...

Abstract	Traditionally studies of brain function have focused on task-evoked responses. By their very nature such experiments tacitly encourage a reflexive view of brain function. While such an approach has been remarkably productive at all levels of neuroscience, it ignores the alternative possibility that brain functions are mainly intrinsic and ongoing, involving information processing for interpreting, responding to and predicting environmental demands. I suggest that the latter view best captures the essence of brain function, a position that accords well with the allocation of the brain's energy resources, its limited access to sensory information and a dynamic, intrinsic functional organization. The nature of this intrinsic activity, which exhibits a surprising level of organization with dimensions of both space and time, is revealed in the ongoing activity of the brain and its metabolism. As we look to the future, understanding the nature of this intrinsic activity will require integrating knowledge from cognitive and systems neuroscience with cellular and molecular neuroscience where ion channels, receptors, components of signal transduction and metabolic pathways are all in a constant state of flux. The reward for doing so will be a much better understanding of human behaviour in health and disease.
MeSH term(s)	Brain/anatomy & histology ; Brain/physiology ; Brain Mapping/methods ; Electroencephalography ; Energy Metabolism/physiology ; Humans ; Nerve Net/physiology ; Signal Transduction/physiology
Language	English
Publishing date	2015-03-30
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Review
ZDB-ID	208382-6
ISSN	1471-2970 ; 0080-4622 ; 0264-3839 ; 0962-8436
ISSN (online)	1471-2970
ISSN	0080-4622 ; 0264-3839 ; 0962-8436
DOI	10.1098/rstb.2014.0172
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Article ; Online: Glucose Requirements of the Developing Human Brain.

Goyal, Manu S / Raichle, Marcus E

Journal of pediatric gastroenterology and nutrition

2018 Volume 66 Suppl 3, Page(s) S46–S49

Abstract: Adequate nutrition is critical for human brain development, which depends particularly upon glucose. The adult human brain accounts for 20% to 25% of total body resting glucose consumption, and studies indicate that the developing brain requires an even ... ...

Abstract	Adequate nutrition is critical for human brain development, which depends particularly upon glucose. The adult human brain accounts for 20% to 25% of total body resting glucose consumption, and studies indicate that the developing brain requires an even greater percentage of glucose. Here we critically review the currently available data on glucose requirements for early childhood brain development. Implications of these findings are then discussed in the context of childhood malnutrition and future areas of investigation.
MeSH term(s)	Brain/growth & development ; Brain/metabolism ; Child ; Child Development/physiology ; Glucose/administration & dosage ; Glucose/metabolism ; Humans ; Nutritional Requirements
Chemical Substances	Glucose (IY9XDZ35W2)
Language	English
Publishing date	2018-05-15
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	603201-1
ISSN	1536-4801 ; 0277-2116
ISSN (online)	1536-4801
ISSN	0277-2116
DOI	10.1097/MPG.0000000000001875
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Article ; Online: Principles of cross-network communication in human resting state fMRI.

Mitra, Anish / Raichle, Marcus E

Scandinavian journal of psychology

2018 Volume 59, Issue 1, Page(s) 83–90

Abstract: ... directional communication between the two networks occurs via their earliest elements (i.e ...

Abstract	Directed signaling among and within the large-scale networks of the human brain is functionally critical. Recent advances in our understanding of spontaneous fluctuations of the fMRI BOLD signal have provided strategies to study the spatial-temporal properties of directed signaling at infra-slow frequencies. Herein we explore the relationship between two canonical systems of the human brain, the default mode network (DMN) and the dorsal attention network (DAN) whose anti-correlated relationship is well known but poorly understood. We find that within the DMN, activity moves from retrosplenial to prefrontal cortex whereas in the DAN activity moves from the frontal eye fields to the parietal cortex. Bi-directional communication between the two networks occurs via their earliest elements (i.e., from the retrosplenial cortex of the DMN to the frontal eye fields of the DAN). This framework for network communication appears to generalize across all networks providing an expanded basis for understanding human brain function.
MeSH term(s)	Adult ; Attention/physiology ; Brain/physiology ; Brain Mapping ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Models, Neurological ; Neural Pathways/physiology ; Young Adult
Language	English
Publishing date	2018-01-21
Publishing country	England
Document type	Journal Article
ZDB-ID	219197-0
ISSN	1467-9450 ; 0036-5564
ISSN (online)	1467-9450
ISSN	0036-5564
DOI	10.1111/sjop.12422
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Book: New views of cognition

Raichle, Marcus E.

