Lifespan HCP-Development (ages 5-21) and HCP-Aging (ages 36-100+) data
English
the Human Connectome Project

数据描述

Lifespan HCP-Development (ages 5-21) and HCP-Aging (ages 36-100+) data

ConnectomeDB is a platform providing access to datasets from the Human Connectome Project (HCP), allowing users to explore and download data related to brain connectivity. The HCP's public releases include neuroimaging and genetic data, with specific collections focusing on lifespan development (ages 5-21) and aging (36-100+). These datasets are available through the NIMH Data Archive (NDA), requiring a simple sign-on process to access. ConnectomeDB facilitates research in neuroscience by offering tools for accessing and analyzing HCP data, with user accounts free to create while adhering to privacy policies that ensure confidentiality.

db.humanconnectome.org
IP: 128.252.217.126
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相关论文

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Golia ShafieiBen D. FulcherBradley VoytekTheodore D. SatterthwaiteSylvain Baillet6
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2023
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Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural activity, which can be captured by neurophysiological time-series. How spontaneous neurophysiological dynamics are organized across the cortex and how they ar...
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10.1038/S41467-023-41689-6
ISSN:2041-1723

Decoupling of neurophysiological activity from structure mirrors global microarchitectural and neuromodulatory trends

Massimiliano FaccaAlessandra Del FeliceAlessandra Bertoldo
Communications Biology
2026
2026/4/10
Vol.9 No.1 p.5200
The brain’s functional activity is shaped by the complex architecture of its fibers. Yet, the lack of a direct one-to-one mapping between functional and structural connections makes this relationship elusive. To date, most studies on structure–function coupling (SFC) have conceptualized function in ...
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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

Reinder Vos de WaelOualid BenkarimCasey PaquolaSara LariviereJessica Royer15
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2020/3/5
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Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape. Recent work established that macroscale brain organization and function can be described in a compact manner with multivariate machine l...
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Towards a general-purpose foundation model for functional MRI analysis

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Nature Biomedical Engineering
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2026/4/23
00 p.1-12
Functional magnetic resonance imaging (fMRI) is crucial for studying brain function and diagnosing neurological disorders. However, existing analysis methods suffer from reproducibility and transferability challenges due to complex preprocessing pipelines and task-specific model designs. Here we int...
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Over the past two decades, the study of resting-state functional magnetic resonance imaging has revealed that functional connectivity within and between networks is linked to cognitive states and pathologies. However, the white matter connections supporting this connectivity remain only partially de...
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Nature Neuroscience
2022
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Neurotransmitter receptors support the propagation of signals in the human brain. How receptor systems are situated within macro-scale neuroanatomy and how they shape emergent function remain poorly understood, and there exists no comprehensive atlas of receptors. Here we collate positron emission t...
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Nature Communications
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The study of cortical geometry and connectivity is prevalent in human brain research. However, these two aspects of brain structure are usually examined separately, leaving the essential connections between the brain’s folding patterns and white matter connectivity unexplored. In this study, we aim ...
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Dissecting tumor microenvironment from spatially resolved transcriptomics data by heterogeneous graph learning

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Spatially resolved transcriptomics (SRT) has enabled precise dissection of tumor-microenvironment (TME) by analyzing its intracellular molecular networks and intercellular cell-cell communication (CCC). However, lacking computational exploration of complicated relations between cells, genes, and his...
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The neuroimaging correlates of depression established across six large-scale population datasets

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Nature Mental Health
2026
2026/7/13
00 p.1-13
Depression has been linked to reduced size of subcortical regions and abnormal functional connectivity in frontal and default mode networks. However, recent meta-analyses have failed to identify significant converging correlates of depression across the literature such that a conclusive mapping of t...
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10.1038/S44220-026-00680-Y
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Altered brain activity in unipolar depression unveiled using connectomics

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Nature Mental Health
2023
2023/3/22
Vol.1 No.3 p.174-185
Over 20 years of neuroimaging experiments into aberrant task-based brain activity in unipolar depression have failed to reliably delineate a convergent set of anatomical regions. Here we examined whether study-derived coordinates might delineate a dysfunctional brain network in unipolar depression r...
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10.1038/S44220-023-00038-8
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A function-based mapping of sensory integration along the cortical hierarchy

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Communications Biology
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10.1038/S42003-024-07224-Z
ISSN:2399-3642

Local molecular and global connectomic contributions to cross-disorder cortical abnormalities

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Nature Communications
2022
2022/8/10
Vol.13 No.1 p.1-17
Numerous brain disorders demonstrate structural brain abnormalities, which are thought to arise from molecular perturbations or connectome miswiring. The unique and shared contributions of these molecular and connectomic vulnerabilities to brain disorders remain unknown, and has yet to be studied in...
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10.1038/S41467-022-32420-Y
ISSN:2041-1723

