The present disclosure relates to data acquisition, and in particular to thin film connectors between a lead assembly and a data acquisition system. Particularly, aspects of the present disclosure are directed to a connector that includes a button having a housing and conductive pins extending from a proximal end of the housing through a base plate into a cavity on a distal end of the housing. The connector further includes a thin-film adapter having: (i) a supporting structure, (ii) bond pads formed on the supporting structure, (iii) a cable having conductive traces electrically connected to the bond pads, and (iv) feedthroughs that pass through the supporting structure and are electrically connected with the bond pads. Each conductive pin extends through a feedthrough, and each conductive pin is in electrical connection with one or more conductive traces via each bond pad.

In an embodiment, a system includes a first sensor sensing brain signal data from a user, the brain signal data including nerve signals transmitted via a brain of the user and corresponding to a first set of words spoken by the user. The system also includes a second sensor sensing audio data from the user corresponding to the first set of words and one or more processors communicatively coupled to the first sensor and the second sensor. In the embodiment, the one or more processors generate text data based on the audio data using a machine learning algorithm and re-train the machine learning algorithm based on the brain signal data and the text data to generate a re-trained machine learning algorithm, wherein the re-trained machine learning algorithm generates second text data associated with a second set of words based on second brain signal data.

Embodiments may comprise receiving electrical and optical signals from electrophysiological neural signals of neural tissue from at least one read modality, wherein the electrophysiological neural signals are at least one of Spike frequency modulated or Spike frequency demodulated, encoding the received electrical and optical signals using a Fundamental Code Unit, automatically generating at least one machine learning model using the Fundamental Code Unit encoded electrical and optical signals, generating at least one optical or electrical signal to be transmitted to the brain tissue using the generated at least one machine learning model, wherein the generated signals are at least one of Spike frequency modulated or Spike frequency demodulated, and transmitting the generated at least one optical or electrical signal to the neural tissue to provide electrophysiological stimulation of the neural tissue using at least one write modality.

Provided are compositions and methods for detecting and modulating oscillatory patterns within the basolateral amygdala (BLA) for diagnosis and treatment of anxiety related disorders.

An implantable device has a slim carrier with first and second sides. The two sides each have a signal electrode and a body potential electrode. The body potential electrodes are internally connected. Electrodes on opposing sides are aligned. An insulating extension of insulating material extends beyond a perimeter of the carrier to increase device sensitivity. If the carrier is hollow, there may be an IC inside to provide active functions including power management, communication, device control, and signal storage. The IC may include an amplifier and an ADC to sense signals, that it may store in memory and/or communicate to an external interface unit (EIU). The IC may include a DAC and a power amplifier to electrically stimulate tissue with signals received from the EIU.

Brain states, which correlate with specific motor, cognitive, and emotional states, are non-invasively monitored, representing macroscopic cortical activity manifested as oscillatory network dynamics. Sensory and/or transcranial stimulation, entraining brain rhythms, effectively induce desired brain states correlated with a state of sleep or state of attention. Brain waves are recorded from a donor which are then inverted by processing and used to entrain the brain of a recipient. Brain states may thus be transferred between people by acquiring an associated cortical signature from a donor, which, following processing, is applied to a recipient through sensory or transcranial stimulation. This technique provides an effective neuromodulation approach to the noninvasive, non-pharmacological treatment of a variety of psychiatric and neurological disorders for which current treatments are mostly limited to pharmacotherapeutic interventions.

Brain states, which correlate with specific motor, cognitive, and emotional states, are non-invasively monitored, representing macroscopic cortical activity manifested as oscillatory network dynamics. Sensory and/or transcranial stimulation, entraining brain rhythms, effectively induce desired brain states correlated with a state of sleep or state of attention. Brain waves are recorded from a donor which are then inverted by processing and used to entrain the brain of a recipient. Brain states may thus be transferred between people by acquiring an associated cortical signature from a donor, which, following processing, is applied to a recipient through sensory or transcranial stimulation. This technique provides an effective neuromodulation approach to the noninvasive, non-pharmacological treatment of a variety of psychiatric and neurological disorders for which current treatments are mostly limited to pharmacotherapeutic interventions.

A tissue retention system to assist in maintaining adipose tissue on a patient in a displaced position during a medical procedure to provide access to a body region of the patient includes an anchor pad having a pad length and a pad width. The anchor pad may include a pad body with an adhesive surface thereon, the adhesive being configured to adhere to a patient's skin. The anchor pad also may include an opposing first attachment surface facing away from the adhesive surface. The tissue retention system also may include a tension member having a second attachment surface.

A base for supporting a piezoelectric sensor comprising: a generally planar support frame having an upper side, a lower side, and an opening defined between the upper side and lower side; and a housing mounted in the opening, the housing including an upper portion and a lower portion, the upper portion including a sensor disposed therein and the lower portion includes a biasing member in contact with the sensor, wherein the sensor is biased by the biasing force of the biasing member against the upper portion of the housing, whereby the upper portion is in turn biased by the biasing force against a floor of a cage positioned on the upper side of the support frame.

A craniode is positioned in an intra-osseous fashion, namely partly or wholly within the bone of the skull, without penetrating the interior of the skull, while also being positioned below the scalp. A craniode can be used to sense electrical signals from a brain, to electrically stimulate the brain, to emit light signals to the brain, to detect light signals from the brain, to perform functional near infrared spectroscopy on the brain, and to perform photobiomodulation on the brain; and can, for example, provide the ability to perform these procedures in daily life. To resolve the problem of connectivity, each craniode can be connected, or can be equipped with features that make it connectable, to a subcutaneous cable, thus enabling the long-term usage of the craniode in real-life settings; or, active electrodes can be used to transmit signals wirelessly. Transcutaneous and sub-scalp implantation techniques are also provided.