(... short course ... syllabus / Society for Neuroscience ; 1993. Washington D.C., November 7, 1993, 2)

1993

Author's details	[Marcus Raichle, organizer]
Series title	... short course ... syllabus / Society for Neuroscience ; 1993. Washington D.C., November 7, 1993, 2 Shourt course / Society for Neuroscience
Collection	Shourt course / Society for Neuroscience
Keywords	Neurosciences / methods / congresses ; Mental Processes / congresses ; Diagnostic Imaging / congresses
Language	English
Size	V, 69 S. : Ill.
Publishing place	Washington, D.C
Publishing country	United States
Document type	Book
HBZ-ID	HT006500824
Database	Catalogue ZB MED Medicine, Health

In stock of ZB MED Cologne/Königswinter

Shelf mark	Loan status	Location
1995 A 845	order for loan	Magazin

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Article ; Online: Hierarchical dynamics as a macroscopic organizing principle of the human brain.

Raut, Ryan V / Snyder, Abraham Z / Raichle, Marcus E

Proceedings of the National Academy of Sciences of the United States of America

2020 Volume 117, Issue 34, Page(s) 20890–20897

Abstract: ... in these regions also plays out over relatively slow timescales (i.e., exhibits slower temporal autocorrelation ...

Abstract	Multimodal evidence suggests that brain regions accumulate information over timescales that vary according to anatomical hierarchy. Thus, these experimentally defined "temporal receptive windows" are longest in cortical regions that are distant from sensory input. Interestingly, spontaneous activity in these regions also plays out over relatively slow timescales (i.e., exhibits slower temporal autocorrelation decay). These findings raise the possibility that hierarchical timescales represent an intrinsic organizing principle of brain function. Here, using resting-state functional MRI, we show that the timescale of ongoing dynamics follows hierarchical spatial gradients throughout human cerebral cortex. These intrinsic timescale gradients give rise to systematic frequency differences among large-scale cortical networks and predict individual-specific features of functional connectivity. Whole-brain coverage permitted us to further investigate the large-scale organization of subcortical dynamics. We show that cortical timescale gradients are topographically mirrored in striatum, thalamus, and cerebellum. Finally, timescales in the hippocampus followed a posterior-to-anterior gradient, corresponding to the longitudinal axis of increasing representational scale. Thus, hierarchical dynamics emerge as a global organizing principle of mammalian brains.
MeSH term(s)	Adult ; Brain/physiology ; Brain Mapping/methods ; Cerebral Cortex/physiology ; Corpus Striatum/physiology ; Databases, Factual ; Female ; Gray Matter/physiology ; Hippocampus/physiology ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Neural Pathways/physiology ; Rest/physiology ; Time Factors
Language	English
Publishing date	2020-08-12
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2003383117
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Article ; Online: Probabilistic flow in brain-wide activity.

Mitra, Anish / Snyder, Abraham Z / Raichle, Marcus E

NeuroImage

2020 Volume 223, Page(s) 117321

Abstract: Patterns of low frequency brain-wide activity have drawn attention across multiple disciplines in neuroscience. Brain-wide activity patterns are often described through correlations, which capture concurrent increases and decreases in neural activity. ... ...

Abstract	Patterns of low frequency brain-wide activity have drawn attention across multiple disciplines in neuroscience. Brain-wide activity patterns are often described through correlations, which capture concurrent increases and decreases in neural activity. More recently, several groups have described reproducible temporal sequences across the brain, illustrating precise long-distance control over the timing of low frequency activity. Features of correlation and temporal organization both point to a systems-level structure of brain activity consisting of large-scale networks and their mutual interactions. Yet a unified view for understanding large networks and their interactions remains elusive. Here, we propose a framework for computing probabilistic flow in brain-wide activity. We demonstrate how flow probabilities are modulated across rest and task states and show that the probabilistic perspective captures both intra- and inter-network dynamics. Finally, we suggest that a probabilistic framework may prove fruitful in characterizing low frequency brain-wide activity in health and disease.
MeSH term(s)	Adult ; Brain/physiology ; Brain Mapping/methods ; Female ; Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging ; Male ; Models, Statistical ; Neural Pathways/physiology ; Signal Processing, Computer-Assisted ; Young Adult
Language	English
Publishing date	2020-09-01
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.2020.117321
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