Dynamic causal brain circuits during working memory and their functional controllability

Weidong CaiSrikanth RyaliRamkrishna PasumarthyViswanath TalasilaVinod Menon
Nature Communications
2021
2021/6/29
Vol.12 No.1 p.1-16
Control processes associated with working memory play a central role in human cognition, but their underlying dynamic brain circuit mechanisms are poorly understood. Here we use system identification, network science, stability analysis, and control theory to probe functional circuit dynamics during...
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10.1038/S41467-021-23509-X
ISSN:2041-1723

Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains

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Communications Biology
2024
2024/1/24
Vol.7 No.1 p.1-14
Previous studies have adopted an edge-centric framework to study fine-scale network dynamics in human fMRI. To date, however, no studies have applied this framework to data collected from model organisms. Here, we analyze structural and functional imaging data from lightly anesthetized mice thr...
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10.1038/S42003-024-05766-W
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The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow

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Nature Neuroscience
2025
2025/1/28
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The default mode network (DMN) is implicated in many aspects of complex thought and behavior. Here, we leverage postmortem histology and in vivo neuroimaging to characterize the anatomy of the DMN to better understand its role in information processing and cortical communication. Our results show th...
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Evan CollinsOmar ChishtiSami ObaidHari McGrathAlex King11
Nature Communications
2024
2024/8/16
Vol.15 No.1 p.1-15
Functional coactivation between human brain regions is partly explained by white matter connections; however, how the structure-function relationship varies by function remains unclear. Here, we reference large data repositories to compute maps of structure-function correspondence across hundreds of...
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Personality traits vary in their association with brain activity across situations

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Communications Biology
2024
2024/11/12
Vol.7 No.1 p.1-8
Human cognition supports complex behaviour across a range of situations, and traits (e.g. personality) influence how we react in these different contexts. Although viewing traits as situationally grounded is common in social sciences, often studies attempting to link brain activity to human traits e...
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Parameterizing neural power spectra into periodic and aperiodic components

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Nature Neuroscience
2020
2020/11/23
Vol.23 No.12 p.1655-1665
Electrophysiological signals exhibit both periodic and aperiodic properties. Periodic oscillations have been linked to numerous physiological, cognitive, behavioral and disease states. Emerging evidence demonstrates that the aperiodic component has putative physiological interpretations and that it ...
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10.1038/S41593-020-00744-X
ISSN:1097-6256

Major depressive disorder on a neuromorphic continuum

Jiao LiZhiliang LongGong-Jun JiShaoqiang HanYuan Chen13
Nature Communications
2025
2025/3/11
Vol.16 No.1 p.1-13
The heterogeneity of major depressive disorder (MDD) has hindered clinical translation and neuromarker identification. Biotyping facilitates solving the problems of heterogeneity, by dissecting MDD patients into discrete subgroups. However, interindividual variations suggest that depression may be c...
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Associations between fMRI signal amplitude, hemispheric asymmetry, and task performance

Dardo TomasiNora D. Volkow
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2025
2025/10/8
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Interhemispheric asymmetry is a core feature of human brain organization, yet its functional relevance across cognitive tasks remains incompletely understood. Using data from 989 healthy adults, we examined patterns of functional asymmetry and their relationship to bilateral fMRI signal amplitude an...
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Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis

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Molecular Psychiatry
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Neuroimaging studies have provided valuable insights into the macroscale impacts of antidepressants on brain functions in patients with major depressive disorder. However, the findings of individual studies are inconsistent. Here, we aimed to provide a quantitative synthesis of the literature to ide...
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Optical coherent dot-product chip for sophisticated deep learning regression

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Light: Science & Applications
2021
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Optical implementations of neural networks (ONNs) herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large bandwidth and high parallelism of optics. However, due to the problems of the incomplete numerical domain, limited hard...
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A cortical surface template for human neuroscience

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00 p.1-7
Neuroimaging data analysis relies on normalization to standard anatomical templates to resolve macroanatomical differences across brains. Existing human cortical surface templates sample locations unevenly because of distortions introduced by inflation of the folded cortex into a standard shape. Her...
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Inferring neural signalling directionality from undirected structural connectomes

Caio SeguinAdeel RaziAndrew Zalesky
Nature Communications
2019
2019/9/19
Vol.10 No.1 p.1-13
Neural information flow is inherently directional. To date, investigation of directional communication in the human structural connectome has been precluded by the inability of non-invasive neuroimaging methods to resolve axonal directionality. Here, we demonstrate that decentralized measures of net...
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10.1038/S41467-019-12201-W
ISSN:2041-1723

Representational differentiation and integration within the hippocampal circuit during naturalistic stimuli

