Evidence map›Paper›PMID 34584210›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2022

Prefrontal connectomics: from anatomy to human imaging.

Suzanne N Haber, Hesheng Liu, Jakob Seidlitz, Ed Bullmore

Open access · hybridAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
8.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 109 citations in OpenAlex.

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  20. The modular nature of long-association pathways in the human brain.bioRxiv : the preprint server for biology · 2026
    Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Suzanne N HaberDepartment of Pharmacology and Physiology, University of Rochester School of Medicine & Dentistry, Rochester, NY, 14642, USA. Suzanne_haber@urmc.rochester.edu.
Hesheng LiuDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA.ORCID http://orcid.org/0000-0002-7233-1509
Jakob SeidlitzDepartment of Psychiatry, University of Pennsylvania, Philadelphia, USA.ORCID http://orcid.org/0000-0002-8164-7476
Ed BullmoreDepartment of Psychiatry, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Cambridge Biomedical Campus, Cambridge, CB2 0SZ, UK.
Harvard University · USMcLean Hospital · USUniversity of Cambridge · GBUniversity of Pennsylvania · US

Funding

Continuity of the Limbic Circuit Through the Basal GangliaR01MH045573 · NIMH · UNIVERSITY OF ROCHESTER · PI HABER, SUZANNE N · 1989 to 2024
$10.1M
Medical Research Council MC_G0802534NIMH NIH HHS R01 MH045573
6 · The paper itself

Abstract

The fundamental importance of prefrontal cortical connectivity to information processing and, therefore, disorders of cognition, emotion, and behavior has been recognized for decades. Anatomic tracing studies in animals have formed the basis for delineating the direct monosynaptic connectivity, from cells of origin, through axon trajectories, to synaptic terminals. Advances in neuroimaging combined with network science have taken the lead in developing complex wiring diagrams or connectomes of the human brain. A key question is how well these magnetic resonance imaging (MRI)-derived networks and hubs reflect the anatomic "hard wiring" first proposed to underlie the distribution of information for large-scale network interactions. In this review, we address this challenge by focusing on what is known about monosynaptic prefrontal cortical connections in non-human primates and how this compares to MRI-derived measurements of network organization in humans. First, we outline the anatomic cortical connections and pathways for each prefrontal cortex (PFC) region. We then review the available MRI-based techniques for indirectly measuring structural and functional connectivity, and introduce graph theoretical methods for analysis of hubs, modules, and topologically integrative features of the connectome. Finally, we bring these two approaches together, using specific examples, to demonstrate how monosynaptic connections, demonstrated by tract-tracing studies, can directly inform understanding of the composition of PFC nodes and hubs, and the edges or pathways that connect PFC to cortical and subcortical areas.

Indexed as

ConnectomeAnimalsBrainHumansMagnetic Resonance ImagingNerve NetNeural PathwaysNeuroimagingPrefrontal Cortex

Identifiers

PMID34584210
PMCPMC8617085
OpenAlexW3202828119

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.