The functional neuroanatomy of unipolar major depression was investigated using positron emission tomography to measure differences in regional cerebral blood flow (BF). A relatively homogeneous subject group was obtained using criteria for familial pure depressive disease (FPDD), which are based upon family history as well as upon symptoms and course. Because of the absence of certain knowledge about the pathophysiology of mood disorders and their underlying functional neuroanatomy, we used data obtained from the subtraction of composite images from one-half of depressed and control subjects to identify candidate regions of interest. The major cortical region defined in this manner was statistically tested on a second set of subjects. Using this strategy, we found increased BF in an area that extended from the left ventrolateral prefrontal cortex onto the medial prefrontal cortical surface. Based upon the connectivity between these portions of the prefrontal cortex and the amygdala and evidence that the amygdala is involved in emotional modulation, activity was measured in the left amygdala and found to be significantly increased in the depressed group. A separate group of subjects with FPDD who were currently asymptomatic were also imaged to determine whether these findings represented abnormalities associated with the depressed state, or with a trait difference that might underlie the tendency to become depressed. Only the depressed group had increased activity in the left prefrontal cortex, suggesting that this abnormality represents a state marker of FPDD. Both the depressed and the remitted groups demonstrated increased activity in the left amygdala, though this difference achieved significance only in the depressed group. This suggests that the abnormality involving the left amygdala may represent a trait marker of FPDD, though further assessment in a larger sample size is necessary to establish this. These data along with other evidence suggest that a circuit involving the prefrontal cortex, amygdala, and related parts of the striatum, pallidum, and medial thalamus is involved in the functional neuroanatomy of depression.

The intrinsic cortico-cortical connections within the orbital and medial prefrontal cortex (OMPFC) were demonstrated with retrograde and anterograde tracers injected into each of the architectonic areas that constitute this region. Although many of the connections linked neighboring areas, others selectively connected relatively distant areas. Most, but not all, of the connections were reciprocal. Altogether, the connections formed at least two distinct networks within the OMPFC. The "orbital" prefrontal network linked most of the areas within the orbital cortex, with very few connections to medial prefrontal areas. Areas Iam, Iapm, Ial, 12l, 12m, and 12r in the caudal and lateral parts of the orbital cortex (which received inputs from several sensory modalities) had convergent connections with areas 13l, 13m, and 13b in the central orbital cortex, with further connections to the rostral orbital area 11l. For the connections between areas Iapm, Iam, Ial, 13m, 13l, and 11l, rostrally directed fibers arose mainly in layer V, whereas caudally directed fibers originated mainly in layer III. The "medial" prefrontal network selectively involved medial areas 14r, 14c, 24, 25, 32, and 10m, rostral orbital areas 10o and 11m, and agranular insular area Iai in the posterior orbital cortex. Two orbital areas, 13a and 12o, had substantial connections to both networks and may serve as points of interaction between them; otherwise there were relatively few interconnections. The two networks also had distinct connections with other cortical regions, with limbic structures, and with the mediodorsal thalamic nucleus. Their role in guidance of affective behaviour is discussed.

An account of the neurobiology of motor recovery in the arm and hand after stroke by two experts in the field. Stroke is a leading cause of disability in adults and recovery is often difficult, with existing rehabilitation therapies largely ineffective. In Broken Movement, John Krakauer and S. Thomas Carmichael, both experts in the field, provide an account of the neurobiology of motor recovery in the arm and hand after stroke. They cover topics that range from behavior to physiology to cellular and molecular biology. Broken Movement is the only accessible single-volume work that covers motor control and motor learning as they apply to stroke recovery and combines them with motor cortical physiology and molecular biology. The authors cast a critical eye at current frameworks and practices, offer new recommendations for promoting recovery, and propose new research directions for the study of brain repair. Krakauer and Carmichael discuss such subjects as the behavioral phenotype of hand and arm paresis in human and non-human primates; the physiology and anatomy of the motor system after stroke; mechanisms of spontaneous recovery; the time course of early recovery; the challenges of chronic stroke; and pharmacological and stem cell therapies. They argue for a new approach in which patients are subjected to higher doses and intensities of rehabilitation in a more dynamic and enriching environment early after stroke. Finally they review the potential of four areas to improve motor recovery: video gaming and virtual reality, invasive brain stimulation, re-opening the sensitive period after stroke, and the application of precision medicine.

Detailed behavioral analysis is key to understanding the brain-behavior relationship. Here, we present deep learning-based methods for analysis of behavior imaging data in mice and humans. Specifically, we use three different convolutional neural network architectures and five different behavior tasks in mice and humans and provide detailed instructions for rapid implementation of these methods for the neuroscience community. We provide examples of three dimensional (3D) kinematic analysis in the food pellet reaching task in mice, three-chamber test in mice, social interaction test in freely moving mice with simultaneous miniscope calcium imaging, and 3D kinematic analysis of two upper extremity movements in humans (reaching and alternating pronation/supination). We demonstrate that the transfer learning approach accelerates the training of the network when using images from these types of behavior video recordings. We also provide code for post-processing of the data after initial analysis with deep learning. Our methods expand the repertoire of available tools using deep learning for behavior analysis by providing detailed instructions on implementation, applications in several behavior tests, and post-processing methods and annotated code for detailed behavior analysis. Moreover, our methods in human motor behavior can be used in the clinic to assess motor function during recovery after an injury such as stroke.

Treatments that stimulate neuronal excitability enhance motor performance after stroke. cAMP-response-element binding protein (CREB) is a transcription factor that plays a key role in neuronal excitability. Increasing the levels of CREB with a viral vector in a small pool of motor neurons enhances motor recovery after stroke, while blocking CREB signaling prevents stroke recovery. Silencing CREB-transfected neurons in the peri-infarct region with the hM4Di-DREADD blocks motor recovery. Reversing this inhibition allows recovery to continue, demonstrating that by manipulating the activity of CREB-transfected neurons it is possible to turn off and on stroke recovery. CREB transfection enhances remapping of injured somatosensory and motor circuits, and induces the formation of new connections within these circuits. CREB is a central molecular node in the circuit responses after stroke that lead to recovery from motor deficits.