Lili SunQiuyi LiuSiyang LiWencai DingZhipeng Li8
Communications Biology
2026
2026/1/28
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The hippocampus is essential for transforming dynamic experiences into structured knowledge, forming internal models of the world that guide planning, decision-making, and behavior. Recent research has demonstrated that complementary hippocampal mechanisms—specifically, the differentiation of distin...
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Gene transcription, neurotransmitter, and neurocognition signatures of brain structural-functional coupling variability

Lin JiangSarah GenonJiayu YeYan ZhuGuangying Wang13
Nature Communications
2025
2025/8/15
Vol.16 No.1 p.1-18
The relationship between brain structure and function, known as structural-functional coupling (SFC), is highly dynamic. However, the temporal variability of this relationship, referring to the fluctuating extent to which functional profiles interact with anatomy over time, remains poorly elucidated...
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Covariance patterns between sleep health domains and distributed intrinsic functional connectivity

Yulin WangSarah GenonDebo DongFeng ZhouChenyu Li12
Nature Communications
2023
2023/11/6
Vol.14 No.1 p.1-16
Sleep health is both conceptually and operationally a composite concept containing multiple domains of sleep. In line with this, high dependence and interaction across different domains of sleep health encourage a transition in sleep health research from categorical to dimensional approaches that in...
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Heritability and interindividual variability of regional structure-function coupling

Gu ZijinJamison Keith WakefieldSabuncu Mert RoryKuceyeski Amy
Nature Communications
2021
2021/8/12
Vol.12 No.1 p.1-12
White matter structural connections are likely to support flow of functional activation or functional connectivity. While the relationship between structural and functional connectivity profiles, here called SC-FC coupling, has been studied on a whole-brain, global level, few studies have investigat...
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ISSN:2041-1723

Rethinking functional brain connectome analysis: do graph deep learning models Help

Keqi HanYao SuLifang HeLiang ZhanSergey Plis7
Npj Artificial Intelligence
2026
2026/2/2
Vol.2 No.1 p.190
Graph deep learning models, a class of AI-driven approaches employing a message aggregation mechanism, have gained popularity for analyzing the functional brain connectome in neuroimaging. However, their actual effectiveness remains unclear. In this study, we re-examine graph deep learning versus cl...
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10.1038/S44387-025-00067-X
ISSN:3005-1460

Transcriptomic and macroscopic architectures of intersubject functional variability in human brain white-matter

Li JiaoWu Guo-RongLi BingFan FeiyangZhao Xiaopeng11
Communications Biology
2021
2021/12/20
Vol.4 No.1 p.1-14
Intersubject variability is a fundamental characteristic of brain organizations, and not just “noise”. Although intrinsic functional connectivity (FC) is unique to each individual and varies across brain gray-matter, the underlying mechanisms of intersubject functional variability in white-matter (W...
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10.1038/S42003-021-02952-Y
ISSN:2399-3642

Flexible adaptation of task-positive brain networks predicts efficiency of evidence accumulation

Alexander WeigardMike AngstadtAman TaxaliAndrew HeathcoteMary M. Heitzeg6
Communications Biology
2024
2024/7/2
Vol.7 No.1 p.1-13
Efficiency of evidence accumulation (EEA), an individual’s ability to selectively gather goal-relevant information to make adaptive choices, is thought to be a key neurocomputational mechanism associated with cognitive functioning and transdiagnostic risk for psychopathology. However, the neural bas...
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10.1038/S42003-024-06506-W
ISSN:2399-3642

Genetic influences on hub connectivity of the human connectome

Arnatkeviciute AurinaFulcher Ben D.Oldham StuartTiego JegganPaquola Casey15
Nature Communications
2021
2021/7/9
Vol.12 No.1 p.1-14
Brain network hubs are both highly connected and highly inter-connected, forming a critical communication backbone for coherent neural dynamics. The mechanisms driving this organization are poorly understood. Using diffusion-weighted magnetic resonance imaging in twins, we identify a major role for ...
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10.1038/S41467-021-24306-2
ISSN:2041-1723

Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex

Panagiotis FotiadisMatthew CieslakXiaosong HeLorenzo CaciagliMathieu Ouellet8
Nature Communications
2023
2023/9/30
Vol.14 No.1 p.1-21
Recent work has demonstrated that the relationship between structural and functional connectivity varies regionally across the human brain, with reduced coupling emerging along the sensory-association cortical hierarchy. The biological underpinnings driving this expression, however, remain largely u...
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10.1038/S41467-023-41686-9
ISSN:2041-1723

Spontaneous brain regional dynamics contribute to generalizable brain–behaviour associations

Xiaohan TianYingjie PengShu LiuGolia ShafieiMeng Wang20
Nature Human Behaviour
2025
2025/10/30
00 p.1-19
Spontaneous brain activity is fundamental to understanding the neural basis of inter-individual differences, making its characterization central to brain-wide association studies. While inter-regional coupling patterns have been extensively studied, intra-regional dynamics remain largely unexplored....
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10.1038/S41562-025-02332-0
ISSN:2397-3374

The spatial layout of antagonistic brain regions is explicable based on geometric principles

Robert LeechRodrigo M. BragaDavid HaydockNicholas VowlesElizabeth Jefferies13
Communications Biology
2025
2025/6/7
Vol.8 No.1 p.1-11
Brain activity emerges in a dynamic landscape of regional increases and decreases that span the cortex. Increases in activity during a cognitive task are often assumed to reflect the processing of task-relevant information, while reductions can be interpreted as suppression of irrelevant activity to...
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10.1038/S42003-025-08295-2
ISSN:2399-3642

Serotonin regulation of behavior via large-scale neuromodulation of serotonin receptor networks

Salvan PiergiorgioFonseca MadalenaWinkler Anderson M.Beauchamp AntoineLerch Jason P.6
Nature Neuroscience
2022
2022/12/15
Vol.26 No.1 p.53-63
Although we understand how serotonin receptors function at the single-cell level, what role different serotonin receptors play in regulating brain-wide activity and, in turn, human behavior, remains unknown. Here, we developed transcriptomic–neuroimaging mapping to characterize brain-wide functional...
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10.1038/S41593-022-01213-3
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Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures

Ibai DiezFernando García-MorenoNayara Carral-SainzSebastiano StramagliaAlicia Nieto-Reyes8
Nature Communications
2025
2025/12/31
0
Understanding the architectural principles that shape human brain networks is a major challenge for systems neuroscience. We hypothesize that the centrality of the different brain circuits in the human connectome is a product of their embryogenic age, such that early-born nodes should become stronge...
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10.1038/S41467-025-67785-3
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Decomposing cortical activity through neuronal tracing connectome-eigenmodes in marmosets

Jie XiaCirong LiuJiao LiYao MengSiqi Yang7
Nature Communications
2024
2024/3/13
Vol.15 No.1 p.1-13
Deciphering the complex relationship between neuroanatomical connections and functional activity in primate brains remains a daunting task, especially regarding the influence of monosynaptic connectivity on cortical activity. Here, we investigate the anatomical-functional relationship and decompose ...
BrainNeural circuits
10.1038/S41467-024-46651-8
ISSN:2041-1723

Geometric constraints on human brain function

James C. PangKevin M. AquinoMarianne OldehinkelPeter A. RobinsonBen D. Fulcher7
Nature
2023
2023/5/31
00 p.1-9
The anatomy of the brain necessarily constrains its function, but precisely how remains unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics are driven by interactions between discrete, functionally specialized cell populations connected by a complex array of a...
Cognitive neuroscienceComputational neuroscience
10.1038/S41586-023-06098-1
ISSN:0028-0836

Topographic organization of the human subcortex unveiled with functional connectivity gradients

Ye TianDaniel S. MarguliesMichael BreakspearAndrew Zalesky
Nature Neuroscience
2020
2020/9/28
Vol.23 No.11 p.1421-1432
Brain atlases are fundamental to understanding the topographic organization of the human brain, yet many contemporary human atlases cover only the cerebral cortex, leaving the subcortex a terra incognita. We use functional MRI (fMRI) to map the complex topographic organization of the human subcortex...
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10.1038/S41593-020-00711-6
ISSN:1097-6256

A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity

Jacob TannerJoshua FaskowitzAndreia Sofia TeixeiraCaio SeguinLudovico Coletta8
Nature Communications
2024
2024/7/12
Vol.15 No.1 p.1-18
The macroscale connectome is the network of physical, white-matter tracts between brain areas. The connections are generally weighted and their values interpreted as measures of communication efficacy. In most applications, weights are either assigned based on imaging features–e.g. diffusion paramet...
Cognitive neuroscienceNetwork models
10.1038/S41467-024-50248-6
ISSN:2041-1723

Two common and distinct forms of variation in human functional brain networks

Ally DworetskyBenjamin A. SeitzmanBabatunde AdeyemoAshley N. NielsenAlexander S. Hatoum10
Nature Neuroscience
2024
2024/4/30
00 p.1-12
The cortex has a characteristic layout with specialized functional areas forming distributed large-scale networks. However, substantial work shows striking variation in this organization across people, which relates to differences in behavior. While most previous work treats individual differences a...
Cognitive neuroscienceFunctional magnetic resonance imaging
10.1038/S41593-024-01618-2
ISSN:1097-6256